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[null,null,null,null,null,null,null,"Woodland Valuation Tool",null,null,null,null,null,null,null,null,"Glossary "]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Intermediate Environmental Goods and Services (IEGS) \nEnvironmentally produced goods and services that act as inputs to some other environmental process. \n\nFinal Environmental Goods and Services (FEGS) \nEnvironmentally produced goods and services that enter household or firm production functions without further biophysical translation i.e. those particular subset of Environmental Goods and Services that have direct and immediate consequences for productive activities in the (human) economy. \n\nBeneficiaries\nEach final ecosystem good and service can provide benefits to multiple agents, referred to here as beneficiaries.  It is the beneficiary who experiences a change in welfare from the change in Final Environmental Goods and Services and this is what is being valued in economic valuation studies; as such, each beneficiary is given a separate entry within the tool, this allows us to outline valuation methods and existing literature relevant to the particular beneficiary (e.g. general public, water companies, farmers etc.). \n\nCharacteristics (units)\nThere are a number of sources of value, including psychological, consumptive and immersive. The value provided by a final environmental good or service is affected by characteristics such as the quality of the service, its location etc. The units of measurements and the units valued is important to note. Valuation studies may be measuring subtly different characteristics e.g. ecological vs biological water quality or nitrates (N), phosphates (P), potassium (K) and chlorophyll amounts.\n\nContext\nValuing Final Environmental Goods and Services is achievable but not straightforward. It is important to understand how each good/service fits into a series of complicated production functions that have many other arguments. We describe the current levels of those other arguments as context.  Context can modify the characteristics of value; examples include risk, thresholds, non-marginality, socioeconomics, substitute availability, and temporal aspects.  We feel it is important to distinguish between characteristics of the good/service and the context and to understand their relevance for the use and transferability of values.\n"]
[null,null,null,null,null,"The Woodland Valuation Tool (WVT) was developed in 2015 (and updated in 2018) as part of the Scoping study on valuing the social and environmental benefits of trees and woodlands in England, Scotland and Wales, funded by the Forestry Commission. The authors would like to thank members of the steering group for their invaluable contributions and comments. Of course, the authors remain responsible for any errors and/or omissions.\n\nPlease see the Woodland Valuation Tool User Guide for complete instructions\n\n"]
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[null,null,null,null,null,"The invitation to tender for the scoping study on valuing the social and environmental benefits of trees and woodlands in England, Scotland and Wales set out a number of key objectives for the work, three of which are addressed by the Woodland Valuation Tool (WVT):\n     (i). Identify the uses to which forest ecosystem service values may be applied in order to understand future data requirements;\n     (ii). Assess the technical validity of current value estimates, and identify gaps, spatial techniques and models available to support the estimation and analysis of social and environmental values from forests;\n     (iii). Assess whether and how values can be estimated to satisfy the purposes identified in (i).\n\nThe research teams at CSERGE and LEEP undertook a comprehensive analysis of how technical and methodological developments are transforming the potential for ecosystem service related research and decision-making. The methods, data and modelling techniques, which underpin the existing evidence base on the value of woodlands and trees were critically evaluated so as to provide a practical set of actionable options for enhancing that evidence base and improving decision making.  \n\nThe results of the scoping study are organised in the Tool to enable users to search for and cross reference appropriate methods, existing literature and gaps in the literature with particular types of final ecosystem goods and services, beneficiaries and production functions related to trees and woodlands. \n\nThe tool is intended for use by analysts involved in forest management decisions. It has been designed to be easy to use, multiplatform, accessible using open source software, and simple to update and extend.  The tool is provided in Microsoft Excel v.2007 and above as Excel is a familiar and easily accessible program for the target users. All instructions are for Microsoft Office 2013 but should be very similar in versions 2007 and 2010.\n"]
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[null,null,null,null,null,"For further details please contact A. Binner at the Land, Environment, Economics and Policy Institute, University of Exeter"]
[null,null,null,null,null,"click to send email"]

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["Search Options",null,null,"Woodland Valuation Tool: Summary Search"]
[null,"Drop down menus (click in red boxes below)"]
["Final environmental goods and services:","All","Use the drop down menus to select which final environmental goods and services, production functions and beneficiaries to view.  "]
["Production Function:","All"]
["Beneficiaries:","All"]
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["SEARCH RESULTS\nPATHWAY DETAILS AND SUMMARY INFORMATION"]
[null,null,null,null,"Number of results:",{"$f":"SUM('Master Data 1'!A:A)","v":155}]
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["Final Environmental Goods and Services","Production function","Beneficiaries","Characteristcs (units)","Context","Valuation Methods","Existing literature","Urban Trees literature"]
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[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(2:2))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(2:2))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(2:2))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(2:2))-1,3))","v":"Carbon"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(2:2))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(2:2))-1,4))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(2:2))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(2:2))-1,5))","v":"tC, tCO2e"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(2:2))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(2:2))-1,6))","v":"Emissions reduction targets"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(2:2))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(2:2))-1,7))","v":"Social cost of carbon, abatement costs"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(2:2))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(2:2))-1,9))","v":"Brainard, J., et al. (2003). Social & Environmental Benefits of Forestry Phase 2: Carbon Sequestration Benefits of Woodland, Report to Forestry Commission, Edinburgh.\n\nBrainard, J., et al. (2009). \"The social value of carbon sequestered in Great Britain's woodlands.\" Ecological Economics 68(4): 1257-1267.\n\nFelardo, J., Lippitt, C.D. (2016). Spatial forest valuation: The role of location in determining attitudes toward payment for ecosystem services policies. Forest Policy and Economics 62: 158-167.\n\nForest Enterprise England (2016). Natural capital accounts 2015-16. \n\nHäyhä, T., Franzese, P., Paletto, A., Fath, B.D. (2015). Assessing, valuing, and mapping ecosystem services in Alpine forests. Ecosystem Services 14: 12-23.\n\nHolt, A. and Rouquette, J. (2017). The quantification and valuation of the environmental, social and economic impacts of the Forest of Marston Vale. Report prepared for:\nThe Forest of Marston Vale, March 2017\n\nMasiero, M., Davide M. Pettenella, Laura Secco (2016). From failure to value: economic valuation for a selected set of products and services from Mediterranean forests. Forest Systems 25(1): 16 pages\n\nNowak et al. (2007) Assessing Urban Forest Effects and Values: New York's Urban Forest, USDA, Resource bulletin NRS-9\n\nNowak et al. (2010) Assessing Urban Forest Effects and Values: Chicago's Urban Forest, USDA, Resource bulletin NRS-37\n\nNowak et al. (2010) Assessing Urban Forest Effects and Values: San Francisco's Urban Forest, USDA, Resource bulletin NRS-8\n\nNowak et al. (2012) Assessing Urban Forest Effects and Values: Toronto’s Urban Forest, USDA Resource bulletin NRS-79\n\nRoesch-McNally, G.E., Rabotyagov, S.S. (2016).  Paying for Forest Ecosystem Services: Voluntary Versus Mandatory Payments. Environmental Management 57: 585-600.\n\nRumble, H., et al. (2014). Valuing Wrexham’s Urban Forest: Assessing the Ecosystem Services of Wrexham’s Urban Trees: A Technical Report, Forest Research, UK.\n\nRumble, H., et al. (2015). Valuing urban trees in Glasgow: Assessing the Ecosystem Services of Glasgow’s Urban Forest: A Technical Report, Forest Research, UK.\n\nSoares, A. L., et al. (2011). \"Benefits and costs of street trees in Lisbon, Portugal.\" Urban Forestry & Urban Greening 10(2): 69-78.\n\nRogers, K., Jaluzot, A., & Neilan, C. (2012). Green Benefits in Victoria Business Improvement District, Victoria Business Improvement District, London, UK\n\nTol, R.S. (2013) Targets for global climate policy: An overview. Journal of Economic Dynamics and Control 37, 911-928.\n\nBalderas Torres, A., Douglas C. MacMillan, Margaret Skutsch, Jon C. Lovett (2015). Reprint of ‘Yes-in-my-backyard’: Spatial differences in the valuation of forest services and local co-beneﬁts for carbon markets in México. Ecological Economics 117:283-294\n\nvan Kooten, G. C. and B. Sohngen (2007). \"Economics of forest ecosystem carbon sinks: A review.\" International Review of Environmental and Resource Economics 1(3): 237-269.\n\nNijnik, M., et al. (2013). \"An economic analysis of the establishment of forest plantations in the United Kingdom to mitigate climatic change.\" Forest Policy and Economics 26: 34-42.\n\nValatin, G. (2010). Forests and carbon: valuation, discounting and risk management, Forestry Commission Research Report. Forestry Commission, Edinburgh.\n\nTol, R. S. (2011). The social cost of carbon. Annu. Rev. Resour. Econ., 3(1), 419-443\n\nNordhaus, W. (2014). Estimates of the social cost of carbon: concepts and results from the DICE-2013R model and alternative approaches. Journal of the Association of Environmental and Resource Economists, 1(1), 273-312\n\nHutchings, T. R., V. Lawrence, and A. Brunt (2012): \"Estimating the Ecosystem Services Value of Edinburgh’s Trees \": Report by Forest Research, Forest Research UK.\n\nVarela, E., Jette Bredahl Jacobsen, Robert Mavsar (2017). Social demand for multiple beneﬁts provided by Aleppo pine forest management in Catalonia, Spain. Reg Environ Change 17:539-550"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(2:2))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(2:2))-1,10))","v":"Mutch et al. (2017). Understanding the value of Southampton’s urban trees. Results of the 2016 i-Tree Eco survey. University of Southampton, Forest Research, Treeconomics and Southampton City Council. Southampton. 81pp. ISBN 978-0-85432-004-2.\n\nMoffat et al. (2017). Petersfield’s trees - their importance and value. Results of the i-Tree Eco survey. Report to East Hampshire District Council, South Downs National Park Authority and Petersfield Town Council. The Petersfield Society, Petersfield.\n\nRogers, K., Doick, K., Watson, J., and Osborne, E. (2018) Valuing Ealing’s Urban Trees. Trees for Cities and Treeconomics"}]
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[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(5:5))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(5:5))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(5:5))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(5:5))-1,3))","v":"Learning services"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(5:5))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(5:5))-1,4))","v":"Independent learners"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(5:5))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(5:5))-1,5))","v":"Concentration (ppmv/ppm), presence/absence, smell, clarity"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(5:5))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(5:5))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(5:5))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(5:5))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(5:5))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(5:5))-1,9))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(5:5))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(5:5))-1,10))","v":0}]
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[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(7:7))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(7:7))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(7:7))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(7:7))-1,3))","v":"Mental health"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(7:7))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(7:7))-1,4))","v":"Health care providers"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(7:7))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(7:7))-1,5))","v":"Concentration (ppmv/ppm), presence/absence, smell, clarity"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(7:7))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(7:7))-1,6))","v":"Other inputs into mental health including physical health, lifestyle (employment, income, stress), open space, water quality, nutrition etc.\nAge\nAvailable support systems - e.g. community programs"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(7:7))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(7:7))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(7:7))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(7:7))-1,9))","v":"Europe Economics (2015). The economic benefits of woodland, A report for the Woodland Trust, London, UK."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(7:7))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(7:7))-1,10))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(8:8))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(8:8))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(8:8))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(8:8))-1,3))","v":"Mental health"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(8:8))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(8:8))-1,4))","v":"Insurance companies"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(8:8))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(8:8))-1,5))","v":"Concentration (ppmv/ppm), presence/absence, smell, clarity"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(8:8))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(8:8))-1,6))","v":"Other inputs into mental health including physical health, lifestyle (employment, income, stress), open space, water quality, nutrition etc.\nAge"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(8:8))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(8:8))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(8:8))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(8:8))-1,9))","v":"Europe Economics (2015). The economic benefits of woodland, A report for the Woodland Trust, London, UK."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(8:8))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(8:8))-1,10))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(10:10))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(10:10))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(10:10))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(10:10))-1,3))","v":"Physical health"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(10:10))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(10:10))-1,4))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(10:10))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(10:10))-1,5))","v":"Concentration (ppmv/ppm), presence/absence"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(10:10))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(10:10))-1,6))","v":"Infrastructure (e.g. Hong Kong - covered and ventilated walkways)\nOther inputs into health including lifestyle, illnesses, open space, water quality, nutrition etc.\nAge"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(10:10))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(10:10))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(10:10))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(10:10))-1,9))","v":"Bullock, C., et al. (2014). \"Realising the ecosystem-service value of native woodland in Ireland.\" New Zealand Journal of Forestry Science 44(Suppl 1): S4.\n\nChristie, M., et al. (2011). Economic Valuation of the Benefits of Ecosystem Services delivered by the UK Biodiversity Action Plan, Report to Defra, London.\n\nDefra (2013). Impact pathway guidance for valuing changes in air quality Defra, London.\n\nEftec (2010). The economic contribution of the Forestry Commission public forest estate in England, Final Report to Forestry Commission.\n\nEftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.\n\nEurope Economics (2015). The economic benefits of woodland, A report for the Woodland Trust, London, UK.\n\nJones, L., Vieno, M., Morton, D., Cryle, P., Holland, M., Carnell, E., Nemitz, E., Hall, J., Beck, R., Reis, S., Pritchard, N., Hayes, F., Mills, G., Koshy, A., Dickie, I. (2017). Developing Estimates for\nthe Valuation of Air Pollution Removal in Ecosystem Accounts. Final report for Office of National Statistics, July 2017.\n\nPowe, N. A. and K. G. Willis (2002). Social & Environmental Benefits of Forestry Phase 2 : Mortality and Morbidity Benefits of Air Pollution Absorption by Woodland, Report to Forestry Commission, Edinburgh.\n\nPowe, N. A. and K. G. Willis (2004). \"Mortality and morbidity benefits of air pollution (SO2 and PM10) absorption attributable to woodland in Britain.\" Journal of Environmental Management 70(2): 119-128.\n\nRegeneris Consulting (2009). The Economic Contribution of The Mersey Forest's Objective One-Funded Investments A Final Report by Regeneris Consulting, Cheshire, UK."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(10:10))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(10:10))-1,10))","v":"Akbari, H. (2002). \"Shade trees reduce building energy use and CO2 emissions from power plants.\" Environmental Pollution 116: S119-S126.\n\nMutch et al. (2017). Understanding the value of Southampton’s urban trees. Results of the 2016 i-Tree Eco survey. University of Southampton, Forest Research, Treeconomics and Southampton City Council. Southampton. 81pp. ISBN 978-0-85432-004-2.\n\nMoffat et al. (2017). Petersfield’s trees - their importance and value. Results of the i-Tree Eco survey. Report to East Hampshire District Council, South Downs National Park Authority and Petersfield Town Council. The Petersfield Society, Petersfield.\n\nNowak, D. J., et al. (2001). \"Assessing the value of urban forests in the United States.\" Proceedings of the Society of American Foresters, 2001 National Convention: 237-241.\n\nNowak, D. J., et al. (2014). \"Tree and forest effects on air quality and human health in the United States.\" Environmental Pollution 193: 119-129.\n\nRogers, K., et al. (2012). Green Benefits in Victoria Business Improvement District: An analysis of the benefits of trees and other green assets in the Victoria Business Improvement District.\n\nRogers, K., Doick, K., Watson, J., and Osborne, E. (2018) Valuing Ealing’s Urban Trees. Trees for Cities and Treeconomics\n\nRumble, H., et al. (2015). Valuing urban trees in Glasgow: Assessing the Ecosystem Services of Glasgow’s Urban Forest: A Technical Report, Forest Research, UK.\n\nRumble, H., et al. (2014). Valuing Wrexham’s Urban Forest: Assessing the Ecosystem Services of Wrexham’s Urban Trees: A Technical Report, Forest Research, UK.\n\nSoares, A. L., et al. (2011). \"Benefits and costs of street trees in Lisbon, Portugal.\" Urban Forestry & Urban Greening 10(2): 69-78.\n\nTiwary, A., et al. (2009). \"An integrated tool to assess the role of new planting in PM10 capture and the human health benefits: A case study in London.\" Environmental Pollution 157(10): 2645-2653."}]
[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(11:11))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(11:11))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(11:11))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(11:11))-1,3))","v":"Physical health"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(11:11))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(11:11))-1,4))","v":"Health care providers"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(11:11))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(11:11))-1,5))","v":"Concentration (ppmv/ppm), presence/absence"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(11:11))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(11:11))-1,6))","v":"Infrastructure (e.g. Hong Kong - covered and ventilated walkways)\nOther inputs into health including lifestyle, illnesses, open space, water quality, nutrition etc.\nAge"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(11:11))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(11:11))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(11:11))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(11:11))-1,9))","v":"Bullock, C., et al. (2014). \"Realising the ecosystem-service value of native woodland in Ireland.\" New Zealand Journal of Forestry Science 44(Suppl 1): S4.\n\nDefra (2013). Impact pathway guidance for valuing changes in air quality Defra, London.\n\nEftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.\n\nEurope Economics (2015). The economic benefits of woodland, A report for the Woodland Trust, London, UK.\n\nPowe, N. A. and K. G. Willis (2002). Social & Environmental Benefits of Forestry Phase 2 : Mortality and Morbidity Benefits of Air Pollution Absorption by Woodland, Report to Forestry Commission, Edinburgh.\n\nPowe, N. A. and K. G. Willis (2004). \"Mortality and morbidity benefits of air pollution (SO2 and PM10) absorption attributable to woodland in Britain.\" Journal of Environmental Management 70(2): 119-128.\n\nRegeneris Consulting (2009). The Economic Contribution of The Mersey Forest's Objective One-Funded Investments A Final Report by Regeneris Consulting, Cheshire, UK."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(11:11))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(11:11))-1,10))","v":"Akbari, H. (2002). \"Shade trees reduce building energy use and CO2 emissions from power plants.\" Environmental Pollution 116: S119-S126.\n\nNowak, D. J., et al. (2001). \"Assessing the value of urban forests in the United States.\" Proceedings of the Society of American Foresters, 2001 National Convention: 237-241.\n\nNowak, D. J., et al. (2014). \"Tree and forest effects on air quality and human health in the United States.\" Environmental Pollution 193: 119-129.\n\nRogers, K., et al. (2012). Green Benefits in Victoria Business Improvement District: An analysis of the benefits of trees and other green assets in the Victoria Business Improvement District.\n\nRumble, H., et al. (2015). Valuing urban trees in Glasgow: Assessing the Ecosystem Services of Glasgow’s Urban Forest: A Technical Report, Forest Research, UK.\n\nRumble, H., et al. (2014). Valuing Wrexham’s Urban Forest: Assessing the Ecosystem Services of Wrexham’s Urban Trees: A Technical Report, Forest Research, UK.\n\nSoares, A. L., et al. (2011). \"Benefits and costs of street trees in Lisbon, Portugal.\" Urban Forestry & Urban Greening 10(2): 69-78.\n\nTiwary, A., et al. (2009). \"An integrated tool to assess the role of new planting in PM10 capture and the human health benefits: A case study in London.\" Environmental Pollution 157(10): 2645-2653."}]
[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(12:12))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(12:12))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(12:12))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(12:12))-1,3))","v":"Physical health"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(12:12))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(12:12))-1,4))","v":"Insurance companies"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(12:12))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(12:12))-1,5))","v":"Concentration (ppmv/ppm), presence/absence"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(12:12))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(12:12))-1,6))","v":"Infrastructure (e.g. Hong Kong - covered and ventilated walkways)\nOther inputs into health including lifestyle, illnesses, open space, water quality, nutrition etc.\nAge"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(12:12))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(12:12))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(12:12))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(12:12))-1,9))","v":"Europe Economics (2015). The economic benefits of woodland, A report for the Woodland Trust, London, UK."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(12:12))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(12:12))-1,10))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(13:13))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(13:13))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(13:13))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(13:13))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(13:13))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(13:13))-1,4))","v":"Recreational users"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(13:13))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(13:13))-1,5))","v":"Concentration (ppmv/ppm), presence/absence, smell, clarity"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(13:13))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(13:13))-1,6))","v":"Other aspects of site quality e.g. water quality and facilities (the value of clean air may be low at a site where the water quality is very bad, but high at a site where the water quality is good)."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(13:13))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(13:13))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(13:13))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(13:13))-1,9))","v":"Bateman, I. J., et al. (1996). \"Household Willingness to Pay and Farmers' Willingness to Accept Compensation for Establishing a Recreational Woodland.\" Journal of Environmental Planning and Management 39(1): 21-43.\n\nBateman, I. J., et al. (1999). \"Developing a methodology for benefit transfers using geographical information systems: Modelling demand for woodland recreation.\" Regional Studies 33(3): 191-205.\n\nBennett, R., et al. (1995). \"The Value of Footpath Provision in the Countryside: A Case-study of Public Access to Urban-fringe Woodland.\" Journal of Environmental Planning and Management 38(3): 409-418.\n\nBishop, K. (1992). \"Assessing the benefits of community forests: an evaluation of the recreational use benefits of two urban fringe woodlands.\" Journal of Environmental Planning and Management 35(1): 63-76.\n\nChristie, M., et al. (2006). Valuing forest recreation activities: Final Phase 2 Report.\n\nEftec (2010). The economic contribution of the Forestry Commission public forest estate in England, Final Report to Forestry Commission.\n\nEftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.\n\nEurope Economics (2015). The economic benefits of woodland, A report for the Woodland Trust, London, UK.\n\nScarpa, R. (2003). Social & Environmental Benefits of Forestry Phase 2 : The Recreation Value of Woodlands, Report to Forestry Commission, Edinburgh.\n\nSen, A., et al. (2014). \"Economic Assessment of the Recreational Value of Ecosystems: Methodological Development and National and Local Application.\" Environmental & Resource Economics 57(2): 233-249.\n\nTermansen, M., et al. (2013). \"Modelling and mapping spatial heterogeneity in forest recreation services.\" Ecological Economics 92: 48-57.\n\nTinch, R., et al. (2009). Economic valuation of uplands ecosystem services, A Natural England Commissioned Report NECR029.\n\nVerkerk, P. J., et al. (2014). \"Assessing impacts of intensified biomass production and biodiversity protection on ecosystem services provided by European forests.\" Ecosystem Services 9: 155-165.\n\nWillis, K. G. and G. D. Garrod (1991). \"An Individual Travel-Cost Method of Evaluating Forest Recreation.\" Journal of Agricultural Economics 42(1): 33-42."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(13:13))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(13:13))-1,10))","v":"Smailes, P. J. and D. L. Smith (2001). \"The growing recreational use of state forest lands in the Adelaide hills.\" Land Use Policy 18(2): 137-152.\n\nTyrväinen, L. (2001). \"Economic valuation of urban forest benefits in Finland.\" Journal of Environmental Management 62(1): 75-92.\n\nTyrväinen, L. and H. Väänänen (1998). \"The economic value of urban forest amenities: an application of the contingent valuation method.\" Landscape and Urban Planning 43(1–3): 105-118."}]
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[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(15:15))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(15:15))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(15:15))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(15:15))-1,3))","v":"Spiritual and cultural"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(15:15))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(15:15))-1,4))","v":"Non users"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(15:15))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(15:15))-1,5))","v":"Concentration (ppmv/ppm), presence/absence, smell, clarity"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(15:15))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(15:15))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(15:15))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(15:15))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(15:15))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(15:15))-1,9))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(15:15))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(15:15))-1,10))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(16:16))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(16:16))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(16:16))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(16:16))-1,3))","v":"Waste discharge"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(16:16))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(16:16))-1,4))","v":"Commercial property owners"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(16:16))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(16:16))-1,5))","v":"Concentration (ppmv/ ppm)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(16:16))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(16:16))-1,6))","v":"Existing air quality\nRegulatory standards (ppm)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(16:16))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(16:16))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(16:16))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(16:16))-1,9))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(16:16))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(16:16))-1,10))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(17:17))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(17:17))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(17:17))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(17:17))-1,3))","v":"Artistic production"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(17:17))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(17:17))-1,4))","v":"Artists"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(17:17))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(17:17))-1,5))","v":"Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(17:17))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(17:17))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(17:17))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(17:17))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(17:17))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(17:17))-1,9))","v":"Christie, M., et al. (2006). \"Valuing the diversity of biodiversity.\" Ecological Economics 58(2): 304-317.\n\nChristie, M., et al. (2011). Economic Valuation of the Benefits of Ecosystem Services delivered by the UK Biodiversity Action Plan, Report to Defra, London."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(17:17))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(17:17))-1,10))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(18:18))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(18:18))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(18:18))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(18:18))-1,3))","v":"Food - agriculture and fisheries"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(18:18))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(18:18))-1,4))","v":"Farmers"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(18:18))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(18:18))-1,5))","v":"Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(18:18))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(18:18))-1,6))","v":"Water quality\nSubstitutes\nFlora, fauna and fungi\nSoil quality\nPrice of seeds\nDemand for agricultural/fisheries products"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(18:18))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(18:18))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(18:18))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(18:18))-1,9))","v":"Bateman, I. J., et al. (2014). UK National Ecosystem Assessment Follow-on. Work Package Report 3: Economic value of ecosystem services. UNEP-WCMC, LWEC, UK.\n\nChristie, M., et al. (2011). Economic Valuation of the Benefits of Ecosystem Services delivered by the UK Biodiversity Action Plan, Report to Defra, London.\n\nEftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(18:18))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(18:18))-1,10))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(19:19))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(19:19))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(19:19))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(19:19))-1,3))","v":"Food - agriculture and fisheries"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(19:19))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(19:19))-1,4))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(19:19))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(19:19))-1,5))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(19:19))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(19:19))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(19:19))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(19:19))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(19:19))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(19:19))-1,9))","v":"Ojea, E., Loureiro, M.L., Allo' M., Barrio, M. (2016). Ecosystem Services and REDD: Estimating the Benefits of Non-Carbon Services in Worldwide Forests. World Development 78: 246–261"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(19:19))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(19:19))-1,10))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(20:20))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(20:20))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(20:20))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(20:20))-1,3))","v":"Food - commercial"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(20:20))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(20:20))-1,4))","v":"Hunter gatherers"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(20:20))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(20:20))-1,5))","v":"Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(20:20))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(20:20))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(20:20))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(20:20))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(20:20))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(20:20))-1,9))","v":"Quine, C. P., et al. (2011). UK National Ecosystem Assessment, Chapter 8: Woodlands, UNEP-WCMC, Cambridge.\n\nHäyhä, T., Franzese, P., Paletto, A., Fath, B.D. (2015). Assessing, valuing, and mapping ecosystem services in Alpine forests. Ecosystem Services 14: 12-23.\n\nValatin, G. and J. Starling (2010). UK NEA Economic Analysis Report: Valuation of ecosystem services provided by UK woodlands UNEP-WCMC, Cambridge."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(20:20))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(20:20))-1,10))","v":"Moons, E. (2002). Cost- benefit analysis of the location of new forest land, Energy, Transport and Environment Working Papers Series.\n\nMoons, E., et al. (2008). \"Optimal location of new forests in a suburban region.\" Journal of Forest Economics 14(1): 5-27."}]
[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(21:21))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(21:21))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(21:21))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(21:21))-1,3))","v":"Food - subsistence"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(21:21))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(21:21))-1,4))","v":"Non timber forest product extractors"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(21:21))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(21:21))-1,5))","v":"Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(21:21))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(21:21))-1,6))","v":"Plant and seed supply; Net asset value wild game management"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(21:21))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(21:21))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(21:21))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(21:21))-1,9))","v":"Christie, M., et al. (2011). Economic Valuation of the Benefits of Ecosystem Services delivered by the UK Biodiversity Action Plan, Report to Defra, London.\n\nEftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.\n\nForest Enterprise England (2016). Natural capital accounts 2015-16. \n\nMasiero, M., Davide M. Pettenella, Laura Secco (2016). From failure to value: economic valuation for a selected set of products and services from Mediterranean forests. Forest Systems 25(1): 16 pages\n\nQuine, C. P., et al. (2011). UK National Ecosystem Assessment, Chapter 8: Woodlands, UNEP-WCMC, Cambridge.\n\nSchaafsma, M., et al. (2014). \"The importance of local forest benefits: Economic valuation of Non-Timber Forest Products in the Eastern Arc Mountains in Tanzania.\" Global Environmental Change-Human and Policy Dimensions 24: 295-305.\n\nSchaafsma, M., et al. (2012). \"Towards transferable functions for extraction of Non-timber Forest Products: A case study on charcoal production in Tanzania.\" Ecological Economics 80: 48-62.\n\nValatin, G. and J. Starling (2010). UK NEA Economic Analysis Report: Valuation of ecosystem services provided by UK woodlands UNEP-WCMC, Cambridge."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(21:21))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(21:21))-1,10))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(22:22))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(22:22))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(22:22))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(22:22))-1,3))","v":"Food - subsistence"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(22:22))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(22:22))-1,4))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(22:22))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(22:22))-1,5))","v":"Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(22:22))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(22:22))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(22:22))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(22:22))-1,7))","v":"Contingent valuation\nChoice experiment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(22:22))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(22:22))-1,9))","v":"Felardo, J., Lippitt, C.D. (2016). Spatial forest valuation: The role of location in determining attitudes toward payment for ecosystem services policies. Forest Policy and Economics 62: 158-167.\n\nGelo, D. and Koch, S.F. (2015). Contingent valuation of community forestry programs in Ethiopia: controlling for preference anomalies in double-bounded CVM\n\nRai, R.K., Scarborough, H. (2015). Nonmarket valuation in developing countries: incorporating labour contributions in environmental benefits estimates. Australian Journal of Agricultural and Resource Economics 59: 479-498"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(22:22))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(22:22))-1,10))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(23:23))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(23:23))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(23:23))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(23:23))-1,3))","v":"Housing services"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(23:23))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(23:23))-1,4))","v":"Residential property owners"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(23:23))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(23:23))-1,5))","v":"Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(23:23))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(23:23))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(23:23))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(23:23))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(23:23))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(23:23))-1,9))","v":"Christie, M., et al. (2006). \"Valuing the diversity of biodiversity.\" Ecological Economics 58(2): 304-317.\n\nChristie, M., et al. (2011). Economic Valuation of the Benefits of Ecosystem Services delivered by the UK Biodiversity Action Plan, Report to Defra, London."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(23:23))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(23:23))-1,10))","v":"Tyrvainen, L. (1997). \"The amenity value of the urban forest: An application of the hedonic pricing method.\" Landscape and Urban Planning 37(3-4): 211-222.\n\nTyrväinen, L. and A. Miettinen (2000). \"Property Prices and Urban Forest Amenities.\" Journal of Environmental Economics and Management 39(2): 205-223."}]
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[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(25:25))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(25:25))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(25:25))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(25:25))-1,3))","v":"Learning services"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(25:25))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(25:25))-1,4))","v":"Education providers"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(25:25))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(25:25))-1,5))","v":"Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(25:25))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(25:25))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(25:25))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(25:25))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(25:25))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(25:25))-1,9))","v":"Christie, M., et al. (2006). \"Valuing the diversity of biodiversity.\" Ecological Economics 58(2): 304-317.\n\nChristie, M., et al. (2011). Economic Valuation of the Benefits of Ecosystem Services delivered by the UK Biodiversity Action Plan, Report to Defra, London."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(25:25))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(25:25))-1,10))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(26:26))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(26:26))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(26:26))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(26:26))-1,3))","v":"Learning services"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(26:26))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(26:26))-1,4))","v":"Independent learners"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(26:26))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(26:26))-1,5))","v":"Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(26:26))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(26:26))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(26:26))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(26:26))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(26:26))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(26:26))-1,9))","v":"Christie, M., et al. (2006). \"Valuing the diversity of biodiversity.\" Ecological Economics 58(2): 304-317.\n\nChristie, M., et al. (2011). Economic Valuation of the Benefits of Ecosystem Services delivered by the UK Biodiversity Action Plan, Report to Defra, London."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(26:26))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(26:26))-1,10))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(27:27))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(27:27))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(27:27))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(27:27))-1,3))","v":"Mental health"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(27:27))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(27:27))-1,4))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(27:27))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(27:27))-1,5))","v":"Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(27:27))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(27:27))-1,6))","v":"Other inputs into mental health including physical health, lifestyle (employment, income, stress), open space, water quality, nutrition etc.\nAge"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(27:27))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(27:27))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(27:27))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(27:27))-1,9))","v":"Christie, M., et al. (2006). \"Valuing the diversity of biodiversity.\" Ecological Economics 58(2): 304-317.\n\nChristie, M., et al. (2011). Economic Valuation of the Benefits of Ecosystem Services delivered by the UK Biodiversity Action Plan, Report to Defra, London."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(27:27))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(27:27))-1,10))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(28:28))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(28:28))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(28:28))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(28:28))-1,3))","v":"Mental health"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(28:28))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(28:28))-1,4))","v":"Health care providers"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(28:28))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(28:28))-1,5))","v":"Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(28:28))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(28:28))-1,6))","v":"Other inputs into mental health including physical health, lifestyle (employment, income, stress), open space, water quality, nutrition etc.\nAge"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(28:28))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(28:28))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(28:28))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(28:28))-1,9))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(28:28))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(28:28))-1,10))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(29:29))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(29:29))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(29:29))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(29:29))-1,3))","v":"Mental health"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(29:29))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(29:29))-1,4))","v":"Insurance companies"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(29:29))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(29:29))-1,5))","v":"Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(29:29))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(29:29))-1,6))","v":"Other inputs into mental health including physical health, lifestyle (employment, income, stress), open space, water quality, nutrition etc.\nAge"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(29:29))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(29:29))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(29:29))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(29:29))-1,9))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(29:29))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(29:29))-1,10))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(30:30))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(30:30))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(30:30))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(30:30))-1,3))","v":"Non-use value production"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(30:30))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(30:30))-1,4))","v":"Non users"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(30:30))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(30:30))-1,5))","v":"Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(30:30))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(30:30))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(30:30))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(30:30))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(30:30))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(30:30))-1,9))","v":"Christie, M., et al. (2006). \"Valuing the diversity of biodiversity.\" Ecological Economics 58(2): 304-317.\n\nChristie, M., et al. (2011). Economic Valuation of the Benefits of Ecosystem Services delivered by the UK Biodiversity Action Plan, Report to Defra, London.\n\nEftec (2010). The economic contribution of the Forestry Commission public forest estate in England, Final Report to Forestry Commission.\n\nEftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.\n\nEurope Economics (2015). The economic benefits of woodland, A report for the Woodland Trust, London, UK.\n\nGarrod, G. D. and K. G. Willis (1997). \"The non-use benefits of enhancing forest biodiversity: A contingent ranking study.\" Ecological Economics 21(1): 45-61.\n\nHanley, N., et al. (2002). Social & Environmental Benefits of Forestry Phase 2 : Valuing the Benefits of Biodiversity in Forests, Report to Forestry Commission, Edinburgh.\n\nHorne, P., et al. (2005). \"Multiple-use management of forest recreation sites: a spatially explicit choice experiment.\" Forest Ecology and Management 207(1-2): 189-199.\n\nLindhjem, H., et al. (2014). \"The social benefits and costs of preserving forest biodiversity and ecosystem services.\" Journal of Environmental Economics and Policy 4(2): 202-222.\n\nMacmillan, D. C. and E. I. Duff (1998). \"Estimating the non-market costs and benefits of native woodland restoration using the contingent valuation method.\" Forestry 71(3): 247-259.\n\nMorris, J. and M. Camino (2011). \"Economic Assessment of Freshwater, Wetland and Floodplain (FWF) Ecosystem Services \" UK NEA Economics Analysis, Freshwaters.\n\nQuine, C. P., et al. (2011). UK National Ecosystem Assessment, Chapter 8: Woodlands, UNEP-WCMC, Cambridge.\n\nRegeneris Consulting (2009). The Economic Contribution of The Mersey Forest's Objective One-Funded Investments A Final Report by Regeneris Consulting, Cheshire, UK.\n\nTinch, R., et al. (2009). Economic valuation of uplands ecosystem services, A Natural England Commissioned Report NECR029.\n\nWillis, K. G. and G. D. Garrod (1998). \"Biodiversity values for alternative management regimes in remote UK coniferous forests: an iterative bidding polychotomous choice approach.\" Environmentalist 18(3): 157-166."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(30:30))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(30:30))-1,10))","v":"Moons, E. (2002). Cost- benefit analysis of the location of new forest land, Energy, Transport and Environment Working Papers Series.\n\nMoons, E., et al. (2008). \"Optimal location of new forests in a suburban region.\" Journal of Forest Economics 14(1): 5-27."}]
[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(31:31))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(31:31))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(31:31))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(31:31))-1,3))","v":"Non-use value production"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(31:31))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(31:31))-1,4))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(31:31))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(31:31))-1,5))","v":"Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(31:31))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(31:31))-1,6))","v":"Species increase in Southern Scandinavia\nForest in Poland\nSouth-West Spain"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(31:31))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(31:31))-1,7))","v":"Choice experiment\ncontingent valuation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(31:31))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(31:31))-1,9))","v":"Bakhtiaria, F.,  Jacobsen, F.B., Thorsen, B.J., Lundhede, T.H., Strange,N., Boman, M. (2018). Disentangling Distance and Country Effects on the Value of Conservation across National Borders. Ecological Economics 147: 11-20\n\nBartczak, A. (2015). The role of social and environmental attitudes in non-market valuation. An application to the Białowieża Forest. Forest Policy and Economics 50 (2015) 357–365\n\nCzajkowski, M., Wiktor Budzi nski, Danny Campbell,  Marek Giergiczny, Nick Hanley (2017). Spatial Heterogeneity ofWillingness to Pay for Forest Management. Environ Resource Econ (2017) 68:705–727\n\nOjea, E., Loureiro, M.L., Allo' M., Barrio, M. (2016). Ecosystem Services and REDD: Estimating the Benefits of Non-Carbon Services in Worldwide Forests. World Development 78: 246–261\n\nOviedo, J.L., Alejandro Caparrós (2015). Information and visual attention in contingent valuation and choice modeling: field and eye-tracking experiments applied to reforestations in Spain. Journal of Forest Economics 21: 185-204.\n\nPechanec, V., Machar, I., Sterbova, L., Prokopova, M., Kilianova, H., Chobot, K., Cudlin, P. (2017). Monetary Valuation of Natural Forest Habitats in Protected Areas. Forests, 8, 427\n\nRambonilaza,T., Brahic, E. (2016). Non-market values of forest biodiversity and the impact of informing the general public: Insights from generalized multinomial logit estimations. Environmental Science & Policy 64: 93-100 \n\nValasiuk, S., Mikołaj Czajkowski, Marek Giergiczny, Tomasz Zylicz, Knut Veisten, Marine Elbakidze, Per Angelstam (2017). Are bilateral conservation policies for the Białowieza forest\nunattainable? Analysis of stated preferences of Polish and Belarusian public. Journal of Forest Economics 27: 70-79\n\nVALASIUK, S., MIKOŁAJ CZAJKOWSKI, MAREK GIERGICZNY, TOMASZ ŻYLICZ, KNUT VEISTEN, ASKILL HARKJERR HALSE, IRATXE LANDA MATA, MARINE ELBA KIDZE, PER ANGELSTAM (2017). IS FOREST LANDSCAPE RESTORATION SOCIALLY DESIRABLE? A DISCRETE CHOICE  EXPERIMENT APPLIED TO THE SCANDINAVIAN TRANSBOUNDARY FULUFJÄLLET NATIONAL PARK AREA. Working Paper\nNo. 10/2017 (239), University of Warsaw\n\nVarela, E., Jette Bredahl Jacobsen, Robert Mavsar (2017). Social demand for multiple beneﬁts provided by Aleppo pine forest management in Catalonia, Spain. Reg Environ Change 17:539-550"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(31:31))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(31:31))-1,10))","v":0}]
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[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(36:36))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(36:36))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(36:36))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(36:36))-1,3))","v":"Physical health"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(36:36))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(36:36))-1,4))","v":"Insurance companies"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(36:36))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(36:36))-1,5))","v":"Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(36:36))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(36:36))-1,6))","v":"Other inputs into health including lifestyle, illnesses, open space, water quality, nutrition etc."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(36:36))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(36:36))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(36:36))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(36:36))-1,9))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(36:36))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(36:36))-1,10))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(37:37))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(37:37))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(37:37))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(37:37))-1,3))","v":"Plant health"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(37:37))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(37:37))-1,4))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(37:37))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(37:37))-1,5))","v":"Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(37:37))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(37:37))-1,6))","v":"Myrthle conservation in Iran\nForest pathogens' control in US\ninvasive species control in  the UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(37:37))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(37:37))-1,7))","v":"Contingent valuation\nChoice experiment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(37:37))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(37:37))-1,9))","v":"Meldrum, J.R. (2015). Comparing different attitude statements in latent class models of stated preferences for managing an invasive forest pathogen. Ecological Economics 120: 13-22.\n\nSheremet, O., John R. Healey, Christopher P. Quine and Nick Hanley (2017). Public Preferences and Willingness to Pay for Forest Disease Control in the UK. Journal of Agricultural Economics 68(3), 781-800"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(37:37))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(37:37))-1,10))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(38:38))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(38:38))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(38:38))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(38:38))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(38:38))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(38:38))-1,4))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(38:38))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(38:38))-1,5))","v":"Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(38:38))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(38:38))-1,6))","v":"Forest in Malaysia\nForest in Southern Scandinavia\nForest Poland\nForest in Denmark\nForests in the US"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(38:38))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(38:38))-1,7))","v":"Contingent valuation\nChoice experiment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(38:38))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(38:38))-1,9))","v":"Abdullah, M., Mamat, M.P., Yaacob,  M.P.,  Radam, A., Fui, L.H. (2015). Estimate the conservation value of biodiversity in national heritage site: A case of Forest Research Institute Malaysia. Procedia Environmental Sciences 30 ( 2015 ) 180 – 185\n\nBartczak, A. (2015). The role of social and environmental attitudes in non-market valuation. An application to the Białowieża Forest. Forest Policy and Economics 50 (2015) 357–365\n\nHäyhä, T., Franzese, P., Paletto, A., Fath, B.D. (2015). Assessing, valuing, and mapping ecosystem services in Alpine forests. Ecosystem Services 14: 12-23.\n\nElberg Nielsen, A.S.  Thomas Hedemark Lundhede, Jette Bredahl Jacobsen (2016). Local consequences of national policie - A spatial analysis of preferences for forest access reduction. Forest Policy and Economics 73 (2016) 68–77\n\nVarela, E., Jette Bredahl Jacobsen, Robert Mavsar (2017). Social demand for multiple beneﬁts provided by Aleppo pine forest management in Catalonia, Spain. Reg Environ Change 17:539-550"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(38:38))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(38:38))-1,10))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(39:39))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(39:39))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(39:39))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(39:39))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(39:39))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(39:39))-1,4))","v":"Recreational users"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(39:39))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(39:39))-1,5))","v":"Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(39:39))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(39:39))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(39:39))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(39:39))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(39:39))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(39:39))-1,9))","v":"Abildtrup, J., et al. (2014). \"Combining RP and SP data while accounting for large choice sets and travel mode – an application to forest recreation.\" Journal of Environmental Economics and Policy 4(2): 177-201.\n\nBateman, I. J., et al. (1996). \"Household Willingness to Pay and Farmers' Willingness to Accept Compensation for Establishing a Recreational Woodland.\" Journal of Environmental Planning and Management 39(1): 21-43.\n\nBateman, I. J., et al. (1999). \"Developing a methodology for benefit transfers using geographical information systems: Modelling demand for woodland recreation.\" Regional Studies 33(3): 191-205.\n\nBennett, R., et al. (1995). \"The Value of Footpath Provision in the Countryside: A Case-study of Public Access to Urban-fringe Woodland.\" Journal of Environmental Planning and Management 38(3): 409-418.\n\nBishop, K. (1992). \"Assessing the benefits of community forests: an evaluation of the recreational use benefits of two urban fringe woodlands.\" Journal of Environmental Planning and Management 35(1): 63-76.\n\nBullock, C., et al. (2014). \"Realising the ecosystem-service value of native woodland in Ireland.\" New Zealand Journal of Forestry Science 44(Suppl 1): S4.\n\nChristie, M., et al. (2006). Valuing forest recreation activities: Final Phase 2 Report.\n\nChristie, M., et al. (2006). \"Valuing the diversity of biodiversity.\" Ecological Economics 58(2): 304-317.\n\nChristie, M., et al. (2011). Economic Valuation of the Benefits of Ecosystem Services delivered by the UK Biodiversity Action Plan, Report to Defra, London.\n\nEftec (2010). The economic contribution of the Forestry Commission public forest estate in England, Final Report to Forestry Commission.\n\nEftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.\n\nEurope Economics (2015). The economic benefits of woodland, A report for the Woodland Trust, London, UK.\n\nHorne, P., et al. (2005). \"Multiple-use management of forest recreation sites: a spatially explicit choice experiment.\" Forest Ecology and Management 207(1-2): 189-199.\n\nMacmillan, D. C. and E. I. Duff (1998). \"Estimating the non-market costs and benefits of native woodland restoration using the contingent valuation method.\" Forestry 71(3): 247-259.\n\nQuine, C. P., et al. (2011). UK National Ecosystem Assessment, Chapter 8: Woodlands, UNEP-WCMC, Cambridge.\n\nScarpa, R. (2003). Social & Environmental Benefits of Forestry Phase 2 : The Recreation Value of Woodlands, Report to Forestry Commission, Edinburgh.\n\nSen, A., et al. (2014). \"Economic Assessment of the Recreational Value of Ecosystems: Methodological Development and National and Local Application.\" Environmental & Resource Economics 57(2): 233-249.\n\nTermansen, M., et al. (2013). \"Modelling and mapping spatial heterogeneity in forest recreation services.\" Ecological Economics 92: 48-57.\n\nTinch, R., et al. (2009). Economic valuation of uplands ecosystem services, A Natural England Commissioned Report NECR029.\n\nValatin, G. and J. Starling (2010). UK NEA Economic Analysis Report: Valuation of ecosystem services provided by UK woodlands UNEP-WCMC, Cambridge.\n\nVerkerk, P. J., et al. (2014). \"Assessing impacts of intensified biomass production and biodiversity protection on ecosystem services provided by European forests.\" Ecosystem Services 9: 155-165.\n\nWillis, K. G. and G. D. Garrod (1991). \"An Individual Travel-Cost Method of Evaluating Forest Recreation.\" Journal of Agricultural Economics 42(1): 33-42."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(39:39))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(39:39))-1,10))","v":"Moons, E. (2002). Cost- benefit analysis of the location of new forest land, Energy, Transport and Environment Working Papers Series.\n\nMoons, E., et al. (2008). \"Optimal location of new forests in a suburban region.\" Journal of Forest Economics 14(1): 5-27.\n\nSmailes, P. J. and D. L. Smith (2001). \"The growing recreational use of state forest lands in the Adelaide hills.\" Land Use Policy 18(2): 137-152.\n\nTyrväinen, L. (2001). \"Economic valuation of urban forest benefits in Finland.\" Journal of Environmental Management 62(1): 75-92.\n\nTyrväinen, L. and H. Väänänen (1998). \"The economic value of urban forest amenities: an application of the contingent valuation method.\" Landscape and Urban Planning 43(1–3): 105-118."}]
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[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(55:55))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(55:55))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(55:55))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(55:55))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(55:55))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(55:55))-1,4))","v":"Recreational users"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(55:55))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(55:55))-1,5))","v":"Area, visibility, quality (habitat, condition, composition)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(55:55))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(55:55))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(55:55))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(55:55))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(55:55))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(55:55))-1,9))","v":"Abildtrup, J., et al. (2014). \"Combining RP and SP data while accounting for large choice sets and travel mode – an application to forest recreation.\" Journal of Environmental Economics and Policy 4(2): 177-201.\n\nAgimass, F., Lundhede, T., Panduro, T.E., Bredahl Jacobsen, J. (in press). The choice of forest site for recreation: A revealed preference analysis using spatial data. Ecosystem Services \n\nBateman, I. J., et al. (1996). \"Household Willingness to Pay and Farmers' Willingness to Accept Compensation for Establishing a Recreational Woodland.\" Journal of Environmental Planning and Management 39(1): 21-43.\n\nBateman, I. J., et al. (1999). \"Developing a methodology for benefit transfers using geographical information systems: Modelling demand for woodland recreation.\" Regional Studies 33(3): 191-205.\n\nBateman, I. J., et al. (2014). UK National Ecosystem Assessment Follow-on. Work Package Report 3: Economic value of ecosystem services. UNEP-WCMC, LWEC, UK.\n\nBennett, R., et al. (1995). \"The Value of Footpath Provision in the Countryside: A Case-study of Public Access to Urban-fringe Woodland.\" Journal of Environmental Planning and Management 38(3): 409-418.\n\nBishop, K. (1992). \"Assessing the benefits of community forests: an evaluation of the recreational use benefits of two urban fringe woodlands.\" Journal of Environmental Planning and Management 35(1): 63-76.\n\nBullock, C., et al. (2014). \"Realising the ecosystem-service value of native woodland in Ireland.\" New Zealand Journal of Forestry Science 44(Suppl 1): S4.\n\nBullock, C. H. and J. Kay (1997). \"Preservation and Change in the Upland Landscape: The Public Benefits of Grazing Management.\" Journal of Environmental Planning and Management 40(3): 315-334.\n\nChristie, M., et al. (2006). Valuing forest recreation activities: Final Phase 2 Report.\n\nDay, B. and Smith, G. (2018) The ORVal Recreation Demand Model: Extension Project, Land Environment, Economics and Policy Institute (LEEP), University of Exeter.\n\nEftec (2010). The economic contribution of the Forestry Commission public forest estate in England, Final Report to Forestry Commission.\n\nEftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.\n\nEurope Economics (2015). The economic benefits of woodland, A report for the Woodland Trust, London, UK.\n\nForest Enterprise England (2016). Natural capital accounts 2015-16. \n\nGiergiczny, M., Czajkowski, M., Żylicz, T.,  Angelstam, P. (2015). Choice experiment assessment of public preferences for forest structural attributes. Ecological Economics 119: 8-23.\n\nHolt, A. and Rouquette, J. (2017). The quantification and valuation of the environmental, social and economic impacts of the Forest of Marston Vale. Report prepared for: The Forest of Marston Vale, March 2017\n\nJones, A., et al. (2010). \"Estimating Arrival Numbers for Informal Recreation: A Geographical Approach and Case Study of British Woodlands.\" Sustainability 2(2): 684-701.\n\nJones, A. P., et al. (2003). Estimating arrival numbers and values for informal recreational use of British woodlands, Final report to the Forestry Commission.\n\nLovett, A. A., et al. (1997). \"Improving benefit transfer demand functions: A GIS approach.\" Journal of Environmental Management 51(4): 373-389.\n\nQuine, C. P., et al. (2011). UK National Ecosystem Assessment, Chapter 8: Woodlands, UNEP-WCMC, Cambridge.\n\nRegeneris Consulting (2009). The Economic Contribution of The Mersey Forest's Objective One-Funded Investments A Final Report by Regeneris Consulting, Cheshire, UK.\n\nScarpa, R. (2003). Social & Environmental Benefits of Forestry Phase 2 : The Recreation Value of Woodlands, Report to Forestry Commission, Edinburgh.\n\nSen, A., et al. (2014). \"Economic Assessment of the Recreational Value of Ecosystems: Methodological Development and National and Local Application.\" Environmental & Resource Economics 57(2): 233-249.\n\nTermansen, M., et al. (2013). \"Modelling and mapping spatial heterogeneity in forest recreation services.\" Ecological Economics 92: 48-57.\n\nTinch, R., et al. (2009). Economic valuation of uplands ecosystem services, A Natural England Commissioned Report NECR029.\n\nVerkerk, P. J., et al. (2014). \"Assessing impacts of intensified biomass production and biodiversity protection on ecosystem services provided by European forests.\" Ecosystem Services 9: 155-165.\n\nWillis, K. G. and G. D. Garrod (1991). \"An Individual Travel-Cost Method of Evaluating Forest Recreation.\" Journal of Agricultural Economics 42(1): 33-42."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(55:55))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(55:55))-1,10))","v":"Anthon, S. (2003). The value of urban afforestation: A hedonic pricing case. Recent Accomplishments in Applied Forest Economics Research. F. Helles, N. Strange and L. Wichmann, Springer Netherlands. 74: 81-90.\n\nBolund, P. and S. Hunhammar (1999). \"Ecosystem services in urban areas.\" Ecological Economics 29(2): 293-301.\n\nCalleja, A., Diaz-Balteiro, L., Iglesias-Merchan, C., Soliño, M. (2017). Acoustic and economic valuation of soundscape: An application to the\n‘Retiro’ Urban Forest Park. Urban Forestry and Urban Greening 27: 272-278 \n\nLupp, G., Förster, B., Kantelberg, V., Markmann, T.,Naumann, J., Honert, C., Koch, M., Pauleit, S. (2016). Assessing the Recreation Value of Urban Woodland Using the Ecosystem Service Approach in Two Forests in the Munich Metropolitan Region. Sustainability 2016, 8, 1156\n\nSmailes, P. J. and D. L. Smith (2001). \"The growing recreational use of state forest lands in the Adelaide hills.\" Land Use Policy 18(2): 137-152.\n\nTyrväinen, L. (2001). \"Economic valuation of urban forest benefits in Finland.\" Journal of Environmental Management 62(1): 75-92.\n\nTyrväinen, L. and H. Väänänen (1998). \"The economic value of urban forest amenities: an application of the contingent valuation method.\" Landscape and Urban Planning 43(1–3): 105-118."}]
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[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(61:61))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(61:61))-1,2))","v":"Soil"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(61:61))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(61:61))-1,3))","v":"Food - subsistence"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(61:61))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(61:61))-1,4))","v":"Non timber forest product extractors"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(61:61))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(61:61))-1,5))","v":"soil compaction, soil moisture content, soil ph, species presence/abundance, microbial activity, biomass"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(61:61))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(61:61))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(61:61))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(61:61))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(61:61))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(61:61))-1,9))","v":"Schaafsma, M., et al. (2014). \"The importance of local forest benefits: Economic valuation of Non-Timber Forest Products in the Eastern Arc Mountains in Tanzania.\" Global Environmental Change-Human and Policy Dimensions 24: 295-305.\n\nSchaafsma, M., et al. (2012). \"Towards transferable functions for extraction of Non-timber Forest Products: A case study on charcoal production in Tanzania.\" Ecological Economics 80: 48-62."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(61:61))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(61:61))-1,10))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(62:62))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(62:62))-1,2))","v":"Soil"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(62:62))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(62:62))-1,3))","v":"Housing services"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(62:62))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(62:62))-1,4))","v":"Residential property owners"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(62:62))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(62:62))-1,5))","v":"soil compaction, soil moisture content, soil ph, species presence/abundance, microbial activity, biomass"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(62:62))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(62:62))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(62:62))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(62:62))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(62:62))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(62:62))-1,9))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(62:62))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(62:62))-1,10))","v":"Tyrvainen, L. (1997). \"The amenity value of the urban forest: An application of the hedonic pricing method.\" Landscape and Urban Planning 37(3-4): 211-222.\n\nTyrväinen, L. and A. Miettinen (2000). \"Property Prices and Urban Forest Amenities.\" Journal of Environmental Economics and Management 39(2): 205-223."}]
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[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(67:67))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(67:67))-1,2))","v":"Soil"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(67:67))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(67:67))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(67:67))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(67:67))-1,4))","v":"Recreational users"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(67:67))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(67:67))-1,5))","v":"soil compaction, soil moisture content, soil ph, species presence/abundance, microbial activity, biomass"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(67:67))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(67:67))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(67:67))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(67:67))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(67:67))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(67:67))-1,9))","v":"Bateman, I. J., et al. (1996). \"Household Willingness to Pay and Farmers' Willingness to Accept Compensation for Establishing a Recreational Woodland.\" Journal of Environmental Planning and Management 39(1): 21-43.\n\nBateman, I. J., et al. (1999). \"Developing a methodology for benefit transfers using geographical information systems: Modelling demand for woodland recreation.\" Regional Studies 33(3): 191-205.\n\nBishop, K. (1992). \"Assessing the benefits of community forests: an evaluation of the recreational use benefits of two urban fringe woodlands.\" Journal of Environmental Planning and Management 35(1): 63-76.\n\nChristie, M., et al. (2006). Valuing forest recreation activities: Final Phase 2 Report.\n\nEftec (2010). The economic contribution of the Forestry Commission public forest estate in England, Final Report to Forestry Commission.\n\nEftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.\n\nEurope Economics (2015). The economic benefits of woodland, A report for the Woodland Trust, London, UK.\n\nScarpa, R. (2003). Social & Environmental Benefits of Forestry Phase 2 : The Recreation Value of Woodlands, Report to Forestry Commission, Edinburgh.\n\nSen, A., et al. (2014). \"Economic Assessment of the Recreational Value of Ecosystems: Methodological Development and National and Local Application.\" Environmental & Resource Economics 57(2): 233-249.\n\nTermansen, M., et al. (2013). \"Modelling and mapping spatial heterogeneity in forest recreation services.\" Ecological Economics 92: 48-57.\n\nTinch, R., et al. (2009). Economic valuation of uplands ecosystem services, A Natural England Commissioned Report NECR029.\n\nVerkerk, P. J., et al. (2014). \"Assessing impacts of intensified biomass production and biodiversity protection on ecosystem services provided by European forests.\" Ecosystem Services 9: 155-165.\n\nWillis, K. G. and G. D. Garrod (1991). \"An Individual Travel-Cost Method of Evaluating Forest Recreation.\" Journal of Agricultural Economics 42(1): 33-42."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(67:67))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(67:67))-1,10))","v":"Smailes, P. J. and D. L. Smith (2001). \"The growing recreational use of state forest lands in the Adelaide hills.\" Land Use Policy 18(2): 137-152.\n\nTyrväinen, L. (2001). \"Economic valuation of urban forest benefits in Finland.\" Journal of Environmental Management 62(1): 75-92.\n\nTyrväinen, L. and H. Väänänen (1998). \"The economic value of urban forest amenities: an application of the contingent valuation method.\" Landscape and Urban Planning 43(1–3): 105-118."}]
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[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(78:78))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(78:78))-1,2))","v":"Sound_Scent"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(78:78))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(78:78))-1,3))","v":"Non-use value production"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(78:78))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(78:78))-1,4))","v":"Non users"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(78:78))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(78:78))-1,5))","v":"Decibels, odour unit per cubic meter, concentration of odour, ability to differentiate between smells, odour quality"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(78:78))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(78:78))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(78:78))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(78:78))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(78:78))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(78:78))-1,9))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(78:78))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(78:78))-1,10))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(79:79))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(79:79))-1,2))","v":"Sound_Scent"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(79:79))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(79:79))-1,3))","v":"Physical health"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(79:79))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(79:79))-1,4))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(79:79))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(79:79))-1,5))","v":"Decibels, odour unit per cubic meter, concentration of odour, ability to differentiate between smells, odour quality"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(79:79))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(79:79))-1,6))","v":"Other inputs into health including lifestyle, illnesses, open space, water quality, nutrition etc."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(79:79))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(79:79))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(79:79))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(79:79))-1,9))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(79:79))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(79:79))-1,10))","v":0}]
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[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(82:82))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(82:82))-1,2))","v":"Sound_Scent"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(82:82))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(82:82))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(82:82))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(82:82))-1,4))","v":"Recreational users"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(82:82))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(82:82))-1,5))","v":"Decibels, odour unit per cubic meter, concentration of odour, ability to differentiate between smells, odour quality"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(82:82))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(82:82))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(82:82))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(82:82))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(82:82))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(82:82))-1,9))","v":"Abildtrup, J., et al. (2014). \"Combining RP and SP data while accounting for large choice sets and travel mode – an application to forest recreation.\" Journal of Environmental Economics and Policy 4(2): 177-201.\n\nBateman, I. J., et al. (1996). \"Household Willingness to Pay and Farmers' Willingness to Accept Compensation for Establishing a Recreational Woodland.\" Journal of Environmental Planning and Management 39(1): 21-43.\n\nBateman, I. J., et al. (1999). \"Developing a methodology for benefit transfers using geographical information systems: Modelling demand for woodland recreation.\" Regional Studies 33(3): 191-205.\n\nBennett, R., et al. (1995). \"The Value of Footpath Provision in the Countryside: A Case-study of Public Access to Urban-fringe Woodland.\" Journal of Environmental Planning and Management 38(3): 409-418.\n\nBishop, K. (1992). \"Assessing the benefits of community forests: an evaluation of the recreational use benefits of two urban fringe woodlands.\" Journal of Environmental Planning and Management 35(1): 63-76.\n\nChristie, M., et al. (2006). Valuing forest recreation activities: Final Phase 2 Report.\n\nEftec (2010). The economic contribution of the Forestry Commission public forest estate in England, Final Report to Forestry Commission.\n\nEftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.\n\nEurope Economics (2015). The economic benefits of woodland, A report for the Woodland Trust, London, UK.\n\nScarpa, R. (2003). Social & Environmental Benefits of Forestry Phase 2 : The Recreation Value of Woodlands, Report to Forestry Commission, Edinburgh.\n\nSen, A., et al. (2014). \"Economic Assessment of the Recreational Value of Ecosystems: Methodological Development and National and Local Application.\" Environmental & Resource Economics 57(2): 233-249.\n\nTermansen, M., et al. (2013). \"Modelling and mapping spatial heterogeneity in forest recreation services.\" Ecological Economics 92: 48-57.\n\nTinch, R., et al. (2009). Economic valuation of uplands ecosystem services, A Natural England Commissioned Report NECR029.\n\nVerkerk, P. J., et al. (2014). \"Assessing impacts of intensified biomass production and biodiversity protection on ecosystem services provided by European forests.\" Ecosystem Services 9: 155-165.\n\nWillis, K. G. and G. D. Garrod (1991). \"An Individual Travel-Cost Method of Evaluating Forest Recreation.\" Journal of Agricultural Economics 42(1): 33-42."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(82:82))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(82:82))-1,10))","v":"Smailes, P. J. and D. L. Smith (2001). \"The growing recreational use of state forest lands in the Adelaide hills.\" Land Use Policy 18(2): 137-152.\n\nTyrväinen, L. (2001). \"Economic valuation of urban forest benefits in Finland.\" Journal of Environmental Management 62(1): 75-92.\n\nTyrväinen, L. and H. Väänänen (1998). \"The economic value of urban forest amenities: an application of the contingent valuation method.\" Landscape and Urban Planning 43(1–3): 105-118."}]
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[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(85:85))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(85:85))-1,2))","v":"Timber"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(85:85))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(85:85))-1,3))","v":"Artistic production"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(85:85))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(85:85))-1,4))","v":"Artists"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(85:85))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(85:85))-1,5))","v":"Volume m3 , quality of timber (grade, diameter), species, canopy density"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(85:85))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(85:85))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(85:85))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(85:85))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(85:85))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(85:85))-1,9))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(85:85))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(85:85))-1,10))","v":0}]
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[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(88:88))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(88:88))-1,2))","v":"Timber"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(88:88))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(88:88))-1,3))","v":"Food - subsistence"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(88:88))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(88:88))-1,4))","v":"Non timber forest product extractors"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(88:88))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(88:88))-1,5))","v":"Volume m3 , quality of timber (grade, diameter), species, canopy density"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(88:88))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(88:88))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(88:88))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(88:88))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(88:88))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(88:88))-1,9))","v":"Quine, C. P., et al. (2011). UK National Ecosystem Assessment, Chapter 8: Woodlands, UNEP-WCMC, Cambridge.\n\nSchaafsma, M., et al. (2014). \"The importance of local forest benefits: Economic valuation of Non-Timber Forest Products in the Eastern Arc Mountains in Tanzania.\" Global Environmental Change-Human and Policy Dimensions 24: 295-305.\n\nSchaafsma, M., et al. (2012). \"Towards transferable functions for extraction of Non-timber Forest Products: A case study on charcoal production in Tanzania.\" Ecological Economics 80: 48-62."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(88:88))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(88:88))-1,10))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(89:89))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(89:89))-1,2))","v":"Timber"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(89:89))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(89:89))-1,3))","v":"Housing services"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(89:89))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(89:89))-1,4))","v":"Residential property owners"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(89:89))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(89:89))-1,5))","v":"Volume m3 , quality of timber (grade, diameter), species, canopy density"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(89:89))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(89:89))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(89:89))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(89:89))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(89:89))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(89:89))-1,9))","v":"Garrod, G. and K. Willis (1992). \"The amenity value of woodland in Great Britain: A comparison of economic estimates.\" Environmental and Resource Economics 2(4): 415-434."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(89:89))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(89:89))-1,10))","v":"Donovan, G. H. and D. T. Butry (2011). \"The effect of urban trees on the rental price of single-family homes in Portland, Oregon.\" Urban Forestry & Urban Greening 10(3): 163-168.\n\nDonovan, G. H. and D. T. Butry (2010). \"Trees in the city: Valuing street trees in Portland, Oregon.\" Landscape and urban planning 94(2): 77-83.\n\nTyrvainen, L. (1997). \"The amenity value of the urban forest: An application of the hedonic pricing method.\" Landscape and Urban Planning 37(3-4): 211-222.\n\nTyrväinen, L. and A. Miettinen (2000). \"Property Prices and Urban Forest Amenities.\" Journal of Environmental Economics and Management 39(2): 205-223."}]
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[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(95:95))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(95:95))-1,2))","v":"Timber"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(95:95))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(95:95))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(95:95))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(95:95))-1,4))","v":"Recreational users"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(95:95))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(95:95))-1,5))","v":"Volume m3 , quality of timber (grade, diameter), species, canopy density"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(95:95))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(95:95))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(95:95))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(95:95))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(95:95))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(95:95))-1,9))","v":"Abildtrup, J., et al. (2014). \"Combining RP and SP data while accounting for large choice sets and travel mode – an application to forest recreation.\" Journal of Environmental Economics and Policy 4(2): 177-201.\n\nBateman, I. J., et al. (1996). \"Household Willingness to Pay and Farmers' Willingness to Accept Compensation for Establishing a Recreational Woodland.\" Journal of Environmental Planning and Management 39(1): 21-43.\n\nBateman, I. J., et al. (1999). \"Developing a methodology for benefit transfers using geographical information systems: Modelling demand for woodland recreation.\" Regional Studies 33(3): 191-205.\n\nBennett, R., et al. (1995). \"The Value of Footpath Provision in the Countryside: A Case-study of Public Access to Urban-fringe Woodland.\" Journal of Environmental Planning and Management 38(3): 409-418.\n\nBishop, K. (1992). \"Assessing the benefits of community forests: an evaluation of the recreational use benefits of two urban fringe woodlands.\" Journal of Environmental Planning and Management 35(1): 63-76.\n\nChristie, M., et al. (2006). Valuing forest recreation activities: Final Phase 2 Report.\n\nEftec (2010). The economic contribution of the Forestry Commission public forest estate in England, Final Report to Forestry Commission.\n\nEftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.\n\nEurope Economics (2015). The economic benefits of woodland, A report for the Woodland Trust, London, UK.\n\nQuine, C. P., et al. (2011). UK National Ecosystem Assessment, Chapter 8: Woodlands, UNEP-WCMC, Cambridge.\n\nScarpa, R. (2003). Social & Environmental Benefits of Forestry Phase 2 : The Recreation Value of Woodlands, Report to Forestry Commission, Edinburgh.\n\nSen, A., et al. (2014). \"Economic Assessment of the Recreational Value of Ecosystems: Methodological Development and National and Local Application.\" Environmental & Resource Economics 57(2): 233-249.\n\nTermansen, M., et al. (2013). \"Modelling and mapping spatial heterogeneity in forest recreation services.\" Ecological Economics 92: 48-57.\n\nTinch, R., et al. (2009). Economic valuation of uplands ecosystem services, A Natural England Commissioned Report NECR029.\n\nVerkerk, P. J., et al. (2014). \"Assessing impacts of intensified biomass production and biodiversity protection on ecosystem services provided by European forests.\" Ecosystem Services 9: 155-165.\n\nWillis, K. G. and G. D. Garrod (1991). \"An Individual Travel-Cost Method of Evaluating Forest Recreation.\" Journal of Agricultural Economics 42(1): 33-42."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(95:95))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(95:95))-1,10))","v":"Smailes, P. J. and D. L. Smith (2001). \"The growing recreational use of state forest lands in the Adelaide hills.\" Land Use Policy 18(2): 137-152.\n\nTyrväinen, L. (2001). \"Economic valuation of urban forest benefits in Finland.\" Journal of Environmental Management 62(1): 75-92.\n\nTyrväinen, L. and H. Väänänen (1998). \"The economic value of urban forest amenities: an application of the contingent valuation method.\" Landscape and Urban Planning 43(1–3): 105-118."}]
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[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(109:109))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(109:109))-1,2))","v":"Views"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(109:109))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(109:109))-1,3))","v":"Non-use value production"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(109:109))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(109:109))-1,4))","v":"Non users"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(109:109))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(109:109))-1,5))","v":"Angle subtended (degrees)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(109:109))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(109:109))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(109:109))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(109:109))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(109:109))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(109:109))-1,9))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(109:109))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(109:109))-1,10))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(110:110))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(110:110))-1,2))","v":"Views"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(110:110))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(110:110))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(110:110))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(110:110))-1,4))","v":"Recreational users"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(110:110))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(110:110))-1,5))","v":"Angle subtended (degrees)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(110:110))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(110:110))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(110:110))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(110:110))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(110:110))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(110:110))-1,9))","v":"Abildtrup, J., et al. (2014). \"Combining RP and SP data while accounting for large choice sets and travel mode – an application to forest recreation.\" Journal of Environmental Economics and Policy 4(2): 177-201.\n\nBateman, I. J., et al. (1996). \"Household Willingness to Pay and Farmers' Willingness to Accept Compensation for Establishing a Recreational Woodland.\" Journal of Environmental Planning and Management 39(1): 21-43.\n\nBateman, I. J., et al. (1999). \"Developing a methodology for benefit transfers using geographical information systems: Modelling demand for woodland recreation.\" Regional Studies 33(3): 191-205.\n\nBennett, R., et al. (1995). \"The Value of Footpath Provision in the Countryside: A Case-study of Public Access to Urban-fringe Woodland.\" Journal of Environmental Planning and Management 38(3): 409-418.\n\nBishop, K. (1992). \"Assessing the benefits of community forests: an evaluation of the recreational use benefits of two urban fringe woodlands.\" Journal of Environmental Planning and Management 35(1): 63-76.\n\nBullock, C., et al. (2014). \"Realising the ecosystem-service value of native woodland in Ireland.\" New Zealand Journal of Forestry Science 44(Suppl 1): S4.\n\nChristie, M., et al. (2006). Valuing forest recreation activities: Final Phase 2 Report.\n\nEftec (2010). The economic contribution of the Forestry Commission public forest estate in England, Final Report to Forestry Commission.\n\nEftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.\n\nEurope Economics (2015). The economic benefits of woodland, A report for the Woodland Trust, London, UK.\n\nGarrod, G. (2002). Social & Environmental Benefits of Forestry Phase 2 : Landscape Benefits, Report to the Forestry Commission, Edinburgh.\n\nGarrod, G., et al. (2009). \"Assessing the value of forest landscapes: A choice experiment approach.\" Arboricultural Journal 32(3): 189-211.\n\nGiergiczny, M., Czajkowski, M., Żylicz, T.,  Angelstam, P. (2015). Choice experiment assessment of public preferences for forest structural attributes. Ecological Economics 119: 8-23.\n\nHäyhä, T., Franzese, P., Paletto, A., Fath, B.D. (2015). Assessing, valuing, and mapping ecosystem services in Alpine forests. Ecosystem Services 14: 12-23.\n\nHorne, P., et al. (2005). \"Multiple-use management of forest recreation sites: a spatially explicit choice experiment.\" Forest Ecology and Management 207(1-2): 189-199.\n\nMacmillan, D. C. and E. I. Duff (1998). \"Estimating the non-market costs and benefits of native woodland restoration using the contingent valuation method.\" Forestry 71(3): 247-259.\n\nMolina, J.R., Francisco Rodrıguez y Silva, Miguel Angel Herrera (2016). Integrating economic landscape valuation into Mediterranean territorial planning. Environmental Science and Policy 56: 120-128\n\nMorris, J. and M. Camino (2011). \"Economic Assessment of Freshwater, Wetland and Floodplain (FWF) Ecosystem Services \" UK NEA Economics Analysis, Freshwaters.\n\nRegeneris Consulting (2009). The Economic Contribution of The Mersey Forest's Objective One-Funded Investments A Final Report by Regeneris Consulting, Cheshire, UK.\n\nScarpa, R. (2003). Social & Environmental Benefits of Forestry Phase 2 : The Recreation Value of Woodlands, Report to Forestry Commission, Edinburgh.\n\nSen, A., et al. (2014). \"Economic Assessment of the Recreational Value of Ecosystems: Methodological Development and National and Local Application.\" Environmental & Resource Economics 57(2): 233-249.\n\nTermansen, M., et al. (2013). \"Modelling and mapping spatial heterogeneity in forest recreation services.\" Ecological Economics 92: 48-57.\n\nTinch, R., et al. (2009). Economic valuation of uplands ecosystem services, A Natural England Commissioned Report NECR029.\n\nVerkerk, P. J., et al. (2014). \"Assessing impacts of intensified biomass production and biodiversity protection on ecosystem services provided by European forests.\" Ecosystem Services 9: 155-165.\n\nWillis, K. G. and G. D. Garrod (1991). \"An Individual Travel-Cost Method of Evaluating Forest Recreation.\" Journal of Agricultural Economics 42(1): 33-42."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(110:110))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(110:110))-1,10))","v":"Smailes, P. J. and D. L. Smith (2001). \"The growing recreational use of state forest lands in the Adelaide hills.\" Land Use Policy 18(2): 137-152.\n\nTyrväinen, L. (2001). \"Economic valuation of urban forest benefits in Finland.\" Journal of Environmental Management 62(1): 75-92.\n\nTyrväinen, L. and H. Väänänen (1998). \"The economic value of urban forest amenities: an application of the contingent valuation method.\" Landscape and Urban Planning 43(1–3): 105-118."}]
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[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(113:113))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(113:113))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(113:113))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(113:113))-1,3))","v":"Artistic production"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(113:113))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(113:113))-1,4))","v":"Artists"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(113:113))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(113:113))-1,5))","v":"concentration (mg/l), clarity (turbidity), presence/absence, wfd classification, colour, odour, organic life/ ecological state"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(113:113))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(113:113))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(113:113))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(113:113))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(113:113))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(113:113))-1,9))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(113:113))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(113:113))-1,10))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(114:114))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(114:114))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(114:114))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(114:114))-1,3))","v":"Drinking water"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(114:114))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(114:114))-1,4))","v":"Water companies"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(114:114))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(114:114))-1,5))","v":"concentration (mg/l), clarity (turbidity), presence/absence, wfd classification, colour, odour, organic life/ ecological state"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(114:114))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(114:114))-1,6))","v":"Existing quality of the water\nStatutory limits (mg/l)\nAvailable technologies (capacity, cost)\nLocation\nPopulation location\nAvailability of alternatives"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(114:114))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(114:114))-1,7))","v":"Production function method\nReplacement cost method"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(114:114))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(114:114))-1,9))","v":"Abildtrup, J., S. Garcia, and A. Stenger (2013): \"The Effect of Forest Land Use on the Cost of Drinking Water Supply: A Spatial Econometric Analysis,\" Ecological Economics, 92, 126-136.\n\nADAS and Eftec (2014). The Feasibility of Valuing Woodlands’ Contribution to Regulating Water Quality and Quantity, Report to Forestry Commission, Edinburgh.\n\nEftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.\n\nEurope Economics (2015): \"The Economic Benefits of Woodland,\" A report for the Woodland Trust, London, UK. https://www.woodlandtrust.org.uk/publications/2015/03/the-economic-benefits-of-woodland/\n\nFiquepron, J., S. Garcia, and A. Stenger (2013): \"Land Use Impact on Water Quality: Valuing Forest Services in Terms of the Water Supply Sector,\" Journal of Environmental Management, 126, 113-121.\n\nHäyhä, T., Franzese, P., Paletto, A., Fath, B.D. (2015). Assessing, valuing, and mapping ecosystem services in Alpine forests. Ecosystem Services 14: 12-23.\n\nHanley, N., R. E. Wright, and B. Alvarez-Farizo (2006): \"Estimating the Economic Value of Improvements in River Ecology Using Choice Experiments: An Application to the Water Framework Directive,\" Journal of Environmental Management, 78, 183-193.\n\nMorris, J. and M. Camino (2011). \"Economic Assessment of Freshwater, Wetland and Floodplain (FWF) Ecosystem Services \" UK NEA Economics Analysis, Freshwaters.\n\nWillis, K. G. (2002): \"Social & Environmental Benefits of Forestry Phase 2: Benefits and Costs of Forests to Water Supply and Water Quality,\" Report to Forestry Commission, Edinburgh. http://www.forestry.gov.uk/pdf/water3.pdf/$FILE/water3.pdf\n\nZapata, S. D., H. M. Benavides, C. E. Carpio, and D. B. Willis (2012): \"The Economic Value of Basin Protection to Improve the Quality and Reliability of Potable Water Supply: The Case of Loja, Ecuador,\" Water Policy, 14, 1-13."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(114:114))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(114:114))-1,10))","v":"Soares, A. L., et al. (2011). \"Benefits and costs of street trees in Lisbon, Portugal.\" Urban Forestry & Urban Greening 10(2): 69-78."}]
[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(115:115))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(115:115))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(115:115))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(115:115))-1,3))","v":"Food - agriculture and fisheries"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(115:115))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(115:115))-1,4))","v":"Farmers"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(115:115))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(115:115))-1,5))","v":"concentration (mg/l), clarity (turbidity), presence/absence, wfd classification, colour, odour, organic life/ ecological state"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(115:115))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(115:115))-1,6))","v":"Location (does this water flow into fisheries, is it used for irrigation)\nAvailability of alternative clean water\nAvailability of substitutes"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(115:115))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(115:115))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(115:115))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(115:115))-1,9))","v":"Butler, J. R. A., et al. (2009). \"Evaluating an ecosystem service provided by Atlantic salmon, sea trout and other fish species in the River Spey, Scotland: The economic impact of recreational rod fisheries.\" Fisheries Research 96(2-3): 259-266.\n\nHanley, N., R. E. Wright, and B. Alvarez-Farizo (2006): \"Estimating the Economic Value of Improvements in River Ecology Using Choice Experiments: An Application to the Water Framework Directive,\" Journal of Environmental Management, 78, 183-193.\n\nLawrence, K. S., and J. Spurgeon (2007): \"Economic Evaluation of Inland Fisheries: Welfare Benefits of Inland Fisheries in England & Wales \": Environment Agency, Science Report – SC050026/SR1, Bristol, UK. \n\nMoran, D. and S. Dann (2008). \"The economic value of water use: Implications for implementing the Water Framework Directive in Scotland.\" Journal of Environmental Management 87(3): 484-496.\n\nMorris, J. and M. Camino (2011). \"Economic Assessment of Freshwater, Wetland and Floodplain (FWF) Ecosystem Services \" UK NEA Economics Analysis, Freshwaters."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(115:115))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(115:115))-1,10))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(116:116))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(116:116))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(116:116))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(116:116))-1,3))","v":"Food - commercial"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(116:116))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(116:116))-1,4))","v":"Hunter gatherers"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(116:116))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(116:116))-1,5))","v":"concentration (mg/l), clarity (turbidity), presence/absence, wfd classification, colour, odour, organic life/ ecological state"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(116:116))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(116:116))-1,6))","v":"Location  "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(116:116))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(116:116))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(116:116))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(116:116))-1,9))","v":"Morris, J. and M. Camino (2011). \"Economic Assessment of Freshwater, Wetland and Floodplain (FWF) Ecosystem Services \" UK NEA Economics Analysis, Freshwaters."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(116:116))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(116:116))-1,10))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(117:117))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(117:117))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(117:117))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(117:117))-1,3))","v":"Food - subsistence"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(117:117))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(117:117))-1,4))","v":"Non timber forest product extractors"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(117:117))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(117:117))-1,5))","v":"concentration (mg/l), clarity (turbidity), presence/absence, wfd classification, colour, odour, organic life/ ecological state"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(117:117))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(117:117))-1,6))","v":"Location (does this water flow into fisheries, is it used for irrigation)\nAvailability of substitutes"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(117:117))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(117:117))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(117:117))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(117:117))-1,9))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(117:117))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(117:117))-1,10))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(118:118))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(118:118))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(118:118))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(118:118))-1,3))","v":"Housing services"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(118:118))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(118:118))-1,4))","v":"Residential property owners"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(118:118))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(118:118))-1,5))","v":"concentration (mg/l), clarity (turbidity), presence/absence, wfd classification, colour, odour, organic life/ ecological state"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(118:118))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(118:118))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(118:118))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(118:118))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(118:118))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(118:118))-1,9))","v":"Bateman, I. J., R. Brouwer, S. Ferrini, M. Schaafsma, D. N. Barton, A. Dubgaard, B. Hasler, S. Hime, I. Liekens, S. Navrud, L. De Nocker, R. Sceponaviciute, and D. Semeniene (2011): \"Making Benefit Transfers Work: Deriving and Testing Principles for Value Transfers for Similar and Dissimilar Sites Using a Case Study of the Non-Market Benefits of Water Quality Improvements across Europe,\" Environmental & Resource Economics, 50, 365-387.\n\nLoomis, J., P. Kent, L. Strange, K. Fausch, and A. Covich (2000): \"Measuring the Total Economic Value of Restoring Ecosystem Services in an Impaired River Basin: Results from a Contingent Valuation Survey,\" Ecological Economics, 33, 103-117."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(118:118))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(118:118))-1,10))","v":"Tyrvainen, L. (1997). \"The amenity value of the urban forest: An application of the hedonic pricing method.\" Landscape and Urban Planning 37(3-4): 211-222.\n\nTyrväinen, L. and A. Miettinen (2000). \"Property Prices and Urban Forest Amenities.\" Journal of Environmental Economics and Management 39(2): 205-223."}]
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[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(126:126))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(126:126))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(126:126))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(126:126))-1,3))","v":"Non-use value production"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(126:126))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(126:126))-1,4))","v":"Non users"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(126:126))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(126:126))-1,5))","v":"concentration (mg/l), clarity (turbidity), presence/absence, wfd classification, colour, odour, organic life/ ecological state"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(126:126))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(126:126))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(126:126))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(126:126))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(126:126))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(126:126))-1,9))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(126:126))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(126:126))-1,10))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(127:127))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(127:127))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(127:127))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(127:127))-1,3))","v":"Physical health"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(127:127))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(127:127))-1,4))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(127:127))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(127:127))-1,5))","v":"concentration (mg/l), clarity (turbidity), presence/absence, wfd classification, colour, odour, organic life/ ecological state"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(127:127))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(127:127))-1,6))","v":"Other inputs into health including lifestyle, illnesses, open space, water quality, nutrition etc."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(127:127))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(127:127))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(127:127))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(127:127))-1,9))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(127:127))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(127:127))-1,10))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(128:128))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(128:128))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(128:128))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(128:128))-1,3))","v":"Physical health"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(128:128))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(128:128))-1,4))","v":"Health care providers"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(128:128))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(128:128))-1,5))","v":"concentration (mg/l), clarity (turbidity), presence/absence, wfd classification, colour, odour, organic life/ ecological state"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(128:128))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(128:128))-1,6))","v":"Other inputs into health including lifestyle, illnesses, open space, water quality, nutrition etc."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(128:128))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(128:128))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(128:128))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(128:128))-1,9))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(128:128))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(128:128))-1,10))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(129:129))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(129:129))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(129:129))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(129:129))-1,3))","v":"Physical health"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(129:129))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(129:129))-1,4))","v":"Insurance companies"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(129:129))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(129:129))-1,5))","v":"concentration (mg/l), clarity (turbidity), presence/absence, wfd classification, colour, odour, organic life/ ecological state"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(129:129))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(129:129))-1,6))","v":"Other inputs into health including lifestyle, illnesses, open space, water quality, nutrition etc."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(129:129))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(129:129))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(129:129))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(129:129))-1,9))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(129:129))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(129:129))-1,10))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(130:130))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(130:130))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(130:130))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(130:130))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(130:130))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(130:130))-1,4))","v":"Recreational users"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(130:130))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(130:130))-1,5))","v":"concentration (mg/l), clarity (turbidity), presence/absence, wfd classification, colour, odour, organic life/ ecological state"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(130:130))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(130:130))-1,6))","v":"Location\nPopulation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(130:130))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(130:130))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(130:130))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(130:130))-1,9))","v":"Abildtrup, J., et al. (2014). \"Combining RP and SP data while accounting for large choice sets and travel mode – an application to forest recreation.\" Journal of Environmental Economics and Policy 4(2): 177-201.\n\nBateman, I. J., et al. (1996). \"Household Willingness to Pay and Farmers' Willingness to Accept Compensation for Establishing a Recreational Woodland.\" Journal of Environmental Planning and Management 39(1): 21-43.\n\nBateman, I. J., et al. (1999). \"Developing a methodology for benefit transfers using geographical information systems: Modelling demand for woodland recreation.\" Regional Studies 33(3): 191-205.\n\nBishop, K. (1992). \"Assessing the benefits of community forests: an evaluation of the recreational use benefits of two urban fringe woodlands.\" Journal of Environmental Planning and Management 35(1): 63-76.\n\nChristie, M., et al. (2006). Valuing forest recreation activities: Final Phase 2 Report.\n\nEftec (2010). The economic contribution of the Forestry Commission public forest estate in England, Final Report to Forestry Commission.\n\nEftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.\n\nGreen, C. H., and S. M. Tunstall (1991): \"The Evaluation of River Water-Quality Improvements by the Contingent Valuation Method,\" Applied Economics, 23, 1135-1146.\n\nHanley, N., R. E. Wright, and B. Alvarez-Farizo (2006): \"Estimating the Economic Value of Improvements in River Ecology Using Choice Experiments: An Application to the Water Framework Directive,\" Journal of Environmental Management, 78, 183-193.\n\nJohnstone, C. and A. Markandya (2006). \"Valuing river characteristics using combined site choice and participation travel cost models.\" Journal of Environmental Management 80(3): 237-247.\n\nMorris, J. and M. Camino (2011). \"Economic Assessment of Freshwater, Wetland and Floodplain (FWF) Ecosystem Services \" UK NEA Economics Analysis, Freshwaters.\n\nScarpa, R. (2003). Social & Environmental Benefits of Forestry Phase 2 : The Recreation Value of Woodlands, Report to Forestry Commission, Edinburgh.\n\nSen, A., et al. (2014). \"Economic Assessment of the Recreational Value of Ecosystems: Methodological Development and National and Local Application.\" Environmental & Resource Economics 57(2): 233-249.\n\nTermansen, M., et al. (2013). \"Modelling and mapping spatial heterogeneity in forest recreation services.\" Ecological Economics 92: 48-57.\n\nTinch, R., et al. (2009). Economic valuation of uplands ecosystem services, A Natural England Commissioned Report NECR029.\n\nVerkerk, P. J., et al. (2014). \"Assessing impacts of intensified biomass production and biodiversity protection on ecosystem services provided by European forests.\" Ecosystem Services 9: 155-165.\n\nWillis, K. G. and G. D. Garrod (1991). \"An Individual Travel-Cost Method of Evaluating Forest Recreation.\" Journal of Agricultural Economics 42(1): 33-42."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(130:130))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(130:130))-1,10))","v":"Smailes, P. J. and D. L. Smith (2001). \"The growing recreational use of state forest lands in the Adelaide hills.\" Land Use Policy 18(2): 137-152.\n\nTyrväinen, L. (2001). \"Economic valuation of urban forest benefits in Finland.\" Journal of Environmental Management 62(1): 75-92.\n\nTyrväinen, L. and H. Väänänen (1998). \"The economic value of urban forest amenities: an application of the contingent valuation method.\" Landscape and Urban Planning 43(1–3): 105-118."}]
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[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(135:135))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(135:135))-1,2))","v":"Water_Quantity"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(135:135))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(135:135))-1,3))","v":"Artistic production"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(135:135))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(135:135))-1,4))","v":"Artists"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(135:135))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(135:135))-1,5))","v":"Volume m3 , flow (m/s)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(135:135))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(135:135))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(135:135))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(135:135))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(135:135))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(135:135))-1,9))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(135:135))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(135:135))-1,10))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(136:136))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(136:136))-1,2))","v":"Water_Quantity"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(136:136))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(136:136))-1,3))","v":"Drinking water"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(136:136))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(136:136))-1,4))","v":"Water companies"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(136:136))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(136:136))-1,5))","v":"Volume m3 , flow (m/s)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(136:136))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(136:136))-1,6))","v":"Existing quality of the water\nStatutory limits (mg/l)\nAvailable technologies (capacity, cost)\nLocation\nPopulation location\nAvailability of alternatives"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(136:136))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(136:136))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(136:136))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(136:136))-1,9))","v":"ADAS and Eftec (2014). The Feasibility of Valuing Woodlands’ Contribution to Regulating Water Quality and Quantity, Report to Forestry Commission, Edinburgh.\n\nEftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.\n\nMoran, D., and S. Dann (2008): \"The Economic Value of Water Use: Implications for Implementing the Water Framework Directive in Scotland,\" Journal of Environmental Management, 87, 484-496.\n\nMorris, J. and M. Camino (2011). \"Economic Assessment of Freshwater, Wetland and Floodplain (FWF) Ecosystem Services \" UK NEA Economics Analysis, Freshwaters.\n\nWillis, K. G. (2002): \"Social & Environmental Benefits of Forestry Phase 2: Benefits and Costs of Forests to Water Supply and Water Quality,\" Report to Forestry Commission, Edinburgh. http://www.forestry.gov.uk/pdf/water3.pdf/$FILE/water3.pdf\n\nZapata, S. D., H. M. Benavides, C. E. Carpio, and D. B. Willis (2012): \"The Economic Value of Basin Protection to Improve the Quality and Reliability of Potable Water Supply: The Case of Loja, Ecuador,\" Water Policy, 14, 1-13."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(136:136))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(136:136))-1,10))","v":"Glasgow - Rumble, H., K. Rogers, K. J. Doick, A. Albertini, and T. R. Hutchings (2015): \"Valuing Urban Trees in Glasgow: Assessing the Ecosystem Services of Glasgow’s Urban Forest: A Technical Report,\" Forest Research, UK. \n\nWrexham - Rumble, H., K. Rogers, K. J. Doick, and T. R. Hutchings (2014): \"Valuing Wrexham’s Urban Forest: Assessing the Ecosystem Services of Wrexham’s Urban Trees: A Technical Report,\" Forest Research, UK. http://www.forestry.gov.uk/fr/BEEH-9T8DZH \n\nBolund, P., and S. Hunhammar (1999): \"Ecosystem Services in Urban Areas,\" Ecological Economics, 29, 293-301.\n\nRogers, K., A. Jaluzot, and C. Neilan (2012): \"Green Benefits in Victoria Business Improvement District: An Analysis of the Benefits of Trees and Other Green Assets in the Victoria Business Improvement District..\" http://www.treeconomics.co.uk/wp-content/uploads/VBID.I-Tree2.pdf"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(137:137))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(137:137))-1,2))","v":"Water_Quantity"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(137:137))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(137:137))-1,3))","v":"Flood alleviation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(137:137))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(137:137))-1,4))","v":"Commercial property owners"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(137:137))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(137:137))-1,5))","v":"Volume m3 , flow (m/s)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(137:137))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(137:137))-1,6))","v":"Existing flood defences\nLocation (distance from properties)\nProbability of extreme weather events"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(137:137))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(137:137))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(137:137))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(137:137))-1,9))","v":"ADAS and Eftec (2014). The Feasibility of Valuing Woodlands’ Contribution to Regulating Water Quality and Quantity, Report to Forestry Commission, Edinburgh.\n\nBullock, C., et al. (2014). \"Realising the ecosystem-service value of native woodland in Ireland.\" New Zealand Journal of Forestry Science 44(Suppl 1): S4.\n\nEftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.\n\nEurope Economics (2015): \"The Economic Benefits of Woodland,\" A report for the Woodland Trust, London, UK. https://www.woodlandtrust.org.uk/publications/2015/03/the-economic-benefits-of-woodland/\n\nMorris, J. and M. Camino (2011). \"Economic Assessment of Freshwater, Wetland and Floodplain (FWF) Ecosystem Services \" UK NEA Economics Analysis, Freshwaters."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(137:137))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(137:137))-1,10))","v":"Glasgow - Rumble, H., K. Rogers, K. J. Doick, A. Albertini, and T. R. Hutchings (2015): \"Valuing Urban Trees in Glasgow: Assessing the Ecosystem Services of Glasgow’s Urban Forest: A Technical Report,\" Forest Research, UK. \n\nWrexham - Rumble, H., K. Rogers, K. J. Doick, and T. R. Hutchings (2014): \"Valuing Wrexham’s Urban Forest: Assessing the Ecosystem Services of Wrexham’s Urban Trees: A Technical Report,\" Forest Research, UK. http://www.forestry.gov.uk/fr/BEEH-9T8DZH \n\nBolund, P., and S. Hunhammar (1999): \"Ecosystem Services in Urban Areas,\" Ecological Economics, 29, 293-301.\n\nRogers, K., A. Jaluzot, and C. Neilan (2012): \"Green Benefits in Victoria Business Improvement District: An Analysis of the Benefits of Trees and Other Green Assets in the Victoria Business Improvement District..\" http://www.treeconomics.co.uk/wp-content/uploads/VBID.I-Tree2.pdf\n\nSoares, A. L., et al. (2011). \"Benefits and costs of street trees in Lisbon, Portugal.\" Urban Forestry & Urban Greening 10(2): 69-78."}]
[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(138:138))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(138:138))-1,2))","v":"Water_Quantity"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(138:138))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(138:138))-1,3))","v":"Flood alleviation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(138:138))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(138:138))-1,4))","v":"Insurance companies"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(138:138))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(138:138))-1,5))","v":"Volume m3 , flow (m/s)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(138:138))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(138:138))-1,6))","v":"Existing flood defences\nLocation (distance from properties)\nProbability of extreme weather events"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(138:138))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(138:138))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(138:138))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(138:138))-1,9))","v":"Bullock, C., et al. (2014). \"Realising the ecosystem-service value of native woodland in Ireland.\" New Zealand Journal of Forestry Science 44(Suppl 1): S4."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(138:138))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(138:138))-1,10))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(139:139))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(139:139))-1,2))","v":"Water_Quantity"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(139:139))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(139:139))-1,3))","v":"Flood alleviation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(139:139))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(139:139))-1,4))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(139:139))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(139:139))-1,5))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(139:139))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(139:139))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(139:139))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(139:139))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(139:139))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(139:139))-1,9))","v":"Holt, A. and Rouquette, J. (2017). The quantification and valuation of the environmental, social and economic impacts of the Forest of Marston Vale. Report prepared for:\nThe Forest of Marston Vale, March 2017"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(139:139))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(139:139))-1,10))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(140:140))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(140:140))-1,2))","v":"Water_Quantity"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(140:140))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(140:140))-1,3))","v":"Flood alleviation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(140:140))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(140:140))-1,4))","v":"Land owners"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(140:140))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(140:140))-1,5))","v":"Volume m3 , flow (m/s)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(140:140))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(140:140))-1,6))","v":"Existing flood defences\nLocation (distance from properties)\nProbability of extreme weather events"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(140:140))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(140:140))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(140:140))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(140:140))-1,9))","v":"ADAS and Eftec (2014). The Feasibility of Valuing Woodlands’ Contribution to Regulating Water Quality and Quantity, Report to Forestry Commission, Edinburgh.\n\nBullock, C., et al. (2014). \"Realising the ecosystem-service value of native woodland in Ireland.\" New Zealand Journal of Forestry Science 44(Suppl 1): S4.\n\nEftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.\n\nEurope Economics (2015): \"The Economic Benefits of Woodland,\" A report for the Woodland Trust, London, UK. https://www.woodlandtrust.org.uk/publications/2015/03/the-economic-benefits-of-woodland/\n\nMorris, J. and M. Camino (2011). \"Economic Assessment of Freshwater, Wetland and Floodplain (FWF) Ecosystem Services \" UK NEA Economics Analysis, Freshwaters."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(140:140))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(140:140))-1,10))","v":"Glasgow - Rumble, H., K. Rogers, K. J. Doick, A. Albertini, and T. R. Hutchings (2015): \"Valuing Urban Trees in Glasgow: Assessing the Ecosystem Services of Glasgow’s Urban Forest: A Technical Report,\" Forest Research, UK. \n\nWrexham - Rumble, H., K. Rogers, K. J. Doick, and T. R. Hutchings (2014): \"Valuing Wrexham’s Urban Forest: Assessing the Ecosystem Services of Wrexham’s Urban Trees: A Technical Report,\" Forest Research, UK. http://www.forestry.gov.uk/fr/BEEH-9T8DZH \n\nBolund, P., and S. Hunhammar (1999): \"Ecosystem Services in Urban Areas,\" Ecological Economics, 29, 293-301.\n\nRogers, K., A. Jaluzot, and C. Neilan (2012): \"Green Benefits in Victoria Business Improvement District: An Analysis of the Benefits of Trees and Other Green Assets in the Victoria Business Improvement District..\" http://www.treeconomics.co.uk/wp-content/uploads/VBID.I-Tree2.pdf\n\nSoares, A. L., et al. (2011). \"Benefits and costs of street trees in Lisbon, Portugal.\" Urban Forestry & Urban Greening 10(2): 69-78."}]
[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(141:141))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(141:141))-1,2))","v":"Water_Quantity"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(141:141))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(141:141))-1,3))","v":"Flood alleviation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(141:141))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(141:141))-1,4))","v":"Residential property owners"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(141:141))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(141:141))-1,5))","v":"Volume m3 , flow (m/s)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(141:141))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(141:141))-1,6))","v":"Existing flood defences\nLocation (distance from properties)\nProbability of extreme weather events"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(141:141))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(141:141))-1,7))","v":"converting quantity changes to impacts on risk of flooding/number of flood events"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(141:141))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(141:141))-1,9))","v":"ADAS and Eftec (2014). The Feasibility of Valuing Woodlands’ Contribution to Regulating Water Quality and Quantity, Report to Forestry Commission, Edinburgh.\n\nBullock, C., et al. (2014). \"Realising the ecosystem-service value of native woodland in Ireland.\" New Zealand Journal of Forestry Science 44(Suppl 1): S4.\n\nChristie, M., et al. (2011). Economic Valuation of the Benefits of Ecosystem Services delivered by the UK Biodiversity Action Plan, Report to Defra, London.\n\nEftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.\n\nEurope Economics (2015): \"The Economic Benefits of Woodland,\" A report for the Woodland Trust, London, UK. https://www.woodlandtrust.org.uk/publications/2015/03/the-economic-benefits-of-woodland/\n\nMorris, J. and M. Camino (2011). \"Economic Assessment of Freshwater, Wetland and Floodplain (FWF) Ecosystem Services \" UK NEA Economics Analysis, Freshwaters."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(141:141))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(141:141))-1,10))","v":"Glasgow - Rumble, H., K. Rogers, K. J. Doick, A. Albertini, and T. R. Hutchings (2015): \"Valuing Urban Trees in Glasgow: Assessing the Ecosystem Services of Glasgow’s Urban Forest: A Technical Report,\" Forest Research, UK. \n\nWrexham - Rumble, H., K. Rogers, K. J. Doick, and T. R. Hutchings (2014): \"Valuing Wrexham’s Urban Forest: Assessing the Ecosystem Services of Wrexham’s Urban Trees: A Technical Report,\" Forest Research, UK. http://www.forestry.gov.uk/fr/BEEH-9T8DZH \n\nBolund, P., and S. Hunhammar (1999): \"Ecosystem Services in Urban Areas,\" Ecological Economics, 29, 293-301.\n\nDixon, G. and Pettit, A. (2017). Flood management and woodland creation - Southwell Case Study. Hydraulic modelling and economic appraisal report. Report prepared for the Forestry Commission \n\nMutch et al. (2017). Understanding the value of Southampton’s urban trees. Results of the 2016 i-Tree Eco survey. University of Southampton, Forest Research, Treeconomics and Southampton City Council. Southampton. 81pp. ISBN 978-0-85432-004-2.\n\nMoffat et al. (2017). Petersfield’s trees - their importance and value. Results of the i-Tree Eco survey. Report to East Hampshire District Council, South Downs National Park Authority and Petersfield Town Council. The Petersfield Society, Petersfield.\n\nRogers, K., Doick, K., Watson, J., and Osborne, E. (2018) Valuing Ealing’s Urban Trees. Trees for Cities and Treeconomics\n\nRogers, K., A. Jaluzot, and C. Neilan (2012): \"Green Benefits in Victoria Business Improvement District: An Analysis of the Benefits of Trees and Other Green Assets in the Victoria Business Improvement District..\" http://www.treeconomics.co.uk/wp-content/uploads/VBID.I-Tree2.pdf\n\nSoares, A. L., et al. (2011). \"Benefits and costs of street trees in Lisbon, Portugal.\" Urban Forestry & Urban Greening 10(2): 69-78."}]
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[{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(151:151))-1,2)),\"End of results\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(151:151))-1,2))","v":"Water_Quantity"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(151:151))-1,3)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(151:151))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(151:151))-1,4)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(151:151))-1,4))","v":"Recreational users"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(151:151))-1,5)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(151:151))-1,5))","v":"Volume m3 , flow (m/s)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(151:151))-1,6)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(151:151))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(151:151))-1,7)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(151:151))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(151:151))-1,9)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(151:151))-1,9))","v":"Abildtrup, J., et al. (2014). \"Combining RP and SP data while accounting for large choice sets and travel mode – an application to forest recreation.\" Journal of Environmental Economics and Policy 4(2): 177-201.\n\nBateman, I. J., et al. (1996). \"Household Willingness to Pay and Farmers' Willingness to Accept Compensation for Establishing a Recreational Woodland.\" Journal of Environmental Planning and Management 39(1): 21-43.\n\nBateman, I. J., et al. (1999). \"Developing a methodology for benefit transfers using geographical information systems: Modelling demand for woodland recreation.\" Regional Studies 33(3): 191-205.\n\nBishop, K. (1992). \"Assessing the benefits of community forests: an evaluation of the recreational use benefits of two urban fringe woodlands.\" Journal of Environmental Planning and Management 35(1): 63-76.\n\nChristie, M., et al. (2006). Valuing forest recreation activities: Final Phase 2 Report.\n\nEftec (2010). The economic contribution of the Forestry Commission public forest estate in England, Final Report to Forestry Commission.\n\nEftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.\n\nMoran, D., and S. Dann (2008): \"The Economic Value of Water Use: Implications for Implementing the Water Framework Directive in Scotland,\" Journal of Environmental Management, 87, 484-496.\n\nScarpa, R. (2003). Social & Environmental Benefits of Forestry Phase 2 : The Recreation Value of Woodlands, Report to Forestry Commission, Edinburgh.\n\nSen, A., et al. (2014). \"Economic Assessment of the Recreational Value of Ecosystems: Methodological Development and National and Local Application.\" Environmental & Resource Economics 57(2): 233-249.\n\nTermansen, M., et al. (2013). \"Modelling and mapping spatial heterogeneity in forest recreation services.\" Ecological Economics 92: 48-57.\n\nTinch, R., et al. (2009). Economic valuation of uplands ecosystem services, A Natural England Commissioned Report NECR029.\n\nVerkerk, P. J., et al. (2014). \"Assessing impacts of intensified biomass production and biodiversity protection on ecosystem services provided by European forests.\" Ecosystem Services 9: 155-165.\n\nWillis, K. G. and G. D. Garrod (1991). \"An Individual Travel-Cost Method of Evaluating Forest Recreation.\" Journal of Agricultural Economics 42(1): 33-42."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(151:151))-1,10)),\"\",INDEX('Master Data 1'!$A$2:$J$156,SMALL(IF(('Master Data 1'!$A$2:$A$156)>0,ROW('Master Data 1'!$A$2:$A$156)),ROW(151:151))-1,10))","v":"Smailes, P. J. and D. L. Smith (2001). \"The growing recreational use of state forest lands in the Adelaide hills.\" Land Use Policy 18(2): 137-152.\n\nTyrväinen, L. (2001). \"Economic valuation of urban forest benefits in Finland.\" Journal of Environmental Management 62(1): 75-92.\n\nTyrväinen, L. and H. Väänänen (1998). \"The economic value of urban forest amenities: an application of the contingent valuation method.\" Landscape and Urban Planning 43(1–3): 105-118."}]
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{"sheet":"Detailed Search","index":2,"n_rows":226,"n_cols":20,"rows_kept":226,"cut":false,"hidden":false,"merged":[[1,0,1,1],[7,0,7,19],[3,2,5,4],[1,3,1,13]]}
[]
["Search Options",null,null,"Woodland Valuation Tool: Detailed Search"]
[null,"Drop down menus (click in red boxes below)"]
["Final environmental goods and services:","All","Use the drop down menus to select which final environmental goods and services, production functions and beneficiaries to view.  "]
["Production Function:","All"]
["Beneficiaries:","All"]
[]
["SEARCH RESULTS\nDETAILED LITERATURE REPORT"]
[null,null,null,null,null,null,null,null,null,"Number of results:",{"$f":"SUM('Master Data 2'!A:A)","v":218}]
[]
["Final Environmental Goods and Services","Production function","Literature","Year of publication","Notes","Good/service studied","Country","Region","Valuation method","Scale","Beneficiaries","Sample","Value currency","Values","Value unit","Value period","Value year","Payment vehicle","Characteristics (units)","Context"]
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Social & Environmental Benefits of Forestry Phase 2: Carbon Sequestration Benefits of Woodland, Report to Forestry Commission, Edinburgh."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(1:1))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(1:1))-1,5))","v":2003},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(1:1))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(1:1))-1,21))","v":"This is a major report that values carbon sequestration in existing and future GB woodlands. Various scenarios, parameter assumptions, and carbon prices mean that the study includes over 30 pages of tables of values. Two key values have been extracted and included here: value of currently sequestered carbon in GB woodlands; and value of future additional sequestration under plausible afforestation assumptions."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(1:1))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(1:1))-1,6))","v":"carbon sequestration"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(1:1))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(1:1))-1,7))","v":"GB"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(1:1))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(1:1))-1,8))","v":"England, Wales, Scotland and immediate offshore islands"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(1:1))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(1:1))-1,9))","v":"biophysical modelling of forest & soil carbon sequestration, valued using social cost of carbon estimates from the literature. GIS techniques used to link forestry information with other data\nregression techniques to predict yield classes for all forest areas"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(1:1))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(1:1))-1,10))","v":"national"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(1:1))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(1:1))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(1:1))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(1:1))-1,12))","v":"GB woodlands"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(1:1))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(1:1))-1,16))","v":"pounds"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(1:1))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(1:1))-1,13))","v":"2098000000\n1254000000"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(1:1))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(1:1))-1,14))","v":"£/ha existing woodland\ntotal value of new planting (18100 ha/yr from 2001 - 2203)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(1:1))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(1:1))-1,15))","v":"Net Present Value\nNet Present Value"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(1:1))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(1:1))-1,17))","v":2003},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(1:1))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(1:1))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(1:1))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(1:1))-1,19))","v":"tree species; soil type; yield class; propotion of forested area, stand area, rotation and current year of planting"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(1:1))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(1:1))-1,20))","v":"forest management type; social discount rate; carbon prices"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(2:2))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(2:2))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(2:2))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(2:2))-1,3))","v":"Carbon"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(2:2))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(2:2))-1,4))","v":"Brainard, J., et al. (2009). \"The social value of carbon sequestered in Great Britain's woodlands.\" Ecological Economics 68(4): 1257-1267."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(2:2))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(2:2))-1,5))","v":2009},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(2:2))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(2:2))-1,21))","v":"The very large range in values is due to different assumptions regarding: social discount rate; carbon price"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(2:2))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(2:2))-1,6))","v":"carbon sequestration in woodland"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(2:2))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(2:2))-1,7))","v":"GB"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(2:2))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(2:2))-1,8))","v":"England, Wales, Scotland and immediate offshore islands"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(2:2))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(2:2))-1,9))","v":"biophysical modelling of forest & soil carbon sequestration, valued using social cost of carbon estimates from the literature. GIS techniques used to link forestry information with other data\nregression techniques to predict yield classes for all forest areas"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(2:2))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(2:2))-1,10))","v":"national"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(2:2))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(2:2))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(2:2))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(2:2))-1,12))","v":"GB woodlands"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(2:2))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(2:2))-1,16))","v":"US dollars"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(2:2))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(2:2))-1,13))","v":"82000000 - 853000000\n154000000 - 1300000000"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(2:2))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(2:2))-1,14))","v":"total value of current forest C sequestration\ntotal value of current & future forest C sequestration"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(2:2))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(2:2))-1,15))","v":"Net Present Value\nNet Present Value"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(2:2))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(2:2))-1,17))","v":2001},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(2:2))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(2:2))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(2:2))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(2:2))-1,19))","v":"tree species; soil type; yield class; propotion of forested area, stand area, rotation and current year of planting"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(2:2))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(2:2))-1,20))","v":"forest management type; social discount rate; carbon prices"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(3:3))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(3:3))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(3:3))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(3:3))-1,3))","v":"Carbon"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(3:3))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(3:3))-1,4))","v":"Felardo, J., Lippitt, C.D. (2016). Spatial forest valuation: The role of location in determining attitudes toward payment for ecosystem services policies. Forest Policy and Economics 62: 158-167."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(3:3))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(3:3))-1,5))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(3:3))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(3:3))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(3:3))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(3:3))-1,6))","v":"Carbon sequestration "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(3:3))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(3:3))-1,7))","v":"Thailand"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(3:3))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(3:3))-1,8))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(3:3))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(3:3))-1,9))","v":"Nelson et al. (2009)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(3:3))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(3:3))-1,10))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(3:3))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(3:3))-1,11))","v":"n.a. "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(3:3))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(3:3))-1,12))","v":"n.a. 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Ecosystem Services 14: 12-23."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(5:5))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(5:5))-1,5))","v":2015},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(5:5))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(5:5))-1,21))","v":"This paper looked at different ecosystem services and provided a single value for each of them, so information was reported on the economic value of each of them separately. "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(5:5))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(5:5))-1,6))","v":"carbon sequestration"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(5:5))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(5:5))-1,7))","v":"Italy"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(5:5))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(5:5))-1,8))","v":"Trentino"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(5:5))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(5:5))-1,9))","v":"carbon emission permit price"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(5:5))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(5:5))-1,10))","v":"regional"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(5:5))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(5:5))-1,11))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(5:5))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(5:5))-1,12))","v":"n.a. "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(5:5))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(5:5))-1,16))","v":"euro"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(5:5))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(5:5))-1,13))","v":"value of carbon sequestration per ha per year: 76"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(5:5))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(5:5))-1,14))","v":"euro/ha/yr"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(5:5))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(5:5))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(5:5))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(5:5))-1,17))","v":2010},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(5:5))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(5:5))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(5:5))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(5:5))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(5:5))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(5:5))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(6:6))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(6:6))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(6:6))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(6:6))-1,3))","v":"Carbon"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(6:6))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(6:6))-1,4))","v":"Holt, A. and Rouquette, J. (2017). The quantification and valuation of the environmental, social and economic impacts of the Forest of Marston Vale. Report prepared for:\nThe Forest of Marston Vale, March 2017"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(6:6))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(6:6))-1,5))","v":2017},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(6:6))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(6:6))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(6:6))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(6:6))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(6:6))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(6:6))-1,7))","v":"England"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(6:6))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(6:6))-1,8))","v":"Marston Vale"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(6:6))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(6:6))-1,9))","v":"carbon price"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(6:6))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(6:6))-1,10))","v":"local"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(6:6))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(6:6))-1,11))","v":"General population"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(6:6))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(6:6))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(6:6))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(6:6))-1,16))","v":"£"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(6:6))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(6:6))-1,13))","v":"267 (carbon value per ha)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(6:6))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(6:6))-1,14))","v":"annual/ha of woodland created"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(6:6))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(6:6))-1,15))","v":2015},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(6:6))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(6:6))-1,17))","v":2015},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(6:6))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(6:6))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(6:6))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(6:6))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(6:6))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(6:6))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(7:7))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(7:7))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(7:7))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(7:7))-1,3))","v":"Carbon"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(7:7))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(7:7))-1,4))","v":"Masiero, M., Davide M. Pettenella, Laura Secco (2016). From failure to value: economic valuation for a selected set of products and services from Mediterranean forests. Forest Systems 25(1): 16 pages"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(7:7))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(7:7))-1,5))","v":2016},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(7:7))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(7:7))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(7:7))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(7:7))-1,6))","v":"Value of carbon"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(7:7))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(7:7))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(7:7))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(7:7))-1,8))","v":"Mediterranean region"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(7:7))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(7:7))-1,9))","v":"market prices"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(7:7))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(7:7))-1,10))","v":"multi-country"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(7:7))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(7:7))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(7:7))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(7:7))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(7:7))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(7:7))-1,16))","v":"euros"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(7:7))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(7:7))-1,13))","v":"3.51 - 12.61 euros"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(7:7))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(7:7))-1,14))","v":"euro/ha"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(7:7))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(7:7))-1,15))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(7:7))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(7:7))-1,17))","v":2010},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(7:7))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(7:7))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(7:7))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(7:7))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(7:7))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(7:7))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(8:8))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(8:8))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(8:8))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(8:8))-1,3))","v":"Carbon"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(8:8))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(8:8))-1,4))","v":"Mutch et al. (2017). Understanding the value of Southampton’s urban trees. Results of the 2016 i-Tree Eco survey. University of Southampton, Forest Research, Treeconomics and Southampton City Council. Southampton. 81pp. ISBN 978-0-85432-004-2."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(8:8))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(8:8))-1,5))","v":2017},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(8:8))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(8:8))-1,21))","v":"The values for carbon sequestration refer to the removal of 2,684 tonnes of carbon. The value of carbon storage refers to the amount of carbon currently stored in Southampton trees (100,583 tonnes of carbon in 2016) . The methos to calculate the value of carbon storage is based on the central scenario for non-traded carbon (DECC, 2015)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(8:8))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(8:8))-1,6))","v":"Carbon sequestration\nand storage"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(8:8))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(8:8))-1,7))","v":"UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(8:8))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(8:8))-1,8))","v":"Southampton "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(8:8))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(8:8))-1,9))","v":"i-Tree"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(8:8))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(8:8))-1,10))","v":"urban"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(8:8))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(8:8))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(8:8))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(8:8))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(8:8))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(8:8))-1,16))","v":"GBP"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(8:8))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(8:8))-1,13))","v":"609327 (carbon sequestration)\n23,400,000 (carbon  storage)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(8:8))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(8:8))-1,14))","v":"GBP/year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(8:8))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(8:8))-1,15))","v":2016},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(8:8))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(8:8))-1,17))","v":2016},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(8:8))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(8:8))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(8:8))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(8:8))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(8:8))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(8:8))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(9:9))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(9:9))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(9:9))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(9:9))-1,3))","v":"Carbon"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(9:9))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(9:9))-1,4))","v":"Moffat et al. (2017). Petersfield’s trees - their importance and value. Results of the i-Tree Eco survey. Report to East Hampshire District Council, South Downs National Park Authority and Petersfield Town Council. The Petersfield Society, Petersfield.\n"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(9:9))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(9:9))-1,5))","v":2017},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(9:9))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(9:9))-1,21))","v":"The values for carbon sequestration refer to the removal of 580 tonnes of carbon annually. The value of carbon storage refers to the amount of carbon currently stored in Petersfield's trees (18,260 tonnes of carbon in 2016) . The methos to calculate the value of carbon storage is based on the central scenario for non-traded carbon (DECC, 2015)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(9:9))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(9:9))-1,6))","v":"Carbon sequestration\nand storage"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(9:9))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(9:9))-1,7))","v":"UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(9:9))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(9:9))-1,8))","v":"Petersfield"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(9:9))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(9:9))-1,9))","v":"i-Tree"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(9:9))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(9:9))-1,10))","v":"urban"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(9:9))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(9:9))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(9:9))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(9:9))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(9:9))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(9:9))-1,16))","v":"GBP"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(9:9))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(9:9))-1,13))","v":"132,000 (carbon sequestration)\n4,220,000 (carbon storage)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(9:9))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(9:9))-1,14))","v":"GBP/year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(9:9))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(9:9))-1,15))","v":2016},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(9:9))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(9:9))-1,17))","v":2016},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(9:9))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(9:9))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(9:9))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(9:9))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(9:9))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(9:9))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(10:10))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(10:10))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(10:10))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(10:10))-1,3))","v":"Carbon"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(10:10))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(10:10))-1,4))","v":"Rogers, K., Doick, K., Watson, J., and Osborne, E. (2018) Valuing Ealing’s Urban Trees. Trees for Cities and Treeconomics"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(10:10))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(10:10))-1,5))","v":2018},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(10:10))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(10:10))-1,21))","v":"The values for carbon sequestration refer to the removal of 2,250 tonnes of carbon annually. The value of carbon storage refers to the amount of carbon currently stored in Ealing's trees (76,670  tonnes of carbon in 2016) . The methos to calculate the value of carbon storage is based on the central scenario for non-traded carbon (DECC, 2015)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(10:10))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(10:10))-1,6))","v":"Carbon sequestration\nand storage"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(10:10))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(10:10))-1,7))","v":"UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(10:10))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(10:10))-1,8))","v":"Ealing (London)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(10:10))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(10:10))-1,9))","v":"i-Tree"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(10:10))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(10:10))-1,10))","v":"urban"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(10:10))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(10:10))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(10:10))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(10:10))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(10:10))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(10:10))-1,16))","v":"GBP"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(10:10))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(10:10))-1,13))","v":"527,000 (carbon sequestration)\n4,890,000 (carbon storage)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(10:10))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(10:10))-1,14))","v":"GBP/year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(10:10))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(10:10))-1,15))","v":2017},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(10:10))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(10:10))-1,17))","v":2017},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(10:10))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(10:10))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(10:10))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(10:10))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(10:10))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(10:10))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(11:11))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(11:11))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(11:11))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(11:11))-1,3))","v":"Carbon"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(11:11))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(11:11))-1,4))","v":"Nowak et al. (2007) Assessing Urban Forest Effects and Values: New York's Urban Forest, USDA, Resource bulletin NRS-9"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(11:11))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(11:11))-1,5))","v":2007},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(11:11))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(11:11))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(11:11))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(11:11))-1,6))","v":"Carbon sequestration from the population of existing trees"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(11:11))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(11:11))-1,7))","v":"US"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(11:11))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(11:11))-1,8))","v":"New York"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(11:11))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(11:11))-1,9))","v":"UFORE (i-tree)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(11:11))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(11:11))-1,10))","v":"City"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(11:11))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(11:11))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(11:11))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(11:11))-1,12))","v":"191 plots"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(11:11))-1,16)),\"\",INDEX('Master Data 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2'!$A$2:$A$219)),ROW(11:11))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(11:11))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(11:11))-1,17))","v":2007},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(11:11))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(11:11))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(11:11))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(11:11))-1,19))","v":"Land-use, ground and tree cover, shrub characteristics, and individual tree attributes of species."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(11:11))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(11:11))-1,20))","v":"Specific to New York"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(12:12))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(12:12))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(12:12))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(12:12))-1,3))","v":"Carbon"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(12:12))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(12:12))-1,4))","v":"Nowak et al. (2010) Assessing Urban Forest Effects and Values: Chicago's Urban Forest, USDA, Resource bulletin NRS-37"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(12:12))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(12:12))-1,5))","v":2010},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(12:12))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(12:12))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(12:12))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(12:12))-1,6))","v":"Carbon sequestration from the population of existing trees"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(12:12))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(12:12))-1,7))","v":"US"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(12:12))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(12:12))-1,8))","v":"Chicago"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(12:12))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(12:12))-1,9))","v":"UFORE (i-tree)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 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2'!$A$2:$A$219)),ROW(12:12))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(12:12))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(12:12))-1,17))","v":2010},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(12:12))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(12:12))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(12:12))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(12:12))-1,19))","v":"species composition, tree density, tree health, leaf area, leaf and tree biomass, species diversity"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(12:12))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(12:12))-1,20))","v":"Specific to Chicago"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(13:13))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(13:13))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(13:13))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(13:13))-1,3))","v":"Carbon"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(13:13))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(13:13))-1,4))","v":"Nowak et al. (2010) Assessing Urban Forest Effects and Values: San Francisco's Urban Forest, USDA, Resource bulletin NRS-8"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(13:13))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(13:13))-1,5))","v":2007},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(13:13))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(13:13))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(13:13))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(13:13))-1,6))","v":"Carbon sequestration from the population of existing trees"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(13:13))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(13:13))-1,7))","v":"US"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(13:13))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(13:13))-1,8))","v":"San Francisco"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(13:13))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(13:13))-1,9))","v":"UFORE (i-tree)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 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2'!$A$2:$A$219)),ROW(13:13))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(13:13))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(13:13))-1,17))","v":2007},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(13:13))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(13:13))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(13:13))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(13:13))-1,19))","v":"Land-use, ground and tree cover, shrub characteristics, and individual tree attributes of species."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(13:13))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(13:13))-1,20))","v":"Specific to San Francisco"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(14:14))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(14:14))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(14:14))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(14:14))-1,3))","v":"Carbon"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(14:14))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(14:14))-1,4))","v":"Nowak et al. (2012) Assessing Urban Forest Effects and Values: Toronto’s Urban Forest, USDA Resource bulletin NRS-79"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(14:14))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(14:14))-1,5))","v":2012},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(14:14))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(14:14))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(14:14))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(14:14))-1,6))","v":"Carbon sequestration from the population of existing trees"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(14:14))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(14:14))-1,7))","v":"Canada"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(14:14))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(14:14))-1,8))","v":"Toronto"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(14:14))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(14:14))-1,9))","v":"i-tree"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(14:14))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(14:14))-1,10))","v":"City"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(14:14))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(14:14))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(14:14))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(14:14))-1,12))","v":"407 plots"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(14:14))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(14:14))-1,16))","v":"Canadian Dollar"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(14:14))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(14:14))-1,13))","v":1100000},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(14:14))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(14:14))-1,14))","v":"Total value"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(14:14))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(14:14))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(14:14))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(14:14))-1,17))","v":2012},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(14:14))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(14:14))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(14:14))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(14:14))-1,19))","v":"species composition, tree density, tree health, leaf area, leaf and tree biomass, species diversity"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(14:14))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(14:14))-1,20))","v":"Specific to Toronto"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(15:15))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(15:15))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(15:15))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(15:15))-1,3))","v":"Carbon"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(15:15))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(15:15))-1,4))","v":"Roesch-McNally, G.E., Rabotyagov, S.S. (2016).  Paying for Forest Ecosystem Services: Voluntary Versus Mandatory Payments. Environmental Management 57: 585-600."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(15:15))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(15:15))-1,5))","v":2016},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(15:15))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(15:15))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(15:15))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(15:15))-1,6))","v":"carbon sequestration"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 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2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(15:15))-1,10))","v":"regional"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(15:15))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(15:15))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(15:15))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(15:15))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(15:15))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(15:15))-1,16))","v":"$"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(15:15))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(15:15))-1,13))","v":"Mandatory payment sub-sample:\n0.7631 $/year (for 1% increase in carbon storage)\nVoluntary payment sub-sample:\n1.5440 $/year (for 1% increase in carbon storage)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(15:15))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(15:15))-1,14))","v":"$/household/year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(15:15))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(15:15))-1,15))","v":"annual"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(15:15))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(15:15))-1,17))","v":"n.a."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(15:15))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(15:15))-1,18))","v":"Annual tax (subsample mandatory payment)\nAnnual voluntary payment (Subsample voluntary payment)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(15:15))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(15:15))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(15:15))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(15:15))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(16:16))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(16:16))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(16:16))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(16:16))-1,3))","v":"Carbon"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(16:16))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(16:16))-1,4))","v":"Rumble, H., et al. (2014). Valuing Wrexham’s Urban Forest: Assessing the Ecosystem Services of Wrexham’s Urban Trees: A Technical Report, Forest Research, UK."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(16:16))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(16:16))-1,5))","v":2014},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(16:16))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(16:16))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(16:16))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(16:16))-1,6))","v":"Removed carbon from the atmosphere"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(16:16))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(16:16))-1,7))","v":"UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(16:16))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(16:16))-1,8))","v":"Wrexham"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(16:16))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(16:16))-1,9))","v":"I-tree"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 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[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(17:17))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(17:17))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(17:17))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(17:17))-1,3))","v":"Carbon"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(17:17))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(17:17))-1,4))","v":"Rumble, H., et al. (2015). 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[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(18:18))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(18:18))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(18:18))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(18:18))-1,3))","v":"Carbon"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(18:18))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(18:18))-1,4))","v":"Soares, A. L., et al. (2011). \"Benefits and costs of street trees in Lisbon, Portugal.\" Urban Forestry & Urban Greening 10(2): 69-78."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(18:18))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(18:18))-1,5))","v":2011},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(18:18))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(18:18))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(18:18))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(18:18))-1,6))","v":"$1 invested in tree 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year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(18:18))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(18:18))-1,17))","v":2004},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(18:18))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(18:18))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(18:18))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(18:18))-1,19))","v":"Species, diameter, condition, pruning and management needs etc. \nTree growth data from the US reference cities was used but Lisbon data was used as input into the numerical models to calculate tree benefits."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(18:18))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(18:18))-1,20))","v":"Location"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(19:19))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(19:19))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(19:19))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(19:19))-1,3))","v":"Carbon"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(19:19))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(19:19))-1,4))","v":"Rogers, K., Jaluzot, A., & Neilan, C. (2012). Green Benefits in Victoria Business Improvement District, Victoria Business Improvement District, London, UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(19:19))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(19:19))-1,5))","v":2012},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(19:19))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(19:19))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(19:19))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(19:19))-1,6))","v":"carbon storage, carbon sequestration, storm water attentuation, replacement cost and capital asset value of urban trees"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(19:19))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(19:19))-1,7))","v":"UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(19:19))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(19:19))-1,8))","v":"Victoria"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(19:19))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(19:19))-1,9))","v":"i-Tree eco, Green Infrastructure Valuation Toolkit and  Capital Asset Valuation for Amenity Trees "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(19:19))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(19:19))-1,10))","v":"Regional"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(19:19))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(19:19))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(19:19))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(19:19))-1,12))","v":"1225 trees"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(19:19))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(19:19))-1,16))","v":"pounds"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(19:19))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(19:19))-1,13))","v":"44895.24\n972.55\n49644\n2103276\n27245046"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(19:19))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(19:19))-1,14))","v":"aggregate value of carbon storage\naggregate value of carbon sequestration\naggregate value of storm water attenuation\nCLTA replacement cost\nCapital asset value"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(19:19))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(19:19))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(19:19))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(19:19))-1,17))","v":2011},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(19:19))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(19:19))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(19:19))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(19:19))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(19:19))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(19:19))-1,20))","v":"values computed usingi-Tree econ, Green Infrastructure Valuation Toolkit and  Capital Asset Valuation for Amenity Trees "}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(20:20))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(20:20))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(20:20))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(20:20))-1,3))","v":"Carbon"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(20:20))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(20:20))-1,4))","v":"Tol, R.S. (2013) Targets for global climate policy: An overview. Journal of Economic Dynamics and Control 37, 911-928."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(20:20))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(20:20))-1,5))","v":2013},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(20:20))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(20:20))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(20:20))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(20:20))-1,6))","v":"Social cost of carbon"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(20:20))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(20:20))-1,7))","v":"Global"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(20:20))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(20:20))-1,8))","v":"Global"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(20:20))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(20:20))-1,9))","v":"Meta-analysis"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(20:20))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(20:20))-1,10))","v":"Global"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(20:20))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(20:20))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(20:20))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(20:20))-1,12))","v":"588 estimates\n75 studies"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(20:20))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(20:20))-1,16))","v":"dollar (US)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(20:20))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(20:20))-1,13))","v":"196\n49"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(20:20))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(20:20))-1,14))","v":"per tonne of CO2"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(20:20))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 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Reprint of ‘Yes-in-my-backyard’: Spatial differences in the valuation of forest services and local co-beneﬁts for carbon markets in México. Ecological Economics 117:283-294"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(21:21))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(21:21))-1,5))","v":2015},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(21:21))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(21:21))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(21:21))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(21:21))-1,6))","v":"forest carbon services"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(21:21))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(21:21))-1,7))","v":"Mexico"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(21:21))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(21:21))-1,8))","v":"Jalisco,\nDurango,\nTamaulipas,\nMexico City"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(21:21))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(21:21))-1,9))","v":"choice experiment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(21:21))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(21:21))-1,10))","v":"regional"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(21:21))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(21:21))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(21:21))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(21:21))-1,12))","v":645},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(21:21))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(21:21))-1,16))","v":"$"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(21:21))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(21:21))-1,13))","v":"5.57 - 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[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(22:22))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(22:22))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(22:22))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(22:22))-1,3))","v":"Carbon"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(22:22))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(22:22))-1,4))","v":"van Kooten, G. C. and B. Sohngen (2007). \"Economics of forest ecosystem carbon sinks: A review.\" International Review of Environmental and Resource Economics 1(3): 237-269."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(22:22))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(22:22))-1,5))","v":2007},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(22:22))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(22:22))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(22:22))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(22:22))-1,6))","v":"Woodlands as biological sinks for carbon - 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[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(23:23))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(23:23))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(23:23))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(23:23))-1,3))","v":"Carbon"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(23:23))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(23:23))-1,4))","v":"Varela, E., Jette Bredahl Jacobsen, Robert Mavsar (2017). Social demand for multiple beneﬁts provided by Aleppo pine forest management in Catalonia, Spain. Reg Environ Change 17:539-550"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(23:23))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(23:23))-1,5))","v":2017},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(23:23))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(23:23))-1,21))","v":"Value of increase in carbon sequestration"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(23:23))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(23:23))-1,6))","v":"Aleppo pine forest values (carbon sequestration)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(23:23))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(23:23))-1,7))","v":"Spain"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(23:23))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(23:23))-1,8))","v":"Catalonia"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(23:23))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(23:23))-1,9))","v":"choice experiment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 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2'!$A$2:$A$219)),ROW(23:23))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(23:23))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(23:23))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(24:24))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(24:24))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(24:24))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(24:24))-1,3))","v":"Carbon"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(24:24))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(24:24))-1,4))","v":"Nijnik, M., et al. (2013). \"An economic analysis of the establishment of forest plantations in the United Kingdom to mitigate climatic change.\" Forest Policy and Economics 26: 34-42."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(24:24))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(24:24))-1,5))","v":2013},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(24:24))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(24:24))-1,21))","v":"No values provided.  This document discusses an analysis of carbon sequestration from new woodlands in the UK."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(24:24))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(24:24))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(24:24))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(24:24))-1,7))","v":"UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(24:24))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(24:24))-1,8))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(24:24))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(24:24))-1,9))","v":"Review & Synthesis"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(24:24))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(24:24))-1,10))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(24:24))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(24:24))-1,11))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(24:24))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(24:24))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(24:24))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(24:24))-1,16))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(24:24))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(24:24))-1,13))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(24:24))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(24:24))-1,14))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(24:24))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(24:24))-1,15))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(24:24))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(24:24))-1,17))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(24:24))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(24:24))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(24:24))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(24:24))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(24:24))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(24:24))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(25:25))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(25:25))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(25:25))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(25:25))-1,3))","v":"Carbon"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(25:25))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(25:25))-1,4))","v":"Valatin, G. (2010). Forests and carbon: valuation, discounting and risk management, Forestry Commission Research Report. Forestry Commission, Edinburgh."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(25:25))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(25:25))-1,5))","v":2010},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(25:25))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(25:25))-1,21))","v":"Not a primary valuation study. Reviews the value of carbon from trees and woodlands."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(25:25))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(25:25))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(25:25))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(25:25))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(25:25))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(25:25))-1,8))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(25:25))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(25:25))-1,9))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(25:25))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(25:25))-1,10))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(25:25))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(25:25))-1,11))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(25:25))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(25:25))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(25:25))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(25:25))-1,16))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(25:25))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(25:25))-1,13))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(25:25))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(25:25))-1,14))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(25:25))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(25:25))-1,15))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(25:25))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(25:25))-1,17))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(25:25))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(25:25))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(25:25))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(25:25))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(25:25))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(25:25))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(26:26))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(26:26))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(26:26))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(26:26))-1,3))","v":"Carbon"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(26:26))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(26:26))-1,4))","v":"Tol, R. S. (2011). The social cost of carbon. Annu. Rev. Resour. Econ., 3(1), 419-443"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(26:26))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(26:26))-1,5))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(26:26))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(26:26))-1,21))","v":"This paper provides a review of the existing literature on the social cost of carbon and provides a discussion of the key factors influencing the estimated values. "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(26:26))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(26:26))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(26:26))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(26:26))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(26:26))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(26:26))-1,8))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(26:26))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(26:26))-1,9))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(26:26))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(26:26))-1,10))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(26:26))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(26:26))-1,11))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(26:26))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(26:26))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(26:26))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(26:26))-1,16))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(26:26))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(26:26))-1,13))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(26:26))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(26:26))-1,14))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(26:26))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(26:26))-1,15))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(26:26))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(26:26))-1,17))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(26:26))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(26:26))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(26:26))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(26:26))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(26:26))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(26:26))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(27:27))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(27:27))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(27:27))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(27:27))-1,3))","v":"Carbon"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(27:27))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(27:27))-1,4))","v":"Zhang, Y., Jiancheng Chen, Mingxing Hu, Armin Offer (2016). Valuation of forest carbon sinks in China within the framework of the system of national accounts. J For Res 27(6): 1321 - 1328"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(27:27))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(27:27))-1,5))","v":2016},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(27:27))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(27:27))-1,21))","v":"Values are based on market prices/official statistics"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(27:27))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(27:27))-1,6))","v":"carbon sequestration"},{"$f":"IF(ISERROR(INDEX('Master 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[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(28:28))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(28:28))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(28:28))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(28:28))-1,3))","v":"Carbon"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(28:28))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(28:28))-1,4))","v":"Nordhaus, W. (2014). Estimates of the social cost of carbon: concepts and results from the DICE-2013R model and alternative approaches. Journal of the Association of Environmental and Resource Economists, 1(1), 273-312"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(28:28))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(28:28))-1,5))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(28:28))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(28:28))-1,21))","v":"Uses DICE 2013R model, SCC grows at 3% per year over the period to 2050"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(28:28))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 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[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(29:29))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(29:29))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(29:29))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(29:29))-1,3))","v":"Physical health"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(29:29))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(29:29))-1,4))","v":"Bolund, P. and S. Hunhammar (1999). \"Ecosystem services in urban areas.\" Ecological Economics 29(2): 293-301."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(29:29))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(29:29))-1,5))","v":1993},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(29:29))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(29:29))-1,21))","v":"This is a review & synthesis - not a primary valuation study"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(29:29))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 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[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(30:30))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(30:30))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(30:30))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(30:30))-1,3))","v":"Physical health"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(30:30))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(30:30))-1,4))","v":"Escobedo, P. J., et al. (2008). \"Analyzing the cost effectiveness of Santiago, Chile's policy of using urban forests to improve air quality.\" Journal of Environmental Management 86(1): 148-157."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(30:30))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(30:30))-1,5))","v":2008},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(30:30))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(30:30))-1,21))","v":"This is a cost effectiveness study, not a valuation study, meaning lower numbers indicate better value to society. Any value under 25000 met the cost effectiveness criteria."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(30:30))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(30:30))-1,6))","v":"reduction of air pollution in Greater Santiago Area"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(30:30))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(30:30))-1,7))","v":"Chile"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(30:30))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(30:30))-1,8))","v":"Santiago"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(30:30))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(30:30))-1,9))","v":"Cost effective analysis\nquantified PM10 removal by Santiago’s urban forests based on socioeconomic strata and using field and real-time pollution\nand climate data via a dry deposition urban forest effects model"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(30:30))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(30:30))-1,10))","v":"Urban"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(30:30))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(30:30))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(30:30))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(30:30))-1,12))","v":"200 0.04ha random, permanent, circular plots distributed (according to proportional tree cover area) among three socioeconomically determined geographic categories "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(30:30))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(30:30))-1,16))","v":"US dollars"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(30:30))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(30:30))-1,13))","v":"7861 - 11185"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(30:30))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(30:30))-1,14))","v":" cost per ton/PM10"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(30:30))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(30:30))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(30:30))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(30:30))-1,17))","v":2000},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(30:30))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(30:30))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(30:30))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(30:30))-1,19))","v":"area of trees, shrubs and grass; ambient pollutant concentration"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(30:30))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(30:30))-1,20))","v":"demographic & socioeconomic chracteristics of Santiagios comunas (self-governing municipalities with teir own mayor, council and budgets and forest management programs)\n\ncomunas divided into 3 socioeconomic strata"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(31:31))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(31:31))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(31:31))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(31:31))-1,3))","v":"Physical health"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(31:31))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(31:31))-1,4))","v":"Hutchings, T. R., V. Lawrence, and A. Brunt (2012): \"Estimating the Ecosystem Services Value of Edinburgh’s Trees \": Report by Forest Research, Forest Research UK."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(31:31))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(31:31))-1,5))","v":2012},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(31:31))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(31:31))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(31:31))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(31:31))-1,6))","v":"Urban air quality (removal of ozone, carbon monoxide, nitrogen dioxide, PM10 and sulpher dioxide"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(31:31))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(31:31))-1,7))","v":"Scotland"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(31:31))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(31:31))-1,8))","v":"Edinburgh"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(31:31))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(31:31))-1,9))","v":"i-Tree Eco model"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(31:31))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(31:31))-1,10))","v":"Urban"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(31:31))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(31:31))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(31:31))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(31:31))-1,12))","v":"survey of 200 field plots located across Edinburgh"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(31:31))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(31:31))-1,16))","v":"pounds"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(31:31))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(31:31))-1,13))","v":2300000},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(31:31))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(31:31))-1,14))","v":"total value of urban air quality improvements"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(31:31))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(31:31))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(31:31))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(31:31))-1,17))","v":2011},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(31:31))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(31:31))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(31:31))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(31:31))-1,19))","v":"species diversity, tree canopy cover, age class and leaf area, urban ground cover types, % leaf area by species, air pollution removal by urban trees, carbon stored by urban trees"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(31:31))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(31:31))-1,20))","v":"carbon prices, pollution values, urban land use type"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(32:32))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(32:32))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(32:32))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(32:32))-1,3))","v":"Physical health"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(32:32))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(32:32))-1,4))","v":"Mutch et al. (2017). Understanding the value of Southampton’s urban trees. Results of the 2016 i-Tree Eco survey. University of Southampton, Forest Research, Treeconomics and Southampton City Council. Southampton. 81pp. ISBN 978-0-85432-004-2."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(32:32))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(32:32))-1,5))","v":2017},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(32:32))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(32:32))-1,21))","v":"It is estimated that Southampton’s trees remove 90,000 kg of airborne pollutants per year, including NO2,O3, SO2, CO and PM2.5. Ozone (O3) and nitrogen dioxide (NO2) were the pollutants removed in the highest quantities. The method used to value of urban trees in terms of avoided damage costs is based on the consideration of the Social Damage Costs (SDC) in the UK (UKSDC). This method currrently includes values for PM2.5, NO2 and SO2 pollutants"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(32:32))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(32:32))-1,6))","v":"Airborne pollutants' removal"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(32:32))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(32:32))-1,7))","v":"UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(32:32))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(32:32))-1,8))","v":"Southampton "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(32:32))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(32:32))-1,9))","v":"i-Tree"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(32:32))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(32:32))-1,10))","v":"urban"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(32:32))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(32:32))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(32:32))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(32:32))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(32:32))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(32:32))-1,16))","v":"GBP"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(32:32))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(32:32))-1,13))","v":533720},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(32:32))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(32:32))-1,14))","v":"2016 value of airborne pollutants' removal"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(32:32))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(32:32))-1,15))","v":2016},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(32:32))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(32:32))-1,17))","v":2016},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(32:32))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(32:32))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(32:32))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(32:32))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(32:32))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(32:32))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(33:33))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(33:33))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(33:33))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(33:33))-1,3))","v":"Physical health"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(33:33))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(33:33))-1,4))","v":"Moffat et al. (2017). Petersfield’s trees - their importance and value. Results of the i-Tree Eco survey. Report to East Hampshire District Council, South Downs National Park Authority and Petersfield Town Council. The Petersfield Society, Petersfield.\n"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(33:33))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(33:33))-1,5))","v":2017},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(33:33))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(33:33))-1,21))","v":"It is estimated that Petersfield’s trees remove 4,4 tonnes of airborne pollutants per year, including NO2,O3, SO2, CO and PM2.5. Ozone (O3) and nitrogen dioxide (NO2) were the pollutants removed in the highest quantities. The method used to value of urban trees in terms of avoided damage costs is based on the consideration of the Social Damage Costs (SDC) in the UK (UKSDC). This method currrently includes values for PM2.5, NO2 and SO2 pollutants"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(33:33))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(33:33))-1,6))","v":"Airborne pollutants' removal"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(33:33))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(33:33))-1,7))","v":"UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(33:33))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(33:33))-1,8))","v":"Petersfield"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(33:33))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(33:33))-1,9))","v":"i-Tree"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(33:33))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(33:33))-1,10))","v":"urban"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(33:33))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(33:33))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(33:33))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(33:33))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(33:33))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(33:33))-1,16))","v":"GBP"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(33:33))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(33:33))-1,13))","v":20158},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(33:33))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(33:33))-1,14))","v":"2016 value of airborne pollutants' removal"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(33:33))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(33:33))-1,15))","v":2016},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(33:33))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(33:33))-1,17))","v":2016},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(33:33))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(33:33))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(33:33))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(33:33))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(33:33))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(33:33))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(34:34))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(34:34))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(34:34))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(34:34))-1,3))","v":"Physical health"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(34:34))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(34:34))-1,4))","v":" Rogers, K., Doick, K., Watson, J., and Osborne, E. (2018) Valuing Ealing’s Urban Trees. Trees for Cities and Treeconomics"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(34:34))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(34:34))-1,5))","v":2018},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(34:34))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(34:34))-1,21))","v":"It is estimated that Ealing’s trees remove  33 tonnes of airborne pollutants per year. The method used to value of urban trees in terms of avoided damage costs is based on the consideration of the Social Damage Costs (SDC) in the UK (UKSDC). "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(34:34))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(34:34))-1,6))","v":"Airborne pollutants' removal"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(34:34))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(34:34))-1,7))","v":"UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(34:34))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(34:34))-1,8))","v":"Ealing (London)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(34:34))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(34:34))-1,9))","v":"i-Tree"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(34:34))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(34:34))-1,10))","v":"urban"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(34:34))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(34:34))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(34:34))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(34:34))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(34:34))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(34:34))-1,16))","v":"GBP"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(34:34))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(34:34))-1,13))","v":952000},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(34:34))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(34:34))-1,14))","v":"2017 value of airborne pollutants' removal"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(34:34))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(34:34))-1,15))","v":2017},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(34:34))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(34:34))-1,17))","v":2017},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(34:34))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(34:34))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(34:34))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(34:34))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(34:34))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(34:34))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(35:35))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(35:35))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(35:35))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(35:35))-1,3))","v":"Physical health"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(35:35))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(35:35))-1,4))","v":"Nowak et al. (2007) Assessing Urban Forest Effects and Values: New York's Urban Forest, USDA, Resource bulletin NRS-9"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(35:35))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(35:35))-1,5))","v":2007},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(35:35))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(35:35))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(35:35))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(35:35))-1,6))","v":"Pollutants removed per hour by the urban forest"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(35:35))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(35:35))-1,7))","v":"US"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(35:35))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(35:35))-1,8))","v":"New York"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(35:35))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(35:35))-1,9))","v":"UFORE (i-tree)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 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attributes of species."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(35:35))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(35:35))-1,20))","v":"Specific to New York"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(36:36))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(36:36))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(36:36))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(36:36))-1,3))","v":"Physical health"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(36:36))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(36:36))-1,4))","v":"Nowak et al. (2010) Assessing Urban Forest Effects and Values: Chicago's Urban Forest, USDA, Resource bulletin NRS-37"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(36:36))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(36:36))-1,5))","v":2010},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(36:36))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(36:36))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(36:36))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(36:36))-1,6))","v":"Pollutants removed per hour by the 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[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(37:37))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(37:37))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(37:37))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(37:37))-1,3))","v":"Physical health"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(37:37))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(37:37))-1,4))","v":"Nowak et al. 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[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(38:38))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(38:38))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(38:38))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(38:38))-1,3))","v":"Physical health"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(38:38))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(38:38))-1,4))","v":"Nowak et al. 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urban forest"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(38:38))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(38:38))-1,7))","v":"Canada"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(38:38))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(38:38))-1,8))","v":"Toronto"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(38:38))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(38:38))-1,9))","v":"i-tree"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master 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year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(38:38))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(38:38))-1,17))","v":2012},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(38:38))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(38:38))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(38:38))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(38:38))-1,19))","v":"species composition, tree density, tree health, leaf area, leaf and tree biomass, species diversity"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(38:38))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(38:38))-1,20))","v":"Specific to Toronto"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(39:39))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(39:39))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(39:39))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(39:39))-1,3))","v":"Physical health"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(39:39))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(39:39))-1,4))","v":"Powe, N. A. and K. G. Willis (2002). Social & Environmental Benefits of Forestry Phase 2 : Mortality and Morbidity Benefits of Air Pollution Absorption by Woodland, Report to Forestry Commission, Edinburgh."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(39:39))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(39:39))-1,5))","v":2002},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(39:39))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(39:39))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(39:39))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(39:39))-1,6))","v":"Extending life expectancy of the population and reducing hospital admissions from pollution absorption by woodlands"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(39:39))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(39:39))-1,7))","v":"UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(39:39))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(39:39))-1,8))","v":"National"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(39:39))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(39:39))-1,9))","v":"The associated human health benefits of improvements in air quality were estimated by applying epidemiology information on the link between air pollution and deaths and hospital admissions for respiratory diseases. Values of preventable fatalities and hospital care were those adopted by the Department of Health."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(39:39))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(39:39))-1,10))","v":"National"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(39:39))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(39:39))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(39:39))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(39:39))-1,12))","v":"National Inventory of Woodland and Trees"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(39:39))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(39:39))-1,16))","v":"GBP"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(39:39))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(39:39))-1,13))","v":"17,000 - 900,000"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(39:39))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(39:39))-1,14))","v":"Total value"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(39:39))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(39:39))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(39:39))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(39:39))-1,17))","v":2002},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(39:39))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(39:39))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(39:39))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(39:39))-1,19))","v":"Reduced particulate matter PM10 and sulphur dioxide dosage."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(39:39))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(39:39))-1,20))","v":"Conducted on 1km square parcels, therefore limited data on smaller parcels of woodland and as such limted data on urban areas (where most of the UK population resides)."}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(40:40))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(40:40))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(40:40))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(40:40))-1,3))","v":"Physical health"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(40:40))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(40:40))-1,4))","v":"Rumble, H., et al. (2014). Valuing Wrexham’s Urban Forest: Assessing the Ecosystem Services of Wrexham’s Urban Trees: A Technical Report, Forest Research, UK."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(40:40))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(40:40))-1,5))","v":2014},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(40:40))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(40:40))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(40:40))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(40:40))-1,6))","v":"Pollutants removed by the urban forest"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(40:40))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(40:40))-1,7))","v":"UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(40:40))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(40:40))-1,8))","v":"Wrexham"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(40:40))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(40:40))-1,9))","v":"I-tree"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(40:40))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(40:40))-1,10))","v":"Wrexham"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(40:40))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(40:40))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(40:40))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(40:40))-1,12))","v":202},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 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2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(40:40))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(40:40))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(40:40))-1,17))","v":2014},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(40:40))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(40:40))-1,18))","v":"N/A"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(40:40))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(40:40))-1,19))","v":"Land-use, vegetation cover, number and size of trees, species."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(40:40))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(40:40))-1,20))","v":"Specific to Wrexham, including specific weather data."}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(41:41))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(41:41))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(41:41))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(41:41))-1,3))","v":"Physical health"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(41:41))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(41:41))-1,4))","v":"Rumble, H., et al. (2015). Valuing urban trees in Glasgow: Assessing the Ecosystem Services of Glasgow’s Urban Forest: A Technical Report, Forest Research, UK."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(41:41))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(41:41))-1,5))","v":2015},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(41:41))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(41:41))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(41:41))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(41:41))-1,6))","v":"Pollutants removed by the urban forest"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(41:41))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(41:41))-1,7))","v":"UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(41:41))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(41:41))-1,8))","v":"Glasgow"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(41:41))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(41:41))-1,9))","v":"I-tree"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(41:41))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(41:41))-1,10))","v":"Glasgow"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(41:41))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(41:41))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(41:41))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(41:41))-1,12))","v":200},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 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2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(41:41))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(41:41))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(41:41))-1,17))","v":2015},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(41:41))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(41:41))-1,18))","v":"N/A"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(41:41))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(41:41))-1,19))","v":"Land-use, vegetation cover, number and size of trees, species."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(41:41))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(41:41))-1,20))","v":"Specific to Glasgow, including specific weather data."}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(42:42))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(42:42))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(42:42))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(42:42))-1,3))","v":"Physical health"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(42:42))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(42:42))-1,4))","v":"Soares, A. L., et al. (2011). \"Benefits and costs of street trees in Lisbon, Portugal.\" Urban Forestry & Urban Greening 10(2): 69-78."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(42:42))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(42:42))-1,5))","v":2011},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(42:42))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(42:42))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(42:42))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(42:42))-1,6))","v":"$1 invested in tree management"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(42:42))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(42:42))-1,7))","v":"Portugal"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(42:42))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(42:42))-1,8))","v":"Lisbon"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(42:42))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(42:42))-1,9))","v":"i-Tree"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(42:42))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(42:42))-1,10))","v":"City"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(42:42))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(42:42))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(42:42))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(42:42))-1,12))","v":"3033 trees"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(42:42))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(42:42))-1,16))","v":"Dollars (US)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(42:42))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(42:42))-1,13))","v":5.14},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(42:42))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(42:42))-1,14))","v":"per tree"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(42:42))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(42:42))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(42:42))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(42:42))-1,17))","v":2004},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(42:42))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(42:42))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(42:42))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(42:42))-1,19))","v":"Species, diameter, condition, pruning and management needs etc. \nTree growth data from the US reference cities was used but Lisbon data was used as input into the numerical models to calculate tree benefits."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(42:42))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(42:42))-1,20))","v":"Location"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(43:43))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(43:43))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(43:43))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(43:43))-1,3))","v":"Physical health"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(43:43))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(43:43))-1,4))","v":"Krupnick et al., (2002) \"Age, Health and the Willingness to Pay for\nMortality Risk Reductions: A Contingent Valuation\nSurvey of Ontario Residents\" The Journal of Risk and Uncertainty, 24:2; 161–186"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(43:43))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(43:43))-1,5))","v":2002},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(43:43))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(43:43))-1,21))","v":"willingness to pay is affected by mental health status and roughly 30 percent lower for people over 70"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(43:43))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(43:43))-1,6))","v":"Willingness to pay for reductions in mortality "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(43:43))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(43:43))-1,7))","v":"Canada"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(43:43))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(43:43))-1,8))","v":"Ontario"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(43:43))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 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(2017). Developing Estimates for\nthe Valuation of Air Pollution Removal in Ecosystem Accounts. Final report for Office of National Statistics, July 2017."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(44:44))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(44:44))-1,5))","v":2017},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(44:44))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(44:44))-1,21))","v":"Reported wilingness to pay figures refer to changes taking place in UK woodlands for 2015"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(44:44))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 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year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(45:45))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(45:45))-1,17))","v":2010},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(45:45))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(45:45))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(45:45))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(45:45))-1,19))","v":"species composition, tree density, tree health, leaf area, leaf and tree biomass, species 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[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(46:46))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(46:46))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(46:46))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(46:46))-1,3))","v":"Urban heat island"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(46:46))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(46:46))-1,4))","v":"Nowak et al. (2012) Assessing Urban Forest Effects and Values: Toronto’s Urban Forest, USDA Resource bulletin NRS-79"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(46:46))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(46:46))-1,5))","v":2012},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(46:46))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(46:46))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(46:46))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(46:46))-1,6))","v":"Residential energy savings"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(46:46))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(46:46))-1,7))","v":"Canada"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(46:46))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(46:46))-1,8))","v":"Toronto"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(46:46))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(46:46))-1,9))","v":"i-tree"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 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2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(46:46))-1,16))","v":"Canadian Dollar"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(46:46))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(46:46))-1,13))","v":9700000},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(46:46))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(46:46))-1,14))","v":"Total value"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(46:46))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(46:46))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(46:46))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(46:46))-1,17))","v":2012},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(46:46))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(46:46))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(46:46))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(46:46))-1,19))","v":"species composition, tree density, tree health, leaf area, leaf and tree biomass, species diversity"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(46:46))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(46:46))-1,20))","v":"Specific to Toronto"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(47:47))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(47:47))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(47:47))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(47:47))-1,3))","v":"Urban heat island"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(47:47))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(47:47))-1,4))","v":"Soares, A. L., et al. (2011). \"Benefits and costs of street trees in Lisbon, Portugal.\" Urban Forestry & Urban Greening 10(2): 69-78."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(47:47))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(47:47))-1,5))","v":2011},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(47:47))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(47:47))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(47:47))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(47:47))-1,6))","v":"$1 invested in tree management"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(47:47))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(47:47))-1,7))","v":"Portugal"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(47:47))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(47:47))-1,8))","v":"Lisbon"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(47:47))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(47:47))-1,9))","v":"i-Tree"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(47:47))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(47:47))-1,10))","v":"City"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(47:47))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(47:47))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(47:47))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(47:47))-1,12))","v":"3033 trees"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(47:47))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(47:47))-1,16))","v":"Dollars (US)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(47:47))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(47:47))-1,13))","v":6.16},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(47:47))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(47:47))-1,14))","v":"per tree"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(47:47))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(47:47))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(47:47))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(47:47))-1,17))","v":2004},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(47:47))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(47:47))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(47:47))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(47:47))-1,19))","v":"Species, diameter, condition, pruning and management needs etc. \nTree growth data from the US reference cities was used but Lisbon data was used as input into the numerical models to calculate tree benefits."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(47:47))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(47:47))-1,20))","v":"Location"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(48:48))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(48:48))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(48:48))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(48:48))-1,3))","v":"Urban heat island"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(48:48))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(48:48))-1,4))","v":"Konopacki, S., & Akbari, H., (2000) Energy savings calculations for urban heat island mitigation strategies in Baton Rouge, Sacramento and Salt Lake City. Proceedings of the 2000 ACEEE Summer Study on Energy Efficiency in Buildings, Vol. 9. Pacific Grove, CA, p. 215."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(48:48))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(48:48))-1,5))","v":2000},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(48:48))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(48:48))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(48:48))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(48:48))-1,6))","v":"energy savings from urban heat island mitigation"},{"$f":"IF(ISERROR(INDEX('Master Data 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[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(49:49))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(49:49))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(49:49))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(49:49))-1,3))","v":"Urban heat island"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(49:49))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(49:49))-1,4))","v":"Akbari, H. (2002). \"Shade trees reduce building energy use and CO2 emissions from power plants.\" Environmental Pollution 116: S119-S126."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(49:49))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(49:49))-1,5))","v":2002},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(49:49))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(49:49))-1,21))","v":"This is a review & synthesis - not a primary valuation study"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(49:49))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 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Brunt (2012): \"Estimating the Ecosystem Services Value of Edinburgh’s Trees \": Report by Forest Research, Forest Research UK."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(50:50))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(50:50))-1,5))","v":2012},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(50:50))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(50:50))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(50:50))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(50:50))-1,6))","v":"carbon 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2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(50:50))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(50:50))-1,15))","v":"Net Present Value\nNet Present Value"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(50:50))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(50:50))-1,17))","v":2011},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(50:50))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(50:50))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(50:50))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(50:50))-1,19))","v":"species diversity, tree canopy cover, age class and leaf area, urban ground cover types, % leaf area by species, air pollution removal by urban trees, carbon stored by urban trees"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(50:50))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(50:50))-1,20))","v":"carbon prices, pollution values, urban land use type"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(51:51))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(51:51))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(51:51))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(51:51))-1,3))","v":"Food - agriculture and fisheries"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(51:51))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(51:51))-1,4))","v":"Bateman, I. J., et al. (1996). \"Household Willingness to Pay and Farmers' Willingness to Accept Compensation for Establishing a Recreational Woodland.\" Journal of Environmental Planning and Management 39(1): 21-43."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(51:51))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(51:51))-1,5))","v":1997},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(51:51))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(51:51))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(51:51))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(51:51))-1,6))","v":"New recreational woodland facilities"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(51:51))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(51:51))-1,7))","v":"UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(51:51))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(51:51))-1,8))","v":"Oxfordshire"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(51:51))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(51:51))-1,9))","v":"Contingent valuation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(51:51))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(51:51))-1,10))","v":"Farm"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(51:51))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(51:51))-1,11))","v":"Farmers"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(51:51))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(51:51))-1,12))","v":"19 farms interviewed"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 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2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(51:51))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(51:51))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(51:51))-1,17))","v":1991},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(51:51))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(51:51))-1,18))","v":"Govt. grants and additional payments from a woodland trust"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(51:51))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(51:51))-1,19))","v":"agricultural land use before the scheme\nprofit per ha"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(51:51))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(51:51))-1,20))","v":"Farmers were made aware of the Community Woodland Scheme paying £950/ha (one time fee) and further annual grants reaching up to £250/yr for a 10 - 15 years depending on tree species "}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(52:52))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(52:52))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(52:52))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(52:52))-1,3))","v":"Food (agriculture and subsistence) "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(52:52))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(52:52))-1,4))","v":"Bullock, C. H. and J. Kay (1997). \"Preservation and Change in the Upland Landscape: The Public Benefits of Grazing Management.\" Journal of Environmental Planning and Management 40(3): 315-334."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(52:52))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(52:52))-1,5))","v":1997},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(52:52))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(52:52))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(52:52))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(52:52))-1,6))","v":"landscape improvements due to reductions in grazing pressure"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(52:52))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(52:52))-1,7))","v":"Scotland"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(52:52))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(52:52))-1,8))","v":"Central Southern Uplands of Scotland"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(52:52))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(52:52))-1,9))","v":"Contingent Valuation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(52:52))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(52:52))-1,10))","v":"regional"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(52:52))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(52:52))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(52:52))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(52:52))-1,12))","v":"1350 local residents"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(52:52))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(52:52))-1,16))","v":"pounds"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(52:52))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(52:52))-1,13))","v":32000000},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(52:52))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(52:52))-1,14))","v":"pounds per year for policies which use grazing extensification to bring about landscape improvements"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(52:52))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(52:52))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(52:52))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(52:52))-1,17))","v":1994},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(52:52))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(52:52))-1,18))","v":"national taxation; council tax; trust fund"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(52:52))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(52:52))-1,19))","v":"colour of heather; presence of wildflowers; erosion; landscape quality"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(52:52))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(52:52))-1,20))","v":"grazing intensity; socioeconomic characteristics"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(53:53))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(53:53))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(53:53))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(53:53))-1,3))","v":"Housing"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(53:53))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(53:53))-1,4))","v":"Donovan, G. H. and D. T. Butry (2010). \"Trees in the city: Valuing street trees in Portland, Oregon.\" Landscape and urban planning 94(2): 77-83."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(53:53))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(53:53))-1,5))","v":2010},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(53:53))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(53:53))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(53:53))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(53:53))-1,6))","v":"impact of street trees on house values"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(53:53))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(53:53))-1,7))","v":"USA"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(53:53))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(53:53))-1,8))","v":"Portland, Oregon"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(53:53))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(53:53))-1,9))","v":"Hedonic Pricing"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(53:53))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(53:53))-1,10))","v":"Urban"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(53:53))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(53:53))-1,11))","v":"Residential property owners"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(53:53))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(53:53))-1,12))","v":"3479 single family homes "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 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2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(53:53))-1,15))","v":"at sale"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(53:53))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(53:53))-1,17))","v":2007},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(53:53))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(53:53))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(53:53))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(53:53))-1,19))","v":"number of street trees fronting the property, diameter of tree, height of tree, tree health/appearance, tree crown area within 100ft"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(53:53))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(53:53))-1,20))","v":"distance from busy street, pavement damage, house condition. House characteristics (size, number of rooms etc)"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(54:54))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(54:54))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(54:54))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(54:54))-1,3))","v":"Housing"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(54:54))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(54:54))-1,4))","v":"Donovan, G. H. and D. T. Butry (2011). \"The effect of urban trees on the rental price of single-family homes in Portland, Oregon.\" Urban Forestry & Urban Greening 10(3): 163-168."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(54:54))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(54:54))-1,5))","v":2011},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(54:54))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(54:54))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(54:54))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(54:54))-1,6))","v":"effect of urban trees on home rental price"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(54:54))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(54:54))-1,7))","v":"USA"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(54:54))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(54:54))-1,8))","v":"Portland, Oregon"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(54:54))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(54:54))-1,9))","v":"Hedonic Pricing"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(54:54))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(54:54))-1,10))","v":"Urban"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(54:54))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(54:54))-1,11))","v":"Residential property owners"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(54:54))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(54:54))-1,12))","v":"1000 single family detached homes"},{"$f":"IF(ISERROR(INDEX('Master Data 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2'!$A$2:$A$219)),ROW(54:54))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(54:54))-1,19))","v":"number of trees on the house's lot; distance to parks; area of tree cover"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(54:54))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(54:54))-1,20))","v":"house features (number  of rooms; bathrooms size, etc)"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(55:55))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(55:55))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(55:55))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(55:55))-1,3))","v":"Housing"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(55:55))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(55:55))-1,4))","v":"Garrod, G. and K. Willis (1992). \"The amenity value of woodland in Great Britain: A comparison of economic estimates.\" Environmental and Resource Economics 2(4): 415-434."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(55:55))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(55:55))-1,5))","v":1992},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(55:55))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(55:55))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(55:55))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(55:55))-1,6))","v":"aggregate amenity value that forestry provides to households living in close proximity to FC estate"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(55:55))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(55:55))-1,7))","v":"UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(55:55))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(55:55))-1,8))","v":"1km grid square"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(55:55))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(55:55))-1,9))","v":"hedonic pricing"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(55:55))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(55:55))-1,10))","v":"national"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(55:55))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(55:55))-1,11))","v":"Residential property owners"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(55:55))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(55:55))-1,12))","v":"156226 households"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(55:55))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(55:55))-1,16))","v":"pounds"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(55:55))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(55:55))-1,13))","v":353323},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(55:55))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(55:55))-1,14))","v":"aggregate across households"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(55:55))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(55:55))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(55:55))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(55:55))-1,17))","v":1991},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(55:55))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(55:55))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(55:55))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(55:55))-1,19))","v":"Tree species; yaer of planting"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(55:55))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(55:55))-1,20))","v":"house characterisitics; household characterisitcs"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(56:56))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(56:56))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(56:56))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(56:56))-1,3))","v":"Housing services"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(56:56))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(56:56))-1,4))","v":"Perino, G., et al. (2014). \"The Value of Urban Green Space in Britain: A Methodological Framework for Spatially Referenced Benefit Transfer.\" Environmental & Resource Economics 57(2): 251-272."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(56:56))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(56:56))-1,5))","v":2014},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(56:56))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(56:56))-1,21))","v":"No values provided. A meta-analysis of valuing urban greenspace in the UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(56:56))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(56:56))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(56:56))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(56:56))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(56:56))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(56:56))-1,8))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(56:56))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(56:56))-1,9))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(56:56))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(56:56))-1,10))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(56:56))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(56:56))-1,11))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(56:56))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(56:56))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(56:56))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(56:56))-1,16))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(56:56))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(56:56))-1,13))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(56:56))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(56:56))-1,14))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(56:56))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(56:56))-1,15))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(56:56))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(56:56))-1,17))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(56:56))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(56:56))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(56:56))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(56:56))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(56:56))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(56:56))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(57:57))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(57:57))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(57:57))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(57:57))-1,3))","v":"Housing services"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(57:57))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(57:57))-1,4))","v":"Dare, A.M.,Idris Akanbi Ayinde, Adebayo Musediq Shittu, (2015) \"Urban trees forest management in Abeokuta Metropolis, Ogun State, Nigeria: An application of contingent valuation method\", Management of Environmental Quality: An International Journal, Vol. 26 Issue: 1, pp.72-83"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(57:57))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(57:57))-1,5))","v":2015},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(57:57))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(57:57))-1,21))","v":"The value is likely to embed several value components, including urban weather control, air pollution control and other services provided by urban trees.   "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(57:57))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(57:57))-1,6))","v":"value of tree management in a urban area, where the main beneficiaries are residents, enjoying the scent and scenery provided by urban green/trees"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(57:57))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(57:57))-1,7))","v":"Nigeria"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(57:57))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(57:57))-1,8))","v":"Abeokuta, south-west Nigeria"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(57:57))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(57:57))-1,9))","v":"contingent valuation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(57:57))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(57:57))-1,10))","v":"urban"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(57:57))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(57:57))-1,11))","v":"Urban populations"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(57:57))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(57:57))-1,12))","v":120},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(57:57))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(57:57))-1,16))","v":"₦ (Nigerian naira)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(57:57))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(57:57))-1,13))","v":365.69},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(57:57))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(57:57))-1,14))","v":"₦/individual/month"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(57:57))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(57:57))-1,15))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(57:57))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(57:57))-1,17))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(57:57))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(57:57))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(57:57))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(57:57))-1,19))","v":"Other variables controlled for are related to the ecosystem services provided by urban trees, including pollution control, prevention of weather extremes, other services."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(57:57))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(57:57))-1,20))","v":"Individuals' characteristics controlled for: age, sex, education, household size, occupation, income."}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(58:58))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(58:58))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(58:58))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(58:58))-1,3))","v":"Mental health"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(58:58))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(58:58))-1,4))","v":"Smith, D. M., Damschroder, S. Y. H., and Ubel, P. A., (20120)What's It Worth? Public Willingness to Pay to Avoid Mental Illnesses Compared With General Medical Illnesses, Psychiatric Services 2012 63:4, 319-324 "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(58:58))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(58:58))-1,5))","v":2012},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(58:58))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(58:58))-1,21))","v":"The payment vehicle may raise issues of credibility\nThe study is for the US and needs to be altered to transfer to UK populations\nDemographic characterstics were included in the survey and could be used to aid benefit transfer.\nDepression is broadly defined and appears open to interpretation by respondents."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(58:58))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(58:58))-1,6))","v":"Willingness to pay to avoid mental illness"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(58:58))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(58:58))-1,7))","v":"US"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(58:58))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(58:58))-1,8))","v":"National"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(58:58))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(58:58))-1,9))","v":"Stated preference "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(58:58))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(58:58))-1,10))","v":"Individual"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(58:58))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(58:58))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 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2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(58:58))-1,14))","v":"to avoid depression"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(58:58))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(58:58))-1,15))","v":"per monthly  "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(58:58))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(58:58))-1,17))","v":2006},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(58:58))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(58:58))-1,18))","v":"Out of pocket"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(58:58))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(58:58))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(58:58))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(58:58))-1,20))","v":"US"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(59:59))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(59:59))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(59:59))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(59:59))-1,3))","v":"Non-use value "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(59:59))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(59:59))-1,4))","v":"Bakhtiaria, F.,  Jacobsen, F.B., Thorsen, B.J., Lundhede, T.H., Strange,N., Boman, M. (2018). Disentangling Distance and Country Effects on the Value of Conservation across National Borders. Ecological Economics 147: 11-20"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(59:59))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(59:59))-1,5))","v":2018},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(59:59))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(59:59))-1,21))","v":"Value of increasing natural forest dynamics is assumed to be mostly associated with non-use values"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(59:59))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(59:59))-1,6))","v":"Presence of natural dynamics in the area"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(59:59))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(59:59))-1,7))","v":"Denmark\nSweden"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(59:59))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(59:59))-1,8))","v":"Funen and Zealand (Denmark)\nScania (Sweden)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(59:59))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(59:59))-1,9))","v":"choice experiment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(59:59))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(59:59))-1,10))","v":"regional"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(59:59))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(59:59))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(59:59))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(59:59))-1,12))","v":1845},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(59:59))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(59:59))-1,16))","v":"DKK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(59:59))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(59:59))-1,13))","v":"WTP for an increase in the natural dynamics (of natural decay processes) in the forest (from occasionally leaving trees to age, die and decay to leaving 15 trees/ha to age, die and decay:\n190 - for residents in Zealand\n270 - for residents in Scania"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(59:59))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(59:59))-1,14))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(59:59))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(59:59))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(59:59))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(59:59))-1,17))","v":2012},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(59:59))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(59:59))-1,18))","v":"income tax"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(59:59))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(59:59))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(59:59))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(59:59))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(60:60))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(60:60))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(60:60))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(60:60))-1,3))","v":"Non-use value production"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(60:60))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(60:60))-1,4))","v":"Borzykowski, N., Baranzini, A., Maradan, D. (2018). Scope Effects in Contingent Valuation: Does the Assumed Statistical Distribution of WTP Matter? Ecological Economics 144: 319-329"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(60:60))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(60:60))-1,5))","v":2018},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(60:60))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(60:60))-1,21))","v":"Methodological paper concerned with scope sensitivity in contingent valuation method. To test for this, the authors compare WTP for increased forest area at two different scales: national and local (city)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(60:60))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(60:60))-1,6))","v":"increase in the surface of protected\nforests, from 5% to 10% of the total forest surface"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(60:60))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(60:60))-1,7))","v":"Switzerland"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(60:60))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(60:60))-1,8))","v":"Switzerland (one split sample)\nGeneva (the other split sample)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(60:60))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(60:60))-1,9))","v":"contingent valuation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(60:60))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(60:60))-1,10))","v":"national (one split sample)\ncity (the other split sample)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(60:60))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(60:60))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(60:60))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(60:60))-1,12))","v":"228 (national split sample)\n191 (city split sample)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(60:60))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(60:60))-1,16))","v":"CHF"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(60:60))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(60:60))-1,13))","v":"276.69 - 2064.38 (depending on the parametric distribution, used i.e. whether logistic or log-normal) - national split sample\n182.34 - 334.65 (depending on the parametric distribution, used i.e. whether logistic or log-normal) - Geneva split sample"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(60:60))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(60:60))-1,14))","v":"CHF/person"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(60:60))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(60:60))-1,15))","v":"one off payment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(60:60))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(60:60))-1,17))","v":2014},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(60:60))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(60:60))-1,18))","v":"Federal or Cantonal lump-sum tax"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(60:60))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(60:60))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(60:60))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(60:60))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(61:61))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(61:61))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(61:61))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(61:61))-1,3))","v":"Non-use value production"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(61:61))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(61:61))-1,4))","v":"Ahlheim, M., Börger, T., Frör, O. (2015). Replacing rubber plantations by rain forest in Southwest China—who would gain and how much? Environ Monit Assess (2015) 187: 3"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(61:61))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(61:61))-1,5))","v":2015},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(61:61))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(61:61))-1,21))","v":"The CV question presented a scenario whereby reforestation would bring: 1) more habitat\nfor a number of rare plant and animal species; 2) better water quality in local rivers (less pesticide) and, consequently, less pesticide contamination in agricultural food products and the whole local ecosystem. Non-use value components were identified as well. However, the study did not allow to disentangle values by component. WTP values refer to the whole bundle of goods/services presented."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(61:61))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(61:61))-1,6))","v":"rain forest reforestation, replacing rubber plantations"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(61:61))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(61:61))-1,7))","v":"China"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(61:61))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(61:61))-1,8))","v":"Southwest China"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(61:61))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(61:61))-1,9))","v":"Contingent valuation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(61:61))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(61:61))-1,10))","v":"nature reserve"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(61:61))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(61:61))-1,11))","v":"Urban populations"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(61:61))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(61:61))-1,12))","v":2517},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(61:61))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(61:61))-1,16))","v":"RMB/CNY"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(61:61))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(61:61))-1,13))","v":"163.84 (mean value of reforestation)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(61:61))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(61:61))-1,14))","v":"per household"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(61:61))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(61:61))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(61:61))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(61:61))-1,17))","v":2009},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(61:61))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(61:61))-1,18))","v":"government fund"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(61:61))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(61:61))-1,19))","v":"Area was a biodiversity hotspot previous to rubber plantation and an ecologically valuable area."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(61:61))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(61:61))-1,20))","v":"Factors controlled for in the regression: respondents' income, education, marital status, children, gender, age, household size. Also: emotional care for environmental issues, concern for environmental problems, need for social aqpproval, understandinof nature as something support human well-being, life satisfaction."}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(62:62))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(62:62))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(62:62))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(62:62))-1,3))","v":"Physical health"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(62:62))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(62:62))-1,4))","v":"Holt, A. and Rouquette, J. (2017). The quantification and valuation of the environmental, social and economic impacts of the Forest of Marston Vale. Report prepared for:\nThe Forest of Marston Vale, March 2017"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(62:62))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(62:62))-1,5))","v":2017},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(62:62))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(62:62))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(62:62))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(62:62))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(62:62))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(62:62))-1,7))","v":"England"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(62:62))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(62:62))-1,8))","v":"Marston Vale"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(62:62))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(62:62))-1,9))","v":"QUALY"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(62:62))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(62:62))-1,10))","v":"local"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(62:62))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(62:62))-1,11))","v":"Recreational users"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(62:62))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(62:62))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(62:62))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(62:62))-1,16))","v":"£"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(62:62))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(62:62))-1,13))","v":"£20,000 (value of the cost savings to the NHS from the appropriate level fo physical activity resulting from active visits at the Forest of Marston Vale)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(62:62))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(62:62))-1,14))","v":"Annual value (£)/QALY "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(62:62))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(62:62))-1,15))","v":2015},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(62:62))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(62:62))-1,17))","v":2015},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(62:62))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(62:62))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(62:62))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(62:62))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(62:62))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(62:62))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(63:63))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(63:63))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(63:63))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(63:63))-1,3))","v":"Physical health"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(63:63))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(63:63))-1,4))","v":"Krupnick et al., (2002) \"Age, Health and the Willingness to Pay for\nMortality Risk Reductions: A Contingent Valuation\nSurvey of Ontario Residents\" The Journal of Risk and Uncertainty, 24:2; 161–186"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(63:63))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(63:63))-1,5))","v":2002},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(63:63))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(63:63))-1,21))","v":"willingness to pay is affected by mental health status and roughly 30 percent lower for people over 70"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(63:63))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(63:63))-1,6))","v":"Willingness to pay for reductions in mortality "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(63:63))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(63:63))-1,7))","v":"Canada"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(63:63))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(63:63))-1,8))","v":"Ontario"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(63:63))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(63:63))-1,9))","v":"Contingent valuation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(63:63))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(63:63))-1,10))","v":"Individual"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(63:63))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(63:63))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(63:63))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(63:63))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(63:63))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(63:63))-1,16))","v":"Dollars (Canadian)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(63:63))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(63:63))-1,13))","v":"C$l.2 to C$3.8 million "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(63:63))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(63:63))-1,14))","v":"mean wtp value of statistical life"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(63:63))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(63:63))-1,15))","v":"one off payment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(63:63))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(63:63))-1,17))","v":1999},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(63:63))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(63:63))-1,18))","v":"out of pocket payment for an environmental program "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(63:63))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(63:63))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(63:63))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(63:63))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(64:64))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(64:64))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(64:64))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(64:64))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(64:64))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(64:64))-1,4))","v":"Agimass, F., Lundhede, T., Panduro, T.E., Bredahl Jacobsen, J. (in press). The choice of forest site for recreation: A revealed preference analysis using spatial data. Ecosystem Services "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(64:64))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(64:64))-1,5))","v":2017},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(64:64))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(64:64))-1,21))","v":"No values (WTP) presented in this study"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(64:64))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(64:64))-1,6))","v":"forest recreational value"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(64:64))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(64:64))-1,7))","v":"Denmark"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(64:64))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(64:64))-1,8))","v":"n.a. "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(64:64))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(64:64))-1,9))","v":"Travel Cost method"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(64:64))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(64:64))-1,10))","v":"national"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(64:64))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(64:64))-1,11))","v":"Recreational users"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(64:64))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(64:64))-1,12))","v":481},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(64:64))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(64:64))-1,16))","v":"n.a."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(64:64))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(64:64))-1,13))","v":"n.a."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(64:64))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(64:64))-1,14))","v":"n.a."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(64:64))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(64:64))-1,15))","v":"n.a."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(64:64))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(64:64))-1,17))","v":2015},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(64:64))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(64:64))-1,18))","v":"travel cost"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(64:64))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(64:64))-1,19))","v":"Variables of the forest controlled for: Forest area, forest area form (shape), forest density, species composition, other nature features (lakes or wetlands closeby), historical sites, terrein differences, state forest, distance"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(64:64))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(64:64))-1,20))","v":"Other individual-specific variables have been controlled for: age of respondent, mode of transport, purpose of visit"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(65:65))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(65:65))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(65:65))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(65:65))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(65:65))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(65:65))-1,4))","v":"Calleja, A., Diaz-Balteiro, L., Iglesias-Merchan, C., Soliño, M. (2017). Acoustic and economic valuation of soundscape: An application to the\n‘Retiro’ Urban Forest Park. Urban Forestry and Urban Greening 27: 272-278 "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(65:65))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(65:65))-1,5))","v":2017},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(65:65))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(65:65))-1,21))","v":"It is not clear from the study what is the magnitude of the noise reduction achieved through the programme."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(65:65))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(65:65))-1,6))","v":"noise reduction (preferences for soundscapes)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(65:65))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(65:65))-1,7))","v":"Spain"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(65:65))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(65:65))-1,8))","v":"Madrid (Retiro Park)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(65:65))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(65:65))-1,9))","v":"contingent valuation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(65:65))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(65:65))-1,10))","v":"city"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(65:65))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(65:65))-1,11))","v":"Recreational users"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(65:65))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(65:65))-1,12))","v":191},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(65:65))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(65:65))-1,16))","v":"euros"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(65:65))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(65:65))-1,13))","v":"\n6.36 (weighted average, considering people who would and would not be willing to pay)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(65:65))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(65:65))-1,14))","v":"euro/person"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(65:65))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(65:65))-1,15))","v":"one off payment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(65:65))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(65:65))-1,17))","v":2015},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(65:65))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(65:65))-1,18))","v":"one off donation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(65:65))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(65:65))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(65:65))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(65:65))-1,20))","v":"Socio-demographic variables of the visitors accounted for: education, children, income, gender "}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(66:66))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(66:66))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(66:66))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(66:66))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(66:66))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(66:66))-1,4))","v":"Day, B. and Smith, G. (2018) The ORVal Recreation Demand Model: Extension Project, Land Environment, Economics and Policy Institute (LEEP), University of Exeter."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(66:66))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(66:66))-1,5))","v":2018},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(66:66))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(66:66))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(66:66))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(66:66))-1,6))","v":"Recreational value of greenspace"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(66:66))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(66:66))-1,7))","v":"UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(66:66))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(66:66))-1,8))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(66:66))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(66:66))-1,9))","v":"travel cost method"},{"$f":"IF(ISERROR(INDEX('Master Data 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Assessing the Recreation Value of Urban Woodland Using the Ecosystem Service Approach in Two Forests in the Munich Metropolitan Region. 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Social & Environmental Benefits of Forestry Phase 2 : The Recreation Value of Woodlands, Report to Forestry Commission, Edinburgh."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(68:68))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(68:68))-1,5))","v":2003},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(68:68))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(68:68))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(68:68))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(68:68))-1,6))","v":"Recreational visits to UK woodlands"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(68:68))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(68:68))-1,7))","v":"England and Wales"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(68:68))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(68:68))-1,8))","v":"National"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(68:68))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(68:68))-1,9))","v":"Contingent valuation combined with benefit transfer from historic data"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(68:68))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(68:68))-1,10))","v":"UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(68:68))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(68:68))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(68:68))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(68:68))-1,12))","v":279},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(68:68))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(68:68))-1,16))","v":"GBP"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(68:68))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(68:68))-1,13))","v":"1.66 - 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Smith (2001). \"The growing recreational use of state forest lands in the Adelaide hills.\" Land Use Policy 18(2): 137-152."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(70:70))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(70:70))-1,5))","v":2001},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(70:70))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(70:70))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(70:70))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(70:70))-1,6))","v":"Recreational 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Substitute sites available."}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(71:71))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(71:71))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(71:71))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(71:71))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(71:71))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(71:71))-1,4))","v":"Termansen, M., et al. (2013). \"Modelling and mapping spatial heterogeneity in forest recreation services.\" Ecological Economics 92: 48-57."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(71:71))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(71:71))-1,5))","v":2013},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(71:71))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(71:71))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(71:71))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 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count models of total trip demand with detailed spatial information from GIS."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(71:71))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(71:71))-1,10))","v":"National"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(71:71))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(71:71))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(71:71))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(71:71))-1,12))","v":28947},{"$f":"IF(ISERROR(INDEX('Master 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2'!$A$2:$A$219)),ROW(71:71))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(71:71))-1,15))","v":"per visit"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(71:71))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(71:71))-1,17))","v":2011},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(71:71))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(71:71))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(71:71))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(71:71))-1,19))","v":"Size of the contiguous forested area associated with each site, distance to water features, and adjacency of the forested area to other areas of semi-natural vegetation. The forest area was further classified into broadleaved forest, coniferous forest and scrub vegetation."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(71:71))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(71:71))-1,20))","v":"Location and facilities of the site"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(72:72))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(72:72))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(72:72))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(72:72))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(72:72))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(72:72))-1,4))","v":"Tyrväinen, L. (2001). \"Economic valuation of urban forest benefits in Finland.\" Journal of Environmental Management 62(1): 75-92."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(72:72))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(72:72))-1,5))","v":2001},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(72:72))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(72:72))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(72:72))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(72:72))-1,6))","v":"Willingness to pay for the use of a recreation area"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(72:72))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(72:72))-1,7))","v":"Finland"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(72:72))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(72:72))-1,8))","v":"Joensuu and Salo"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(72:72))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(72:72))-1,9))","v":"Contingent valuation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(72:72))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(72:72))-1,10))","v":"Joensuu and Salo"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(72:72))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(72:72))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(72:72))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(72:72))-1,12))","v":500},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(72:72))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(72:72))-1,16))","v":"Finnish Markka"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(72:72))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(72:72))-1,13))","v":"42 - 53\n31 - 76"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(72:72))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(72:72))-1,14))","v":"per household (Joensuu)\nper household (Salo)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(72:72))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(72:72))-1,15))","v":"per month"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(72:72))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(72:72))-1,17))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(72:72))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(72:72))-1,18))","v":"Taxes"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(72:72))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(72:72))-1,19))","v":"Type of forest (mixed, pine, coniferous), maturity of the forest."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(72:72))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(72:72))-1,20))","v":"Location and facilities at sites. Substitute sites available."}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(73:73))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(73:73))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(73:73))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(73:73))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(73:73))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(73:73))-1,4))","v":"Tyrväinen, L. (2001). \"Economic valuation of urban forest benefits in Finland.\" Journal of Environmental Management 62(1): 75-92."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(73:73))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(73:73))-1,5))","v":2001},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(73:73))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(73:73))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(73:73))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(73:73))-1,6))","v":"Willingness to pay for the use of a recreation area"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(73:73))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(73:73))-1,7))","v":"Finland"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(73:73))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(73:73))-1,8))","v":"Joensuu and Salo"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(73:73))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(73:73))-1,9))","v":"Contingent valuation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(73:73))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(73:73))-1,10))","v":"Joensuu and Salo"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(73:73))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(73:73))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(73:73))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(73:73))-1,12))","v":500},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(73:73))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(73:73))-1,16))","v":"Finnish Markka"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(73:73))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(73:73))-1,13))","v":"42 - 53\n31 - 76"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(73:73))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(73:73))-1,14))","v":"per household (Joensuu)\nper household (Salo)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(73:73))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(73:73))-1,15))","v":"per month"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(73:73))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(73:73))-1,17))","v":1998},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(73:73))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(73:73))-1,18))","v":"Taxes"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(73:73))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(73:73))-1,19))","v":"Type of forest (mixed, pine, coniferous), maturity of the forest."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(73:73))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(73:73))-1,20))","v":"Location and facilities at sites. Substitute sites available."}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(74:74))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(74:74))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(74:74))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(74:74))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(74:74))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(74:74))-1,4))","v":"Tyrväinen, L. and H. Väänänen (1998). \"The economic value of urban forest amenities: an application of the contingent valuation method.\" Landscape and Urban Planning 43(1–3): 105-118."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(74:74))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(74:74))-1,5))","v":1998},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(74:74))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(74:74))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(74:74))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(74:74))-1,6))","v":"Willingness to pay for the use of a recreation area"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(74:74))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(74:74))-1,7))","v":"Finland"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(74:74))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(74:74))-1,8))","v":"Salo"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(74:74))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(74:74))-1,9))","v":"Contingent valuation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(74:74))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(74:74))-1,10))","v":"Joensuu"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(74:74))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(74:74))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(74:74))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(74:74))-1,12))","v":500},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(74:74))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(74:74))-1,16))","v":"Finnish Markka"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(74:74))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(74:74))-1,13))","v":"108 - 141"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(74:74))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(74:74))-1,14))","v":"per household"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(74:74))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(74:74))-1,15))","v":"per season (winter season and summer season)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(74:74))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(74:74))-1,17))","v":1998},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(74:74))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(74:74))-1,18))","v":"Taxes"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(74:74))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(74:74))-1,19))","v":"Type of forest (mixed, pine, coniferous), maturity of the forest."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(74:74))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(74:74))-1,20))","v":"Location and facilities at sites. Substitute sites available."}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(75:75))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(75:75))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(75:75))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(75:75))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(75:75))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(75:75))-1,4))","v":"Zandersen, M., M. Termansen, and F. S. Jensen (2007): \"Testing Benefits Transfer of Forest Recreation Values over a Twenty-Year Time Horizon,\" Land Economics, 83, 412-440"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(75:75))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(75:75))-1,5))","v":2007},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(75:75))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(75:75))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(75:75))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(75:75))-1,6))","v":"Forest recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(75:75))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(75:75))-1,7))","v":"Denmark"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(75:75))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(75:75))-1,8))","v":"National"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(75:75))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(75:75))-1,9))","v":"Travel cost method"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(75:75))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(75:75))-1,10))","v":"National"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(75:75))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(75:75))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(75:75))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(75:75))-1,12))","v":6987},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(75:75))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(75:75))-1,16))","v":"Euros"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(75:75))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(75:75))-1,13))","v":"14,643 - 11,600,000"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(75:75))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(75:75))-1,14))","v":"based on visit numbers of 4,295 - 3,300,000 per site.\nper person"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(75:75))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(75:75))-1,15))","v":"per visit"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(75:75))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(75:75))-1,17))","v":1997},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(75:75))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(75:75))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(75:75))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(75:75))-1,19))","v":"Species (broadleaf or coniferous) and age diversity."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(75:75))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(75:75))-1,20))","v":"Location and facilities of the site"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(76:76))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(76:76))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(76:76))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(76:76))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(76:76))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(76:76))-1,4))","v":"Abildtrup, J., et al. (2014). \"Combining RP and SP data while accounting for large choice sets and travel mode – an application to forest recreation.\" Journal of Environmental Economics and Policy 4(2): 177-201."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(76:76))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(76:76))-1,5))","v":2014},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(76:76))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(76:76))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(76:76))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(76:76))-1,6))","v":"Quality (additional hiking trails) & access (converting public to privately owned forests) to forest recreation sites"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(76:76))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(76:76))-1,7))","v":"France"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(76:76))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(76:76))-1,8))","v":"Lorraine"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(76:76))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(76:76))-1,9))","v":"Travel Cost Method\nChoice Experiment\n\napply an error-component mixed-logit model to simultaneously model the travel mode decision and the site selection decision and to combine revealed and stated preference data;\n\neffect on WTP for changes in forest quality and access is evaluated based on alternative choice set\nspecifications, model specifications and data sources (revealed and stated preference\ndata)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(76:76))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(76:76))-1,10))","v":"Municipal (Sarrebourg)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(76:76))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(76:76))-1,11))","v":"Recreational users"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(76:76))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(76:76))-1,12))","v":"526 survey respondents (individuals)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(76:76))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(76:76))-1,16))","v":"euro"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(76:76))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(76:76))-1,13))","v":"value ranges in this study are delineated by travel method to access the site and sampling strategy\n\n\n0.103-0.137\n0.266-0.408\n0.421-.666\n\n\n-0.122 - -0.074\n-0.408 - -0.358\n-0.871 - -0.880"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(76:76))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(76:76))-1,14))","v":"per person\n\nNew hiking trails:\nper driver\nper cyclist\nper walker\n\nconversion from pubic to private ownership:\nper driver\nper cyclist\nper walker"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(76:76))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(76:76))-1,15))","v":"per visit"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(76:76))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(76:76))-1,17))","v":2008},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(76:76))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(76:76))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(76:76))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(76:76))-1,19))","v":"dominant tree species\nAccess to water"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(76:76))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(76:76))-1,20))","v":"Hiking trails\nFacilities (parking/picnic)\nDistance from home"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(77:77))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(77:77))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(77:77))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(77:77))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(77:77))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(77:77))-1,4))","v":"Bateman, I. J., et al. (1996). \"Household Willingness to Pay and Farmers' Willingness to Accept Compensation for Establishing a Recreational Woodland.\" Journal of Environmental Planning and Management 39(1): 21-43."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(77:77))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(77:77))-1,5))","v":1996},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(77:77))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(77:77))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(77:77))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(77:77))-1,6))","v":"New recreational woodland facilities"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(77:77))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(77:77))-1,7))","v":"UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(77:77))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(77:77))-1,8))","v":"Oxfordshire"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(77:77))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(77:77))-1,9))","v":"Contingent valuation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(77:77))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(77:77))-1,10))","v":"100 acre wood"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(77:77))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(77:77))-1,11))","v":"Recreational users"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(77:77))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(77:77))-1,12))","v":"stratified sample of 325 households in Wantage, Oxfordshire"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(77:77))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(77:77))-1,16))","v":"pounds"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(77:77))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(77:77))-1,13))","v":"8.92-11.14\n0.75-0.89\n44450-141252"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(77:77))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(77:77))-1,14))","v":"Household\nHousehold\nTown"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(77:77))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(77:77))-1,15))","v":"Annual \nper visit\nAnnual"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(77:77))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(77:77))-1,17))","v":1991},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(77:77))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(77:77))-1,18))","v":"Annual trust fund\nper-visit entrance fee"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(77:77))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(77:77))-1,19))","v":"based on the introduction of a new 100 acre wood for recreational use (e.g. under the CWS scheme)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(77:77))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(77:77))-1,20))","v":"availability of substitute recreation facilities; frequency of visits; income"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(78:78))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(78:78))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(78:78))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(78:78))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(78:78))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(78:78))-1,4))","v":"Bateman, I.J., Garrod, G.D., Brainard, J.S. and Lovett, A.A. (1996) Measurement, valuation and estimation issues in the travel cost method: A geographical information systems approach, Journal of Agricultural Economics, 47(2): 191-205."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(78:78))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(78:78))-1,5))","v":1996},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(78:78))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(78:78))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(78:78))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(78:78))-1,6))","v":"Open access woodland recreation sites"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(78:78))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(78:78))-1,7))","v":"UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(78:78))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(78:78))-1,8))","v":"Thetford"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(78:78))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(78:78))-1,9))","v":"Travel cost"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(78:78))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(78:78))-1,10))","v":"National"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(78:78))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(78:78))-1,11))","v":"Recreational users"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(78:78))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(78:78))-1,12))","v":351},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(78:78))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(78:78))-1,16))","v":"GBP"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(78:78))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(78:78))-1,13))","v":"3.95 - 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[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(79:79))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(79:79))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(79:79))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(79:79))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(79:79))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(79:79))-1,4))","v":"Bennett, R., et al. (1995). \"The Value of Footpath Provision in the Countryside: A Case-study of Public Access to Urban-fringe Woodland.\" Journal of Environmental Planning and Management 38(3): 409-418."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(79:79))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(79:79))-1,5))","v":1995},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(79:79))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(79:79))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(79:79))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(79:79))-1,6))","v":"footpath provision in the countryside - public access to uban fringe woodland"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(79:79))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(79:79))-1,7))","v":"UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(79:79))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(79:79))-1,8))","v":"Bracknell in Berkshire Windsor Forest"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(79:79))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(79:79))-1,9))","v":"Contingent valuation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(79:79))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(79:79))-1,10))","v":"Town/City"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(79:79))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(79:79))-1,11))","v":"Recreational users"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(79:79))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(79:79))-1,12))","v":"200 users of the path network in 1993/1994"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(79:79))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(79:79))-1,16))","v":"pounds"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(79:79))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(79:79))-1,13))","v":"1.11\n14.25\n26.42"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(79:79))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(79:79))-1,14))","v":"Entrance fee\nCouncil tax\nOne-off donation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(79:79))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(79:79))-1,15))","v":"per visit\nannual\none-off"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(79:79))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(79:79))-1,17))","v":1994},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(79:79))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(79:79))-1,18))","v":"(1) payment of an entrance fee per person;\n(2) an addition to their annual Council Tax; or\n(3) a one-off voluntary donation to a charitable trust."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(79:79))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(79:79))-1,19))","v":"1052 ha of mature, mainly Scots Pine, woodland in Windsor Forest on the urban fringe of Bracknell in Berkshire\n\nattributes of the paths that they valued (landscape, peace and quiet, views, wildlife, car parking, accessibilit, footpath surface etc)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(79:79))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(79:79))-1,20))","v":"frequency of use and reason for use\n\nsocio-economic information on users (e.g. income, household\nsize etc."}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(80:80))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(80:80))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(80:80))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(80:80))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(80:80))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(80:80))-1,4))","v":"Bishop, K. (1992). \"Assessing the benefits of community forests: an evaluation of the recreational use benefits of two urban fringe woodlands.\" Journal of Environmental Planning and Management 35(1): 63-76."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(80:80))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(80:80))-1,5))","v":1992},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(80:80))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(80:80))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(80:80))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(80:80))-1,6))","v":"New recreational woodlands"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(80:80))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(80:80))-1,7))","v":"UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(80:80))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(80:80))-1,8))","v":"Derwent walk country park in Gateshead\n\nWhippendell Wood (Watford Borough Council)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(80:80))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(80:80))-1,9))","v":"Contingent Valuation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(80:80))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(80:80))-1,10))","v":"Urban fringe"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(80:80))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(80:80))-1,11))","v":"Recreational users"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(80:80))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(80:80))-1,12))","v":"100 survey respondents at each site (200 in total)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(80:80))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(80:80))-1,16))","v":"pounds"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(80:80))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(80:80))-1,13))","v":"0.422 - 1.3363\n18.53 - 27.03\n43400 - 483000\n166770 - 459510"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(80:80))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(80:80))-1,14))","v":"£/capita\n£/capita\nvalue of total visits\naggregate willingness to invest"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(80:80))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(80:80))-1,15))","v":"per visit\nwillingness to invest per year\nper year\nper year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(80:80))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(80:80))-1,17))","v":1990},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(80:80))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(80:80))-1,18))","v":"Per visit fee;\nwillingness to invest in a private company guaranteeing unlimited access to the site\n"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(80:80))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(80:80))-1,19))","v":"quiet/peacefull qualities\nwoodland wildlife\nwoodland landscape\n"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(80:80))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(80:80))-1,20))","v":"journey starting point, distance travelled, travel time, mode of transport, party size et,"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(81:81))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(81:81))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(81:81))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(81:81))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(81:81))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(81:81))-1,4))","v":"Bullock, C. H. and J. Kay (1997). \"Preservation and Change in the Upland Landscape: The Public Benefits of Grazing Management.\" Journal of Environmental Planning and Management 40(3): 315-334."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(81:81))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(81:81))-1,5))","v":1997},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(81:81))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(81:81))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(81:81))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(81:81))-1,6))","v":"Walking trails; bird watching"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(81:81))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(81:81))-1,7))","v":"Scotland"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(81:81))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(81:81))-1,8))","v":"Central Southern Uplands of Scotland"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(81:81))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(81:81))-1,9))","v":"Contingent Valuation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(81:81))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(81:81))-1,10))","v":"regional"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(81:81))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(81:81))-1,11))","v":"Recreational users"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(81:81))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(81:81))-1,12))","v":"150 hiking trail visitors w/ on-site surveys"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(81:81))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(81:81))-1,16))","v":"pounds"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(81:81))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(81:81))-1,13))","v":"53 - 86"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(81:81))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(81:81))-1,14))","v":"per ha "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(81:81))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(81:81))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(81:81))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(81:81))-1,17))","v":1994},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(81:81))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(81:81))-1,18))","v":"national taxation; council tax; trust fund"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(81:81))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(81:81))-1,19))","v":"colour of heather; presence of wildflowers; erosion; landscape quality"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(81:81))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(81:81))-1,20))","v":"grazing intensity; socioeconomic characteristics"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(82:82))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(82:82))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(82:82))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(82:82))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(82:82))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(82:82))-1,4))","v":"Forest Enterprise England (2016). Natural capital accounts 2015-16. "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(82:82))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(82:82))-1,5))","v":2016},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(82:82))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(82:82))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(82:82))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(82:82))-1,6))","v":"Net asset value for recreation and public access"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 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[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(83:83))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(83:83))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(83:83))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(83:83))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(83:83))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(83:83))-1,4))","v":"Jones, A., et al. (2010). \"Estimating Arrival Numbers for Informal Recreation: A Geographical Approach and Case Study of British Woodlands.\" Sustainability 2(2): 684-701."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(83:83))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(83:83))-1,5))","v":2010},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(83:83))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(83:83))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(83:83))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(83:83))-1,6))","v":"UK woodlands"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(83:83))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(83:83))-1,7))","v":"UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(83:83))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(83:83))-1,8))","v":"all"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(83:83))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(83:83))-1,9))","v":"travel cost methods"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(83:83))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(83:83))-1,10))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(83:83))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(83:83))-1,11))","v":"Recreational users"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(83:83))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(83:83))-1,12))","v":"10862 visitors"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(83:83))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(83:83))-1,16))","v":"pounds"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(83:83))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(83:83))-1,13))","v":4557980},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(83:83))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(83:83))-1,14))","v":"total travel cost value"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(83:83))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(83:83))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(83:83))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(83:83))-1,17))","v":2009},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(83:83))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(83:83))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(83:83))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(83:83))-1,19))","v":"accessibility, facilities at the site, avilailability of substitutes"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(83:83))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(83:83))-1,20))","v":"travel cost data, age, income, employment, etc"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(84:84))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(84:84))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(84:84))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(84:84))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(84:84))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(84:84))-1,4))","v":"Roesch-McNally, G.E., Rabotyagov, S.S. (2016).  Paying for Forest Ecosystem Services: Voluntary Versus Mandatory Payments. Environmental Management 57: 585-600."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(84:84))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(84:84))-1,5))","v":2016},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(84:84))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(84:84))-1,21))","v":"The following values are classified as recreational values, as it is highly likely that they are associated with recreational benefits to people, but it is possible that non-use value components are attached to them as well."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(84:84))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(84:84))-1,6))","v":"forest habitat\nwater quality \npublic recreation access"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(84:84))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(84:84))-1,7))","v":"USA"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(84:84))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(84:84))-1,8))","v":"Oregon and Washington States"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(84:84))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(84:84))-1,9))","v":"choice experiment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(84:84))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(84:84))-1,10))","v":"regional"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(84:84))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(84:84))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(84:84))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(84:84))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(84:84))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(84:84))-1,16))","v":"$"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(84:84))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(84:84))-1,13))","v":"Mandatory payment sub-sample:\n0.1034 $/year (for 1% increase in mature forest acreage)\n4.7106 $/year (for 1% increase in habitat for salmon)\n56.3627 $/year (for increase in public access)\nVoluntary payment sub-sample:\n0.1347 $/year (for 1% increase in mature forest acreage)\n12.6405 $/year (for 1% increase in habitat for salmon)\n38.2258 $/year (for increase in public access)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(84:84))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(84:84))-1,14))","v":"$/household/year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(84:84))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(84:84))-1,15))","v":"annual"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(84:84))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(84:84))-1,17))","v":"n.a."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(84:84))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(84:84))-1,18))","v":"Annual tax (subsample mandatory payment)\nAnnual voluntary payment (Subsample voluntary payment)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(84:84))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(84:84))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(84:84))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(84:84))-1,20))","v":"Other respondents' variables controlled for: sex of respondent, education, income, etc."}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(85:85))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(85:85))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(85:85))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(85:85))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(85:85))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(85:85))-1,4))","v":"Sen, A., et al. (2014). \"Economic Assessment of the Recreational Value of Ecosystems: Methodological Development and National and Local Application.\" Environmental & Resource Economics 57(2): 233-249."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(85:85))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(85:85))-1,5))","v":2014},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(85:85))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(85:85))-1,21))","v":"No primary values provided. A meta-analysis of relevant literature is used to predict site specific per-visit values.  Prices were deflated using the GDP deflator for the UK."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(85:85))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(85:85))-1,6))","v":"Marginal value of woodland or urban forest at a recreational site"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(85:85))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(85:85))-1,7))","v":"UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(85:85))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(85:85))-1,8))","v":"National"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(85:85))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(85:85))-1,9))","v":"Meta-analysis model of recreational value estimates"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(85:85))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(85:85))-1,10))","v":"recreational site"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(85:85))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(85:85))-1,11))","v":"Recreational users"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(85:85))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(85:85))-1,12))","v":"98 studies"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(85:85))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(85:85))-1,16))","v":"pounds"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(85:85))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(85:85))-1,13))","v":0.77500000000000002},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(85:85))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(85:85))-1,14))","v":"per person"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(85:85))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(85:85))-1,15))","v":"per trip"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(85:85))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(85:85))-1,17))","v":2010},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(85:85))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(85:85))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(85:85))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(85:85))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(85:85))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(85:85))-1,20))","v":"meta-analysis estimates the marginal value added to the per person per trip value of recreation when the site has woodland or urban forest\nSample size, habitat type (coastal and marine, freshwater and floodplains, wetlands, urban fringe), valuation unit, use value, valuation method (revealed or stated preference), UK or overseas "}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(86:86))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(86:86))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(86:86))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(86:86))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(86:86))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(86:86))-1,4))","v":"Sen, A., et al. (2014). \"Economic Assessment of the Recreational Value of Ecosystems: Methodological Development and National and Local Application.\" Environmental & Resource Economics 57(2): 233-249."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(86:86))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(86:86))-1,5))","v":2014},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(86:86))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(86:86))-1,21))","v":"No primary values provided. A meta-analysis of relevant literature is used to predict site specific per-visit values.  Prices were deflated using the GDP deflator for the UK."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(86:86))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(86:86))-1,6))","v":"Woodland or urban forest recreational site"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(86:86))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(86:86))-1,7))","v":"UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(86:86))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(86:86))-1,8))","v":"National"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(86:86))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(86:86))-1,9))","v":"Meta-analysis model of recreational value estimates"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(86:86))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(86:86))-1,10))","v":"recreational site"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(86:86))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(86:86))-1,11))","v":"Recreational users"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(86:86))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(86:86))-1,12))","v":"98 studies"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(86:86))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(86:86))-1,16))","v":"pounds"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(86:86))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(86:86))-1,13))","v":3.34},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(86:86))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(86:86))-1,14))","v":"per person"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(86:86))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(86:86))-1,15))","v":"per trip"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(86:86))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(86:86))-1,17))","v":2010},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(86:86))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(86:86))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(86:86))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(86:86))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(86:86))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(86:86))-1,20))","v":"meta-analysis estimates the per person per trip value of recreation to a woodland or urban forest recreational site\nSample size, habitat type (coastal and marine, freshwater and floodplains, wetlands, urban fringe), valuation unit, use value, valuation method (revealed or stated preference), UK or overseas "}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(87:87))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(87:87))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(87:87))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(87:87))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(87:87))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(87:87))-1,4))","v":"Zandersen, M., & Tol, R. S. (2009). A meta-analysis of forest recreation values in Europe. Journal of Forest Economics, 15(1), 109-130."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(87:87))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(87:87))-1,5))","v":2009},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(87:87))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(87:87))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(87:87))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(87:87))-1,6))","v":"Forest recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(87:87))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(87:87))-1,7))","v":"Europe "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(87:87))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(87:87))-1,8))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(87:87))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(87:87))-1,9))","v":"Meta-analysis (travel cost studies)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(87:87))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(87:87))-1,10))","v":"Site"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(87:87))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(87:87))-1,11))","v":"Recreational users"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(87:87))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(87:87))-1,12))","v":"26 studies"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(87:87))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(87:87))-1,16))","v":"euros"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(87:87))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(87:87))-1,13))","v":"0.66 - 112\n4.52"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(87:87))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(87:87))-1,14))","v":"Range for consumer surplus per trip\nMedian Value of consumer surplus per trip"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(87:87))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(87:87))-1,15))","v":"per trip"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(87:87))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(87:87))-1,17))","v":2000},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(87:87))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(87:87))-1,18))","v":"travel cost"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(87:87))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(87:87))-1,19))","v":"The majority of gathered valuation studies report on size for forest site and annual number of visits to recreation sites, but exclude more detailed information on the physical site characteristics such as phenology, diversity and density of vegetation, type of site management, and provision of visitor facilities, which is believed to be of importance for the choice and length of recreation visits"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(87:87))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(87:87))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(88:88))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(88:88))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(88:88))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(88:88))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(88:88))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(88:88))-1,4))","v":"Bartczak, A., Lindhjem, H., Navrud, S., Zandersen, M., & Żylicz, T. (2008). Valuing forest recreation on the national level in a transition economy: The case of Poland. Forest Policy and Economics, 10(7), 467-472."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(88:88))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(88:88))-1,5))","v":2008},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(88:88))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(88:88))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(88:88))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(88:88))-1,6))","v":"Forest recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(88:88))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(88:88))-1,7))","v":"Poland"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(88:88))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(88:88))-1,8))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(88:88))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(88:88))-1,9))","v":"Travel cost and contingent valuation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(88:88))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(88:88))-1,10))","v":"Site"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(88:88))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(88:88))-1,11))","v":"Recreational users"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(88:88))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(88:88))-1,12))","v":"501 observations"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(88:88))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(88:88))-1,16))","v":"euros"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(88:88))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(88:88))-1,13))","v":"0.64 - 6.93"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(88:88))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(88:88))-1,14))","v":"per person"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(88:88))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(88:88))-1,15))","v":"per trip"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(88:88))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(88:88))-1,17))","v":2005},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(88:88))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(88:88))-1,18))","v":"travel cost"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(88:88))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(88:88))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(88:88))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(88:88))-1,20))","v":"availability of substitutes, income, distance to site (travel time), town size "}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(89:89))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(89:89))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(89:89))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(89:89))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(89:89))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(89:89))-1,4))","v":"Filyushkina, A., Fitalew Agimass, Thomas Lundhede, Niels Strange, Jette Bredahl Jacobsen (2017). Preferences for valuation in forest characteristics: Does diversity between stands matter? Ecological Economics 140: 22-29."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(89:89))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(89:89))-1,5))","v":2017},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(89:89))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(89:89))-1,21))","v":"In the study, the authors focused on the recreational values, but people might also have non-use values associated with variation in height or species"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(89:89))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(89:89))-1,6))","v":"Variation in forest tree characteristics"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(89:89))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(89:89))-1,7))","v":"Denmark"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(89:89))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(89:89))-1,8))","v":"national"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(89:89))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(89:89))-1,9))","v":"choice experiment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(89:89))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(89:89))-1,10))","v":"national"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(89:89))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(89:89))-1,11))","v":"general population"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(89:89))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(89:89))-1,12))","v":1226},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(89:89))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(89:89))-1,16))","v":"DKK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(89:89))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(89:89))-1,13))","v":"14.48 (marginal WTP for moving from a coniferous to a broadleaved forest)\n19.92 (marginal WTP for moving from a coniferous to a mixed forest)\n41.52 (marginal WTP for moving from newly established stands to low trees)\n47.40 (marginal WTP for moving from newly established stands to high trees)\n57.40 (marginal WTP for moving from newly established stands to trees of varying heights)\n9.08 (marginal WTP for moving away from equality to diversity of tree species across stands)\n9.20 (marginal WTP for moving from equality to diversity of tree heights across stands) "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(89:89))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(89:89))-1,14))","v":"per person in DKK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(89:89))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(89:89))-1,15))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(89:89))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(89:89))-1,17))","v":2015},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(89:89))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(89:89))-1,18))","v":"distance to the forest"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(89:89))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(89:89))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(89:89))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(89:89))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(90:90))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(90:90))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(90:90))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(90:90))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(90:90))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(90:90))-1,4))","v":"Garrod, G. (2002). Social & Environmental Benefits of Forestry Phase 2 : Landscape Benefits, Report to the Forestry Commission, Edinburgh."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(90:90))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(90:90))-1,5))","v":2002},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(90:90))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(90:90))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(90:90))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(90:90))-1,6))","v":"forest landscape views"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(90:90))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(90:90))-1,7))","v":"UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(90:90))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(90:90))-1,8))","v":"Aberystwyth, Chester, Loch Lomond, Exeter, Harlow, Penrith & Keswick"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(90:90))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(90:90))-1,9))","v":"Choice Experiment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(90:90))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(90:90))-1,10))","v":"landscape"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(90:90))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(90:90))-1,11))","v":"Residential property owners"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(90:90))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(90:90))-1,12))","v":"stratified sample of 416 households"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(90:90))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(90:90))-1,16))","v":"pounds"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(90:90))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(90:90))-1,13))","v":"246 - 437"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(90:90))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(90:90))-1,14))","v":"per household"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(90:90))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(90:90))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(90:90))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(90:90))-1,17))","v":2002},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(90:90))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(90:90))-1,18))","v":"annual cost of living"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(90:90))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(90:90))-1,19))","v":"View; type of forest/lanscape (mountain conifer, mountain broad leaves, hilly/rolling broad leaves, etc)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(90:90))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(90:90))-1,20))","v":"recreational access to the view; annual cost ofliving in the area; council tax; cost of travelling to wok; rent"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(91:91))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(91:91))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(91:91))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(91:91))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(91:91))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(91:91))-1,4))","v":"Jones, A., Wright, J., Bateman, I., & Schaafsma, M. (2010). Estimating arrival numbers for informal recreation: a geographical approach and case study of British woodlands. Sustainability, 2(2), 684-701."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(91:91))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(91:91))-1,5))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(91:91))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(91:91))-1,21))","v":"This paper describes a novel methodology for generating models of demand for informal outdoor recreation. We analyze visitor data from multiple forest sites across Great Britain. We introduce a wide range of variables typically omitted from most economic demand models of recreation. These include on-site characteristics, and off-site locational drivers of visitation including substitute and complement availability. A Poisson multilevel model is used to model visitor counts, and the methodology is applied to a dataset of more than 10,000 visits to open-access woodland sites. Results confirm it identifies a broader range of demand drivers than previously observed. The use of nationally available explanatory variables enhances the transferability and hence general applicability of the methodology."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(91:91))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(91:91))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(91:91))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(91:91))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(91:91))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(91:91))-1,8))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(91:91))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(91:91))-1,9))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(91:91))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(91:91))-1,10))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(91:91))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(91:91))-1,11))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(91:91))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(91:91))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(91:91))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(91:91))-1,16))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(91:91))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(91:91))-1,13))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(91:91))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(91:91))-1,14))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(91:91))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(91:91))-1,15))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(91:91))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(91:91))-1,17))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(91:91))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(91:91))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(91:91))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(91:91))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(91:91))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(91:91))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(92:92))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(92:92))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(92:92))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(92:92))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(92:92))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(92:92))-1,4))","v":"Benson, J. F. (1994). Values for forest landscapes using travel cost and tokens. Landscape Research, 19(1), 23-25"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(92:92))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(92:92))-1,5))","v":1994},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(92:92))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(92:92))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(92:92))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(92:92))-1,6))","v":"Forest landscape  "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(92:92))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(92:92))-1,7))","v":"UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(92:92))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(92:92))-1,8))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(92:92))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(92:92))-1,9))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(92:92))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(92:92))-1,10))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(92:92))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(92:92))-1,11))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(92:92))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(92:92))-1,12))","v":"3623 respondents"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(92:92))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(92:92))-1,16))","v":"pounds"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(92:92))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(92:92))-1,13))","v":"53 million\n15.4 million\n10.6 million\n15.4 million\n5.5 million\n6.1 million"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(92:92))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(92:92))-1,14))","v":"aggregate values for attributes of total Forestry Commission estate in 1988:\ntotal value\nwildlife\nlandscape\naccess\nspecial recreation \nvisitor centres\n"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(92:92))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(92:92))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(92:92))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(92:92))-1,17))","v":1988},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(92:92))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(92:92))-1,18))","v":"tokens and travel cost method"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(92:92))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(92:92))-1,19))","v":"forest attributes: wildlife; forest landscape; recreation facilities; information centre/museum and access"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(92:92))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(92:92))-1,20))","v":"value of travel time, travel costs, income and other sites visited as part of the trip"}]
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The quantification and valuation of the environmental, social and economic impacts of the Forest of Marston Vale. Report prepared for:\nThe Forest of Marston Vale, March 2017"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(93:93))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(93:93))-1,5))","v":2017},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(93:93))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(93:93))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(93:93))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(93:93))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 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[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(94:94))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(94:94))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(94:94))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(94:94))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(94:94))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(94:94))-1,4))","v":"Ojea, E., Loureiro, M.L., Allo' M., Barrio, M. (2016). Ecosystem Services and REDD: Estimating the Benefits of Non-Carbon Services in Worldwide Forests. World Development 78: 246–261"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(94:94))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(94:94))-1,5))","v":2016},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(94:94))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(94:94))-1,21))","v":"The paper reviews various services provided by forests: water and air regulation (not classified because it does not allow to clearly identify the final good as well as the production function), water supply (direct use of water quantity, including water for agriculture or human consumption or for hydroelectric power), damage mitigation (control against floods, erosion, fires, also not classified because it could fall under a mix of final ecosystem services and production functions), climate regulation (climate mitigation, carbon sequestration in soil and trees), food and fiber and wildlife diversity. "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(94:94))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(94:94))-1,6))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(94:94))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(94:94))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(94:94))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(94:94))-1,8))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(94:94))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(94:94))-1,9))","v":"meta-analysis"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(94:94))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(94:94))-1,10))","v":"global"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(94:94))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(94:94))-1,11))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(94:94))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(94:94))-1,12))","v":"205 observations"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(94:94))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(94:94))-1,16))","v":"US$"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(94:94))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(94:94))-1,13))","v":218},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(94:94))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(94:94))-1,14))","v":"US$/ha/year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(94:94))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(94:94))-1,15))","v":"per ha/year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(94:94))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(94:94))-1,17))","v":2008},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(94:94))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(94:94))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(94:94))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(94:94))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(94:94))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(94:94))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(95:95))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(95:95))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(95:95))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(95:95))-1,3))","v":"Spiritual and cultural"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(95:95))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(95:95))-1,4))","v":"Macmillan, D. C. (2002). Social & Environmental Benefits of Forestry Phase 2: The Value of Managing Forests to Protect Archaeology, Report to Forestry Commission, Edinburgh."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(95:95))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(95:95))-1,5))","v":2002},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(95:95))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(95:95))-1,21))","v":"Not a primary valuation study -  instead a benefit transfer approach is used which adapts WTP data from relevant previous studies that value the protection of archaeology"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 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[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(96:96))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(96:96))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(96:96))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(96:96))-1,3))","v":"Spiritual and cultural services"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(96:96))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(96:96))-1,4))","v":"The Research Box, et al. (2009). Experiencing Landscapes: capturing the cultural services and experiential qualities of landscape, A Natural England Commissioned Report NECR024."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(96:96))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(96:96))-1,5))","v":2009},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(96:96))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(96:96))-1,21))","v":"No values provided. Reviews evidence of the cultural services and experiential qualities that landscapes provide to society."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(96:96))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(96:96))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(96:96))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(96:96))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(96:96))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(96:96))-1,8))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(96:96))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(96:96))-1,9))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(96:96))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(96:96))-1,10))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(96:96))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(96:96))-1,11))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(96:96))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(96:96))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(96:96))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(96:96))-1,16))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(96:96))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(96:96))-1,13))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(96:96))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(96:96))-1,14))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(96:96))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(96:96))-1,15))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(96:96))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(96:96))-1,17))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(96:96))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(96:96))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(96:96))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(96:96))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(96:96))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(96:96))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(97:97))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(97:97))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(97:97))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(97:97))-1,3))","v":"Urban heat island"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(97:97))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(97:97))-1,4))","v":"Akbari, H., et al. (1997). \"Peak power and cooling energy savings of shade trees.\" Energy and Buildings 25(2): 139-148."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(97:97))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(97:97))-1,5))","v":1997},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(97:97))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(97:97))-1,21))","v":"Results reported in biophysical units (temperature, kW, kWh/d). Impacts not valued in monetary terms."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(97:97))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(97:97))-1,6))","v":"Urban tree shading, leading to cooling energy savings and peak power reductions"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(97:97))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(97:97))-1,7))","v":"US"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(97:97))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(97:97))-1,8))","v":"Sacramento, CA"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(97:97))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(97:97))-1,9))","v":"DOE-2.1E Simulation Program"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(97:97))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(97:97))-1,10))","v":"Household"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(97:97))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(97:97))-1,11))","v":"Residential property owners"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(97:97))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(97:97))-1,12))","v":2},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(97:97))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(97:97))-1,16))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(97:97))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(97:97))-1,13))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(97:97))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(97:97))-1,14))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(97:97))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(97:97))-1,15))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(97:97))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(97:97))-1,17))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(97:97))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(97:97))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(97:97))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(97:97))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(97:97))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(97:97))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(98:98))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(98:98))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(98:98))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(98:98))-1,3))","v":"Urban heat island"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(98:98))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(98:98))-1,4))","v":"Akbari, H. (2002). \"Shade trees reduce building energy use and CO2 emissions from power plants.\" Environmental Pollution 116: S119-S126."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(98:98))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(98:98))-1,5))","v":2002},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(98:98))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(98:98))-1,21))","v":"This is a review & synthesis - not a primary valuation study"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(98:98))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 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[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(99:99))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(99:99))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(99:99))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(99:99))-1,3))","v":"Food - agriculture and fisheries"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(99:99))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(99:99))-1,4))","v":"Ojea, E., Loureiro, M.L., Allo' M., Barrio, M. (2016). Ecosystem Services and REDD: Estimating the Benefits of Non-Carbon Services in Worldwide Forests. World Development 78: 246–261"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(99:99))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(99:99))-1,5))","v":2016},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(99:99))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(99:99))-1,21))","v":"The paper reviews various services provided by forests: water and air regulation (not classified because it does not allow to clearly identify the final good as well as the production function), water supply (direct use of water quantity, including water for agriculture or human consumption or for hydroelectric power), damage mitigation (control against floods, erosion, fires, also not classified because it could fall under a mix of final ecosystem services and production functions), climate regulation (climate mitigation, carbon sequestration in soil and trees), food and fiber and wildlife diversity. "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(99:99))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(99:99))-1,6))","v":"food and fiber"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(99:99))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(99:99))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(99:99))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(99:99))-1,8))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(99:99))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(99:99))-1,9))","v":"meta-analysis"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(99:99))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(99:99))-1,10))","v":"global"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(99:99))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(99:99))-1,11))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(99:99))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(99:99))-1,12))","v":"205 observations"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(99:99))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(99:99))-1,16))","v":"US$"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(99:99))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(99:99))-1,13))","v":1268},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(99:99))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(99:99))-1,14))","v":"US$/ha/year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(99:99))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(99:99))-1,15))","v":"per ha/year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(99:99))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(99:99))-1,17))","v":2008},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(99:99))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(99:99))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(99:99))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(99:99))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(99:99))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(99:99))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(100:100))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(100:100))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(100:100))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(100:100))-1,3))","v":"Food (agriculture and subsistence) "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(100:100))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(100:100))-1,4))","v":"Forest Enterprise England (2016). Natural capital accounts 2015-16. 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From failure to value: economic valuation for a selected set of products and services from Mediterranean forests. Forest Systems 25(1): 16 pages"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(103:103))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(103:103))-1,5))","v":2016},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(103:103))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(103:103))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(103:103))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(103:103))-1,6))","v":"Value of non timber products (nuts, cork, animals,  etc)"},{"$f":"IF(ISERROR(INDEX('Master Data 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2'!$A$2:$A$219)),ROW(103:103))-1,15))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(103:103))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(103:103))-1,17))","v":2010},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(103:103))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(103:103))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(103:103))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(103:103))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(103:103))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(103:103))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(104:104))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(104:104))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(104:104))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(104:104))-1,3))","v":"Food - commercial"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(104:104))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(104:104))-1,4))","v":"Häyhä, T., Franzese, P., Paletto, A., Fath, B.D. (2015). Assessing, valuing, and mapping ecosystem services in Alpine forests. Ecosystem Services 14: 12-23."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(104:104))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(104:104))-1,5))","v":2015},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(104:104))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(104:104))-1,21))","v":"This paper looked at different ecosystem services and provided a single value for each of them, so information was reported on the economic value of each of them separately. "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(104:104))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(104:104))-1,6))","v":"Hunted animals (game), berries, mushrooms"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(104:104))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(104:104))-1,7))","v":"Italy"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(104:104))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(104:104))-1,8))","v":"Trentino"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(104:104))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(104:104))-1,9))","v":"market value"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(104:104))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(104:104))-1,10))","v":"regional"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(104:104))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(104:104))-1,11))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(104:104))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(104:104))-1,12))","v":"n.a. "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(104:104))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(104:104))-1,16))","v":"euro"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(104:104))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(104:104))-1,13))","v":"value of game per ha per year: 5\nvalue of mushroom per ha per year: 14\nvalue of berries per ha per year: 2"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(104:104))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(104:104))-1,14))","v":"euro/ha/yr"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(104:104))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(104:104))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(104:104))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(104:104))-1,17))","v":2010},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(104:104))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(104:104))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(104:104))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(104:104))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(104:104))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(104:104))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(105:105))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(105:105))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(105:105))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(105:105))-1,3))","v":"Food - subsistence"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(105:105))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(105:105))-1,4))","v":"Felardo, J., Lippitt, C.D. (2016). Spatial forest valuation: The role of location in determining attitudes toward payment for ecosystem services policies. Forest Policy and Economics 62: 158-167."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(105:105))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(105:105))-1,5))","v":2016},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(105:105))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(105:105))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(105:105))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(105:105))-1,6))","v":"Non-timber products  (i.e. mushrooms, herbs, larvae, etc.)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(105:105))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(105:105))-1,7))","v":"Thailand"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(105:105))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(105:105))-1,8))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(105:105))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(105:105))-1,9))","v":"secondary valuation literature"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(105:105))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(105:105))-1,10))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(105:105))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(105:105))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(105:105))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(105:105))-1,12))","v":492},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(105:105))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(105:105))-1,16))","v":"bhat"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(105:105))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(105:105))-1,13))","v":"0.01 6 -.96 (over 136,524 plots, where each plot is 30 x 30m)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(105:105))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(105:105))-1,14))","v":"bhat/year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(105:105))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(105:105))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(105:105))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(105:105))-1,17))","v":2012},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(105:105))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(105:105))-1,18))","v":"n.a. "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(105:105))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(105:105))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(105:105))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(105:105))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(106:106))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(106:106))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(106:106))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(106:106))-1,3))","v":"Food - subsistence"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(106:106))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(106:106))-1,4))","v":"Rai, R.K., Scarborough, H. (2015). Nonmarket valuation in developing countries: incorporating labour contributions in environmental benefits estimates. Australian Journal of Agricultural and Resource Economics 59: 479-498"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(106:106))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(106:106))-1,5))","v":2015},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(106:106))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(106:106))-1,21))","v":"Values are classified as WTP (or willingness to contribute with labour days) to control invasive species which are negatively affecting local livelihood/economy of households. This emerges to be the main source of value for people, but other production functions may be involved as well."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(106:106))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(106:106))-1,6))","v":"invasive species control (affecting residents' livelihoods)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(106:106))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(106:106))-1,7))","v":"Nepal"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(106:106))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(106:106))-1,8))","v":"Chitwan National Park "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(106:106))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(106:106))-1,9))","v":"choice experiment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(106:106))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(106:106))-1,10))","v":"regional"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(106:106))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(106:106))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(106:106))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(106:106))-1,12))","v":"500 (176 belonging to the sub-sample where the cost attribute was expressed in terms of a monetary contribution and 324 belonging to the sub-sample where the cost attribute was expressed in terms of equivalent hours of labour) "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(106:106))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(106:106))-1,16))","v":"Subsample with monetary attribute: NRs \nSubsample with labour attribute: labour day"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(106:106))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(106:106))-1,13))","v":"Subsample with monetary attribute:\n695.61 (WTP per one hour decrease in forest products collection time)\n0.23 (WTP per visitor to the community forest per year)\n64.5 (WTP per one unit increase in plant species richness)\nSubsample with labour attribute:\n1.41 (WTP per one hour decrease in forest products collection time)\n6.36E-4 (WTP per visitor to the community forest per year)\n0.16 (WTP per one unit increase in plant species richness)   \n"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(106:106))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(106:106))-1,14))","v":"Subsample with monetary attribute:\n(Annual) WTP in NRs \nSubsample with labour attribute:\n(Annual) WTP in labour day"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(106:106))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(106:106))-1,15))","v":"5-year period"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(106:106))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(106:106))-1,17))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(106:106))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(106:106))-1,18))","v":"Subsample with monetary attribute:\n(Annual) WTP in NRs \nSubsample with labour attribute:\n(Annual) WTP in labour day"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(106:106))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(106:106))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(106:106))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(106:106))-1,20))","v":"Other respondents' variables controlled for: sex of respondent, age, household size, education"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(107:107))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(107:107))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(107:107))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(107:107))-1,3))","v":"Housing services"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(107:107))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(107:107))-1,4))","v":"Escobedo, F., Adams, D.A., Timilsina, N. (2015). Urban forest structure effects on property value. Ecosystem Services 12 (2015) 209–217"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(107:107))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(107:107))-1,5))","v":2015},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(107:107))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(107:107))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(107:107))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(107:107))-1,6))","v":"value of additional trees and the effect of urban tree structure on property price"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(107:107))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(107:107))-1,7))","v":"US"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(107:107))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(107:107))-1,8))","v":"urban"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(107:107))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(107:107))-1,9))","v":"hedonic pricing"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(107:107))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(107:107))-1,10))","v":"local"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(107:107))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(107:107))-1,11))","v":"Urban populations"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(107:107))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(107:107))-1,12))","v":"n.a. "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(107:107))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(107:107))-1,16))","v":"USD"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(107:107))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(107:107))-1,13))","v":"$1586 (home price premium associated to each additional tree close to the property)\n$9348 (home price premium associated to each extra unit increase in Leaf Area Index, an indicator used to measure the proportion of leaf area over ground area)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(107:107))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(107:107))-1,14))","v":"per home"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(107:107))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(107:107))-1,15))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(107:107))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(107:107))-1,17))","v":"2008-2009"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(107:107))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(107:107))-1,18))","v":"property taxes assessed value data are considered to calculate the price premium effect"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(107:107))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(107:107))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(107:107))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(107:107))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(108:108))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(108:108))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(108:108))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(108:108))-1,3))","v":"Mental health"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(108:108))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(108:108))-1,4))","v":"Smith, D. M., Damschroder, S. Y. H., and Ubel, P. A., (2012) What's It Worth? Public Willingness to Pay to Avoid Mental Illnesses Compared With General Medical Illnesses, Psychiatric Services 2012 63:4, 319-324 "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(108:108))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(108:108))-1,5))","v":2012},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(108:108))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(108:108))-1,21))","v":"The payment vehicle may raise issues of credibility\nThe study is for the US and needs to be altered to transfer to UK populations\nDemographic characterstics were included in the survey and could be used to aid benefit transfer.\nDepression is broadly defined and appears open to interpretation by respondents."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(108:108))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(108:108))-1,6))","v":"Willingness to pay to avoid mental illness"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(108:108))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(108:108))-1,7))","v":"US"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(108:108))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(108:108))-1,8))","v":"National"},{"$f":"IF(ISERROR(INDEX('Master Data 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pocket"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(108:108))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(108:108))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(108:108))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(108:108))-1,20))","v":"US"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(109:109))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(109:109))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(109:109))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(109:109))-1,3))","v":"Non-use value"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(109:109))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(109:109))-1,4))","v":"Bakhtiaria, F.,  Jacobsen, F.B., Thorsen, B.J., Lundhede, T.H., Strange,N., Boman, M. (2018). Disentangling Distance and Country Effects on the Value of Conservation across National Borders. Ecological Economics 147: 11-20"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(109:109))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(109:109))-1,5))","v":2018},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(109:109))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(109:109))-1,21))","v":"Value of species increase could be associated with use values (recreation), but also non-use values. We can't disentangle between these two."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(109:109))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(109:109))-1,6))","v":"Number of abundant forest species in area"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(109:109))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(109:109))-1,7))","v":"Denmark\nSweden"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(109:109))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(109:109))-1,8))","v":"Funen and Zealand (Denmark)\nScania (Sweden)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(109:109))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(109:109))-1,9))","v":"choice experiment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(109:109))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(109:109))-1,10))","v":"regional"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(109:109))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(109:109))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(109:109))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(109:109))-1,12))","v":1845},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(109:109))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(109:109))-1,16))","v":"DKK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(109:109))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(109:109))-1,13))","v":"WTP for an increase in the number of abundant forest species (from 1000 to 2000):\n400 - for residents in Zealand\n514 - for residents in Scania"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(109:109))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(109:109))-1,14))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(109:109))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(109:109))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(109:109))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(109:109))-1,17))","v":2012},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(109:109))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(109:109))-1,18))","v":"income tax"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(109:109))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(109:109))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(109:109))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(109:109))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(110:110))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(110:110))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(110:110))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(110:110))-1,3))","v":"Non-use value"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(110:110))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(110:110))-1,4))","v":"Bartczak, A. (2015). The role of social and environmental attitudes in non-market valuation. An application to the Białowieża Forest. Forest Policy and Economics 50 (2015) 357–365"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(110:110))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(110:110))-1,5))","v":2015},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(110:110))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(110:110))-1,21))","v":"It is possible that use values are also associated with the values recorded here. Not possible to disentangle between them though. "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(110:110))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(110:110))-1,6))","v":"Forest naturalness"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(110:110))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(110:110))-1,7))","v":"Poland"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(110:110))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(110:110))-1,8))","v":"local (Białowieża Forest)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(110:110))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(110:110))-1,9))","v":"choice experiment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(110:110))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(110:110))-1,10))","v":"local"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(110:110))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(110:110))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(110:110))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(110:110))-1,12))","v":741},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(110:110))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(110:110))-1,16))","v":"zł"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(110:110))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(110:110))-1,13))","v":"20.39 (WTP to achieve high levels of naturalness in commercial forests)\n24.81 (WTP to achieve high levels of naturalness in second-growth forests)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(110:110))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(110:110))-1,14))","v":"per household per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(110:110))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(110:110))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(110:110))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(110:110))-1,17))","v":2011},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(110:110))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(110:110))-1,18))","v":"annual tax"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(110:110))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(110:110))-1,19))","v":"Highly natural forest, where naturalness has suffered from pressures due to commercial timber logging, timber plantation and recreationists."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(110:110))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(110:110))-1,20))","v":"Additionally, environmental attitudes of respondents and altruism effects have been controlled for"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(111:111))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(111:111))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(111:111))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(111:111))-1,3))","v":"Non-use value"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(111:111))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(111:111))-1,4))","v":"Czajkowski, M., Wiktor Budzinski, Danny Campbell,  Marek Giergiczny, Nick Hanley (2017). Spatial Heterogeneity of Willingness to Pay for Forest Management. Environ Resource Econ (2017) 68:705–727"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(111:111))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(111:111))-1,5))","v":2017},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(111:111))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(111:111))-1,21))","v":"Value components might include use and non-use values, which can't be disentangled in this study "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(111:111))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(111:111))-1,6))","v":"Forest passive protection"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(111:111))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(111:111))-1,7))","v":"Poland"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(111:111))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(111:111))-1,8))","v":"national"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(111:111))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(111:111))-1,9))","v":"choice experiment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(111:111))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(111:111))-1,10))","v":"national"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(111:111))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(111:111))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(111:111))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(111:111))-1,12))","v":1001},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(111:111))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(111:111))-1,16))","v":"PLN"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(111:111))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(111:111))-1,13))","v":"13.54 (WTP to achieve passive protection of most valuable\nforests—substantial improvement)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(111:111))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(111:111))-1,14))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(111:111))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(111:111))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(111:111))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(111:111))-1,17))","v":2010},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(111:111))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(111:111))-1,18))","v":"annual tax"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(111:111))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(111:111))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(111:111))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(111:111))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(112:112))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(112:112))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(112:112))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(112:112))-1,3))","v":"Non-use value"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(112:112))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(112:112))-1,4))","v":"Garrod, G. D. and K. G. Willis (1997). \"The non-use benefits of enhancing forest biodiversity: A contingent ranking study.\" Ecological Economics 21(1): 45-61."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(112:112))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(112:112))-1,5))","v":1997},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(112:112))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(112:112))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(112:112))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(112:112))-1,6))","v":"general public's willingness to pay to increase the area of these forests managed under each of three forest management standards designed to offer increasing levels of biodiversity at the expense of commercial timber production."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(112:112))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(112:112))-1,7))","v":"UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(112:112))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(112:112))-1,8))","v":"remote forests in the FC estate"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(112:112))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(112:112))-1,9))","v":"discrete-choice contingent ranking approach"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(112:112))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(112:112))-1,10))","v":"300000ha of remote forest"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(112:112))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(112:112))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(112:112))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(112:112))-1,12))","v":"648 individuals"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(112:112))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(112:112))-1,16))","v":"pounds\npounds\npounds"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(112:112))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(112:112))-1,13))","v":"0.303 - 0.334\n0.517 - 0.564\n0.185 - 0.207"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(112:112))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(112:112))-1,14))","v":"per household (basic standard of biodiversity conservation)\nper household (desired standard of biodiversity conservation)\nper household (conversion to native woodland)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(112:112))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(112:112))-1,15))","v":"per year\nper year\nper year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(112:112))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(112:112))-1,17))","v":"1995\n1995\n1995"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(112:112))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(112:112))-1,18))","v":"tax increases"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(112:112))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(112:112))-1,19))","v":"type of forest; forest management scheme; biodiversity"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(112:112))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(112:112))-1,20))","v":"1. 'do nothing', and maximise timber production\n2. a 'basic' standard of biodiversity conservation\n3. the 'desired' standard of biodiversity conservation\n4. conversion to native woodland [Standard C]"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(113:113))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(113:113))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(113:113))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(113:113))-1,3))","v":"Non-use value production"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(113:113))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(113:113))-1,4))","v":"Pechanec, V., Machar, I., Sterbova, L., Prokopova, M., Kilianova, H., Chobot, K., Cudlin, P. (2017). Monetary Valuation of Natural Forest Habitats in Protected Areas. Forests, 8, 427"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(113:113))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(113:113))-1,5))","v":2017},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(113:113))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(113:113))-1,21))","v":"The paper is based on actual spendings on forest restoration and looks at different habitats which display particular value in terms of naturalness. These habitats display particular importance in terms of ecological quality (matureness, naturalness, diversity of plant species and animal species), as well as other four characteristics, expressing the degree of rarity or threat to the habitat (rareness of biotope, rareness of species, vulnerability, threat to existence)."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(113:113))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(113:113))-1,6))","v":"natural forests within protected areas"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(113:113))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(113:113))-1,7))","v":"Czech Republic"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(113:113))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(113:113))-1,8))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(113:113))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(113:113))-1,9))","v":"actual spent budget investments on forest restoration"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(113:113))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(113:113))-1,10))","v":"national "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(113:113))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(113:113))-1,11))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(113:113))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(113:113))-1,12))","v":"136 realised projects within the Program for the Restoration of River Systems in the Czech Republic."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(113:113))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(113:113))-1,16))","v":"EUR"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(113:113))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(113:113))-1,13))","v":"76,000,000,000 (for the conservation of the SAC network of protected areas, which accounts for a total of 2922.89 km2 of natural forest habitat)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(113:113))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(113:113))-1,14))","v":"EUR/year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(113:113))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(113:113))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(113:113))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(113:113))-1,17))","v":2015},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(113:113))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(113:113))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(113:113))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(113:113))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(113:113))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(113:113))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(114:114))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(114:114))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(114:114))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(114:114))-1,3))","v":"Non-use value production"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(114:114))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(114:114))-1,4))","v":"Rambonilaza,T., Brahic, E. (2016). Non-market values of forest biodiversity and the impact of informing the general public: Insights from generalized multinomial logit estimations. Environmental Science & Policy 64: 93-100 "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(114:114))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(114:114))-1,5))","v":2016},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(114:114))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(114:114))-1,21))","v":"The paper focuses on comparing the effect of providing (versus not providing) respondents with information about the importance and role of biodiversity and the effect of this on the valuation on biodiversity attributes."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(114:114))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(114:114))-1,6))","v":"forest biodiversity attributes (deadwood, forest stand and age, presence of trees with high ecological value)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(114:114))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(114:114))-1,7))","v":"France"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(114:114))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(114:114))-1,8))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(114:114))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(114:114))-1,9))","v":"Choice Experiment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(114:114))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(114:114))-1,10))","v":"national"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(114:114))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(114:114))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(114:114))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(114:114))-1,12))","v":"747 (sub-sample not exposed to extra information)\n785 (sub-sample exposed to extra information)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(114:114))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(114:114))-1,16))","v":"EUR"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(114:114))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(114:114))-1,13))","v":"Values for selected forest improvements, depending on sub-sample (informed vs. un-informed individuals):\n11.11 - 11.79 (stand structure - increasing age distribution from one heighr to two height or from two height to mixed height) \n18.34 - 18.38 (increase tree species diversity - from low to higher number of tree species)\n2.17 - 7.11 (increase the volume of fallen deadwood - from no to little deadwood or from little to important quantity of deadwood)\n15.06 - 15.40 (Presence of trees of high ecological values - from no to low density old-growth trees or from low to high density old-growth trees)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(114:114))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(114:114))-1,14))","v":"EUR/household/year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(114:114))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(114:114))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(114:114))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(114:114))-1,17))","v":2012},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(114:114))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(114:114))-1,18))","v":"annual financial contribution per household to promote biodiversity- based forest management"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(114:114))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(114:114))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(114:114))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(114:114))-1,20))","v":"Characteristics of the respondent controlled for: familiarity with the biodiversity concept, awareness and consciousness of issues at stake, as well as their experiences of forest recreation"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(115:115))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(115:115))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(115:115))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(115:115))-1,3))","v":"Non-use value"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(115:115))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(115:115))-1,4))","v":"Willis, K. G. and G. D. Garrod (1998). \"Biodiversity values for alternative management regimes in remote UK coniferous forests: an iterative bidding polychotomous choice approach.\" Environmentalist 18(3): 157-166."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(115:115))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(115:115))-1,5))","v":1998},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(115:115))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(115:115))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(115:115))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(115:115))-1,6))","v":"Di\u0080fferent management options to improve levels of biodiversity in 300,000ha of remote coniferous forest."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(115:115))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(115:115))-1,7))","v":"UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(115:115))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(115:115))-1,8))","v":"National"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(115:115))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(115:115))-1,9))","v":"Contingent valuation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(115:115))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(115:115))-1,10))","v":"National"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(115:115))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(115:115))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(115:115))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(115:115))-1,12))","v":1097},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(115:115))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(115:115))-1,16))","v":"GBP"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(115:115))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(115:115))-1,13))","v":"28.64\n21.41\n27.04"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(115:115))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(115:115))-1,14))","v":"Three different management options.\nall per household"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(115:115))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(115:115))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(115:115))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(115:115))-1,17))","v":1998},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(115:115))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(115:115))-1,18))","v":"Taxes"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(115:115))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(115:115))-1,19))","v":"Only Coniferous forests considered."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(115:115))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(115:115))-1,20))","v":"Valuation was on remote forests that subjects were unlikely to visit"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(116:116))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(116:116))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(116:116))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(116:116))-1,3))","v":"Non-use value"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(116:116))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(116:116))-1,4))","v":"Lindhjem, H., et al. (2015). \"The social benefits and costs of preserving forest biodiversity and ecosystem services.\" Journal of Environmental Economics and Policy 4(2): 202-222."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(116:116))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(116:116))-1,5))","v":2015},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(116:116))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(116:116))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(116:116))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(116:116))-1,6))","v":"Three conservation plans to move from the current level of forest resevres, 1.4%, to either 2.8%, 4.5% or 10%."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(116:116))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(116:116))-1,7))","v":"Norway"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(116:116))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(116:116))-1,8))","v":"National"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(116:116))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(116:116))-1,9))","v":"Contingent Valuation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(116:116))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(116:116))-1,10))","v":"National"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(116:116))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(116:116))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(116:116))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(116:116))-1,12))","v":2881},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(116:116))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(116:116))-1,16))","v":"Kroner (Norway)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(116:116))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(116:116))-1,13))","v":"\n693-1039\n796 - 1248\n872 - 1300"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(116:116))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(116:116))-1,14))","v":"per household\n2.8% plan\n4.5% plan\n10% plan"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(116:116))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(116:116))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(116:116))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(116:116))-1,17))","v":2007},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(116:116))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(116:116))-1,18))","v":"Taxes"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(116:116))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(116:116))-1,19))","v":"Increases in improved living conditions for a number of species groups."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(116:116))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(116:116))-1,20))","v":"Exact locations of new reserves not known."}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(117:117))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(117:117))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(117:117))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(117:117))-1,3))","v":"Non-use value"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(117:117))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(117:117))-1,4))","v":"Macmillan, D. C. and E. I. Duff (1998). \"Estimating the non-market costs and benefits of native woodland restoration using the contingent valuation method.\" Forestry 71(3): 247-259."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(117:117))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(117:117))-1,5))","v":1998},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(117:117))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(117:117))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(117:117))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(117:117))-1,6))","v":"Restoration of two native pine forests"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(117:117))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(117:117))-1,7))","v":"Scotland"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(117:117))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(117:117))-1,8))","v":"Affric and Strathspey"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(117:117))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(117:117))-1,9))","v":"Contingent Valuation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(117:117))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(117:117))-1,10))","v":"Regional"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(117:117))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(117:117))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(117:117))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(117:117))-1,12))","v":643},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(117:117))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(117:117))-1,16))","v":"GBP"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(117:117))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(117:117))-1,13))","v":"5 - 51\n53 - 69\n67 - 109"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(117:117))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(117:117))-1,14))","v":"per household\nAffric\nStrathspey\nBoth"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(117:117))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(117:117))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(117:117))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(117:117))-1,17))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(117:117))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(117:117))-1,18))","v":"Taxes"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(117:117))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(117:117))-1,19))","v":"Habitat for other flora, fauna and fungi"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(117:117))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(117:117))-1,20))","v":"Remote locations"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(118:118))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(118:118))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(118:118))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(118:118))-1,3))","v":"Non-use value"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(118:118))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(118:118))-1,4))","v":"Christie, M., et al. (2006). \"Valuing the diversity of biodiversity.\" Ecological Economics 58(2): 304-317."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(118:118))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(118:118))-1,5))","v":2006},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(118:118))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(118:118))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(118:118))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(118:118))-1,6))","v":"changes in biodiversity on UK farmland"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(118:118))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(118:118))-1,7))","v":"UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(118:118))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(118:118))-1,8))","v":"Cambridgeshire and Northumberland"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(118:118))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(118:118))-1,9))","v":"Choice experiment valuing biodiversity attributes (familiar species of wildlife, rare unfamiliar species of wildlife, habitats, ecosystems)\nContingent Valuation of 3 biodiversity enhancing policies (agri-environment scheme, habitat re-creation & protection of biodiversity loss associated with a housing development)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(118:118))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(118:118))-1,10))","v":"regional"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(118:118))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(118:118))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(118:118))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(118:118))-1,12))","v":"343 survey respondents in Cambridgehire; 398 survey respndents in Northumberland"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(118:118))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(118:118))-1,16))","v":"pounds"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(118:118))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(118:118))-1,13))","v":"47.38 - 70.36\n34.67 - 50.27"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(118:118))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(118:118))-1,14))","v":"per household"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(118:118))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(118:118))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(118:118))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(118:118))-1,17))","v":2005},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(118:118))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(118:118))-1,18))","v":"annual increa in taxation over the next 5 years"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(118:118))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(118:118))-1,19))","v":"Choice Experiment: (familiar species of wildlife, rare unfamiliar species of wildlife, habitats, ecosystems)\n\nContingent Valuation study: public willingness to pay for biodiversity enhancements\nof species, species rarity, habitat, and ecosystem processes"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(118:118))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(118:118))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(119:119))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(119:119))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(119:119))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(119:119))-1,3))","v":"Non-use value production"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(119:119))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(119:119))-1,4))","v":"Oviedo, J.L., Alejandro Caparrós (2015). Information and visual attention in contingent valuation and choice modeling: field and eye-tracking experiments applied to reforestations in Spain. Journal of Forest Economics 21: 185-204."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(119:119))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(119:119))-1,5))","v":2015},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(119:119))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(119:119))-1,21))","v":"This study is classified as providing benefits to people primarily through non-use value motives, but it is acknowledged that the ecological improvements proposed could also provide recreational benefits. The extent to which these are captured in the WTP presented in this study is not known.  "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(119:119))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(119:119))-1,6))","v":"stone pine reforestation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(119:119))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(119:119))-1,7))","v":"Spain"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(119:119))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(119:119))-1,8))","v":"south-west of Spain"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(119:119))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(119:119))-1,9))","v":"contingent valuation and choice modelling"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(119:119))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(119:119))-1,10))","v":"regional"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(119:119))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(119:119))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(119:119))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(119:119))-1,12))","v":"556 (CV)\n1036 (CE)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(119:119))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(119:119))-1,16))","v":"euros"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(119:119))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(119:119))-1,13))","v":"Contingent valuation results (mean):\n39.20 (WTP for 40ha of shrub removal)\n33.92 (WTP for 40ha of eucaliptus removal) \n37.13 (WTP for 80ha of shrub removal)\n31.84 (WTP for 80ha of eucalyptus removal)\nChoice experiment results (mean):\n31.65 (WTP for 40ha of shrub removal)\n38.15 (WTP for 40ha of eucaliptus removal)\n37.39 (WTP for 80ha of shrub removal)\n43.89 (WTP for 80ha of eucalyptus removal)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(119:119))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(119:119))-1,14))","v":"€/person"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(119:119))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(119:119))-1,15))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(119:119))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(119:119))-1,17))","v":"2010-11"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(119:119))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(119:119))-1,18))","v":"one-time increase in taxes"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(119:119))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(119:119))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(119:119))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(119:119))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(120:120))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(120:120))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(120:120))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(120:120))-1,3))","v":"Non-use value production"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(120:120))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(120:120))-1,4))","v":"Ojea, E., Loureiro, M.L., Allo' M., Barrio, M. (2016). Ecosystem Services and REDD: Estimating the Benefits of Non-Carbon Services in Worldwide Forests. World Development 78: 246–261"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(120:120))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(120:120))-1,5))","v":2016},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(120:120))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(120:120))-1,21))","v":"The paper reviews various services provided by forests: water and air regulation (not classified because it does not allow to clearly identify the final good as well as the production function), water supply (direct use of water quantity, including water for agriculture or human consumption or for hydroelectric power), damage mitigation (control against floods, erosion, fires, also not classified because it could fall under a mix of final ecosystem services and production functions), climate regulation (climate mitigation, carbon sequestration in soil and trees), food and fiber and wildlife diversity. "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(120:120))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(120:120))-1,6))","v":"biodiversity conservation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(120:120))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(120:120))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(120:120))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(120:120))-1,8))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(120:120))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(120:120))-1,9))","v":"meta-analysis"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(120:120))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(120:120))-1,10))","v":"global"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(120:120))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(120:120))-1,11))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(120:120))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(120:120))-1,12))","v":"205 observations"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(120:120))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(120:120))-1,16))","v":"US$"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(120:120))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(120:120))-1,13))","v":1279},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(120:120))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(120:120))-1,14))","v":"US$/ha/year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(120:120))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(120:120))-1,15))","v":"per ha/year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(120:120))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(120:120))-1,17))","v":2008},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(120:120))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(120:120))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(120:120))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(120:120))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(120:120))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(120:120))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(121:121))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(121:121))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(121:121))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(121:121))-1,3))","v":"Non-use value production"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(121:121))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(121:121))-1,4))","v":"Valasiuk, S., Mikołaj Czajkowski, Marek Giergiczny, Tomasz Zylicz, Knut Veisten, Marine Elbakidze, Per Angelstam (2017). Are bilateral conservation policies for the Białowieza forest\nunattainable? Analysis of stated preferences of Polish and Belarusian public. Journal of Forest Economics 27: 70-79"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(121:121))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(121:121))-1,5))","v":2017},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(121:121))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(121:121))-1,21))","v":"The reported values for this study are likely including a mix of non-use and use values, which unfortunately cannot be disentangled."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(121:121))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(121:121))-1,6))","v":"Natural forests"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(121:121))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(121:121))-1,7))","v":"Poland/Belarus"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(121:121))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(121:121))-1,8))","v":"Bialowieza"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(121:121))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(121:121))-1,9))","v":"choice experiment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(121:121))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(121:121))-1,10))","v":"transboundary"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(121:121))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(121:121))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(121:121))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(121:121))-1,12))","v":"1000 Belarusian sample\n1001 Polish sample"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(121:121))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(121:121))-1,16))","v":"euro 2015 PPP"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(121:121))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(121:121))-1,13))","v":"Polish sample:\n9.27 (WTP for increasing passive protection of the Bialowieza forest by 35km2)\n12.64 (WTP for increasing passive protection of the Bialowieza forest by 70km2)\n14.5 (WTP for increasing passive protection of the Bialowieza forest by 105km2)\nBelarusian sample:\n10.76 (WTP for increasing passive protection of the Bialowieza forest by 35km2)\n22.02 (WTP for increasing passive protection of the Bialowieza forest by 70km2)\n0 (WTP for increasing passive protection of the Bialowieza forest by 105km2)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(121:121))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(121:121))-1,14))","v":"euro 2015 PPP/annual/person"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(121:121))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(121:121))-1,15))","v":"2015-16"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(121:121))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(121:121))-1,17))","v":2015},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(121:121))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(121:121))-1,18))","v":"Annual increase in tax for the following 5 years"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(121:121))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(121:121))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(121:121))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(121:121))-1,20))","v":"Other variables controlled for in the study are: visitation to the Polish and Belarusian part of Bialowieza forest, gender of respondent."}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(122:122))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(122:122))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(122:122))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(122:122))-1,3))","v":"Non-use value production"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(122:122))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(122:122))-1,4))","v":"VALASIUK, S., MIKOŁAJ CZAJKOWSKI,\nMAREK GIERGICZNY, TOMASZ ŻYLICZ,\nKNUT VEISTEN, ASKILL HARKJERR HALSE,\nIRATXE LANDA MATA, MARINE ELBA KIDZE,\nPER ANGELSTAM (2017). IS FOREST LANDSCAPE RESTORATION SOCIALLY DESIRABLE? A DISCRETE CHOICE  EXPERIMENT APPLIED TO THE SCANDINAVIAN TRANSBOUNDARY FULUFJÄLLET NATIONAL PARK AREA. Working Paper\nNo. 10/2017 (239), University of Warsaw"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(122:122))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(122:122))-1,5))","v":2017},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(122:122))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(122:122))-1,21))","v":"The reported values for this study are likely including a mix of non-use and recreational use values, which unfortunately cannot be disentangled."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(122:122))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(122:122))-1,6))","v":"Natural forests"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(122:122))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(122:122))-1,7))","v":"Sweden/Norway"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(122:122))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(122:122))-1,8))","v":"Fulufjället National Park Area"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(122:122))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(122:122))-1,9))","v":"choice experiment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(122:122))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(122:122))-1,10))","v":"transboundary"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(122:122))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(122:122))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(122:122))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(122:122))-1,12))","v":"889 Sweden sample\n902 Norwegian sample"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(122:122))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(122:122))-1,16))","v":"euro 2015 PPP"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(122:122))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(122:122))-1,13))","v":"Swedesh sample:\n2.67 (WTP for increasing passive protection of the Fulufjället forest (Norwegian portion) by 20km2)\n3.39 (WTP for increasing passive protection of the Fulufjället forest (Norwegian portion) by 40km2)\n2.75 (WTP for increasing passive protection of the Fulufjället forest (Norwegian portion) by 60km2)\n12.41 (WTP for increasing passive protection of the Fulufjället forest (Swedish portion) by 20km2)\n15.87 (WTP for increasing passive protection of the Fulufjället forest (Swedish portion) by 40km2)\n16.40 (WTP for increasing passive protection of the Fulufjället forest (Swedish portion) by 60km2)\nNorwegian sample:\n13.48 (WTP for increasing passive protection of the Fulufjället forest (Norwegian portion) by 20km2)\n20.26 (WTP for increasing passive protection of the Fulufjället forest (Norwegian portion) by 40km2)\n2.75 (WTP for increasing passive protection of the Fulufjället forest (Norwegian portion) by 60km2)\n4.47 (WTP for increasing passive protection of the Fulufjället forest (Swedish portion) by 20km2)\n6.62 (WTP for increasing passive protection of the Fulufjället forest (Swedish portion) by 40km2)\n5.91 (WTP for increasing passive protection of the Fulufjället forest (Swedish portion) by 60km2)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(122:122))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(122:122))-1,14))","v":"euro 2015 PPP/annual/person"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(122:122))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(122:122))-1,15))","v":"2015-16"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(122:122))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(122:122))-1,17))","v":2015},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(122:122))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(122:122))-1,18))","v":"Annual increase in tax for the following 5 years"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(122:122))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(122:122))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(122:122))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(122:122))-1,20))","v":"Other variables controlled for in the study are: visitation to the Polish and Belarusian part of Bialowieza forest, gender of respondent."}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(123:123))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(123:123))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(123:123))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(123:123))-1,3))","v":"Non-use value production"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(123:123))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(123:123))-1,4))","v":"Varela, E., Jette Bredahl Jacobsen, Robert Mavsar (2017). Social demand for multiple beneﬁts provided by Aleppo pine forest management in Catalonia, Spain. Reg Environ Change 17:539-550"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(123:123))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(123:123))-1,5))","v":2017},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(123:123))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(123:123))-1,21))","v":"Value of biodiversity increase"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(123:123))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(123:123))-1,6))","v":"Aleppo pine forest values (biodiversity)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(123:123))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(123:123))-1,7))","v":"Spain"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(123:123))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(123:123))-1,8))","v":"Catalonia"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(123:123))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(123:123))-1,9))","v":"choice experiment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(123:123))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(123:123))-1,10))","v":"regional"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(123:123))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(123:123))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(123:123))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(123:123))-1,12))","v":410},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(123:123))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(123:123))-1,16))","v":"euro"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(123:123))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(123:123))-1,13))","v":"7.14  (WTP for each extra tree species) "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(123:123))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(123:123))-1,14))","v":"euro/ year/person"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(123:123))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(123:123))-1,15))","v":"yearly"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(123:123))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(123:123))-1,17))","v":2011},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(123:123))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(123:123))-1,18))","v":"Annual increase in regional tax"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(123:123))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(123:123))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(123:123))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(123:123))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(124:124))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(124:124))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(124:124))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(124:124))-1,3))","v":"Pharmaceuticals"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(124:124))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(124:124))-1,4))","v":"Amiri, N., Emadian, S.F., Fallah, A., Adeli, K., and Amirnejad, H. (2015. Estimation of conservation value of myrtle (Myrtus communis) using a contingent valuation method: a case study in a Dooreh forest area, Lorestan Province, Iran. Forest Ecosystems (2015) 2:30"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(124:124))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(124:124))-1,5))","v":2015},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(124:124))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(124:124))-1,21))","v":"The CV refers to a bundle of goods and services and the study does not allow to disentangle by value component. Apart from benefits to local economy (through pharmaceuticals) and benefits related to sustaining wider habitats, it is also likely that non-use values are considered by respondents "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(124:124))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(124:124))-1,6))","v":"Preservation of the myrtle, which is used as a medicinal plant and is also of value because it helps sustaining habitats in remote areas"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(124:124))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(124:124))-1,7))","v":"Iran"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(124:124))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(124:124))-1,8))","v":"Lorestan Province"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(124:124))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(124:124))-1,9))","v":"Contingent valuation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(124:124))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(124:124))-1,10))","v":"city"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(124:124))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(124:124))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(124:124))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(124:124))-1,12))","v":270},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(124:124))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(124:124))-1,16))","v":"Rials"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(124:124))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(124:124))-1,13))","v":"26,820 (average WTP for conservation of myrtle stands in Dooreh)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(124:124))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(124:124))-1,14))","v":"per household"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(124:124))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(124:124))-1,15))","v":"per month"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(124:124))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(124:124))-1,17))","v":"n.a."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(124:124))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(124:124))-1,18))","v":"n.a."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(124:124))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(124:124))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(124:124))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(124:124))-1,20))","v":"Variables controlled for: respondents' education, household size and monthly income. "}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(125:125))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(125:125))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(125:125))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(125:125))-1,3))","v":"Physical health"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(125:125))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(125:125))-1,4))","v":"Krupnick et al., (2002) \"Age, Health and the Willingness to Pay for\nMortality Risk Reductions: A Contingent Valuation\nSurvey of Ontario Residents\" The Journal of Risk and Uncertainty, 24:2; 161–186"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(125:125))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(125:125))-1,5))","v":2002},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(125:125))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(125:125))-1,21))","v":"willingness to pay is affected by mental health status and roughly 30 percent lower for people over 70"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(125:125))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(125:125))-1,6))","v":"Willingness to pay for reductions in mortality "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(125:125))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(125:125))-1,7))","v":"Canada"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(125:125))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(125:125))-1,8))","v":"Ontario"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(125:125))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(125:125))-1,9))","v":"Contingent valuation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(125:125))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(125:125))-1,10))","v":"Individual"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(125:125))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(125:125))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(125:125))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(125:125))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(125:125))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(125:125))-1,16))","v":"Dollars (Canadian)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(125:125))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(125:125))-1,13))","v":"C$l.2 to C$3.8 million "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(125:125))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(125:125))-1,14))","v":"mean wtp value of statistical life"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(125:125))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(125:125))-1,15))","v":"one off payment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(125:125))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(125:125))-1,17))","v":1999},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(125:125))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(125:125))-1,18))","v":"out of pocket payment for an environmental program "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(125:125))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(125:125))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(125:125))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(125:125))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(126:126))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(126:126))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(126:126))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(126:126))-1,3))","v":"Plant health"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(126:126))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(126:126))-1,4))","v":"Areal, F. J. and Mcloed, A. (2007) \"Estimating the economic value of trees at risk from a quarantine disease\" New approaches to the economics of plant health, volume 200, Wageningen UR Frontis Series"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(126:126))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(126:126))-1,5))","v":2007},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(126:126))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(126:126))-1,21))","v":"A double bounded CV method was used."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(126:126))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(126:126))-1,6))","v":"A diseases prevention plan to protect trees susceptible to sudden oak death "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(126:126))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(126:126))-1,7))","v":"UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(126:126))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(126:126))-1,8))","v":"North Yorkshire"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(126:126))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(126:126))-1,9))","v":"Contingent valuation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(126:126))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(126:126))-1,10))","v":"England"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(126:126))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(126:126))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(126:126))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(126:126))-1,12))","v":63},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(126:126))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(126:126))-1,16))","v":"pounds"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(126:126))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(126:126))-1,13))","v":55},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(126:126))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(126:126))-1,14))","v":"for the whole scheme"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(126:126))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(126:126))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(126:126))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(126:126))-1,17))","v":2006},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(126:126))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(126:126))-1,18))","v":"Taxes"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(126:126))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(126:126))-1,19))","v":"Digitally manipulated images were presented showing views of the English countryside with dead and dying trees, supposed to be infected with P. ramorum. Although susceptibility to infection may not be a good indicator of potential tree mortality due to P. ramorum, we assumed that P. ramorum could kill the ‘more susceptible’ hosts and that infected or dead trees and susceptible trees close by were felled and removed from woodlands to control the spread of the disease."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(126:126))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(126:126))-1,20))","v":"English "}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(127:127))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(127:127))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(127:127))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(127:127))-1,3))","v":"Plant health"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(127:127))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(127:127))-1,4))","v":"Meldrum, J.R. (2015). Comparing different attitude statements in latent class models of stated preferences for managing an invasive forest pathogen. Ecological Economics 120: 13-22."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(127:127))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(127:127))-1,5))","v":2015},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(127:127))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(127:127))-1,21))","v":"The value possibly includes a mix of use and non-use values, which unfortunately can not be disentangled in the study. Most likely the main component is non-use"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(127:127))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(127:127))-1,6))","v":"management of invasive, non-native pathogens causing lethal diseases in forests"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(127:127))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(127:127))-1,7))","v":"US"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(127:127))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(127:127))-1,8))","v":"western US"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(127:127))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(127:127))-1,9))","v":"contingent valuation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(127:127))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(127:127))-1,10))","v":"regional"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(127:127))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(127:127))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(127:127))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(127:127))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(127:127))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(127:127))-1,16))","v":"$"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(127:127))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(127:127))-1,13))","v":241.26},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(127:127))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(127:127))-1,14))","v":"$ per household"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(127:127))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(127:127))-1,15))","v":"one-off payment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(127:127))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(127:127))-1,17))","v":2010},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(127:127))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(127:127))-1,18))","v":"one-time payment for a program to enhance plant health"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(127:127))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(127:127))-1,19))","v":"Variables controlled for: quantity of acres with no pathogens (30%, 50% or 70%)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(127:127))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(127:127))-1,20))","v":"Other variables controlled for in the exercise include respondents' general and specific environmental attitudes and income"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(128:128))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(128:128))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(128:128))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(128:128))-1,3))","v":"Plant health"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(128:128))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(128:128))-1,4))","v":"Sheremet, O., John R. Healey, Christopher P. Quine and Nick Hanley (2017). Public Preferences and Willingness to Pay for Forest Disease Control in the UK. Journal of Agricultural Economics 68(3), 781-800"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(128:128))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(128:128))-1,5))","v":2017},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(128:128))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(128:128))-1,21))","v":"Generally, the values are classified as plant health values. Though, because plant health is likely to affect several production functions (recreation, non-use values, timber production, etc.), we report 'WTP value premiums' associated to the fact that invasive species can be particularly bad for some activities rather than others. "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(128:128))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(128:128))-1,6))","v":"control measures against invasive tree species "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(128:128))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(128:128))-1,7))","v":"UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(128:128))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(128:128))-1,8))","v":"-"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(128:128))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(128:128))-1,9))","v":"choice experiment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(128:128))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(128:128))-1,10))","v":"national"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(128:128))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(128:128))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(128:128))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(128:128))-1,12))","v":605},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(128:128))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(128:128))-1,16))","v":"£"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(128:128))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(128:128))-1,13))","v":"0£ (WTP for targeting invasive species in large woods with respect to individual trees)\n0£ (WTP for targeting invasive species in small woods with respect to individual trees)\n0£ (WTP for targeting invasive species in hedgerows with respect to individual trees)\n-7.3£ (WTP for adopting clear felling with respect to a combination of techniques to control for invasive species)\n0£ (WTP for adopting thinning with respect to a combination of techniques to control for invasive species)\n-6.2£ (WTP for adopting chemical/biocide with respect to a combination of techniques to control for invasive species)\n0£ (additional WTP if timber production versus carbon storage are especially badly affected by the disease)\n0£ (additional WTP if recreation versus carbon storage are especially badly affected by the disease)\n6.5£ (additional WTP if wildlife biodiversity versus carbon storage are especially badly affected by the disease)\n0£ (additional WTP if landscape views versus carbon storage are especially badly affected by the disease)\n"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(128:128))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(128:128))-1,14))","v":"£/household/year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(128:128))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(128:128))-1,15))","v":"annual"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(128:128))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(128:128))-1,17))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(128:128))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(128:128))-1,18))","v":"Annual tax for households"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(128:128))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(128:128))-1,19))","v":"Other characeristics of the good controlled for (but not reported in the value column) is the type of forest ownership."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(128:128))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(128:128))-1,20))","v":"Additional variables controlled for in the model: income, level of knowledge and understanding about invasive species (and their effects), frequency of forest visitation"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(129:129))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(129:129))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(129:129))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(129:129))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(129:129))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(129:129))-1,4))","v":"Abdullah, M., Mamat, M.P., Yaacob,  M.P.,  Radam, A., Fui, L.H. (2015). Estimate the conservation value of biodiversity in national heritage site: A case of Forest Research Institute Malaysia. Procedia Environmental Sciences 30 ( 2015 ) 180 – 185"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(129:129))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(129:129))-1,5))","v":2015},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(129:129))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(129:129))-1,21))","v":"No details on the valuation scenario presented to respondents, but in the introduction it is mentioned that biodiversity conservation provides benefits for recreation and education (probably also non-use values are relevant in this context, but they were not explicitly mentioned)  "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(129:129))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(129:129))-1,6))","v":"biodiversity conservation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(129:129))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(129:129))-1,7))","v":"Malaysia"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(129:129))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(129:129))-1,8))","v":"Forest Research Institute Malaysia"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(129:129))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(129:129))-1,9))","v":"Contingent valuation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(129:129))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(129:129))-1,10))","v":"national "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(129:129))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(129:129))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(129:129))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(129:129))-1,12))","v":410},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(129:129))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(129:129))-1,16))","v":"RM"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(129:129))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(129:129))-1,13))","v":"55.86 - 62.25 (median WTP)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(129:129))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(129:129))-1,14))","v":"WTP in RM"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(129:129))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(129:129))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(129:129))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(129:129))-1,17))","v":2014},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(129:129))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(129:129))-1,18))","v":"conservation fee"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(129:129))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(129:129))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(129:129))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(129:129))-1,20))","v":"Forest Research Institute Malaysia (FRIM) offers a variety of forest ecosystem services such as biodiversity conservation, recreation, ecotourism and nature-environmental education"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(130:130))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(130:130))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(130:130))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(130:130))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(130:130))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(130:130))-1,4))","v":"Bartczak, A. (2015). The role of social and environmental attitudes in non-market valuation\nAn application to the Białowieża Forest. Forest Policy and Economics 50 (2015) 357–365"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(130:130))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(130:130))-1,5))","v":2015},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(130:130))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(130:130))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(130:130))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(130:130))-1,6))","v":"restriction on number of visitors"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(130:130))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(130:130))-1,7))","v":"Poland"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(130:130))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(130:130))-1,8))","v":"local (Białowieża Forest)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(130:130))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(130:130))-1,9))","v":"choice experiment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(130:130))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(130:130))-1,10))","v":"local"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(130:130))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(130:130))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(130:130))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(130:130))-1,12))","v":741},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(130:130))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(130:130))-1,16))","v":"zł"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(130:130))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(130:130))-1,13))","v":"\n -23.10 (WTP to restrict number of visitors to up to 7500 per day)\n -10.19 (WTP to restrict the number of visitors to up to 5000 per day)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(130:130))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(130:130))-1,14))","v":"per household per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(130:130))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(130:130))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(130:130))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(130:130))-1,17))","v":2011},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(130:130))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(130:130))-1,18))","v":"annual tax"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(130:130))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(130:130))-1,19))","v":"Highly natural forest, where naturalness has suffered from pressures due to commercial timber logging, timber plantation and recreationists."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(130:130))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(130:130))-1,20))","v":"Additionally, environmental attitudes of respondents and altruism effects have been controlled for"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(131:131))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(131:131))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(131:131))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(131:131))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(131:131))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(131:131))-1,4))","v":"Butler, J. R. A., et al. (2009). \"Evaluating an ecosystem service provided by Atlantic salmon, sea trout and other fish species in the River Spey, Scotland: The economic impact of recreational rod fisheries.\" Fisheries Research 96(2-3): 259-266."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(131:131))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(131:131))-1,5))","v":2009},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(131:131))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(131:131))-1,21))","v":"also noted that fisheries contributed an estimated 420 full time equivalent jobs in the catchment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(131:131))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(131:131))-1,6))","v":"Recreational rod fishing"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(131:131))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(131:131))-1,7))","v":"Scotland"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(131:131))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(131:131))-1,8))","v":"River Spey Catchment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(131:131))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(131:131))-1,9))","v":"Anglers reported their daily expenditure, and the CogentSI model was used to derive multiplier effects."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(131:131))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(131:131))-1,10))","v":"River Catchment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(131:131))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(131:131))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(131:131))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(131:131))-1,12))","v":"31 fishery owners & 372 anglers"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(131:131))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(131:131))-1,16))","v":"pounds"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(131:131))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(131:131))-1,13))","v":12600000},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(131:131))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(131:131))-1,14))","v":"total value of fisheries contribution to household incomes"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(131:131))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(131:131))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(131:131))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(131:131))-1,17))","v":"1998-2002"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(131:131))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(131:131))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(131:131))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(131:131))-1,19))","v":"Length of river, fish species"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(131:131))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(131:131))-1,20))","v":"angler effort (days); angler characteristics (age, income, etc); angler expenditure (by fish species)"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(132:132))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(132:132))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(132:132))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(132:132))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(132:132))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(132:132))-1,4))","v":"Christie, M., et al. (2006). \"Valuing the diversity of biodiversity.\" Ecological Economics 58(2): 304-317."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(132:132))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(132:132))-1,5))","v":2006},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(132:132))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(132:132))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(132:132))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(132:132))-1,6))","v":"Changes in biodiversity on UK farmland"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(132:132))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(132:132))-1,7))","v":"UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(132:132))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(132:132))-1,8))","v":"Cambridgeshire and Northumberland"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(132:132))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(132:132))-1,9))","v":"Choice experiment valuing biodiversity attributes (familiar species of wildlife, rare unfamiliar species of wildlife, habitats, ecosystems)\nContingent Valuation of 3 biodiversity enhancing policies (agri-environment scheme, habitat re-creation & protection of biodiversity loss associated with a housing development)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(132:132))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(132:132))-1,10))","v":"regional"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(132:132))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(132:132))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(132:132))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(132:132))-1,12))","v":"343 survey respondents in Cambridgehire; 398 survey respndents in Northumberland"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(132:132))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(132:132))-1,16))","v":"pounds"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(132:132))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(132:132))-1,13))","v":"47.38 - 70.36\n34.67 - 50.27"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(132:132))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(132:132))-1,14))","v":"per household"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(132:132))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(132:132))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(132:132))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(132:132))-1,17))","v":2005},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(132:132))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(132:132))-1,18))","v":"Taxes: Annual increase in taxation over the next 5 years"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(132:132))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(132:132))-1,19))","v":"Choice Experiment: (familiar species of wildlife, rare unfamiliar species of wildlife, habitats, ecosystems)\n\nContingent Valuation study: public willingness to pay for biodiversity enhancements\nof species, species rarity, habitat, and ecosystem processes"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(132:132))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(132:132))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(133:133))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(133:133))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(133:133))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(133:133))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(133:133))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(133:133))-1,4))","v":"Czajkowski, M., Wiktor Budzinski, Danny Campbell,  Marek Giergiczny, Nick Hanley (2017). Spatial Heterogeneity ofWillingness to Pay for Forest Management. Environ Resource Econ (2017) 68:705–727"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(133:133))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(133:133))-1,5))","v":2017},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(133:133))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(133:133))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(133:133))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(133:133))-1,6))","v":"Tourist infrastructire in forests"},{"$f":"IF(ISERROR(INDEX('Master Data 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2'!$A$2:$A$219)),ROW(133:133))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(133:133))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(133:133))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(134:134))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(134:134))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(134:134))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(134:134))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(134:134))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(134:134))-1,4))","v":"Elberg Nielsen, A.S., Thomas Hedemark Lundhede, Jette Bredahl Jacobsen (2016). Local consequences of national policie - A spatial analysis of preferences for forest access reduction. Forest Policy and Economics 73: 68–77"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(134:134))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(134:134))-1,5))","v":2016},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(134:134))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(134:134))-1,21))","v":"Values are provided only for access to forest roads and paths but not for an increase in the population of threatened species or increase in population size of general wildlife species habitat"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(134:134))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(134:134))-1,6))","v":"Preferences for species and access"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(134:134))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(134:134))-1,7))","v":"Denmark"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(134:134))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(134:134))-1,8))","v":"national"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(134:134))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(134:134))-1,9))","v":"choice experiment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(134:134))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(134:134))-1,10))","v":"national"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(134:134))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(134:134))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(134:134))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(134:134))-1,12))","v":475},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(134:134))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(134:134))-1,16))","v":"DKK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(134:134))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(134:134))-1,13))","v":"n.a. for species (WTP for threathened species and general wildlife)\n68 - 574 (WTP to improve access to forest roads and paths)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(134:134))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(134:134))-1,14))","v":"per household per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(134:134))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(134:134))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(134:134))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(134:134))-1,17))","v":2005},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(134:134))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(134:134))-1,18))","v":"annual tax"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(134:134))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(134:134))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(134:134))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(134:134))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(135:135))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(135:135))-1,2))","v":"Environment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(135:135))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(135:135))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(135:135))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(135:135))-1,4))","v":"Giergiczny, M., Czajkowski, M., Żylicz, T., Angelstam, P. (2015). Choice experiment assessment of public preferences for forest structural attributes. Ecological Economics 119: 8-23."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(135:135))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(135:135))-1,5))","v":2015},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(135:135))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(135:135))-1,21))","v":"Not possible to distinguish between the value component linked to views and the one linked to biodiversity. Likely presence of non-use values as well "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(135:135))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(135:135))-1,6))","v":"Forest characteristics"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(135:135))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(135:135))-1,7))","v":"Poland"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(135:135))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(135:135))-1,8))","v":"national"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(135:135))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(135:135))-1,9))","v":"choice experiment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(135:135))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(135:135))-1,10))","v":"national"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(135:135))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(135:135))-1,11))","v":"Recreational users"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(135:135))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(135:135))-1,12))","v":1000},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(135:135))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(135:135))-1,16))","v":"km"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(135:135))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(135:135))-1,13))","v":"13.28 (WTT to move from coniferous to a mixed forest type with 2 species)\n18.25 (WTT to move from coniferous to a mixed forest type with 5 species)\n−10.96 (WTT to move from coniferous to a mixed forest type with 1 broadleaved species)\n4.42 (WTT to move from coniferous to a mixed forest type with 4 broadleaved species)\n11.33 (WTT for moving from stand age 40 to 70)\n22.36 (WTT for moving from stand age 40 to 100)\n3.63 (WTT for moving from even-aged to two aged forest)\n10.41 (WTT for moving from even-aged to uneven aged forest)\n4.82 (WTT for moving from no ground vegetation height to medium)\n−9.77 (WTT for moving from no ground vegetation height to high)\n3.44 (WTT for moving from regular tree spacing to quasi-regular)\n7.53 (WTT for moving from regular tree spacing to irregular)\n6.89 (WTT for moving from regular forest edges to irregular)\n0.57 (WTT for moving from regular forest edges to irregular and with ecotone)\n4.07 (WTT for moving from low to medium deadwood)\n−7.88 (WTT for moving from low to high deadwood)\n6.69 (WTT for moving from the same forest type and stand age to the same forest type but different stand age)\n18.36 (WTT for moving from the same forest type and stand age to different forest type and stand age)\n−0.62 (WTT for moving from none to medium residue from harvesting and thinning)\n−27.88 (WTT for moving from none to high residue from harvesting and thinning)\n3.88 (WTT for moving from no understory to medium)\n−8.56 (WTT for moving from no understory to high)\n−13.49 (WTT for moving from no silviculture to shelterwood)\n−29.05 (WTT for moving from no silviculture to seedtrees)\n−50.42 (WTT for moving from no silviculture to clearcutting)\n26.18 (WTT for moving from no tourist infrastructure to Picnic)\n34.68 (WTT for moving from no tourist infrastructure to having picnic sites and interpretative walking trails)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(135:135))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(135:135))-1,14))","v":"willingness to travel (WTT): the additional kilometers\n(one-way distance) that respondents would be willing to travel, on\naverage, to visit a forest with a given attribute level"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(135:135))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(135:135))-1,15))","v":2013},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(135:135))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(135:135))-1,17))","v":2013},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(135:135))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(135:135))-1,18))","v":"distance travelled"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(135:135))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(135:135))-1,19))","v":"Forest characteristics are the attributed of the choice experiment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(135:135))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(135:135))-1,20))","v":"Other variables controlled for: gender, education, age, visits, town, city, mushroom/berry picking activities, nature"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(136:136))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(136:136))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(136:136))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(136:136))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(136:136))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(136:136))-1,4))","v":"Häyhä, T., Franzese, P., Paletto, A., Fath, B.D. (2015). Assessing, valuing, and mapping ecosystem services in Alpine forests. Ecosystem Services 14: 12-23."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(136:136))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(136:136))-1,5))","v":2015},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(136:136))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(136:136))-1,21))","v":"This paper looked at different ecosystem services and provided a single value for each of them, so information was reported on the economic value of each of them separately. "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(136:136))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(136:136))-1,6))","v":"recreation linked to hunting and mushroom picking"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(136:136))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(136:136))-1,7))","v":"Italy"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(136:136))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(136:136))-1,8))","v":"Trentino"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(136:136))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(136:136))-1,9))","v":"price of hunting and mushroom picking permits"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(136:136))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(136:136))-1,10))","v":"regional"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(136:136))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(136:136))-1,11))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(136:136))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(136:136))-1,12))","v":"n.a. "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(136:136))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(136:136))-1,16))","v":"euro"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(136:136))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(136:136))-1,13))","v":"value of recreational hunting per ha per year:10\nvalue of recreational mushrooming: 6"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(136:136))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(136:136))-1,14))","v":"euro/ha/yr"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(136:136))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(136:136))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(136:136))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(136:136))-1,17))","v":"n.a."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(136:136))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(136:136))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(136:136))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(136:136))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(136:136))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(136:136))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(137:137))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(137:137))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(137:137))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(137:137))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(137:137))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(137:137))-1,4))","v":"Macmillan, D. C. and E. I. Duff (1998). \"Estimating the non-market costs and benefits of native woodland restoration using the contingent valuation method.\" Forestry 71(3): 247-259."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(137:137))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(137:137))-1,5))","v":1998},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(137:137))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(137:137))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(137:137))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(137:137))-1,6))","v":"Restoration of two native pine forests"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(137:137))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(137:137))-1,7))","v":"Scotland"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(137:137))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(137:137))-1,8))","v":"Affric and Strathspey"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(137:137))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(137:137))-1,9))","v":"Contingent Valuation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(137:137))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(137:137))-1,10))","v":"Regional"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(137:137))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(137:137))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(137:137))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(137:137))-1,12))","v":643},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(137:137))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(137:137))-1,16))","v":"GBP"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(137:137))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(137:137))-1,13))","v":"\n35 - 51\n53 - 69\n67 - 109"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(137:137))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(137:137))-1,14))","v":"per household\nAffric\nStrathspey\nBoth"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(137:137))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(137:137))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(137:137))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(137:137))-1,17))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(137:137))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(137:137))-1,18))","v":"Taxes"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(137:137))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(137:137))-1,19))","v":"Habitat for other flora, fauna and fungi"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(137:137))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(137:137))-1,20))","v":"Remote locations"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(138:138))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(138:138))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(138:138))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(138:138))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(138:138))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(138:138))-1,4))","v":"Horne, P., et al. (2005). \"Multiple-use management of forest recreation sites: a spatially explicit choice experiment.\" Forest Ecology and Management 207(1-2): 189-199."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(138:138))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(138:138))-1,5))","v":2005},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(138:138))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(138:138))-1,21))","v":"Hicksian compensating variation measure (Eq. (1)). For the sample as a whole, the resulting welfare change was a loss of EU 10.36. This negative welfare impact is due to the changes in management. Since the status quo is so strongly positive, any change in management would need to bring large benefits to compensate for the negative impact of moving away from the current situation. "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(138:138))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(138:138))-1,6))","v":"views & biodiversity at recreation sites near Helsinki"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(138:138))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(138:138))-1,7))","v":"Finland"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(138:138))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(138:138))-1,8))","v":"five outdoor recreation sites of Luukkaa, Pirttima¨ki, Vaakkoi, Salmi and Karjakaivo owned by the city of Helsinki."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(138:138))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(138:138))-1,9))","v":"Choice experiment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(138:138))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(138:138))-1,10))","v":"municipal"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(138:138))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(138:138))-1,11))","v":"Recreational users"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(138:138))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(138:138))-1,12))","v":"431 individuals"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(138:138))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(138:138))-1,16))","v":"euros"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(138:138))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(138:138))-1,13))","v":-10.36},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(138:138))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(138:138))-1,14))","v":"per household"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(138:138))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(138:138))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(138:138))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(138:138))-1,17))","v":2004},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(138:138))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(138:138))-1,18))","v":"municipal taxes"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(138:138))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(138:138))-1,19))","v":"scenery, biodiversity indices, species richness, "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(138:138))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(138:138))-1,20))","v":"forest management practices, costs of managemnet, site  facilities like camping areas, pathways, ski tracks,\nparking lots, and service cabin"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(139:139))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(139:139))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(139:139))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(139:139))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(139:139))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(139:139))-1,4))","v":"Varela, E., Jette Bredahl Jacobsen, Robert Mavsar (2017). Social demand for multiple beneﬁts provided by Aleppo pine forest management in Catalonia, Spain. Reg Environ Change 17:539-550"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(139:139))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(139:139))-1,5))","v":2017},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(139:139))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(139:139))-1,21))","v":"Value of recreational access increase"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(139:139))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(139:139))-1,6))","v":"Aleppo pine forest values (recreation)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(139:139))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(139:139))-1,7))","v":"Spain"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(139:139))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(139:139))-1,8))","v":"Catalonia"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(139:139))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(139:139))-1,9))","v":"choice experiment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(139:139))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(139:139))-1,10))","v":"regional"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(139:139))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(139:139))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(139:139))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(139:139))-1,12))","v":410},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(139:139))-1,16)),\"\",INDEX('Master Data 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2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(139:139))-1,15))","v":"yearly"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(139:139))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(139:139))-1,17))","v":2011},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(139:139))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(139:139))-1,18))","v":"Annual increase in regional tax"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(139:139))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(139:139))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(139:139))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(139:139))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(140:140))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(140:140))-1,2))","v":"Flora_Fauna"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(140:140))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(140:140))-1,3))","v":"Spiritual and cultural"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(140:140))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(140:140))-1,4))","v":"Christie, M., et al. (2006). \"Valuing the diversity of biodiversity.\" Ecological Economics 58(2): 304-317."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(140:140))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(140:140))-1,5))","v":2006},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(140:140))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(140:140))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(140:140))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(140:140))-1,6))","v":"changes in biodiversity on UK farmland"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(140:140))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(140:140))-1,7))","v":"UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(140:140))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(140:140))-1,8))","v":"Cambridgeshire and Northumberland"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(140:140))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(140:140))-1,9))","v":"Choice experiment valuing biodiversity attributes (familiar species of wildlife, rare unfamiliar species of wildlife, habitats, ecosystems)\nContingent Valuation of 3 biodiversity enhancing policies (agri-environment scheme, habitat re-creation & protection of biodiversity loss associated with a housing development)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(140:140))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(140:140))-1,10))","v":"regional"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(140:140))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(140:140))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(140:140))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(140:140))-1,12))","v":"343 survey respondents in Cambridgehire; 398 survey respndents in Northumberland"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(140:140))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(140:140))-1,16))","v":"pounds"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(140:140))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(140:140))-1,13))","v":"47.38 - 70.36\n34.67 - 50.27"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(140:140))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(140:140))-1,14))","v":"per household"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(140:140))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(140:140))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(140:140))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(140:140))-1,17))","v":2005},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(140:140))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(140:140))-1,18))","v":"annual increase in taxation over the next 5 years"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(140:140))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(140:140))-1,19))","v":"Choice Experiment: (familiar species of wildlife, rare unfamiliar species of wildlife, habitats, ecosystems)\n\nContingent Valuation study: public willingness to pay for biodiversity enhancements\nof species, species rarity, habitat, and ecosystem processes"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(140:140))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(140:140))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(141:141))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(141:141))-1,2))","v":"Timber"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(141:141))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(141:141))-1,3))","v":"Food - subsistence"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(141:141))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(141:141))-1,4))","v":"Schaafsma, M., et al. (2012). \"Towards transferable functions for extraction of Non-timber Forest Products: A case study on charcoal production in Tanzania.\" Ecological Economics 80: 48-62."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(141:141))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(141:141))-1,5))","v":2012},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(141:141))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(141:141))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(141:141))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(141:141))-1,6))","v":"Non-timber forest product - Charcoal"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(141:141))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(141:141))-1,7))","v":"Tanzania"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(141:141))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(141:141))-1,8))","v":"East Arc Mountains"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(141:141))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(141:141))-1,9))","v":"Production function method"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(141:141))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(141:141))-1,10))","v":"East Arc Mountains"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(141:141))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(141:141))-1,11))","v":"Non-timber extractors"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(141:141))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(141:141))-1,12))","v":"1100 observations from 45 villages"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(141:141))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(141:141))-1,16))","v":"US Dollars"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(141:141))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(141:141))-1,13))","v":14000000},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(141:141))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(141:141))-1,14))","v":"Total value"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(141:141))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(141:141))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(141:141))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(141:141))-1,17))","v":2010},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(141:141))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(141:141))-1,18))","v":"Market prices"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(141:141))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(141:141))-1,19))","v":"Land-use and land cover"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(141:141))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(141:141))-1,20))","v":"Varying prices of charcoal across the region.\nDistance from market."}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(142:142))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(142:142))-1,2))","v":"Timber"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(142:142))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(142:142))-1,3))","v":"Food - subsistence"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(142:142))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(142:142))-1,4))","v":"Schaafsma, M., et al. (2014). \"The importance of local forest benefits: Economic valuation of Non-Timber Forest Products in the Eastern Arc Mountains in Tanzania.\" Global Environmental Change-Human and Policy Dimensions 24: 295-305."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(142:142))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(142:142))-1,5))","v":2014},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(142:142))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(142:142))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(142:142))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(142:142))-1,6))","v":"Non-timber forest product - Charcoal, firewood, poles and thatch"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(142:142))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(142:142))-1,7))","v":"Tanzania"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(142:142))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(142:142))-1,8))","v":"East Arc Mountains"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(142:142))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(142:142))-1,9))","v":"Production function method"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(142:142))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(142:142))-1,10))","v":"East Arc Mountains"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(142:142))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(142:142))-1,11))","v":"Non-timber extractors"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(142:142))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(142:142))-1,12))","v":"2000 observations from 60 villages"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(142:142))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(142:142))-1,16))","v":"US Dollars"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(142:142))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(142:142))-1,13))","v":42000000},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(142:142))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(142:142))-1,14))","v":"Total value"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(142:142))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(142:142))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(142:142))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(142:142))-1,17))","v":2010},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(142:142))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(142:142))-1,18))","v":"Market prices"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(142:142))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(142:142))-1,19))","v":"Land-use and land cover"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(142:142))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(142:142))-1,20))","v":"Varying prices of charcoal across the region.\nDistance from market."}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(143:143))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(143:143))-1,2))","v":"Timber"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(143:143))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(143:143))-1,3))","v":"Housing services"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(143:143))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(143:143))-1,4))","v":"Soares, A. L., et al. (2011). \"Benefits and costs of street trees in Lisbon, Portugal.\" Urban Forestry & Urban Greening 10(2): 69-78."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(143:143))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(143:143))-1,5))","v":2011},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(143:143))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(143:143))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(143:143))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(143:143))-1,6))","v":"$1 invested in 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2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(143:143))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(143:143))-1,10))","v":"City"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(143:143))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(143:143))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(143:143))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(143:143))-1,12))","v":"3033 trees"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(143:143))-1,16)),\"\",INDEX('Master Data 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2'!$A$2:$A$219)),ROW(143:143))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(143:143))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(143:143))-1,17))","v":2004},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(143:143))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(143:143))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(143:143))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(143:143))-1,19))","v":"Species, diameter, condition, pruning and management needs etc. \nTree growth data from the US reference cities was used but Lisbon data was used as input into the numerical models to calculate tree benefits."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(143:143))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(143:143))-1,20))","v":"Location"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(144:144))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(144:144))-1,2))","v":"Timber"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(144:144))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(144:144))-1,3))","v":"Industrial and commercial production with timber inputs"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(144:144))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(144:144))-1,4))","v":"Forest Enterprise England (2016). Natural capital accounts 2015-16. "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(144:144))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(144:144))-1,5))","v":2016},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(144:144))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(144:144))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(144:144))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(144:144))-1,6))","v":"Timber production"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(144:144))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(144:144))-1,7))","v":"England"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(144:144))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(144:144))-1,8))","v":"national"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(144:144))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(144:144))-1,9))","v":"market value"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(144:144))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(144:144))-1,10))","v":"national"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(144:144))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(144:144))-1,11))","v":"Governments or industry"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(144:144))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(144:144))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(144:144))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(144:144))-1,16))","v":"£"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(144:144))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(144:144))-1,13))","v":"7.335m"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(144:144))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(144:144))-1,14))","v":"£/year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(144:144))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(144:144))-1,15))","v":"2015-16"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(144:144))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(144:144))-1,17))","v":"2015-16"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(144:144))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(144:144))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(144:144))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(144:144))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(144:144))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(144:144))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(145:145))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(145:145))-1,2))","v":"Timber"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(145:145))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(145:145))-1,3))","v":"Industrial and commercial production with timber inputs"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(145:145))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(145:145))-1,4))","v":"Häyhä, T., Franzese, P., Paletto, A., Fath, B.D. (2015). Assessing, valuing, and mapping ecosystem services in Alpine forests. Ecosystem Services 14: 12-23."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(145:145))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(145:145))-1,5))","v":2015},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(145:145))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(145:145))-1,21))","v":"This paper looked at different ecosystem services and provided a single value for each of them, so information was reported on the economic value of each of them separately. "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(145:145))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(145:145))-1,6))","v":"timber, wood chips, firewood"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(145:145))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(145:145))-1,7))","v":"Italy"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(145:145))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(145:145))-1,8))","v":"Trentino"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(145:145))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(145:145))-1,9))","v":"market value"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(145:145))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(145:145))-1,10))","v":"regional"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(145:145))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(145:145))-1,11))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(145:145))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(145:145))-1,12))","v":"n.a. "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(145:145))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(145:145))-1,16))","v":"euro"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(145:145))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(145:145))-1,13))","v":"value of timber per ha per yeat: 218\nvalue of wood chips per ha per year: 4\nvalue of firewood per ha per year: 9"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(145:145))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(145:145))-1,14))","v":"euro/ha/yr"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(145:145))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(145:145))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(145:145))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(145:145))-1,17))","v":2010},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(145:145))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(145:145))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(145:145))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(145:145))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(145:145))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(145:145))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(146:146))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(146:146))-1,2))","v":"Timber"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(146:146))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(146:146))-1,3))","v":"Industrial and commercial production with timber inputs"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(146:146))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(146:146))-1,4))","v":"Holt, A. and Rouquette, J. (2017). The quantification and valuation of the environmental, social and economic impacts of the Forest of Marston Vale. 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From failure to value: economic valuation for a selected set of products and services from Mediterranean forests. 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[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(149:149))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(149:149))-1,2))","v":"Soil"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(149:149))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(149:149))-1,3))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(149:149))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(149:149))-1,4))","v":"Häyhä, T., Franzese, P., Paletto, A., Fath, B.D. (2015). Assessing, valuing, and mapping ecosystem services in Alpine forests. Ecosystem Services 14: 12-23."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(149:149))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(149:149))-1,5))","v":2015},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(149:149))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(149:149))-1,21))","v":"This paper looked at different ecosystem services and provided a single value for each of them, so information was reported on the economic value of each of them separately. "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(149:149))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(149:149))-1,6))","v":"hydrogeological protection"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(149:149))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(149:149))-1,7))","v":"Italy"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(149:149))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(149:149))-1,8))","v":"Trentino"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(149:149))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(149:149))-1,9))","v":"replacement cost"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(149:149))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(149:149))-1,10))","v":"regional"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(149:149))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(149:149))-1,11))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(149:149))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(149:149))-1,12))","v":"n.a. "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(149:149))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(149:149))-1,16))","v":"euro"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(149:149))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(149:149))-1,13))","v":"value of hydrogeological protection per ha per year: 328"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(149:149))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(149:149))-1,14))","v":"euro/ha/yr"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(149:149))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(149:149))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(149:149))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(149:149))-1,17))","v":2011},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(149:149))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(149:149))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(149:149))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(149:149))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(149:149))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(149:149))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(150:150))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(150:150))-1,2))","v":"Views"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(150:150))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(150:150))-1,3))","v":"Housing"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(150:150))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(150:150))-1,4))","v":"Garrod, G., et al. (2009). \"Assessing the value of forest landscapes: A choice experiment approach.\" Arboricultural Journal 32(3): 189-211."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(150:150))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(150:150))-1,5))","v":2009},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(150:150))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(150:150))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(150:150))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 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households"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(150:150))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(150:150))-1,16))","v":"pounds"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(150:150))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(150:150))-1,13))","v":226.56},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(150:150))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(150:150))-1,14))","v":"per household"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(150:150))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(150:150))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(150:150))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(150:150))-1,17))","v":2002},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(150:150))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(150:150))-1,18))","v":"annual cost of living"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(150:150))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(150:150))-1,19))","v":"planting factors, landscape factors, 33 forest landscapes investigated"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(150:150))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(150:150))-1,20))","v":"recreational access to the view; annual cost ofliving in the area; council tax; cost of travelling to wok; rent"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(151:151))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(151:151))-1,2))","v":"Views"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(151:151))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(151:151))-1,3))","v":"Housing services"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(151:151))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(151:151))-1,4))","v":"Chen, T., Swallow, S., Johnston, R. (2015). Farm versus Forest: physical scarcity and the roel of non-convex preferences in the valuation of open-space. Paper presented at the 2015 Agricultural and  Applied Economics Association and Western Agricultural Economics Association Annual Meeting, San Francisco, CA, July 26-28 2015"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(151:151))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(151:151))-1,5))","v":2015},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(151:151))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(151:151))-1,21))","v":"No specification for the temporal scale of the payment, so it is not known if WTP is per year, per month, etc."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(151:151))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(151:151))-1,6))","v":"Amount of forest area preserved"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(151:151))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(151:151))-1,7))","v":"Rhode Island"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(151:151))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(151:151))-1,8))","v":"Richmond,\nLittle Compton,\nMiddletown,\nPortsmouth"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(151:151))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(151:151))-1,9))","v":"Choice Experiment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(151:151))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(151:151))-1,10))","v":"Town/City"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(151:151))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(151:151))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(151:151))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(151:151))-1,12))","v":"n.a. "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(151:151))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(151:151))-1,16))","v":"$"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(151:151))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(151:151))-1,13))","v":"7.73 - 9.26 (value of each extra acre of forest preserves)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(151:151))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(151:151))-1,14))","v":"$/household/acre"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(151:151))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(151:151))-1,15))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(151:151))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(151:151))-1,17))","v":2015},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(151:151))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(151:151))-1,18))","v":"household tax"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(151:151))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(151:151))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(151:151))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(151:151))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(152:152))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(152:152))-1,2))","v":"Views"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(152:152))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(152:152))-1,3))","v":"Housing services"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(152:152))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(152:152))-1,4))","v":"Holt, A. and Rouquette, J. (2017). The quantification and valuation of the environmental, social and economic impacts of the Forest of Marston Vale. Report prepared for:\nThe Forest of Marston Vale, March 2017"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(152:152))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(152:152))-1,5))","v":2017},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(152:152))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(152:152))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(152:152))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(152:152))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 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2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(152:152))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(152:152))-1,10))","v":"local"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(152:152))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(152:152))-1,11))","v":"General population"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(152:152))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(152:152))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(152:152))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(152:152))-1,16))","v":"£"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(152:152))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(152:152))-1,13))","v":"734 (WTP for a woodland view on the urban fringe)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(152:152))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(152:152))-1,14))","v":"annual/per household"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(152:152))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 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[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(153:153))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(153:153))-1,2))","v":"Views"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(153:153))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(153:153))-1,3))","v":"Housing services"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(153:153))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(153:153))-1,4))","v":"Tyrväinen, L. and A. Miettinen (2000). \"Property Prices and Urban Forest Amenities.\" Journal of Environmental Economics and Management 39(2): 205-223."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(153:153))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(153:153))-1,5))","v":2000},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(153:153))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(153:153))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(153:153))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(153:153))-1,6))","v":"Relative increase in house price for those houses with a view of urban forest"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(153:153))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(153:153))-1,7))","v":"Finland"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(153:153))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(153:153))-1,8))","v":"Salo"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(153:153))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 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2'!$A$2:$A$219)),ROW(153:153))-1,12))","v":590},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(153:153))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(153:153))-1,16))","v":"Finnish Markka"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(153:153))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(153:153))-1,13))","v":4.9000000000000002E-2},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(153:153))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(153:153))-1,14))","v":"Relative percentage increase in house price for those houses with a view of urban forest"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(153:153))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(153:153))-1,15))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(153:153))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(153:153))-1,17))","v":1983},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(153:153))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(153:153))-1,18))","v":"House prices"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(153:153))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(153:153))-1,19))","v":"Type of forest (mixed, pine, coniferous), maturity of the forest."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(153:153))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(153:153))-1,20))","v":"Distance"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(154:154))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(154:154))-1,2))","v":"Views"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(154:154))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(154:154))-1,3))","v":"Mental health"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(154:154))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(154:154))-1,4))","v":"Smith, D. M., Damschroder, S. Y. H., and Ubel, P. A., (20120)What's It Worth? Public Willingness to Pay to Avoid Mental Illnesses Compared With General Medical Illnesses, Psychiatric Services 2012 63:4, 319-324 "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(154:154))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(154:154))-1,5))","v":2012},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(154:154))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(154:154))-1,21))","v":"The payment vehicle may raise issues of credibility\nThe study is for the US and needs to be altered to transfer to UK populations\nDemographic characterstics were included in the survey and could be used to aid benefit transfer.\nDepression is broadly defined and appears open to interpretation by respondents."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(154:154))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(154:154))-1,6))","v":"Willingness to pay to avoid mental illness"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(154:154))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(154:154))-1,7))","v":"US"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(154:154))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(154:154))-1,8))","v":"National"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(154:154))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(154:154))-1,9))","v":"Stated preference "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(154:154))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(154:154))-1,10))","v":"Individual"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(154:154))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(154:154))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(154:154))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(154:154))-1,12))","v":710},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(154:154))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(154:154))-1,16))","v":"Dollars (US)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(154:154))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(154:154))-1,13))","v":76.900000000000006},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(154:154))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(154:154))-1,14))","v":"to avoid depression"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(154:154))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(154:154))-1,15))","v":"per monthly  "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(154:154))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(154:154))-1,17))","v":2006},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(154:154))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(154:154))-1,18))","v":"Out of pocket"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(154:154))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(154:154))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(154:154))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(154:154))-1,20))","v":"US"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(155:155))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(155:155))-1,2))","v":"Views"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(155:155))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(155:155))-1,3))","v":"Physical health"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(155:155))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(155:155))-1,4))","v":"Krupnick et al., (2002) \"Age, Health and the Willingness to Pay for\nMortality Risk Reductions: A Contingent Valuation\nSurvey of Ontario Residents\" The Journal of Risk and Uncertainty, 24:2; 161–186"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(155:155))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(155:155))-1,5))","v":2002},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(155:155))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(155:155))-1,21))","v":"willingness to pay is affected by mental health status and roughly 30 percent lower for people over 70"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(155:155))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(155:155))-1,6))","v":"Willingness to pay for reductions in mortality "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(155:155))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(155:155))-1,7))","v":"Canada"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(155:155))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(155:155))-1,8))","v":"Ontario"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(155:155))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(155:155))-1,9))","v":"Contingent valuation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(155:155))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(155:155))-1,10))","v":"Individual"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(155:155))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(155:155))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(155:155))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(155:155))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(155:155))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(155:155))-1,16))","v":"Dollars (Canadian)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(155:155))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(155:155))-1,13))","v":"C$l.2 to C$3.8 million "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(155:155))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(155:155))-1,14))","v":"mean wtp value of statistical life"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(155:155))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(155:155))-1,15))","v":"one off payment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(155:155))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(155:155))-1,17))","v":1999},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(155:155))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(155:155))-1,18))","v":"out of pocket payment for an environmental program "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(155:155))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(155:155))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(155:155))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(155:155))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(156:156))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(156:156))-1,2))","v":"Views"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(156:156))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(156:156))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(156:156))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(156:156))-1,4))","v":"Häyhä, T., Franzese, P., Paletto, A., Fath, B.D. (2015). Assessing, valuing, and mapping ecosystem services in Alpine forests. Ecosystem Services 14: 12-23."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(156:156))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(156:156))-1,5))","v":2015},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(156:156))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(156:156))-1,21))","v":"This paper looked at different ecosystem services and provided a single value for each of them, so information was reported on the economic value of each of them separately. "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(156:156))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(156:156))-1,6))","v":"recreational appreciation of landscale views"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(156:156))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(156:156))-1,7))","v":"Italy"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(156:156))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(156:156))-1,8))","v":"Trentino"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(156:156))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(156:156))-1,9))","v":"benefit transfer"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(156:156))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(156:156))-1,10))","v":"regional"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(156:156))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(156:156))-1,11))","v":"Recreational users"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(156:156))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(156:156))-1,12))","v":"n.a. "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(156:156))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(156:156))-1,16))","v":"euro"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(156:156))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(156:156))-1,13))","v":"value of recreation per ha per year: 77"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(156:156))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(156:156))-1,14))","v":"euro/ha/yr"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(156:156))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(156:156))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(156:156))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(156:156))-1,17))","v":2002},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(156:156))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(156:156))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(156:156))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(156:156))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(156:156))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(156:156))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(157:157))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(157:157))-1,2))","v":"Views"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(157:157))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(157:157))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(157:157))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(157:157))-1,4))","v":"Molina, J.R., Francisco Rodrıguez y Silva, Miguel Angel Herrera (2016). Integrating economic landscape valuation into Mediterranean territorial planning. Environmental Science and Policy 56: 120-128"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(157:157))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(157:157))-1,5))","v":2016},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(157:157))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(157:157))-1,21))","v":"The WTP value likely also includes the benefits associated by non-timber products (mushrooms, chestnuts, etc.), in addition to views. But landscape scenery seems to be the main driver of value, even though no description is provided of each landscape class."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(157:157))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(157:157))-1,6))","v":"value of landscape typologies"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(157:157))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(157:157))-1,7))","v":"Spain"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(157:157))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(157:157))-1,8))","v":"Andalusia"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(157:157))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(157:157))-1,9))","v":"contingent valuation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(157:157))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(157:157))-1,10))","v":"regional"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(157:157))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(157:157))-1,11))","v":"Recreational users"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(157:157))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(157:157))-1,12))","v":493},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(157:157))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(157:157))-1,16))","v":"euros"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(157:157))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(157:157))-1,13))","v":"8.87 - 25.84 (landscape quality 1)\n7.1 - 20.68 (Landscape quality 2)\n6.08 - 17.70 (Landscape quality 3)\n5.06 - 14.75 (Landscape quality 4)\n4.21 - 12.28 (Landscape quality 5)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(157:157))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(157:157))-1,14))","v":"euros/ha"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(157:157))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(157:157))-1,15))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(157:157))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(157:157))-1,17))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(157:157))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(157:157))-1,18))","v":"entrance fee "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(157:157))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(157:157))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(157:157))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(157:157))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(158:158))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(158:158))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(158:158))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(158:158))-1,3))","v":"Drinking water"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(158:158))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(158:158))-1,4))","v":"Abildtrup, J., S. Garcia, and A. Stenger (2013): \"The Effect of Forest Land Use on the Cost of Drinking Water Supply: A Spatial Econometric Analysis,\" Ecological Economics, 92, 126-136."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(158:158))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(158:158))-1,5))","v":2013},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(158:158))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(158:158))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(158:158))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(158:158))-1,6))","v":"Improvements in quality of raw water drinking supply from one hectare of forest"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(158:158))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(158:158))-1,7))","v":"France"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(158:158))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(158:158))-1,8))","v":"Vosges"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(158:158))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(158:158))-1,9))","v":"Cost model with spatial autocorrelation and lagged dependent variables"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(158:158))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(158:158))-1,10))","v":"Municipalities by Water Supply System"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(158:158))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(158:158))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(158:158))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(158:158))-1,12))","v":232},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(158:158))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(158:158))-1,16))","v":"euro"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(158:158))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(158:158))-1,13))","v":98.93},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(158:158))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(158:158))-1,14))","v":"per household per ha"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(158:158))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(158:158))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(158:158))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(158:158))-1,17))","v":2008},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(158:158))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(158:158))-1,18))","v":"water prices"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(158:158))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(158:158))-1,19))","v":"Average Water Supply System, average drinking water volume 104,676 m3, average WSS area 2165 ha. Does not differentiate by type of forest."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(158:158))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(158:158))-1,20))","v":"average water price of 1.08 euro per m3. Taxes and fees are excluded from the cost. Controls for proportion of forest, urban and other, area, density of users, altitude, water volume, number of municipalities served, altitude, type of intake and whether it is a privately owned operation. As well as spatial error components and lagged variables."}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(159:159))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(159:159))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(159:159))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(159:159))-1,3))","v":"Drinking water"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(159:159))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(159:159))-1,4))","v":"Fiquepron, J., S. Garcia, and A. Stenger (2013): \"Land Use Impact on Water Quality: Valuing Forest Services in Terms of the Water Supply Sector,\" Journal of Environmental Management, 126, 113-121."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(159:159))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(159:159))-1,5))","v":2013},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(159:159))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(159:159))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(159:159))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(159:159))-1,6))","v":"Impact of forest on quality of water (nitrates and treatment for pesticides)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(159:159))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(159:159))-1,7))","v":"France"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(159:159))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(159:159))-1,8))","v":"National"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(159:159))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(159:159))-1,9))","v":"Cost model (GMM with instruments)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(159:159))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(159:159))-1,10))","v":"National"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(159:159))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(159:159))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(159:159))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(159:159))-1,12))","v":"93 departments"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(159:159))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(159:159))-1,16))","v":"euro"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(159:159))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(159:159))-1,13))","v":22},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(159:159))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(159:159))-1,14))","v":"per household per ha"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(159:159))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(159:159))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(159:159))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(159:159))-1,17))","v":2004},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(159:159))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(159:159))-1,18))","v":"water bill"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(159:159))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(159:159))-1,19))","v":"Water quality – averaged over four years to avoid climatic influences.Does not differentiate by type of forest."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(159:159))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(159:159))-1,20))","v":"Taxes and fees are excluded from the cost. Controls for proportion of forest, urban and other, area, density of users, water volume, underground water resources, resident to total population ratio, water quality measured by nitrate concentration and pesticides through the proportion of water requiring treatment."}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(160:160))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(160:160))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(160:160))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(160:160))-1,3))","v":"Drinking water"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(160:160))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(160:160))-1,4))","v":"Hanley, N., R. E. Wright, and B. Alvarez-Farizo (2006): \"Estimating the Economic Value of Improvements in River Ecology Using Choice Experiments: An Application to the Water Framework Directive,\" Journal of Environmental Management, 78, 183-193."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(160:160))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(160:160))-1,5))","v":2006},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(160:160))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(160:160))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(160:160))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(160:160))-1,6))","v":"three components of ecological status as defined by the Water Framework Directive (ecology – course fish, water plants, insects and birds, aesthetics – sewage and litter, river banks with trees)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(160:160))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(160:160))-1,7))","v":"UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(160:160))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(160:160))-1,8))","v":"County Durham and Central Scotland"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(160:160))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(160:160))-1,9))","v":"Choice experiment RP Logit analysis"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(160:160))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(160:160))-1,10))","v":"River"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(160:160))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(160:160))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(160:160))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(160:160))-1,12))","v":420},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(160:160))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(160:160))-1,16))","v":"pounds"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(160:160))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(160:160))-1,13))","v":" \n18.19 [2.75], \n15.68 [2.62],\n19.57 [2.83]."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(160:160))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(160:160))-1,14))","v":"per household:\necology from fair to good using RP Logit\naesthetics fair to good\nbanksides fair to good"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(160:160))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(160:160))-1,15))","v":"one off payment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(160:160))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(160:160))-1,17))","v":2001},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(160:160))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(160:160))-1,18))","v":"water bill"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(160:160))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(160:160))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(160:160))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(160:160))-1,20))","v":"UK\nThe river location was an important factor for the value, values were not transferable between rivers (tested using a Wald test) for the ecology, aesthetics and banksides."}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(161:161))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(161:161))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(161:161))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(161:161))-1,3))","v":"Drinking water"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(161:161))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(161:161))-1,4))","v":"Häyhä, T., Franzese, P., Paletto, A., Fath, B.D. (2015). Assessing, valuing, and mapping ecosystem services in Alpine forests. Ecosystem Services 14: 12-23."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(161:161))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(161:161))-1,5))","v":2015},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(161:161))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(161:161))-1,21))","v":"This paper looked at different ecosystem services and provided a single value for each of them, so information was reported on the economic value of each of them separately. "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(161:161))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(161:161))-1,6))","v":"freshwater"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(161:161))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(161:161))-1,7))","v":"Italy"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(161:161))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(161:161))-1,8))","v":"Trentino"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(161:161))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(161:161))-1,9))","v":"market value"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(161:161))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(161:161))-1,10))","v":"regional"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(161:161))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(161:161))-1,11))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(161:161))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(161:161))-1,12))","v":"n.a. "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(161:161))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(161:161))-1,16))","v":"euro"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(161:161))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(161:161))-1,13))","v":"value of fresh water per ha per year: 75"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(161:161))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(161:161))-1,14))","v":"euro/ha/yr"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(161:161))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(161:161))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(161:161))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(161:161))-1,17))","v":"n.a."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(161:161))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(161:161))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(161:161))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(161:161))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(161:161))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(161:161))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(162:162))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(162:162))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(162:162))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(162:162))-1,3))","v":"Drinking water"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(162:162))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(162:162))-1,4))","v":"Soares, A. L., et al. (2011). \"Benefits and costs of street trees in Lisbon, Portugal.\" Urban Forestry & Urban Greening 10(2): 69-78."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(162:162))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(162:162))-1,5))","v":2011},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(162:162))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(162:162))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(162:162))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(162:162))-1,6))","v":"$1 invested in tree management"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(162:162))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(162:162))-1,7))","v":"Portugal"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(162:162))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(162:162))-1,8))","v":"Lisbon"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(162:162))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(162:162))-1,9))","v":"i-Tree"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(162:162))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(162:162))-1,10))","v":"City"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(162:162))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(162:162))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(162:162))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(162:162))-1,12))","v":"3033 trees"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(162:162))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(162:162))-1,16))","v":"Dollars (US)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(162:162))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(162:162))-1,13))","v":"4.48\n0.33\n6.16\n204.45"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(162:162))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(162:162))-1,14))","v":"per $1 invested in woodland\nper tree in CO2 savings\nper tree in energy savings\ntotal (for the woodland of 3033 trees)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(162:162))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(162:162))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(162:162))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(162:162))-1,17))","v":2004},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(162:162))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(162:162))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(162:162))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(162:162))-1,19))","v":"Species, diameter, condition, location, pruning and management needs etc. \nTree growth data from the US reference cities was used but Lisbon data was used as input into the numerical models to calculate tree benefits."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(162:162))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(162:162))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(163:163))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(163:163))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(163:163))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(163:163))-1,3))","v":"Drinking water"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(163:163))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(163:163))-1,4))","v":"Zapata, S. D., H. M. Benavides, C. E. Carpio, and D. B. Willis (2012): \"The Economic Value of Basin Protection to Improve the Quality and Reliability of Potable Water Supply: The Case of Loja, Ecuador,\" Water Policy, 14, 1-13."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(163:163))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(163:163))-1,5))","v":2012},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(163:163))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(163:163))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(163:163))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(163:163))-1,6))","v":"Basin management plan involving purchasing land in micro-basins for reforestation, protection and management to improve water quality and quantity."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(163:163))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(163:163))-1,7))","v":"Ecuador"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(163:163))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(163:163))-1,8))","v":"Loja"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(163:163))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(163:163))-1,9))","v":"Contingent Valuation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(163:163))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(163:163))-1,10))","v":"Basin"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(163:163))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(163:163))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(163:163))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(163:163))-1,12))","v":100},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(163:163))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(163:163))-1,16))","v":"Dollars (US)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(163:163))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(163:163))-1,13))","v":5.8},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(163:163))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(163:163))-1,14))","v":"per household for the plan"},{"$f":"IF(ISERROR(INDEX('Master Data 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2'!$A$2:$A$219)),ROW(163:163))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(163:163))-1,19))","v":"Basin management plan for individuals on the water supply system.  \nPurchase and management of land in micro basin, reforestation plan\n"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(163:163))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(163:163))-1,20))","v":"Additional charge on water bill. Loja, Ecuador "}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(164:164))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(164:164))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(164:164))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(164:164))-1,3))","v":"Drinking water"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(164:164))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(164:164))-1,4))","v":"ADAS and Eftec (2014). The Feasibility of Valuing Woodlands’ Contribution to Regulating Water Quality and Quantity, Report to Forestry Commission, Edinburgh."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(164:164))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(164:164))-1,5))","v":2014},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(164:164))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(164:164))-1,21))","v":"No values provided.  This document discusses the feasibility of valuing the contribution of woodlands to water quality and quantity."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(164:164))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(164:164))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(164:164))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(164:164))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(164:164))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(164:164))-1,8))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(164:164))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(164:164))-1,9))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(164:164))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(164:164))-1,10))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(164:164))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(164:164))-1,11))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(164:164))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(164:164))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(164:164))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(164:164))-1,16))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(164:164))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(164:164))-1,13))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(164:164))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(164:164))-1,14))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(164:164))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(164:164))-1,15))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(164:164))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(164:164))-1,17))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(164:164))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(164:164))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(164:164))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(164:164))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(164:164))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(164:164))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(165:165))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(165:165))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(165:165))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(165:165))-1,3))","v":"Drinking water"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(165:165))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(165:165))-1,4))","v":"Eftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. 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[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(166:166))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(166:166))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(166:166))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(166:166))-1,3))","v":"Drinking water"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(166:166))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(166:166))-1,4))","v":"Europe Economics (2015): \"The Economic Benefits of Woodland,\" A report for the Woodland Trust, London, UK. https://www.woodlandtrust.org.uk/publications/2015/03/the-economic-benefits-of-woodland/"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(166:166))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(166:166))-1,5))","v":2015},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(166:166))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(166:166))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(166:166))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 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[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(167:167))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(167:167))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(167:167))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(167:167))-1,3))","v":"Drinking water"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(167:167))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(167:167))-1,4))","v":"Morris, J. and M. Camino (2011). \"Economic Assessment of Freshwater, Wetland and Floodplain (FWF) Ecosystem Services \" UK NEA Economics Analysis, Freshwaters."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(167:167))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(167:167))-1,5))","v":2011},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(167:167))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(167:167))-1,21))","v":"No values provided.  This document discusses the feasibility of valuing the contribution of woodlands to water quality and quantity."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(167:167))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(167:167))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(167:167))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(167:167))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(167:167))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(167:167))-1,8))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(167:167))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(167:167))-1,9))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(167:167))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(167:167))-1,10))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(167:167))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(167:167))-1,11))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(167:167))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(167:167))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(167:167))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(167:167))-1,16))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(167:167))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(167:167))-1,13))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(167:167))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(167:167))-1,14))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(167:167))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(167:167))-1,15))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(167:167))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(167:167))-1,17))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(167:167))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(167:167))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(167:167))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(167:167))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(167:167))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(167:167))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(168:168))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(168:168))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(168:168))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(168:168))-1,3))","v":"Drinking water"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(168:168))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(168:168))-1,4))","v":"Willis, K. G. (2002): \"Social & Environmental Benefits of Forestry Phase 2: Benefits and Costs of Forests to Water Supply and Water Quality,\" Report to Forestry Commission, Edinburgh. http://www.forestry.gov.uk/pdf/water3.pdf/$FILE/water3.pdf"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(168:168))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(168:168))-1,5))","v":2002},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(168:168))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(168:168))-1,21))","v":"No values provided.  This document discusses the feasibility of valuing the contribution of woodlands to water quality and quantity."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(168:168))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(168:168))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(168:168))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(168:168))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(168:168))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(168:168))-1,8))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(168:168))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(168:168))-1,9))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(168:168))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(168:168))-1,10))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(168:168))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(168:168))-1,11))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(168:168))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(168:168))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(168:168))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(168:168))-1,16))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(168:168))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(168:168))-1,13))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(168:168))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(168:168))-1,14))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(168:168))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(168:168))-1,15))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(168:168))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(168:168))-1,17))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(168:168))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(168:168))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(168:168))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(168:168))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(168:168))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(168:168))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(169:169))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(169:169))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(169:169))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(169:169))-1,3))","v":"Food - agriculture and fisheries"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(169:169))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(169:169))-1,4))","v":"Butler, J. R. A., et al. (2009). \"Evaluating an ecosystem service provided by Atlantic salmon, sea trout and other fish species in the River Spey, Scotland: The economic impact of recreational rod fisheries.\" Fisheries Research 96(2-3): 259-266."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(169:169))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(169:169))-1,5))","v":2009},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(169:169))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(169:169))-1,21))","v":"also noted that fisheries contributed an estimated 420 full time equivalent jobs in the catchment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(169:169))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(169:169))-1,6))","v":"Recreational rod fishing"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(169:169))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(169:169))-1,7))","v":"Scotland"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(169:169))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(169:169))-1,8))","v":"River Spey Catchment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(169:169))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(169:169))-1,9))","v":"Anglers reported their daily expenditure, and the CogentSI model was used to derive multiplier effects."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(169:169))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(169:169))-1,10))","v":"River Catchment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(169:169))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(169:169))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(169:169))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(169:169))-1,12))","v":"31 fishery owners & 372 anglers"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(169:169))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(169:169))-1,16))","v":"pounds"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(169:169))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(169:169))-1,13))","v":12600000},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(169:169))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(169:169))-1,14))","v":"total value of fisheries contribution to household incomes"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(169:169))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(169:169))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(169:169))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(169:169))-1,17))","v":"1998-2002"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(169:169))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(169:169))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(169:169))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(169:169))-1,19))","v":"Length of river, fish species"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(169:169))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(169:169))-1,20))","v":"angler effort (days); angler characteristics (age, income, etc); angler expenditure (by fish species)"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(170:170))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(170:170))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(170:170))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(170:170))-1,3))","v":"Housing services"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(170:170))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(170:170))-1,4))","v":"Loomis, J., et al. (2000). \"Measuring the total economic value of restoring ecosystem services in an impaired river basin: results from a contingent valuation survey.\" Ecological Economics 33(1): 103-117."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(170:170))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(170:170))-1,5))","v":2000},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(170:170))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(170:170))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(170:170))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(170:170))-1,6))","v":"Dilution of wastewater,\nNatural purification of water,\nErosion control,\nHabitat for fish and wildlife."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(170:170))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(170:170))-1,7))","v":"US"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(170:170))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(170:170))-1,8))","v":"Near Denver Colorado "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(170:170))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(170:170))-1,9))","v":"Contingent Valuation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(170:170))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(170:170))-1,10))","v":"South Platte river basin"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(170:170))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(170:170))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(170:170))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(170:170))-1,12))","v":96},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(170:170))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(170:170))-1,16))","v":"Dollars (US)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(170:170))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(170:170))-1,13))","v":21},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(170:170))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(170:170))-1,14))","v":"per household"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(170:170))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(170:170))-1,15))","v":"per month"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(170:170))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(170:170))-1,17))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(170:170))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(170:170))-1,18))","v":"Water bill"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(170:170))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(170:170))-1,19))","v":"Conservation zone along a river with restoration of native vegetation."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(170:170))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(170:170))-1,20))","v":"Removal of grazing\nReduction in the water allocated for agriculture"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(171:171))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(171:171))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(171:171))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(171:171))-1,3))","v":"Physical health"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(171:171))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(171:171))-1,4))","v":"Krupnick et al., (2002) \"Age, Health and the Willingness to Pay for\nMortality Risk Reductions: A Contingent Valuation\nSurvey of Ontario Residents\" The Journal of Risk and Uncertainty, 24:2; 161–186"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(171:171))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(171:171))-1,5))","v":2002},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(171:171))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(171:171))-1,21))","v":"willingness to pay is affected by mental health status and roughly 30 percent lower for people over 70"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(171:171))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(171:171))-1,6))","v":"Willingness to pay for reductions in mortality "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(171:171))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(171:171))-1,7))","v":"Canada"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(171:171))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(171:171))-1,8))","v":"Ontario"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(171:171))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(171:171))-1,9))","v":"Contingent valuation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(171:171))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(171:171))-1,10))","v":"Individual"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(171:171))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(171:171))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(171:171))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(171:171))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(171:171))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(171:171))-1,16))","v":"Dollars (Canadian)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(171:171))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(171:171))-1,13))","v":"C$l.2 to C$3.8 million "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(171:171))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(171:171))-1,14))","v":"mean wtp value of statistical life"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(171:171))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(171:171))-1,15))","v":"one off payment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(171:171))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(171:171))-1,17))","v":1999},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(171:171))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(171:171))-1,18))","v":"out of pocket payment for an environmental program "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(171:171))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(171:171))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(171:171))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(171:171))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(172:172))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(172:172))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(172:172))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(172:172))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(172:172))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(172:172))-1,4))","v":"Metcalfe, P. J., et al. (2012), An assessment of the nonmarket benefits of the Water Framework Directive for households in England and Wales, Water Resour. Res., 48, W03526, doi:10.1029/2010WR009592."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(172:172))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(172:172))-1,5))","v":2012},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(172:172))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(172:172))-1,21))","v":"Values per household per year per km2 were estimated in the model and are reported in the paper.  For region specific values please refer to the paper. "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(172:172))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(172:172))-1,6))","v":"Improvements in water quality measured in percentage changes from local and national high and low levels linked to WFD status"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(172:172))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(172:172))-1,7))","v":"UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(172:172))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(172:172))-1,8))","v":"National"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(172:172))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(172:172))-1,9))","v":"Stated preference methods: CV and discrete choice experiment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(172:172))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(172:172))-1,10))","v":"Regional"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(172:172))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(172:172))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(172:172))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(172:172))-1,12))","v":"1487 respondents"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(172:172))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(172:172))-1,16))","v":"pounds"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(172:172))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(172:172))-1,13))","v":"2,263 - 39,168"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(172:172))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(172:172))-1,14))","v":"per region"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(172:172))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(172:172))-1,15))","v":"per km2"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(172:172))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(172:172))-1,17))","v":2007},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(172:172))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(172:172))-1,18))","v":"water bill"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(172:172))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(172:172))-1,19))","v":"water quality level relartive to local and national high and low values"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(172:172))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(172:172))-1,20))","v":"income, gender, nationality, children at home, pollution, environmental club membership, education"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(173:173))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(173:173))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(173:173))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(173:173))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(173:173))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(173:173))-1,4))","v":"Butler, J. R. A., et al. (2009). \"Evaluating an ecosystem service provided by Atlantic salmon, sea trout and other fish species in the River Spey, Scotland: The economic impact of recreational rod fisheries.\" Fisheries Research 96(2-3): 259-266."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(173:173))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(173:173))-1,5))","v":2009},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(173:173))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(173:173))-1,21))","v":"also noted that fisheries contributed an estimated 420 full time equivalent jobs in the catchment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(173:173))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(173:173))-1,6))","v":"Recreational rod fishing"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(173:173))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(173:173))-1,7))","v":"Scotland"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(173:173))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(173:173))-1,8))","v":"River Spey Catchment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(173:173))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(173:173))-1,9))","v":"Anglers reported their daily expenditure, and the CogentSI model was used to derive multiplier effects."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(173:173))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(173:173))-1,10))","v":"River Catchment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(173:173))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(173:173))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(173:173))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(173:173))-1,12))","v":"31 fishery owners & 372 anglers"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(173:173))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(173:173))-1,16))","v":"pounds"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(173:173))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(173:173))-1,13))","v":12600000},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(173:173))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(173:173))-1,14))","v":"total value of fisheries contribution to household incomes"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(173:173))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(173:173))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(173:173))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(173:173))-1,17))","v":"1998-2002"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(173:173))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(173:173))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(173:173))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(173:173))-1,19))","v":"Length of river, fish species"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(173:173))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(173:173))-1,20))","v":"angler effort (days); angler characteristics (age, income, etc); angler expenditure (by fish species)"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(174:174))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(174:174))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(174:174))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(174:174))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(174:174))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(174:174))-1,4))","v":"Kreye, M. M., Adams, D. C., & Escobedo, F. J. (2014). The Value of Forest Conservation for Water Quality Protection. Forests, 5(5), 862-884."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(174:174))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(174:174))-1,5))","v":2014},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(174:174))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(174:174))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(174:174))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(174:174))-1,6))","v":"non-specific programs to protect water quality in lakes"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(174:174))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(174:174))-1,7))","v":"US"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(174:174))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(174:174))-1,8))","v":"Water body"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(174:174))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(174:174))-1,9))","v":"Meta-analysis of wtp values: studies include open ended CV, payment card, dichotomous choice, iterative bidding, and attribute choice experiment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(174:174))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(174:174))-1,10))","v":"Lake"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(174:174))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(174:174))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(174:174))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(174:174))-1,12))","v":"43 studies"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(174:174))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(174:174))-1,16))","v":"dollars (US)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(174:174))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(174:174))-1,13))","v":"264.72–317.70"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(174:174))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(174:174))-1,14))","v":"per household"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(174:174))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(174:174))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(174:174))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(174:174))-1,17))","v":2010},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(174:174))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(174:174))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(174:174))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(174:174))-1,19))","v":"River or lake, study year, survey method, region of US (binary for southern states), watershed and whether the protection was at a single site or multiple"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(174:174))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(174:174))-1,20))","v":"type of conservation instrument (tool), aquatic resource type, geographic context, spatial scale, time, and household income"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(175:175))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(175:175))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(175:175))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(175:175))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(175:175))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(175:175))-1,4))","v":"Ferrini, S., Schaafsma, M., & Bateman, I. (2014). Revealed and stated preference valuation and transfer: A within‐sample comparison of water quality improvement values. Water Resources Research, 50(6), 4746-4759. "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(175:175))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(175:175))-1,5))","v":2014},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(175:175))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(175:175))-1,21))","v":"This paper provides a novel approach to valuation which allows the authors to compare the results of contingent valuation (payment card and dichotomous choice) and travel cost methods.  The paper also presents benefit transfer results using North and South regions in the study are and explores the relative transfer errors produced when using wtp values estimated using each method."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(175:175))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(175:175))-1,6))","v":"improvement in quality of 5k river stretch from poor to good status"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(175:175))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(175:175))-1,7))","v":"UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(175:175))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(175:175))-1,8))","v":"Humber catchment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(175:175))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(175:175))-1,9))","v":"Stated preference: Contingent valuation using payment card and dichotomous choice\nRevealed preference: Travel cost method"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(175:175))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(175:175))-1,10))","v":"5km river stretches"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(175:175))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(175:175))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(175:175))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(175:175))-1,12))","v":"1759 respondents\n84 river stretches\n26 sampling locations"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(175:175))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(175:175))-1,16))","v":"pounds"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(175:175))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(175:175))-1,13))","v":"mean: 10.02, CI: 3.47 - 19.33\nmean: 27.19, CI: 9.98 - 59.58\nmean: 20.16, CI: 0.00 - 91.54"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(175:175))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(175:175))-1,14))","v":"per individual"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(175:175))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(175:175))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(175:175))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(175:175))-1,17))","v":2008},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(175:175))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(175:175))-1,18))","v":"water bill\nwater bill\ntravel cost"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(175:175))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(175:175))-1,19))","v":"river quality status based on water quality ladder (wfd based), 5 km river stretch"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(175:175))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(175:175))-1,20))","v":"gender, age, income, household size, distances to river and substitutes"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(176:176))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(176:176))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(176:176))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(176:176))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(176:176))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(176:176))-1,4))","v":"Green, C. H. and S. M. Tunstall (1991). \"The Evaluation of River Water-Quality Improvements by the Contingent Valuation Method.\" Applied Economics 23(7): 1135-1146."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(176:176))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(176:176))-1,5))","v":1991},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(176:176))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(176:176))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(176:176))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(176:176))-1,6))","v":"river water quality to support recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(176:176))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(176:176))-1,7))","v":"UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(176:176))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(176:176))-1,8))","v":"England & Wales"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(176:176))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(176:176))-1,9))","v":"contingent valuation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(176:176))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(176:176))-1,10))","v":"river recreation site"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(176:176))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(176:176))-1,11))","v":"Recreational users"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(176:176))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(176:176))-1,12))","v":"386 visitors to river corridors"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(176:176))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(176:176))-1,16))","v":"pounds\npounds\npounds"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(176:176))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(176:176))-1,13))","v":"0.51\n0.60\n0.52"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(176:176))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(176:176))-1,14))","v":" per person ( water quality good enough for water birds)\nper person (water quality good enough to support many fish)\nper person (water quality good enough for children to play safely)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(176:176))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(176:176))-1,15))","v":"per month\nper month\nper month"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(176:176))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(176:176))-1,17))","v":"1987\n1987\n1987"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(176:176))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(176:176))-1,18))","v":"increase in water rates"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(176:176))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(176:176))-1,19))","v":"foam, smell, debris, presence of (supposed) expert users, biota\n\nquality categories were developed: good enough for water birds; good enough to support many fish; good enough for children to play safely"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(176:176))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(176:176))-1,20))","v":"average household water rates, socioeconomic data"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(177:177))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(177:177))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(177:177))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(177:177))-1,3))","v":"Recreation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(177:177))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(177:177))-1,4))","v":"Johnstone, C. and A. Markandya (2006). \"Valuing river characteristics using combined site choice and participation travel cost models.\" Journal of Environmental Management 80(3): 237-247."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(177:177))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(177:177))-1,5))","v":2006},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(177:177))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(177:177))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(177:177))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(177:177))-1,6))","v":"river water quality in English rivers"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(177:177))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(177:177))-1,7))","v":"England"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(177:177))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(177:177))-1,8))","v":"selected rivers"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(177:177))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(177:177))-1,9))","v":"travel cost methods"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(177:177))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(177:177))-1,10))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(177:177))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(177:177))-1,11))","v":"Recreational users"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(177:177))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(177:177))-1,12))","v":"421 individuals"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(177:177))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(177:177))-1,16))","v":"pounds"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(177:177))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(177:177))-1,13))","v":"0.04 - 3.93"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(177:177))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(177:177))-1,14))","v":"per visitor"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(177:177))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(177:177))-1,15))","v":"per trip"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(177:177))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(177:177))-1,17))","v":2001},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(177:177))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(177:177))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(177:177))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(177:177))-1,19))","v":"chemical, biological, habitat-level attributes; type of river (lowland, upland, chalk), flow rates, nutrient pollution"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(177:177))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(177:177))-1,20))","v":"travel cost data, age, income, employment, etc"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(178:178))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(178:178))-1,2))","v":"Water_Quantity"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(178:178))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(178:178))-1,3))","v":"Artistic production"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(178:178))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(178:178))-1,4))","v":"Willis, K. G., Garrod, G., Scarpa, R., Powe, N., Lovett, A., Bateman, I. J., ... & Macmillan, D. C. (2003). The social and environmental benefits of forests in Great Britain. Forestry Commission, Edinburgh."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(178:178))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(178:178))-1,5))","v":2003},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(178:178))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(178:178))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(178:178))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(178:178))-1,6))","v":"water is lost to abstraction for potable uses"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(178:178))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(178:178))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(178:178))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(178:178))-1,8))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(178:178))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(178:178))-1,9))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(178:178))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(178:178))-1,10))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(178:178))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(178:178))-1,11))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(178:178))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(178:178))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(178:178))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(178:178))-1,16))","v":"pounds"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(178:178))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(178:178))-1,13))","v":"0.13 - 1.24"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(178:178))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(178:178))-1,14))","v":"per m3 of water lost to abstraction for potable uses"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(178:178))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(178:178))-1,15))","v":"per m3"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(178:178))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(178:178))-1,17))","v":2001},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(178:178))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(178:178))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(178:178))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(178:178))-1,19))","v":"LRMC reported by OFWAT"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(178:178))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(178:178))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(179:179))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(179:179))-1,2))","v":"Water_Quantity"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(179:179))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(179:179))-1,3))","v":"Drinking water"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(179:179))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(179:179))-1,4))","v":"Zapata, S. D., H. M. Benavides, C. E. Carpio, and D. B. Willis (2012): \"The Economic Value of Basin Protection to Improve the Quality and Reliability of Potable Water Supply: The Case of Loja, Ecuador,\" Water Policy, 14, 1-13."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(179:179))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(179:179))-1,5))","v":2012},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(179:179))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(179:179))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(179:179))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(179:179))-1,6))","v":"Basin management plan involving purchasing land in micro-basins for reforestation, protection and management to improve water quality and quantity."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(179:179))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(179:179))-1,7))","v":"Ecuador"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(179:179))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(179:179))-1,8))","v":"Loja"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(179:179))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 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2'!$A$2:$A$219)),ROW(179:179))-1,12))","v":100},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(179:179))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(179:179))-1,16))","v":"Dollars (US)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(179:179))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(179:179))-1,13))","v":5.8},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(179:179))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(179:179))-1,14))","v":"per household for the plan"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(179:179))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(179:179))-1,15))","v":"per month"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(179:179))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(179:179))-1,17))","v":2005},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(179:179))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(179:179))-1,18))","v":"Water bill"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(179:179))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(179:179))-1,19))","v":"Basin management plan for individuals on the water supply system.  \nPurchase and management of land in micro basin, reforestation plan\n"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(179:179))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(179:179))-1,20))","v":"Additional charge on water bill. Loja, Ecuador "}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(180:180))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(180:180))-1,2))","v":"Water_Quantity"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(180:180))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(180:180))-1,3))","v":"Drinking water"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(180:180))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(180:180))-1,4))","v":"Núñez, D., Nahuelhual, L., & Oyarzún, C. (2006). Forests and water: The value of native temperate forests in supplying water for human consumption. Ecological Economics, 58(3), 606-616"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(180:180))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(180:180))-1,5))","v":2006},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(180:180))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(180:180))-1,21))","v":"The reported average value is calculated by CSERGE (2015) from the summer value of USD 162.4 and rest of the year value of USD 61.2 per ha reported in Nunez et al., (2006). "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(180:180))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(180:180))-1,6))","v":"supply of water for abstraction"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(180:180))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(180:180))-1,7))","v":"Chile"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(180:180))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(180:180))-1,8))","v":"Llancahue watershed"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(180:180))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(180:180))-1,9))","v":"change in productivity method using market price of drinking water (averaged to 0.35 US dollars (2003)) per m3 multiplied by marginal change in productivity (including stream water and energy inputs)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(180:180))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(180:180))-1,10))","v":"Watershed"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(180:180))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(180:180))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(180:180))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(180:180))-1,12))","v":"107 observations"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(180:180))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(180:180))-1,16))","v":"dollars (US)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(180:180))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(180:180))-1,13))","v":86.5},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(180:180))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(180:180))-1,14))","v":"per hectare "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(180:180))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(180:180))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(180:180))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(180:180))-1,17))","v":2004},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(180:180))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(180:180))-1,18))","v":"market price of drinking water"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(180:180))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(180:180))-1,19))","v":"quantity of water available for abstraction"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(180:180))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(180:180))-1,20))","v":"season, market price of drinking water, stream water input, energy input"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(181:181))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(181:181))-1,2))","v":"Water_Quantity"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(181:181))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(181:181))-1,3))","v":"Drinking water"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(181:181))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(181:181))-1,4))","v":"ADAS and Eftec (2014). The Feasibility of Valuing Woodlands’ Contribution to Regulating Water Quality and Quantity, Report to Forestry Commission, Edinburgh."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(181:181))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(181:181))-1,5))","v":2014},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(181:181))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(181:181))-1,21))","v":"No values provided.  This document discusses the feasibility of valuing the contribution of woodlands to water quality and quantity."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(181:181))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(181:181))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(181:181))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(181:181))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(181:181))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(181:181))-1,8))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(181:181))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(181:181))-1,9))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(181:181))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(181:181))-1,10))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(181:181))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(181:181))-1,11))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(181:181))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(181:181))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(181:181))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(181:181))-1,16))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(181:181))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(181:181))-1,13))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(181:181))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(181:181))-1,14))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(181:181))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(181:181))-1,15))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(181:181))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(181:181))-1,17))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(181:181))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(181:181))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(181:181))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(181:181))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(181:181))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(181:181))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(182:182))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(182:182))-1,2))","v":"Water_Quantity"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(182:182))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(182:182))-1,3))","v":"Drinking water"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(182:182))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(182:182))-1,4))","v":"Eftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(182:182))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(182:182))-1,5))","v":2011},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(182:182))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(182:182))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(182:182))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(182:182))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(182:182))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(182:182))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(182:182))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(182:182))-1,8))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(182:182))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(182:182))-1,9))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(182:182))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(182:182))-1,10))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(182:182))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(182:182))-1,11))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(182:182))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(182:182))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(182:182))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(182:182))-1,16))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(182:182))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(182:182))-1,13))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(182:182))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(182:182))-1,14))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(182:182))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(182:182))-1,15))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(182:182))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(182:182))-1,17))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(182:182))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(182:182))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(182:182))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(182:182))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(182:182))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(182:182))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(183:183))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(183:183))-1,2))","v":"Water_Quantity"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(183:183))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(183:183))-1,3))","v":"Drinking water"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(183:183))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(183:183))-1,4))","v":"Moran, D. and S. Dann (2008). \"The economic value of water use: Implications for implementing the Water Framework Directive in Scotland.\" Journal of Environmental Management 87(3): 484-496."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(183:183))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(183:183))-1,5))","v":2008},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(183:183))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(183:183))-1,21))","v":"Not a primary valuation study - instead reports values from secondary data sources to derive economic values for water on a sector basis. "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(183:183))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(183:183))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(183:183))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(183:183))-1,7))","v":"Scotland"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(183:183))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(183:183))-1,8))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(183:183))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(183:183))-1,9))","v":"Review & Synthesis"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(183:183))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(183:183))-1,10))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(183:183))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(183:183))-1,11))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(183:183))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(183:183))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(183:183))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(183:183))-1,16))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(183:183))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(183:183))-1,13))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(183:183))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(183:183))-1,14))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(183:183))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(183:183))-1,15))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(183:183))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(183:183))-1,17))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(183:183))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(183:183))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(183:183))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(183:183))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(183:183))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(183:183))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(184:184))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(184:184))-1,2))","v":"Water_Quantity"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(184:184))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(184:184))-1,3))","v":"Drinking water"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(184:184))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(184:184))-1,4))","v":"Willis, K. G., Garrod, G., Scarpa, R., Powe, N., Lovett, A., Bateman, I. J., ... & Macmillan, D. C. (2003). The social and environmental benefits of forests in Great Britain. Forestry Commission, Edinburgh."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(184:184))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(184:184))-1,5))","v":2003},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(184:184))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(184:184))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(184:184))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(184:184))-1,6))","v":"water is lost to abstraction for potable uses"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(184:184))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(184:184))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(184:184))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(184:184))-1,8))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(184:184))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(184:184))-1,9))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(184:184))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(184:184))-1,10))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(184:184))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(184:184))-1,11))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(184:184))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(184:184))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(184:184))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(184:184))-1,16))","v":"pounds"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(184:184))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(184:184))-1,13))","v":"0.13 - 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The quantification and valuation of the environmental, social and economic impacts of the Forest of Marston Vale. Report prepared for:\nThe Forest of Marston Vale, March 2017"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(185:185))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(185:185))-1,5))","v":2017},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(185:185))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(185:185))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(185:185))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(185:185))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(185:185))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(185:185))-1,7))","v":"England"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(185:185))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(185:185))-1,8))","v":"Marston Vale"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(185:185))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(185:185))-1,9))","v":"Reduction in annual fluvial flood expenditure (£). 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2'!$A$2:$A$219)),ROW(186:186))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(186:186))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(186:186))-1,17))","v":2004},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(186:186))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(186:186))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(186:186))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(186:186))-1,19))","v":"Species, diameter, condition, pruning and management needs etc. \nTree growth data from the US reference cities was used but Lisbon data was used as input into the numerical models to calculate tree benefits."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(186:186))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(186:186))-1,20))","v":"Location"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(187:187))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(187:187))-1,2))","v":"Water_Quantity"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(187:187))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(187:187))-1,3))","v":"Flood alleviation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(187:187))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(187:187))-1,4))","v":"Dixon, G. and Pettit, A. (2017). Flood management and woodland creation - Southwell Case Study. Hydraulic modelling and economic appraisal report. Report prepared for the Forestry Commission "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(187:187))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(187:187))-1,5))","v":2017},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(187:187))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(187:187))-1,21))","v":"Avoided costs estimations based on secondary literature"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(187:187))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(187:187))-1,6))","v":"flood risk reduction linked to woodland creation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(187:187))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(187:187))-1,7))","v":"UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(187:187))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(187:187))-1,8))","v":"Southwell (Nottinghamshire)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(187:187))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(187:187))-1,9))","v":"avoided costs"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(187:187))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(187:187))-1,10))","v":"town"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(187:187))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(187:187))-1,11))","v":"residential property owners"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(187:187))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(187:187))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(187:187))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(187:187))-1,16))","v":"pounds"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(187:187))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(187:187))-1,13))","v":"£286/household/year (value of avoiding health and wellbeing impacts of fluvial flooding)\n£774.80/property (value of avoiding indirect dry-out costs)\n£3,100/property (valued of avoiding costs in terms of vehicle losses) "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(187:187))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(187:187))-1,14))","v":"per household/year\nper property"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(187:187))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(187:187))-1,15))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(187:187))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(187:187))-1,17))","v":"2013\n2005\n2013"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(187:187))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(187:187))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(187:187))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(187:187))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(187:187))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(187:187))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(188:188))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(188:188))-1,2))","v":"Water_Quantity"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(188:188))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(188:188))-1,3))","v":"Flood alleviation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(188:188))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(188:188))-1,4))","v":"Mutch et al. (2017). Understanding the value of Southampton’s urban trees. Results of the 2016 i-Tree Eco survey. University of Southampton, Forest Research, Treeconomics and Southampton City Council. Southampton. 81pp. ISBN 978-0-85432-004-2."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(188:188))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(188:188))-1,5))","v":2017},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(188:188))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(188:188))-1,21))","v":"Water intercepted by urban trees is estimated to be 95 million litres of every year. The value of reduced water runoff is based on  ‘avoided charges’ sewerage cost to Water compannies"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(188:188))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(188:188))-1,6))","v":"Water interception by urban trees can reduce flood risks"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(188:188))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(188:188))-1,7))","v":"UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(188:188))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(188:188))-1,8))","v":"Southampton "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(188:188))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(188:188))-1,9))","v":"i-Tree"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(188:188))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(188:188))-1,10))","v":"urban"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(188:188))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(188:188))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(188:188))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(188:188))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(188:188))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(188:188))-1,16))","v":"GBP"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(188:188))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(188:188))-1,13))","v":"142894 (value of reduced water runoff due to water interception by urban trees)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(188:188))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(188:188))-1,14))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(188:188))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(188:188))-1,15))","v":2016},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(188:188))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(188:188))-1,17))","v":2016},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(188:188))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(188:188))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(188:188))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(188:188))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(188:188))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(188:188))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(189:189))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(189:189))-1,2))","v":"Water_Quantity"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(189:189))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(189:189))-1,3))","v":"Flood alleviation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(189:189))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(189:189))-1,4))","v":"Moffat et al. (2017). Petersfield’s trees - their importance and value. Results of the i-Tree Eco survey. Report to East Hampshire District Council, South Downs National Park Authority and Petersfield Town Council. The Petersfield Society, Petersfield."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(189:189))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(189:189))-1,5))","v":2017},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(189:189))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(189:189))-1,21))","v":"Water intercepted by urban trees is estimated to be 12.8 million litres every year. The value of reduced water runoff is based on  ‘avoided charges’ sewerage cost to Water compannies"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(189:189))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(189:189))-1,6))","v":"Water interception by urban trees can reduce flood risks"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(189:189))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(189:189))-1,7))","v":"UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(189:189))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(189:189))-1,8))","v":"Petersfield"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(189:189))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(189:189))-1,9))","v":"i-Tree"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(189:189))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(189:189))-1,10))","v":"urban"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(189:189))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(189:189))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(189:189))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(189:189))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(189:189))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(189:189))-1,16))","v":"GBP"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(189:189))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(189:189))-1,13))","v":"17200 (value of reduced water runoff due to water interception by urban trees)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(189:189))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(189:189))-1,14))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(189:189))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(189:189))-1,15))","v":2016},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(189:189))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(189:189))-1,17))","v":2016},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(189:189))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(189:189))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(189:189))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(189:189))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(189:189))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(189:189))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(190:190))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(190:190))-1,2))","v":"Water_Quantity"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(190:190))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(190:190))-1,3))","v":"Flood alleviation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(190:190))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(190:190))-1,4))","v":" Rogers, K., Doick, K., Watson, J., and Osborne, E. (2018) Valuing Ealing’s Urban Trees. Trees for Cities and Treeconomics"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(190:190))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(190:190))-1,5))","v":2018},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(190:190))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(190:190))-1,21))","v":"Water intercepted by urban trees is estimated to be  74,435m3 every year. The value of reduced water runoff is based on  ‘avoided charges’ sewerage cost to Water compannies"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(190:190))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(190:190))-1,6))","v":"Water interception by urban trees can reduce flood risks"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(190:190))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(190:190))-1,7))","v":"UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(190:190))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(190:190))-1,8))","v":"Ealing (London)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(190:190))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(190:190))-1,9))","v":"i-Tree"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(190:190))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(190:190))-1,10))","v":"urban"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(190:190))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(190:190))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(190:190))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(190:190))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(190:190))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(190:190))-1,16))","v":"GBP"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(190:190))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(190:190))-1,13))","v":"113000 (value of reduced water runoff due to water interception by urban trees)"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(190:190))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(190:190))-1,14))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(190:190))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(190:190))-1,15))","v":2017},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(190:190))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(190:190))-1,17))","v":2017},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(190:190))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(190:190))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(190:190))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(190:190))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(190:190))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(190:190))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(191:191))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(191:191))-1,2))","v":"Water_Quantity"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(191:191))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(191:191))-1,3))","v":"Flood alleviation"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(191:191))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(191:191))-1,4))","v":"Willis, K. G., Garrod, G., Scarpa, R., Powe, N., Lovett, A., Bateman, I. J., ... & Macmillan, D. C. (2003). The social and environmental benefits of forests in Great Britain. Forestry Commission, Edinburgh."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(191:191))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(191:191))-1,5))","v":2003},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(191:191))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(191:191))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(191:191))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(191:191))-1,6))","v":"water is lost to abstraction for potable uses"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(191:191))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(191:191))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(191:191))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(191:191))-1,8))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(191:191))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(191:191))-1,9))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(191:191))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(191:191))-1,10))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(191:191))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(191:191))-1,11))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(191:191))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(191:191))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(191:191))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(191:191))-1,16))","v":"pounds"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(191:191))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(191:191))-1,13))","v":"0.13 - 1.24"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(191:191))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(191:191))-1,14))","v":"per m3 of water lost to abstraction for potable uses"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(191:191))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(191:191))-1,15))","v":"per m3"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(191:191))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(191:191))-1,17))","v":2001},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(191:191))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(191:191))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(191:191))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(191:191))-1,19))","v":"LRMC reported by OFWAT"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(191:191))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(191:191))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(192:192))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(192:192))-1,2))","v":"Water_Quantity"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(192:192))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(192:192))-1,3))","v":"Food - agriculture and fisheries"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(192:192))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(192:192))-1,4))","v":"Butler, J. R. A., et al. (2009). \"Evaluating an ecosystem service provided by Atlantic salmon, sea trout and other fish species in the River Spey, Scotland: The economic impact of recreational rod fisheries.\" Fisheries Research 96(2-3): 259-266."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(192:192))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(192:192))-1,5))","v":2009},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(192:192))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(192:192))-1,21))","v":"also noted that fisheries contributed an estimated 420 full time equivalent jobs in the catchment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(192:192))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(192:192))-1,6))","v":"Recreational rod fishing"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(192:192))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(192:192))-1,7))","v":"Scotland"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(192:192))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(192:192))-1,8))","v":"River Spey Catchment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(192:192))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(192:192))-1,9))","v":"Anglers reported their daily expenditure, and the CogentSI model was used to derive multiplier effects."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(192:192))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(192:192))-1,10))","v":"River Catchment"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(192:192))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(192:192))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(192:192))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(192:192))-1,12))","v":"31 fishery owners & 372 anglers"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(192:192))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(192:192))-1,16))","v":"pounds"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(192:192))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(192:192))-1,13))","v":12600000},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(192:192))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(192:192))-1,14))","v":"total value of fisheries contribution to household incomes"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(192:192))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(192:192))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(192:192))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(192:192))-1,17))","v":"1998-2002"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(192:192))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(192:192))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(192:192))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(192:192))-1,19))","v":"Length of river, fish species"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(192:192))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(192:192))-1,20))","v":"angler effort (days); angler characteristics (age, income, etc); angler expenditure (by fish species)"}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(193:193))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(193:193))-1,2))","v":"Water_Quantity"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(193:193))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(193:193))-1,3))","v":"Food - agriculture and fisheries"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(193:193))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(193:193))-1,4))","v":"Willis, K. G., Garrod, G., Scarpa, R., Powe, N., Lovett, A., Bateman, I. J., ... & Macmillan, D. C. (2003). The social and environmental benefits of forests in Great Britain. Forestry Commission, Edinburgh."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(193:193))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(193:193))-1,5))","v":2003},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(193:193))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(193:193))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(193:193))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(193:193))-1,6))","v":"water is lost to abstraction for potable uses"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(193:193))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(193:193))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(193:193))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(193:193))-1,8))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(193:193))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(193:193))-1,9))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(193:193))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(193:193))-1,10))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(193:193))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(193:193))-1,11))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(193:193))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(193:193))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(193:193))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(193:193))-1,16))","v":"pounds"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(193:193))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(193:193))-1,13))","v":"0.13 - 1.24"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(193:193))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(193:193))-1,14))","v":"per m3 of water lost to abstraction for potable uses"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(193:193))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(193:193))-1,15))","v":"per m3"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(193:193))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(193:193))-1,17))","v":2001},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(193:193))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(193:193))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(193:193))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(193:193))-1,19))","v":"LRMC reported by OFWAT"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(193:193))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(193:193))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(194:194))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(194:194))-1,2))","v":"Water_Quantity"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(194:194))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(194:194))-1,3))","v":"Food - commercial"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(194:194))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(194:194))-1,4))","v":"Willis, K. G., Garrod, G., Scarpa, R., Powe, N., Lovett, A., Bateman, I. J., ... & Macmillan, D. C. (2003). The social and environmental benefits of forests in Great Britain. Forestry Commission, Edinburgh."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(194:194))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(194:194))-1,5))","v":2003},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(194:194))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(194:194))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(194:194))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(194:194))-1,6))","v":"water is lost to abstraction for potable uses"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(194:194))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(194:194))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(194:194))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(194:194))-1,8))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(194:194))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(194:194))-1,9))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(194:194))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(194:194))-1,10))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(194:194))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(194:194))-1,11))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(194:194))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(194:194))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(194:194))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(194:194))-1,16))","v":"pounds"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(194:194))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(194:194))-1,13))","v":"0.13 - 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[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(195:195))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(195:195))-1,2))","v":"Water_Quantity"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(195:195))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(195:195))-1,3))","v":"Food - subsistence"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(195:195))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(195:195))-1,4))","v":"Willis, K. G., Garrod, G., Scarpa, R., Powe, N., Lovett, A., Bateman, I. J., ... & Macmillan, D. C. (2003). The social and environmental benefits of forests in Great Britain. Forestry Commission, Edinburgh."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(195:195))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(195:195))-1,5))","v":2003},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(195:195))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(195:195))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(195:195))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(195:195))-1,6))","v":"water is lost to abstraction for potable uses"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(195:195))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(195:195))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(195:195))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(195:195))-1,8))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(195:195))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(195:195))-1,9))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(195:195))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(195:195))-1,10))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(195:195))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(195:195))-1,11))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(195:195))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(195:195))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(195:195))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(195:195))-1,16))","v":"pounds"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(195:195))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(195:195))-1,13))","v":"0.13 - 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[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(196:196))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(196:196))-1,2))","v":"Water_Quantity"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(196:196))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(196:196))-1,3))","v":"Food agriculuture and fisheries\n"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(196:196))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(196:196))-1,4))","v":"Moran, D. and S. Dann (2008). \"The economic value of water use: Implications for implementing the Water Framework Directive in Scotland.\" Journal of Environmental Management 87(3): 484-496."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(196:196))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(196:196))-1,5))","v":2008},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(196:196))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(196:196))-1,21))","v":"Not a primary valuation study - instead reports values from secondary data sources to derive economic values for water on a sector basis. "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(196:196))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(196:196))-1,6))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(196:196))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(196:196))-1,7))","v":"Scotland"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(196:196))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(196:196))-1,8))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(196:196))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(196:196))-1,9))","v":"Review & Synthesis"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(196:196))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(196:196))-1,10))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(196:196))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(196:196))-1,11))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(196:196))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(196:196))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(196:196))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(196:196))-1,16))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(196:196))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(196:196))-1,13))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(196:196))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(196:196))-1,14))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(196:196))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(196:196))-1,15))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(196:196))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(196:196))-1,17))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(196:196))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(196:196))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(196:196))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(196:196))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(196:196))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(196:196))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(197:197))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(197:197))-1,2))","v":"Water_Quantity"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(197:197))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(197:197))-1,3))","v":"Housing services"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(197:197))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(197:197))-1,4))","v":"Rogers, K., Jaluzot, A., & Neilan, C. (2012). Green Benefits in Victoria Business Improvement District, Victoria Business Improvement District, London, UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(197:197))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(197:197))-1,5))","v":2012},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(197:197))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(197:197))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(197:197))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(197:197))-1,6))","v":"carbon storage, carbon sequestration, storm water attentuation, replacement cost and capital asset value of urban trees"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(197:197))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(197:197))-1,7))","v":"UK"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(197:197))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(197:197))-1,8))","v":"Victoria"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(197:197))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(197:197))-1,9))","v":"i-Tree eco, Green Infrastructure Valuation Toolkit and  Capital Asset Valuation for Amenity Trees "},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(197:197))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(197:197))-1,10))","v":"Regional"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(197:197))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(197:197))-1,11))","v":"General public"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(197:197))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(197:197))-1,12))","v":"1225 trees"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(197:197))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(197:197))-1,16))","v":"pounds"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(197:197))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(197:197))-1,13))","v":"44895.24\n972.55\n49644\n2103276\n27245046"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(197:197))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(197:197))-1,14))","v":"aggregate value of carbon storage\naggregate value of carbon sequestration\naggregate value of storm water attenuation\nCLTA replacement cost\nCapital asset value"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(197:197))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(197:197))-1,15))","v":"per year"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(197:197))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(197:197))-1,17))","v":2011},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(197:197))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(197:197))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(197:197))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(197:197))-1,19))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(197:197))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(197:197))-1,20))","v":"values computed usingi-Tree econ, Green Infrastructure Valuation Toolkit and  Capital Asset Valuation for Amenity Trees "}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(198:198))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(198:198))-1,2))","v":"Water_Quantity"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(198:198))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(198:198))-1,3))","v":"Housing services"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(198:198))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(198:198))-1,4))","v":"Rumble, H., et al. (2014). Valuing Wrexham’s Urban Forest: Assessing the Ecosystem Services of Wrexham’s Urban Trees: A Technical Report, Forest Research, UK."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(198:198))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(198:198))-1,5))","v":2014},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(198:198))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(198:198))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(198:198))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 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number and size of trees, species."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(198:198))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(198:198))-1,20))","v":"Specific to Wrexham, including specific weather data."}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(199:199))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(199:199))-1,2))","v":"Water_Quantity"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(199:199))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(199:199))-1,3))","v":"Housing services"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(199:199))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(199:199))-1,4))","v":"Rumble, H., et al. (2015). Valuing urban trees in Glasgow: Assessing the Ecosystem Services of Glasgow’s Urban Forest: A Technical Report, Forest Research, UK."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(199:199))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(199:199))-1,5))","v":2015},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(199:199))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(199:199))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(199:199))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 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number and size of trees, species."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(199:199))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(199:199))-1,20))","v":"Specific to Glasgow, including specific weather data."}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(200:200))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(200:200))-1,2))","v":"Water_Quantity"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(200:200))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(200:200))-1,3))","v":"Housing services"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(200:200))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(200:200))-1,4))","v":"Willis, K. G., Garrod, G., Scarpa, R., Powe, N., Lovett, A., Bateman, I. J., ... & Macmillan, D. C. (2003). The social and environmental benefits of forests in Great Britain. Forestry Commission, Edinburgh."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(200:200))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(200:200))-1,5))","v":2003},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(200:200))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(200:200))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(200:200))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(200:200))-1,6))","v":"water is lost to abstraction for potable uses"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(200:200))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(200:200))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(200:200))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(200:200))-1,8))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(200:200))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(200:200))-1,9))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(200:200))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(200:200))-1,10))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(200:200))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(200:200))-1,11))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(200:200))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(200:200))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(200:200))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(200:200))-1,16))","v":"pounds"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(200:200))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(200:200))-1,13))","v":"0.13 - 1.24"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(200:200))-1,14)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(200:200))-1,14))","v":"per m3 of water lost to abstraction for potable uses"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(200:200))-1,15)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(200:200))-1,15))","v":"per m3"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(200:200))-1,17)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(200:200))-1,17))","v":2001},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(200:200))-1,18)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(200:200))-1,18))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(200:200))-1,19)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(200:200))-1,19))","v":"LRMC reported by OFWAT"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(200:200))-1,20)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(200:200))-1,20))","v":0}]
[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(201:201))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(201:201))-1,2))","v":"Water_Quantity"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(201:201))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(201:201))-1,3))","v":"Hydropower"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(201:201))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(201:201))-1,4))","v":"Moran, D. and S. Dann (2008). \"The economic value of water use: Implications for implementing the Water Framework Directive in Scotland.\" Journal of Environmental Management 87(3): 484-496."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(201:201))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(201:201))-1,5))","v":2008},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(201:201))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(201:201))-1,21))","v":"Not a primary valuation study - instead reports values from secondary data sources to derive economic values for water on a sector basis. 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[{"$f":"IF(ISERROR(INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(202:202))-1,2)),\"End of results\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(202:202))-1,2))","v":"Water_Quantity"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(202:202))-1,3)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(202:202))-1,3))","v":"Hydropower"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(202:202))-1,4)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(202:202))-1,4))","v":"Willis, K. G., Garrod, G., Scarpa, R., Powe, N., Lovett, A., Bateman, I. J., ... & Macmillan, D. C. (2003). The social and environmental benefits of forests in Great Britain. Forestry Commission, Edinburgh."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(202:202))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(202:202))-1,5))","v":2003},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(202:202))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(202:202))-1,21))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(202:202))-1,6)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(202:202))-1,6))","v":"water is lost to abstraction for potable uses"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(202:202))-1,7)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(202:202))-1,7))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(202:202))-1,8)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(202:202))-1,8))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(202:202))-1,9)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(202:202))-1,9))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(202:202))-1,10)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(202:202))-1,10))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(202:202))-1,11)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(202:202))-1,11))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(202:202))-1,12)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(202:202))-1,12))","v":0},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(202:202))-1,16)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(202:202))-1,16))","v":"pounds"},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(202:202))-1,13)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(202:202))-1,13))","v":"0.13 - 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Dann (2008). \"The economic value of water use: Implications for implementing the Water Framework Directive in Scotland.\" Journal of Environmental Management 87(3): 484-496."},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$J$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(203:203))-1,5)),\"\",INDEX('Master Data 2'!$A$2:$J$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(203:203))-1,5))","v":2008},{"$f":"IF(ISERROR(INDEX('Master Data 1'!$A$2:$U$204,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(203:203))-1,21)),\"\",INDEX('Master Data 2'!$A$2:$U$219,SMALL(IF(('Master Data 2'!$A$2:$A$219)>0,ROW('Master Data 2'!$A$2:$A$219)),ROW(203:203))-1,21))","v":"Not a primary valuation study - instead reports values from secondary data sources to derive economic values for water on a sector basis. 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{"sheet":"Bio Search","index":3,"n_rows":182,"n_cols":6,"rows_kept":182,"cut":false,"hidden":false,"merged":[[1,0,1,1],[1,3,1,6],[3,2,3,3],[5,0,5,9]]}
[]
["Search Options",null,null,"Woodland Valuation Tool: Biophysical Literature Search"]
[null,"Drop down menus (click in red boxes below)"]
["Final environmental goods and services:","All","Use the drop down menus to select which final environmental goods and services to view.  "]
[]
["SEARCH RESULTS\nBIOPHYSICAL LITERATURE REVIEW DETAILS"]
[null,null,null,null,"Number of results:",{"$f":"SUM('Master Bio Data'!A:A)","v":175}]
[]
["Final Environmental Goods and Services","Literature","Year of publication"]
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[{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(18:18))-1,2)),\"End of results\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(18:18))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(18:18))-1,4)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(18:18))-1,4))","v":"Bowler, D. E., et al. (2010). \"Urban greening to cool towns and cities: A systematic review of the empirical evidence.\" Landscape and Urban Planning 97(3): 147-155."},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(18:18))-1,5)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(18:18))-1,5))","v":2010}]
[{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(19:19))-1,2)),\"End of results\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(19:19))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(19:19))-1,4)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(19:19))-1,4))","v":"Dietz, S. and Fankhauser, S. (2010) Environmental prices, uncertainty, and learning. Oxford review of economic policy 26, 270-284"},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(19:19))-1,5)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(19:19))-1,5))","v":2010}]
[{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(20:20))-1,2)),\"End of results\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(20:20))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(20:20))-1,4)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(20:20))-1,4))","v":"Matthews, R. W. and M. S. J. Broadmeadow (2009). The potential of UK forestry to contribute to Government’s emissions reduction commitments. Combating climate change – a role for UK forests. An assessment of the potential of the UK’s trees and woodlands to mitigate and adapt to climate change. D. J. Read, P. Freer-Smith, J. I. L. Morison et al. Edinburgh: HMSO The Stationery Office: p.139-161."},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(20:20))-1,5)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(20:20))-1,5))","v":2009}]
[{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(21:21))-1,2)),\"End of results\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(21:21))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(21:21))-1,4)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(21:21))-1,4))","v":"DECC, (2009) Carbon valuation in UK policy appraisal: A revised approach, in: Climate Change Economics: Department of Energy & Climate Change (Ed.), London, UK."},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(21:21))-1,5)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(21:21))-1,5))","v":2009}]
[{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(22:22))-1,2)),\"End of results\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(22:22))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(22:22))-1,4)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(22:22))-1,4))","v":"McDonald, A. G., et al. (2007). \"Quantifying the effect of urban tree planting on concentrations and depositions of PM10 in two UK conurbations.\" Atmospheric Environment 41(38): 8455-8467."},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(22:22))-1,5)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(22:22))-1,5))","v":2007}]
[{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(23:23))-1,2)),\"End of results\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(23:23))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(23:23))-1,4)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(23:23))-1,4))","v":"Bealey, W. J., et al. (2007). \"Estimating the reduction of urban PM10 concentrations by trees within an environmental information system for planners.\" Journal of Environmental Management 85(1): 44-58."},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(23:23))-1,5)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(23:23))-1,5))","v":2007}]
[{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(24:24))-1,2)),\"End of results\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(24:24))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(24:24))-1,4)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(24:24))-1,4))","v":"Myeong, S., et al. (2006). \"A temporal analysis of urban forest carbon storage using remote sensing.\" Remote Sensing of Environment 101(2): 277-282."},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(24:24))-1,5)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(24:24))-1,5))","v":2006}]
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[{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(26:26))-1,2)),\"End of results\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(26:26))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(26:26))-1,4)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(26:26))-1,4))","v":"Donovan, R. G., et al. (2005). \"Development and application of an urban tree air quality score for photochemical pollution episodes using the Birmingham, United Kingdom, area as a case study.\" Environmental Science & Technology 39(17): 6730-6738."},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(26:26))-1,5)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(26:26))-1,5))","v":2005}]
[{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(27:27))-1,2)),\"End of results\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(27:27))-1,2))","v":"Air"},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(27:27))-1,4)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(27:27))-1,4))","v":"Freer-Smith, P. H., et al. (2004). \"Capture of particulate pollution by trees: A comparison of species typical of semi-arid areas (Ficus nitida and Eucalyptus globulus) with European and North American species.\" Water Air and Soil Pollution 155(1-4): 173-187."},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(27:27))-1,5)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(27:27))-1,5))","v":2004}]
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[{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(122:122))-1,2)),\"End of results\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(122:122))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(122:122))-1,4)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(122:122))-1,4))","v":"Rogers, K., et al. (2012). Green Benefits in Victoria Business Improvement District: An analysis of the benefits of trees and other green assets in the Victoria Business Improvement District."},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(122:122))-1,5)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(122:122))-1,5))","v":2012}]
[{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(123:123))-1,2)),\"End of results\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(123:123))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(123:123))-1,4)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(123:123))-1,4))","v":"Gagkas, Z., et al. (2011). \"Assessing the effect of broadleaf woodland expansion on acidic dry deposition and streamwater acidification.\" Forest Ecology and Management 262(8): 1434-1442."},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(123:123))-1,5)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(123:123))-1,5))","v":2011}]
[{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(124:124))-1,2)),\"End of results\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(124:124))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(124:124))-1,4)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(124:124))-1,4))","v":"Nisbet, T. R., et al. (2011). Woodland for Water: Woodland measures for meeting Water Framework Directive objectives, Forest Research Monograph, 4, Forest Research, Surrey: 156."},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(124:124))-1,5)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(124:124))-1,5))","v":2011}]
[{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(125:125))-1,2)),\"End of results\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(125:125))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(125:125))-1,4)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(125:125))-1,4))","v":"Quine, C. P., et al. (2011). UK National Ecosystem Assessment, Chapter 8: Woodlands, UNEP-WCMC, Cambridge."},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(125:125))-1,5)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(125:125))-1,5))","v":2011}]
[{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(126:126))-1,2)),\"End of results\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(126:126))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(126:126))-1,4)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(126:126))-1,4))","v":"Broadmeadow, S. B., Jones, J. G., Langford, T. E. L., Shaw, P. J., & Nisbet, T. R. (2011). The influence of riparian shade on lowland stream water temperatures in southern England and their viability for brown trout. River Research and Applications, 27(2), 226-237."},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(126:126))-1,5)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(126:126))-1,5))","v":2011}]
[{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(127:127))-1,2)),\"End of results\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(127:127))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(127:127))-1,4)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(127:127))-1,4))","v":"Bateman, I.J., Brouwer, R., Ferrini, S., Schaafsma, M., Barton, D.N., Dubgaard, A., Hasler, B., Hime, S., Liekens, I., Navrud, S., De Nocker, L., Ščeponavičiūtė, R., and Semėnienė, D. (2011) Making benefit transfers work: Deriving and testing principles for value transfers for similar and dissimilar sites using a case study of the non-market benefits of water quality improvements across Europe, Environmental and Resource Economics, 50(3): 356-387, DOI 10.1007/s10640-011-9476-8. "},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(127:127))-1,5)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(127:127))-1,5))","v":2011}]
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[{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(129:129))-1,2)),\"End of results\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(129:129))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(129:129))-1,4)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(129:129))-1,4))","v":"Bateman, I.J., Mace, G.M., Fezzi, C., Atkinson, G. and Turner, R.K. (2011) Economic analysis for ecosystem service assessments, Environmental and Resource Economics, 48(2): 177-218, DOI 10.1007/s10640-010-9418-x."},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(129:129))-1,5)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(129:129))-1,5))","v":2011}]
[{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(130:130))-1,2)),\"End of results\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(130:130))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(130:130))-1,4)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(130:130))-1,4))","v":"Hutchins, M. G., et al. (2010). \"Which offers more scope to suppress river phytoplankton blooms: Reducing nutrient pollution or riparian shading?\" Science of the Total Environment 408(21): 5065-5077."},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(130:130))-1,5)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(130:130))-1,5))","v":2010}]
[{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(131:131))-1,2)),\"End of results\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(131:131))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(131:131))-1,4)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(131:131))-1,4))","v":"Brown, L. E., et al. (2010). \"A comparison of stream water temperature regimes from open and afforested moorland, Yorkshire Dales, northern England.\" Hydrological Processes 24(22): 3206-3218."},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(131:131))-1,5)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(131:131))-1,5))","v":2010}]
[{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(132:132))-1,2)),\"End of results\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(132:132))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(132:132))-1,4)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(132:132))-1,4))","v":"Walker, B., Pearson, L., Harris, M., Maler, K. G., Li, C. Z., Biggs, R., & Baynes, T. (2010). Incorporating resilience in the assessment of inclusive wealth: an example from South East Australia. Environmental and Resource Economics, 45(2), 183-202."},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(132:132))-1,5)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(132:132))-1,5))","v":2010}]
[{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(133:133))-1,2)),\"End of results\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(133:133))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(133:133))-1,4)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(133:133))-1,4))","v":"Yamada, T., Logsdon, S. D., Tomer, M. D., & Burkart, M. R. (2007). Groundwater nitrate following installation of a vegetated riparian buffer. Science of the Total Environment, 385(1), 297-309."},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(133:133))-1,5)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(133:133))-1,5))","v":2007}]
[{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(134:134))-1,2)),\"End of results\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(134:134))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(134:134))-1,4)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(134:134))-1,4))","v":"Freer-Smith, P. H., et al. (2005). \"Deposition velocities to Sorbus aria, Acer campestre, Populus deltoides X trichocarpa 'Beaupre', Pinus nigra and X Cupressocyparis leylandii for coarse, fine and ultra-fine particles in the urban environment.\" Environmental Pollution 133(1): 157-167."},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(134:134))-1,5)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(134:134))-1,5))","v":2005}]
[{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(135:135))-1,2)),\"End of results\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(135:135))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(135:135))-1,4)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(135:135))-1,4))","v":"Nisbet, T., et al. (2004). A guide to using woodland for sediment control, Forest Research, Farnham, UK."},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(135:135))-1,5)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(135:135))-1,5))","v":2004}]
[{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(136:136))-1,2)),\"End of results\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(136:136))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(136:136))-1,4)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(136:136))-1,4))","v":"Vellidis, G., Lowrance, R., Gay, P., & Hubbard, R. K. (2003). Nutrient transport in a restored riparian wetland. Journal of Environmental Quality, 32(2), 711-726."},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(136:136))-1,5)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(136:136))-1,5))","v":2003}]
[{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(137:137))-1,2)),\"End of results\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(137:137))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(137:137))-1,4)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(137:137))-1,4))","v":"Baral, H., Guariguata, M. R., Keenan, R.J. (2016). A proposed framework for assessing ecosystem services from planted forests. Ecosystem Services 22: 260-268."},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(137:137))-1,5)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(137:137))-1,5))","v":2016}]
[{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(138:138))-1,2)),\"End of results\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(138:138))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(138:138))-1,4)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(138:138))-1,4))","v":"Carling, P. A., et al. (2001). \"Reducing sediment inputs to Scottish streams: a review of the efficacy of soil conservation practices in upland forestry.\" Science of the Total Environment 265(1-3): 209-227."},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(138:138))-1,5)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(138:138))-1,5))","v":2001}]
[{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(139:139))-1,2)),\"End of results\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(139:139))-1,2))","v":"Water_quality"},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(139:139))-1,4)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(139:139))-1,4))","v":"Seidl, R., Spies, T.A., Peterson, D.L., Stephens, S.L., Hicke, J.A. (2016). Searching for resilience: addressing the impacts of changing disturbance regimes on forest ecosystem services. Journal of Applied Ecology 2016, 53: 120–129"},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(139:139))-1,5)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(139:139))-1,5))","v":2016}]
[{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(140:140))-1,2)),\"End of results\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(140:140))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(140:140))-1,4)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(140:140))-1,4))","v":"Carling, P. A., et al. (2001). \"Reducing sediment inputs to Scottish streams: a review of the efficacy of soil conservation practices in upland forestry.\" Science of the Total Environment 265(1-3): 209-227."},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(140:140))-1,5)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(140:140))-1,5))","v":2001}]
[{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(141:141))-1,2)),\"End of results\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(141:141))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(141:141))-1,4)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(141:141))-1,4))","v":"Carling, P. A., et al. (2001). \"Reducing sediment inputs to Scottish streams: a review of the efficacy of soil conservation practices in upland forestry.\" Science of the Total Environment 265(1-3): 209-227."},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(141:141))-1,5)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(141:141))-1,5))","v":2001}]
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[{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(143:143))-1,2)),\"End of results\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(143:143))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(143:143))-1,4)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(143:143))-1,4))","v":"Halcrow Water, (2001) Sedimentation in Storage Reservoirs Report for the Department of the Environment"},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(143:143))-1,5)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(143:143))-1,5))","v":2001}]
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[{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(145:145))-1,2)),\"End of results\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(145:145))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(145:145))-1,4)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(145:145))-1,4))","v":"Lowrance, R., et al. (1995). \"Denitrification in a Restored Riparian Forest Wetland.\" Journal of Environmental Quality 24(5): 808-815."},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(145:145))-1,5)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(145:145))-1,5))","v":1995}]
[{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(146:146))-1,2)),\"End of results\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(146:146))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(146:146))-1,4)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(146:146))-1,4))","v":"Gilliam, J. W. (1994). \"Riparian Wetlands and Water-Quality.\" Journal of Environmental Quality 23(5): 896-900."},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(146:146))-1,5)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(146:146))-1,5))","v":1994}]
[{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(147:147))-1,2)),\"End of results\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(147:147))-1,2))","v":"Water_Quality"},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(147:147))-1,4)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(147:147))-1,4))","v":"Shalhevet, J. (1994) Using water of marginal quality for crop production: major issues, Agricultural Water Management, Volume 25, Issue 3, Pages 233-269, http://dx.doi.org/10.1016/0378-3774(94)90063-9."},{"$f":"IF(ISERROR(INDEX('Master Bio Data'!$A$2:$E$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(147:147))-1,5)),\"\",INDEX('Master Bio Data'!$A$2:$U$176,SMALL(IF(('Master Bio Data'!$A$2:$A$176)>0,ROW('Master Bio Data'!$A$2:$A$176)),ROW(147:147))-1,5))","v":1994}]
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[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B2='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C2='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D2='Summary Search'!$B$6,1,0)))","v":1},"Air","Housing services","Residential property owners","Concentration (ppmv/ ppm), smell, clarity (meters)","Provision of substitute or complementary housing services\nDefensive expenditures (air filters, extractors, ventilation)",null,null,"Europe Economics (2015). The economic benefits of woodland, A report for the Woodland Trust, London, UK.","Akbari, H. (2002). \"Shade trees reduce building energy use and CO2 emissions from power plants.\" Environmental Pollution 116: S119-S126.\n\nBolund, P. and S. Hunhammar (1999). \"Ecosystem services in urban areas.\" Ecological Economics 29(2): 293-301.\n\nDonovan, G. H. and D. T. Butry (2011). \"The effect of urban trees on the rental price of single-family homes in Portland, Oregon.\" Urban Forestry & Urban Greening 10(3): 163-168.\n\nDonovan, G. H. and D. T. Butry (2010). \"Trees in the city: Valuing street trees in Portland, Oregon.\" Landscape and urban planning 94(2): 77-83.\n\nNowak, D. J., et al. (2001). \"Assessing the value of urban forests in the United States.\" Proceedings of the Society of American Foresters, 2001 National Convention: 237-241.\n\nNowak, D. J., et al. (2014). \"Tree and forest effects on air quality and human health in the United States.\" Environmental Pollution 193: 119-129.\n\nPerino, G., et al. (2014). \"The Value of Urban Green Space in Britain: A Methodological Framework for Spatially Referenced Benefit Transfer.\" Environmental & Resource Economics 57(2): 251-272.\n\nTyrvainen, L. (1997). \"The amenity value of the urban forest: An application of the hedonic pricing method.\" Landscape and Urban Planning 37(3-4): 211-222.\n\nTyrväinen, L. and A. Miettinen (2000). \"Property Prices and Urban Forest Amenities.\" Journal of Environmental Economics and Management 39(2): 205-223."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B3='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C3='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D3='Summary Search'!$B$6,1,0)))","v":1},"Air","Carbon","General public","tC, tCO2e","Emissions reduction targets","Social cost of carbon, abatement costs",null,"Brainard, J., et al. (2003). Social & Environmental Benefits of Forestry Phase 2: Carbon Sequestration Benefits of Woodland, Report to Forestry Commission, Edinburgh.\n\nBrainard, J., et al. (2009). \"The social value of carbon sequestered in Great Britain's woodlands.\" Ecological Economics 68(4): 1257-1267.\n\nFelardo, J., Lippitt, C.D. (2016). Spatial forest valuation: The role of location in determining attitudes toward payment for ecosystem services policies. Forest Policy and Economics 62: 158-167.\n\nForest Enterprise England (2016). Natural capital accounts 2015-16. \n\nHäyhä, T., Franzese, P., Paletto, A., Fath, B.D. (2015). Assessing, valuing, and mapping ecosystem services in Alpine forests. Ecosystem Services 14: 12-23.\n\nHolt, A. and Rouquette, J. (2017). The quantification and valuation of the environmental, social and economic impacts of the Forest of Marston Vale. Report prepared for:\nThe Forest of Marston Vale, March 2017\n\nMasiero, M., Davide M. Pettenella, Laura Secco (2016). From failure to value: economic valuation for a selected set of products and services from Mediterranean forests. Forest Systems 25(1): 16 pages\n\nNowak et al. (2007) Assessing Urban Forest Effects and Values: New York's Urban Forest, USDA, Resource bulletin NRS-9\n\nNowak et al. (2010) Assessing Urban Forest Effects and Values: Chicago's Urban Forest, USDA, Resource bulletin NRS-37\n\nNowak et al. (2010) Assessing Urban Forest Effects and Values: San Francisco's Urban Forest, USDA, Resource bulletin NRS-8\n\nNowak et al. (2012) Assessing Urban Forest Effects and Values: Toronto’s Urban Forest, USDA Resource bulletin NRS-79\n\nRoesch-McNally, G.E., Rabotyagov, S.S. (2016).  Paying for Forest Ecosystem Services: Voluntary Versus Mandatory Payments. Environmental Management 57: 585-600.\n\nRumble, H., et al. (2014). Valuing Wrexham’s Urban Forest: Assessing the Ecosystem Services of Wrexham’s Urban Trees: A Technical Report, Forest Research, UK.\n\nRumble, H., et al. (2015). Valuing urban trees in Glasgow: Assessing the Ecosystem Services of Glasgow’s Urban Forest: A Technical Report, Forest Research, UK.\n\nSoares, A. L., et al. (2011). \"Benefits and costs of street trees in Lisbon, Portugal.\" Urban Forestry & Urban Greening 10(2): 69-78.\n\nRogers, K., Jaluzot, A., & Neilan, C. (2012). Green Benefits in Victoria Business Improvement District, Victoria Business Improvement District, London, UK\n\nTol, R.S. (2013) Targets for global climate policy: An overview. Journal of Economic Dynamics and Control 37, 911-928.\n\nBalderas Torres, A., Douglas C. MacMillan, Margaret Skutsch, Jon C. Lovett (2015). Reprint of ‘Yes-in-my-backyard’: Spatial differences in the valuation of forest services and local co-beneﬁts for carbon markets in México. Ecological Economics 117:283-294\n\nvan Kooten, G. C. and B. Sohngen (2007). \"Economics of forest ecosystem carbon sinks: A review.\" International Review of Environmental and Resource Economics 1(3): 237-269.\n\nNijnik, M., et al. (2013). \"An economic analysis of the establishment of forest plantations in the United Kingdom to mitigate climatic change.\" Forest Policy and Economics 26: 34-42.\n\nValatin, G. (2010). Forests and carbon: valuation, discounting and risk management, Forestry Commission Research Report. Forestry Commission, Edinburgh.\n\nTol, R. S. (2011). The social cost of carbon. Annu. Rev. Resour. Econ., 3(1), 419-443\n\nNordhaus, W. (2014). Estimates of the social cost of carbon: concepts and results from the DICE-2013R model and alternative approaches. Journal of the Association of Environmental and Resource Economists, 1(1), 273-312\n\nHutchings, T. R., V. Lawrence, and A. Brunt (2012): \"Estimating the Ecosystem Services Value of Edinburgh’s Trees \": Report by Forest Research, Forest Research UK.\n\nVarela, E., Jette Bredahl Jacobsen, Robert Mavsar (2017). Social demand for multiple beneﬁts provided by Aleppo pine forest management in Catalonia, Spain. Reg Environ Change 17:539-550","Mutch et al. (2017). Understanding the value of Southampton’s urban trees. Results of the 2016 i-Tree Eco survey. University of Southampton, Forest Research, Treeconomics and Southampton City Council. Southampton. 81pp. ISBN 978-0-85432-004-2.\n\nMoffat et al. (2017). Petersfield’s trees - their importance and value. Results of the i-Tree Eco survey. Report to East Hampshire District Council, South Downs National Park Authority and Petersfield Town Council. The Petersfield Society, Petersfield.\n\nRogers, K., Doick, K., Watson, J., and Osborne, E. (2018) Valuing Ealing’s Urban Trees. Trees for Cities and Treeconomics"]
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[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B9='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C9='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D9='Summary Search'!$B$6,1,0)))","v":1},"Air","Mental health","Insurance companies","Concentration (ppmv/ppm), presence/absence, smell, clarity","Other inputs into mental health including physical health, lifestyle (employment, income, stress), open space, water quality, nutrition etc.\nAge",null,null,"Europe Economics (2015). The economic benefits of woodland, A report for the Woodland Trust, London, UK."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B10='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C10='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D10='Summary Search'!$B$6,1,0)))","v":1},"Air","Non-use value production","Non users","Concentration (ppmv/ppm), presence/absence, smell, clarity",null,null,null,"Christie, M., et al. (2011). Economic Valuation of the Benefits of Ecosystem Services delivered by the UK Biodiversity Action Plan, Report to Defra, London.","Moons, E. (2002). Cost- benefit analysis of the location of new forest land, Energy, Transport and Environment Working Papers Series.\n\nMoons, E., et al. (2008). \"Optimal location of new forests in a suburban region.\" Journal of Forest Economics 14(1): 5-27."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B11='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C11='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D11='Summary Search'!$B$6,1,0)))","v":1},"Air","Physical health","General public","Concentration (ppmv/ppm), presence/absence","Infrastructure (e.g. Hong Kong - covered and ventilated walkways)\nOther inputs into health including lifestyle, illnesses, open space, water quality, nutrition etc.\nAge",null,null,"Bullock, C., et al. (2014). \"Realising the ecosystem-service value of native woodland in Ireland.\" New Zealand Journal of Forestry Science 44(Suppl 1): S4.\n\nChristie, M., et al. (2011). Economic Valuation of the Benefits of Ecosystem Services delivered by the UK Biodiversity Action Plan, Report to Defra, London.\n\nDefra (2013). Impact pathway guidance for valuing changes in air quality Defra, London.\n\nEftec (2010). The economic contribution of the Forestry Commission public forest estate in England, Final Report to Forestry Commission.\n\nEftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.\n\nEurope Economics (2015). The economic benefits of woodland, A report for the Woodland Trust, London, UK.\n\nJones, L., Vieno, M., Morton, D., Cryle, P., Holland, M., Carnell, E., Nemitz, E., Hall, J., Beck, R., Reis, S., Pritchard, N., Hayes, F., Mills, G., Koshy, A., Dickie, I. (2017). Developing Estimates for\nthe Valuation of Air Pollution Removal in Ecosystem Accounts. Final report for Office of National Statistics, July 2017.\n\nPowe, N. A. and K. G. Willis (2002). Social & Environmental Benefits of Forestry Phase 2 : Mortality and Morbidity Benefits of Air Pollution Absorption by Woodland, Report to Forestry Commission, Edinburgh.\n\nPowe, N. A. and K. G. Willis (2004). \"Mortality and morbidity benefits of air pollution (SO2 and PM10) absorption attributable to woodland in Britain.\" Journal of Environmental Management 70(2): 119-128.\n\nRegeneris Consulting (2009). The Economic Contribution of The Mersey Forest's Objective One-Funded Investments A Final Report by Regeneris Consulting, Cheshire, UK.","Akbari, H. (2002). \"Shade trees reduce building energy use and CO2 emissions from power plants.\" Environmental Pollution 116: S119-S126.\n\nMutch et al. (2017). Understanding the value of Southampton’s urban trees. Results of the 2016 i-Tree Eco survey. University of Southampton, Forest Research, Treeconomics and Southampton City Council. Southampton. 81pp. ISBN 978-0-85432-004-2.\n\nMoffat et al. (2017). Petersfield’s trees - their importance and value. Results of the i-Tree Eco survey. Report to East Hampshire District Council, South Downs National Park Authority and Petersfield Town Council. The Petersfield Society, Petersfield.\n\nNowak, D. J., et al. (2001). \"Assessing the value of urban forests in the United States.\" Proceedings of the Society of American Foresters, 2001 National Convention: 237-241.\n\nNowak, D. J., et al. (2014). \"Tree and forest effects on air quality and human health in the United States.\" Environmental Pollution 193: 119-129.\n\nRogers, K., et al. (2012). Green Benefits in Victoria Business Improvement District: An analysis of the benefits of trees and other green assets in the Victoria Business Improvement District.\n\nRogers, K., Doick, K., Watson, J., and Osborne, E. (2018) Valuing Ealing’s Urban Trees. Trees for Cities and Treeconomics\n\nRumble, H., et al. (2015). Valuing urban trees in Glasgow: Assessing the Ecosystem Services of Glasgow’s Urban Forest: A Technical Report, Forest Research, UK.\n\nRumble, H., et al. (2014). Valuing Wrexham’s Urban Forest: Assessing the Ecosystem Services of Wrexham’s Urban Trees: A Technical Report, Forest Research, UK.\n\nSoares, A. L., et al. (2011). \"Benefits and costs of street trees in Lisbon, Portugal.\" Urban Forestry & Urban Greening 10(2): 69-78.\n\nTiwary, A., et al. (2009). \"An integrated tool to assess the role of new planting in PM10 capture and the human health benefits: A case study in London.\" Environmental Pollution 157(10): 2645-2653."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B12='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C12='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D12='Summary Search'!$B$6,1,0)))","v":1},"Air","Physical health","Health care providers","Concentration (ppmv/ppm), presence/absence","Infrastructure (e.g. Hong Kong - covered and ventilated walkways)\nOther inputs into health including lifestyle, illnesses, open space, water quality, nutrition etc.\nAge",null,null,"Bullock, C., et al. (2014). \"Realising the ecosystem-service value of native woodland in Ireland.\" New Zealand Journal of Forestry Science 44(Suppl 1): S4.\n\nDefra (2013). Impact pathway guidance for valuing changes in air quality Defra, London.\n\nEftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.\n\nEurope Economics (2015). The economic benefits of woodland, A report for the Woodland Trust, London, UK.\n\nPowe, N. A. and K. G. Willis (2002). Social & Environmental Benefits of Forestry Phase 2 : Mortality and Morbidity Benefits of Air Pollution Absorption by Woodland, Report to Forestry Commission, Edinburgh.\n\nPowe, N. A. and K. G. Willis (2004). \"Mortality and morbidity benefits of air pollution (SO2 and PM10) absorption attributable to woodland in Britain.\" Journal of Environmental Management 70(2): 119-128.\n\nRegeneris Consulting (2009). The Economic Contribution of The Mersey Forest's Objective One-Funded Investments A Final Report by Regeneris Consulting, Cheshire, UK.","Akbari, H. (2002). \"Shade trees reduce building energy use and CO2 emissions from power plants.\" Environmental Pollution 116: S119-S126.\n\nNowak, D. J., et al. (2001). \"Assessing the value of urban forests in the United States.\" Proceedings of the Society of American Foresters, 2001 National Convention: 237-241.\n\nNowak, D. J., et al. (2014). \"Tree and forest effects on air quality and human health in the United States.\" Environmental Pollution 193: 119-129.\n\nRogers, K., et al. (2012). Green Benefits in Victoria Business Improvement District: An analysis of the benefits of trees and other green assets in the Victoria Business Improvement District.\n\nRumble, H., et al. (2015). Valuing urban trees in Glasgow: Assessing the Ecosystem Services of Glasgow’s Urban Forest: A Technical Report, Forest Research, UK.\n\nRumble, H., et al. (2014). Valuing Wrexham’s Urban Forest: Assessing the Ecosystem Services of Wrexham’s Urban Trees: A Technical Report, Forest Research, UK.\n\nSoares, A. L., et al. (2011). \"Benefits and costs of street trees in Lisbon, Portugal.\" Urban Forestry & Urban Greening 10(2): 69-78.\n\nTiwary, A., et al. (2009). \"An integrated tool to assess the role of new planting in PM10 capture and the human health benefits: A case study in London.\" Environmental Pollution 157(10): 2645-2653."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B13='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C13='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D13='Summary Search'!$B$6,1,0)))","v":1},"Air","Physical health","Insurance companies","Concentration (ppmv/ppm), presence/absence","Infrastructure (e.g. Hong Kong - covered and ventilated walkways)\nOther inputs into health including lifestyle, illnesses, open space, water quality, nutrition etc.\nAge",null,null,"Europe Economics (2015). The economic benefits of woodland, A report for the Woodland Trust, London, UK."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B14='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C14='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D14='Summary Search'!$B$6,1,0)))","v":1},"Air","Recreation","Recreational users","Concentration (ppmv/ppm), presence/absence, smell, clarity","Other aspects of site quality e.g. water quality and facilities (the value of clean air may be low at a site where the water quality is very bad, but high at a site where the water quality is good).",null,null,"Bateman, I. J., et al. (1996). \"Household Willingness to Pay and Farmers' Willingness to Accept Compensation for Establishing a Recreational Woodland.\" Journal of Environmental Planning and Management 39(1): 21-43.\n\nBateman, I. J., et al. (1999). \"Developing a methodology for benefit transfers using geographical information systems: Modelling demand for woodland recreation.\" Regional Studies 33(3): 191-205.\n\nBennett, R., et al. (1995). \"The Value of Footpath Provision in the Countryside: A Case-study of Public Access to Urban-fringe Woodland.\" Journal of Environmental Planning and Management 38(3): 409-418.\n\nBishop, K. (1992). \"Assessing the benefits of community forests: an evaluation of the recreational use benefits of two urban fringe woodlands.\" Journal of Environmental Planning and Management 35(1): 63-76.\n\nChristie, M., et al. (2006). Valuing forest recreation activities: Final Phase 2 Report.\n\nEftec (2010). The economic contribution of the Forestry Commission public forest estate in England, Final Report to Forestry Commission.\n\nEftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.\n\nEurope Economics (2015). The economic benefits of woodland, A report for the Woodland Trust, London, UK.\n\nScarpa, R. (2003). Social & Environmental Benefits of Forestry Phase 2 : The Recreation Value of Woodlands, Report to Forestry Commission, Edinburgh.\n\nSen, A., et al. (2014). \"Economic Assessment of the Recreational Value of Ecosystems: Methodological Development and National and Local Application.\" Environmental & Resource Economics 57(2): 233-249.\n\nTermansen, M., et al. (2013). \"Modelling and mapping spatial heterogeneity in forest recreation services.\" Ecological Economics 92: 48-57.\n\nTinch, R., et al. (2009). Economic valuation of uplands ecosystem services, A Natural England Commissioned Report NECR029.\n\nVerkerk, P. J., et al. (2014). \"Assessing impacts of intensified biomass production and biodiversity protection on ecosystem services provided by European forests.\" Ecosystem Services 9: 155-165.\n\nWillis, K. G. and G. D. Garrod (1991). \"An Individual Travel-Cost Method of Evaluating Forest Recreation.\" Journal of Agricultural Economics 42(1): 33-42.","Smailes, P. J. and D. L. Smith (2001). \"The growing recreational use of state forest lands in the Adelaide hills.\" Land Use Policy 18(2): 137-152.\n\nTyrväinen, L. (2001). \"Economic valuation of urban forest benefits in Finland.\" Journal of Environmental Management 62(1): 75-92.\n\nTyrväinen, L. and H. Väänänen (1998). \"The economic value of urban forest amenities: an application of the contingent valuation method.\" Landscape and Urban Planning 43(1–3): 105-118."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B15='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C15='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D15='Summary Search'!$B$6,1,0)))","v":1},"Air","Spiritual and cultural","Ceremonial and celebration participants","Concentration (ppmv/ppm), presence/absence, smell, clarity"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B16='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C16='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D16='Summary Search'!$B$6,1,0)))","v":1},"Air","Spiritual and cultural","Non users","Concentration (ppmv/ppm), presence/absence, smell, clarity"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B17='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C17='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D17='Summary Search'!$B$6,1,0)))","v":1},"Air","Waste discharge","Commercial property owners","Concentration (ppmv/ ppm)","Existing air quality\nRegulatory standards (ppm)"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B18='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C18='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D18='Summary Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Artistic production","Artists","Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species",null,null,null,"Christie, M., et al. (2006). \"Valuing the diversity of biodiversity.\" Ecological Economics 58(2): 304-317.\n\nChristie, M., et al. (2011). Economic Valuation of the Benefits of Ecosystem Services delivered by the UK Biodiversity Action Plan, Report to Defra, London."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B19='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C19='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D19='Summary Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Food - agriculture and fisheries","Farmers","Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species","Water quality\nSubstitutes\nFlora, fauna and fungi\nSoil quality\nPrice of seeds\nDemand for agricultural/fisheries products",null,null,"Bateman, I. J., et al. (2014). UK National Ecosystem Assessment Follow-on. Work Package Report 3: Economic value of ecosystem services. UNEP-WCMC, LWEC, UK.\n\nChristie, M., et al. (2011). Economic Valuation of the Benefits of Ecosystem Services delivered by the UK Biodiversity Action Plan, Report to Defra, London.\n\nEftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B20='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C20='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D20='Summary Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Food - agriculture and fisheries",null,null,null,null,null,"Ojea, E., Loureiro, M.L., Allo' M., Barrio, M. (2016). Ecosystem Services and REDD: Estimating the Benefits of Non-Carbon Services in Worldwide Forests. World Development 78: 246–261"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B21='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C21='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D21='Summary Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Food - commercial","Hunter gatherers","Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species",null,null,null,"Quine, C. P., et al. (2011). UK National Ecosystem Assessment, Chapter 8: Woodlands, UNEP-WCMC, Cambridge.\n\nHäyhä, T., Franzese, P., Paletto, A., Fath, B.D. (2015). Assessing, valuing, and mapping ecosystem services in Alpine forests. Ecosystem Services 14: 12-23.\n\nValatin, G. and J. Starling (2010). UK NEA Economic Analysis Report: Valuation of ecosystem services provided by UK woodlands UNEP-WCMC, Cambridge.","Moons, E. (2002). Cost- benefit analysis of the location of new forest land, Energy, Transport and Environment Working Papers Series.\n\nMoons, E., et al. (2008). \"Optimal location of new forests in a suburban region.\" Journal of Forest Economics 14(1): 5-27."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B22='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C22='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D22='Summary Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Food - subsistence","Non timber forest product extractors","Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species","Plant and seed supply; Net asset value wild game management",null,null,"Christie, M., et al. (2011). Economic Valuation of the Benefits of Ecosystem Services delivered by the UK Biodiversity Action Plan, Report to Defra, London.\n\nEftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.\n\nForest Enterprise England (2016). Natural capital accounts 2015-16. \n\nMasiero, M., Davide M. Pettenella, Laura Secco (2016). From failure to value: economic valuation for a selected set of products and services from Mediterranean forests. Forest Systems 25(1): 16 pages\n\nQuine, C. P., et al. (2011). UK National Ecosystem Assessment, Chapter 8: Woodlands, UNEP-WCMC, Cambridge.\n\nSchaafsma, M., et al. (2014). \"The importance of local forest benefits: Economic valuation of Non-Timber Forest Products in the Eastern Arc Mountains in Tanzania.\" Global Environmental Change-Human and Policy Dimensions 24: 295-305.\n\nSchaafsma, M., et al. (2012). \"Towards transferable functions for extraction of Non-timber Forest Products: A case study on charcoal production in Tanzania.\" Ecological Economics 80: 48-62.\n\nValatin, G. and J. Starling (2010). UK NEA Economic Analysis Report: Valuation of ecosystem services provided by UK woodlands UNEP-WCMC, Cambridge."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B23='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C23='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D23='Summary Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Food - subsistence","General public","Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species",null,"Contingent valuation\nChoice experiment",null,"Felardo, J., Lippitt, C.D. (2016). Spatial forest valuation: The role of location in determining attitudes toward payment for ecosystem services policies. Forest Policy and Economics 62: 158-167.\n\nGelo, D. and Koch, S.F. (2015). Contingent valuation of community forestry programs in Ethiopia: controlling for preference anomalies in double-bounded CVM\n\nRai, R.K., Scarborough, H. (2015). Nonmarket valuation in developing countries: incorporating labour contributions in environmental benefits estimates. Australian Journal of Agricultural and Resource Economics 59: 479-498"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B24='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C24='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D24='Summary Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Housing services","Residential property owners","Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species",null,null,null,"Christie, M., et al. (2006). \"Valuing the diversity of biodiversity.\" Ecological Economics 58(2): 304-317.\n\nChristie, M., et al. (2011). Economic Valuation of the Benefits of Ecosystem Services delivered by the UK Biodiversity Action Plan, Report to Defra, London.","Tyrvainen, L. (1997). \"The amenity value of the urban forest: An application of the hedonic pricing method.\" Landscape and Urban Planning 37(3-4): 211-222.\n\nTyrväinen, L. and A. Miettinen (2000). \"Property Prices and Urban Forest Amenities.\" Journal of Environmental Economics and Management 39(2): 205-223."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B25='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C25='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D25='Summary Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Housing services","Urban populations","Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species","Reforestation in China","Contingent valuation\nHedonic pricing",null,null,"Escobedo, F., Adams, D.A., Timilsina, N. (2015). Urbanforeststructureeffectsonpropertyvalue. Ecosystem Services 12 (2015) 209–217\n\n"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B26='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C26='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D26='Summary Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Learning services","Education providers","Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species",null,null,null,"Christie, M., et al. (2006). \"Valuing the diversity of biodiversity.\" Ecological Economics 58(2): 304-317.\n\nChristie, M., et al. (2011). Economic Valuation of the Benefits of Ecosystem Services delivered by the UK Biodiversity Action Plan, Report to Defra, London."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B27='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C27='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D27='Summary Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Learning services","Independent learners","Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species",null,null,null,"Christie, M., et al. (2006). \"Valuing the diversity of biodiversity.\" Ecological Economics 58(2): 304-317.\n\nChristie, M., et al. (2011). Economic Valuation of the Benefits of Ecosystem Services delivered by the UK Biodiversity Action Plan, Report to Defra, London."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B28='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C28='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D28='Summary Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Mental health","General public","Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species","Other inputs into mental health including physical health, lifestyle (employment, income, stress), open space, water quality, nutrition etc.\nAge",null,null,"Christie, M., et al. (2006). \"Valuing the diversity of biodiversity.\" Ecological Economics 58(2): 304-317.\n\nChristie, M., et al. (2011). Economic Valuation of the Benefits of Ecosystem Services delivered by the UK Biodiversity Action Plan, Report to Defra, London."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B29='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C29='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D29='Summary Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Mental health","Health care providers","Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species","Other inputs into mental health including physical health, lifestyle (employment, income, stress), open space, water quality, nutrition etc.\nAge"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B30='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C30='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D30='Summary Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Mental health","Insurance companies","Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species","Other inputs into mental health including physical health, lifestyle (employment, income, stress), open space, water quality, nutrition etc.\nAge"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B31='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C31='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D31='Summary Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Non-use value production","Non users","Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species",null,null,null,"Christie, M., et al. (2006). \"Valuing the diversity of biodiversity.\" Ecological Economics 58(2): 304-317.\n\nChristie, M., et al. (2011). Economic Valuation of the Benefits of Ecosystem Services delivered by the UK Biodiversity Action Plan, Report to Defra, London.\n\nEftec (2010). The economic contribution of the Forestry Commission public forest estate in England, Final Report to Forestry Commission.\n\nEftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.\n\nEurope Economics (2015). The economic benefits of woodland, A report for the Woodland Trust, London, UK.\n\nGarrod, G. D. and K. G. Willis (1997). \"The non-use benefits of enhancing forest biodiversity: A contingent ranking study.\" Ecological Economics 21(1): 45-61.\n\nHanley, N., et al. (2002). Social & Environmental Benefits of Forestry Phase 2 : Valuing the Benefits of Biodiversity in Forests, Report to Forestry Commission, Edinburgh.\n\nHorne, P., et al. (2005). \"Multiple-use management of forest recreation sites: a spatially explicit choice experiment.\" Forest Ecology and Management 207(1-2): 189-199.\n\nLindhjem, H., et al. (2014). \"The social benefits and costs of preserving forest biodiversity and ecosystem services.\" Journal of Environmental Economics and Policy 4(2): 202-222.\n\nMacmillan, D. C. and E. I. Duff (1998). \"Estimating the non-market costs and benefits of native woodland restoration using the contingent valuation method.\" Forestry 71(3): 247-259.\n\nMorris, J. and M. Camino (2011). \"Economic Assessment of Freshwater, Wetland and Floodplain (FWF) Ecosystem Services \" UK NEA Economics Analysis, Freshwaters.\n\nQuine, C. P., et al. (2011). UK National Ecosystem Assessment, Chapter 8: Woodlands, UNEP-WCMC, Cambridge.\n\nRegeneris Consulting (2009). The Economic Contribution of The Mersey Forest's Objective One-Funded Investments A Final Report by Regeneris Consulting, Cheshire, UK.\n\nTinch, R., et al. (2009). Economic valuation of uplands ecosystem services, A Natural England Commissioned Report NECR029.\n\nWillis, K. G. and G. D. Garrod (1998). \"Biodiversity values for alternative management regimes in remote UK coniferous forests: an iterative bidding polychotomous choice approach.\" Environmentalist 18(3): 157-166.","Moons, E. (2002). Cost- benefit analysis of the location of new forest land, Energy, Transport and Environment Working Papers Series.\n\nMoons, E., et al. (2008). \"Optimal location of new forests in a suburban region.\" Journal of Forest Economics 14(1): 5-27."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B32='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C32='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D32='Summary Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Non-use value production","General public","Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species","Species increase in Southern Scandinavia\nForest in Poland\nSouth-West Spain","Choice experiment\ncontingent valuation",null,"Bakhtiaria, F.,  Jacobsen, F.B., Thorsen, B.J., Lundhede, T.H., Strange,N., Boman, M. (2018). Disentangling Distance and Country Effects on the Value of Conservation across National Borders. Ecological Economics 147: 11-20\n\nBartczak, A. (2015). The role of social and environmental attitudes in non-market valuation. An application to the Białowieża Forest. Forest Policy and Economics 50 (2015) 357–365\n\nCzajkowski, M., Wiktor Budzi nski, Danny Campbell,  Marek Giergiczny, Nick Hanley (2017). Spatial Heterogeneity ofWillingness to Pay for Forest Management. Environ Resource Econ (2017) 68:705–727\n\nOjea, E., Loureiro, M.L., Allo' M., Barrio, M. (2016). Ecosystem Services and REDD: Estimating the Benefits of Non-Carbon Services in Worldwide Forests. World Development 78: 246–261\n\nOviedo, J.L., Alejandro Caparrós (2015). Information and visual attention in contingent valuation and choice modeling: field and eye-tracking experiments applied to reforestations in Spain. Journal of Forest Economics 21: 185-204.\n\nPechanec, V., Machar, I., Sterbova, L., Prokopova, M., Kilianova, H., Chobot, K., Cudlin, P. (2017). Monetary Valuation of Natural Forest Habitats in Protected Areas. Forests, 8, 427\n\nRambonilaza,T., Brahic, E. (2016). Non-market values of forest biodiversity and the impact of informing the general public: Insights from generalized multinomial logit estimations. Environmental Science & Policy 64: 93-100 \n\nValasiuk, S., Mikołaj Czajkowski, Marek Giergiczny, Tomasz Zylicz, Knut Veisten, Marine Elbakidze, Per Angelstam (2017). Are bilateral conservation policies for the Białowieza forest\nunattainable? Analysis of stated preferences of Polish and Belarusian public. Journal of Forest Economics 27: 70-79\n\nVALASIUK, S., MIKOŁAJ CZAJKOWSKI, MAREK GIERGICZNY, TOMASZ ŻYLICZ, KNUT VEISTEN, ASKILL HARKJERR HALSE, IRATXE LANDA MATA, MARINE ELBA KIDZE, PER ANGELSTAM (2017). IS FOREST LANDSCAPE RESTORATION SOCIALLY DESIRABLE? A DISCRETE CHOICE  EXPERIMENT APPLIED TO THE SCANDINAVIAN TRANSBOUNDARY FULUFJÄLLET NATIONAL PARK AREA. Working Paper\nNo. 10/2017 (239), University of Warsaw\n\nVarela, E., Jette Bredahl Jacobsen, Robert Mavsar (2017). Social demand for multiple beneﬁts provided by Aleppo pine forest management in Catalonia, Spain. Reg Environ Change 17:539-550"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B33='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C33='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D33='Summary Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Pharmaceuticals","General public","Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species","Myrthle conservation in Iran","Contingent valuation",null,"Amiri, N., Emadian, S.F., Fallah, A., Adeli, K., and Amirnejad, H. (2015. Estimation of conservation value of myrtle (Myrtus communis) using a contingent valuation method: a case study in a Dooreh forest area, Lorestan Province, Iran. Forest Ecosystems (2015) 2:30"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B34='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C34='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D34='Summary Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Pharmaceuticals","Pharmaceutical companies","Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B35='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C35='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D35='Summary Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Physical health","General public","Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species","Other inputs into health including lifestyle, illnesses, open space, water quality, nutrition etc.",null,null,"Christie, M., et al. (2006). \"Valuing the diversity of biodiversity.\" Ecological Economics 58(2): 304-317.\n\nChristie, M., et al. (2011). Economic Valuation of the Benefits of Ecosystem Services delivered by the UK Biodiversity Action Plan, Report to Defra, London."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B36='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C36='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D36='Summary Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Physical health","Health care providers","Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species","Other inputs into health including lifestyle, illnesses, open space, water quality, nutrition etc."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B37='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C37='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D37='Summary Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Physical health","Insurance companies","Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species","Other inputs into health including lifestyle, illnesses, open space, water quality, nutrition etc."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B38='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C38='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D38='Summary Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Plant health","General public","Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species","Myrthle conservation in Iran\nForest pathogens' control in US\ninvasive species control in  the UK","Contingent valuation\nChoice experiment",null,"Meldrum, J.R. (2015). Comparing different attitude statements in latent class models of stated preferences for managing an invasive forest pathogen. Ecological Economics 120: 13-22.\n\nSheremet, O., John R. Healey, Christopher P. Quine and Nick Hanley (2017). Public Preferences and Willingness to Pay for Forest Disease Control in the UK. Journal of Agricultural Economics 68(3), 781-800"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B39='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C39='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D39='Summary Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Recreation","General public","Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species","Forest in Malaysia\nForest in Southern Scandinavia\nForest Poland\nForest in Denmark\nForests in the US","Contingent valuation\nChoice experiment",null,"Abdullah, M., Mamat, M.P., Yaacob,  M.P.,  Radam, A., Fui, L.H. (2015). Estimate the conservation value of biodiversity in national heritage site: A case of Forest Research Institute Malaysia. Procedia Environmental Sciences 30 ( 2015 ) 180 – 185\n\nBartczak, A. (2015). The role of social and environmental attitudes in non-market valuation. An application to the Białowieża Forest. Forest Policy and Economics 50 (2015) 357–365\n\nHäyhä, T., Franzese, P., Paletto, A., Fath, B.D. (2015). Assessing, valuing, and mapping ecosystem services in Alpine forests. Ecosystem Services 14: 12-23.\n\nElberg Nielsen, A.S.  Thomas Hedemark Lundhede, Jette Bredahl Jacobsen (2016). Local consequences of national policie - A spatial analysis of preferences for forest access reduction. Forest Policy and Economics 73 (2016) 68–77\n\nVarela, E., Jette Bredahl Jacobsen, Robert Mavsar (2017). Social demand for multiple beneﬁts provided by Aleppo pine forest management in Catalonia, Spain. Reg Environ Change 17:539-550"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B40='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C40='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D40='Summary Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Recreation","Recreational users","Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species",null,null,null,"Abildtrup, J., et al. (2014). \"Combining RP and SP data while accounting for large choice sets and travel mode – an application to forest recreation.\" Journal of Environmental Economics and Policy 4(2): 177-201.\n\nBateman, I. J., et al. (1996). \"Household Willingness to Pay and Farmers' Willingness to Accept Compensation for Establishing a Recreational Woodland.\" Journal of Environmental Planning and Management 39(1): 21-43.\n\nBateman, I. J., et al. (1999). \"Developing a methodology for benefit transfers using geographical information systems: Modelling demand for woodland recreation.\" Regional Studies 33(3): 191-205.\n\nBennett, R., et al. (1995). \"The Value of Footpath Provision in the Countryside: A Case-study of Public Access to Urban-fringe Woodland.\" Journal of Environmental Planning and Management 38(3): 409-418.\n\nBishop, K. (1992). \"Assessing the benefits of community forests: an evaluation of the recreational use benefits of two urban fringe woodlands.\" Journal of Environmental Planning and Management 35(1): 63-76.\n\nBullock, C., et al. (2014). \"Realising the ecosystem-service value of native woodland in Ireland.\" New Zealand Journal of Forestry Science 44(Suppl 1): S4.\n\nChristie, M., et al. (2006). Valuing forest recreation activities: Final Phase 2 Report.\n\nChristie, M., et al. (2006). \"Valuing the diversity of biodiversity.\" Ecological Economics 58(2): 304-317.\n\nChristie, M., et al. (2011). Economic Valuation of the Benefits of Ecosystem Services delivered by the UK Biodiversity Action Plan, Report to Defra, London.\n\nEftec (2010). The economic contribution of the Forestry Commission public forest estate in England, Final Report to Forestry Commission.\n\nEftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.\n\nEurope Economics (2015). The economic benefits of woodland, A report for the Woodland Trust, London, UK.\n\nHorne, P., et al. (2005). \"Multiple-use management of forest recreation sites: a spatially explicit choice experiment.\" Forest Ecology and Management 207(1-2): 189-199.\n\nMacmillan, D. C. and E. I. Duff (1998). \"Estimating the non-market costs and benefits of native woodland restoration using the contingent valuation method.\" Forestry 71(3): 247-259.\n\nQuine, C. P., et al. (2011). UK National Ecosystem Assessment, Chapter 8: Woodlands, UNEP-WCMC, Cambridge.\n\nScarpa, R. (2003). Social & Environmental Benefits of Forestry Phase 2 : The Recreation Value of Woodlands, Report to Forestry Commission, Edinburgh.\n\nSen, A., et al. (2014). \"Economic Assessment of the Recreational Value of Ecosystems: Methodological Development and National and Local Application.\" Environmental & Resource Economics 57(2): 233-249.\n\nTermansen, M., et al. (2013). \"Modelling and mapping spatial heterogeneity in forest recreation services.\" Ecological Economics 92: 48-57.\n\nTinch, R., et al. (2009). Economic valuation of uplands ecosystem services, A Natural England Commissioned Report NECR029.\n\nValatin, G. and J. Starling (2010). UK NEA Economic Analysis Report: Valuation of ecosystem services provided by UK woodlands UNEP-WCMC, Cambridge.\n\nVerkerk, P. J., et al. (2014). \"Assessing impacts of intensified biomass production and biodiversity protection on ecosystem services provided by European forests.\" Ecosystem Services 9: 155-165.\n\nWillis, K. G. and G. D. Garrod (1991). \"An Individual Travel-Cost Method of Evaluating Forest Recreation.\" Journal of Agricultural Economics 42(1): 33-42.","Moons, E. (2002). Cost- benefit analysis of the location of new forest land, Energy, Transport and Environment Working Papers Series.\n\nMoons, E., et al. (2008). \"Optimal location of new forests in a suburban region.\" Journal of Forest Economics 14(1): 5-27.\n\nSmailes, P. J. and D. L. Smith (2001). \"The growing recreational use of state forest lands in the Adelaide hills.\" Land Use Policy 18(2): 137-152.\n\nTyrväinen, L. (2001). \"Economic valuation of urban forest benefits in Finland.\" Journal of Environmental Management 62(1): 75-92.\n\nTyrväinen, L. and H. Väänänen (1998). \"The economic value of urban forest amenities: an application of the contingent valuation method.\" Landscape and Urban Planning 43(1–3): 105-118."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B41='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C41='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D41='Summary Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Spiritual and cultural","Ceremonial and celebration participants","Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species",null,null,null,"Christie, M., et al. (2006). \"Valuing the diversity of biodiversity.\" Ecological Economics 58(2): 304-317.\n\nChristie, M., et al. (2011). Economic Valuation of the Benefits of Ecosystem Services delivered by the UK Biodiversity Action Plan, Report to Defra, London.\n\nMacmillan, D. C. (2002). Social & Environmental Benefits of Forestry Phase 2: The Value of Managing Forests to Protect Archaeology, Report to Forestry Commission, Edinburgh."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B42='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C42='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D42='Summary Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Spiritual and cultural","Non users","Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species",null,null,null,"Christie, M., et al. (2006). \"Valuing the diversity of biodiversity.\" Ecological Economics 58(2): 304-317.\n\nChristie, M., et al. (2011). Economic Valuation of the Benefits of Ecosystem Services delivered by the UK Biodiversity Action Plan, Report to Defra, London.\n\nMacmillan, D. C. (2002). Social & Environmental Benefits of Forestry Phase 2: The Value of Managing Forests to Protect Archaeology, Report to Forestry Commission, Edinburgh.\n\nTinch, R., et al. (2009). Economic valuation of uplands ecosystem services, A Natural England Commissioned Report NECR029."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B43='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C43='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D43='Summary Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Timber products - commercial","Foresters","Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species","Time of year, distance from production, substitute inputs (manual pollination)"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B44='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C44='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D44='Summary Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Timber products - subsistence","Foresters","Presence/absence, presence of high priority species, diversity (genetic, index, abundance), representative species"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B45='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C45='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D45='Summary Search'!$B$6,1,0)))","v":1},"Environment","Artistic production","Artists","Area, visibility, quality (habitat, condition, composition)"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B46='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C46='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D46='Summary Search'!$B$6,1,0)))","v":1},"Environment","Housing services","Residential property owners","Area, visibility, quality (habitat, condition, composition)",null,null,null,"Garrod, G. and K. Willis (1992). \"The amenity value of woodland in Great Britain: A comparison of economic estimates.\" Environmental and Resource Economics 2(4): 415-434.\n\nRegeneris Consulting (2009). The Economic Contribution of The Mersey Forest's Objective One-Funded Investments A Final Report by Regeneris Consulting, Cheshire, UK.","Anthon, S. (2003). The value of urban afforestation: A hedonic pricing case. Recent Accomplishments in Applied Forest Economics Research. F. Helles, N. Strange and L. Wichmann, Springer Netherlands. 74: 81-90.\n\nDare, A.M.,Idris Akanbi Ayinde, Adebayo Musediq Shittu, (2015) \"Urban trees forest management in Abeokuta Metropolis, Ogun State, Nigeria: An application of contingent valuation method\", Management of Environmental Quality: An International Journal, Vol. 26 Issue: 1, pp.72-83\n\nDonovan, G. H. and D. T. Butry (2011). \"The effect of urban trees on the rental price of single-family homes in Portland, Oregon.\" Urban Forestry & Urban Greening 10(3): 163-168.\n\nDonovan, G. H. and D. T. Butry (2010). \"Trees in the city: Valuing street trees in Portland, Oregon.\" Landscape and urban planning 94(2): 77-83.\n\nPerino, G., et al. (2014). \"The Value of Urban Green Space in Britain: A Methodological Framework for Spatially Referenced Benefit Transfer.\" Environmental & Resource Economics 57(2): 251-272.\n\nTyrvainen, L. (1997). \"The amenity value of the urban forest: An application of the hedonic pricing method.\" Landscape and Urban Planning 37(3-4): 211-222.\n\nTyrväinen, L. and A. Miettinen (2000). \"Property Prices and Urban Forest Amenities.\" Journal of Environmental Economics and Management 39(2): 205-223."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B47='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C47='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D47='Summary Search'!$B$6,1,0)))","v":1},"Environment","Learning services","Education providers","Area, visibility, quality (habitat, condition, composition)"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B48='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C48='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D48='Summary Search'!$B$6,1,0)))","v":1},"Environment","Learning services","Independent learners","Area, visibility, quality (habitat, condition, composition)"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B49='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C49='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D49='Summary Search'!$B$6,1,0)))","v":1},"Environment","Mental health","General public","Area, visibility, quality (habitat, condition, composition)","Other inputs into mental health including physical health, lifestyle (employment, income, stress), open space, water quality, nutrition etc.\nAge"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B50='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C50='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D50='Summary Search'!$B$6,1,0)))","v":1},"Environment","Mental health","Health care providers","Area, visibility, quality (habitat, condition, composition)","Other inputs into mental health including physical health, lifestyle (employment, income, stress), open space, water quality, nutrition etc.\nAge"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B51='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C51='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D51='Summary Search'!$B$6,1,0)))","v":1},"Environment","Mental health","Insurance companies","Area, visibility, quality (habitat, condition, composition)","Other inputs into mental health including physical health, lifestyle (employment, income, stress), open space, water quality, nutrition etc.\nAge"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B52='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C52='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D52='Summary Search'!$B$6,1,0)))","v":1},"Environment","Non-use value production","General public","Area, visibility, quality (habitat, condition, composition)",null,"Choice experiment",null,"Bakhtiaria, F.,  Jacobsen, F.B., Thorsen, B.J., Lundhede, T.H., Strange,N., Boman, M. (2018). Disentangling Distance and Country Effects on the Value of Conservation across National Borders. Ecological Economics 147: 11-20","Borzykowski, N., Baranzini, A., Maradan, D. (2018). Scope Effects in Contingent Valuation: Does the Assumed Statistical Distribution of WTP Matter? Ecological Economics 144: 319-329"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B53='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C53='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D53='Summary Search'!$B$6,1,0)))","v":1},"Environment","Non-use value production","Urban populations","Area, visibility, quality (habitat, condition, composition)","Reforestation in China","Contingent valuation",null,null,"Ahlheim, M., Börger, T., Frör, O. (2015). Replacing rubber plantations by rain forest in Southwest China—who would gain and how much? Environ Monit Assess (2015) 187: 3"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B54='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C54='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D54='Summary Search'!$B$6,1,0)))","v":1},"Environment","Non-use value production","Non users","Area, visibility, quality (habitat, condition, composition)",null,null,null,"Bullock, C. H. and J. Kay (1997). \"Preservation and Change in the Upland Landscape: The Public Benefits of Grazing Management.\" Journal of Environmental Planning and Management 40(3): 315-334."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B55='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C55='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D55='Summary Search'!$B$6,1,0)))","v":1},"Environment","Physical health","Recreational users","Area, visibility, quality (habitat, condition, composition)",null,null,null,"Holt, A. and Rouquette, J. (2017). The quantification and valuation of the environmental, social and economic impacts of the Forest of Marston Vale. Report prepared for: The Forest of Marston Vale, March 2017"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B56='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C56='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D56='Summary Search'!$B$6,1,0)))","v":1},"Environment","Recreation","Recreational users","Area, visibility, quality (habitat, condition, composition)",null,null,null,"Abildtrup, J., et al. (2014). \"Combining RP and SP data while accounting for large choice sets and travel mode – an application to forest recreation.\" Journal of Environmental Economics and Policy 4(2): 177-201.\n\nAgimass, F., Lundhede, T., Panduro, T.E., Bredahl Jacobsen, J. (in press). The choice of forest site for recreation: A revealed preference analysis using spatial data. Ecosystem Services \n\nBateman, I. J., et al. (1996). \"Household Willingness to Pay and Farmers' Willingness to Accept Compensation for Establishing a Recreational Woodland.\" Journal of Environmental Planning and Management 39(1): 21-43.\n\nBateman, I. J., et al. (1999). \"Developing a methodology for benefit transfers using geographical information systems: Modelling demand for woodland recreation.\" Regional Studies 33(3): 191-205.\n\nBateman, I. J., et al. (2014). UK National Ecosystem Assessment Follow-on. Work Package Report 3: Economic value of ecosystem services. UNEP-WCMC, LWEC, UK.\n\nBennett, R., et al. (1995). \"The Value of Footpath Provision in the Countryside: A Case-study of Public Access to Urban-fringe Woodland.\" Journal of Environmental Planning and Management 38(3): 409-418.\n\nBishop, K. (1992). \"Assessing the benefits of community forests: an evaluation of the recreational use benefits of two urban fringe woodlands.\" Journal of Environmental Planning and Management 35(1): 63-76.\n\nBullock, C., et al. (2014). \"Realising the ecosystem-service value of native woodland in Ireland.\" New Zealand Journal of Forestry Science 44(Suppl 1): S4.\n\nBullock, C. H. and J. Kay (1997). \"Preservation and Change in the Upland Landscape: The Public Benefits of Grazing Management.\" Journal of Environmental Planning and Management 40(3): 315-334.\n\nChristie, M., et al. (2006). Valuing forest recreation activities: Final Phase 2 Report.\n\nDay, B. and Smith, G. (2018) The ORVal Recreation Demand Model: Extension Project, Land Environment, Economics and Policy Institute (LEEP), University of Exeter.\n\nEftec (2010). The economic contribution of the Forestry Commission public forest estate in England, Final Report to Forestry Commission.\n\nEftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.\n\nEurope Economics (2015). The economic benefits of woodland, A report for the Woodland Trust, London, UK.\n\nForest Enterprise England (2016). Natural capital accounts 2015-16. \n\nGiergiczny, M., Czajkowski, M., Żylicz, T.,  Angelstam, P. (2015). Choice experiment assessment of public preferences for forest structural attributes. Ecological Economics 119: 8-23.\n\nHolt, A. and Rouquette, J. (2017). The quantification and valuation of the environmental, social and economic impacts of the Forest of Marston Vale. Report prepared for: The Forest of Marston Vale, March 2017\n\nJones, A., et al. (2010). \"Estimating Arrival Numbers for Informal Recreation: A Geographical Approach and Case Study of British Woodlands.\" Sustainability 2(2): 684-701.\n\nJones, A. P., et al. (2003). Estimating arrival numbers and values for informal recreational use of British woodlands, Final report to the Forestry Commission.\n\nLovett, A. A., et al. (1997). \"Improving benefit transfer demand functions: A GIS approach.\" Journal of Environmental Management 51(4): 373-389.\n\nQuine, C. P., et al. (2011). UK National Ecosystem Assessment, Chapter 8: Woodlands, UNEP-WCMC, Cambridge.\n\nRegeneris Consulting (2009). The Economic Contribution of The Mersey Forest's Objective One-Funded Investments A Final Report by Regeneris Consulting, Cheshire, UK.\n\nScarpa, R. (2003). Social & Environmental Benefits of Forestry Phase 2 : The Recreation Value of Woodlands, Report to Forestry Commission, Edinburgh.\n\nSen, A., et al. (2014). \"Economic Assessment of the Recreational Value of Ecosystems: Methodological Development and National and Local Application.\" Environmental & Resource Economics 57(2): 233-249.\n\nTermansen, M., et al. (2013). \"Modelling and mapping spatial heterogeneity in forest recreation services.\" Ecological Economics 92: 48-57.\n\nTinch, R., et al. (2009). Economic valuation of uplands ecosystem services, A Natural England Commissioned Report NECR029.\n\nVerkerk, P. J., et al. (2014). \"Assessing impacts of intensified biomass production and biodiversity protection on ecosystem services provided by European forests.\" Ecosystem Services 9: 155-165.\n\nWillis, K. G. and G. D. Garrod (1991). \"An Individual Travel-Cost Method of Evaluating Forest Recreation.\" Journal of Agricultural Economics 42(1): 33-42.","Anthon, S. (2003). The value of urban afforestation: A hedonic pricing case. Recent Accomplishments in Applied Forest Economics Research. F. Helles, N. Strange and L. Wichmann, Springer Netherlands. 74: 81-90.\n\nBolund, P. and S. Hunhammar (1999). \"Ecosystem services in urban areas.\" Ecological Economics 29(2): 293-301.\n\nCalleja, A., Diaz-Balteiro, L., Iglesias-Merchan, C., Soliño, M. (2017). Acoustic and economic valuation of soundscape: An application to the\n‘Retiro’ Urban Forest Park. Urban Forestry and Urban Greening 27: 272-278 \n\nLupp, G., Förster, B., Kantelberg, V., Markmann, T.,Naumann, J., Honert, C., Koch, M., Pauleit, S. (2016). Assessing the Recreation Value of Urban Woodland Using the Ecosystem Service Approach in Two Forests in the Munich Metropolitan Region. Sustainability 2016, 8, 1156\n\nSmailes, P. J. and D. L. Smith (2001). \"The growing recreational use of state forest lands in the Adelaide hills.\" Land Use Policy 18(2): 137-152.\n\nTyrväinen, L. (2001). \"Economic valuation of urban forest benefits in Finland.\" Journal of Environmental Management 62(1): 75-92.\n\nTyrväinen, L. and H. Väänänen (1998). \"The economic value of urban forest amenities: an application of the contingent valuation method.\" Landscape and Urban Planning 43(1–3): 105-118."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B57='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C57='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D57='Summary Search'!$B$6,1,0)))","v":1},"Environment","Recreation","General public","Area, visibility, quality (habitat, condition, composition)",null,null,null,"\nCzajkowski, M., Wiktor Budzi nski, Danny Campbell,  Marek Giergiczny, Nick Hanley (2017). Spatial Heterogeneity ofWillingness to Pay for Forest Management. Environ Resource Econ (2017) 68:705–727\n\nFilyushkina, A., Fitalew Agimass, Thomas Lundhede, Niels Strange, Jette Bredahl Jacobsen (2017). Preferences for valuation in forest characteristics: Does diversity between stands matter? Ecological Economics 140: 22-29.\n\nOjea, E., Loureiro, M.L., Allo' M., Barrio, M. (2016). Ecosystem Services and REDD: Estimating the Benefits of Non-Carbon Services in Worldwide Forests. World Development 78: 246–261\n\nRoesch-McNally, G.E., Rabotyagov, S.S. (2016).  Paying for Forest Ecosystem Services: Voluntary Versus Mandatory Payments. Environmental Management 57: 585-600."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B58='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C58='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D58='Summary Search'!$B$6,1,0)))","v":1},"Environment","Spiritual and cultural","Ceremonial and celebration participants","Area, visibility, quality (habitat, condition, composition)",null,null,null,"Macmillan, D. C. (2002). Social & Environmental Benefits of Forestry Phase 2: The Value of Managing Forests to Protect Archaeology, Report to Forestry Commission, Edinburgh."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B59='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C59='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D59='Summary Search'!$B$6,1,0)))","v":1},"Environment","Spiritual and cultural","Non users","Area, visibility, quality (habitat, condition, composition)",null,null,null,"Bullock, C., et al. (2014). \"Realising the ecosystem-service value of native woodland in Ireland.\" New Zealand Journal of Forestry Science 44(Suppl 1): S4.\n\nMacmillan, D. C. (2002). Social & Environmental Benefits of Forestry Phase 2: The Value of Managing Forests to Protect Archaeology, Report to Forestry Commission, Edinburgh."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B60='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C60='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D60='Summary Search'!$B$6,1,0)))","v":1},"Soil","Food - agriculture and fisheries","Farmers","soil compaction, soil moisture content, soil ph, species presence/abundance, microbial activity, biomass","Water quality\nSubstitutes\nFlora, fauna and fungi\nSoil quality\nPrice of seeds\nDemand for agricultural/fisheries products"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B61='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C61='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D61='Summary Search'!$B$6,1,0)))","v":1},"Soil","Food - commercial","Hunter gatherers","soil compaction, soil moisture content, soil ph, species presence/abundance, microbial activity, biomass"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B62='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C62='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D62='Summary Search'!$B$6,1,0)))","v":1},"Soil","Food - subsistence","Non timber forest product extractors","soil compaction, soil moisture content, soil ph, species presence/abundance, microbial activity, biomass",null,null,null,"Schaafsma, M., et al. (2014). \"The importance of local forest benefits: Economic valuation of Non-Timber Forest Products in the Eastern Arc Mountains in Tanzania.\" Global Environmental Change-Human and Policy Dimensions 24: 295-305.\n\nSchaafsma, M., et al. (2012). \"Towards transferable functions for extraction of Non-timber Forest Products: A case study on charcoal production in Tanzania.\" Ecological Economics 80: 48-62."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B63='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C63='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D63='Summary Search'!$B$6,1,0)))","v":1},"Soil","Housing services","Residential property owners","soil compaction, soil moisture content, soil ph, species presence/abundance, microbial activity, biomass",null,null,null,null,"Tyrvainen, L. (1997). \"The amenity value of the urban forest: An application of the hedonic pricing method.\" Landscape and Urban Planning 37(3-4): 211-222.\n\nTyrväinen, L. and A. Miettinen (2000). \"Property Prices and Urban Forest Amenities.\" Journal of Environmental Economics and Management 39(2): 205-223."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B64='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C64='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D64='Summary Search'!$B$6,1,0)))","v":1},"Soil","Industrial and commercial production with timber inputs","Non timber forest product extractors","soil compaction, soil moisture content, soil ph, species presence/abundance, microbial activity, biomass","Mineral ",null,null,"Forest Enterprise England (2016). Natural capital accounts 2015-16. "]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B65='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C65='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D65='Summary Search'!$B$6,1,0)))","v":1},"Soil","Learning services","Education providers","soil compaction, soil moisture content, soil ph, species presence/abundance, microbial activity, biomass"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B66='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C66='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D66='Summary Search'!$B$6,1,0)))","v":1},"Soil","Learning services","Independent learners","soil compaction, soil moisture content, soil ph, species presence/abundance, microbial activity, biomass"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B67='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C67='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D67='Summary Search'!$B$6,1,0)))","v":1},"Soil","Non-use value production","Non users","soil compaction, soil moisture content, soil ph, species presence/abundance, microbial activity, biomass"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B68='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C68='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D68='Summary Search'!$B$6,1,0)))","v":1},"Soil","Recreation","Recreational users","soil compaction, soil moisture content, soil ph, species presence/abundance, microbial activity, biomass",null,null,null,"Bateman, I. J., et al. (1996). \"Household Willingness to Pay and Farmers' Willingness to Accept Compensation for Establishing a Recreational Woodland.\" Journal of Environmental Planning and Management 39(1): 21-43.\n\nBateman, I. J., et al. (1999). \"Developing a methodology for benefit transfers using geographical information systems: Modelling demand for woodland recreation.\" Regional Studies 33(3): 191-205.\n\nBishop, K. (1992). \"Assessing the benefits of community forests: an evaluation of the recreational use benefits of two urban fringe woodlands.\" Journal of Environmental Planning and Management 35(1): 63-76.\n\nChristie, M., et al. (2006). Valuing forest recreation activities: Final Phase 2 Report.\n\nEftec (2010). The economic contribution of the Forestry Commission public forest estate in England, Final Report to Forestry Commission.\n\nEftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.\n\nEurope Economics (2015). The economic benefits of woodland, A report for the Woodland Trust, London, UK.\n\nScarpa, R. (2003). Social & Environmental Benefits of Forestry Phase 2 : The Recreation Value of Woodlands, Report to Forestry Commission, Edinburgh.\n\nSen, A., et al. (2014). \"Economic Assessment of the Recreational Value of Ecosystems: Methodological Development and National and Local Application.\" Environmental & Resource Economics 57(2): 233-249.\n\nTermansen, M., et al. (2013). \"Modelling and mapping spatial heterogeneity in forest recreation services.\" Ecological Economics 92: 48-57.\n\nTinch, R., et al. (2009). Economic valuation of uplands ecosystem services, A Natural England Commissioned Report NECR029.\n\nVerkerk, P. J., et al. (2014). \"Assessing impacts of intensified biomass production and biodiversity protection on ecosystem services provided by European forests.\" Ecosystem Services 9: 155-165.\n\nWillis, K. G. and G. D. Garrod (1991). \"An Individual Travel-Cost Method of Evaluating Forest Recreation.\" Journal of Agricultural Economics 42(1): 33-42.","Smailes, P. J. and D. L. Smith (2001). \"The growing recreational use of state forest lands in the Adelaide hills.\" Land Use Policy 18(2): 137-152.\n\nTyrväinen, L. (2001). \"Economic valuation of urban forest benefits in Finland.\" Journal of Environmental Management 62(1): 75-92.\n\nTyrväinen, L. and H. Väänänen (1998). \"The economic value of urban forest amenities: an application of the contingent valuation method.\" Landscape and Urban Planning 43(1–3): 105-118."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B69='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C69='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D69='Summary Search'!$B$6,1,0)))","v":1},"Soil","Spiritual and cultural","Ceremonial and celebration participants","soil compaction, soil moisture content, soil ph, species presence/abundance, microbial activity, biomass"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B70='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C70='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D70='Summary Search'!$B$6,1,0)))","v":1},"Soil","Spiritual and cultural","Non users","soil compaction, soil moisture content, soil ph, species presence/abundance, microbial activity, biomass"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B71='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C71='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D71='Summary Search'!$B$6,1,0)))","v":1},"Soil","Waste discharge","Commercial property owners","soil compaction, soil moisture content, soil ph, species presence/abundance, microbial activity, biomass"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B72='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C72='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D72='Summary Search'!$B$6,1,0)))","v":1},"Sound_Scent","Artistic production","Artists","Decibels, odour unit per cubic meter, concentration of odour, ability to differentiate between smells, odour quality"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B73='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C73='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D73='Summary Search'!$B$6,1,0)))","v":1},"Sound_Scent","Housing services","Residential property owners","Decibels, odour unit per cubic meter, concentration of odour, ability to differentiate between smells, odour quality",null,null,null,"Eftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.","Bolund, P. and S. Hunhammar (1999). \"Ecosystem services in urban areas.\" Ecological Economics 29(2): 293-301.\n\nDonovan, G. H. and D. T. Butry (2011). \"The effect of urban trees on the rental price of single-family homes in Portland, Oregon.\" Urban Forestry & Urban Greening 10(3): 163-168.\n\nDonovan, G. H. and D. T. Butry (2010). \"Trees in the city: Valuing street trees in Portland, Oregon.\" Landscape and urban planning 94(2): 77-83.\n\nPerino, G., et al. (2014). \"The Value of Urban Green Space in Britain: A Methodological Framework for Spatially Referenced Benefit Transfer.\" Environmental & Resource Economics 57(2): 251-272.\n\nTyrvainen, L. (1997). \"The amenity value of the urban forest: An application of the hedonic pricing method.\" Landscape and Urban Planning 37(3-4): 211-222.\n\nTyrväinen, L. and A. Miettinen (2000). \"Property Prices and Urban Forest Amenities.\" Journal of Environmental Economics and Management 39(2): 205-223."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B74='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C74='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D74='Summary Search'!$B$6,1,0)))","v":1},"Sound_Scent","Learning services","Education providers","Decibels, odour unit per cubic meter, concentration of odour, ability to differentiate between smells, odour quality"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B75='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C75='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D75='Summary Search'!$B$6,1,0)))","v":1},"Sound_Scent","Learning services","Independent learners","Decibels, odour unit per cubic meter, concentration of odour, ability to differentiate between smells, odour quality"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B76='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C76='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D76='Summary Search'!$B$6,1,0)))","v":1},"Sound_Scent","Mental health","General public","Decibels, odour unit per cubic meter, concentration of odour, ability to differentiate between smells, odour quality","Other inputs into mental health including physical health, lifestyle (employment, income, stress), open space, water quality, nutrition etc.\nAge"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B77='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C77='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D77='Summary Search'!$B$6,1,0)))","v":1},"Sound_Scent","Mental health","Health care providers","Decibels, odour unit per cubic meter, concentration of odour, ability to differentiate between smells, odour quality","Other inputs into mental health including physical health, lifestyle (employment, income, stress), open space, water quality, nutrition etc.\nAge"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B78='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C78='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D78='Summary Search'!$B$6,1,0)))","v":1},"Sound_Scent","Mental health","Insurance companies","Decibels, odour unit per cubic meter, concentration of odour, ability to differentiate between smells, odour quality","Other inputs into mental health including physical health, lifestyle (employment, income, stress), open space, water quality, nutrition etc.\nAge"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B79='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C79='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D79='Summary Search'!$B$6,1,0)))","v":1},"Sound_Scent","Non-use value production","Non users","Decibels, odour unit per cubic meter, concentration of odour, ability to differentiate between smells, odour quality"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B80='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C80='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D80='Summary Search'!$B$6,1,0)))","v":1},"Sound_Scent","Physical health","General public","Decibels, odour unit per cubic meter, concentration of odour, ability to differentiate between smells, odour quality","Other inputs into health including lifestyle, illnesses, open space, water quality, nutrition etc."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B81='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C81='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D81='Summary Search'!$B$6,1,0)))","v":1},"Sound_Scent","Physical health","Health care providers","Decibels, odour unit per cubic meter, concentration of odour, ability to differentiate between smells, odour quality","Other inputs into health including lifestyle, illnesses, open space, water quality, nutrition etc."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B82='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C82='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D82='Summary Search'!$B$6,1,0)))","v":1},"Sound_Scent","Physical health","Insurance companies","Decibels, odour unit per cubic meter, concentration of odour, ability to differentiate between smells, odour quality","Other inputs into health including lifestyle, illnesses, open space, water quality, nutrition etc."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B83='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C83='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D83='Summary Search'!$B$6,1,0)))","v":1},"Sound_Scent","Recreation","Recreational users","Decibels, odour unit per cubic meter, concentration of odour, ability to differentiate between smells, odour quality",null,null,null,"Abildtrup, J., et al. (2014). \"Combining RP and SP data while accounting for large choice sets and travel mode – an application to forest recreation.\" Journal of Environmental Economics and Policy 4(2): 177-201.\n\nBateman, I. J., et al. (1996). \"Household Willingness to Pay and Farmers' Willingness to Accept Compensation for Establishing a Recreational Woodland.\" Journal of Environmental Planning and Management 39(1): 21-43.\n\nBateman, I. J., et al. (1999). \"Developing a methodology for benefit transfers using geographical information systems: Modelling demand for woodland recreation.\" Regional Studies 33(3): 191-205.\n\nBennett, R., et al. (1995). \"The Value of Footpath Provision in the Countryside: A Case-study of Public Access to Urban-fringe Woodland.\" Journal of Environmental Planning and Management 38(3): 409-418.\n\nBishop, K. (1992). \"Assessing the benefits of community forests: an evaluation of the recreational use benefits of two urban fringe woodlands.\" Journal of Environmental Planning and Management 35(1): 63-76.\n\nChristie, M., et al. (2006). Valuing forest recreation activities: Final Phase 2 Report.\n\nEftec (2010). The economic contribution of the Forestry Commission public forest estate in England, Final Report to Forestry Commission.\n\nEftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.\n\nEurope Economics (2015). The economic benefits of woodland, A report for the Woodland Trust, London, UK.\n\nScarpa, R. (2003). Social & Environmental Benefits of Forestry Phase 2 : The Recreation Value of Woodlands, Report to Forestry Commission, Edinburgh.\n\nSen, A., et al. (2014). \"Economic Assessment of the Recreational Value of Ecosystems: Methodological Development and National and Local Application.\" Environmental & Resource Economics 57(2): 233-249.\n\nTermansen, M., et al. (2013). \"Modelling and mapping spatial heterogeneity in forest recreation services.\" Ecological Economics 92: 48-57.\n\nTinch, R., et al. (2009). Economic valuation of uplands ecosystem services, A Natural England Commissioned Report NECR029.\n\nVerkerk, P. J., et al. (2014). \"Assessing impacts of intensified biomass production and biodiversity protection on ecosystem services provided by European forests.\" Ecosystem Services 9: 155-165.\n\nWillis, K. G. and G. D. Garrod (1991). \"An Individual Travel-Cost Method of Evaluating Forest Recreation.\" Journal of Agricultural Economics 42(1): 33-42.","Smailes, P. J. and D. L. Smith (2001). \"The growing recreational use of state forest lands in the Adelaide hills.\" Land Use Policy 18(2): 137-152.\n\nTyrväinen, L. (2001). \"Economic valuation of urban forest benefits in Finland.\" Journal of Environmental Management 62(1): 75-92.\n\nTyrväinen, L. and H. Väänänen (1998). \"The economic value of urban forest amenities: an application of the contingent valuation method.\" Landscape and Urban Planning 43(1–3): 105-118."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B84='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C84='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D84='Summary Search'!$B$6,1,0)))","v":1},"Sound_Scent","Spiritual and cultural","Ceremonial and celebration participants","Decibels, odour unit per cubic meter, concentration of odour, ability to differentiate between smells, odour quality"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B85='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C85='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D85='Summary Search'!$B$6,1,0)))","v":1},"Sound_Scent","Spiritual and cultural","Non users","Decibels, odour unit per cubic meter, concentration of odour, ability to differentiate between smells, odour quality"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B86='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C86='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D86='Summary Search'!$B$6,1,0)))","v":1},"Timber","Artistic production","Artists","Volume m3 , quality of timber (grade, diameter), species, canopy density"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B87='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C87='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D87='Summary Search'!$B$6,1,0)))","v":1},"Timber","Food - agriculture and fisheries","Farmers","Volume m3 , quality of timber (grade, diameter), species, canopy density","Water quality\nSubstitutes\nFlora, fauna and fungi\nSoil quality\nPrice of seeds\nDemand for agricultural/fisheries products"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B88='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C88='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D88='Summary Search'!$B$6,1,0)))","v":1},"Timber","Food - commercial","Hunter gatherers","Volume m3 , quality of timber (grade, diameter), species, canopy density"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B89='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C89='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D89='Summary Search'!$B$6,1,0)))","v":1},"Timber","Food - subsistence","Non timber forest product extractors","Volume m3 , quality of timber (grade, diameter), species, canopy density",null,null,null,"Quine, C. P., et al. (2011). UK National Ecosystem Assessment, Chapter 8: Woodlands, UNEP-WCMC, Cambridge.\n\nSchaafsma, M., et al. (2014). \"The importance of local forest benefits: Economic valuation of Non-Timber Forest Products in the Eastern Arc Mountains in Tanzania.\" Global Environmental Change-Human and Policy Dimensions 24: 295-305.\n\nSchaafsma, M., et al. (2012). \"Towards transferable functions for extraction of Non-timber Forest Products: A case study on charcoal production in Tanzania.\" Ecological Economics 80: 48-62."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B90='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C90='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D90='Summary Search'!$B$6,1,0)))","v":1},"Timber","Housing services","Residential property owners","Volume m3 , quality of timber (grade, diameter), species, canopy density",null,null,null,"Garrod, G. and K. Willis (1992). \"The amenity value of woodland in Great Britain: A comparison of economic estimates.\" Environmental and Resource Economics 2(4): 415-434.","Donovan, G. H. and D. T. Butry (2011). \"The effect of urban trees on the rental price of single-family homes in Portland, Oregon.\" Urban Forestry & Urban Greening 10(3): 163-168.\n\nDonovan, G. H. and D. T. Butry (2010). \"Trees in the city: Valuing street trees in Portland, Oregon.\" Landscape and urban planning 94(2): 77-83.\n\nTyrvainen, L. (1997). \"The amenity value of the urban forest: An application of the hedonic pricing method.\" Landscape and Urban Planning 37(3-4): 211-222.\n\nTyrväinen, L. and A. Miettinen (2000). \"Property Prices and Urban Forest Amenities.\" Journal of Environmental Economics and Management 39(2): 205-223."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B91='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C91='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D91='Summary Search'!$B$6,1,0)))","v":1},"Timber","Industrial and commercial production with timber inputs","Producers using timber inputs","Volume m3 , quality of timber (grade, diameter), species, canopy density",null,null,null,"Bateman, I. J., et al. (2014). UK National Ecosystem Assessment Follow-on. Work Package Report 3: Economic value of ecosystem services. UNEP-WCMC, LWEC, UK.\n\nEftec (2010). The economic contribution of the Forestry Commission public forest estate in England, Final Report to Forestry Commission.\n\nEftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.\n\nEurope Economics (2015). The economic benefits of woodland, A report for the Woodland Trust, London, UK.\n\nForest Enterprise England (2016). Natural capital accounts 2015-16. \n\nHäyhä, T., Franzese, P., Paletto, A., Fath, B.D. (2015). Assessing, valuing, and mapping ecosystem services in Alpine forests. Ecosystem Services 14: 12-23.\n\nHolt, A. and Rouquette, J. (2017). The quantification and valuation of the environmental, social and economic impacts of the Forest of Marston Vale. Report prepared for: The Forest of Marston Vale, March 2017\n\nMasiero, M., Davide M. Pettenella, Laura Secco (2016). From failure to value: economic valuation for a selected set of products and services from Mediterranean forests. Forest Systems 25(1): 16 pages\n\nVerkerk, P. J., et al. (2014). \"Assessing impacts of intensified biomass production and biodiversity protection on ecosystem services provided by European forests.\" Ecosystem Services 9: 155-165.","Moons, E. (2002). Cost- benefit analysis of the location of new forest land, Energy, Transport and Environment Working Papers Series.\n\nMoons, E., et al. (2008). \"Optimal location of new forests in a suburban region.\" Journal of Forest Economics 14(1): 5-27."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B92='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C92='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D92='Summary Search'!$B$6,1,0)))","v":1},"Timber","Learning services","Education providers","Volume m3 , quality of timber (grade, diameter), species, canopy density"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B93='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C93='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D93='Summary Search'!$B$6,1,0)))","v":1},"Timber","Learning services","Independent learners","Volume m3 , quality of timber (grade, diameter), species, canopy density"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B94='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C94='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D94='Summary Search'!$B$6,1,0)))","v":1},"Timber","Non-use value production","Non users","Volume m3 , quality of timber (grade, diameter), species, canopy density"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B95='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C95='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D95='Summary Search'!$B$6,1,0)))","v":1},"Timber","Pharmaceuticals","Pharmaceutical companies","Volume m3 , quality of timber (grade, diameter), species, canopy density"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B96='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C96='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D96='Summary Search'!$B$6,1,0)))","v":1},"Timber","Recreation","Recreational users","Volume m3 , quality of timber (grade, diameter), species, canopy density",null,null,null,"Abildtrup, J., et al. (2014). \"Combining RP and SP data while accounting for large choice sets and travel mode – an application to forest recreation.\" Journal of Environmental Economics and Policy 4(2): 177-201.\n\nBateman, I. J., et al. (1996). \"Household Willingness to Pay and Farmers' Willingness to Accept Compensation for Establishing a Recreational Woodland.\" Journal of Environmental Planning and Management 39(1): 21-43.\n\nBateman, I. J., et al. (1999). \"Developing a methodology for benefit transfers using geographical information systems: Modelling demand for woodland recreation.\" Regional Studies 33(3): 191-205.\n\nBennett, R., et al. (1995). \"The Value of Footpath Provision in the Countryside: A Case-study of Public Access to Urban-fringe Woodland.\" Journal of Environmental Planning and Management 38(3): 409-418.\n\nBishop, K. (1992). \"Assessing the benefits of community forests: an evaluation of the recreational use benefits of two urban fringe woodlands.\" Journal of Environmental Planning and Management 35(1): 63-76.\n\nChristie, M., et al. (2006). Valuing forest recreation activities: Final Phase 2 Report.\n\nEftec (2010). The economic contribution of the Forestry Commission public forest estate in England, Final Report to Forestry Commission.\n\nEftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.\n\nEurope Economics (2015). The economic benefits of woodland, A report for the Woodland Trust, London, UK.\n\nQuine, C. P., et al. (2011). UK National Ecosystem Assessment, Chapter 8: Woodlands, UNEP-WCMC, Cambridge.\n\nScarpa, R. (2003). Social & Environmental Benefits of Forestry Phase 2 : The Recreation Value of Woodlands, Report to Forestry Commission, Edinburgh.\n\nSen, A., et al. (2014). \"Economic Assessment of the Recreational Value of Ecosystems: Methodological Development and National and Local Application.\" Environmental & Resource Economics 57(2): 233-249.\n\nTermansen, M., et al. (2013). \"Modelling and mapping spatial heterogeneity in forest recreation services.\" Ecological Economics 92: 48-57.\n\nTinch, R., et al. (2009). Economic valuation of uplands ecosystem services, A Natural England Commissioned Report NECR029.\n\nVerkerk, P. J., et al. (2014). \"Assessing impacts of intensified biomass production and biodiversity protection on ecosystem services provided by European forests.\" Ecosystem Services 9: 155-165.\n\nWillis, K. G. and G. D. Garrod (1991). \"An Individual Travel-Cost Method of Evaluating Forest Recreation.\" Journal of Agricultural Economics 42(1): 33-42.","Smailes, P. J. and D. L. Smith (2001). \"The growing recreational use of state forest lands in the Adelaide hills.\" Land Use Policy 18(2): 137-152.\n\nTyrväinen, L. (2001). \"Economic valuation of urban forest benefits in Finland.\" Journal of Environmental Management 62(1): 75-92.\n\nTyrväinen, L. and H. Väänänen (1998). \"The economic value of urban forest amenities: an application of the contingent valuation method.\" Landscape and Urban Planning 43(1–3): 105-118."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B97='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C97='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D97='Summary Search'!$B$6,1,0)))","v":1},"Timber","Spiritual and cultural","Ceremonial and celebration participants","Volume m3 , quality of timber (grade, diameter), species, canopy density"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B98='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C98='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D98='Summary Search'!$B$6,1,0)))","v":1},"Timber","Spiritual and cultural","Non users","Volume m3 , quality of timber (grade, diameter), species, canopy density"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B99='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C99='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D99='Summary Search'!$B$6,1,0)))","v":1},"Timber","Timber products - commercial","Foresters","Volume m3 , quality of timber (grade, diameter), species, canopy density",null,null,null,"Bateman, I. J., et al. (2014). UK National Ecosystem Assessment Follow-on. Work Package Report 3: Economic value of ecosystem services. UNEP-WCMC, LWEC, UK.\n\nEftec (2010). The economic contribution of the Forestry Commission public forest estate in England, Final Report to Forestry Commission.\n\nEftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.\n\nEurope Economics (2015). The economic benefits of woodland, A report for the Woodland Trust, London, UK.\n\nValatin, G. and J. Starling (2010). UK NEA Economic Analysis Report: Valuation of ecosystem services provided by UK woodlands UNEP-WCMC, Cambridge.\n\nVerkerk, P. J., et al. (2014). \"Assessing impacts of intensified biomass production and biodiversity protection on ecosystem services provided by European forests.\" Ecosystem Services 9: 155-165.","Moons, E. (2002). Cost- benefit analysis of the location of new forest land, Energy, Transport and Environment Working Papers Series.\n\nMoons, E., et al. (2008). \"Optimal location of new forests in a suburban region.\" Journal of Forest Economics 14(1): 5-27."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B100='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C100='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D100='Summary Search'!$B$6,1,0)))","v":1},"Timber","Timber products - subsistence","Foresters","Volume m3 , quality of timber (grade, diameter), species, canopy density",null,null,null,"Valatin, G. and J. Starling (2010). UK NEA Economic Analysis Report: Valuation of ecosystem services provided by UK woodlands UNEP-WCMC, Cambridge."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B101='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C101='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D101='Summary Search'!$B$6,1,0)))","v":1},"Views","Artistic production","Artists","Angle subtended (degrees)"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B102='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C102='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D102='Summary Search'!$B$6,1,0)))","v":1},"Views","Housing services","Residential property owners","Angle subtended (degrees)",null,null,null,"Eftec (2010). The economic contribution of the Forestry Commission public forest estate in England, Final Report to Forestry Commission.\n\nEftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.\n\nEurope Economics (2015). The economic benefits of woodland, A report for the Woodland Trust, London, UK.\n\nGarrod, G. (2002). Social & Environmental Benefits of Forestry Phase 2 : Landscape Benefits, Report to the Forestry Commission, Edinburgh.\n\nGarrod, G., et al. (2009). \"Assessing the value of forest landscapes: A choice experiment approach.\" Arboricultural Journal 32(3): 189-211.\n\nGarrod, G. and K. Willis (1992). \"The amenity value of woodland in Great Britain: A comparison of economic estimates.\" Environmental and Resource Economics 2(4): 415-434.\n\nRegeneris Consulting (2009). The Economic Contribution of The Mersey Forest's Objective One-Funded Investments A Final Report by Regeneris Consulting, Cheshire, UK.","Donovan, G. H. and D. T. Butry (2011). \"The effect of urban trees on the rental price of single-family homes in Portland, Oregon.\" Urban Forestry & Urban Greening 10(3): 163-168.\n\nDonovan, G. H. and D. T. Butry (2010). \"Trees in the city: Valuing street trees in Portland, Oregon.\" Landscape and urban planning 94(2): 77-83.\n\nPerino, G., et al. (2014). \"The Value of Urban Green Space in Britain: A Methodological Framework for Spatially Referenced Benefit Transfer.\" Environmental & Resource Economics 57(2): 251-272.\n\nTyrvainen, L. (1997). \"The amenity value of the urban forest: An application of the hedonic pricing method.\" Landscape and Urban Planning 37(3-4): 211-222.\n\nTyrväinen, L. and A. Miettinen (2000). \"Property Prices and Urban Forest Amenities.\" Journal of Environmental Economics and Management 39(2): 205-223."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B103='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C103='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D103='Summary Search'!$B$6,1,0)))","v":1},"Views","Housing services","General public",null,null,null,null,"Holt, A. and Rouquette, J. (2017). The quantification and valuation of the environmental, social and economic impacts of the Forest of Marston Vale. Report prepared for: The Forest of Marston Vale, March 2017","Chen, T., Swallow, S., Johnston, R. (2015). Farm versus Forest: physical scarcity and the roel of non-convex preferences in the valuation of open-space. Paper presented at the 2015 Agricultural and  Applied Economics Association and Western Agricultural Economics Association Annual Meeting, San Francisco, CA, July 26-28 2015"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B104='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C104='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D104='Summary Search'!$B$6,1,0)))","v":1},"Views","Industrial and commercial production with timber inputs","Producers using timber inputs","Angle subtended (degrees)",null,null,null,"Garrod, G. (2002). Social & Environmental Benefits of Forestry Phase 2 : Landscape Benefits, Report to the Forestry Commission, Edinburgh.\n\nGarrod, G., et al. (2009). \"Assessing the value of forest landscapes: A choice experiment approach.\" Arboricultural Journal 32(3): 189-211.\n\nRegeneris Consulting (2009). The Economic Contribution of The Mersey Forest's Objective One-Funded Investments A Final Report by Regeneris Consulting, Cheshire, UK."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B105='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C105='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D105='Summary Search'!$B$6,1,0)))","v":1},"Views","Learning services","Education providers","Angle subtended (degrees)"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B106='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C106='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D106='Summary Search'!$B$6,1,0)))","v":1},"Views","Learning services","Independent learners","Angle subtended (degrees)"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B107='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C107='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D107='Summary Search'!$B$6,1,0)))","v":1},"Views","Mental health","General public","Angle subtended (degrees)","Other inputs into mental health including physical health, lifestyle (employment, income, stress), open space, water quality, nutrition etc.\nAge"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B108='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C108='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D108='Summary Search'!$B$6,1,0)))","v":1},"Views","Mental health","Health care providers","Angle subtended (degrees)","Other inputs into mental health including physical health, lifestyle (employment, income, stress), open space, water quality, nutrition etc.\nAge"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B109='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C109='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D109='Summary Search'!$B$6,1,0)))","v":1},"Views","Mental health","Insurance companies","Angle subtended (degrees)","Other inputs into mental health including physical health, lifestyle (employment, income, stress), open space, water quality, nutrition etc.\nAge"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B110='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C110='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D110='Summary Search'!$B$6,1,0)))","v":1},"Views","Non-use value production","Non users","Angle subtended (degrees)"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B111='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C111='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D111='Summary Search'!$B$6,1,0)))","v":1},"Views","Recreation","Recreational users","Angle subtended (degrees)",null,null,null,"Abildtrup, J., et al. (2014). \"Combining RP and SP data while accounting for large choice sets and travel mode – an application to forest recreation.\" Journal of Environmental Economics and Policy 4(2): 177-201.\n\nBateman, I. J., et al. (1996). \"Household Willingness to Pay and Farmers' Willingness to Accept Compensation for Establishing a Recreational Woodland.\" Journal of Environmental Planning and Management 39(1): 21-43.\n\nBateman, I. J., et al. (1999). \"Developing a methodology for benefit transfers using geographical information systems: Modelling demand for woodland recreation.\" Regional Studies 33(3): 191-205.\n\nBennett, R., et al. (1995). \"The Value of Footpath Provision in the Countryside: A Case-study of Public Access to Urban-fringe Woodland.\" Journal of Environmental Planning and Management 38(3): 409-418.\n\nBishop, K. (1992). \"Assessing the benefits of community forests: an evaluation of the recreational use benefits of two urban fringe woodlands.\" Journal of Environmental Planning and Management 35(1): 63-76.\n\nBullock, C., et al. (2014). \"Realising the ecosystem-service value of native woodland in Ireland.\" New Zealand Journal of Forestry Science 44(Suppl 1): S4.\n\nChristie, M., et al. (2006). Valuing forest recreation activities: Final Phase 2 Report.\n\nEftec (2010). The economic contribution of the Forestry Commission public forest estate in England, Final Report to Forestry Commission.\n\nEftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.\n\nEurope Economics (2015). The economic benefits of woodland, A report for the Woodland Trust, London, UK.\n\nGarrod, G. (2002). Social & Environmental Benefits of Forestry Phase 2 : Landscape Benefits, Report to the Forestry Commission, Edinburgh.\n\nGarrod, G., et al. (2009). \"Assessing the value of forest landscapes: A choice experiment approach.\" Arboricultural Journal 32(3): 189-211.\n\nGiergiczny, M., Czajkowski, M., Żylicz, T.,  Angelstam, P. (2015). Choice experiment assessment of public preferences for forest structural attributes. Ecological Economics 119: 8-23.\n\nHäyhä, T., Franzese, P., Paletto, A., Fath, B.D. (2015). Assessing, valuing, and mapping ecosystem services in Alpine forests. Ecosystem Services 14: 12-23.\n\nHorne, P., et al. (2005). \"Multiple-use management of forest recreation sites: a spatially explicit choice experiment.\" Forest Ecology and Management 207(1-2): 189-199.\n\nMacmillan, D. C. and E. I. Duff (1998). \"Estimating the non-market costs and benefits of native woodland restoration using the contingent valuation method.\" Forestry 71(3): 247-259.\n\nMolina, J.R., Francisco Rodrıguez y Silva, Miguel Angel Herrera (2016). Integrating economic landscape valuation into Mediterranean territorial planning. Environmental Science and Policy 56: 120-128\n\nMorris, J. and M. Camino (2011). \"Economic Assessment of Freshwater, Wetland and Floodplain (FWF) Ecosystem Services \" UK NEA Economics Analysis, Freshwaters.\n\nRegeneris Consulting (2009). The Economic Contribution of The Mersey Forest's Objective One-Funded Investments A Final Report by Regeneris Consulting, Cheshire, UK.\n\nScarpa, R. (2003). Social & Environmental Benefits of Forestry Phase 2 : The Recreation Value of Woodlands, Report to Forestry Commission, Edinburgh.\n\nSen, A., et al. (2014). \"Economic Assessment of the Recreational Value of Ecosystems: Methodological Development and National and Local Application.\" Environmental & Resource Economics 57(2): 233-249.\n\nTermansen, M., et al. (2013). \"Modelling and mapping spatial heterogeneity in forest recreation services.\" Ecological Economics 92: 48-57.\n\nTinch, R., et al. (2009). Economic valuation of uplands ecosystem services, A Natural England Commissioned Report NECR029.\n\nVerkerk, P. J., et al. (2014). \"Assessing impacts of intensified biomass production and biodiversity protection on ecosystem services provided by European forests.\" Ecosystem Services 9: 155-165.\n\nWillis, K. G. and G. D. Garrod (1991). \"An Individual Travel-Cost Method of Evaluating Forest Recreation.\" Journal of Agricultural Economics 42(1): 33-42.","Smailes, P. J. and D. L. Smith (2001). \"The growing recreational use of state forest lands in the Adelaide hills.\" Land Use Policy 18(2): 137-152.\n\nTyrväinen, L. (2001). \"Economic valuation of urban forest benefits in Finland.\" Journal of Environmental Management 62(1): 75-92.\n\nTyrväinen, L. and H. Väänänen (1998). \"The economic value of urban forest amenities: an application of the contingent valuation method.\" Landscape and Urban Planning 43(1–3): 105-118."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B112='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C112='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D112='Summary Search'!$B$6,1,0)))","v":1},"Views","Spiritual and cultural","Ceremonial and celebration participants","Angle subtended (degrees)",null,null,null,"Macmillan, D. C. (2002). Social & Environmental Benefits of Forestry Phase 2: The Value of Managing Forests to Protect Archaeology, Report to Forestry Commission, Edinburgh."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B113='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C113='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D113='Summary Search'!$B$6,1,0)))","v":1},"Views","Spiritual and cultural","Non users","Angle subtended (degrees)",null,null,null,"Bullock, C., et al. (2014). \"Realising the ecosystem-service value of native woodland in Ireland.\" New Zealand Journal of Forestry Science 44(Suppl 1): S4.\n\nMacmillan, D. C. (2002). Social & Environmental Benefits of Forestry Phase 2: The Value of Managing Forests to Protect Archaeology, Report to Forestry Commission, Edinburgh.\n\nTinch, R., et al. (2009). Economic valuation of uplands ecosystem services, A Natural England Commissioned Report NECR029."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B114='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C114='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D114='Summary Search'!$B$6,1,0)))","v":1},"Water_Quality","Artistic production","Artists","concentration (mg/l), clarity (turbidity), presence/absence, wfd classification, colour, odour, organic life/ ecological state",null,null,{"$f":"IF(AND(ISBLANK(I114),ISBLANK(J114)),\"Yes\",\"\")","v":"Yes"}]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B115='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C115='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D115='Summary Search'!$B$6,1,0)))","v":1},"Water_Quality","Drinking water","Water companies","concentration (mg/l), clarity (turbidity), presence/absence, wfd classification, colour, odour, organic life/ ecological state","Existing quality of the water\nStatutory limits (mg/l)\nAvailable technologies (capacity, cost)\nLocation\nPopulation location\nAvailability of alternatives","Production function method\nReplacement cost method","","Abildtrup, J., S. Garcia, and A. Stenger (2013): \"The Effect of Forest Land Use on the Cost of Drinking Water Supply: A Spatial Econometric Analysis,\" Ecological Economics, 92, 126-136.\n\nADAS and Eftec (2014). The Feasibility of Valuing Woodlands’ Contribution to Regulating Water Quality and Quantity, Report to Forestry Commission, Edinburgh.\n\nEftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.\n\nEurope Economics (2015): \"The Economic Benefits of Woodland,\" A report for the Woodland Trust, London, UK. https://www.woodlandtrust.org.uk/publications/2015/03/the-economic-benefits-of-woodland/\n\nFiquepron, J., S. Garcia, and A. Stenger (2013): \"Land Use Impact on Water Quality: Valuing Forest Services in Terms of the Water Supply Sector,\" Journal of Environmental Management, 126, 113-121.\n\nHäyhä, T., Franzese, P., Paletto, A., Fath, B.D. (2015). Assessing, valuing, and mapping ecosystem services in Alpine forests. Ecosystem Services 14: 12-23.\n\nHanley, N., R. E. Wright, and B. Alvarez-Farizo (2006): \"Estimating the Economic Value of Improvements in River Ecology Using Choice Experiments: An Application to the Water Framework Directive,\" Journal of Environmental Management, 78, 183-193.\n\nMorris, J. and M. Camino (2011). \"Economic Assessment of Freshwater, Wetland and Floodplain (FWF) Ecosystem Services \" UK NEA Economics Analysis, Freshwaters.\n\nWillis, K. G. (2002): \"Social & Environmental Benefits of Forestry Phase 2: Benefits and Costs of Forests to Water Supply and Water Quality,\" Report to Forestry Commission, Edinburgh. http://www.forestry.gov.uk/pdf/water3.pdf/$FILE/water3.pdf\n\nZapata, S. D., H. M. Benavides, C. E. Carpio, and D. B. Willis (2012): \"The Economic Value of Basin Protection to Improve the Quality and Reliability of Potable Water Supply: The Case of Loja, Ecuador,\" Water Policy, 14, 1-13.","Soares, A. L., et al. (2011). \"Benefits and costs of street trees in Lisbon, Portugal.\" Urban Forestry & Urban Greening 10(2): 69-78."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B116='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C116='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D116='Summary Search'!$B$6,1,0)))","v":1},"Water_Quality","Food - agriculture and fisheries","Farmers","concentration (mg/l), clarity (turbidity), presence/absence, wfd classification, colour, odour, organic life/ ecological state","Location (does this water flow into fisheries, is it used for irrigation)\nAvailability of alternative clean water\nAvailability of substitutes",null,"","Butler, J. R. A., et al. (2009). \"Evaluating an ecosystem service provided by Atlantic salmon, sea trout and other fish species in the River Spey, Scotland: The economic impact of recreational rod fisheries.\" Fisheries Research 96(2-3): 259-266.\n\nHanley, N., R. E. Wright, and B. Alvarez-Farizo (2006): \"Estimating the Economic Value of Improvements in River Ecology Using Choice Experiments: An Application to the Water Framework Directive,\" Journal of Environmental Management, 78, 183-193.\n\nLawrence, K. S., and J. Spurgeon (2007): \"Economic Evaluation of Inland Fisheries: Welfare Benefits of Inland Fisheries in England & Wales \": Environment Agency, Science Report – SC050026/SR1, Bristol, UK. \n\nMoran, D. and S. Dann (2008). \"The economic value of water use: Implications for implementing the Water Framework Directive in Scotland.\" Journal of Environmental Management 87(3): 484-496.\n\nMorris, J. and M. Camino (2011). \"Economic Assessment of Freshwater, Wetland and Floodplain (FWF) Ecosystem Services \" UK NEA Economics Analysis, Freshwaters."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B117='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C117='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D117='Summary Search'!$B$6,1,0)))","v":1},"Water_Quality","Food - commercial","Hunter gatherers","concentration (mg/l), clarity (turbidity), presence/absence, wfd classification, colour, odour, organic life/ ecological state","Location  ",null,"","Morris, J. and M. Camino (2011). \"Economic Assessment of Freshwater, Wetland and Floodplain (FWF) Ecosystem Services \" UK NEA Economics Analysis, Freshwaters."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B118='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C118='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D118='Summary Search'!$B$6,1,0)))","v":1},"Water_Quality","Food - subsistence","Non timber forest product extractors","concentration (mg/l), clarity (turbidity), presence/absence, wfd classification, colour, odour, organic life/ ecological state","Location (does this water flow into fisheries, is it used for irrigation)\nAvailability of substitutes",null,"Yes"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B119='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C119='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D119='Summary Search'!$B$6,1,0)))","v":1},"Water_Quality","Housing services","Residential property owners","concentration (mg/l), clarity (turbidity), presence/absence, wfd classification, colour, odour, organic life/ ecological state",null,null,"","Bateman, I. J., R. Brouwer, S. Ferrini, M. Schaafsma, D. N. Barton, A. Dubgaard, B. Hasler, S. Hime, I. Liekens, S. Navrud, L. De Nocker, R. Sceponaviciute, and D. Semeniene (2011): \"Making Benefit Transfers Work: Deriving and Testing Principles for Value Transfers for Similar and Dissimilar Sites Using a Case Study of the Non-Market Benefits of Water Quality Improvements across Europe,\" Environmental & Resource Economics, 50, 365-387.\n\nLoomis, J., P. Kent, L. Strange, K. Fausch, and A. Covich (2000): \"Measuring the Total Economic Value of Restoring Ecosystem Services in an Impaired River Basin: Results from a Contingent Valuation Survey,\" Ecological Economics, 33, 103-117.","Tyrvainen, L. (1997). \"The amenity value of the urban forest: An application of the hedonic pricing method.\" Landscape and Urban Planning 37(3-4): 211-222.\n\nTyrväinen, L. and A. Miettinen (2000). \"Property Prices and Urban Forest Amenities.\" Journal of Environmental Economics and Management 39(2): 205-223."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B120='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C120='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D120='Summary Search'!$B$6,1,0)))","v":1},"Water_Quality","Hydropower","Power companies","concentration (mg/l), clarity (turbidity), presence/absence, wfd classification, colour, odour, organic life/ ecological state"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B121='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C121='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D121='Summary Search'!$B$6,1,0)))","v":1},"Water_Quality","Industrial and commercial production with timber inputs","Producers using timber inputs","concentration (mg/l), clarity (turbidity), presence/absence, wfd classification, colour, odour, organic life/ ecological state",null,null,{"$f":"IF(AND(ISBLANK(I121),ISBLANK(J121)),\"Yes\",\"\")","v":"Yes"}]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B122='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C122='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D122='Summary Search'!$B$6,1,0)))","v":1},"Water_Quality","Learning services","Education providers","concentration (mg/l), clarity (turbidity), presence/absence, wfd classification, colour, odour, organic life/ ecological state",null,null,"Yes"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B123='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C123='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D123='Summary Search'!$B$6,1,0)))","v":1},"Water_Quality","Learning services","Health care providers","concentration (mg/l), clarity (turbidity), presence/absence, wfd classification, colour, odour, organic life/ ecological state",null,null,"Yes"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B124='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C124='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D124='Summary Search'!$B$6,1,0)))","v":1},"Water_Quality","Learning services","Independent learners","concentration (mg/l), clarity (turbidity), presence/absence, wfd classification, colour, odour, organic life/ ecological state",null,null,"Yes"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B125='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C125='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D125='Summary Search'!$B$6,1,0)))","v":1},"Water_Quality","Mental health","General public","concentration (mg/l), clarity (turbidity), presence/absence, wfd classification, colour, odour, organic life/ ecological state","Other inputs into mental health including physical health, lifestyle (employment, income, stress), open space, water quality, nutrition etc.\nAge",null,"Yes"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B126='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C126='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D126='Summary Search'!$B$6,1,0)))","v":1},"Water_Quality","Mental health","Insurance companies","concentration (mg/l), clarity (turbidity), presence/absence, wfd classification, colour, odour, organic life/ ecological state","Other inputs into mental health including physical health, lifestyle (employment, income, stress), open space, water quality, nutrition etc.\nAge",null,"Yes"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B127='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C127='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D127='Summary Search'!$B$6,1,0)))","v":1},"Water_Quality","Non-use value production","Non users","concentration (mg/l), clarity (turbidity), presence/absence, wfd classification, colour, odour, organic life/ ecological state",null,null,"Yes"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B128='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C128='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D128='Summary Search'!$B$6,1,0)))","v":1},"Water_Quality","Physical health","General public","concentration (mg/l), clarity (turbidity), presence/absence, wfd classification, colour, odour, organic life/ ecological state","Other inputs into health including lifestyle, illnesses, open space, water quality, nutrition etc.",null,"Yes"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B129='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C129='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D129='Summary Search'!$B$6,1,0)))","v":1},"Water_Quality","Physical health","Health care providers","concentration (mg/l), clarity (turbidity), presence/absence, wfd classification, colour, odour, organic life/ ecological state","Other inputs into health including lifestyle, illnesses, open space, water quality, nutrition etc.",null,"Yes"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B130='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C130='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D130='Summary Search'!$B$6,1,0)))","v":1},"Water_Quality","Physical health","Insurance companies","concentration (mg/l), clarity (turbidity), presence/absence, wfd classification, colour, odour, organic life/ ecological state","Other inputs into health including lifestyle, illnesses, open space, water quality, nutrition etc.",null,"Yes"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B131='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C131='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D131='Summary Search'!$B$6,1,0)))","v":1},"Water_Quality","Recreation","Recreational users","concentration (mg/l), clarity (turbidity), presence/absence, wfd classification, colour, odour, organic life/ ecological state","Location\nPopulation",null,"","Abildtrup, J., et al. (2014). \"Combining RP and SP data while accounting for large choice sets and travel mode – an application to forest recreation.\" Journal of Environmental Economics and Policy 4(2): 177-201.\n\nBateman, I. J., et al. (1996). \"Household Willingness to Pay and Farmers' Willingness to Accept Compensation for Establishing a Recreational Woodland.\" Journal of Environmental Planning and Management 39(1): 21-43.\n\nBateman, I. J., et al. (1999). \"Developing a methodology for benefit transfers using geographical information systems: Modelling demand for woodland recreation.\" Regional Studies 33(3): 191-205.\n\nBishop, K. (1992). \"Assessing the benefits of community forests: an evaluation of the recreational use benefits of two urban fringe woodlands.\" Journal of Environmental Planning and Management 35(1): 63-76.\n\nChristie, M., et al. (2006). Valuing forest recreation activities: Final Phase 2 Report.\n\nEftec (2010). The economic contribution of the Forestry Commission public forest estate in England, Final Report to Forestry Commission.\n\nEftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.\n\nGreen, C. H., and S. M. Tunstall (1991): \"The Evaluation of River Water-Quality Improvements by the Contingent Valuation Method,\" Applied Economics, 23, 1135-1146.\n\nHanley, N., R. E. Wright, and B. Alvarez-Farizo (2006): \"Estimating the Economic Value of Improvements in River Ecology Using Choice Experiments: An Application to the Water Framework Directive,\" Journal of Environmental Management, 78, 183-193.\n\nJohnstone, C. and A. Markandya (2006). \"Valuing river characteristics using combined site choice and participation travel cost models.\" Journal of Environmental Management 80(3): 237-247.\n\nMorris, J. and M. Camino (2011). \"Economic Assessment of Freshwater, Wetland and Floodplain (FWF) Ecosystem Services \" UK NEA Economics Analysis, Freshwaters.\n\nScarpa, R. (2003). Social & Environmental Benefits of Forestry Phase 2 : The Recreation Value of Woodlands, Report to Forestry Commission, Edinburgh.\n\nSen, A., et al. (2014). \"Economic Assessment of the Recreational Value of Ecosystems: Methodological Development and National and Local Application.\" Environmental & Resource Economics 57(2): 233-249.\n\nTermansen, M., et al. (2013). \"Modelling and mapping spatial heterogeneity in forest recreation services.\" Ecological Economics 92: 48-57.\n\nTinch, R., et al. (2009). Economic valuation of uplands ecosystem services, A Natural England Commissioned Report NECR029.\n\nVerkerk, P. J., et al. (2014). \"Assessing impacts of intensified biomass production and biodiversity protection on ecosystem services provided by European forests.\" Ecosystem Services 9: 155-165.\n\nWillis, K. G. and G. D. Garrod (1991). \"An Individual Travel-Cost Method of Evaluating Forest Recreation.\" Journal of Agricultural Economics 42(1): 33-42.","Smailes, P. J. and D. L. Smith (2001). \"The growing recreational use of state forest lands in the Adelaide hills.\" Land Use Policy 18(2): 137-152.\n\nTyrväinen, L. (2001). \"Economic valuation of urban forest benefits in Finland.\" Journal of Environmental Management 62(1): 75-92.\n\nTyrväinen, L. and H. Väänänen (1998). \"The economic value of urban forest amenities: an application of the contingent valuation method.\" Landscape and Urban Planning 43(1–3): 105-118."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B132='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C132='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D132='Summary Search'!$B$6,1,0)))","v":1},"Water_Quality","Spiritual and cultural","Ceremonial and celebration participants","concentration (mg/l), clarity (turbidity), presence/absence, wfd classification, colour, odour, organic life/ ecological state",null,null,"Yes"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B133='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C133='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D133='Summary Search'!$B$6,1,0)))","v":1},"Water_Quality","Spiritual and cultural","Non users","concentration (mg/l), clarity (turbidity), presence/absence, wfd classification, colour, odour, organic life/ ecological state",null,null,"Yes"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B134='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C134='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D134='Summary Search'!$B$6,1,0)))","v":1},"Water_Quality","Transportation","Transport companies","concentration (mg/l), clarity (turbidity), presence/absence, wfd classification, colour, odour, organic life/ ecological state",null,null,"Yes"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B135='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C135='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D135='Summary Search'!$B$6,1,0)))","v":1},"Water_Quality","Waste discharge","Commercial property owners","concentration (mg/l), clarity (turbidity), presence/absence, wfd classification, colour, odour, organic life/ ecological state","Existing quality of the water\nStatutory limits (mg/l)\nAvailable technologies (capacity, cost)\nLocation\nPopulation location\nAvailability of alternatives",null,"Yes"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B136='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C136='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D136='Summary Search'!$B$6,1,0)))","v":1},"Water_Quantity","Artistic production","Artists","Volume m3 , flow (m/s)"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B137='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C137='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D137='Summary Search'!$B$6,1,0)))","v":1},"Water_Quantity","Drinking water","Water companies","Volume m3 , flow (m/s)","Existing quality of the water\nStatutory limits (mg/l)\nAvailable technologies (capacity, cost)\nLocation\nPopulation location\nAvailability of alternatives",null,null,"ADAS and Eftec (2014). The Feasibility of Valuing Woodlands’ Contribution to Regulating Water Quality and Quantity, Report to Forestry Commission, Edinburgh.\n\nEftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.\n\nMoran, D., and S. Dann (2008): \"The Economic Value of Water Use: Implications for Implementing the Water Framework Directive in Scotland,\" Journal of Environmental Management, 87, 484-496.\n\nMorris, J. and M. Camino (2011). \"Economic Assessment of Freshwater, Wetland and Floodplain (FWF) Ecosystem Services \" UK NEA Economics Analysis, Freshwaters.\n\nWillis, K. G. (2002): \"Social & Environmental Benefits of Forestry Phase 2: Benefits and Costs of Forests to Water Supply and Water Quality,\" Report to Forestry Commission, Edinburgh. http://www.forestry.gov.uk/pdf/water3.pdf/$FILE/water3.pdf\n\nZapata, S. D., H. M. Benavides, C. E. Carpio, and D. B. Willis (2012): \"The Economic Value of Basin Protection to Improve the Quality and Reliability of Potable Water Supply: The Case of Loja, Ecuador,\" Water Policy, 14, 1-13.","Glasgow - Rumble, H., K. Rogers, K. J. Doick, A. Albertini, and T. R. Hutchings (2015): \"Valuing Urban Trees in Glasgow: Assessing the Ecosystem Services of Glasgow’s Urban Forest: A Technical Report,\" Forest Research, UK. \n\nWrexham - Rumble, H., K. Rogers, K. J. Doick, and T. R. Hutchings (2014): \"Valuing Wrexham’s Urban Forest: Assessing the Ecosystem Services of Wrexham’s Urban Trees: A Technical Report,\" Forest Research, UK. http://www.forestry.gov.uk/fr/BEEH-9T8DZH \n\nBolund, P., and S. Hunhammar (1999): \"Ecosystem Services in Urban Areas,\" Ecological Economics, 29, 293-301.\n\nRogers, K., A. Jaluzot, and C. Neilan (2012): \"Green Benefits in Victoria Business Improvement District: An Analysis of the Benefits of Trees and Other Green Assets in the Victoria Business Improvement District..\" http://www.treeconomics.co.uk/wp-content/uploads/VBID.I-Tree2.pdf"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B138='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C138='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D138='Summary Search'!$B$6,1,0)))","v":1},"Water_Quantity","Flood alleviation","Commercial property owners","Volume m3 , flow (m/s)","Existing flood defences\nLocation (distance from properties)\nProbability of extreme weather events",null,null,"ADAS and Eftec (2014). The Feasibility of Valuing Woodlands’ Contribution to Regulating Water Quality and Quantity, Report to Forestry Commission, Edinburgh.\n\nBullock, C., et al. (2014). \"Realising the ecosystem-service value of native woodland in Ireland.\" New Zealand Journal of Forestry Science 44(Suppl 1): S4.\n\nEftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.\n\nEurope Economics (2015): \"The Economic Benefits of Woodland,\" A report for the Woodland Trust, London, UK. https://www.woodlandtrust.org.uk/publications/2015/03/the-economic-benefits-of-woodland/\n\nMorris, J. and M. Camino (2011). \"Economic Assessment of Freshwater, Wetland and Floodplain (FWF) Ecosystem Services \" UK NEA Economics Analysis, Freshwaters.","Glasgow - Rumble, H., K. Rogers, K. J. Doick, A. Albertini, and T. R. Hutchings (2015): \"Valuing Urban Trees in Glasgow: Assessing the Ecosystem Services of Glasgow’s Urban Forest: A Technical Report,\" Forest Research, UK. \n\nWrexham - Rumble, H., K. Rogers, K. J. Doick, and T. R. Hutchings (2014): \"Valuing Wrexham’s Urban Forest: Assessing the Ecosystem Services of Wrexham’s Urban Trees: A Technical Report,\" Forest Research, UK. http://www.forestry.gov.uk/fr/BEEH-9T8DZH \n\nBolund, P., and S. Hunhammar (1999): \"Ecosystem Services in Urban Areas,\" Ecological Economics, 29, 293-301.\n\nRogers, K., A. Jaluzot, and C. Neilan (2012): \"Green Benefits in Victoria Business Improvement District: An Analysis of the Benefits of Trees and Other Green Assets in the Victoria Business Improvement District..\" http://www.treeconomics.co.uk/wp-content/uploads/VBID.I-Tree2.pdf\n\nSoares, A. L., et al. (2011). \"Benefits and costs of street trees in Lisbon, Portugal.\" Urban Forestry & Urban Greening 10(2): 69-78."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B139='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C139='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D139='Summary Search'!$B$6,1,0)))","v":1},"Water_Quantity","Flood alleviation","Insurance companies","Volume m3 , flow (m/s)","Existing flood defences\nLocation (distance from properties)\nProbability of extreme weather events",null,null,"Bullock, C., et al. (2014). \"Realising the ecosystem-service value of native woodland in Ireland.\" New Zealand Journal of Forestry Science 44(Suppl 1): S4."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B140='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C140='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D140='Summary Search'!$B$6,1,0)))","v":1},"Water_Quantity","Flood alleviation","General public",null,null,null,null,"Holt, A. and Rouquette, J. (2017). The quantification and valuation of the environmental, social and economic impacts of the Forest of Marston Vale. Report prepared for:\nThe Forest of Marston Vale, March 2017"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B141='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C141='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D141='Summary Search'!$B$6,1,0)))","v":1},"Water_Quantity","Flood alleviation","Land owners","Volume m3 , flow (m/s)","Existing flood defences\nLocation (distance from properties)\nProbability of extreme weather events",null,null,"ADAS and Eftec (2014). The Feasibility of Valuing Woodlands’ Contribution to Regulating Water Quality and Quantity, Report to Forestry Commission, Edinburgh.\n\nBullock, C., et al. (2014). \"Realising the ecosystem-service value of native woodland in Ireland.\" New Zealand Journal of Forestry Science 44(Suppl 1): S4.\n\nEftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.\n\nEurope Economics (2015): \"The Economic Benefits of Woodland,\" A report for the Woodland Trust, London, UK. https://www.woodlandtrust.org.uk/publications/2015/03/the-economic-benefits-of-woodland/\n\nMorris, J. and M. Camino (2011). \"Economic Assessment of Freshwater, Wetland and Floodplain (FWF) Ecosystem Services \" UK NEA Economics Analysis, Freshwaters.","Glasgow - Rumble, H., K. Rogers, K. J. Doick, A. Albertini, and T. R. Hutchings (2015): \"Valuing Urban Trees in Glasgow: Assessing the Ecosystem Services of Glasgow’s Urban Forest: A Technical Report,\" Forest Research, UK. \n\nWrexham - Rumble, H., K. Rogers, K. J. Doick, and T. R. Hutchings (2014): \"Valuing Wrexham’s Urban Forest: Assessing the Ecosystem Services of Wrexham’s Urban Trees: A Technical Report,\" Forest Research, UK. http://www.forestry.gov.uk/fr/BEEH-9T8DZH \n\nBolund, P., and S. Hunhammar (1999): \"Ecosystem Services in Urban Areas,\" Ecological Economics, 29, 293-301.\n\nRogers, K., A. Jaluzot, and C. Neilan (2012): \"Green Benefits in Victoria Business Improvement District: An Analysis of the Benefits of Trees and Other Green Assets in the Victoria Business Improvement District..\" http://www.treeconomics.co.uk/wp-content/uploads/VBID.I-Tree2.pdf\n\nSoares, A. L., et al. (2011). \"Benefits and costs of street trees in Lisbon, Portugal.\" Urban Forestry & Urban Greening 10(2): 69-78."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B142='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C142='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D142='Summary Search'!$B$6,1,0)))","v":1},"Water_Quantity","Flood alleviation","Residential property owners","Volume m3 , flow (m/s)","Existing flood defences\nLocation (distance from properties)\nProbability of extreme weather events","converting quantity changes to impacts on risk of flooding/number of flood events",null,"ADAS and Eftec (2014). The Feasibility of Valuing Woodlands’ Contribution to Regulating Water Quality and Quantity, Report to Forestry Commission, Edinburgh.\n\nBullock, C., et al. (2014). \"Realising the ecosystem-service value of native woodland in Ireland.\" New Zealand Journal of Forestry Science 44(Suppl 1): S4.\n\nChristie, M., et al. (2011). Economic Valuation of the Benefits of Ecosystem Services delivered by the UK Biodiversity Action Plan, Report to Defra, London.\n\nEftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.\n\nEurope Economics (2015): \"The Economic Benefits of Woodland,\" A report for the Woodland Trust, London, UK. https://www.woodlandtrust.org.uk/publications/2015/03/the-economic-benefits-of-woodland/\n\nMorris, J. and M. Camino (2011). \"Economic Assessment of Freshwater, Wetland and Floodplain (FWF) Ecosystem Services \" UK NEA Economics Analysis, Freshwaters.","Glasgow - Rumble, H., K. Rogers, K. J. Doick, A. Albertini, and T. R. Hutchings (2015): \"Valuing Urban Trees in Glasgow: Assessing the Ecosystem Services of Glasgow’s Urban Forest: A Technical Report,\" Forest Research, UK. \n\nWrexham - Rumble, H., K. Rogers, K. J. Doick, and T. R. Hutchings (2014): \"Valuing Wrexham’s Urban Forest: Assessing the Ecosystem Services of Wrexham’s Urban Trees: A Technical Report,\" Forest Research, UK. http://www.forestry.gov.uk/fr/BEEH-9T8DZH \n\nBolund, P., and S. Hunhammar (1999): \"Ecosystem Services in Urban Areas,\" Ecological Economics, 29, 293-301.\n\nDixon, G. and Pettit, A. (2017). Flood management and woodland creation - Southwell Case Study. Hydraulic modelling and economic appraisal report. Report prepared for the Forestry Commission \n\nMutch et al. (2017). Understanding the value of Southampton’s urban trees. Results of the 2016 i-Tree Eco survey. University of Southampton, Forest Research, Treeconomics and Southampton City Council. Southampton. 81pp. ISBN 978-0-85432-004-2.\n\nMoffat et al. (2017). Petersfield’s trees - their importance and value. Results of the i-Tree Eco survey. Report to East Hampshire District Council, South Downs National Park Authority and Petersfield Town Council. The Petersfield Society, Petersfield.\n\nRogers, K., Doick, K., Watson, J., and Osborne, E. (2018) Valuing Ealing’s Urban Trees. Trees for Cities and Treeconomics\n\nRogers, K., A. Jaluzot, and C. Neilan (2012): \"Green Benefits in Victoria Business Improvement District: An Analysis of the Benefits of Trees and Other Green Assets in the Victoria Business Improvement District..\" http://www.treeconomics.co.uk/wp-content/uploads/VBID.I-Tree2.pdf\n\nSoares, A. L., et al. (2011). \"Benefits and costs of street trees in Lisbon, Portugal.\" Urban Forestry & Urban Greening 10(2): 69-78."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B143='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C143='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D143='Summary Search'!$B$6,1,0)))","v":1},"Water_Quantity","Food - agriculture and fisheries","Farmers","Volume m3 , flow (m/s)","Water quality\nSubstitutes\nFlora, fauna and fungi\nSoil quality\nPrice of seeds\nDemand for agricultural/fisheries products",null,{"$f":"IF(AND(ISBLANK(I143),ISBLANK(J143)),\"Yes\",\"\")","v":""},"Lawrence, K. S., and J. Spurgeon (2007): \"Economic Evaluation of Inland Fisheries: Welfare Benefits of Inland Fisheries in England & Wales \": Environment Agency, Science Report – SC050026/SR1, Bristol, UK. \n\nMoran, D., and S. Dann (2008): \"The Economic Value of Water Use: Implications for Implementing the Water Framework Directive in Scotland,\" Journal of Environmental Management, 87, 484-496."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B144='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C144='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D144='Summary Search'!$B$6,1,0)))","v":1},"Water_Quantity","Food - commercial","Hunter gatherers","Volume m3 , flow (m/s)",null,null,{"$f":"IF(AND(ISBLANK(I144),ISBLANK(J144)),\"Yes\",\"\")","v":"Yes"}]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B145='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C145='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D145='Summary Search'!$B$6,1,0)))","v":1},"Water_Quantity","Food - subsistence","Non timber forest product extractors","Volume m3 , flow (m/s)"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B146='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C146='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D146='Summary Search'!$B$6,1,0)))","v":1},"Water_Quantity","Housing services","Residential property owners","Volume m3 , flow (m/s)",null,null,null,null,"Tyrvainen, L. (1997). \"The amenity value of the urban forest: An application of the hedonic pricing method.\" Landscape and Urban Planning 37(3-4): 211-222.\n\nTyrväinen, L. and A. Miettinen (2000). \"Property Prices and Urban Forest Amenities.\" Journal of Environmental Economics and Management 39(2): 205-223."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B147='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C147='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D147='Summary Search'!$B$6,1,0)))","v":1},"Water_Quantity","Hydropower","Power companies","Volume m3 , flow (m/s)","Existing quality of the water\nStatutory limits (mg/l)\nAvailable technologies (capacity, cost)\nLocation\nPopulation location\nAvailability of alternatives",null,null,"Moran, D., and S. Dann (2008): \"The Economic Value of Water Use: Implications for Implementing the Water Framework Directive in Scotland,\" Journal of Environmental Management, 87, 484-496."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B148='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C148='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D148='Summary Search'!$B$6,1,0)))","v":1},"Water_Quantity","Industrial and commercial production with timber inputs","Producers using timber inputs","Volume m3 , flow (m/s)",null,null,null,"Moran, D., and S. Dann (2008): \"The Economic Value of Water Use: Implications for Implementing the Water Framework Directive in Scotland,\" Journal of Environmental Management, 87, 484-496."]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B149='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C149='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D149='Summary Search'!$B$6,1,0)))","v":1},"Water_Quantity","Learning services","Education providers","Volume m3 , flow (m/s)"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B150='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C150='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D150='Summary Search'!$B$6,1,0)))","v":1},"Water_Quantity","Learning services","Independent learners","Volume m3 , flow (m/s)"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B151='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C151='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D151='Summary Search'!$B$6,1,0)))","v":1},"Water_Quantity","Non-use value production","Non users","Volume m3 , flow (m/s)"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B152='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C152='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D152='Summary Search'!$B$6,1,0)))","v":1},"Water_Quantity","Recreation","Recreational users","Volume m3 , flow (m/s)",null,null,null,"Abildtrup, J., et al. (2014). \"Combining RP and SP data while accounting for large choice sets and travel mode – an application to forest recreation.\" Journal of Environmental Economics and Policy 4(2): 177-201.\n\nBateman, I. J., et al. (1996). \"Household Willingness to Pay and Farmers' Willingness to Accept Compensation for Establishing a Recreational Woodland.\" Journal of Environmental Planning and Management 39(1): 21-43.\n\nBateman, I. J., et al. (1999). \"Developing a methodology for benefit transfers using geographical information systems: Modelling demand for woodland recreation.\" Regional Studies 33(3): 191-205.\n\nBishop, K. (1992). \"Assessing the benefits of community forests: an evaluation of the recreational use benefits of two urban fringe woodlands.\" Journal of Environmental Planning and Management 35(1): 63-76.\n\nChristie, M., et al. (2006). Valuing forest recreation activities: Final Phase 2 Report.\n\nEftec (2010). The economic contribution of the Forestry Commission public forest estate in England, Final Report to Forestry Commission.\n\nEftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.\n\nMoran, D., and S. Dann (2008): \"The Economic Value of Water Use: Implications for Implementing the Water Framework Directive in Scotland,\" Journal of Environmental Management, 87, 484-496.\n\nScarpa, R. (2003). Social & Environmental Benefits of Forestry Phase 2 : The Recreation Value of Woodlands, Report to Forestry Commission, Edinburgh.\n\nSen, A., et al. (2014). \"Economic Assessment of the Recreational Value of Ecosystems: Methodological Development and National and Local Application.\" Environmental & Resource Economics 57(2): 233-249.\n\nTermansen, M., et al. (2013). \"Modelling and mapping spatial heterogeneity in forest recreation services.\" Ecological Economics 92: 48-57.\n\nTinch, R., et al. (2009). Economic valuation of uplands ecosystem services, A Natural England Commissioned Report NECR029.\n\nVerkerk, P. J., et al. (2014). \"Assessing impacts of intensified biomass production and biodiversity protection on ecosystem services provided by European forests.\" Ecosystem Services 9: 155-165.\n\nWillis, K. G. and G. D. Garrod (1991). \"An Individual Travel-Cost Method of Evaluating Forest Recreation.\" Journal of Agricultural Economics 42(1): 33-42.","Smailes, P. J. and D. L. Smith (2001). \"The growing recreational use of state forest lands in the Adelaide hills.\" Land Use Policy 18(2): 137-152.\n\nTyrväinen, L. (2001). \"Economic valuation of urban forest benefits in Finland.\" Journal of Environmental Management 62(1): 75-92.\n\nTyrväinen, L. and H. Väänänen (1998). \"The economic value of urban forest amenities: an application of the contingent valuation method.\" Landscape and Urban Planning 43(1–3): 105-118."]
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[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B154='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C154='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D154='Summary Search'!$B$6,1,0)))","v":1},"Water_Quantity","Spiritual and cultural","Non users","Volume m3 , flow (m/s)"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B155='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C155='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D155='Summary Search'!$B$6,1,0)))","v":1},"Water_Quantity","Transportation","Transport companies","Volume m3 , flow (m/s)"]
[{"$f":"(IF(('Summary Search'!$B$4=\"All\"),1,IF(B156='Summary Search'!$B$4,1,0)))*(IF('Summary Search'!$B$5=\"All\",1,IF(C156='Summary Search'!$B$5,1,0)))*(IF('Summary Search'!$B$6=\"All\",1,IF(D156='Summary Search'!$B$6,1,0)))","v":1},"Water_Quantity","Waste discharge","Commercial property owners","Volume m3 , flow (m/s)",null,null,null,"Moran, D., and S. Dann (2008): \"The Economic Value of Water Use: Implications for Implementing the Water Framework Directive in Scotland,\" Journal of Environmental Management, 87, 484-496."]

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["search criteria","Final Environmental Goods and Services","Production function","Literature","Year of publication","Good/service","Country","Region","Method","Scale","Beneficiaries","Sample","Values","Value Unit","Value period","Value currency","Value year","Payment vehicle","Characteristics","Context","Notes"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B2='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C2='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K2='Detailed Search'!$B$6,1,0)))","v":1},"Air","Carbon","Brainard, J., et al. (2003). Social & Environmental Benefits of Forestry Phase 2: Carbon Sequestration Benefits of Woodland, Report to Forestry Commission, Edinburgh.",2003,"carbon sequestration","GB","England, Wales, Scotland and immediate offshore islands","biophysical modelling of forest & soil carbon sequestration, valued using social cost of carbon estimates from the literature. GIS techniques used to link forestry information with other data\nregression techniques to predict yield classes for all forest areas","national","General public","GB woodlands","2098000000\n1254000000","£/ha existing woodland\ntotal value of new planting (18100 ha/yr from 2001 - 2203)","Net Present Value\nNet Present Value","pounds",2003,null,"tree species; soil type; yield class; propotion of forested area, stand area, rotation and current year of planting","forest management type; social discount rate; carbon prices","This is a major report that values carbon sequestration in existing and future GB woodlands. Various scenarios, parameter assumptions, and carbon prices mean that the study includes over 30 pages of tables of values. Two key values have been extracted and included here: value of currently sequestered carbon in GB woodlands; and value of future additional sequestration under plausible afforestation assumptions."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B3='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C3='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K3='Detailed Search'!$B$6,1,0)))","v":1},"Air","Carbon","Brainard, J., et al. (2009). \"The social value of carbon sequestered in Great Britain's woodlands.\" Ecological Economics 68(4): 1257-1267.",2009,"carbon sequestration in woodland","GB","England, Wales, Scotland and immediate offshore islands","biophysical modelling of forest & soil carbon sequestration, valued using social cost of carbon estimates from the literature. GIS techniques used to link forestry information with other data\nregression techniques to predict yield classes for all forest areas","national","General public","GB woodlands","82000000 - 853000000\n154000000 - 1300000000","total value of current forest C sequestration\ntotal value of current & future forest C sequestration","Net Present Value\nNet Present Value","US dollars",2001,null,"tree species; soil type; yield class; propotion of forested area, stand area, rotation and current year of planting","forest management type; social discount rate; carbon prices","The very large range in values is due to different assumptions regarding: social discount rate; carbon price"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B4='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C4='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K4='Detailed Search'!$B$6,1,0)))","v":1},"Air","Carbon","Felardo, J., Lippitt, C.D. (2016). Spatial forest valuation: The role of location in determining attitudes toward payment for ecosystem services policies. Forest Policy and Economics 62: 158-167.",null,"Carbon sequestration ","Thailand",null,"Nelson et al. (2009)",null,"n.a. ","n.a. ","183 - 366 (over 73,050 plots, where each plot is 30 x 30m)\n366 - 550 (over 62,750 plots, where each plot is 30 x 30m)","bhat/year","per year","bhat",2005,"n.a. "]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B5='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C5='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K5='Detailed Search'!$B$6,1,0)))","v":1},"Air","Carbon","Forest Enterprise England (2016). Natural capital accounts 2015-16. ",2016,"Carbn sequestration","England","national","n.a.","national","General public",null,"83.074m","£/year","2015-16","£","2015-16"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B6='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C6='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K6='Detailed Search'!$B$6,1,0)))","v":1},"Air","Carbon","Häyhä, T., Franzese, P., Paletto, A., Fath, B.D. (2015). Assessing, valuing, and mapping ecosystem services in Alpine forests. Ecosystem Services 14: 12-23.",2015,"carbon sequestration","Italy","Trentino","carbon emission permit price","regional",null,"n.a. ","value of carbon sequestration per ha per year: 76","euro/ha/yr","per year","euro",2010,null,null,null,"This paper looked at different ecosystem services and provided a single value for each of them, so information was reported on the economic value of each of them separately. "]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B7='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C7='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K7='Detailed Search'!$B$6,1,0)))","v":1},"Air","Carbon","Holt, A. and Rouquette, J. (2017). The quantification and valuation of the environmental, social and economic impacts of the Forest of Marston Vale. Report prepared for:\nThe Forest of Marston Vale, March 2017",2017,null,"England","Marston Vale","carbon price","local","General population",null,"267 (carbon value per ha)","annual/ha of woodland created",2015,"£",2015]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B8='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C8='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K8='Detailed Search'!$B$6,1,0)))","v":1},"Air","Carbon","Masiero, M., Davide M. Pettenella, Laura Secco (2016). From failure to value: economic valuation for a selected set of products and services from Mediterranean forests. Forest Systems 25(1): 16 pages",2016,"Value of carbon",null,"Mediterranean region","market prices","multi-country","General public",null,"3.51 - 12.61 euros","euro/ha",null,"euros",2010]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B9='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C9='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K9='Detailed Search'!$B$6,1,0)))","v":1},"Air","Carbon","Mutch et al. (2017). Understanding the value of Southampton’s urban trees. Results of the 2016 i-Tree Eco survey. University of Southampton, Forest Research, Treeconomics and Southampton City Council. Southampton. 81pp. ISBN 978-0-85432-004-2.",2017,"Carbon sequestration\nand storage","UK","Southampton ","i-Tree","urban","General public",null,"609327 (carbon sequestration)\n23,400,000 (carbon  storage)","GBP/year",2016,"GBP",2016,null,null,null,"The values for carbon sequestration refer to the removal of 2,684 tonnes of carbon. The value of carbon storage refers to the amount of carbon currently stored in Southampton trees (100,583 tonnes of carbon in 2016) . The methos to calculate the value of carbon storage is based on the central scenario for non-traded carbon (DECC, 2015)"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B10='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C10='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K10='Detailed Search'!$B$6,1,0)))","v":1},"Air","Carbon","Moffat et al. (2017). Petersfield’s trees - their importance and value. Results of the i-Tree Eco survey. Report to East Hampshire District Council, South Downs National Park Authority and Petersfield Town Council. The Petersfield Society, Petersfield.\n",2017,"Carbon sequestration\nand storage","UK","Petersfield","i-Tree","urban","General public",null,"132,000 (carbon sequestration)\n4,220,000 (carbon storage)","GBP/year",2016,"GBP",2016,null,null,null,"The values for carbon sequestration refer to the removal of 580 tonnes of carbon annually. The value of carbon storage refers to the amount of carbon currently stored in Petersfield's trees (18,260 tonnes of carbon in 2016) . The methos to calculate the value of carbon storage is based on the central scenario for non-traded carbon (DECC, 2015)"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B11='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C11='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K11='Detailed Search'!$B$6,1,0)))","v":1},"Air","Carbon","Rogers, K., Doick, K., Watson, J., and Osborne, E. (2018) Valuing Ealing’s Urban Trees. Trees for Cities and Treeconomics",2018,"Carbon sequestration\nand storage","UK","Ealing (London)","i-Tree","urban","General public",null,"527,000 (carbon sequestration)\n4,890,000 (carbon storage)","GBP/year",2017,"GBP",2017,null,null,null,"The values for carbon sequestration refer to the removal of 2,250 tonnes of carbon annually. The value of carbon storage refers to the amount of carbon currently stored in Ealing's trees (76,670  tonnes of carbon in 2016) . The methos to calculate the value of carbon storage is based on the central scenario for non-traded carbon (DECC, 2015)"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B12='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C12='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K12='Detailed Search'!$B$6,1,0)))","v":1},"Air","Carbon","Nowak et al. (2007) Assessing Urban Forest Effects and Values: New York's Urban Forest, USDA, Resource bulletin NRS-9",2007,"Carbon sequestration from the population of existing trees","US","New York","UFORE (i-tree)","City","General public","191 plots",779000,"Total value","per year","US Dollars",2007,null,"Land-use, ground and tree cover, shrub characteristics, and individual tree attributes of species.","Specific to New York"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B13='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C13='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K13='Detailed Search'!$B$6,1,0)))","v":1},"Air","Carbon","Nowak et al. (2010) Assessing Urban Forest Effects and Values: Chicago's Urban Forest, USDA, Resource bulletin NRS-37",2010,"Carbon sequestration from the population of existing trees","US","Chicago","UFORE (i-tree)","City","General public","745 plots",521000,"Total value","per year","US Dollars",2010,null,"species composition, tree density, tree health, leaf area, leaf and tree biomass, species diversity","Specific to Chicago"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B14='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C14='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K14='Detailed Search'!$B$6,1,0)))","v":1},"Air","Carbon","Nowak et al. (2010) Assessing Urban Forest Effects and Values: San Francisco's Urban Forest, USDA, Resource bulletin NRS-8",2007,"Carbon sequestration from the population of existing trees","US","San Francisco","UFORE (i-tree)","City","General public","194 plots",95000,"Total value","per year","US Dollars",2007,null,"Land-use, ground and tree cover, shrub characteristics, and individual tree attributes of species.","Specific to San Francisco"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B15='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C15='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K15='Detailed Search'!$B$6,1,0)))","v":1},"Air","Carbon","Nowak et al. (2012) Assessing Urban Forest Effects and Values: Toronto’s Urban Forest, USDA Resource bulletin NRS-79",2012,"Carbon sequestration from the population of existing trees","Canada","Toronto","i-tree","City","General public","407 plots",1100000,"Total value","per year","Canadian Dollar",2012,null,"species composition, tree density, tree health, leaf area, leaf and tree biomass, species diversity","Specific to Toronto"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B16='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C16='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K16='Detailed Search'!$B$6,1,0)))","v":1},"Air","Carbon","Roesch-McNally, G.E., Rabotyagov, S.S. (2016).  Paying for Forest Ecosystem Services: Voluntary Versus Mandatory Payments. Environmental Management 57: 585-600.",2016,"carbon sequestration","USA","Oregon and Washington States","choice experiment","regional","General public",null,"Mandatory payment sub-sample:\n0.7631 $/year (for 1% increase in carbon storage)\nVoluntary payment sub-sample:\n1.5440 $/year (for 1% increase in carbon storage)","$/household/year","annual","$","n.a.","Annual tax (subsample mandatory payment)\nAnnual voluntary payment (Subsample voluntary payment)"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B17='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C17='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K17='Detailed Search'!$B$6,1,0)))","v":1},"Air","Carbon","Rumble, H., et al. (2014). Valuing Wrexham’s Urban Forest: Assessing the Ecosystem Services of Wrexham’s Urban Trees: A Technical Report, Forest Research, UK.",2014,"Removed carbon from the atmosphere","UK","Wrexham","I-tree","Wrexham","General public",202,24000,"Total value","per year","GBP",2014,"N/A","Land-use, vegetation cover, number and size of trees, species.","Specific to Wrexham, including specific weather data."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B18='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C18='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K18='Detailed Search'!$B$6,1,0)))","v":1},"Air","Carbon","Rumble, H., et al. (2015). Valuing urban trees in Glasgow: Assessing the Ecosystem Services of Glasgow’s Urban Forest: A Technical Report, Forest Research, UK.",2015,"Removed carbon from the atmosphere","UK","Glasgow","I-tree","Glasgow","General public",200,1900000,"Total value","per year","GBP",2015,"N/A","Land-use, vegetation cover, number and size of trees, species.","Specific to Glasgow, including specific weather data."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B19='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C19='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K19='Detailed Search'!$B$6,1,0)))","v":1},"Air","Carbon","Soares, A. L., et al. (2011). \"Benefits and costs of street trees in Lisbon, Portugal.\" Urban Forestry & Urban Greening 10(2): 69-78.",2011,"$1 invested in tree management","Portugal","Lisbon","i-Tree","City","General public","3033 trees",0.33,"per tree","per year","Dollars (US)",2004,null,"Species, diameter, condition, pruning and management needs etc. \nTree growth data from the US reference cities was used but Lisbon data was used as input into the numerical models to calculate tree benefits.","Location"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B20='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C20='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K20='Detailed Search'!$B$6,1,0)))","v":1},"Air","Carbon","Rogers, K., Jaluzot, A., & Neilan, C. (2012). Green Benefits in Victoria Business Improvement District, Victoria Business Improvement District, London, UK",2012,"carbon storage, carbon sequestration, storm water attentuation, replacement cost and capital asset value of urban trees","UK","Victoria","i-Tree eco, Green Infrastructure Valuation Toolkit and  Capital Asset Valuation for Amenity Trees ","Regional","General public","1225 trees","44895.24\n972.55\n49644\n2103276\n27245046","aggregate value of carbon storage\naggregate value of carbon sequestration\naggregate value of storm water attenuation\nCLTA replacement cost\nCapital asset value","per year","pounds",2011,null,null,"values computed usingi-Tree econ, Green Infrastructure Valuation Toolkit and  Capital Asset Valuation for Amenity Trees "]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B21='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C21='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K21='Detailed Search'!$B$6,1,0)))","v":1},"Air","Carbon","Tol, R.S. (2013) Targets for global climate policy: An overview. Journal of Economic Dynamics and Control 37, 911-928.",2013,"Social cost of carbon","Global","Global","Meta-analysis","Global","General public","588 estimates\n75 studies","196\n49","per tonne of CO2",2010,"dollar (US)",2010,null,"Social cost of carbon"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B22='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C22='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K22='Detailed Search'!$B$6,1,0)))","v":1},"Air","Carbon","Balderas Torres, A., Douglas C. MacMillan, Margaret Skutsch, Jon C. Lovett (2015). Reprint of ‘Yes-in-my-backyard’: Spatial differences in the valuation of forest services and local co-beneﬁts for carbon markets in México. Ecological Economics 117:283-294",2015,"forest carbon services","Mexico","Jalisco,\nDurango,\nTamaulipas,\nMexico City","choice experiment","regional","General public",645,"5.57 - 11.39 ","$/tCO2eq","2010-11","$","2010-11","one-time tax-deductible payment to an environmental nongovernmental\norganization (NGO) in the form of a carbon offset"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B23='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C23='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K23='Detailed Search'!$B$6,1,0)))","v":1},"Air","Carbon","van Kooten, G. C. and B. Sohngen (2007). \"Economics of forest ecosystem carbon sinks: A review.\" International Review of Environmental and Resource Economics 1(3): 237-269.",2007,"Woodlands as biological sinks for carbon - cost of creating carbon offsets","Global",null,"Meta-regression analysis","Global","Governments or industry","68 studies","3-280","per tonne of CO2",null,"US Dollars",2005,"Cost based","Species of tree, growth rates etc.","Cost of land"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B24='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C24='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K24='Detailed Search'!$B$6,1,0)))","v":1},"Air","Carbon","Varela, E., Jette Bredahl Jacobsen, Robert Mavsar (2017). Social demand for multiple beneﬁts provided by Aleppo pine forest management in Catalonia, Spain. Reg Environ Change 17:539-550",2017,"Aleppo pine forest values (carbon sequestration)","Spain","Catalonia","choice experiment","regional","General public",410,"0.0005  (WTP for a marginal increase in tonnes of CO2 sequestred) ","euro/year/person","yearly","euro",2011,"Annual increase in regional tax",null,null,"Value of increase in carbon sequestration"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B25='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C25='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K25='Detailed Search'!$B$6,1,0)))","v":1},"Air","Carbon","Nijnik, M., et al. (2013). \"An economic analysis of the establishment of forest plantations in the United Kingdom to mitigate climatic change.\" Forest Policy and Economics 26: 34-42.",2013,null,"UK",null,"Review & Synthesis",null,null,null,null,null,null,null,null,null,null,null,"No values provided.  This document discusses an analysis of carbon sequestration from new woodlands in the UK."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B26='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C26='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K26='Detailed Search'!$B$6,1,0)))","v":1},"Air","Carbon","Valatin, G. (2010). Forests and carbon: valuation, discounting and risk management, Forestry Commission Research Report. Forestry Commission, Edinburgh.",2010,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Not a primary valuation study. Reviews the value of carbon from trees and woodlands."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B27='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C27='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K27='Detailed Search'!$B$6,1,0)))","v":1},"Air","Carbon","Tol, R. S. (2011). The social cost of carbon. Annu. Rev. Resour. Econ., 3(1), 419-443",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"This paper provides a review of the existing literature on the social cost of carbon and provides a discussion of the key factors influencing the estimated values. "]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B28='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C28='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K28='Detailed Search'!$B$6,1,0)))","v":1},"Air","Carbon","Zhang, Y., Jiancheng Chen, Mingxing Hu, Armin Offer (2016). Valuation of forest carbon sinks in China within the framework of the system of national accounts. J For Res 27(6): 1321 - 1328",2016,"carbon sequestration","China","-","National Statistics on forest volumes, carbon prices etc.","national",null,"n.a.","The total value of forest carbon sinks in 2003 was RMB 26.73 x 10^9 yuan and in 2008 was RMB 29.77 x 10^9 yuan (value for a 0.55% increase in carbon sink capacity across all forests in China)","RMB yuan/total change","total","yuan",null,null,null,null,"Values are based on market prices/official statistics"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B29='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C29='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K29='Detailed Search'!$B$6,1,0)))","v":1},"Air","Carbon","Nordhaus, W. (2014). Estimates of the social cost of carbon: concepts and results from the DICE-2013R model and alternative approaches. Journal of the Association of Environmental and Resource Economists, 1(1), 273-312",null,null,null,null,null,null,null,null,18.600000000000001,"per tonne of CO2",2015,"dollar (US)",2005,null,"Social cost of carbon",null,"Uses DICE 2013R model, SCC grows at 3% per year over the period to 2050"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B30='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C30='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K30='Detailed Search'!$B$6,1,0)))","v":1},"Air","Physical health","Bolund, P. and S. Hunhammar (1999). \"Ecosystem services in urban areas.\" Ecological Economics 29(2): 293-301.",1993,null,"Sweden","Stockholm","Review & Synthesis","Urban",null,null,null,null,null,null,null,null,null,null,"This is a review & synthesis - not a primary valuation study"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B31='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C31='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K31='Detailed Search'!$B$6,1,0)))","v":1},"Air","Physical health","Escobedo, P. J., et al. (2008). \"Analyzing the cost effectiveness of Santiago, Chile's policy of using urban forests to improve air quality.\" Journal of Environmental Management 86(1): 148-157.",2008,"reduction of air pollution in Greater Santiago Area","Chile","Santiago","Cost effective analysis\nquantified PM10 removal by Santiago’s urban forests based on socioeconomic strata and using field and real-time pollution\nand climate data via a dry deposition urban forest effects model","Urban","General public","200 0.04ha random, permanent, circular plots distributed (according to proportional tree cover area) among three socioeconomically determined geographic categories ","7861 - 11185"," cost per ton/PM10","per year","US dollars",2000,null,"area of trees, shrubs and grass; ambient pollutant concentration","demographic & socioeconomic chracteristics of Santiagios comunas (self-governing municipalities with teir own mayor, council and budgets and forest management programs)\n\ncomunas divided into 3 socioeconomic strata","This is a cost effectiveness study, not a valuation study, meaning lower numbers indicate better value to society. Any value under 25000 met the cost effectiveness criteria."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B32='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C32='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K32='Detailed Search'!$B$6,1,0)))","v":1},"Air","Physical health","Hutchings, T. R., V. Lawrence, and A. Brunt (2012): \"Estimating the Ecosystem Services Value of Edinburgh’s Trees \": Report by Forest Research, Forest Research UK.",2012,"Urban air quality (removal of ozone, carbon monoxide, nitrogen dioxide, PM10 and sulpher dioxide","Scotland","Edinburgh","i-Tree Eco model","Urban","General public","survey of 200 field plots located across Edinburgh",2300000,"total value of urban air quality improvements","per year","pounds",2011,null,"species diversity, tree canopy cover, age class and leaf area, urban ground cover types, % leaf area by species, air pollution removal by urban trees, carbon stored by urban trees","carbon prices, pollution values, urban land use type"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B33='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C33='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K33='Detailed Search'!$B$6,1,0)))","v":1},"Air","Physical health","Mutch et al. (2017). Understanding the value of Southampton’s urban trees. Results of the 2016 i-Tree Eco survey. University of Southampton, Forest Research, Treeconomics and Southampton City Council. Southampton. 81pp. ISBN 978-0-85432-004-2.",2017,"Airborne pollutants' removal","UK","Southampton ","i-Tree","urban","General public",null,533720,"2016 value of airborne pollutants' removal",2016,"GBP",2016,null,null,null,"It is estimated that Southampton’s trees remove 90,000 kg of airborne pollutants per year, including NO2,O3, SO2, CO and PM2.5. Ozone (O3) and nitrogen dioxide (NO2) were the pollutants removed in the highest quantities. The method used to value of urban trees in terms of avoided damage costs is based on the consideration of the Social Damage Costs (SDC) in the UK (UKSDC). This method currrently includes values for PM2.5, NO2 and SO2 pollutants"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B34='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C34='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K34='Detailed Search'!$B$6,1,0)))","v":1},"Air","Physical health","Moffat et al. (2017). Petersfield’s trees - their importance and value. Results of the i-Tree Eco survey. Report to East Hampshire District Council, South Downs National Park Authority and Petersfield Town Council. The Petersfield Society, Petersfield.\n",2017,"Airborne pollutants' removal","UK","Petersfield","i-Tree","urban","General public",null,20158,"2016 value of airborne pollutants' removal",2016,"GBP",2016,null,null,null,"It is estimated that Petersfield’s trees remove 4,4 tonnes of airborne pollutants per year, including NO2,O3, SO2, CO and PM2.5. Ozone (O3) and nitrogen dioxide (NO2) were the pollutants removed in the highest quantities. The method used to value of urban trees in terms of avoided damage costs is based on the consideration of the Social Damage Costs (SDC) in the UK (UKSDC). This method currrently includes values for PM2.5, NO2 and SO2 pollutants"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B35='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C35='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K35='Detailed Search'!$B$6,1,0)))","v":1},"Air","Physical health"," Rogers, K., Doick, K., Watson, J., and Osborne, E. (2018) Valuing Ealing’s Urban Trees. Trees for Cities and Treeconomics",2018,"Airborne pollutants' removal","UK","Ealing (London)","i-Tree","urban","General public",null,952000,"2017 value of airborne pollutants' removal",2017,"GBP",2017,null,null,null,"It is estimated that Ealing’s trees remove  33 tonnes of airborne pollutants per year. The method used to value of urban trees in terms of avoided damage costs is based on the consideration of the Social Damage Costs (SDC) in the UK (UKSDC). "]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B36='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C36='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K36='Detailed Search'!$B$6,1,0)))","v":1},"Air","Physical health","Nowak et al. (2007) Assessing Urban Forest Effects and Values: New York's Urban Forest, USDA, Resource bulletin NRS-9",2007,"Pollutants removed per hour by the urban forest","US","New York","UFORE (i-tree)","City","General public","191 plots",10600000,"Total value","per year","US Dollars",2007,null,"Land-use, ground and tree cover, shrub characteristics, and individual tree attributes of species.","Specific to New York"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B37='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C37='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K37='Detailed Search'!$B$6,1,0)))","v":1},"Air","Physical health","Nowak et al. (2010) Assessing Urban Forest Effects and Values: Chicago's Urban Forest, USDA, Resource bulletin NRS-37",2010,"Pollutants removed per hour by the urban forest","US","Chicago","UFORE (i-tree)","City","General public","745 plots",6400000,"Total value","per year","US Dollars",2010,null,"species composition, tree density, tree health, leaf area, leaf and tree biomass, species diversity","Specific to Chicago"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B38='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C38='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K38='Detailed Search'!$B$6,1,0)))","v":1},"Air","Physical health","Nowak et al. (2010) Assessing Urban Forest Effects and Values: San Francisco's Urban Forest, USDA, Resource bulletin NRS-8",2007,"Pollutants removed per hour by the urban forest","US","San Francisco","UFORE (i-tree)","City","General public","194 plots",1300000,"Total value","per year","US Dollars",2007,null,"Land-use, ground and tree cover, shrub characteristics, and individual tree attributes of species.","Specific to San Francisco"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B39='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C39='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K39='Detailed Search'!$B$6,1,0)))","v":1},"Air","Physical health","Nowak et al. (2012) Assessing Urban Forest Effects and Values: Toronto’s Urban Forest, USDA Resource bulletin NRS-79",2012,"Pollutants removed per hour by the urban forest","Canada","Toronto","i-tree","City","General public","407 plots",16900000,"Total value","per year","Canadian Dollar",2012,null,"species composition, tree density, tree health, leaf area, leaf and tree biomass, species diversity","Specific to Toronto"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B40='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C40='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K40='Detailed Search'!$B$6,1,0)))","v":1},"Air","Physical health","Powe, N. A. and K. G. Willis (2002). Social & Environmental Benefits of Forestry Phase 2 : Mortality and Morbidity Benefits of Air Pollution Absorption by Woodland, Report to Forestry Commission, Edinburgh.",2002,"Extending life expectancy of the population and reducing hospital admissions from pollution absorption by woodlands","UK","National","The associated human health benefits of improvements in air quality were estimated by applying epidemiology information on the link between air pollution and deaths and hospital admissions for respiratory diseases. Values of preventable fatalities and hospital care were those adopted by the Department of Health.","National","General public","National Inventory of Woodland and Trees","17,000 - 900,000","Total value","per year","GBP",2002,null,"Reduced particulate matter PM10 and sulphur dioxide dosage.","Conducted on 1km square parcels, therefore limited data on smaller parcels of woodland and as such limted data on urban areas (where most of the UK population resides)."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B41='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C41='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K41='Detailed Search'!$B$6,1,0)))","v":1},"Air","Physical health","Rumble, H., et al. (2014). Valuing Wrexham’s Urban Forest: Assessing the Ecosystem Services of Wrexham’s Urban Trees: A Technical Report, Forest Research, UK.",2014,"Pollutants removed by the urban forest","UK","Wrexham","I-tree","Wrexham","General public",202,700000,"Total value","per year","GBP",2014,"N/A","Land-use, vegetation cover, number and size of trees, species.","Specific to Wrexham, including specific weather data."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B42='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C42='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K42='Detailed Search'!$B$6,1,0)))","v":1},"Air","Physical health","Rumble, H., et al. (2015). Valuing urban trees in Glasgow: Assessing the Ecosystem Services of Glasgow’s Urban Forest: A Technical Report, Forest Research, UK.",2015,"Pollutants removed by the urban forest","UK","Glasgow","I-tree","Glasgow","General public",200,1400000,"Total value","per year","GBP",2015,"N/A","Land-use, vegetation cover, number and size of trees, species.","Specific to Glasgow, including specific weather data."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B43='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C43='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K43='Detailed Search'!$B$6,1,0)))","v":1},"Air","Physical health","Soares, A. L., et al. (2011). \"Benefits and costs of street trees in Lisbon, Portugal.\" Urban Forestry & Urban Greening 10(2): 69-78.",2011,"$1 invested in tree management","Portugal","Lisbon","i-Tree","City","General public","3033 trees",5.14,"per tree","per year","Dollars (US)",2004,null,"Species, diameter, condition, pruning and management needs etc. \nTree growth data from the US reference cities was used but Lisbon data was used as input into the numerical models to calculate tree benefits.","Location"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B44='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C44='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K44='Detailed Search'!$B$6,1,0)))","v":1},"Air","Physical health","Krupnick et al., (2002) \"Age, Health and the Willingness to Pay for\nMortality Risk Reductions: A Contingent Valuation\nSurvey of Ontario Residents\" The Journal of Risk and Uncertainty, 24:2; 161–186",2002,"Willingness to pay for reductions in mortality ","Canada","Ontario","Contingent valuation","Individual","General public",null,"C$l.2 to C$3.8 million ","mean wtp value of statistical life","one off payment","Dollars (Canadian)",1999,"out of pocket payment for an environmental program ",null,null,"willingness to pay is affected by mental health status and roughly 30 percent lower for people over 70"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B45='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C45='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K45='Detailed Search'!$B$6,1,0)))","v":1},"Air","Physical health","Jones, L., Vieno, M., Morton, D., Cryle, P., Holland, M., Carnell, E., Nemitz, E., Hall, J., Beck, R., Reis, S., Pritchard, N., Hayes, F., Mills, G., Koshy, A., Dickie, I. (2017). Developing Estimates for\nthe Valuation of Air Pollution Removal in Ecosystem Accounts. Final report for Office of National Statistics, July 2017.",2017,"Value of pollutants' removal linked to woodlands","UK",null,"Avoided health costs","national","General public",null,"£736,360,000 (value of capturing 315.5 ktonnes of pollutants across 2,887,500 ha of woodlands in the UK in 2015)  ","Annual",null,"GBP","2012 \n(2004 for Defra-related values)",null,null,null,"Reported wilingness to pay figures refer to changes taking place in UK woodlands for 2015"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B46='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C46='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K46='Detailed Search'!$B$6,1,0)))","v":1},"Air","Urban heat island","Nowak et al. (2010) Assessing Urban Forest Effects and Values: Chicago's Urban Forest, USDA, Resource bulletin NRS-37",2010,"Residential energy savings","US","Chicago","UFORE (i-tree)","City","General public","745 plots",360000,"Total value","per year","US Dollars",2010,null,"species composition, tree density, tree health, leaf area, leaf and tree biomass, species diversity","Specific to Chicago"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B47='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C47='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K47='Detailed Search'!$B$6,1,0)))","v":1},"Air","Urban heat island","Nowak et al. (2012) Assessing Urban Forest Effects and Values: Toronto’s Urban Forest, USDA Resource bulletin NRS-79",2012,"Residential energy savings","Canada","Toronto","i-tree","City","General public","407 plots",9700000,"Total value","per year","Canadian Dollar",2012,null,"species composition, tree density, tree health, leaf area, leaf and tree biomass, species diversity","Specific to Toronto"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B48='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C48='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K48='Detailed Search'!$B$6,1,0)))","v":1},"Air","Urban heat island","Soares, A. L., et al. (2011). \"Benefits and costs of street trees in Lisbon, Portugal.\" Urban Forestry & Urban Greening 10(2): 69-78.",2011,"$1 invested in tree management","Portugal","Lisbon","i-Tree","City","General public","3033 trees",6.16,"per tree","per year","Dollars (US)",2004,null,"Species, diameter, condition, pruning and management needs etc. \nTree growth data from the US reference cities was used but Lisbon data was used as input into the numerical models to calculate tree benefits.","Location"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B49='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C49='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K49='Detailed Search'!$B$6,1,0)))","v":1},"Air","Urban heat island","Konopacki, S., & Akbari, H., (2000) Energy savings calculations for urban heat island mitigation strategies in Baton Rouge, Sacramento and Salt Lake City. Proceedings of the 2000 ACEEE Summer Study on Energy Efficiency in Buildings, Vol. 9. Pacific Grove, CA, p. 215.",2000,"energy savings from urban heat island mitigation","US","Baton Rouge, Sacramento and Salt Lake City",null,"City","General public",null,"6.3 million\n12.8 million\n1.5 million","aggregate for the city level mitigation scheme\nBaton Rouge\nSacramento\nSalt Lake City","per year","dollar (US)"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B50='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C50='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K50='Detailed Search'!$B$6,1,0)))","v":1},"Air","Urban heat island","Akbari, H. (2002). \"Shade trees reduce building energy use and CO2 emissions from power plants.\" Environmental Pollution 116: S119-S126.",2002,"Urban tree shading, reducing energy consumption\ncarbon sequestration","US","Cities","Review & Synthesis","City","Urban populations",null,null,null,null,null,null,null,null,null,"This is a review & synthesis - not a primary valuation study"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B51='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C51='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K51='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Carbon","Hutchings, T. R., V. Lawrence, and A. Brunt (2012): \"Estimating the Ecosystem Services Value of Edinburgh’s Trees \": Report by Forest Research, Forest Research UK.",2012,"carbon sequestration","Scotland","Edinburgh","i-Tree Eco model","Urban","General public","survey of 200 field plots located across Edinburgh","149000000\n35000000","C stored in total stock of Edinburgh's trees in 2011\nvalue of additional C to be stored in Edinburgh's trees through 2050","Net Present Value\nNet Present Value","pounds",2011,null,"species diversity, tree canopy cover, age class and leaf area, urban ground cover types, % leaf area by species, air pollution removal by urban trees, carbon stored by urban trees","carbon prices, pollution values, urban land use type"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B52='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C52='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K52='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Food - agriculture and fisheries","Bateman, I. J., et al. (1996). \"Household Willingness to Pay and Farmers' Willingness to Accept Compensation for Establishing a Recreational Woodland.\" Journal of Environmental Planning and Management 39(1): 21-43.",1997,"New recreational woodland facilities","UK","Oxfordshire","Contingent valuation","Farm","Farmers","19 farms interviewed","617\n250","£/ha\n£/acre","per year","pounds",1991,"Govt. grants and additional payments from a woodland trust","agricultural land use before the scheme\nprofit per ha","Farmers were made aware of the Community Woodland Scheme paying £950/ha (one time fee) and further annual grants reaching up to £250/yr for a 10 - 15 years depending on tree species "]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B53='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C53='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K53='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Food (agriculture and subsistence) ","Bullock, C. H. and J. Kay (1997). \"Preservation and Change in the Upland Landscape: The Public Benefits of Grazing Management.\" Journal of Environmental Planning and Management 40(3): 315-334.",1997,"landscape improvements due to reductions in grazing pressure","Scotland","Central Southern Uplands of Scotland","Contingent Valuation","regional","General public","1350 local residents",32000000,"pounds per year for policies which use grazing extensification to bring about landscape improvements","per year","pounds",1994,"national taxation; council tax; trust fund","colour of heather; presence of wildflowers; erosion; landscape quality","grazing intensity; socioeconomic characteristics"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B54='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C54='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K54='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Housing","Donovan, G. H. and D. T. Butry (2010). \"Trees in the city: Valuing street trees in Portland, Oregon.\" Landscape and urban planning 94(2): 77-83.",2010,"impact of street trees on house values","USA","Portland, Oregon","Hedonic Pricing","Urban","Residential property owners","3479 single family homes ",8870,"per house ","at sale","US dollars",2007,null,"number of street trees fronting the property, diameter of tree, height of tree, tree health/appearance, tree crown area within 100ft","distance from busy street, pavement damage, house condition. House characteristics (size, number of rooms etc)"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B55='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C55='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K55='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Housing","Donovan, G. H. and D. T. Butry (2011). \"The effect of urban trees on the rental price of single-family homes in Portland, Oregon.\" Urban Forestry & Urban Greening 10(3): 163-168.",2011,"effect of urban trees on home rental price","USA","Portland, Oregon","Hedonic Pricing","Urban","Residential property owners","1000 single family detached homes","5.62\n21.00","per tree on the house's lot\nper tree in the public right of way","per monthly rental income\nper monthly rental income","US dollars\nUS dollars",2009,null,"number of trees on the house's lot; distance to parks; area of tree cover","house features (number  of rooms; bathrooms size, etc)"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B56='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C56='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K56='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Housing","Garrod, G. and K. Willis (1992). \"The amenity value of woodland in Great Britain: A comparison of economic estimates.\" Environmental and Resource Economics 2(4): 415-434.",1992,"aggregate amenity value that forestry provides to households living in close proximity to FC estate","UK","1km grid square","hedonic pricing","national","Residential property owners","156226 households",353323,"aggregate across households","per year","pounds",1991,null,"Tree species; yaer of planting","house characterisitics; household characterisitcs"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B57='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C57='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K57='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Housing services","Perino, G., et al. (2014). \"The Value of Urban Green Space in Britain: A Methodological Framework for Spatially Referenced Benefit Transfer.\" Environmental & Resource Economics 57(2): 251-272.",2014,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"No values provided. A meta-analysis of valuing urban greenspace in the UK"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B58='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C58='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K58='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Housing services","Dare, A.M.,Idris Akanbi Ayinde, Adebayo Musediq Shittu, (2015) \"Urban trees forest management in Abeokuta Metropolis, Ogun State, Nigeria: An application of contingent valuation method\", Management of Environmental Quality: An International Journal, Vol. 26 Issue: 1, pp.72-83",2015,"value of tree management in a urban area, where the main beneficiaries are residents, enjoying the scent and scenery provided by urban green/trees","Nigeria","Abeokuta, south-west Nigeria","contingent valuation","urban","Urban populations",120,365.69,"₦/individual/month",null,"₦ (Nigerian naira)",null,null,"Other variables controlled for are related to the ecosystem services provided by urban trees, including pollution control, prevention of weather extremes, other services.","Individuals' characteristics controlled for: age, sex, education, household size, occupation, income.","The value is likely to embed several value components, including urban weather control, air pollution control and other services provided by urban trees.   "]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B59='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C59='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K59='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Mental health","Smith, D. M., Damschroder, S. Y. H., and Ubel, P. A., (20120)What's It Worth? Public Willingness to Pay to Avoid Mental Illnesses Compared With General Medical Illnesses, Psychiatric Services 2012 63:4, 319-324 ",2012,"Willingness to pay to avoid mental illness","US","National","Stated preference ","Individual","General public",710,76.900000000000006,"to avoid depression","per monthly  ","Dollars (US)",2006,"Out of pocket",null,"US","The payment vehicle may raise issues of credibility\nThe study is for the US and needs to be altered to transfer to UK populations\nDemographic characterstics were included in the survey and could be used to aid benefit transfer.\nDepression is broadly defined and appears open to interpretation by respondents."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B60='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C60='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K60='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Non-use value ","Bakhtiaria, F.,  Jacobsen, F.B., Thorsen, B.J., Lundhede, T.H., Strange,N., Boman, M. (2018). Disentangling Distance and Country Effects on the Value of Conservation across National Borders. Ecological Economics 147: 11-20",2018,"Presence of natural dynamics in the area","Denmark\nSweden","Funen and Zealand (Denmark)\nScania (Sweden)","choice experiment","regional","General public",1845,"WTP for an increase in the natural dynamics (of natural decay processes) in the forest (from occasionally leaving trees to age, die and decay to leaving 15 trees/ha to age, die and decay:\n190 - for residents in Zealand\n270 - for residents in Scania","per year","per year","DKK",2012,"income tax",null,null,"Value of increasing natural forest dynamics is assumed to be mostly associated with non-use values"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B61='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C61='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K61='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Non-use value production","Borzykowski, N., Baranzini, A., Maradan, D. (2018). Scope Effects in Contingent Valuation: Does the Assumed Statistical Distribution of WTP Matter? Ecological Economics 144: 319-329",2018,"increase in the surface of protected\nforests, from 5% to 10% of the total forest surface","Switzerland","Switzerland (one split sample)\nGeneva (the other split sample)","contingent valuation","national (one split sample)\ncity (the other split sample)","General public","228 (national split sample)\n191 (city split sample)","276.69 - 2064.38 (depending on the parametric distribution, used i.e. whether logistic or log-normal) - national split sample\n182.34 - 334.65 (depending on the parametric distribution, used i.e. whether logistic or log-normal) - Geneva split sample","CHF/person","one off payment","CHF",2014,"Federal or Cantonal lump-sum tax",null,null,"Methodological paper concerned with scope sensitivity in contingent valuation method. To test for this, the authors compare WTP for increased forest area at two different scales: national and local (city)"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B62='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C62='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K62='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Non-use value production","Ahlheim, M., Börger, T., Frör, O. (2015). Replacing rubber plantations by rain forest in Southwest China—who would gain and how much? Environ Monit Assess (2015) 187: 3",2015,"rain forest reforestation, replacing rubber plantations","China","Southwest China","Contingent valuation","nature reserve","Urban populations",2517,"163.84 (mean value of reforestation)","per household","per year","RMB/CNY",2009,"government fund","Area was a biodiversity hotspot previous to rubber plantation and an ecologically valuable area.","Factors controlled for in the regression: respondents' income, education, marital status, children, gender, age, household size. Also: emotional care for environmental issues, concern for environmental problems, need for social aqpproval, understandinof nature as something support human well-being, life satisfaction.","The CV question presented a scenario whereby reforestation would bring: 1) more habitat\nfor a number of rare plant and animal species; 2) better water quality in local rivers (less pesticide) and, consequently, less pesticide contamination in agricultural food products and the whole local ecosystem. Non-use value components were identified as well. However, the study did not allow to disentangle values by component. WTP values refer to the whole bundle of goods/services presented."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B63='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C63='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K63='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Physical health","Holt, A. and Rouquette, J. (2017). The quantification and valuation of the environmental, social and economic impacts of the Forest of Marston Vale. Report prepared for:\nThe Forest of Marston Vale, March 2017",2017,null,"England","Marston Vale","QUALY","local","Recreational users",null,"£20,000 (value of the cost savings to the NHS from the appropriate level fo physical activity resulting from active visits at the Forest of Marston Vale)","Annual value (£)/QALY ",2015,"£",2015]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B64='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C64='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K64='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Physical health","Krupnick et al., (2002) \"Age, Health and the Willingness to Pay for\nMortality Risk Reductions: A Contingent Valuation\nSurvey of Ontario Residents\" The Journal of Risk and Uncertainty, 24:2; 161–186",2002,"Willingness to pay for reductions in mortality ","Canada","Ontario","Contingent valuation","Individual","General public",null,"C$l.2 to C$3.8 million ","mean wtp value of statistical life","one off payment","Dollars (Canadian)",1999,"out of pocket payment for an environmental program ",null,null,"willingness to pay is affected by mental health status and roughly 30 percent lower for people over 70"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B65='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C65='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K65='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Recreation","Agimass, F., Lundhede, T., Panduro, T.E., Bredahl Jacobsen, J. (in press). The choice of forest site for recreation: A revealed preference analysis using spatial data. Ecosystem Services ",2017,"forest recreational value","Denmark","n.a. ","Travel Cost method","national","Recreational users",481,"n.a.","n.a.","n.a.","n.a.",2015,"travel cost","Variables of the forest controlled for: Forest area, forest area form (shape), forest density, species composition, other nature features (lakes or wetlands closeby), historical sites, terrein differences, state forest, distance","Other individual-specific variables have been controlled for: age of respondent, mode of transport, purpose of visit","No values (WTP) presented in this study"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B66='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C66='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K66='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Recreation","Calleja, A., Diaz-Balteiro, L., Iglesias-Merchan, C., Soliño, M. (2017). Acoustic and economic valuation of soundscape: An application to the\n‘Retiro’ Urban Forest Park. Urban Forestry and Urban Greening 27: 272-278 ",2017,"noise reduction (preferences for soundscapes)","Spain","Madrid (Retiro Park)","contingent valuation","city","Recreational users",191,"\n6.36 (weighted average, considering people who would and would not be willing to pay)","euro/person","one off payment","euros",2015,"one off donation",null,"Socio-demographic variables of the visitors accounted for: education, children, income, gender ","It is not clear from the study what is the magnitude of the noise reduction achieved through the programme."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B67='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C67='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K67='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Recreation","Day, B. and Smith, G. (2018) The ORVal Recreation Demand Model: Extension Project, Land Environment, Economics and Policy Institute (LEEP), University of Exeter.",2018,"Recreational value of greenspace","UK",null,"travel cost method","national","Recreational users",null,3.33,"per trip value",null,"GBP",2017]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B68='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C68='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K68='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Recreation","Lupp, G., Förster, B., Kantelberg, V., Markmann, T.,Naumann, J., Honert, C., Koch, M., Pauleit, S. (2016). Assessing the Recreation Value of Urban Woodland Using the Ecosystem Service Approach in Two Forests in the Munich Metropolitan Region. Sustainability 2016, 8, 1156",2016,"Recreation","Germany","Munich metropolitan area","camera traps for visitor counting + interviews + travel cost (using daily ticket prices, 2.66 euros per ticket, and 0.30 euros per km travelled)","City","Recreational users","n.a. ","15,440 (Forest Adventure Trail)\n2,913.57 (World Forest)","Euro/hectare/year","per ha/year","euros",2016,"distance travelled"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B69='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C69='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K69='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Recreation","Scarpa, R. (2003). Social & Environmental Benefits of Forestry Phase 2 : The Recreation Value of Woodlands, Report to Forestry Commission, Edinburgh.",2003,"Recreational visits to UK woodlands","England and Wales","National","Contingent valuation combined with benefit transfer from historic data","UK","General public",279,"1.66 - 2.78","per person","per visit","GBP",2002,"Entry charge","species composition, tree density, tree health, leaf area, leaf and tree biomass, species diversity","Location and facilities of the sites"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B70='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C70='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K70='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Recreation","Sen, A., et al. (2014). \"Economic Assessment of the Recreational Value of Ecosystems: Methodological Development and National and Local Application.\" Environmental & Resource Economics 57(2): 233-249.",2014,"Recreational value of forests and woodlands","GB","National","Meta-analysis model of recreational value estimates","National","General public",297,3.34,"per person","per visit","GBP",2010,null,null,"Location and facilities of the site"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B71='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C71='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K71='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Recreation","Smailes, P. J. and D. L. Smith (2001). \"The growing recreational use of state forest lands in the Adelaide hills.\" Land Use Policy 18(2): 137-152.",2001,"Recreational visits Adelaide Hills","Australia","Adelaide Hills","Travel cost method","Regional","General public",658,2150000,"Total value of recreation use value","Per year","AUS Dollar",1997,null,"species composition, tree density and species diversity","Location and facilities at sites. Substitute sites available."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B72='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C72='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K72='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Recreation","Termansen, M., et al. (2013). \"Modelling and mapping spatial heterogeneity in forest recreation services.\" Ecological Economics 92: 48-57.",2013,null,"Denmark","National","Travel cost method used within mixed logit models of destination site selection and count models of total trip demand with detailed spatial information from GIS.","National","General public",28947,3.76,"per person","per visit","Euros",2011,null,"Size of the contiguous forested area associated with each site, distance to water features, and adjacency of the forested area to other areas of semi-natural vegetation. The forest area was further classified into broadleaved forest, coniferous forest and scrub vegetation.","Location and facilities of the site"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B73='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C73='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K73='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Recreation","Tyrväinen, L. (2001). \"Economic valuation of urban forest benefits in Finland.\" Journal of Environmental Management 62(1): 75-92.",2001,"Willingness to pay for the use of a recreation area","Finland","Joensuu and Salo","Contingent valuation","Joensuu and Salo","General public",500,"42 - 53\n31 - 76","per household (Joensuu)\nper household (Salo)","per month","Finnish Markka",null,"Taxes","Type of forest (mixed, pine, coniferous), maturity of the forest.","Location and facilities at sites. Substitute sites available."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B74='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C74='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K74='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Recreation","Tyrväinen, L. (2001). \"Economic valuation of urban forest benefits in Finland.\" Journal of Environmental Management 62(1): 75-92.",2001,"Willingness to pay for the use of a recreation area","Finland","Joensuu and Salo","Contingent valuation","Joensuu and Salo","General public",500,"42 - 53\n31 - 76","per household (Joensuu)\nper household (Salo)","per month","Finnish Markka",1998,"Taxes","Type of forest (mixed, pine, coniferous), maturity of the forest.","Location and facilities at sites. Substitute sites available."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B75='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C75='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K75='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Recreation","Tyrväinen, L. and H. Väänänen (1998). \"The economic value of urban forest amenities: an application of the contingent valuation method.\" Landscape and Urban Planning 43(1–3): 105-118.",1998,"Willingness to pay for the use of a recreation area","Finland","Salo","Contingent valuation","Joensuu","General public",500,"108 - 141","per household","per season (winter season and summer season)","Finnish Markka",1998,"Taxes","Type of forest (mixed, pine, coniferous), maturity of the forest.","Location and facilities at sites. Substitute sites available."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B76='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C76='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K76='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Recreation","Zandersen, M., M. Termansen, and F. S. Jensen (2007): \"Testing Benefits Transfer of Forest Recreation Values over a Twenty-Year Time Horizon,\" Land Economics, 83, 412-440",2007,"Forest recreation","Denmark","National","Travel cost method","National","General public",6987,"14,643 - 11,600,000","based on visit numbers of 4,295 - 3,300,000 per site.\nper person","per visit","Euros",1997,null,"Species (broadleaf or coniferous) and age diversity.","Location and facilities of the site"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B77='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C77='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K77='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Recreation","Abildtrup, J., et al. (2014). \"Combining RP and SP data while accounting for large choice sets and travel mode – an application to forest recreation.\" Journal of Environmental Economics and Policy 4(2): 177-201.",2014,"Quality (additional hiking trails) & access (converting public to privately owned forests) to forest recreation sites","France","Lorraine","Travel Cost Method\nChoice Experiment\n\napply an error-component mixed-logit model to simultaneously model the travel mode decision and the site selection decision and to combine revealed and stated preference data;\n\neffect on WTP for changes in forest quality and access is evaluated based on alternative choice set\nspecifications, model specifications and data sources (revealed and stated preference\ndata)","Municipal (Sarrebourg)","Recreational users","526 survey respondents (individuals)","value ranges in this study are delineated by travel method to access the site and sampling strategy\n\n\n0.103-0.137\n0.266-0.408\n0.421-.666\n\n\n-0.122 - -0.074\n-0.408 - -0.358\n-0.871 - -0.880","per person\n\nNew hiking trails:\nper driver\nper cyclist\nper walker\n\nconversion from pubic to private ownership:\nper driver\nper cyclist\nper walker","per visit","euro",2008,null,"dominant tree species\nAccess to water","Hiking trails\nFacilities (parking/picnic)\nDistance from home"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B78='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C78='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K78='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Recreation","Bateman, I. J., et al. (1996). \"Household Willingness to Pay and Farmers' Willingness to Accept Compensation for Establishing a Recreational Woodland.\" Journal of Environmental Planning and Management 39(1): 21-43.",1996,"New recreational woodland facilities","UK","Oxfordshire","Contingent valuation","100 acre wood","Recreational users","stratified sample of 325 households in Wantage, Oxfordshire","8.92-11.14\n0.75-0.89\n44450-141252","Household\nHousehold\nTown","Annual \nper visit\nAnnual","pounds",1991,"Annual trust fund\nper-visit entrance fee","based on the introduction of a new 100 acre wood for recreational use (e.g. under the CWS scheme)","availability of substitute recreation facilities; frequency of visits; income"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B79='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C79='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K79='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Recreation","Bateman, I.J., Garrod, G.D., Brainard, J.S. and Lovett, A.A. (1996) Measurement, valuation and estimation issues in the travel cost method: A geographical information systems approach, Journal of Agricultural Economics, 47(2): 191-205.",1996,"Open access woodland recreation sites","UK","Thetford","Travel cost","National","Recreational users",351,"3.95 - 4.53","per person","per visit","GBP",1993]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B80='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C80='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K80='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Recreation","Bennett, R., et al. (1995). \"The Value of Footpath Provision in the Countryside: A Case-study of Public Access to Urban-fringe Woodland.\" Journal of Environmental Planning and Management 38(3): 409-418.",1995,"footpath provision in the countryside - public access to uban fringe woodland","UK","Bracknell in Berkshire Windsor Forest","Contingent valuation","Town/City","Recreational users","200 users of the path network in 1993/1994","1.11\n14.25\n26.42","Entrance fee\nCouncil tax\nOne-off donation","per visit\nannual\none-off","pounds",1994,"(1) payment of an entrance fee per person;\n(2) an addition to their annual Council Tax; or\n(3) a one-off voluntary donation to a charitable trust.","1052 ha of mature, mainly Scots Pine, woodland in Windsor Forest on the urban fringe of Bracknell in Berkshire\n\nattributes of the paths that they valued (landscape, peace and quiet, views, wildlife, car parking, accessibilit, footpath surface etc)","frequency of use and reason for use\n\nsocio-economic information on users (e.g. income, household\nsize etc."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B81='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C81='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K81='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Recreation","Bishop, K. (1992). \"Assessing the benefits of community forests: an evaluation of the recreational use benefits of two urban fringe woodlands.\" Journal of Environmental Planning and Management 35(1): 63-76.",1992,"New recreational woodlands","UK","Derwent walk country park in Gateshead\n\nWhippendell Wood (Watford Borough Council)","Contingent Valuation","Urban fringe","Recreational users","100 survey respondents at each site (200 in total)","0.422 - 1.3363\n18.53 - 27.03\n43400 - 483000\n166770 - 459510","£/capita\n£/capita\nvalue of total visits\naggregate willingness to invest","per visit\nwillingness to invest per year\nper year\nper year","pounds",1990,"Per visit fee;\nwillingness to invest in a private company guaranteeing unlimited access to the site\n","quiet/peacefull qualities\nwoodland wildlife\nwoodland landscape\n","journey starting point, distance travelled, travel time, mode of transport, party size et,"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B82='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C82='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K82='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Recreation","Bullock, C. H. and J. Kay (1997). \"Preservation and Change in the Upland Landscape: The Public Benefits of Grazing Management.\" Journal of Environmental Planning and Management 40(3): 315-334.",1997,"Walking trails; bird watching","Scotland","Central Southern Uplands of Scotland","Contingent Valuation","regional","Recreational users","150 hiking trail visitors w/ on-site surveys","53 - 86","per ha ","per year","pounds",1994,"national taxation; council tax; trust fund","colour of heather; presence of wildflowers; erosion; landscape quality","grazing intensity; socioeconomic characteristics"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B83='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C83='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K83='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Recreation","Forest Enterprise England (2016). Natural capital accounts 2015-16. ",2016,"Net asset value for recreation and public access","England","national","values taken from http://www.forestry.gov.yk/pdf/sebreport0703.pdf/$FILE/sebreport0703.pdf ","national","Recreational users",null,"147943000 (aggregated over 73000000 annual visits)","£/year","2015-16","£","2015-16"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B84='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C84='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K84='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Recreation","Jones, A., et al. (2010). \"Estimating Arrival Numbers for Informal Recreation: A Geographical Approach and Case Study of British Woodlands.\" Sustainability 2(2): 684-701.",2010,"UK woodlands","UK","all","travel cost methods",null,"Recreational users","10862 visitors",4557980,"total travel cost value","per year","pounds",2009,null,"accessibility, facilities at the site, avilailability of substitutes","travel cost data, age, income, employment, etc"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B85='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C85='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K85='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Recreation","Roesch-McNally, G.E., Rabotyagov, S.S. (2016).  Paying for Forest Ecosystem Services: Voluntary Versus Mandatory Payments. Environmental Management 57: 585-600.",2016,"forest habitat\nwater quality \npublic recreation access","USA","Oregon and Washington States","choice experiment","regional","General public",null,"Mandatory payment sub-sample:\n0.1034 $/year (for 1% increase in mature forest acreage)\n4.7106 $/year (for 1% increase in habitat for salmon)\n56.3627 $/year (for increase in public access)\nVoluntary payment sub-sample:\n0.1347 $/year (for 1% increase in mature forest acreage)\n12.6405 $/year (for 1% increase in habitat for salmon)\n38.2258 $/year (for increase in public access)","$/household/year","annual","$","n.a.","Annual tax (subsample mandatory payment)\nAnnual voluntary payment (Subsample voluntary payment)",null,"Other respondents' variables controlled for: sex of respondent, education, income, etc.","The following values are classified as recreational values, as it is highly likely that they are associated with recreational benefits to people, but it is possible that non-use value components are attached to them as well."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B86='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C86='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K86='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Recreation","Sen, A., et al. (2014). \"Economic Assessment of the Recreational Value of Ecosystems: Methodological Development and National and Local Application.\" Environmental & Resource Economics 57(2): 233-249.",2014,"Marginal value of woodland or urban forest at a recreational site","UK","National","Meta-analysis model of recreational value estimates","recreational site","Recreational users","98 studies",0.77500000000000002,"per person","per trip","pounds",2010,null,null,"meta-analysis estimates the marginal value added to the per person per trip value of recreation when the site has woodland or urban forest\nSample size, habitat type (coastal and marine, freshwater and floodplains, wetlands, urban fringe), valuation unit, use value, valuation method (revealed or stated preference), UK or overseas ","No primary values provided. A meta-analysis of relevant literature is used to predict site specific per-visit values.  Prices were deflated using the GDP deflator for the UK."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B87='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C87='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K87='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Recreation","Sen, A., et al. (2014). \"Economic Assessment of the Recreational Value of Ecosystems: Methodological Development and National and Local Application.\" Environmental & Resource Economics 57(2): 233-249.",2014,"Woodland or urban forest recreational site","UK","National","Meta-analysis model of recreational value estimates","recreational site","Recreational users","98 studies",3.34,"per person","per trip","pounds",2010,null,null,"meta-analysis estimates the per person per trip value of recreation to a woodland or urban forest recreational site\nSample size, habitat type (coastal and marine, freshwater and floodplains, wetlands, urban fringe), valuation unit, use value, valuation method (revealed or stated preference), UK or overseas ","No primary values provided. A meta-analysis of relevant literature is used to predict site specific per-visit values.  Prices were deflated using the GDP deflator for the UK."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B88='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C88='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K88='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Recreation","Zandersen, M., & Tol, R. S. (2009). A meta-analysis of forest recreation values in Europe. Journal of Forest Economics, 15(1), 109-130.",2009,"Forest recreation","Europe ",null,"Meta-analysis (travel cost studies)","Site","Recreational users","26 studies","0.66 - 112\n4.52","Range for consumer surplus per trip\nMedian Value of consumer surplus per trip","per trip","euros",2000,"travel cost","The majority of gathered valuation studies report on size for forest site and annual number of visits to recreation sites, but exclude more detailed information on the physical site characteristics such as phenology, diversity and density of vegetation, type of site management, and provision of visitor facilities, which is believed to be of importance for the choice and length of recreation visits"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B89='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C89='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K89='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Recreation","Bartczak, A., Lindhjem, H., Navrud, S., Zandersen, M., & Żylicz, T. (2008). Valuing forest recreation on the national level in a transition economy: The case of Poland. Forest Policy and Economics, 10(7), 467-472.",2008,"Forest recreation","Poland",null,"Travel cost and contingent valuation","Site","Recreational users","501 observations","0.64 - 6.93","per person","per trip","euros",2005,"travel cost",null,"availability of substitutes, income, distance to site (travel time), town size "]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B90='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C90='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K90='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Recreation","Filyushkina, A., Fitalew Agimass, Thomas Lundhede, Niels Strange, Jette Bredahl Jacobsen (2017). Preferences for valuation in forest characteristics: Does diversity between stands matter? Ecological Economics 140: 22-29.",2017,"Variation in forest tree characteristics","Denmark","national","choice experiment","national","general population",1226,"14.48 (marginal WTP for moving from a coniferous to a broadleaved forest)\n19.92 (marginal WTP for moving from a coniferous to a mixed forest)\n41.52 (marginal WTP for moving from newly established stands to low trees)\n47.40 (marginal WTP for moving from newly established stands to high trees)\n57.40 (marginal WTP for moving from newly established stands to trees of varying heights)\n9.08 (marginal WTP for moving away from equality to diversity of tree species across stands)\n9.20 (marginal WTP for moving from equality to diversity of tree heights across stands) ","per person in DKK",null,"DKK",2015,"distance to the forest",null,null,"In the study, the authors focused on the recreational values, but people might also have non-use values associated with variation in height or species"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B91='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C91='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K91='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Recreation","Garrod, G. (2002). Social & Environmental Benefits of Forestry Phase 2 : Landscape Benefits, Report to the Forestry Commission, Edinburgh.",2002,"forest landscape views","UK","Aberystwyth, Chester, Loch Lomond, Exeter, Harlow, Penrith & Keswick","Choice Experiment","landscape","Residential property owners","stratified sample of 416 households","246 - 437","per household","per year","pounds",2002,"annual cost of living","View; type of forest/lanscape (mountain conifer, mountain broad leaves, hilly/rolling broad leaves, etc)","recreational access to the view; annual cost ofliving in the area; council tax; cost of travelling to wok; rent"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B92='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C92='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K92='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Recreation","Jones, A., Wright, J., Bateman, I., & Schaafsma, M. (2010). Estimating arrival numbers for informal recreation: a geographical approach and case study of British woodlands. Sustainability, 2(2), 684-701.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"This paper describes a novel methodology for generating models of demand for informal outdoor recreation. We analyze visitor data from multiple forest sites across Great Britain. We introduce a wide range of variables typically omitted from most economic demand models of recreation. These include on-site characteristics, and off-site locational drivers of visitation including substitute and complement availability. A Poisson multilevel model is used to model visitor counts, and the methodology is applied to a dataset of more than 10,000 visits to open-access woodland sites. Results confirm it identifies a broader range of demand drivers than previously observed. The use of nationally available explanatory variables enhances the transferability and hence general applicability of the methodology."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B93='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C93='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K93='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Recreation","Benson, J. F. (1994). Values for forest landscapes using travel cost and tokens. Landscape Research, 19(1), 23-25",1994,"Forest landscape  ","UK",null,null,null,null,"3623 respondents","53 million\n15.4 million\n10.6 million\n15.4 million\n5.5 million\n6.1 million","aggregate values for attributes of total Forestry Commission estate in 1988:\ntotal value\nwildlife\nlandscape\naccess\nspecial recreation \nvisitor centres\n","per year","pounds",1988,"tokens and travel cost method","forest attributes: wildlife; forest landscape; recreation facilities; information centre/museum and access","value of travel time, travel costs, income and other sites visited as part of the trip"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B94='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C94='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K94='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Recreation","Holt, A. and Rouquette, J. (2017). The quantification and valuation of the environmental, social and economic impacts of the Forest of Marston Vale. Report prepared for:\nThe Forest of Marston Vale, March 2017",2017,null,"England","Marston Vale","Average spend (based on MENE survey on visitation patterns)","local","Recreational users",null,"£6.91 (value of creating the Forest of Marston Vale)","Annual value (£)/person (based on average spend per visit)",2015,"£",2015]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B95='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C95='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K95='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Recreation","Ojea, E., Loureiro, M.L., Allo' M., Barrio, M. (2016). Ecosystem Services and REDD: Estimating the Benefits of Non-Carbon Services in Worldwide Forests. World Development 78: 246–261",2016,"Recreation",null,null,"meta-analysis","global",null,"205 observations",218,"US$/ha/year","per ha/year","US$",2008,null,null,null,"The paper reviews various services provided by forests: water and air regulation (not classified because it does not allow to clearly identify the final good as well as the production function), water supply (direct use of water quantity, including water for agriculture or human consumption or for hydroelectric power), damage mitigation (control against floods, erosion, fires, also not classified because it could fall under a mix of final ecosystem services and production functions), climate regulation (climate mitigation, carbon sequestration in soil and trees), food and fiber and wildlife diversity. "]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B96='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C96='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K96='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Spiritual and cultural","Macmillan, D. C. (2002). Social & Environmental Benefits of Forestry Phase 2: The Value of Managing Forests to Protect Archaeology, Report to Forestry Commission, Edinburgh.",2002,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Not a primary valuation study -  instead a benefit transfer approach is used which adapts WTP data from relevant previous studies that value the protection of archaeology"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B97='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C97='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K97='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Spiritual and cultural services","The Research Box, et al. (2009). Experiencing Landscapes: capturing the cultural services and experiential qualities of landscape, A Natural England Commissioned Report NECR024.",2009,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"No values provided. Reviews evidence of the cultural services and experiential qualities that landscapes provide to society."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B98='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C98='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K98='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Urban heat island","Akbari, H., et al. (1997). \"Peak power and cooling energy savings of shade trees.\" Energy and Buildings 25(2): 139-148.",1997,"Urban tree shading, leading to cooling energy savings and peak power reductions","US","Sacramento, CA","DOE-2.1E Simulation Program","Household","Residential property owners",2,null,null,null,null,null,null,null,null,"Results reported in biophysical units (temperature, kW, kWh/d). Impacts not valued in monetary terms."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B99='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C99='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K99='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Urban heat island","Akbari, H. (2002). \"Shade trees reduce building energy use and CO2 emissions from power plants.\" Environmental Pollution 116: S119-S126.",2002,"Urban tree shading, reducing energy consumption\ncarbon sequestration","US","Cities","Review & Synthesis","City","Urban populations",null,null,null,null,null,null,null,null,null,"This is a review & synthesis - not a primary valuation study"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B100='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C100='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K100='Detailed Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Food - agriculture and fisheries","Ojea, E., Loureiro, M.L., Allo' M., Barrio, M. (2016). Ecosystem Services and REDD: Estimating the Benefits of Non-Carbon Services in Worldwide Forests. World Development 78: 246–261",2016,"food and fiber",null,null,"meta-analysis","global",null,"205 observations",1268,"US$/ha/year","per ha/year","US$",2008,null,null,null,"The paper reviews various services provided by forests: water and air regulation (not classified because it does not allow to clearly identify the final good as well as the production function), water supply (direct use of water quantity, including water for agriculture or human consumption or for hydroelectric power), damage mitigation (control against floods, erosion, fires, also not classified because it could fall under a mix of final ecosystem services and production functions), climate regulation (climate mitigation, carbon sequestration in soil and trees), food and fiber and wildlife diversity. "]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B101='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C101='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K101='Detailed Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Food (agriculture and subsistence) ","Forest Enterprise England (2016). Natural capital accounts 2015-16. ",2016,"Plant and seed supply","England","national","market value","national","Governments or industry",null,"3.774m","£/year","2015-16","£","2015-16"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B102='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C102='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K102='Detailed Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Food (agriculture and subsistence) ","Forest Enterprise England (2016). Natural capital accounts 2015-16. ",2016,"Net asset value wild game management","England","national","market value","national","Governments or industry",null,"0.040m","£/year","2015-16","£","2015-16"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B103='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C103='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K103='Detailed Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Food (agriculture and subsistence) ","Gelo, D. and Koch, S.F. (2015). Contingent valuation of community forestry programs in Ethiopia: controlling for preference anomalies in double-bounded CVM",2015,"WTP for a proposed community forest plantation for sustainable grazing and fuel wood collection","Ethiopia",null,"contingent valuation","site-specific","General public",600,"80.52 ETB (mean WTP for community forest plantation for sustainable grazing and fuel wood collection)","ETB",null,"ETB",null,null,"Forest density (i.e. per hectare biomass per capita), livestock units (animal holdings)  ","Other respondents' variables controlled for: gender of respondent, age, household size, education, total expenditure on non-food items per year, wealth indicator (i.e. corrugated house), land holding, rate of time preference","Temporal span of WTP question not specified (suspect it is a one-off payment)"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B104='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C104='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K104='Detailed Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Food (agriculture and subsistence) ","Masiero, M., Davide M. Pettenella, Laura Secco (2016). From failure to value: economic valuation for a selected set of products and services from Mediterranean forests. Forest Systems 25(1): 16 pages",2016,"Value of non timber products (nuts, cork, animals,  etc)","-","Mediterranean region","market prices","multi-country","Governments or industry",null,"11.96 euros","euro/ha",null,"euros",2010]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B105='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C105='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K105='Detailed Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Food - commercial","Häyhä, T., Franzese, P., Paletto, A., Fath, B.D. (2015). Assessing, valuing, and mapping ecosystem services in Alpine forests. Ecosystem Services 14: 12-23.",2015,"Hunted animals (game), berries, mushrooms","Italy","Trentino","market value","regional",null,"n.a. ","value of game per ha per year: 5\nvalue of mushroom per ha per year: 14\nvalue of berries per ha per year: 2","euro/ha/yr","per year","euro",2010,null,null,null,"This paper looked at different ecosystem services and provided a single value for each of them, so information was reported on the economic value of each of them separately. "]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B106='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C106='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K106='Detailed Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Food - subsistence","Felardo, J., Lippitt, C.D. (2016). Spatial forest valuation: The role of location in determining attitudes toward payment for ecosystem services policies. Forest Policy and Economics 62: 158-167.",2016,"Non-timber products  (i.e. mushrooms, herbs, larvae, etc.)","Thailand",null,"secondary valuation literature",null,"General public",492,"0.01 6 -.96 (over 136,524 plots, where each plot is 30 x 30m)","bhat/year","per year","bhat",2012,"n.a. "]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B107='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C107='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K107='Detailed Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Food - subsistence","Rai, R.K., Scarborough, H. (2015). Nonmarket valuation in developing countries: incorporating labour contributions in environmental benefits estimates. Australian Journal of Agricultural and Resource Economics 59: 479-498",2015,"invasive species control (affecting residents' livelihoods)","Nepal","Chitwan National Park ","choice experiment","regional","General public","500 (176 belonging to the sub-sample where the cost attribute was expressed in terms of a monetary contribution and 324 belonging to the sub-sample where the cost attribute was expressed in terms of equivalent hours of labour) ","Subsample with monetary attribute:\n695.61 (WTP per one hour decrease in forest products collection time)\n0.23 (WTP per visitor to the community forest per year)\n64.5 (WTP per one unit increase in plant species richness)\nSubsample with labour attribute:\n1.41 (WTP per one hour decrease in forest products collection time)\n6.36E-4 (WTP per visitor to the community forest per year)\n0.16 (WTP per one unit increase in plant species richness)   \n","Subsample with monetary attribute:\n(Annual) WTP in NRs \nSubsample with labour attribute:\n(Annual) WTP in labour day","5-year period","Subsample with monetary attribute: NRs \nSubsample with labour attribute: labour day",null,"Subsample with monetary attribute:\n(Annual) WTP in NRs \nSubsample with labour attribute:\n(Annual) WTP in labour day",null,"Other respondents' variables controlled for: sex of respondent, age, household size, education","Values are classified as WTP (or willingness to contribute with labour days) to control invasive species which are negatively affecting local livelihood/economy of households. This emerges to be the main source of value for people, but other production functions may be involved as well."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B108='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C108='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K108='Detailed Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Housing services","Escobedo, F., Adams, D.A., Timilsina, N. (2015). Urban forest structure effects on property value. Ecosystem Services 12 (2015) 209–217",2015,"value of additional trees and the effect of urban tree structure on property price","US","urban","hedonic pricing","local","Urban populations","n.a. ","$1586 (home price premium associated to each additional tree close to the property)\n$9348 (home price premium associated to each extra unit increase in Leaf Area Index, an indicator used to measure the proportion of leaf area over ground area)","per home",null,"USD","2008-2009","property taxes assessed value data are considered to calculate the price premium effect"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B109='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C109='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K109='Detailed Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Mental health","Smith, D. M., Damschroder, S. Y. H., and Ubel, P. A., (2012) What's It Worth? Public Willingness to Pay to Avoid Mental Illnesses Compared With General Medical Illnesses, Psychiatric Services 2012 63:4, 319-324 ",2012,"Willingness to pay to avoid mental illness","US","National","Stated preference ","Individual","General public",710,76.900000000000006,"to avoid depression","per monthly  ","Dollars (US)",2006,"Out of pocket",null,"US","The payment vehicle may raise issues of credibility\nThe study is for the US and needs to be altered to transfer to UK populations\nDemographic characterstics were included in the survey and could be used to aid benefit transfer.\nDepression is broadly defined and appears open to interpretation by respondents."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B110='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C110='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K110='Detailed Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Non-use value","Bakhtiaria, F.,  Jacobsen, F.B., Thorsen, B.J., Lundhede, T.H., Strange,N., Boman, M. (2018). Disentangling Distance and Country Effects on the Value of Conservation across National Borders. Ecological Economics 147: 11-20",2018,"Number of abundant forest species in area","Denmark\nSweden","Funen and Zealand (Denmark)\nScania (Sweden)","choice experiment","regional","General public",1845,"WTP for an increase in the number of abundant forest species (from 1000 to 2000):\n400 - for residents in Zealand\n514 - for residents in Scania","per year","per year","DKK",2012,"income tax",null,null,"Value of species increase could be associated with use values (recreation), but also non-use values. We can't disentangle between these two."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B111='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C111='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K111='Detailed Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Non-use value","Bartczak, A. (2015). The role of social and environmental attitudes in non-market valuation. An application to the Białowieża Forest. Forest Policy and Economics 50 (2015) 357–365",2015,"Forest naturalness","Poland","local (Białowieża Forest)","choice experiment","local","General public",741,"20.39 (WTP to achieve high levels of naturalness in commercial forests)\n24.81 (WTP to achieve high levels of naturalness in second-growth forests)","per household per year","per year","zł",2011,"annual tax","Highly natural forest, where naturalness has suffered from pressures due to commercial timber logging, timber plantation and recreationists.","Additionally, environmental attitudes of respondents and altruism effects have been controlled for","It is possible that use values are also associated with the values recorded here. Not possible to disentangle between them though. "]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B112='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C112='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K112='Detailed Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Non-use value","Czajkowski, M., Wiktor Budzinski, Danny Campbell,  Marek Giergiczny, Nick Hanley (2017). Spatial Heterogeneity of Willingness to Pay for Forest Management. Environ Resource Econ (2017) 68:705–727",2017,"Forest passive protection","Poland","national","choice experiment","national","General public",1001,"13.54 (WTP to achieve passive protection of most valuable\nforests—substantial improvement)","per year","per year","PLN",2010,"annual tax",null,null,"Value components might include use and non-use values, which can't be disentangled in this study "]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B113='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C113='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K113='Detailed Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Non-use value","Garrod, G. D. and K. G. Willis (1997). \"The non-use benefits of enhancing forest biodiversity: A contingent ranking study.\" Ecological Economics 21(1): 45-61.",1997,"general public's willingness to pay to increase the area of these forests managed under each of three forest management standards designed to offer increasing levels of biodiversity at the expense of commercial timber production.","UK","remote forests in the FC estate","discrete-choice contingent ranking approach","300000ha of remote forest","General public","648 individuals","0.303 - 0.334\n0.517 - 0.564\n0.185 - 0.207","per household (basic standard of biodiversity conservation)\nper household (desired standard of biodiversity conservation)\nper household (conversion to native woodland)","per year\nper year\nper year","pounds\npounds\npounds","1995\n1995\n1995","tax increases","type of forest; forest management scheme; biodiversity","1. 'do nothing', and maximise timber production\n2. a 'basic' standard of biodiversity conservation\n3. the 'desired' standard of biodiversity conservation\n4. conversion to native woodland [Standard C]"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B114='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C114='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K114='Detailed Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Non-use value production","Pechanec, V., Machar, I., Sterbova, L., Prokopova, M., Kilianova, H., Chobot, K., Cudlin, P. (2017). Monetary Valuation of Natural Forest Habitats in Protected Areas. Forests, 8, 427",2017,"natural forests within protected areas","Czech Republic",null,"actual spent budget investments on forest restoration","national ",null,"136 realised projects within the Program for the Restoration of River Systems in the Czech Republic.","76,000,000,000 (for the conservation of the SAC network of protected areas, which accounts for a total of 2922.89 km2 of natural forest habitat)","EUR/year","per year","EUR",2015,null,null,null,"The paper is based on actual spendings on forest restoration and looks at different habitats which display particular value in terms of naturalness. These habitats display particular importance in terms of ecological quality (matureness, naturalness, diversity of plant species and animal species), as well as other four characteristics, expressing the degree of rarity or threat to the habitat (rareness of biotope, rareness of species, vulnerability, threat to existence)."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B115='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C115='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K115='Detailed Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Non-use value production","Rambonilaza,T., Brahic, E. (2016). Non-market values of forest biodiversity and the impact of informing the general public: Insights from generalized multinomial logit estimations. Environmental Science & Policy 64: 93-100 ",2016,"forest biodiversity attributes (deadwood, forest stand and age, presence of trees with high ecological value)","France",null,"Choice Experiment","national","General public","747 (sub-sample not exposed to extra information)\n785 (sub-sample exposed to extra information)","Values for selected forest improvements, depending on sub-sample (informed vs. un-informed individuals):\n11.11 - 11.79 (stand structure - increasing age distribution from one heighr to two height or from two height to mixed height) \n18.34 - 18.38 (increase tree species diversity - from low to higher number of tree species)\n2.17 - 7.11 (increase the volume of fallen deadwood - from no to little deadwood or from little to important quantity of deadwood)\n15.06 - 15.40 (Presence of trees of high ecological values - from no to low density old-growth trees or from low to high density old-growth trees)","EUR/household/year","per year","EUR",2012,"annual financial contribution per household to promote biodiversity- based forest management",null,"Characteristics of the respondent controlled for: familiarity with the biodiversity concept, awareness and consciousness of issues at stake, as well as their experiences of forest recreation","The paper focuses on comparing the effect of providing (versus not providing) respondents with information about the importance and role of biodiversity and the effect of this on the valuation on biodiversity attributes."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B116='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C116='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K116='Detailed Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Non-use value","Willis, K. G. and G. D. Garrod (1998). \"Biodiversity values for alternative management regimes in remote UK coniferous forests: an iterative bidding polychotomous choice approach.\" Environmentalist 18(3): 157-166.",1998,"Di\u0080fferent management options to improve levels of biodiversity in 300,000ha of remote coniferous forest.","UK","National","Contingent valuation","National","General public",1097,"28.64\n21.41\n27.04","Three different management options.\nall per household","per year","GBP",1998,"Taxes","Only Coniferous forests considered.","Valuation was on remote forests that subjects were unlikely to visit"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B117='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C117='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K117='Detailed Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Non-use value","Lindhjem, H., et al. (2015). \"The social benefits and costs of preserving forest biodiversity and ecosystem services.\" Journal of Environmental Economics and Policy 4(2): 202-222.",2015,"Three conservation plans to move from the current level of forest resevres, 1.4%, to either 2.8%, 4.5% or 10%.","Norway","National","Contingent Valuation","National","General public",2881,"\n693-1039\n796 - 1248\n872 - 1300","per household\n2.8% plan\n4.5% plan\n10% plan","per year","Kroner (Norway)",2007,"Taxes","Increases in improved living conditions for a number of species groups.","Exact locations of new reserves not known."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B118='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C118='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K118='Detailed Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Non-use value","Macmillan, D. C. and E. I. Duff (1998). \"Estimating the non-market costs and benefits of native woodland restoration using the contingent valuation method.\" Forestry 71(3): 247-259.",1998,"Restoration of two native pine forests","Scotland","Affric and Strathspey","Contingent Valuation","Regional","General public",643,"5 - 51\n53 - 69\n67 - 109","per household\nAffric\nStrathspey\nBoth","per year","GBP",null,"Taxes","Habitat for other flora, fauna and fungi","Remote locations"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B119='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C119='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K119='Detailed Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Non-use value","Christie, M., et al. (2006). \"Valuing the diversity of biodiversity.\" Ecological Economics 58(2): 304-317.",2006,"changes in biodiversity on UK farmland","UK","Cambridgeshire and Northumberland","Choice experiment valuing biodiversity attributes (familiar species of wildlife, rare unfamiliar species of wildlife, habitats, ecosystems)\nContingent Valuation of 3 biodiversity enhancing policies (agri-environment scheme, habitat re-creation & protection of biodiversity loss associated with a housing development)","regional","General public","343 survey respondents in Cambridgehire; 398 survey respndents in Northumberland","47.38 - 70.36\n34.67 - 50.27","per household","per year","pounds",2005,"annual increa in taxation over the next 5 years","Choice Experiment: (familiar species of wildlife, rare unfamiliar species of wildlife, habitats, ecosystems)\n\nContingent Valuation study: public willingness to pay for biodiversity enhancements\nof species, species rarity, habitat, and ecosystem processes"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B120='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C120='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K120='Detailed Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Non-use value production","Oviedo, J.L., Alejandro Caparrós (2015). Information and visual attention in contingent valuation and choice modeling: field and eye-tracking experiments applied to reforestations in Spain. Journal of Forest Economics 21: 185-204.",2015,"stone pine reforestation","Spain","south-west of Spain","contingent valuation and choice modelling","regional","General public","556 (CV)\n1036 (CE)","Contingent valuation results (mean):\n39.20 (WTP for 40ha of shrub removal)\n33.92 (WTP for 40ha of eucaliptus removal) \n37.13 (WTP for 80ha of shrub removal)\n31.84 (WTP for 80ha of eucalyptus removal)\nChoice experiment results (mean):\n31.65 (WTP for 40ha of shrub removal)\n38.15 (WTP for 40ha of eucaliptus removal)\n37.39 (WTP for 80ha of shrub removal)\n43.89 (WTP for 80ha of eucalyptus removal)","€/person",null,"euros","2010-11","one-time increase in taxes",null,null,"This study is classified as providing benefits to people primarily through non-use value motives, but it is acknowledged that the ecological improvements proposed could also provide recreational benefits. The extent to which these are captured in the WTP presented in this study is not known.  "]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B121='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C121='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K121='Detailed Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Non-use value production","Ojea, E., Loureiro, M.L., Allo' M., Barrio, M. (2016). Ecosystem Services and REDD: Estimating the Benefits of Non-Carbon Services in Worldwide Forests. World Development 78: 246–261",2016,"biodiversity conservation",null,null,"meta-analysis","global",null,"205 observations",1279,"US$/ha/year","per ha/year","US$",2008,null,null,null,"The paper reviews various services provided by forests: water and air regulation (not classified because it does not allow to clearly identify the final good as well as the production function), water supply (direct use of water quantity, including water for agriculture or human consumption or for hydroelectric power), damage mitigation (control against floods, erosion, fires, also not classified because it could fall under a mix of final ecosystem services and production functions), climate regulation (climate mitigation, carbon sequestration in soil and trees), food and fiber and wildlife diversity. "]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B122='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C122='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K122='Detailed Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Non-use value production","Valasiuk, S., Mikołaj Czajkowski, Marek Giergiczny, Tomasz Zylicz, Knut Veisten, Marine Elbakidze, Per Angelstam (2017). Are bilateral conservation policies for the Białowieza forest\nunattainable? Analysis of stated preferences of Polish and Belarusian public. Journal of Forest Economics 27: 70-79",2017,"Natural forests","Poland/Belarus","Bialowieza","choice experiment","transboundary","General public","1000 Belarusian sample\n1001 Polish sample","Polish sample:\n9.27 (WTP for increasing passive protection of the Bialowieza forest by 35km2)\n12.64 (WTP for increasing passive protection of the Bialowieza forest by 70km2)\n14.5 (WTP for increasing passive protection of the Bialowieza forest by 105km2)\nBelarusian sample:\n10.76 (WTP for increasing passive protection of the Bialowieza forest by 35km2)\n22.02 (WTP for increasing passive protection of the Bialowieza forest by 70km2)\n0 (WTP for increasing passive protection of the Bialowieza forest by 105km2)","euro 2015 PPP/annual/person","2015-16","euro 2015 PPP",2015,"Annual increase in tax for the following 5 years",null,"Other variables controlled for in the study are: visitation to the Polish and Belarusian part of Bialowieza forest, gender of respondent.","The reported values for this study are likely including a mix of non-use and use values, which unfortunately cannot be disentangled."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B123='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C123='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K123='Detailed Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Non-use value production","VALASIUK, S., MIKOŁAJ CZAJKOWSKI,\nMAREK GIERGICZNY, TOMASZ ŻYLICZ,\nKNUT VEISTEN, ASKILL HARKJERR HALSE,\nIRATXE LANDA MATA, MARINE ELBA KIDZE,\nPER ANGELSTAM (2017). IS FOREST LANDSCAPE RESTORATION SOCIALLY DESIRABLE? A DISCRETE CHOICE  EXPERIMENT APPLIED TO THE SCANDINAVIAN TRANSBOUNDARY FULUFJÄLLET NATIONAL PARK AREA. Working Paper\nNo. 10/2017 (239), University of Warsaw",2017,"Natural forests","Sweden/Norway","Fulufjället National Park Area","choice experiment","transboundary","General public","889 Sweden sample\n902 Norwegian sample","Swedesh sample:\n2.67 (WTP for increasing passive protection of the Fulufjället forest (Norwegian portion) by 20km2)\n3.39 (WTP for increasing passive protection of the Fulufjället forest (Norwegian portion) by 40km2)\n2.75 (WTP for increasing passive protection of the Fulufjället forest (Norwegian portion) by 60km2)\n12.41 (WTP for increasing passive protection of the Fulufjället forest (Swedish portion) by 20km2)\n15.87 (WTP for increasing passive protection of the Fulufjället forest (Swedish portion) by 40km2)\n16.40 (WTP for increasing passive protection of the Fulufjället forest (Swedish portion) by 60km2)\nNorwegian sample:\n13.48 (WTP for increasing passive protection of the Fulufjället forest (Norwegian portion) by 20km2)\n20.26 (WTP for increasing passive protection of the Fulufjället forest (Norwegian portion) by 40km2)\n2.75 (WTP for increasing passive protection of the Fulufjället forest (Norwegian portion) by 60km2)\n4.47 (WTP for increasing passive protection of the Fulufjället forest (Swedish portion) by 20km2)\n6.62 (WTP for increasing passive protection of the Fulufjället forest (Swedish portion) by 40km2)\n5.91 (WTP for increasing passive protection of the Fulufjället forest (Swedish portion) by 60km2)","euro 2015 PPP/annual/person","2015-16","euro 2015 PPP",2015,"Annual increase in tax for the following 5 years",null,"Other variables controlled for in the study are: visitation to the Polish and Belarusian part of Bialowieza forest, gender of respondent.","The reported values for this study are likely including a mix of non-use and recreational use values, which unfortunately cannot be disentangled."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B124='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C124='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K124='Detailed Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Non-use value production","Varela, E., Jette Bredahl Jacobsen, Robert Mavsar (2017). Social demand for multiple beneﬁts provided by Aleppo pine forest management in Catalonia, Spain. Reg Environ Change 17:539-550",2017,"Aleppo pine forest values (biodiversity)","Spain","Catalonia","choice experiment","regional","General public",410,"7.14  (WTP for each extra tree species) ","euro/ year/person","yearly","euro",2011,"Annual increase in regional tax",null,null,"Value of biodiversity increase"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B125='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C125='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K125='Detailed Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Pharmaceuticals","Amiri, N., Emadian, S.F., Fallah, A., Adeli, K., and Amirnejad, H. (2015. Estimation of conservation value of myrtle (Myrtus communis) using a contingent valuation method: a case study in a Dooreh forest area, Lorestan Province, Iran. Forest Ecosystems (2015) 2:30",2015,"Preservation of the myrtle, which is used as a medicinal plant and is also of value because it helps sustaining habitats in remote areas","Iran","Lorestan Province","Contingent valuation","city","General public",270,"26,820 (average WTP for conservation of myrtle stands in Dooreh)","per household","per month","Rials","n.a.","n.a.",null,"Variables controlled for: respondents' education, household size and monthly income. ","The CV refers to a bundle of goods and services and the study does not allow to disentangle by value component. Apart from benefits to local economy (through pharmaceuticals) and benefits related to sustaining wider habitats, it is also likely that non-use values are considered by respondents "]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B126='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C126='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K126='Detailed Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Physical health","Krupnick et al., (2002) \"Age, Health and the Willingness to Pay for\nMortality Risk Reductions: A Contingent Valuation\nSurvey of Ontario Residents\" The Journal of Risk and Uncertainty, 24:2; 161–186",2002,"Willingness to pay for reductions in mortality ","Canada","Ontario","Contingent valuation","Individual","General public",null,"C$l.2 to C$3.8 million ","mean wtp value of statistical life","one off payment","Dollars (Canadian)",1999,"out of pocket payment for an environmental program ",null,null,"willingness to pay is affected by mental health status and roughly 30 percent lower for people over 70"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B127='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C127='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K127='Detailed Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Plant health","Areal, F. J. and Mcloed, A. (2007) \"Estimating the economic value of trees at risk from a quarantine disease\" New approaches to the economics of plant health, volume 200, Wageningen UR Frontis Series",2007,"A diseases prevention plan to protect trees susceptible to sudden oak death ","UK","North Yorkshire","Contingent valuation","England","General public",63,55,"for the whole scheme","per year","pounds",2006,"Taxes","Digitally manipulated images were presented showing views of the English countryside with dead and dying trees, supposed to be infected with P. ramorum. Although susceptibility to infection may not be a good indicator of potential tree mortality due to P. ramorum, we assumed that P. ramorum could kill the ‘more susceptible’ hosts and that infected or dead trees and susceptible trees close by were felled and removed from woodlands to control the spread of the disease.","English ","A double bounded CV method was used."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B128='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C128='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K128='Detailed Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Plant health","Meldrum, J.R. (2015). Comparing different attitude statements in latent class models of stated preferences for managing an invasive forest pathogen. Ecological Economics 120: 13-22.",2015,"management of invasive, non-native pathogens causing lethal diseases in forests","US","western US","contingent valuation","regional","General public",null,241.26,"$ per household","one-off payment","$",2010,"one-time payment for a program to enhance plant health","Variables controlled for: quantity of acres with no pathogens (30%, 50% or 70%)","Other variables controlled for in the exercise include respondents' general and specific environmental attitudes and income","The value possibly includes a mix of use and non-use values, which unfortunately can not be disentangled in the study. Most likely the main component is non-use"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B129='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C129='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K129='Detailed Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Plant health","Sheremet, O., John R. Healey, Christopher P. Quine and Nick Hanley (2017). Public Preferences and Willingness to Pay for Forest Disease Control in the UK. Journal of Agricultural Economics 68(3), 781-800",2017,"control measures against invasive tree species ","UK","-","choice experiment","national","General public",605,"0£ (WTP for targeting invasive species in large woods with respect to individual trees)\n0£ (WTP for targeting invasive species in small woods with respect to individual trees)\n0£ (WTP for targeting invasive species in hedgerows with respect to individual trees)\n-7.3£ (WTP for adopting clear felling with respect to a combination of techniques to control for invasive species)\n0£ (WTP for adopting thinning with respect to a combination of techniques to control for invasive species)\n-6.2£ (WTP for adopting chemical/biocide with respect to a combination of techniques to control for invasive species)\n0£ (additional WTP if timber production versus carbon storage are especially badly affected by the disease)\n0£ (additional WTP if recreation versus carbon storage are especially badly affected by the disease)\n6.5£ (additional WTP if wildlife biodiversity versus carbon storage are especially badly affected by the disease)\n0£ (additional WTP if landscape views versus carbon storage are especially badly affected by the disease)\n","£/household/year","annual","£",null,"Annual tax for households","Other characeristics of the good controlled for (but not reported in the value column) is the type of forest ownership.","Additional variables controlled for in the model: income, level of knowledge and understanding about invasive species (and their effects), frequency of forest visitation","Generally, the values are classified as plant health values. Though, because plant health is likely to affect several production functions (recreation, non-use values, timber production, etc.), we report 'WTP value premiums' associated to the fact that invasive species can be particularly bad for some activities rather than others. "]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B130='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C130='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K130='Detailed Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Recreation","Abdullah, M., Mamat, M.P., Yaacob,  M.P.,  Radam, A., Fui, L.H. (2015). Estimate the conservation value of biodiversity in national heritage site: A case of Forest Research Institute Malaysia. Procedia Environmental Sciences 30 ( 2015 ) 180 – 185",2015,"biodiversity conservation","Malaysia","Forest Research Institute Malaysia","Contingent valuation","national ","General public",410,"55.86 - 62.25 (median WTP)","WTP in RM","per year","RM",2014,"conservation fee",null,"Forest Research Institute Malaysia (FRIM) offers a variety of forest ecosystem services such as biodiversity conservation, recreation, ecotourism and nature-environmental education","No details on the valuation scenario presented to respondents, but in the introduction it is mentioned that biodiversity conservation provides benefits for recreation and education (probably also non-use values are relevant in this context, but they were not explicitly mentioned)  "]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B131='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C131='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K131='Detailed Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Recreation","Bartczak, A. (2015). The role of social and environmental attitudes in non-market valuation\nAn application to the Białowieża Forest. Forest Policy and Economics 50 (2015) 357–365",2015,"restriction on number of visitors","Poland","local (Białowieża Forest)","choice experiment","local","General public",741,"\n -23.10 (WTP to restrict number of visitors to up to 7500 per day)\n -10.19 (WTP to restrict the number of visitors to up to 5000 per day)","per household per year","per year","zł",2011,"annual tax","Highly natural forest, where naturalness has suffered from pressures due to commercial timber logging, timber plantation and recreationists.","Additionally, environmental attitudes of respondents and altruism effects have been controlled for"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B132='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C132='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K132='Detailed Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Recreation","Butler, J. R. A., et al. (2009). \"Evaluating an ecosystem service provided by Atlantic salmon, sea trout and other fish species in the River Spey, Scotland: The economic impact of recreational rod fisheries.\" Fisheries Research 96(2-3): 259-266.",2009,"Recreational rod fishing","Scotland","River Spey Catchment","Anglers reported their daily expenditure, and the CogentSI model was used to derive multiplier effects.","River Catchment","General public","31 fishery owners & 372 anglers",12600000,"total value of fisheries contribution to household incomes","per year","pounds","1998-2002",null,"Length of river, fish species","angler effort (days); angler characteristics (age, income, etc); angler expenditure (by fish species)","also noted that fisheries contributed an estimated 420 full time equivalent jobs in the catchment"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B133='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C133='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K133='Detailed Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Recreation","Christie, M., et al. (2006). \"Valuing the diversity of biodiversity.\" Ecological Economics 58(2): 304-317.",2006,"Changes in biodiversity on UK farmland","UK","Cambridgeshire and Northumberland","Choice experiment valuing biodiversity attributes (familiar species of wildlife, rare unfamiliar species of wildlife, habitats, ecosystems)\nContingent Valuation of 3 biodiversity enhancing policies (agri-environment scheme, habitat re-creation & protection of biodiversity loss associated with a housing development)","regional","General public","343 survey respondents in Cambridgehire; 398 survey respndents in Northumberland","47.38 - 70.36\n34.67 - 50.27","per household","per year","pounds",2005,"Taxes: Annual increase in taxation over the next 5 years","Choice Experiment: (familiar species of wildlife, rare unfamiliar species of wildlife, habitats, ecosystems)\n\nContingent Valuation study: public willingness to pay for biodiversity enhancements\nof species, species rarity, habitat, and ecosystem processes"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B134='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C134='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K134='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Recreation","Czajkowski, M., Wiktor Budzinski, Danny Campbell,  Marek Giergiczny, Nick Hanley (2017). Spatial Heterogeneity ofWillingness to Pay for Forest Management. Environ Resource Econ (2017) 68:705–727",2017,"Tourist infrastructire in forests","Poland","national","choice experiment","national","General public",1001,"17. 69 (WTP to substantially reduce the amount of litter)\n8.63 (WTP to substantially increase the tourist infrastructure)","per year","per year","EUR",2010,"annual tax"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B135='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C135='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K135='Detailed Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Recreation","Elberg Nielsen, A.S., Thomas Hedemark Lundhede, Jette Bredahl Jacobsen (2016). Local consequences of national policie - A spatial analysis of preferences for forest access reduction. Forest Policy and Economics 73: 68–77",2016,"Preferences for species and access","Denmark","national","choice experiment","national","General public",475,"n.a. for species (WTP for threathened species and general wildlife)\n68 - 574 (WTP to improve access to forest roads and paths)","per household per year","per year","DKK",2005,"annual tax",null,null,"Values are provided only for access to forest roads and paths but not for an increase in the population of threatened species or increase in population size of general wildlife species habitat"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B136='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C136='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K136='Detailed Search'!$B$6,1,0)))","v":1},"Environment","Recreation","Giergiczny, M., Czajkowski, M., Żylicz, T., Angelstam, P. (2015). Choice experiment assessment of public preferences for forest structural attributes. Ecological Economics 119: 8-23.",2015,"Forest characteristics","Poland","national","choice experiment","national","Recreational users",1000,"13.28 (WTT to move from coniferous to a mixed forest type with 2 species)\n18.25 (WTT to move from coniferous to a mixed forest type with 5 species)\n−10.96 (WTT to move from coniferous to a mixed forest type with 1 broadleaved species)\n4.42 (WTT to move from coniferous to a mixed forest type with 4 broadleaved species)\n11.33 (WTT for moving from stand age 40 to 70)\n22.36 (WTT for moving from stand age 40 to 100)\n3.63 (WTT for moving from even-aged to two aged forest)\n10.41 (WTT for moving from even-aged to uneven aged forest)\n4.82 (WTT for moving from no ground vegetation height to medium)\n−9.77 (WTT for moving from no ground vegetation height to high)\n3.44 (WTT for moving from regular tree spacing to quasi-regular)\n7.53 (WTT for moving from regular tree spacing to irregular)\n6.89 (WTT for moving from regular forest edges to irregular)\n0.57 (WTT for moving from regular forest edges to irregular and with ecotone)\n4.07 (WTT for moving from low to medium deadwood)\n−7.88 (WTT for moving from low to high deadwood)\n6.69 (WTT for moving from the same forest type and stand age to the same forest type but different stand age)\n18.36 (WTT for moving from the same forest type and stand age to different forest type and stand age)\n−0.62 (WTT for moving from none to medium residue from harvesting and thinning)\n−27.88 (WTT for moving from none to high residue from harvesting and thinning)\n3.88 (WTT for moving from no understory to medium)\n−8.56 (WTT for moving from no understory to high)\n−13.49 (WTT for moving from no silviculture to shelterwood)\n−29.05 (WTT for moving from no silviculture to seedtrees)\n−50.42 (WTT for moving from no silviculture to clearcutting)\n26.18 (WTT for moving from no tourist infrastructure to Picnic)\n34.68 (WTT for moving from no tourist infrastructure to having picnic sites and interpretative walking trails)","willingness to travel (WTT): the additional kilometers\n(one-way distance) that respondents would be willing to travel, on\naverage, to visit a forest with a given attribute level",2013,"km",2013,"distance travelled","Forest characteristics are the attributed of the choice experiment","Other variables controlled for: gender, education, age, visits, town, city, mushroom/berry picking activities, nature","Not possible to distinguish between the value component linked to views and the one linked to biodiversity. Likely presence of non-use values as well "]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B137='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C137='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K137='Detailed Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Recreation","Häyhä, T., Franzese, P., Paletto, A., Fath, B.D. (2015). Assessing, valuing, and mapping ecosystem services in Alpine forests. Ecosystem Services 14: 12-23.",2015,"recreation linked to hunting and mushroom picking","Italy","Trentino","price of hunting and mushroom picking permits","regional",null,"n.a. ","value of recreational hunting per ha per year:10\nvalue of recreational mushrooming: 6","euro/ha/yr","per year","euro","n.a.",null,null,null,"This paper looked at different ecosystem services and provided a single value for each of them, so information was reported on the economic value of each of them separately. "]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B138='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C138='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K138='Detailed Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Recreation","Macmillan, D. C. and E. I. Duff (1998). \"Estimating the non-market costs and benefits of native woodland restoration using the contingent valuation method.\" Forestry 71(3): 247-259.",1998,"Restoration of two native pine forests","Scotland","Affric and Strathspey","Contingent Valuation","Regional","General public",643,"\n35 - 51\n53 - 69\n67 - 109","per household\nAffric\nStrathspey\nBoth","per year","GBP",null,"Taxes","Habitat for other flora, fauna and fungi","Remote locations"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B139='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C139='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K139='Detailed Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Recreation","Horne, P., et al. (2005). \"Multiple-use management of forest recreation sites: a spatially explicit choice experiment.\" Forest Ecology and Management 207(1-2): 189-199.",2005,"views & biodiversity at recreation sites near Helsinki","Finland","five outdoor recreation sites of Luukkaa, Pirttima¨ki, Vaakkoi, Salmi and Karjakaivo owned by the city of Helsinki.","Choice experiment","municipal","Recreational users","431 individuals",-10.36,"per household","per year","euros",2004,"municipal taxes","scenery, biodiversity indices, species richness, ","forest management practices, costs of managemnet, site  facilities like camping areas, pathways, ski tracks,\nparking lots, and service cabin","Hicksian compensating variation measure (Eq. (1)). For the sample as a whole, the resulting welfare change was a loss of EU 10.36. This negative welfare impact is due to the changes in management. Since the status quo is so strongly positive, any change in management would need to bring large benefits to compensate for the negative impact of moving away from the current situation. "]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B140='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C140='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K140='Detailed Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Recreation","Varela, E., Jette Bredahl Jacobsen, Robert Mavsar (2017). Social demand for multiple beneﬁts provided by Aleppo pine forest management in Catalonia, Spain. Reg Environ Change 17:539-550",2017,"Aleppo pine forest values (recreation)","Spain","Catalonia","choice experiment","regional","General public",410,"0.36  (WTP for an increase in the % of forest area suitable for recreation) ","euro/ year/person","yearly","euro",2011,"Annual increase in regional tax",null,null,"Value of recreational access increase"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B141='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C141='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K141='Detailed Search'!$B$6,1,0)))","v":1},"Flora_Fauna","Spiritual and cultural","Christie, M., et al. (2006). \"Valuing the diversity of biodiversity.\" Ecological Economics 58(2): 304-317.",2006,"changes in biodiversity on UK farmland","UK","Cambridgeshire and Northumberland","Choice experiment valuing biodiversity attributes (familiar species of wildlife, rare unfamiliar species of wildlife, habitats, ecosystems)\nContingent Valuation of 3 biodiversity enhancing policies (agri-environment scheme, habitat re-creation & protection of biodiversity loss associated with a housing development)","regional","General public","343 survey respondents in Cambridgehire; 398 survey respndents in Northumberland","47.38 - 70.36\n34.67 - 50.27","per household","per year","pounds",2005,"annual increase in taxation over the next 5 years","Choice Experiment: (familiar species of wildlife, rare unfamiliar species of wildlife, habitats, ecosystems)\n\nContingent Valuation study: public willingness to pay for biodiversity enhancements\nof species, species rarity, habitat, and ecosystem processes"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B142='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C142='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K142='Detailed Search'!$B$6,1,0)))","v":1},"Timber","Food - subsistence","Schaafsma, M., et al. (2012). \"Towards transferable functions for extraction of Non-timber Forest Products: A case study on charcoal production in Tanzania.\" Ecological Economics 80: 48-62.",2012,"Non-timber forest product - Charcoal","Tanzania","East Arc Mountains","Production function method","East Arc Mountains","Non-timber extractors","1100 observations from 45 villages",14000000,"Total value","per year","US Dollars",2010,"Market prices","Land-use and land cover","Varying prices of charcoal across the region.\nDistance from market."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B143='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C143='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K143='Detailed Search'!$B$6,1,0)))","v":1},"Timber","Food - subsistence","Schaafsma, M., et al. (2014). \"The importance of local forest benefits: Economic valuation of Non-Timber Forest Products in the Eastern Arc Mountains in Tanzania.\" Global Environmental Change-Human and Policy Dimensions 24: 295-305.",2014,"Non-timber forest product - Charcoal, firewood, poles and thatch","Tanzania","East Arc Mountains","Production function method","East Arc Mountains","Non-timber extractors","2000 observations from 60 villages",42000000,"Total value","per year","US Dollars",2010,"Market prices","Land-use and land cover","Varying prices of charcoal across the region.\nDistance from market."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B144='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C144='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K144='Detailed Search'!$B$6,1,0)))","v":1},"Timber","Housing services","Soares, A. L., et al. (2011). \"Benefits and costs of street trees in Lisbon, Portugal.\" Urban Forestry & Urban Greening 10(2): 69-78.",2011,"$1 invested in tree management","Portugal","Lisbon","i-Tree","City","General public","3033 trees",144.69999999999999,"per tree","per year","Dollars (US)",2004,null,"Species, diameter, condition, pruning and management needs etc. \nTree growth data from the US reference cities was used but Lisbon data was used as input into the numerical models to calculate tree benefits.","Location"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B145='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C145='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K145='Detailed Search'!$B$6,1,0)))","v":1},"Timber","Industrial and commercial production with timber inputs","Forest Enterprise England (2016). Natural capital accounts 2015-16. ",2016,"Timber production","England","national","market value","national","Governments or industry",null,"7.335m","£/year","2015-16","£","2015-16"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B146='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C146='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K146='Detailed Search'!$B$6,1,0)))","v":1},"Timber","Industrial and commercial production with timber inputs","Häyhä, T., Franzese, P., Paletto, A., Fath, B.D. (2015). Assessing, valuing, and mapping ecosystem services in Alpine forests. Ecosystem Services 14: 12-23.",2015,"timber, wood chips, firewood","Italy","Trentino","market value","regional",null,"n.a. ","value of timber per ha per yeat: 218\nvalue of wood chips per ha per year: 4\nvalue of firewood per ha per year: 9","euro/ha/yr","per year","euro",2010,null,null,null,"This paper looked at different ecosystem services and provided a single value for each of them, so information was reported on the economic value of each of them separately. "]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B147='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C147='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K147='Detailed Search'!$B$6,1,0)))","v":1},"Timber","Industrial and commercial production with timber inputs","Holt, A. and Rouquette, J. (2017). The quantification and valuation of the environmental, social and economic impacts of the Forest of Marston Vale. Report prepared for:\nThe Forest of Marston Vale, March 2017",2017,null,"England","Marston Vale","market prices","local","Governments or industry",null,"£18.36 (average value of timber/m3)","£/m3",2015,"£",2015]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B148='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C148='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K148='Detailed Search'!$B$6,1,0)))","v":1},"Timber","Industrial and commercial production with timber inputs","Masiero, M., Davide M. Pettenella, Laura Secco (2016). From failure to value: economic valuation for a selected set of products and services from Mediterranean forests. Forest Systems 25(1): 16 pages",2016,"Value of roundwood in the Mediterranean","-","Mediterranean region","market prices","multi-country","Governments or industry",null,"136.28 euros","euro/ha",null,"euros",2010]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B149='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C149='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K149='Detailed Search'!$B$6,1,0)))","v":1},"Soil","Industrial and commercial","Forest Enterprise England (2016). Natural capital accounts 2015-16. ",2016,"Mineral sales value","England","national","market value","national","Governments or industry",null,"0.594m","£/year","2015-16","£","2015-16"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B150='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C150='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K150='Detailed Search'!$B$6,1,0)))","v":1},"Soil",null,"Häyhä, T., Franzese, P., Paletto, A., Fath, B.D. (2015). Assessing, valuing, and mapping ecosystem services in Alpine forests. Ecosystem Services 14: 12-23.",2015,"hydrogeological protection","Italy","Trentino","replacement cost","regional",null,"n.a. ","value of hydrogeological protection per ha per year: 328","euro/ha/yr","per year","euro",2011,null,null,null,"This paper looked at different ecosystem services and provided a single value for each of them, so information was reported on the economic value of each of them separately. "]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B151='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C151='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K151='Detailed Search'!$B$6,1,0)))","v":1},"Views","Housing","Garrod, G., et al. (2009). \"Assessing the value of forest landscapes: A choice experiment approach.\" Arboricultural Journal 32(3): 189-211.",2009,"Visual access to forest landscapes","GB","Aberystwyth, Chester, Loch Lomond, Exeter, Harlow, Penrith & Keswick","Choice Experiment","landscape","General public","stratified sample of 416 households",226.56,"per household","per year","pounds",2002,"annual cost of living","planting factors, landscape factors, 33 forest landscapes investigated","recreational access to the view; annual cost ofliving in the area; council tax; cost of travelling to wok; rent"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B152='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C152='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K152='Detailed Search'!$B$6,1,0)))","v":1},"Views","Housing services","Chen, T., Swallow, S., Johnston, R. (2015). Farm versus Forest: physical scarcity and the roel of non-convex preferences in the valuation of open-space. Paper presented at the 2015 Agricultural and  Applied Economics Association and Western Agricultural Economics Association Annual Meeting, San Francisco, CA, July 26-28 2015",2015,"Amount of forest area preserved","Rhode Island","Richmond,\nLittle Compton,\nMiddletown,\nPortsmouth","Choice Experiment","Town/City","General public","n.a. ","7.73 - 9.26 (value of each extra acre of forest preserves)","$/household/acre",null,"$",2015,"household tax",null,null,"No specification for the temporal scale of the payment, so it is not known if WTP is per year, per month, etc."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B153='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C153='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K153='Detailed Search'!$B$6,1,0)))","v":1},"Views","Housing services","Holt, A. and Rouquette, J. (2017). The quantification and valuation of the environmental, social and economic impacts of the Forest of Marston Vale. Report prepared for:\nThe Forest of Marston Vale, March 2017",2017,null,"England","Marston Vale","increase in house prices, willingness to pay (£) for tree view.","local","General population",null,"734 (WTP for a woodland view on the urban fringe)","annual/per household",2015,"£",2015]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B154='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C154='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K154='Detailed Search'!$B$6,1,0)))","v":1},"Views","Housing services","Tyrväinen, L. and A. Miettinen (2000). \"Property Prices and Urban Forest Amenities.\" Journal of Environmental Economics and Management 39(2): 205-223.",2000,"Relative increase in house price for those houses with a view of urban forest","Finland","Salo","Hedonic pricing method","Salo","Residential property owners",590,4.9000000000000002E-2,"Relative percentage increase in house price for those houses with a view of urban forest",null,"Finnish Markka",1983,"House prices","Type of forest (mixed, pine, coniferous), maturity of the forest.","Distance"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B155='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C155='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K155='Detailed Search'!$B$6,1,0)))","v":1},"Views","Mental health","Smith, D. M., Damschroder, S. Y. H., and Ubel, P. A., (20120)What's It Worth? Public Willingness to Pay to Avoid Mental Illnesses Compared With General Medical Illnesses, Psychiatric Services 2012 63:4, 319-324 ",2012,"Willingness to pay to avoid mental illness","US","National","Stated preference ","Individual","General public",710,76.900000000000006,"to avoid depression","per monthly  ","Dollars (US)",2006,"Out of pocket",null,"US","The payment vehicle may raise issues of credibility\nThe study is for the US and needs to be altered to transfer to UK populations\nDemographic characterstics were included in the survey and could be used to aid benefit transfer.\nDepression is broadly defined and appears open to interpretation by respondents."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B156='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C156='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K156='Detailed Search'!$B$6,1,0)))","v":1},"Views","Physical health","Krupnick et al., (2002) \"Age, Health and the Willingness to Pay for\nMortality Risk Reductions: A Contingent Valuation\nSurvey of Ontario Residents\" The Journal of Risk and Uncertainty, 24:2; 161–186",2002,"Willingness to pay for reductions in mortality ","Canada","Ontario","Contingent valuation","Individual","General public",null,"C$l.2 to C$3.8 million ","mean wtp value of statistical life","one off payment","Dollars (Canadian)",1999,"out of pocket payment for an environmental program ",null,null,"willingness to pay is affected by mental health status and roughly 30 percent lower for people over 70"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B157='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C157='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K157='Detailed Search'!$B$6,1,0)))","v":1},"Views","Recreation","Häyhä, T., Franzese, P., Paletto, A., Fath, B.D. (2015). Assessing, valuing, and mapping ecosystem services in Alpine forests. Ecosystem Services 14: 12-23.",2015,"recreational appreciation of landscale views","Italy","Trentino","benefit transfer","regional","Recreational users","n.a. ","value of recreation per ha per year: 77","euro/ha/yr","per year","euro",2002,null,null,null,"This paper looked at different ecosystem services and provided a single value for each of them, so information was reported on the economic value of each of them separately. "]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B158='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C158='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K158='Detailed Search'!$B$6,1,0)))","v":1},"Views","Recreation","Molina, J.R., Francisco Rodrıguez y Silva, Miguel Angel Herrera (2016). Integrating economic landscape valuation into Mediterranean territorial planning. Environmental Science and Policy 56: 120-128",2016,"value of landscape typologies","Spain","Andalusia","contingent valuation","regional","Recreational users",493,"8.87 - 25.84 (landscape quality 1)\n7.1 - 20.68 (Landscape quality 2)\n6.08 - 17.70 (Landscape quality 3)\n5.06 - 14.75 (Landscape quality 4)\n4.21 - 12.28 (Landscape quality 5)","euros/ha",null,"euros",null,"entrance fee ",null,null,"The WTP value likely also includes the benefits associated by non-timber products (mushrooms, chestnuts, etc.), in addition to views. But landscape scenery seems to be the main driver of value, even though no description is provided of each landscape class."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B159='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C159='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K159='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quality","Drinking water","Abildtrup, J., S. Garcia, and A. Stenger (2013): \"The Effect of Forest Land Use on the Cost of Drinking Water Supply: A Spatial Econometric Analysis,\" Ecological Economics, 92, 126-136.",2013,"Improvements in quality of raw water drinking supply from one hectare of forest","France","Vosges","Cost model with spatial autocorrelation and lagged dependent variables","Municipalities by Water Supply System","General public",232,98.93,"per household per ha","per year","euro",2008,"water prices","Average Water Supply System, average drinking water volume 104,676 m3, average WSS area 2165 ha. Does not differentiate by type of forest.","average water price of 1.08 euro per m3. Taxes and fees are excluded from the cost. Controls for proportion of forest, urban and other, area, density of users, altitude, water volume, number of municipalities served, altitude, type of intake and whether it is a privately owned operation. As well as spatial error components and lagged variables."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B160='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C160='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K160='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quality","Drinking water","Fiquepron, J., S. Garcia, and A. Stenger (2013): \"Land Use Impact on Water Quality: Valuing Forest Services in Terms of the Water Supply Sector,\" Journal of Environmental Management, 126, 113-121.",2013,"Impact of forest on quality of water (nitrates and treatment for pesticides)","France","National","Cost model (GMM with instruments)","National","General public","93 departments",22,"per household per ha","per year","euro",2004,"water bill","Water quality – averaged over four years to avoid climatic influences.Does not differentiate by type of forest.","Taxes and fees are excluded from the cost. Controls for proportion of forest, urban and other, area, density of users, water volume, underground water resources, resident to total population ratio, water quality measured by nitrate concentration and pesticides through the proportion of water requiring treatment."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B161='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C161='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K161='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quality","Drinking water","Hanley, N., R. E. Wright, and B. Alvarez-Farizo (2006): \"Estimating the Economic Value of Improvements in River Ecology Using Choice Experiments: An Application to the Water Framework Directive,\" Journal of Environmental Management, 78, 183-193.",2006,"three components of ecological status as defined by the Water Framework Directive (ecology – course fish, water plants, insects and birds, aesthetics – sewage and litter, river banks with trees)","UK","County Durham and Central Scotland","Choice experiment RP Logit analysis","River","General public",420," \n18.19 [2.75], \n15.68 [2.62],\n19.57 [2.83].","per household:\necology from fair to good using RP Logit\naesthetics fair to good\nbanksides fair to good","one off payment","pounds",2001,"water bill",null,"UK\nThe river location was an important factor for the value, values were not transferable between rivers (tested using a Wald test) for the ecology, aesthetics and banksides."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B162='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C162='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K162='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quality","Drinking water","Häyhä, T., Franzese, P., Paletto, A., Fath, B.D. (2015). Assessing, valuing, and mapping ecosystem services in Alpine forests. Ecosystem Services 14: 12-23.",2015,"freshwater","Italy","Trentino","market value","regional",null,"n.a. ","value of fresh water per ha per year: 75","euro/ha/yr","per year","euro","n.a.",null,null,null,"This paper looked at different ecosystem services and provided a single value for each of them, so information was reported on the economic value of each of them separately. "]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B163='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C163='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K163='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quality","Drinking water","Soares, A. L., et al. (2011). \"Benefits and costs of street trees in Lisbon, Portugal.\" Urban Forestry & Urban Greening 10(2): 69-78.",2011,"$1 invested in tree management","Portugal","Lisbon","i-Tree","City","General public","3033 trees","4.48\n0.33\n6.16\n204.45","per $1 invested in woodland\nper tree in CO2 savings\nper tree in energy savings\ntotal (for the woodland of 3033 trees)","per year","Dollars (US)",2004,null,"Species, diameter, condition, location, pruning and management needs etc. \nTree growth data from the US reference cities was used but Lisbon data was used as input into the numerical models to calculate tree benefits."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B164='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C164='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K164='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quality","Drinking water","Zapata, S. D., H. M. Benavides, C. E. Carpio, and D. B. Willis (2012): \"The Economic Value of Basin Protection to Improve the Quality and Reliability of Potable Water Supply: The Case of Loja, Ecuador,\" Water Policy, 14, 1-13.",2012,"Basin management plan involving purchasing land in micro-basins for reforestation, protection and management to improve water quality and quantity.","Ecuador","Loja","Contingent Valuation","Basin","General public",100,5.8,"per household for the plan","per month","Dollars (US)",2005,"Water bill","Basin management plan for individuals on the water supply system.  \nPurchase and management of land in micro basin, reforestation plan\n","Additional charge on water bill. Loja, Ecuador "]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B165='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C165='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K165='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quality","Drinking water","ADAS and Eftec (2014). The Feasibility of Valuing Woodlands’ Contribution to Regulating Water Quality and Quantity, Report to Forestry Commission, Edinburgh.",2014,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"No values provided.  This document discusses the feasibility of valuing the contribution of woodlands to water quality and quantity."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B166='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C166='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K166='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quality","Drinking water","Eftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.",2011,null,"GB"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B167='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C167='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K167='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quality","Drinking water","Europe Economics (2015): \"The Economic Benefits of Woodland,\" A report for the Woodland Trust, London, UK. https://www.woodlandtrust.org.uk/publications/2015/03/the-economic-benefits-of-woodland/",2015]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B168='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C168='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K168='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quality","Drinking water","Morris, J. and M. Camino (2011). \"Economic Assessment of Freshwater, Wetland and Floodplain (FWF) Ecosystem Services \" UK NEA Economics Analysis, Freshwaters.",2011,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"No values provided.  This document discusses the feasibility of valuing the contribution of woodlands to water quality and quantity."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B169='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C169='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K169='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quality","Drinking water","Willis, K. G. (2002): \"Social & Environmental Benefits of Forestry Phase 2: Benefits and Costs of Forests to Water Supply and Water Quality,\" Report to Forestry Commission, Edinburgh. http://www.forestry.gov.uk/pdf/water3.pdf/$FILE/water3.pdf",2002,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"No values provided.  This document discusses the feasibility of valuing the contribution of woodlands to water quality and quantity."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B170='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C170='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K170='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quality","Food - agriculture and fisheries","Butler, J. R. A., et al. (2009). \"Evaluating an ecosystem service provided by Atlantic salmon, sea trout and other fish species in the River Spey, Scotland: The economic impact of recreational rod fisheries.\" Fisheries Research 96(2-3): 259-266.",2009,"Recreational rod fishing","Scotland","River Spey Catchment","Anglers reported their daily expenditure, and the CogentSI model was used to derive multiplier effects.","River Catchment","General public","31 fishery owners & 372 anglers",12600000,"total value of fisheries contribution to household incomes","per year","pounds","1998-2002",null,"Length of river, fish species","angler effort (days); angler characteristics (age, income, etc); angler expenditure (by fish species)","also noted that fisheries contributed an estimated 420 full time equivalent jobs in the catchment"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B171='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C171='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K171='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quality","Housing services","Loomis, J., et al. (2000). \"Measuring the total economic value of restoring ecosystem services in an impaired river basin: results from a contingent valuation survey.\" Ecological Economics 33(1): 103-117.",2000,"Dilution of wastewater,\nNatural purification of water,\nErosion control,\nHabitat for fish and wildlife.","US","Near Denver Colorado ","Contingent Valuation","South Platte river basin","General public",96,21,"per household","per month","Dollars (US)",null,"Water bill","Conservation zone along a river with restoration of native vegetation.","Removal of grazing\nReduction in the water allocated for agriculture"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B172='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C172='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K172='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quality","Physical health","Krupnick et al., (2002) \"Age, Health and the Willingness to Pay for\nMortality Risk Reductions: A Contingent Valuation\nSurvey of Ontario Residents\" The Journal of Risk and Uncertainty, 24:2; 161–186",2002,"Willingness to pay for reductions in mortality ","Canada","Ontario","Contingent valuation","Individual","General public",null,"C$l.2 to C$3.8 million ","mean wtp value of statistical life","one off payment","Dollars (Canadian)",1999,"out of pocket payment for an environmental program ",null,null,"willingness to pay is affected by mental health status and roughly 30 percent lower for people over 70"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B173='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C173='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K173='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quality","Recreation","Metcalfe, P. J., et al. (2012), An assessment of the nonmarket benefits of the Water Framework Directive for households in England and Wales, Water Resour. Res., 48, W03526, doi:10.1029/2010WR009592.",2012,"Improvements in water quality measured in percentage changes from local and national high and low levels linked to WFD status","UK","National","Stated preference methods: CV and discrete choice experiment","Regional","General public","1487 respondents","2,263 - 39,168","per region","per km2","pounds",2007,"water bill","water quality level relartive to local and national high and low values","income, gender, nationality, children at home, pollution, environmental club membership, education","Values per household per year per km2 were estimated in the model and are reported in the paper.  For region specific values please refer to the paper. "]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B174='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C174='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K174='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quality","Recreation","Butler, J. R. A., et al. (2009). \"Evaluating an ecosystem service provided by Atlantic salmon, sea trout and other fish species in the River Spey, Scotland: The economic impact of recreational rod fisheries.\" Fisheries Research 96(2-3): 259-266.",2009,"Recreational rod fishing","Scotland","River Spey Catchment","Anglers reported their daily expenditure, and the CogentSI model was used to derive multiplier effects.","River Catchment","General public","31 fishery owners & 372 anglers",12600000,"total value of fisheries contribution to household incomes","per year","pounds","1998-2002",null,"Length of river, fish species","angler effort (days); angler characteristics (age, income, etc); angler expenditure (by fish species)","also noted that fisheries contributed an estimated 420 full time equivalent jobs in the catchment"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B175='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C175='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K175='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quality","Recreation","Kreye, M. M., Adams, D. C., & Escobedo, F. J. (2014). The Value of Forest Conservation for Water Quality Protection. Forests, 5(5), 862-884.",2014,"non-specific programs to protect water quality in lakes","US","Water body","Meta-analysis of wtp values: studies include open ended CV, payment card, dichotomous choice, iterative bidding, and attribute choice experiment","Lake","General public","43 studies","264.72–317.70","per household","per year","dollars (US)",2010,null,"River or lake, study year, survey method, region of US (binary for southern states), watershed and whether the protection was at a single site or multiple","type of conservation instrument (tool), aquatic resource type, geographic context, spatial scale, time, and household income"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B176='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C176='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K176='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quality","Recreation","Ferrini, S., Schaafsma, M., & Bateman, I. (2014). Revealed and stated preference valuation and transfer: A within‐sample comparison of water quality improvement values. Water Resources Research, 50(6), 4746-4759. ",2014,"improvement in quality of 5k river stretch from poor to good status","UK","Humber catchment","Stated preference: Contingent valuation using payment card and dichotomous choice\nRevealed preference: Travel cost method","5km river stretches","General public","1759 respondents\n84 river stretches\n26 sampling locations","mean: 10.02, CI: 3.47 - 19.33\nmean: 27.19, CI: 9.98 - 59.58\nmean: 20.16, CI: 0.00 - 91.54","per individual","per year","pounds",2008,"water bill\nwater bill\ntravel cost","river quality status based on water quality ladder (wfd based), 5 km river stretch","gender, age, income, household size, distances to river and substitutes","This paper provides a novel approach to valuation which allows the authors to compare the results of contingent valuation (payment card and dichotomous choice) and travel cost methods.  The paper also presents benefit transfer results using North and South regions in the study are and explores the relative transfer errors produced when using wtp values estimated using each method."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B177='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C177='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K177='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quality","Recreation","Green, C. H. and S. M. Tunstall (1991). \"The Evaluation of River Water-Quality Improvements by the Contingent Valuation Method.\" Applied Economics 23(7): 1135-1146.",1991,"river water quality to support recreation","UK","England & Wales","contingent valuation","river recreation site","Recreational users","386 visitors to river corridors","0.51\n0.60\n0.52"," per person ( water quality good enough for water birds)\nper person (water quality good enough to support many fish)\nper person (water quality good enough for children to play safely)","per month\nper month\nper month","pounds\npounds\npounds","1987\n1987\n1987","increase in water rates","foam, smell, debris, presence of (supposed) expert users, biota\n\nquality categories were developed: good enough for water birds; good enough to support many fish; good enough for children to play safely","average household water rates, socioeconomic data"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B178='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C178='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K178='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quality","Recreation","Johnstone, C. and A. Markandya (2006). \"Valuing river characteristics using combined site choice and participation travel cost models.\" Journal of Environmental Management 80(3): 237-247.",2006,"river water quality in English rivers","England","selected rivers","travel cost methods",null,"Recreational users","421 individuals","0.04 - 3.93","per visitor","per trip","pounds",2001,null,"chemical, biological, habitat-level attributes; type of river (lowland, upland, chalk), flow rates, nutrient pollution","travel cost data, age, income, employment, etc"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B179='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C179='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K179='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quantity","Artistic production","Willis, K. G., Garrod, G., Scarpa, R., Powe, N., Lovett, A., Bateman, I. J., ... & Macmillan, D. C. (2003). The social and environmental benefits of forests in Great Britain. Forestry Commission, Edinburgh.",2003,"water is lost to abstraction for potable uses",null,null,null,null,null,null,"0.13 - 1.24","per m3 of water lost to abstraction for potable uses","per m3","pounds",2001,null,"LRMC reported by OFWAT"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B180='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C180='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K180='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quantity","Drinking water","Zapata, S. D., H. M. Benavides, C. E. Carpio, and D. B. Willis (2012): \"The Economic Value of Basin Protection to Improve the Quality and Reliability of Potable Water Supply: The Case of Loja, Ecuador,\" Water Policy, 14, 1-13.",2012,"Basin management plan involving purchasing land in micro-basins for reforestation, protection and management to improve water quality and quantity.","Ecuador","Loja","Contingent Valuation","Basin","General public",100,5.8,"per household for the plan","per month","Dollars (US)",2005,"Water bill","Basin management plan for individuals on the water supply system.  \nPurchase and management of land in micro basin, reforestation plan\n","Additional charge on water bill. Loja, Ecuador "]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B181='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C181='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K181='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quantity","Drinking water","Núñez, D., Nahuelhual, L., & Oyarzún, C. (2006). Forests and water: The value of native temperate forests in supplying water for human consumption. Ecological Economics, 58(3), 606-616",2006,"supply of water for abstraction","Chile","Llancahue watershed","change in productivity method using market price of drinking water (averaged to 0.35 US dollars (2003)) per m3 multiplied by marginal change in productivity (including stream water and energy inputs)","Watershed","General public","107 observations",86.5,"per hectare ","per year","dollars (US)",2004,"market price of drinking water","quantity of water available for abstraction","season, market price of drinking water, stream water input, energy input","The reported average value is calculated by CSERGE (2015) from the summer value of USD 162.4 and rest of the year value of USD 61.2 per ha reported in Nunez et al., (2006). "]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B182='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C182='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K182='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quantity","Drinking water","ADAS and Eftec (2014). The Feasibility of Valuing Woodlands’ Contribution to Regulating Water Quality and Quantity, Report to Forestry Commission, Edinburgh.",2014,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"No values provided.  This document discusses the feasibility of valuing the contribution of woodlands to water quality and quantity."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B183='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C183='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K183='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quantity","Drinking water","Eftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.",2011]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B184='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C184='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K184='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quantity","Drinking water","Moran, D. and S. Dann (2008). \"The economic value of water use: Implications for implementing the Water Framework Directive in Scotland.\" Journal of Environmental Management 87(3): 484-496.",2008,null,"Scotland",null,"Review & Synthesis",null,null,null,null,null,null,null,null,null,null,null,"Not a primary valuation study - instead reports values from secondary data sources to derive economic values for water on a sector basis. "]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B185='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C185='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K185='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quantity","Drinking water","Willis, K. G., Garrod, G., Scarpa, R., Powe, N., Lovett, A., Bateman, I. J., ... & Macmillan, D. C. (2003). The social and environmental benefits of forests in Great Britain. Forestry Commission, Edinburgh.",2003,"water is lost to abstraction for potable uses",null,null,null,null,null,null,"0.13 - 1.24","per m3 of water lost to abstraction for potable uses","per m3","pounds",2001,null,"LRMC reported by OFWAT"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B186='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C186='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K186='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quantity","Flood alleviation","Holt, A. and Rouquette, J. (2017). The quantification and valuation of the environmental, social and economic impacts of the Forest of Marston Vale. Report prepared for:\nThe Forest of Marston Vale, March 2017",2017,null,"England","Marston Vale","Reduction in annual fluvial flood expenditure (£). Figures based on Ricardo Energy & Environment for the UK Office for National Statistics (Smithers et al. 2016)","local","General population",null,"24.3 (average reduction in annual fluvial flood expenditure per hectare of woodland) ","annual/ha",2015,"£",2015]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B187='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C187='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K187='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quantity","Flood alleviation","Soares, A. L., et al. (2011). \"Benefits and costs of street trees in Lisbon, Portugal.\" Urban Forestry & Urban Greening 10(2): 69-78.",2011,"$1 invested in tree management","Portugal","Lisbon","i-Tree","City","General public","3033 trees",47.85,"per tree","per year","Dollars (US)",2004,null,"Species, diameter, condition, pruning and management needs etc. \nTree growth data from the US reference cities was used but Lisbon data was used as input into the numerical models to calculate tree benefits.","Location"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B188='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C188='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K188='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quantity","Flood alleviation","Dixon, G. and Pettit, A. (2017). Flood management and woodland creation - Southwell Case Study. Hydraulic modelling and economic appraisal report. Report prepared for the Forestry Commission ",2017,"flood risk reduction linked to woodland creation","UK","Southwell (Nottinghamshire)","avoided costs","town","residential property owners",null,"£286/household/year (value of avoiding health and wellbeing impacts of fluvial flooding)\n£774.80/property (value of avoiding indirect dry-out costs)\n£3,100/property (valued of avoiding costs in terms of vehicle losses) ","per household/year\nper property",null,"pounds","2013\n2005\n2013",null,null,null,"Avoided costs estimations based on secondary literature"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B189='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C189='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K189='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quantity","Flood alleviation","Mutch et al. (2017). Understanding the value of Southampton’s urban trees. Results of the 2016 i-Tree Eco survey. University of Southampton, Forest Research, Treeconomics and Southampton City Council. Southampton. 81pp. ISBN 978-0-85432-004-2.",2017,"Water interception by urban trees can reduce flood risks","UK","Southampton ","i-Tree","urban","General public",null,"142894 (value of reduced water runoff due to water interception by urban trees)","per year",2016,"GBP",2016,null,null,null,"Water intercepted by urban trees is estimated to be 95 million litres of every year. The value of reduced water runoff is based on  ‘avoided charges’ sewerage cost to Water compannies"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B190='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C190='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K190='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quantity","Flood alleviation","Moffat et al. (2017). Petersfield’s trees - their importance and value. Results of the i-Tree Eco survey. Report to East Hampshire District Council, South Downs National Park Authority and Petersfield Town Council. The Petersfield Society, Petersfield.",2017,"Water interception by urban trees can reduce flood risks","UK","Petersfield","i-Tree","urban","General public",null,"17200 (value of reduced water runoff due to water interception by urban trees)","per year",2016,"GBP",2016,null,null,null,"Water intercepted by urban trees is estimated to be 12.8 million litres every year. The value of reduced water runoff is based on  ‘avoided charges’ sewerage cost to Water compannies"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B191='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C191='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K191='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quantity","Flood alleviation"," Rogers, K., Doick, K., Watson, J., and Osborne, E. (2018) Valuing Ealing’s Urban Trees. Trees for Cities and Treeconomics",2018,"Water interception by urban trees can reduce flood risks","UK","Ealing (London)","i-Tree","urban","General public",null,"113000 (value of reduced water runoff due to water interception by urban trees)","per year",2017,"GBP",2017,null,null,null,"Water intercepted by urban trees is estimated to be  74,435m3 every year. The value of reduced water runoff is based on  ‘avoided charges’ sewerage cost to Water compannies"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B192='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C192='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K192='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quantity","Flood alleviation","Willis, K. G., Garrod, G., Scarpa, R., Powe, N., Lovett, A., Bateman, I. J., ... & Macmillan, D. C. (2003). The social and environmental benefits of forests in Great Britain. Forestry Commission, Edinburgh.",2003,"water is lost to abstraction for potable uses",null,null,null,null,null,null,"0.13 - 1.24","per m3 of water lost to abstraction for potable uses","per m3","pounds",2001,null,"LRMC reported by OFWAT"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B193='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C193='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K193='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quantity","Food - agriculture and fisheries","Butler, J. R. A., et al. (2009). \"Evaluating an ecosystem service provided by Atlantic salmon, sea trout and other fish species in the River Spey, Scotland: The economic impact of recreational rod fisheries.\" Fisheries Research 96(2-3): 259-266.",2009,"Recreational rod fishing","Scotland","River Spey Catchment","Anglers reported their daily expenditure, and the CogentSI model was used to derive multiplier effects.","River Catchment","General public","31 fishery owners & 372 anglers",12600000,"total value of fisheries contribution to household incomes","per year","pounds","1998-2002",null,"Length of river, fish species","angler effort (days); angler characteristics (age, income, etc); angler expenditure (by fish species)","also noted that fisheries contributed an estimated 420 full time equivalent jobs in the catchment"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B194='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C194='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K194='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quantity","Food - agriculture and fisheries","Willis, K. G., Garrod, G., Scarpa, R., Powe, N., Lovett, A., Bateman, I. J., ... & Macmillan, D. C. (2003). The social and environmental benefits of forests in Great Britain. Forestry Commission, Edinburgh.",2003,"water is lost to abstraction for potable uses",null,null,null,null,null,null,"0.13 - 1.24","per m3 of water lost to abstraction for potable uses","per m3","pounds",2001,null,"LRMC reported by OFWAT"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B195='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C195='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K195='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quantity","Food - commercial","Willis, K. G., Garrod, G., Scarpa, R., Powe, N., Lovett, A., Bateman, I. J., ... & Macmillan, D. C. (2003). The social and environmental benefits of forests in Great Britain. Forestry Commission, Edinburgh.",2003,"water is lost to abstraction for potable uses",null,null,null,null,null,null,"0.13 - 1.24","per m3 of water lost to abstraction for potable uses","per m3","pounds",2001,null,"LRMC reported by OFWAT"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B196='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C196='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K196='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quantity","Food - subsistence","Willis, K. G., Garrod, G., Scarpa, R., Powe, N., Lovett, A., Bateman, I. J., ... & Macmillan, D. C. (2003). The social and environmental benefits of forests in Great Britain. Forestry Commission, Edinburgh.",2003,"water is lost to abstraction for potable uses",null,null,null,null,null,null,"0.13 - 1.24","per m3 of water lost to abstraction for potable uses","per m3","pounds",2001,null,"LRMC reported by OFWAT"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B197='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C197='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K197='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quantity","Food agriculuture and fisheries\n","Moran, D. and S. Dann (2008). \"The economic value of water use: Implications for implementing the Water Framework Directive in Scotland.\" Journal of Environmental Management 87(3): 484-496.",2008,null,"Scotland",null,"Review & Synthesis",null,null,null,null,null,null,null,null,null,null,null,"Not a primary valuation study - instead reports values from secondary data sources to derive economic values for water on a sector basis. "]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B198='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C198='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K198='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quantity","Housing services","Rogers, K., Jaluzot, A., & Neilan, C. (2012). Green Benefits in Victoria Business Improvement District, Victoria Business Improvement District, London, UK",2012,"carbon storage, carbon sequestration, storm water attentuation, replacement cost and capital asset value of urban trees","UK","Victoria","i-Tree eco, Green Infrastructure Valuation Toolkit and  Capital Asset Valuation for Amenity Trees ","Regional","General public","1225 trees","44895.24\n972.55\n49644\n2103276\n27245046","aggregate value of carbon storage\naggregate value of carbon sequestration\naggregate value of storm water attenuation\nCLTA replacement cost\nCapital asset value","per year","pounds",2011,null,null,"values computed usingi-Tree econ, Green Infrastructure Valuation Toolkit and  Capital Asset Valuation for Amenity Trees "]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B199='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C199='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K199='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quantity","Housing services","Rumble, H., et al. (2014). Valuing Wrexham’s Urban Forest: Assessing the Ecosystem Services of Wrexham’s Urban Trees: A Technical Report, Forest Research, UK.",2014,"Intercepted water from urban trees","UK","Wrexham","I-tree","Wrexham","Residential property owners",202,460000,"Total value","per year","GBP",2014,"N/A","Land-use, vegetation cover, number and size of trees, species.","Specific to Wrexham, including specific weather data."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B200='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C200='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K200='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quantity","Housing services","Rumble, H., et al. (2015). Valuing urban trees in Glasgow: Assessing the Ecosystem Services of Glasgow’s Urban Forest: A Technical Report, Forest Research, UK.",2015,"Intercepted water from urban trees","UK","Glasgow","I-tree","Glasgow","Residential property owners",200,1100000,"Total value","per year","GBP",2015,"N/A","Land-use, vegetation cover, number and size of trees, species.","Specific to Glasgow, including specific weather data."]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B201='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C201='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K201='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quantity","Housing services","Willis, K. G., Garrod, G., Scarpa, R., Powe, N., Lovett, A., Bateman, I. J., ... & Macmillan, D. C. (2003). The social and environmental benefits of forests in Great Britain. Forestry Commission, Edinburgh.",2003,"water is lost to abstraction for potable uses",null,null,null,null,null,null,"0.13 - 1.24","per m3 of water lost to abstraction for potable uses","per m3","pounds",2001,null,"LRMC reported by OFWAT"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B202='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C202='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K202='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quantity","Hydropower","Moran, D. and S. Dann (2008). \"The economic value of water use: Implications for implementing the Water Framework Directive in Scotland.\" Journal of Environmental Management 87(3): 484-496.",2008,null,"Scotland",null,"Review & Synthesis",null,null,null,null,null,null,null,null,null,null,null,"Not a primary valuation study - instead reports values from secondary data sources to derive economic values for water on a sector basis. "]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B203='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C203='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K203='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quantity","Hydropower","Willis, K. G., Garrod, G., Scarpa, R., Powe, N., Lovett, A., Bateman, I. J., ... & Macmillan, D. C. (2003). The social and environmental benefits of forests in Great Britain. Forestry Commission, Edinburgh.",2003,"water is lost to abstraction for potable uses",null,null,null,null,null,null,"0.13 - 1.24","per m3 of water lost to abstraction for potable uses","per m3","pounds",2001,null,"LRMC reported by OFWAT"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B204='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C204='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K204='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quantity","Industrial and commercial","Moran, D. and S. Dann (2008). \"The economic value of water use: Implications for implementing the Water Framework Directive in Scotland.\" Journal of Environmental Management 87(3): 484-496.",2008,null,"Scotland",null,"Review & Synthesis",null,null,null,null,null,null,null,null,null,null,null,"Not a primary valuation study - instead reports values from secondary data sources to derive economic values for water on a sector basis. "]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B205='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C205='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K205='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quantity","Industrial and commercial production with timber inputs","Willis, K. G., Garrod, G., Scarpa, R., Powe, N., Lovett, A., Bateman, I. J., ... & Macmillan, D. C. (2003). The social and environmental benefits of forests in Great Britain. Forestry Commission, Edinburgh.",2003,"water is lost to abstraction for potable uses",null,null,null,null,null,null,"0.13 - 1.24","per m3 of water lost to abstraction for potable uses","per m3","pounds",2001,null,"LRMC reported by OFWAT"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B206='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C206='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K206='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quantity","Learning services","Willis, K. G., Garrod, G., Scarpa, R., Powe, N., Lovett, A., Bateman, I. J., ... & Macmillan, D. C. (2003). The social and environmental benefits of forests in Great Britain. Forestry Commission, Edinburgh.",2003,"water is lost to abstraction for potable uses",null,null,null,null,null,null,"0.13 - 1.24","per m3 of water lost to abstraction for potable uses","per m3","pounds",2001,null,"LRMC reported by OFWAT"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B207='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C207='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K207='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quantity","Non-use value production","Willis, K. G., Garrod, G., Scarpa, R., Powe, N., Lovett, A., Bateman, I. J., ... & Macmillan, D. C. (2003). The social and environmental benefits of forests in Great Britain. Forestry Commission, Edinburgh.",2003,"water is lost to abstraction for potable uses",null,null,null,null,null,null,"0.13 - 1.24","per m3 of water lost to abstraction for potable uses","per m3","pounds",2001,null,"LRMC reported by OFWAT"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B208='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C208='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K208='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quantity","Physical health","Krupnick et al., (2002) \"Age, Health and the Willingness to Pay for\nMortality Risk Reductions: A Contingent Valuation\nSurvey of Ontario Residents\" The Journal of Risk and Uncertainty, 24:2; 161–186",2002,"Willingness to pay for reductions in mortality ","Canada","Ontario","Contingent valuation","Individual","General public",null,"C$l.2 to C$3.8 million ","mean wtp value of statistical life","one off payment","Dollars (Canadian)",1999,"out of pocket payment for an environmental program ",null,null,"willingness to pay is affected by mental health status and roughly 30 percent lower for people over 70"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B209='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C209='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K209='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quantity","Recreation","Butler, J. R. A., et al. (2009). \"Evaluating an ecosystem service provided by Atlantic salmon, sea trout and other fish species in the River Spey, Scotland: The economic impact of recreational rod fisheries.\" Fisheries Research 96(2-3): 259-266.",2009,"Recreational rod fishing","Scotland","River Spey Catchment","Anglers reported their daily expenditure, and the CogentSI model was used to derive multiplier effects.","River Catchment","General public","31 fishery owners & 372 anglers",12600000,"total value of fisheries contribution to household incomes","per year","pounds","1998-2002",null,"Length of river, fish species","angler effort (days); angler characteristics (age, income, etc); angler expenditure (by fish species)","also noted that fisheries contributed an estimated 420 full time equivalent jobs in the catchment"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B210='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C210='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K210='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quantity","Recreation","Willis, K. G., Garrod, G., Scarpa, R., Powe, N., Lovett, A., Bateman, I. J., ... & Macmillan, D. C. (2003). The social and environmental benefits of forests in Great Britain. Forestry Commission, Edinburgh.",2003,"water is lost to abstraction for potable uses",null,null,null,null,null,null,"0.13 - 1.24","per m3 of water lost to abstraction for potable uses","per m3","pounds",2001,null,"LRMC reported by OFWAT"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B211='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C211='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K211='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quantity","Spiritual and cultural","Willis, K. G., Garrod, G., Scarpa, R., Powe, N., Lovett, A., Bateman, I. J., ... & Macmillan, D. C. (2003). The social and environmental benefits of forests in Great Britain. Forestry Commission, Edinburgh.",2003,"water is lost to abstraction for potable uses",null,null,null,null,null,null,"0.13 - 1.24","per m3 of water lost to abstraction for potable uses","per m3","pounds",2001,null,"LRMC reported by OFWAT"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B212='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C212='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K212='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quantity","Transportation","Willis, K. G., Garrod, G., Scarpa, R., Powe, N., Lovett, A., Bateman, I. J., ... & Macmillan, D. C. (2003). The social and environmental benefits of forests in Great Britain. Forestry Commission, Edinburgh.",2003,"water is lost to abstraction for potable uses",null,null,null,null,null,null,"0.13 - 1.24","per m3 of water lost to abstraction for potable uses","per m3","pounds",2001,null,"LRMC reported by OFWAT"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B213='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C213='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K213='Detailed Search'!$B$6,1,0)))","v":1},null,null,"D'Amato, D., Rekkola, M., Toppinen, Li, N., Toppinen, A. (2016). Monetary valuation of forest ecosystem services in China: A literature review and identification of future research needs. Ecological Economics, 12: 75-84.",2016,"Review focuses on: hydrological services, climate regulation, soil conservation, nutrient cycling ","China","national","review of studies","national",null,null,null,null,null,null,null,null,null,null,"The review does not allow to link specific environmental goods with production functions and beneficiaries. "]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B214='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C214='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K214='Detailed Search'!$B$6,1,0)))","v":1},null,null,"Zhang, D., Stenger, A. (2015) Value and valuation of forest ecosystem services, Journal of Environmental Economics and Policy, 4:2, 129-140",2015,null,null,null,"Review and discussion around concepts of values in forest ecosystems. ",null,null,null,null,null,null,null,null,null,null,null,"No values are provided in the review, only discussion"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B215='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C215='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K215='Detailed Search'!$B$6,1,0)))","v":1},null,null,"Elsasser, P., Meyerhoff, J., Priska, W. (2016). An updated bibliography and database on forest\necosystem service valuation studies in Austria,\nGermany and Switzerland. Thünen Working paper 65",2016,"Various ecosystem services related to forests in the German-speaking area","Germany,\nAustria,\nSwitzerland","n.a. ","various","various","various","78 studies","n.a. ","various","various","various","various","various",null,null,"Review paper on forest valuation studies in German-speaking countried. Some information on the valuation studies is reported (method, good values, sample, etc.), but no information on the range of WTP values. "]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B216='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C216='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K216='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quantity","Urban heat island","Willis, K. G., Garrod, G., Scarpa, R., Powe, N., Lovett, A., Bateman, I. J., ... & Macmillan, D. C. (2003). The social and environmental benefits of forests in Great Britain. Forestry Commission, Edinburgh.",2003,"water is lost to abstraction for potable uses",null,null,null,null,null,null,"0.13 - 1.24","per m3 of water lost to abstraction for potable uses","per m3","pounds",2001,null,"LRMC reported by OFWAT"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B217='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C217='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K217='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quantity","Waste discharge","Moran, D. and S. Dann (2008). \"The economic value of water use: Implications for implementing the Water Framework Directive in Scotland.\" Journal of Environmental Management 87(3): 484-496.",2008,null,"Scotland",null,"Review & Synthesis",null,null,null,null,null,null,null,null,null,null,null,"Not a primary valuation study - instead reports values from secondary data sources to derive economic values for water on a sector basis. "]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B218='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C218='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K218='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quantity","Waste discharge","Willis, K. G., Garrod, G., Scarpa, R., Powe, N., Lovett, A., Bateman, I. J., ... & Macmillan, D. C. (2003). The social and environmental benefits of forests in Great Britain. Forestry Commission, Edinburgh.",2003,"water is lost to abstraction for potable uses",null,null,null,null,null,null,"0.13 - 1.24","per m3 of water lost to abstraction for potable uses","per m3","pounds",2001,null,"LRMC reported by OFWAT"]
[{"$f":"(IF(('Detailed Search'!$B$4)=\"All\",1,IF(B219='Detailed Search'!$B$4,1,0)))*(IF(('Detailed Search'!$B$5)=\"All\",1,IF(C219='Detailed Search'!$B$5,1,0)))*(IF(('Detailed Search'!$B$6)=\"All\",1,IF(K219='Detailed Search'!$B$6,1,0)))","v":1},"Water_Quantity",null,"Nisbet, T., Roe, P., Marrington, S., Thomas, H., Broadmeadow, S., & Valatin, G., (2015) Slowing the flow at Pickering, Final Report: Phase II, Defra FCERM Multi-objective Flood Management Demonstration project, London, UK.",2015]

{"sheet":"Master Data 3","index":6,"n_rows":24,"n_cols":3,"rows_kept":24,"cut":false,"hidden":true,"merged":[]}
["FEGS","Household or firm production function","Beneficiaries"]
[]
["Air","Artistic production","Artists"]
["Flora_Fauna","Carbon","Ceremonial and celebration participants"]
["Environment","Drinking water","Commercial property owners"]
["Soil","Flood alleviation","Education providers"]
["Sound_Scent","Food - agriculture and fisheries","Farmers"]
["Timber","Food - commercial","Foresters"]
["Views","Food - subsistence","General public"]
["Water_Quality","Housing services","Health care providers"]
["Water_Quantity","Hydropower","Hunter gatherers"]
[null,"Industrial and commercial production with timber inputs","Independent learners"]
[null,"Learning services","Insurance companies"]
[null,"Mental health","Land owners"]
[null,"Non-use value production","Non timber forest product extractors"]
[null,"Pharmaceuticals","Non users"]
[null,"Physical health","Pharmaceutical companies"]
[null,"Recreation","Power companies"]
[null,"Spiritual and cultural","Producers using timber inputs"]
[null,"Timber products - commercial","Recreational users"]
[null,"Timber products - subsistence","Residential property owners"]
[null,"Transportation","Transport companies"]
[null,"Urban heat island","Water companies"]
[null,"Waste discharge"]

{"sheet":"Master Data 4","index":7,"n_rows":25,"n_cols":13,"rows_kept":25,"cut":false,"hidden":true,"merged":[]}
["Final environmental goods and services","All","Air","Flora_Fauna","Environment","Soil","Sound_Scent","Timber","Views","Water_Quality","Water_Quantity",null,"Beneficiaries"]
[]
["All","All","All","All","All","All","All","All","All","All","All",null,"All"]
["Air","Artistic production","Artistic production","Artistic production","Artistic production","Artistic production","Artistic production","Artistic production","Artistic production","Artistic production","Artistic production",null,"Artists"]
["Flora_Fauna","Carbon","Carbon","Carbon","Housing services","Carbon","Housing services","Carbon","Carbon","Carbon","Carbon",null,"Ceremonial and celebration participants"]
["Environment","Drinking water","Food - agriculture and fisheries","Food - agriculture and fisheries","Learning services","Drinking water","Learning services","Food - agriculture and fisheries","Housing services","Drinking water","Drinking water",null,"Commercial property owners"]
["Soil","Flood alleviation","Food - commercial","Food - commercial","Mental health","Flood alleviation","Mental health","Food - commercial","Industrial and commercial production with timber inputs","Food - agriculture and fisheries","Flood alleviation",null,"Education providers"]
["Sound_Scent","Food - agriculture and fisheries","Food - subsistence","Food - subsistence","Non-use value production","Food - agriculture and fisheries","Non-use value production","Food - subsistence","Learning services","Food - commercial","Food - agriculture and fisheries",null,"Farmers"]
["Timber","Food - commercial","Housing services","Housing services","Physical health","Food - commercial","Physical health","Housing services","Mental health","Food - subsistence","Food - commercial",null,"Foresters"]
["Views","Food - subsistence","Industrial and commercial production with timber inputs","Learning services","Recreation","Food - subsistence","Recreation","Industrial and commercial production with timber inputs","Non-use value production","Housing services","Food - subsistence",null,"General public"]
["Water_Quality","Housing services","Learning services","Mental health","Spiritual and cultural","Housing services","Spiritual and cultural","Learning services","Physical health","Hydropower","Housing services",null,"Health care providers"]
["Water_Quantity","Hydropower","Mental health","Non-use value production",null,"Hydropower","Waste discharge","Non-use value production","Recreation","Industrial and commercial production with timber inputs","Hydropower",null,"Hunter gatherers"]
[null,"Industrial and commercial production with timber inputs","Non-use value production","Pharmaceuticals",null,"Learning services",null,"Pharmaceuticals","Spiritual and cultural","Learning services","Industrial and commercial production with timber inputs",null,"Independent learners"]
[null,"Learning services","Physical health","Physical health",null,"Mental health",null,"Recreation","Urban heat island","Non-use value production","Learning services",null,"Insurance companies"]
[null,"Mental health","Recreation","Recreation",null,"Non-use value production",null,"Spiritual and cultural","Waste discharge","Physical health","Non-use value production",null,"Land owners"]
[null,"Non-use value production","Spiritual and cultural","Spiritual and cultural",null,"Physical health",null,"Timber products - commercial",null,"Recreation","Recreation",null,"Non timber forest product extractors"]
[null,"Pharmaceuticals","Urban heat island","Timber products - commercial",null,"Recreation",null,"Timber products - subsistence",null,"Spiritual and cultural","Spiritual and cultural",null,"Non users"]
[null,"Physical health","Waste discharge","Timber products - subsistence",null,"Spiritual and cultural",null,"Urban heat island",null,"Transportation","Transportation",null,"Pharmaceutical companies"]
[null,"Recreation",null,"Transportation",null,"Transportation",null,"Waste discharge",null,"Urban heat island","Urban heat island",null,"Power companies"]
[null,"Spiritual and cultural",null,"Urban heat island",null,"Urban heat island",null,null,null,"Waste discharge","Waste discharge",null,"Producers using timber inputs"]
[null,"Timber products - commercial",null,"Waste discharge",null,"Waste discharge",null,null,null,null,null,null,"Recreational users"]
[null,"Timber products - subsistence",null,null,null,null,null,null,null,null,null,null,"Residential property owners"]
[null,"Transportation",null,null,null,null,null,null,null,null,null,null,"Transport companies"]
[null,"Urban heat island",null,null,null,null,null,null,null,null,null,null,"Water companies"]
[null,"Waste discharge"]

{"sheet":"Master Bio Data","index":8,"n_rows":176,"n_cols":6,"rows_kept":176,"cut":false,"hidden":true,"merged":[]}
["search criteria","Final Environmental Goods and Services","Production function","Literature","Year of publication","Detailed information on the biophysical path of benefits"]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B2='Bio Search'!$B$4,1,0)))","v":1},"Air","Physical health","Ruokolainen, L., Hertzen, L., Fyhrquist, N., Laatikainen, T., Lehtomäki, J., Auvinen, P., ... & Hanski, I. (2015) \"Green areas around homes reduce atopic sensitization in children\" Allergy, 70(2), 195-202.",2015]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B3='Bio Search'!$B$4,1,0)))","v":1},"Air","Carbon sequestration","DECC Modelling, (2014) 2014 Appraisal Guidance - Toolkit Tables - Final.xlsx, in: Department of Energy and Climate Change (Ed.), London, UK",2014]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B4='Bio Search'!$B$4,1,0)))","v":1},"Air","Carbon sequestration","Papanastasis, V.P., Bautista, S., Chouvardas, D., Mantzanas, K., Papadimitriou, M., Mayor, A.G., Koukioumi, P., Papaioannou, A., Vallejo, R.V. (2017). COMPARATIVE ASSESSMENT OF GOODS AND SERVICES PROVIDED BY GRAZING REGULATION AND REFORESTATION IN DEGRADED MEDITERRANEAN RANGELANDS. Land degradation & development 28: 1178-1187",2017,"The paper explores the effect of different management regimes on the provision of key ecosystem services: carbon sequestration, biodiversity, soil functionality for water provision, forage provision. In particular, forests are recognized to be important for carbon sequestration."]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B5='Bio Search'!$B$4,1,0)))","v":1},"Air","Urban heat island","Doick, K. J. and T. R. Hutchings (2013). Air temperature regulation by urban trees and green infrastructure, Research Note FCRN012, Forestry Commission, Edinburgh.",2013]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B6='Bio Search'!$B$4,1,0)))","v":1},"Air","Physical health","Donovan, G. H., et al. (2013). \"The Relationship Between Trees and Human Health Evidence from the Spread of the Emerald Ash Borer.\" American Journal of Preventive Medicine 44(2): 139-145.",2013]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B7='Bio Search'!$B$4,1,0)))","v":1},"Air","Urban heat island","Vos, P. E., Maiheu, B., Vankerkom, J., & Janssen, S. (2013). Improving local air quality in cities: to tree or not to tree?. Environmental pollution, 183, 113-122.",2013]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B8='Bio Search'!$B$4,1,0)))","v":1},"Air",null,"Manes, F., et al. (2012). \"Urban ecosystem services: tree diversity and stability of tropospheric ozone removal.\" Ecological Applications 22(1): 349-360.",2012]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B9='Bio Search'!$B$4,1,0)))","v":1},"Air","Climate","Baral, H., Guariguata, M. R., Keenan, R.J. (2016). A proposed framework for assessing ecosystem services from planted forests. Ecosystem Services 22: 260-268.",2016,"Conceptual paper on the benefits of planted forests: it focuses on the enhancement of rainfall and water availability at local scale, and the regulation of air quality by removing pollutants from the atmosphere (e.g., Pramova et al., 2012)"]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B10='Bio Search'!$B$4,1,0)))","v":1},"Air","Carbon sequestration","Baral, H., Guariguata, M. R., Keenan, R.J. (2016). A proposed framework for assessing ecosystem services from planted forests. Ecosystem Services 22: 260-268.",2016,"Conceptual paper on the benefits of planted forests: it focuses on the role of forests on the regulation of global climate by sequestering and storing greenhouse gases (e.g., Peng et al., 2014)"]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B11='Bio Search'!$B$4,1,0)))","v":1},"Air","Carbon sequestration","Morison, J. I. L., et al. (2012). Understanding the carbon and greenhouse gas balance of forests in Britain, Forestry Commission Research Report. Forestry Commission, Edinburgh: 149.",2012]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B12='Bio Search'!$B$4,1,0)))","v":1},"Air","Carbon sequestration","Seidl, R., Spies, T.A., Peterson, D.L., Stephens, S.L., Hicke, J.A. (2016). Searching for resilience: addressing the impacts of changing disturbance regimes on forest ecosystem services. Journal of Applied Ecology 2016, 53: 120–129",2016,"The paper focuses on forest resilience and the impacts of this on ecosystem services provision. Forest ecosystems have a regulation function and influence the global climate system. They are the largest terrestrial carbon (C) storage and buffer climate change through taking up a considerable proportion of anthropogenic CO2 emissions from the atmosphere. In the wake of a high-severity disturbance event, a large share of the stored C can be rapidly released back to the atmosphere. Climate-mediated increases in disturbances can thus exert an amplifying effect on the global climate system (Kurz et al. 2008; Seidl et al. 2014)."]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B13='Bio Search'!$B$4,1,0)))","v":1},"Air","Carbon sequestration","Sing, L., Metzger, M.J.,, Paterson, J.S., Ray, D. (2017). A review of the effects of forest management intensity on ecosystem services for northern European temperate forests with a focus on the UK. Forestry 00: 1 – 14",2017,"Forest  carbon (C) is stored above ground within the trees,\nground vegetation and litter, and below ground in the roots and soil (Lal, 2005). The relationship between stand age and carbon sequestration is dependent on the time over which carbon is sequestered and the size of the tree (Harrison\net al., 2014). Forest carbon stocks fluctuate over the lifecycle of a stand (Lippke et al., 2011), peaking during the full vigour growth phase and falling post-harvest through removal of wood material, reduction in litter and soil carbon released by disturbance (Morison et al., 2012). Increasing site productivity results in higher levels of on-site carbon accumulation (Jandl\net al., 2007; Morison et al., 2012), including use of improved forest stock (Mason and Perks, 2011). Yet rotation lengths at or below the mean maximum annual increment for biomass and timber production (FMA 3, 4 and 5) result in lower long-term forest carbon stocks. This is due to the relationship between tree size and duration of growth during the full vigour phase. Conversely forests containing deadwood and trees that are grown into mature and old growth phases (FMA 1 and 2) have been shown to store more carbon (Luyssaert et al. , 2008; D’Amato et al., 2011; Fortin et al., 2012; Harrison et al., 2014)."]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B14='Bio Search'!$B$4,1,0)))","v":1},"Air","Carbon sequestration","Sloan, S., Sayer, J.A. (2015). Forest Resources Assessment of 2015 shows positive global trends but forest loss and degradation persist in poor tropical countries. Forest Ecology and Management 352: 134–145",2015,"The paper reviews the historical change in the forest land cover at global scale and it discusses implications for the provision of various ecosystem services, including carbon sequestration. Increasing deforestation is claimed to be responsible for decreasing carbon sequestration. "]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B15='Bio Search'!$B$4,1,0)))","v":1},"Air","Carbon sequestration","Strohbach, M. W. and D. Haase (2012). \"Above-ground carbon storage by urban trees in Leipzig, Germany: Analysis of patterns in a European city.\" Landscape and Urban Planning 104(1): 95-104.",2012]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B16='Bio Search'!$B$4,1,0)))","v":1},"Air","Carbon sequestration","Davies, Z. G., et al. (2011). \"Mapping an urban ecosystem service: quantifying above-ground carbon storage at a city-wide scale.\" Journal of Applied Ecology 48(5): 1125-1134.",2011]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B17='Bio Search'!$B$4,1,0)))","v":1},"Air","Carbon sequestration","Verheyen, K., Vanhellemont, M., Auge, H.,  Baeten, L., Baraloto, C., Barsoum, N., et al. (2016). Contributions of a global network of tree diversity experiments to sustainable forest plantations. Ambio 45:29–41",2016,"The paper reviews the role of more diverse forests for carbon sequestration and pest control. With respect to carbon sequestration, afforestation is recognized as a tool through which forests can increase carbon uptake. In addition, the paper also argues that greater forest plant diversity has a positive effect in terms of enhanced forest carbon sequestration capacity.     "]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B18='Bio Search'!$B$4,1,0)))","v":1},"Air",null,"Tallis, M., et al. (2011). \"Estimating the removal of atmospheric particulate pollution by the urban tree canopy of London, under current and future environments.\" Landscape and Urban Planning 103(2): 129-138.",2011]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B19='Bio Search'!$B$4,1,0)))","v":1},"Air","Urban heat island","Bowler, D. E., et al. (2010). \"Urban greening to cool towns and cities: A systematic review of the empirical evidence.\" Landscape and Urban Planning 97(3): 147-155.",2010]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B20='Bio Search'!$B$4,1,0)))","v":1},"Air","Carbon sequestration","Dietz, S. and Fankhauser, S. (2010) Environmental prices, uncertainty, and learning. Oxford review of economic policy 26, 270-284",2010]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B21='Bio Search'!$B$4,1,0)))","v":1},"Air","Carbon sequestration","Matthews, R. W. and M. S. J. Broadmeadow (2009). The potential of UK forestry to contribute to Government’s emissions reduction commitments. Combating climate change – a role for UK forests. An assessment of the potential of the UK’s trees and woodlands to mitigate and adapt to climate change. D. J. Read, P. Freer-Smith, J. I. L. Morison et al. Edinburgh: HMSO The Stationery Office: p.139-161.",2009]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B22='Bio Search'!$B$4,1,0)))","v":1},"Air","Carbon sequestration","DECC, (2009) Carbon valuation in UK policy appraisal: A revised approach, in: Climate Change Economics: Department of Energy & Climate Change (Ed.), London, UK.",2009]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B23='Bio Search'!$B$4,1,0)))","v":1},"Air",null,"McDonald, A. G., et al. (2007). \"Quantifying the effect of urban tree planting on concentrations and depositions of PM10 in two UK conurbations.\" Atmospheric Environment 41(38): 8455-8467.",2007]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B24='Bio Search'!$B$4,1,0)))","v":1},"Air",null,"Bealey, W. J., et al. (2007). \"Estimating the reduction of urban PM10 concentrations by trees within an environmental information system for planners.\" Journal of Environmental Management 85(1): 44-58.",2007]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B25='Bio Search'!$B$4,1,0)))","v":1},"Air","Carbon sequestration","Myeong, S., et al. (2006). \"A temporal analysis of urban forest carbon storage using remote sensing.\" Remote Sensing of Environment 101(2): 277-282.",2006]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B26='Bio Search'!$B$4,1,0)))","v":1},"Air","Urban heat island","Potchter, O., Cohen, P., & Bitan, A. (2006). Climatic behavior of various urban parks during hot and humid summer in the Mediterranean city of Tel Aviv, Israel. International Journal of Climatology, 26(12), 1695-1711. ",2006]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B27='Bio Search'!$B$4,1,0)))","v":1},"Air",null,"Donovan, R. G., et al. (2005). \"Development and application of an urban tree air quality score for photochemical pollution episodes using the Birmingham, United Kingdom, area as a case study.\" Environmental Science & Technology 39(17): 6730-6738.",2005]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B28='Bio Search'!$B$4,1,0)))","v":1},"Air",null,"Freer-Smith, P. H., et al. (2004). \"Capture of particulate pollution by trees: A comparison of species typical of semi-arid areas (Ficus nitida and Eucalyptus globulus) with European and North American species.\" Water Air and Soil Pollution 155(1-4): 173-187.",2004]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B29='Bio Search'!$B$4,1,0)))","v":1},"Air","Physical health","Powe, N. A. and K. G. Willis (2004). \"Mortality and morbidity benefits of air pollution (SO2 and PM10) absorption attributable to woodland in Britain.\" Journal of Environmental Management 70(2): 119-128.",2004]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B30='Bio Search'!$B$4,1,0)))","v":1},"Air","Physical health","Owen, S.M., MacKenzie, A.R., Stewart, H., Donovan, R. & Hewitt, C.N. (2003) Biogenic volatile organic compound (VOC) emission estimates from an urban tree canopy. Ecological Applications, 13, 927–938.",2003]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B31='Bio Search'!$B$4,1,0)))","v":1},"Air","Carbon sequestration","Köhl, M., Lasco, R.,Cifuentes, M., Jonsson, O, Korhonen, KT., Mundhenk, P., Navar, J. J., Stinson, G., (2015). Changes in forest production, biomass and carbon: Results from the 2015 UN FAO Global Forest Resource Assessment. Forest Ecology and Management 352: 21–34",2015,"The paper explores the change over time of two services provided by forests: wood production and carbon sequestration. However, it does not provide information on the biophysical pathway leading to the supply of the two ecosystem services and goods."]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B32='Bio Search'!$B$4,1,0)))","v":1},"Air","Carbon sequestration","Nowak, D. J. and D. E. Crane (2002). \"Carbon storage and sequestration by urban trees in the USA.\" Environmental Pollution 116(3): 381-389.",2002]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B33='Bio Search'!$B$4,1,0)))","v":1},"Air",null,"Nisbet, T. R. (2001). \"The role of forest management in controlling diffuse pollution in UK forestry.\" Forest Ecology and Management 143(1-3): 215-226.",2001]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B34='Bio Search'!$B$4,1,0)))","v":1},"Air",null,"Nowak, D. J., et al. (2000). \"A modeling study of the impact of urban trees on ozone.\" Atmospheric Environment 34(10): 1601-1613.",2000]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B35='Bio Search'!$B$4,1,0)))","v":1},"Air","Urban heat island","Shashua-Bar, L. and M. E. Hoffman (2000). \"Vegetation as a climatic component in the design of an urban street: An empirical model for predicting the cooling effect of urban green areas with trees.\" Energy and Buildings 31(3): 221-235.",2000]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B36='Bio Search'!$B$4,1,0)))","v":1},"Air",null,"Beckett, K. P., et al. (2000). \"Particulate pollution capture by urban trees: effect of species and windspeed.\" Global Change Biology 6(8): 995-1003.",2000]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B37='Bio Search'!$B$4,1,0)))","v":1},"Air",null,"Beckett, K. P., et al. (1998). \"Urban woodlands: their role in reducing the effects of particulate pollution.\" Environmental Pollution 99(3): 347-360.",1998]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B38='Bio Search'!$B$4,1,0)))","v":1},"Air","Urban heat island","Gill, S. E., Handley, J. F., Ennos, A. R., & Pauleit, S. (2007). Adapting Cities for Climate Change: The Role of the Green Infrastructure. Built Environment, 33(1), 115-133. ",2007]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B39='Bio Search'!$B$4,1,0)))","v":1},"Air","Carbon sequestration","Price, R., Thornton, S., & Nelson, S. (2007). The social cost of carbon and the shadow price of carbon: what they are, and how to use them in economic appraisal in the UK. Department for Environment Food and Rural Affairs, UK",2007]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B40='Bio Search'!$B$4,1,0)))","v":1},"Environment",null,"Ghazoul,J., Burivalova, Z.,Garcia-Ulloa,J., and King, L.A. (2015). Conceptualizing Forest Degradation. Trends in Ecology and Evolution 30(10): 622-632",2015,"The paper focuses on forests' health (resilience) given the considerable pressures in terms of degradation exerted by humans on these ecosystems. They mention that forest degradation can undermine the capacity of forests to provide ecosystem services (including biodiversity, green house gas sequestration and others), but they do not specifically focus on one services in particular. "]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B41='Bio Search'!$B$4,1,0)))","v":1},"Environment",null,"Kindler, E. (2016). A comparison of the concepts: Ecosystem services and forest functions to improve interdisciplinary exchange. Forest Policy and Economics 67: 52-59",2016,"The paper presents a review of ecosystem services provided by  forests, but does not focus on describing the biophysical processes underlying each of them. Ecosystem services reviewed by the study, include:\n- Gas regulation\n- Climate regulation\n- Disturbance regulation \n- Water regulation\n- Water supply\n- Water purification\n- Erosion control/sediment retention\n- Soil formation\n- Nutrient cycling\n- Waste treatment\n- Pollination\n- Biological control\n- Refugia\n- Food production\n- Raw materials\n- Fuel wood \n- Biochemical\n- Genetic resources\n- Recreation\n- Culture/cultural heritage\n- Spirituality and Religion\n- Aesthetics/Inspiration\n- Education\n- Sense of place"]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B42='Bio Search'!$B$4,1,0)))","v":1},"Environment","Mental health","Cook, M. (2015). Forests as places of mental well-being for people with dementia. Research Note FCRN019, Forestry Commission Scotland.",2015]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B43='Bio Search'!$B$4,1,0)))","v":1},"Environment","Physical health","Ruokolainen L, von Hertzen L, Fyhrquist N, Laatikainen T, Lehtomäki J, Auvinen P, Karvonen AM,Hyvärinen A, Tillmann V, Niemelä O, Knip M, Haahtela T, Pekkanen J, Hanski I. (2015) Green areas around homes reduce atopic sensitization in children. Allergy, 70: 195–202.",2015]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B44='Bio Search'!$B$4,1,0)))","v":1},"Environment","Physical health","Donovan, G. H., Michael, Y. L., Gatziolis, D., Prestemon, J. P., & Whitsel, E. A. (2015). Is tree loss associated with cardiovascular-disease risk in the Women's Health Initiative? A natural experiment. Health & place, 36, 1-7.",2015]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B45='Bio Search'!$B$4,1,0)))","v":1},"Environment","Physical health","Ruokolainen, L., Hertzen, L., Fyhrquist, N., Laatikainen, T., Lehtomäki, J., Auvinen, P., ... & Hanski, I. (2015) \"Green areas around homes reduce atopic sensitization in children\" Allergy, 70(2), 195-202.",2015]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B46='Bio Search'!$B$4,1,0)))","v":1},"Environment","Mental health","Willis (2015) Health benefits and green space, presented at EAEREs 21st Annual Conference, 24 – 27 June",2015]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B47='Bio Search'!$B$4,1,0)))","v":1},"Environment","Physical health","Alcocket, I, White MP, Wheeler BW, Fleming LE, Depledge MH (2014).  Longitudinal effects on mental health of moving to greener and less green urban areas.  Environmental Science and Technology  48(2): 1247-1255. ",2014]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B48='Bio Search'!$B$4,1,0)))","v":1},"Environment","Mental health","Alcocket, I, White MP, Wheeler BW, Fleming LE, Depledge MH (2014).  Longitudinal effects on mental health of moving to greener and less green urban areas.  Environmental Science and Technology  48(2): 1247-1255. ",2014]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B49='Bio Search'!$B$4,1,0)))","v":1},"Environment","Physical health","Donovan, G. H., Butry, D. T., Michael, Y. L., Prestemon, J. P., Liebhold, A. M., Gatziolis, D., & Mao, M. Y. (2013). The relationship between trees and human health: evidence from the spread of the emerald ash borer. American journal of preventive medicine, 44(2), 139-145.",2013]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B50='Bio Search'!$B$4,1,0)))","v":1},"Environment","Recreation","Tratalos, J., Sugden, R., Bateman, I., Gill, J., Jones, A., Showler, D., Sutherland, W., Watkinson, A., (2013) The conflict between conservation and recreation when visitors dislike crowding: a theoretical and empirical analysis of the spatial distribution of recreational beach users. Environmental Resource Economics, 55 (3), 447–465",2013]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B51='Bio Search'!$B$4,1,0)))","v":1},"Environment","Physical health","Lee, A.C.K. and Maheswaran R. (2011).  The health benefits of green urban green spaces: a review of the evidence.  Journal of Public Health 33(2): 212-222. ",2011]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B52='Bio Search'!$B$4,1,0)))","v":1},"Environment","Mental health","Lee, A.C.K. and Maheswaran R. (2011).  The health benefits of green urban green spaces: a review of the evidence.  Journal of Public Health 33(2): 212-222. ",2011]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B53='Bio Search'!$B$4,1,0)))","v":1},"Environment","Physical health","Mourato et al., (2010) \"Economic Analysis of Cultural Services\" UK NEA Economic Analysis Report",2010]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B54='Bio Search'!$B$4,1,0)))","v":1},"Environment","Mental health","Mourato et al., (2010) \"Economic Analysis of Cultural Services\" UK NEA Economic Analysis Report",2010]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B55='Bio Search'!$B$4,1,0)))","v":1},"Environment","Recreation","Natural England (2010) Monitor of Engagement with the Natural Environment: The national survey on people and the natural environment. MENE Technical report NECR050. ",2010]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B56='Bio Search'!$B$4,1,0)))","v":1},"Environment","Recreation","Jones, A., Wright, J., Bateman, I., & Schaafsma, M. (2010). Estimating arrival numbers for informal recreation: a geographical approach and case study of British woodlands. Sustainability, 2(2), 684-701.",2010]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B57='Bio Search'!$B$4,1,0)))","v":1},"Views","Recreation","Baral, H., Guariguata, M. R., Keenan, R.J. (2016). A proposed framework for assessing ecosystem services from planted forests. Ecosystem Services 22: 260-268.",2016,"Forests are important to supply scenic and natural landscapes that provide opportunities for mental and physical health (e. g., Dhakal et al., 2012; Smailes and Smith, 2001; Turner et al., 2011)"]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B58='Bio Search'!$B$4,1,0)))","v":1},"Environment","Physical health","Mitchell, R., & Popham, F. (2008). Effect of exposure to natural environment on health inequalities: an observational population study. The Lancet, 372(9650), 1655-1660.",2008]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B59='Bio Search'!$B$4,1,0)))","v":1},"Environment","Physical health","Pretty, J., Peacock, J., Hine, R., Sellens, M., South, N., & Griffin, M. (2007). Green exercise in the UK countryside: Effects on health and psychological well-being, and implications for policy and planning. Journal of environmental planning and management, 50(2), 211-231.",2007]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B60='Bio Search'!$B$4,1,0)))","v":1},"Environment","Mental health","Pretty, J., Peacock, J., Hine, R., Sellens, M., South, N., & Griffin, M. (2007). Green exercise in the UK countryside: Effects on health and psychological well-being, and implications for policy and planning. Journal of environmental planning and management, 50(2), 211-231.",2007]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B61='Bio Search'!$B$4,1,0)))","v":1},"Environment","Mental health","Milligan, C., & Bingley, A. (2007). Restorative places or scary spaces? The impact of woodland on the mental well-being of young adults. Health & place,13(4), 799-811.",2007]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B62='Bio Search'!$B$4,1,0)))","v":1},"Environment","Mental health","Maas, J., et al. (2006). \"Green space, urbanity, and health: how strong is the relation?\" Journal of Epidemiology and Community Health 60(7): 587-592.",2006]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B63='Bio Search'!$B$4,1,0)))","v":1},"Environment","Physical health","Maas, J., et al. (2006). \"Green space, urbanity, and health: how strong is the relation?\" Journal of Epidemiology and Community Health 60(7): 587-592.",2006]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B64='Bio Search'!$B$4,1,0)))","v":1},"Environment","Climate","Potchter, O., et al. (2006). \"Climatic behavior of various urban parks during hot and humid summer in the Mediterranean city of Tel Aviv, Israel.\" International Journal of Climatology 26(12): 1695-1711.",2006]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B65='Bio Search'!$B$4,1,0)))","v":1},"Environment","Mental health","Maller, C., Townsend, M., Pryor, A., Brown, P., & St Leger, L. (2006). Healthy nature healthy people:‘contact with nature’as an upstream health promotion intervention for populations. Health promotion international, 21(1), 45-54.",2006]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B66='Bio Search'!$B$4,1,0)))","v":1},"Environment","Mental health","Maller, C., Townsend, M., Pryor, A., Brown, P., & St Leger, L. (2006). Healthy nature healthy people:‘contact with nature’as an upstream health promotion intervention for populations. Health promotion international, 21(1), 45-54.",2006]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B67='Bio Search'!$B$4,1,0)))","v":1},"Environment","Physical health","Pretty, J., Peacock, J., Sellens, M., & Griffin, M. (2005) \"The mental and physical health outcomes of green exercise\" International journal of environmental health research, 15(5), 319-337.",2005]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B68='Bio Search'!$B$4,1,0)))","v":1},"Environment","Mental health","Pretty, J., Peacock, J., Sellens, M., & Griffin, M. (2005) \"The mental and physical health outcomes of green exercise\" International journal of environmental health research, 15(5), 319-337.",2005]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B69='Bio Search'!$B$4,1,0)))","v":1},"Environment","Climate","Read, D. J., et al. (2009). Combating climate change – a role for UK forests. An assessment of the potential of the UK’s trees and woodlands to mitigate and adapt to climate change, The Stationery Office, Edinburgh.",2003]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B70='Bio Search'!$B$4,1,0)))","v":1},"Environment","Mental health","Hartig, T., Evans, G. W., Jamner, L. D., Davis, D. S., & Gärling, T. (2003). Tracking restoration in natural and urban field settings. Journal of environmental psychology, 23(2), 109-123.",2003]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B71='Bio Search'!$B$4,1,0)))","v":1},"Environment","Physical health","De Vries, S., Verheij, R. A., Groenewegen, P. P., & Spreeuwenberg, P. (2003). Natural environments-healthy environments? An exploratory analysis of the relationship between greenspace and health. Environment and planning A,35(10), 1717-1732.",2003]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B72='Bio Search'!$B$4,1,0)))","v":1},"Environment","Non-use value production","Baral, H., Guariguata, M. R., Keenan, R.J. (2016). A proposed framework for assessing ecosystem services from planted forests. Ecosystem Services 22: 260-268.",2016,"Conceptual paper on the benefits of planted forests:  it described forests as habitat for insects and birds which are important for pollination and support the provision of all other ecosystem services including the supply of food products, e.g. fruit, vegetables and seeds (e.g., Taki et al., 2013)"]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B73='Bio Search'!$B$4,1,0)))","v":1},"Environment","Non-use value production","Baral, H., Guariguata, M. R., Keenan, R.J. (2016). A proposed framework for assessing ecosystem services from planted forests. Ecosystem Services 22: 260-268.",2016,"Conceptual paper on the benefits of planted forests: it focuses on forests as ecosystems providing habitat for a variety of native plants and animals (in biodiverse planted forests, e.g., Nagaike, 2002). The article discusses the role of forests in supporting high biodiversity (number of genetically diverse species) ."]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B74='Bio Search'!$B$4,1,0)))","v":1},"Environment",null,"Garrod, G. (2002). Social & Environmental Benefits of Forestry Phase 2 : Landscape Benefits, Report to the Forestry Commission, Edinburgh.",2002]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B75='Bio Search'!$B$4,1,0)))","v":1},"Environment",null,"Hutchings, T. R. (2002). \"The establishment of trees on contaminated land.\" Arboricultural Journal 26(4): 359-376.",2002]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B76='Bio Search'!$B$4,1,0)))","v":1},"Flora_Fauna",null,"Alarcon , Gisele G., Yohannes Ayanu, Alfredo C. Fantini, Joshua Farley, Abdon Schmitt Filho, Thomas Koellner (2015). Weakening the Brazilian legislation for forest conservation has severe impacts for ecosystem services in the Atlantic Southern Forest. Land Use Policy 47: 1-11.",2015,"Biodiversity of plants and animals, in terms high diversity and endemism, is maintained through low levels of habitat fragmentation and low human pressures (i.e. agriculture, logging, road openings, cattle farming, etc.)"]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B77='Bio Search'!$B$4,1,0)))","v":1},"Flora_Fauna",null,"Asner, Gregory P.,  Philip G. Brodrick, Christopher B. Anderson, Nicholas Vaughn, David E. Knapp, and Roberta E. Martin (2015). Progressive forest canopy water loss during the 2012–2015 California drought. PNAS 249-255",2015,"The paper explores the effects of climate change induced drought on canopy water content, which is an indicator of plant health and correct functioning. Healthy trees are important to support several ecosystem services, including water provision, carbon sequestration, recreation, timber provision. It is hard to link the final ecosystem good and service to a specific production function in this paper.  "]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B78='Bio Search'!$B$4,1,0)))","v":1},"Flora_Fauna",null,"Filyushkina, Anna, Niels Strange, Magnus Löf, Eugene E. Ezebilo & Mattias Boman (2016). Non-market forest ecosystem services and decision support in Nordic countries, Scandinavian Journal of Forest Research, 31:1, 99-110",2016,"The paper is a review of ecosystem services provided by Nordic forests and it considers a variety of services: provisioning (timber), biodiversity, recreation, carbon sequestration. It does not explain in detail the biophysical path leading to each impact, though."]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B79='Bio Search'!$B$4,1,0)))","v":1},"Air","Carbon sequestration","Anderegg,William R. L., Tamir Klein, Megan Bartlett, Lawren Sack, Adam F. A. Pellegrini, Brendan Choat, and Steven Jansen (2016). Meta-analysis reveals that hydraulic traits explain\ncross-species patterns of drought-induced tree\nmortality across the globe. PNAS 113: 5024-5029",2016,"Trees are important sources of carbon sequestration. In the paper, the author explore, through a meta-analysis, the effects of climate change induced droughts on trees mortality.  "]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B80='Bio Search'!$B$4,1,0)))","v":1},"Flora_Fauna","Climate","Gauthier,S., Bernier, P, Kuuluvainen, T.,  Shvidenko, A. Z., Schepaschenko, D.G. (2015). Boreal forest health and global change. Science 349(6250): 819-822 ",2015,"The paper focuses on forests' health (resilience) to disturbance generated by global change. Despite a variety of ecosystem services are considered, it particularly focuses on wood production and climate regulation as two main services provided by woodlands"]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B81='Bio Search'!$B$4,1,0)))","v":1},"Air","Climate","Lwasa, S., Mugagga, F., Wahab, B., Simon, D.,  Connors, J.P., Griffith, C. (2015). A meta-analysis of urban and peri-urban agriculture and forestry in mediating climate change. Current Opinion in Environmental Sustainability 2015, 13:68–73",2015,"The paper focuses on the role of forests, in addition to agricultural areas, as drivers of climate stabilization in urban and peri-urban areas. It considers two mechanisms through which trees can affect climate: 1) through the creation of areas to reduce urban heat islands and 2) through carbon sequestration"]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B82='Bio Search'!$B$4,1,0)))","v":1},"Flora_Fauna","Food","Baral, H., Guariguata, M. R., Keenan, R.J. (2016). A proposed framework for assessing ecosystem services from planted forests. Ecosystem Services 22: 260-268.",2016,"Conceptual paper on the benefits of planted forests: it focuses on the provision of wild food such as mashrooms, berries, fruits (e.g., Evans, 2009;FAO, 2010)"]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B83='Bio Search'!$B$4,1,0)))","v":1},"Flora_Fauna","Food","Papanastasis, V.P., Bautista, S., Chouvardas, D., Mantzanas, K., Papadimitriou, M., Mayor, A.G., Koukioumi, P., Papaioannou, A., Vallejo, R.V. (2017). COMPARATIVE ASSESSMENT OF GOODS AND SERVICES PROVIDED BY GRAZING REGULATION AND REFORESTATION IN DEGRADED MEDITERRANEAN RANGELANDS. Land degradation & development 28: 1178-1187",2017,"The paper explores the effect of different forest management regimes on the provision of key ecosystem services: carbon sequestration, biodiversity, soil functionality for water provision, forage provision. In particular, forage provision is related to the availability of forest biomass (herbaceous biomass). "]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B84='Bio Search'!$B$4,1,0)))","v":1},"Flora_Fauna","Food - agriculture and fisheries","Lakerveld, R.P., Lele, S., Crane, T.A., Fortuin, K.P.J., Springate-Baginski, O. (2015). The social distribution of provisioning forest ecosystem services:Evidence and insights from Odisha, India. Ecosystem Services 14: 56–66",2015,"The paper focuses on the following  ecosystem services provided by forests: bamboo, grazing (goat grazing) and non-timber food provision. Not much information is provided on the biophysical processes leading to the provision of these goods. Most of the attention is on the distributional implications of goods' provision across local community members.  "]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B85='Bio Search'!$B$4,1,0)))","v":1},"Timber","Industrial production","Sereke, F., Graves, A.R., Dux, D., Palma, J.H.N., Herzog, F., (2015). Innovative agroecosystem goods and services: key profitability drivers in Swiss agroforestry. Agron. Sustain. Dev. 35: 759\n– 770.",2015,"The paper explores the productivity and profitability of Swiss agri-forestry practices.To model yield and crop impacts, the Yield-SAFE model is considered. The Yield-SAFE model describes the temporal dynamics of (1) tree biomass, (2) tree leaf area, (3) number of shoots per tree, (4) crop biomass, (5) crop leaf area index, (6) heat sum, and (7) soil water content."]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B86='Bio Search'!$B$4,1,0)))","v":1},"Flora_Fauna","Industrial production","Balthazar, V., Vanacker, V., Molina, A., Lambin, E.F. (2015). Impacts of forest cover change on ecosystem services in high Andean mountains Ecological Indicators 48: 63-75",2015,"Forests contribute to timber provision"]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B87='Bio Search'!$B$4,1,0)))","v":1},"Flora_Fauna","Industrial production","Baral, H., Guariguata, M. R., Keenan, R.J. (2016). A proposed framework for assessing ecosystem services from planted forests. Ecosystem Services 22: 260-268.",2016,"Conceptual paper on the benefits of planted forests: it focuses on the provision of raw materials for construction, pulp and wood, biofuels and essential oils (e.g., Carle and Holmgren, 2008; Buford and Neary, 2010; FAO, 2010)"]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B88='Bio Search'!$B$4,1,0)))","v":1},"Flora_Fauna","Industrial production","Bele, M.Y., Sonwa, D.J., Tiani A.-M. (2015). Adapting the Congo Basin forests management to climate change: Linkages among biodiversity, forest loss, and human well-being. ",2015,"The paper focuses on the role of forest management as a tool for climate change adaptation. It argues that both focusing on  forest conservation (biodiversity) and on ensuring  that people's livelihoods are targeted (poverty alleviation, industrial production and employment opportunities), could be good adaptation strategies to climate change."]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B89='Bio Search'!$B$4,1,0)))","v":1},"Flora_Fauna","Non-use value production","Morales-Hidalgo, D., Oswalt, S.N., Somanathan, E. (2015). Status and trends in global primary forest, protected areas, and areas designated for conservation of biodiversity from the Global Forest Resources Assessment 2015. Forest Ecology and Management 352: 68–77",2015,"The paper explores the role of forests as ecosystems providing habitats to support biodiversity (species). It particularly investigates the status and trend in conservation of biodiversity in forests around the world. "]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B90='Bio Search'!$B$4,1,0)))","v":1},"Flora_Fauna","Non-use value production","Papanastasis, V.P., Bautista, S., Chouvardas, D., Mantzanas, K., Papadimitriou, M., Mayor, A.G., Koukioumi, P., Papaioannou, A., Vallejo, R.V. (2017). COMPARATIVE ASSESSMENT OF GOODS AND SERVICES PROVIDED BY GRAZING REGULATION AND REFORESTATION IN DEGRADED MEDITERRANEAN RANGELANDS. Land degradation & development 28: 1178-1187",2017,"The paper explores the effect of different management regimes on the provision of key ecosystem services: carbon sequestration, biodiversity, soil functionality for water provision, forage provision. In particular, biodiversity is measured as species richness."]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B91='Bio Search'!$B$4,1,0)))","v":1},"Flora_Fauna","Non-use value production","Petersen, A.H., Strange, N., Anthon, S., Bjørner, T.B., Rahbek C. (2016). Conserving what, where and how? Cost-efficient measures toconserve biodiversity in Denmark. Journal for Nature Conservation 29: 33–44",2016,"The paper focuses on the importance of forests as habitats for species (biodiversity). In particular, the article aims to explore the cost-effectiveness of measures oriented to maintain biodiversity levels.   "]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B92='Bio Search'!$B$4,1,0)))","v":1},"Flora_Fauna","Non-use value production","Sloan, S., Sayer, J.A. (2015). Forest Resources Assessment of 2015 shows positive global trends but forest loss and degradation persist in poor tropical countries. Forest Ecology and Management 352: 134–145",2015,"The paper reviews the historical change in the forest land cover at global scale and it discusses implications for the provision of various ecosystem services, including biodiversity. Agricultural expansion as well as road construction are mentioned as important sources of land fragmentation and degradation, threatening the loss of primary and quality forest habitat.   "]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B93='Bio Search'!$B$4,1,0)))","v":1},"Flora_Fauna","Non-use value production","Spake, R., Ezard, T.H.G., Martin, P.A.Newton,A.C.,\nDoncaster, C.P. (2015). A meta-analysis of functional group responses to forest recovery outside of the tropics. Conservation Biology. 29(6): 1695–1703",2015,"The paper focuses on biodiversity offsetting in forests and it reviews the role of forest biodiversity. In particular, it discusses the relationship between forest stand age on species richness by considering different functional groups:  lykens, which contribute to water and nutrient cycles, through precipitation interception and nutrient sequestration; fungi, which act as agents of wood decomposition and thus have an effect on carbon and nutrient cycling; beetle, which contribute to herbivory, predation, decomposition, and microhabitat creation. "]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B94='Bio Search'!$B$4,1,0)))","v":1},"Flora_Fauna","Physical health","Donovan, G. H., Michael, Y. L., Gatziolis, D., Prestemon, J. P., & Whitsel, E. A. (2015). Is tree loss associated with cardiovascular-disease risk in the Women's Health Initiative? A natural experiment. Health & place, 36, 1-7.",2015]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B95='Bio Search'!$B$4,1,0)))","v":1},"Flora_Fauna","Plant health","Baral, H., Guariguata, M. R., Keenan, R.J. (2016). A proposed framework for assessing ecosystem services from planted forests. Ecosystem Services 22: 260-268.",2016,"Conceptual paper on the benefits of planted forests: it focuses on the role of forests on the provision of natural habitat for fauna and flora, against predators and parasites (e.g., Nagaike, 2002)  "]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B96='Bio Search'!$B$4,1,0)))","v":1},"Flora_Fauna","Plant health","Seidl, R., Spies, T.A., Peterson, D.L., Stephens, S.L., Hicke, J.A. (2016). Searching for resilience: addressing the impacts of changing disturbance regimes on forest ecosystem services. Journal of Applied Ecology 2016, 53: 120–129",2016,"The paper focuses on forest resilience and the impacts of this on ecosystem services provision. Timber, fibre and fuelwood supply are important provisioning  services in woodlands.  Their levels are though affected by disturbances which occur at different levels and through different channels, including: the loss of biomass through consumption by fire, the devaluation of timber by wind breakage and fungal infections following bark beetle infestations, and the reduced increment through premature mortality (Gardiner et al 2010)."]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B97='Bio Search'!$B$4,1,0)))","v":1},"Flora_Fauna","Plant health","Verheyen, K., Vanhellemont, M., Auge, H.,  Baeten, L., Baraloto, C., Barsoum, N., et al. (2016). Contributions of a global network of tree diversity experiments to sustainable forest plantations. Ambio 45:29–41",2016,"The paper reviews the role of more diverse forests for carbon sequestration and pest control. With respect to pest control, the paper argues that greater forest plant diversity has a positive effect in terms of enhanced forest’s resistance to pest insect outbreaks.     "]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B98='Bio Search'!$B$4,1,0)))","v":1},"Views","Recreation","Seidl, R., Spies, T.A., Peterson, D.L., Stephens, S.L., Hicke, J.A. (2016). Searching for resilience: addressing the impacts of changing disturbance regimes on forest ecosystem services. Journal of Applied Ecology 2016, 53: 120–129",2016,"The paper focuses on forest resilience and the impacts of this on ecosystem services provision. The recreational value of forest landscapes, for instance, can be strongly diminished by a disturbance event (Sheppard & Picard 2006), as dead trees\nare frequently perceived as less scenic then live stands and\ncreate hazards for tourists. Consequently, recreational\nsites such as campgrounds and trails are often closed after\nsevere disturbances because of the risk of falling trees. Human health might also be negatively affected by changing forest disturbance regimes (Embrey, Remais & Hess 2012). "]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B99='Bio Search'!$B$4,1,0)))","v":1},"Flora_Fauna","Recreation","Tratalos, J., Sugden, R., Bateman, I., Gill, J., Jones, A., Showler, D., Sutherland, W., Watkinson, A., (2013) The conflict between conservation and recreation when visitors dislike crowding: a theoretical and empirical analysis of the spatial distribution of recreational beach users. Environmental Resource Economics, 55 (3), 447–465",2013]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B100='Bio Search'!$B$4,1,0)))","v":1},"Flora_Fauna",null,"Helden, A. J., et al. (2012). \"Urban biodiversity: comparison of insect assemblages on native and non-native trees.\" Urban Ecosystems 15(3): 611-624.",2012]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B101='Bio Search'!$B$4,1,0)))","v":1},"Flora_Fauna",null,"Marzano, M. and N. Dandy (2012). Recreational use of forests and disturbance of wildlife – a literature review, Forestry Commission Research Report. Forestry Commission, Edinburgh: 40.",2012]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B102='Bio Search'!$B$4,1,0)))","v":1},"Flora_Fauna",null,"Quine, C. P. and J. W. Humphrey (2010). \"Plantations of exotic tree species in Britain: Irrelevant for biodiversity or novel habitat for native species?\" Biodiversity and Conservation 19(5): 1503-1512.",2010]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B103='Bio Search'!$B$4,1,0)))","v":1},"Flora_Fauna",null,"Davies, Z. G., et al. (2009). \"A national scale inventory of resource provision for biodiversity within domestic gardens.\" Biological Conservation 142(4): 761-771.",2009]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B104='Bio Search'!$B$4,1,0)))","v":1},"Flora_Fauna",null,"Calder, I. R., et al. (2008). Woodland actions for biodiversity and their role in water management, The Woodlands Trust, Lincolnshire: 24.",2008]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B105='Bio Search'!$B$4,1,0)))","v":1},"Flora_Fauna",null,"Croci, S., et al. (2008). \"Small urban woodlands as biodiversity conservation hot-spot: a multi-taxon approach.\" Landscape Ecology 23(10): 1171-1186.",2008]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B106='Bio Search'!$B$4,1,0)))","v":1},"Flora_Fauna",null,"Humphrey, J., et al. (2003). Biodiversity in Britain’s Planted Forests, Results from the Forestry Commission’s Biodiversity Assessment Project, Forestry Commission, Edinburgh.",2003]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B107='Bio Search'!$B$4,1,0)))","v":1},"Soil",null,"Quine, C. P., et al. (2011). UK National Ecosystem Assessment, Chapter 8: Woodlands, UNEP-WCMC, Cambridge.",2011]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B108='Bio Search'!$B$4,1,0)))","v":1},"Timber",null,"Balthazar, V., Vanacker, V., Molina, A., Lambin, E.F. (2015). Impacts of forest cover change on ecosystem services in high Andean mountains Ecological Indicators 48: 63-75",2015,"Forests can contribute to the reduction of soil erosion. They decrease peakflows and sediment fluxes through the reduction of the transport efficiency and active gully systems. They allow regeneration of shrubs which enhances sediment trapping and reduces surface runoff. "]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B109='Bio Search'!$B$4,1,0)))","v":1},"Soil",null,"Baral, H., Guariguata, M. R., Keenan, R.J. (2016). A proposed framework for assessing ecosystem services from planted forests. Ecosystem Services 22: 260-268.",2016,"Conceptual paper on the benefits of planted forests: it focuses on the capacity of forests to provide vital regulating services by preventing soil erosion (e.g., Oliveira et al., 2013)"]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B110='Bio Search'!$B$4,1,0)))","v":1},"Water_Quality","Drinking water","Papanastasis, V.P., Bautista, S., Chouvardas, D., Mantzanas, K., Papadimitriou, M., Mayor, A.G., Koukioumi, P., Papaioannou, A., Vallejo, R.V. (2017). COMPARATIVE ASSESSMENT OF GOODS AND SERVICES PROVIDED BY GRAZING REGULATION AND REFORESTATION IN DEGRADED MEDITERRANEAN RANGELANDS. Land degradation & development 28: 1178-1187",2017,"The paper explores the effect of different forest management regimes on the provision of key ecosystem services: carbon sequestration, biodiversity, soil functionality for water provision, forage provision. In particular, good soil functionality is described as being of paramount importance for water filtration."]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B111='Bio Search'!$B$4,1,0)))","v":1},"Air","Carbon sequestration","Balthazar, V., Vanacker, V., Molina, A., Lambin, E.F. (2015). Impacts of forest cover change on ecosystem services in high Andean mountains Ecological Indicators 48: 63-75",2015,"The conversion of grasslands to pine plantations contributes to a loss of the total carbon stock, a loss of nitrogen, acidification and salinization of soils, and a decrease in soil\nwater content and water retention capacities."]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B112='Bio Search'!$B$4,1,0)))","v":1},"Soil","Food","Bird, S. B., et al. (2003). PONTBREN: Effects of tree planting on agricultural soils and their functions, CEH Report.",2003]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B113='Bio Search'!$B$4,1,0)))","v":1},"Timber","Industrial production","Gauthier,S., Bernier, P, Kuuluvainen, T.,  Shvidenko, A. Z., Schepaschenko, D.G. (2015). Boreal forest health and global change. Science 349(6250): 819-822 ",2015,"The paper focuses on forests' health (resilience) to disturbance generated by global change. Despite a variety of ecosystem services are considered, it particularly focuses on wood production and climate regulation as two main services provided by woodlands"]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B114='Bio Search'!$B$4,1,0)))","v":1},"Timber","Industrial production","Köhl, M., Lasco, R.,Cifuentes, M., Jonsson, O, Korhonen, KT., Mundhenk, P., Navar, J. J., Stinson, G., (2015). Changes in forest production, biomass and carbon: Results from the 2015 UN FAO Global Forest Resource Assessment. Forest Ecology and Management 352: 21–34",2015,"The paper explores the change over time of two services provided by forests: wood production and carbon sequestration. However, it does not provide information on the biophysical pathway leading to the supply of the two ecosystem services and goods."]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B115='Bio Search'!$B$4,1,0)))","v":1},"Timber","Industrial production","Sing, L., Metzger, M.J.,, Paterson, J.S., Ray, D. (2017). A review of the effects of forest management intensity on ecosystem services for northern European temperate forests with a focus on the UK. Forestry 00: 1 – 14",2017,"A shift to close-to-nature forestry has been shown to increase variation in log size, which may impact on timber processing without significantly affecting timber quality. At the same time, the effects created under shelterwood systems may negatively affect timber quality (Macdonald et al.,2010). "]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B116='Bio Search'!$B$4,1,0)))","v":1},"Timber","Industrial production","Sloan, S., Sayer, J.A. (2015). Forest Resources Assessment of 2015 shows positive global trends but forest loss and degradation persist in poor tropical countries. Forest Ecology and Management 352: 134–145",2015,"The paper reviews the historical change in the forest land cover at global scale and it discusses implications for the provision of various ecosystem services, including industrial timber production and fuelwood, whiose demand have steadily increased at global level."]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B117='Bio Search'!$B$4,1,0)))","v":1},"Timber","Plant health","Macpherson, M.F., Kleczkowski, A., Healey, J.R., Hanley, N. (2016). The Effects of Disease on Optimal Forest Rotation: A Generalisable Analytical Framework. Environmental and Resource Economics https://doi.org/10.1007/s10640-016-0077-4",2016,"The paper presents a bioeconomic model showing how the presence of pests and diseases can affect optimal decisions of plant harvesting and rotation. Pests and tree diseases can affect forests by: 1) reducing the tree growth, 2) increasing the susceptibility to secondary infection, 3) increasing the proportion of trees that are dead and subject to tree decay."]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B118='Bio Search'!$B$4,1,0)))","v":1},"Views",null,"Garrod, G. (2002). Social & Environmental Benefits of Forestry Phase 2 : Landscape Benefits, Report to the Forestry Commission, Edinburgh.",2002]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B119='Bio Search'!$B$4,1,0)))","v":1},"Water_Quality","Food - agriculture and fisheries","Bienkowski, B. (2015) “Can Planting Trees Make Up for Warming River Water?\"  Scientific American July",2015]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B120='Bio Search'!$B$4,1,0)))","v":1},"Water_Quality",null,"Nisbet, T.R. and Evans, C. D. (2014) Forestry and surface water acidification, Research Note FCRN016, Forestry Commission, UK.",2014]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B121='Bio Search'!$B$4,1,0)))","v":1},"Water_Quality",null,"Bateman, I.J., Day, B.H., Agarwala, M., Bacon, P., Baďura, T., Binner, A., De-Gol, A.J., Ditchburn, B., Dugdale, S., Emmett, B., Ferrini, S., Fezzi, C., Harwood, A., Hillier, J., Hiscock, K., Hulme, M., Jackson, B., Lovett, A.,  Mackie, E., Matthews, R., Sen, A., Siriwardena, G., Smith, P., Snowdon, P., Sünnenberg, G., Vetter, S. and  Vinjili, S. (2014) Economic value of ecosystem services, Final Report from Work Package Report 3 to the UK National Ecosystem Assessment – Follow-On programme, Defra, London (available at http://randd.defra.gov.uk) and  UNEP-WCMC (http://uknea.unep-wcmc.org). ",2014]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B122='Bio Search'!$B$4,1,0)))","v":1},"Water_Quality",null,"Armson, D., et al. (2013). \"The effect of street trees and amenity grass on urban surface water runoff in Manchester, UK.\" Urban Forestry & Urban Greening 12(3): 282-286.",2013]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B123='Bio Search'!$B$4,1,0)))","v":1},"Water_Quality",null,"Rogers, K., et al. (2012). Green Benefits in Victoria Business Improvement District: An analysis of the benefits of trees and other green assets in the Victoria Business Improvement District.",2012]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B124='Bio Search'!$B$4,1,0)))","v":1},"Water_Quality",null,"Gagkas, Z., et al. (2011). \"Assessing the effect of broadleaf woodland expansion on acidic dry deposition and streamwater acidification.\" Forest Ecology and Management 262(8): 1434-1442.",2011]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B125='Bio Search'!$B$4,1,0)))","v":1},"Water_Quality",null,"Nisbet, T. R., et al. (2011). Woodland for Water: Woodland measures for meeting Water Framework Directive objectives, Forest Research Monograph, 4, Forest Research, Surrey: 156.",2011]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B126='Bio Search'!$B$4,1,0)))","v":1},"Water_Quality",null,"Quine, C. P., et al. (2011). UK National Ecosystem Assessment, Chapter 8: Woodlands, UNEP-WCMC, Cambridge.",2011]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B127='Bio Search'!$B$4,1,0)))","v":1},"Water_Quality",null,"Broadmeadow, S. B., Jones, J. G., Langford, T. E. L., Shaw, P. J., & Nisbet, T. R. (2011). The influence of riparian shade on lowland stream water temperatures in southern England and their viability for brown trout. River Research and Applications, 27(2), 226-237.",2011]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B128='Bio Search'!$B$4,1,0)))","v":1},"Water_Quality",null,"Bateman, I.J., Brouwer, R., Ferrini, S., Schaafsma, M., Barton, D.N., Dubgaard, A., Hasler, B., Hime, S., Liekens, I., Navrud, S., De Nocker, L., Ščeponavičiūtė, R., and Semėnienė, D. (2011) Making benefit transfers work: Deriving and testing principles for value transfers for similar and dissimilar sites using a case study of the non-market benefits of water quality improvements across Europe, Environmental and Resource Economics, 50(3): 356-387, DOI 10.1007/s10640-011-9476-8. ",2011]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B129='Bio Search'!$B$4,1,0)))","v":1},"Water_Quality",null,"McKay, H. (ed.) (2011) Short Rotation Forestry: review of growth and environmental impacts. Forest Research Monograph, 2, Forest Research, Surrey, 212pp.",2011]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B130='Bio Search'!$B$4,1,0)))","v":1},"Water_Quality",null,"Bateman, I.J., Mace, G.M., Fezzi, C., Atkinson, G. and Turner, R.K. (2011) Economic analysis for ecosystem service assessments, Environmental and Resource Economics, 48(2): 177-218, DOI 10.1007/s10640-010-9418-x.",2011]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B131='Bio Search'!$B$4,1,0)))","v":1},"Water_Quality",null,"Hutchins, M. G., et al. (2010). \"Which offers more scope to suppress river phytoplankton blooms: Reducing nutrient pollution or riparian shading?\" Science of the Total Environment 408(21): 5065-5077.",2010]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B132='Bio Search'!$B$4,1,0)))","v":1},"Water_Quality",null,"Brown, L. E., et al. (2010). \"A comparison of stream water temperature regimes from open and afforested moorland, Yorkshire Dales, northern England.\" Hydrological Processes 24(22): 3206-3218.",2010]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B133='Bio Search'!$B$4,1,0)))","v":1},"Water_Quality",null,"Walker, B., Pearson, L., Harris, M., Maler, K. G., Li, C. Z., Biggs, R., & Baynes, T. (2010). Incorporating resilience in the assessment of inclusive wealth: an example from South East Australia. Environmental and Resource Economics, 45(2), 183-202.",2010]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B134='Bio Search'!$B$4,1,0)))","v":1},"Water_Quality",null,"Yamada, T., Logsdon, S. D., Tomer, M. D., & Burkart, M. R. (2007). Groundwater nitrate following installation of a vegetated riparian buffer. Science of the Total Environment, 385(1), 297-309.",2007]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B135='Bio Search'!$B$4,1,0)))","v":1},"Water_Quality",null,"Freer-Smith, P. H., et al. (2005). \"Deposition velocities to Sorbus aria, Acer campestre, Populus deltoides X trichocarpa 'Beaupre', Pinus nigra and X Cupressocyparis leylandii for coarse, fine and ultra-fine particles in the urban environment.\" Environmental Pollution 133(1): 157-167.",2005]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B136='Bio Search'!$B$4,1,0)))","v":1},"Water_Quality",null,"Nisbet, T., et al. (2004). A guide to using woodland for sediment control, Forest Research, Farnham, UK.",2004]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B137='Bio Search'!$B$4,1,0)))","v":1},"Water_Quality",null,"Vellidis, G., Lowrance, R., Gay, P., & Hubbard, R. K. (2003). Nutrient transport in a restored riparian wetland. Journal of Environmental Quality, 32(2), 711-726.",2003]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B138='Bio Search'!$B$4,1,0)))","v":1},"Water_Quality","Drinking water","Baral, H., Guariguata, M. R., Keenan, R.J. (2016). A proposed framework for assessing ecosystem services from planted forests. Ecosystem Services 22: 260-268.",2016,"Conceptual paper on the benefits of planted forests: it focuses on the filtering, retention and storage of freshwater available for human consumption or industrial use (e.g., Baillie and Neary, 2015)"]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B139='Bio Search'!$B$4,1,0)))","v":1},"Water_Quality","Drinking water","Carling, P. A., et al. (2001). \"Reducing sediment inputs to Scottish streams: a review of the efficacy of soil conservation practices in upland forestry.\" Science of the Total Environment 265(1-3): 209-227.",2001]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B140='Bio Search'!$B$4,1,0)))","v":1},"Water_quality","Drinking water","Seidl, R., Spies, T.A., Peterson, D.L., Stephens, S.L., Hicke, J.A. (2016). Searching for resilience: addressing the impacts of changing disturbance regimes on forest ecosystem services. Journal of Applied Ecology 2016, 53: 120–129",2016,"The paper focuses on forest resilience and the impacts of this on ecosystem services provision. Freshwater supply, an important provisioning service, can  be  negatively  affected  by  increasing  disturbance. Disturbances can lead to increased soil erosion and to leaching of nitrate, which reduce water quality (Mikkelson et al. 2013). \n\n"]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B141='Bio Search'!$B$4,1,0)))","v":1},"Water_Quality","Hydropower","Carling, P. A., et al. (2001). \"Reducing sediment inputs to Scottish streams: a review of the efficacy of soil conservation practices in upland forestry.\" Science of the Total Environment 265(1-3): 209-227.",2001]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B142='Bio Search'!$B$4,1,0)))","v":1},"Water_Quality","Industrial production","Carling, P. A., et al. (2001). \"Reducing sediment inputs to Scottish streams: a review of the efficacy of soil conservation practices in upland forestry.\" Science of the Total Environment 265(1-3): 209-227.",2001]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B143='Bio Search'!$B$4,1,0)))","v":1},"Water_Quality",null,"Nisbet, T. R. (2001). \"The role of forest management in controlling diffuse pollution in UK forestry.\" Forest Ecology and Management 143(1-3): 215-226.",2001]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B144='Bio Search'!$B$4,1,0)))","v":1},"Water_Quality","Hydropower","Halcrow Water, (2001) Sedimentation in Storage Reservoirs Report for the Department of the Environment",2001]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B145='Bio Search'!$B$4,1,0)))","v":1},"Water_Quality",null,"Lowrance, R., et al. (1997). \"Water quality functions of Riparian forest buffers in Chesapeake Bay watersheds.\" Environmental management 21(5): 687-712.",1997]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B146='Bio Search'!$B$4,1,0)))","v":1},"Water_Quality",null,"Lowrance, R., et al. (1995). \"Denitrification in a Restored Riparian Forest Wetland.\" Journal of Environmental Quality 24(5): 808-815.",1995]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B147='Bio Search'!$B$4,1,0)))","v":1},"Water_Quality",null,"Gilliam, J. W. (1994). \"Riparian Wetlands and Water-Quality.\" Journal of Environmental Quality 23(5): 896-900.",1994]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B148='Bio Search'!$B$4,1,0)))","v":1},"Water_Quality",null,"Shalhevet, J. (1994) Using water of marginal quality for crop production: major issues, Agricultural Water Management, Volume 25, Issue 3, Pages 233-269, http://dx.doi.org/10.1016/0378-3774(94)90063-9.",1994]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B149='Bio Search'!$B$4,1,0)))","v":1},"Water_Quality",null,"Lowrance, R., et al. (1984). \"Riparian Forests as Nutrient Filters in Agricultural Watersheds.\" Bioscience 34(6): 374-377.",1984]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B150='Bio Search'!$B$4,1,0)))","v":1},"Water_Quality",null,"Pérez-Silos, I. (2017). Assessing the effectiveness of woodland creation for reducing agricultural diffuse pollution - developing value ranges to create look-up tables. Short term scientific mission scientific report.",2017,"The report explores the effectiveness of riparian woodlands in reducing the concentration of various pollutants in water (including suspended solids/sediments, nitrates, ammonium, phosphate, atrazine (pesticide)). The report summarizes available evidence contained in 61 papers spanning from 1973 to 2017."]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B151='Bio Search'!$B$4,1,0)))","v":1},"Water_Quality","Recreation","Carling, P. A., et al. (2001). \"Reducing sediment inputs to Scottish streams: a review of the efficacy of soil conservation practices in upland forestry.\" Science of the Total Environment 265(1-3): 209-227.",2001]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B152='Bio Search'!$B$4,1,0)))","v":1},"Water_Quantity","Industrial production","Byers, E. A., Qadrdan, M., Leathard, A., Alderson, D., Hall, J. W., Amezaga, J. M., Tran, M., Kilsby, C.G., & Chaudry, M. (2015). Cooling water for Britain’s future electricity supply. Proceedings of the Institution of Civil Engineers–Energy, 168(3), 188-204.",2015]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B153='Bio Search'!$B$4,1,0)))","v":1},"Water_Quantity","Industrial production","Byers, E. A., Hall, J. W., & Amezaga, J. M. (2014). Electricity generation and cooling water use: UK pathways to 2050. Global Environmental Change, 25, 16-30.",2014]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B154='Bio Search'!$B$4,1,0)))","v":1},"Water_Quantity","Drinking water","Ellison, D., N Futter, M., & Bishop, K. (2012). On the forest cover–water yield debate: from demand‐to supply‐side thinking. Global Change Biology, 18(3), 806-820",2012]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B155='Bio Search'!$B$4,1,0)))","v":1},"Water_Quantity","Industrial production","Ellison, D., N Futter, M., & Bishop, K. (2012). On the forest cover–water yield debate: from demand‐to supply‐side thinking. Global Change Biology, 18(3), 806-820",2012]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B156='Bio Search'!$B$4,1,0)))","v":1},"Water_Quantity","Recreation","Ellison, D., N Futter, M., & Bishop, K. (2012). On the forest cover–water yield debate: from demand‐to supply‐side thinking. Global Change Biology, 18(3), 806-820",2012]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B157='Bio Search'!$B$4,1,0)))","v":1},"Water_Quantity","Flood alleviation","Van Dijk, A. I., et al., (2009) Forest–flood relation still tenuous–comment on ‘Global evidence that deforestation amplifies flood risk and severity in the developing world’, Global Change Biology, 15(1), 110-115.",2009]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B158='Bio Search'!$B$4,1,0)))","v":1},"Water_Quantity","Flood alleviation","Balthazar, V., Vanacker, V., Molina, A., Lambin, E.F. (2015). Impacts of forest cover change on ecosystem services in high Andean mountains Ecological Indicators 48: 63-75",2015,"Compared to grassland, pine plantations are characterised by a higher evotranspiration and lower soil water storage capacity. This has impacts on the water balance and flow discharge."]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B159='Bio Search'!$B$4,1,0)))","v":1},"Water_Quantity","Flood alleviation","Baral, H., Guariguata, M. R., Keenan, R.J. (2016). A proposed framework for assessing ecosystem services from planted forests. Ecosystem Services 22: 260-268.",2016,"Conceptual paper on the benefits of planted forests: retention and storage enhances water availability for people"]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B160='Bio Search'!$B$4,1,0)))","v":1},"Water_Quantity","Flood alleviation","Dixon, G. and Pettit, A. (2017). Flood management and woodland creation - Southwell Case Study. Hydraulic modelling and economic appraisal report. Report prepared for the Forestry Commission ",2017,"The study has investigated the impact of significant changes in vegetation coverage on catchment hydrological processes, such as infiltration and runoff, by taking the case of Southwell (England) as an area of study"]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B161='Bio Search'!$B$4,1,0)))","v":1},"Water_Quantity","Flood alleviation","Calder, I. R., et al. (2008). Woodland actions for biodiversity and their role in water management, The Woodlands Trust, Lincolnshire: 24.",2008]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B162='Bio Search'!$B$4,1,0)))","v":1},"Water_quantity","Flood alleviation","Seidl, R., Spies, T.A., Peterson, D.L., Stephens, S.L., Hicke, J.A. (2016). Searching for resilience: addressing the impacts of changing disturbance regimes on forest ecosystem services. Journal of Applied Ecology 2016, 53: 120–129",2016,"The paper focuses on forest resilience and the impacts of this on ecosystem services provision. Forests provide an important service to society by being a natural infrastructure against natural hazards such as flooding and snow avalanches. Disturbances diminish the buffering effect of forests on water runoff and provide reduced long-term protection against the initiation and flow of snow avalanches (Zurbriggen et al. 2014)."]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B163='Bio Search'!$B$4,1,0)))","v":1},"Water_Quantity","Flood alleviation","Stovin, V. R., et al. (2008). \"Street Trees and Stormwater Management.\" Arboricultural Journal 30(4): 297-310.",2008]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B164='Bio Search'!$B$4,1,0)))","v":1},"Water_Quantity","Flood alleviation","Wheater, H. S., et al. (2008). Impacts of upland land management on flood risk: multi-scale modelling methodology and results from the Pontbren experiment, FRMRC Research Report UR 16, Imperial College & CEH Bangor: 163.",2008]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B165='Bio Search'!$B$4,1,0)))","v":1},"Water_Quantity","Flood alleviation","Thomas, H. and T. R. Nisbet (2007). \"An assessment of the impact of floodplain woodland on flood flows.\" Water and Environment Journal 21(2): 114-126.",2007]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B166='Bio Search'!$B$4,1,0)))","v":1},"Water_Quantity","Flood alleviation","Calder, I. R. and B. Aylward (2006). Forest and floods: Moving to an evidence-based approach to watershed and integrated flood management.",2006]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B167='Bio Search'!$B$4,1,0)))","v":1},"Water_Quantity","Flood alleviation","Jeffiries, R., et al. (2003). \"The influence of vegetation and organic debris on flood-plain sediment dynamics: case study of a low-order stream in the New Forest, England.\" Geomorphology 51(1-3): 61-80.",2003]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B168='Bio Search'!$B$4,1,0)))","v":1},"Water_Quantity","Flood alleviation","Robinson, M., et al. (2003). \"Studies of the impact of forests on peak flows and baseflows: a European perspective.\" Forest Ecology and Management 186(1–3): 85-97.",2003]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B169='Bio Search'!$B$4,1,0)))","v":1},"Water_Quantity","Food - agriculture and fisheries","Kijne, J. W. & Barker, R. & Molden. D., (2003)\n\"Water productivity in agriculture: limits and opportunities for improvement,\"\nIWMI Books, Reports H032631, International Water Management Institute.\n",2003]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B170='Bio Search'!$B$4,1,0)))","v":1},null,null,"Jacobs, D.F., Oliet, J.A., Aronson, J., Bolte, A., Bullock, J.M., Donoso, P.J., Landhausser, S.M.,  Madsen, P., Peng, S., Rey-Benayas, J-M., Weber, J.C (2015). Restoring forests: What constitutes success in the twenty-first century? New Forests 46: 601-614",2015,"The paper does not focus on any ecosystem service or good in specific. It focuses on forest restoration methods more broadly"]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B171='Bio Search'!$B$4,1,0)))","v":1},null,null,"MacDicken, K.G. (2015). Global Forest Resources Assessment 2015: What, why and how? Forest Ecology and Management 352: 3–8",2015]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B172='Bio Search'!$B$4,1,0)))","v":1},null,null,"Puettmann, K.J , McG Wilson, S., Baker, S.C., Donoso, P.J., Drössler, L., Amente, G., Harvey, B.D., Knoke, T., Lu, Y., Nocentini, S., Putz, F.E., Yoshida, T., Bauhus, J. (2015). Silvicultural alternatives to conventional even-aged forest management - what limits global adoption? Forest Ecosystems: 2:8",2015,"Review of forest management practices, which focuses not only on wood production and logging but aims to provide a wider range of societal and ecological goals. The review touches upon various ecosystem services  resulting from different management regimes, but is not focused on explainnig the biophysical pathway through which ecosystem services are generated."]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B173='Bio Search'!$B$4,1,0)))","v":1},"Water_Quantity","Flood alleviation","Hughes, F. M. R., et al. (2001). \"The importance of different scale processes for the restoration of floodplain woodlands.\" Regulated Rivers-Research & Management 17(4-5): 325-345.",2001]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B174='Bio Search'!$B$4,1,0)))","v":1},"Water_Quantity","Food - agriculture and fisheries","MacKerron, D.K.L., (1993) The benefits to be gained from irrigation. In: Bailey, R.J. ed. Irrigating potatoes. Cranfield Press, Cranfield, 1-11. UK Irrigation Association Technical Monograph no. 4.",1993]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B175='Bio Search'!$B$4,1,0)))","v":1},"Water_Quantity",null,"Nisbet, T., Roe, P., Marrington, S., Thomas, H., Broadmeadow, S., & Valatin, G., (2015) Slowing the flow at Pickering, Final Report: Phase II, Defra FCERM Multi-objective Flood Management Demonstration project, London, UK.",2015]
[{"$f":"(IF(('Bio Search'!$B$4)=\"All\",1,IF(B176='Bio Search'!$B$4,1,0)))","v":1},"Flora_Fauna",null,"MacLeod, A. L. A. N. (2007). The benefits and costs of specific phytosanitary campaigns in the UK. New Approaches to the Economics of Plant Health. Ed. by Oude Lansink, AGJM Dordrecht: Springer, 163-177.",2007]

{"sheet":"References","index":9,"n_rows":285,"n_cols":7,"rows_kept":285,"cut":false,"hidden":true,"merged":[]}
["Ref Number","Reference","Abstract","FEGS - Production function - Beneficiary","Urban (FEGS - production function - beneficiary)","General (benefit flow not defined) or intermediate good or service","Biophysical science literature"]
[1,"Abildtrup, J., et al. (2013). \"The effect of forest land use on the cost of drinking water supply: A spatial econometric analysis.\" Ecological Economics 92: 126-136.","Forest land use is often associated with the protection of water resources from contamination and the reduced cost of drinking water supply. This study attempted to measure the value of the forest on the quality of water resources from a contingent market, namely drinking water supply, by estimating variations in drinking water costs as a function of variations in land uses. Spatial correlations were taken into account because of the use of different geographical scales (i.e., water service area and land uses) and the potential existence of organizational and technological spillovers between water services. We found a significant negative effect of forest land use on water costs. We found no evidence of spatial spillovers concerning the management regime but did find that factors related to the scarcity of resources in neighboring water services have an impact on water costs. (C) 2013 Elsevier B.V. All rights reserved.","Water quality - Drinking Water - Water Companies"]
[2,"Abildtrup, J., et al. (2014). \"Combining RP and SP data while accounting for large choice sets and travel mode – an application to forest recreation.\" Journal of Environmental Economics and Policy 4(2): 177-201.","This paper analyses the use of forests for recreational purposes in Lorraine, France, a region with many forests and easy access for recreational users. This implies that residents in Lorraine can choose between a large set of forests if they decide to visit a forest. The abundance of forests in Lorraine makes identification of the visited forests difficult. To facilitate identification of forests actually visited, we have incorporated an interactive map in a Web-based survey intended to include both revealed and stated preference data. We compare different sampling schemes to define the choice set used for site selection modelling when the actual choice set considered is potentially large and unknown to the analyst. Easy access to forests also implies that around half of the visitors walk or bike to the forest. We apply an error-component mixed-logit model to simultaneously model the travel mode decision and the site selection decision and to combine revealed and stated preference data. Finally, the effect on the willingness-to-pay of changes in forest quality and access is evaluated based on alternative choice set specifications, model specifications and data sources (revealed and stated preference data).","Water quality - Recreation - Recreational users\nWater quantity - Recreation - Recreational users\nFlora, fauna and fungi - Recreation - Recreational users\nPresence of environment - Recreation - Recreational users\nSound and scent - Recreation - Recreational users\nViews - Recreation - Recreational users\nTimber and fiber - Recreation - Recreational users"]
[3,"ADAS and Eftec (2014). The Feasibility of Valuing Woodlands’ Contribution to Regulating Water Quality and Quantity, Report to Forestry Commission, Edinburgh.","This report by Adas-Eftec reviews a range of models and ecological, forestry and economic evidence on woodlands’ contribution to regulating water quality and quantity and proposes a number of options for conducting a valuation study on these benefits.",null,null,"Water quality\nWater quantity"]
[4,"Akbari, H. (2002). \"Shade trees reduce building energy use and CO2 emissions from power plants.\" Environmental Pollution 116: S119-S126.","Urban shade trees offer significant benefits in reducing building air-conditioning demand and improving urban air quality by reducing smog. The savings associated with these benefits vary by climate region and can be up to $200 per tree. The cost of planting trees and maintaining them can vary from $10 to $500 per tree. Tree-planting programs can be designed to have lower costs so that they offer potential savings to communities that plant trees. Our calculations suggest that urban trees play a major role in sequestering CO, and thereby delay global warming. We estimate that a tree planted in Los Angeles avoids the combustion of 18 kg of carbon annually, even though it sequesters only 4.5-11 kg (as it would if growing in a forest). In this sense, one shade tree in Los Angeles is equivalent to three to five forest trees. In a recent analysis for Baton Rouge, Sacramento, and Salt Lake City, we estimated that planting an average of four shade trees per house (each with a top view cross section of 50 m(2)) would lead to an annual reduction in carbon emissions from power plants of 16,000, 41,000, and 9000 t, respectively (the per-tree reduction in carbon emissions is about 10-11 kg per year). These reductions only account for the direct reduction in the net cooling- and heating-energy use of buildings. Once the impact of the community cooling is included, these savings are increased by at least 25%. (C) 2001 Published by Elsevier Science Ltd. All rights reserved.",null,"Air - Housing services - Residential property owners\nAir - Physical health - Population\nAir - Phsical health - Health care providers"]
[5,"Akbari, H., et al. (1997). \"Peak power and cooling energy savings of shade trees.\" Energy and Buildings 25(2): 139-148.","In summer of 1992, we monitored peak power and cooling energy savings from shade trees in two houses in Sacramento, CA. The collected data include air-conditioning electricity use, indoor and outdoor dry bulb temperatures and humidities, roof and ceiling surface temperatures, inside and outside wall temperatures, insolation, and wind speed and direction. Shade trees at the two monitored houses yielded seasonal cooling energy savings of 30%, corresponding to an average daily savings of 3.6 and 4.8 kWh/d. Peak demand savings for the same houses were 0.6 and 0.8 kW (about 27% savings in one house and 42% in the other). The monitored houses were modeled with the DOE-2.1E simulation program. The simulation results underestimated the cooling energy savings and peak power reductions by as much as twofold.",null,null,"Urban shade trees (cost savings)"]
[6,"Alcock, I., et al. (2014). \"Longitudinal Effects on Mental Health of Moving to Greener and Less Green Urban Areas.\" Environmental Science & Technology 48(2): 1247-1255.","Despite growing evidence of public health benefits from urban green space there has been little longitudinal analysis. This study used panel data to explore three different hypotheses about how moving to greener or less green areas may affect mental health over time. The samples were participants in the British Household Panel Survey with mental health data (General Health Questionnaire scores). for five consecutive years, and who relocated to a different residential area between the second and third years (n = 1064; observations = 5320). Fixed-effects analyses controlled for time-invariant individual level heterogeneity and other area and individual level effects. Compared to premove mental health scores, individuals who moved to greener areas (n = 594) had significantly better mental health in all three postmove years (P = .015; P = .016; P = .008), supporting a \"shifting baseline\" hypothesis. Individuals who moved to less green areas (n = 470) showed significantly worse mental health in the year preceding the move (P = .031) but returned to baseline in the postmove years. Moving to greener urban areas was associated with sustained mental health improvements, suggesting that environmental policies to increase urban green space may have sustainable public health benefits.",null,null,null,"Mental health effects from urban green spaces"]
[7,"Alonso, R., et al. (2011). \"Modelling the influence of peri-urban trees in the air quality of Madrid region (Spain).\" Environmental Pollution 159(8-9): 2138-2147.","Tropospheric ozone (O-3) is considered one of the most important air pollutants affecting human health. The role of pen-urban vegetation in modifying O-3 concentrations has been analyzed in the Madrid region (Spain) using the V200603par-rc1 version of the CHIMERE air quality model. The 3.7 version of the MM5 meteorological model was used to provide meteorological input data to the CHIMERE. The emissions were derived from the EMEP database for 2003. Land use data and the stomatal conductance model included in CHIMERE were modified according to the latest information available for the study area. Two cases were considered for the period April-September 2003: (1) actual land use and (2) a fictitious scenario where El Pardo pen-urban forest was converted to bare-soil. The results show that El Pardo forest constitutes a sink of O-3 since removing this green area increased O-3 levels over the modified area and over down-wind surrounding areas. (C) 2010 Elsevier Ltd. All rights reserved.",null,null,null,"The effect of peri-urban trees on air quality"]
[8,"Annerstedt, M., et al. (2012). \"Green qualities in the neighbourhood and mental health - results from a longitudinal cohort study in Southern Sweden.\" Bmc Public Health 12.","Background: Poor mental health is a major issue worldwide and causality is complex. For diseases with multifactorial background synergistic effects of person-and place-factors can potentially be preventive. Nature is suggested as one such positive place-factor. In this cohort study we tested the effect of defined green qualities (Serene, Space, Wild, Culture, Lush) in the environment at baseline on mental health at follow-up. We also studied interaction effects on mental health of those place factors and varied person factors (financial stress, living conditions, and physical activity). Methods: Data on person factors were extracted from a longitudinal (years 1999/2000 and 2005) population health survey (n = 24945). The participants were geocoded and linked to data on green qualities from landscape assessments, and stored in the Geographical Information System (GIS). Crude odds ratios (OR) and 95% confidence intervals (CI) were calculated, and multivariate logistic analyses were performed. Results: Mental health was not affected by access to the chosen green qualities, neither in terms of amount nor in terms of any specific quality. However, we found a reduced risk for poor mental health at follow-up among women, through a significant interaction effect between physical activity and access to the qualities Serene or Space. For men the tendencies were similar, though not significant. Regarding the other three green qualities, as well as amount of qualities, no statistically certain synergistic effects were found. Likewise, no significant synergies were detected between green qualities and the other person-factors. Only advanced exercise significantly reduced the risk for poor mental health among women, but not for men, compared to physical inactivity. Conclusions: The results do not directly support the hypothesis of a preventive mental health effect by access to the green qualities. However, the additive effect of serene nature to physical activity contributed to better mental health at follow-up. This tendency was equal for both sexes, but statistically significant only for women. Objective landscape assessments may be important in detangling geographic determinants of health. This study stresses the importance of considering interaction effects when dealing with disorders of multifactorial background.",null,null,null,"Mental health effects from urban green spaces"]
[9,"Anthon, S. (2003). The value of urban afforestation: A hedonic pricing case. Recent Accomplishments in Applied Forest Economics Research. F. Helles, N. Strange and L. Wichmann, Springer Netherlands. 74: 81-90.","The Danish forest cover is rather low, only about 12%, and yet it is thoroughly documented that the Danish forests are extensively used for recreation purposes. It is believed, but only rarely documented, that the value of forest externalities is significant. The aim of the present research is to quantify the part of these benefits, which is reflected in property values for houses close to afforestation areas. We use the hedonic pricing method and data from two residential areas to calculate WTP-measures for two afforestation projects. Proximity to afforestation areas is found to have a significant effect on property values, implying considerable willingness-to-pay.",null,"Presence of environment - Housing services - Residential property owners\nPresence of environment - Recreation - Recreational users"]
[10,"Archer, N. A. L., et al. (2013). \"Soil characteristics and landcover relationships on soil hydraulic conductivity at a hillslope scale: A view towards local flood management.\" Journal of Hydrology 497: 208-222.","There are surprisingly few studies in humid temperate forests which provide reliable evidence that soil permeability is enhanced under forests. This work addresses this research gap through a detailed investigation of permeability on a hillslope in the Eddleston Catchment, Scottish Borders UK, to evaluate the impact of land cover, superficial geology and soil types on permeability using measurements of field saturated hydraulic conductivity (Kfs) supported by detailed topsoil profile descriptions and counting of roots with diameters &gt;2. mm. Kfs was measured at depth 0.04-0.15. m using a constant head well permeameter across four paired landcover sites of adjacent tree and intensely grazed grassland. The measured tree types were: 500-year-old mixed woodland; 180-year-old mixed woodland; 45-year-old Pinus sylvestris plantation; and 180-year-old Salix caprea woodland. The respective paired grids of trees and grassland were compared on similar soil texture and topography. This study highlights the significant impact of broadleaf woodland at a hillslope scale on Kfs in comparison to grassland areas: median Kfs values under 180-year-old S. caprea woodland (8mmh-1), 180-year-old mixed woodland (119mmh-1) and 500-year-old broadleaf woodland (174mmh-1) were found to be respectively 8, 6 and 5 times higher than neighbouring grazed grassland areas on the same superficial geology. Further statistical analysis indicates that such Kfs enhancement is associated with the presence of coarse roots (&gt;2mm diameter) creating conduits for preferential flow and a deeper organic layer in the topsoil profile under woodlands. By contrast the P. sylvestris forest had only slightly higher (42mmh-1), but not statistically different Kfs values, when compared to adjacent pasture (35mmh-1). In the grassland areas, in the absence of course roots, the superficial geology was dominant in accounting for differences in Kfs, with the alluvium floodplain having a significantly lower median Kfs (1mmh-1) than surrounding hillslope sites, which had a range of median Kfs from 21 to 39mmh-1.The data were used to infer areas of runoff generation by comparing Kfs values with modelled 15. min maximum intensity duration rainfall with a 1 in 10. year return period. Infiltration prevailed in the 180- and 500-year-old mixed and broadleaf woodland, whereas some grassland areas and the floodplain were inferred to generate overland flow. The significantly higher Kfs under broadleaf mature forests suggests that planting broadleaf woodlands on hillslopes in clusters or as shelterbelts within grasslands would provide areas of increased capacity for rainfall infiltration and arrest runoff generation during flood-producing storm events. © 2013 Elsevier B.V.",null,null,null,"Soil characteristics and land cover for flood management"]
[157,"Areal, F. J. and Macloed, A. (2007) \"Estimating the economic value of trees at risk from a quarantine disease\" New approaches to the economics of plant health, volume 200, Wageningen UR Frontis Series","The total economic value of tree species susceptible to Phytophthora ramorum, the causative agent of sudden oak death, was investigated in North Yorkshire. The results of a dichotomous-choice contingent-valuation study, using a ‘follow-up’ dichotomous-choice question, are presented. Two approaches were used in order to obtain the mean willingness to pay (WTP): a bivariate probit model that provides information about the crucial variables that affect the WTP, and the maximization of a loglikelihood function that accounts for a double-bounded bid. Previous studies suggest that the second approach produces more accurate estimates. Using both methods the mean WTP was estimated to be approximately £55 per annum per individual taxpayer over five years. This is similar to values placed by the public on trees susceptible to P. ramorum in California, USA","Plant health, CV study\nRecreation\nNon-use value"]
[11,"Armson, D., et al. (2013). \"The effect of street trees and amenity grass on urban surface water runoff in Manchester, UK.\" Urban Forestry & Urban Greening 12(3): 282-286.","It is well known that the process of urbanization alters the hydrological performance of an area, reducing the ability of urban areas to cope with heavy rainfall events. Previous investigations into the role that trees can play in reducing surface runoff have suggested they have low impact at a city wide scale, though these studies have often only considered the interception value of trees. This study assessed the impact of trees upon urban surface water runoff by measuring the runoff from 9 m(2) plots covered by grass, asphalt, and asphalt with a tree planted in the centre. It was found that, while grass almost totally eliminated surface runoff, trees and their associated tree pits, reduced runoff from asphalt by as much as 62%. The reduction was more than interception alone could have produced, and relative to the canopy area was much more than estimated by many previous studies. This was probably because of infiltration into the tree pit, which would considerably increase the value of urban trees in reducing surface water runoff. (C) 2013 Elsevier GmbH. All rights reserved.",null,null,null,"The effect of urban street trees of surface water runoff"]
[15,"Bateman, I. J., and A. A. Lovett (2000): \"Estimating and Valuing the Carbon Sequestered in Softwood and Hardwood Trees, Timber Products and Forest Soils in Wales,\" Journal of Environmental Management, 60, 301-323","Models of carbon storage in softwood and hardwood trees and forest soils and its emission from timber products and waste are developed and integrated with data on storage benefits to yield estimates of the value of the net carbon flux generated by afforestation. The long-term nature of the processes under consideration and the impact of varying the discount rate are explicitly incorporated within the model. A geographical information system (GIS) is used to apply carbon sequestration models to data on tree growth and soil type distribution for a large study area (the entire country of Wales). The major findings are: (1) all three elements under analysis (carbon sequestration in livewood, release from different products and waste, and storage or emission from soils) play a vital role in determining overall carbon flux; (2) woodland management has a substantial impact upon carbon storage in livewood however the choice of discount rate exerts the largest overall influence upon estimated carbon flux values; (3) timber growth rates (yield class) also have a major impact upon values; (4) tree species does affect storage values, however this is less important than the other factors listed above; (5) non-peat soils generally sequester relatively low levels of carbon. Planting upon peat soils can result in very substantial emissions of carbon which exceed the level of storage in livewood.",null,null,"Air quality (carbon)"]
[13,"Bateman, I. J., et al. (1996). \"Household Willingness to Pay and Farmers' Willingness to Accept Compensation for Establishing a Recreational Woodland.\" Journal of Environmental Planning and Management 39(1): 21-43.","The UK Forestry Commission's recently implemented Community Woodland scheme sets out to provide new recreational woodland facilities near to towns and cities where such resources are in short supply. This study examines household willingness to pay (WTP) for such a proposed woodland by means of the contingent valuation (CV) method. A stratified sample of 325 households in Wantage, Oxfordshire, was interviewed and asked to state both their annual and per-visit WTP. Analysis of a number of recognized potential biases suggested that the results obtained must be treated with caution although we argue that the CV provides a useful ballpark indication of preferences. A simultaneous CV survey of farmers' willingness to accept compensation for converting agricultural land into woodland proved to be far more robust, despite a small sample size. We conclude that farmers are more familiar with the concept of assessing potential compensation than are households with estimating hypothetical payments for increased provision of public goods.","Water quality - Recreation - Recreational users\nWater quantity - Recreation - Recreational users\nAir - Recreation - Recreational users\nFlora, fauna and fungi - Recreation - Recreational users\nPresence of environment - Recreation - Recreational users\nSound and scent - Recreation - Recreational users\nViews - Recreation - Recreational users\nSoil - Recreation - Recreational users\nTimber and fiber - Recreation - Recreational users"]
[14,"Bateman, I. J., et al. (1999). \"Developing a methodology for benefit transfers using geographical information systems: Modelling demand for woodland recreation.\" Regional Studies 33(3): 191-205.","This paper develops a methodology for implementing benefit transfers through the medium of a geographical information system. Data from a survey of visitors to a woodland site in eastern England were used to estimate an arrivals function which was then utilized to predict visits to other locations. The validity of this function was tested against actual arrivals at locations in Wales and was found to be a satisfactory estimator of visits. This function was then used to generate predictions of visitor arrivals across Wales to simulate the impact of sites being converted into woodland. The visitor demand map generated by this analysis was then converted to a monetary equivalent using values derived from a cross-study analysis of the existing UK literature on the value of recreational visits to woodland. This final map provides a useful aid to optimal implementation of policies such as the Community Woodland Scheme which aims to target subsidies according to local demand. The paper concludes by highlighting limitations of the analysis and outlining possible extensions.","Water quality - Recreation - Recreational users\nWater quantity - Recreation - Recreational users\nAir - Recreation - Recreational users\nFlora, fauna and fungi - Recreation - Recreational users\nPresence of environment - Recreation - Recreational users\nSound and scent - Recreation - Recreational users\nViews - Recreation - Recreational users\nSoil - Recreation - Recreational users\nTimber and fiber - Recreation - Recreational users"]
[12,"Bateman, I. J., et al. (2014). UK National Ecosystem Assessment Follow-on. Work Package Report 3: Economic value of ecosystem services. UNEP-WCMC, LWEC, UK.",null,"Flora, fauna and fungi - Food Agriculture - Farmers\nTimber and fiber - Timber Commercial - Foresters\nTimber and fiber - Industrial and commerical - Producers\nPresence of environment - Recreation - Recreational users"]
[169,"Bateman, I.J., Brouwer, R., Ferrini, S., Schaafsma, M., Barton, D.N., Dubgaard, A., Hasler, B., Hime, S., Liekens, I., Navrud, S., De Nocker, L., Ščeponavičiūtė, R., and Semėnienė, D. (2011) Making benefit transfers work: Deriving and testing principles for value transfers for similar and dissimilar sites using a case study of the non-market benefits of water quality improvements across Europe, Environmental and Resource Economics, 50(3): 356-387, DOI 10.1007/s10640-011-9476-8. ","We implement a controlled, multi-site experiment to develop and test guidance principles for benefits transfers. These argue that when transferring across relatively similar sites, simple mean value transfers are to be preferred but that when sites are relatively dissimilar then value function transfers will yield lower errors. The paper also provides guidance on the appropriate specification of transferable value functions arguing that these should be developed from theoretical rather than ad-hoc statistical approaches. These principles are tested via a common format valuation study of water quality improvements across five countries. While this provides an idealised tested, results support the above principles and suggest directions for future transfer studies."]
[170,"Bateman, I.J., Day, B.H., Agarwala, M., Bacon, P., Baďura, T., Binner, A., De-Gol, A.J., Ditchburn, B., Dugdale, S., Emmett, B., Ferrini, S., Fezzi, C., Harwood, A., Hillier, J., Hiscock, K., Hulme, M., Jackson, B., Lovett, A.,  Mackie, E., Matthews, R., Sen, A., Siriwardena, G., Smith, P., Snowdon, P., Sünnenberg, G., Vetter, S. and  Vinjili, S. (2014) Economic value of ecosystem services, Final Report from Work Package Report 3 to the UK National Ecosystem Assessment – Follow-On programme, Defra, London (available at http://randd.defra.gov.uk) and  UNEP-WCMC (http://uknea.unep-wcmc.org). "]
[177,"Bateman, I.J., Mace, G.M., Fezzi, C., Atkinson, G. and Turner, R.K. (2011) Economic analysis for ecosystem service assessments, Environmental and Resource Economics, 48(2): 177-218, DOI 10.1007/s10640-010-9418-x.","The paper seeks to contribute to the expanding literature on ecosystem service assessment by considering its integration with economic analyses of such services. Focussing upon analyses for future orientated policy and decision making, we initially consider a single period during which ecological stocks are maintained at sustainable levels. The flow of ecosystems services and their contribution to welfare bearing goods is considered and methods for valuing resultant benefits are reviewed and illustrated via a case study of land use change. We then broaden our time horizon to discuss the treatment of future costs and benefits. Finally we relax our sustainability assumption and consider economic approaches to the incorporation of depleting ecological assets with a particular focus upon stocks which exhibit thresholds below which restoration is compromised."]
[16,"Bealey, W. J., et al. (2007). \"Estimating the reduction of urban PM10 concentrations by trees within an environmental information system for planners.\" Journal of Environmental Management 85(1): 44-58.","The GIS is used to produce valuation maps which can be readily incorporated within cost-benefit analyses regarding optimal locations for conversion of land into forestry.",null,null,null,"The effect of urban trees on air quality (PM)"]
[17,"Beckett, K. P., et al. (1998). \"Urban woodlands: their role in reducing the effects of particulate pollution.\" Environmental Pollution 99(3): 347-360.","In recent years a substantial research effort has focused on the links between particulate air pollution and poor health. As a result the PM10 value has been set as a measure of such pollutants which can directly cause illness. Due to their large leaf areas relative to the ground on which they stand and the physical properties of their surfaces, trees can act as biological filters, removing large numbers of airborne particles and hence improving the quality of air in polluted environments. The role of vegetation and urban woodlands in reducing the effects of particulate pollution is reviewed here. The improvement of urban air quality achieved by establishing more trees in towns and cities is also illustrated. (C) 1998 Elsevier Science Ltd. All rights reserved.",null,null,null,"The effect of urban trees on air quality (PM)"]
[18,"Beckett, K. P., et al. (2000). \"Particulate pollution capture by urban trees: effect of species and windspeed.\" Global Change Biology 6(8): 995-1003.","Particulate pollution is a serious health problem throughout the world, exacerbating a wide range of respiratory and vascular illnesses in urban areas. The use of trees to reduce the effects of these pollutants has been addressed in the literature, but has rarely been quantified. The aim of the present study was to quantify the effectiveness of five tree species-pine (Pinus nigra var. maritima), cypress (x Cupressocyparis leylandii), maple (Acer campestre), whitebeam (Sorbus intermedia), poplar (Populus deltoides x trichocarpa 'Beaupre')-in capturing pollutant particles. This was achieved by exposing them to NaCl droplets of approximately 1 mum diameter at a range of windspeeds in two windtunnels. The deposition velocity (V-g) and particle trapping efficiency (C-p) were calculated from these exposures. In addition, a variable dependent on foliage structure [Stokes number (St)] was correlated with C-p to gauge the effect of tree morphology on particle capture. Maximum C-p values ranged from 2.8% for P. nigra, to 0.12% and 0.06% for P. trichocarpa x deltoides and A. campertre, respectively. The finer, more complex structure of the foliage of the two conifers (P. nigra and C. leylandii) explained their much greater effectiveness at capturing particles. The data presented here will be used to model the effectiveness of tree planting schemes in improving urban air quality by capturing pollutant particles.",null,null,null,"The effect of urban trees on air quality (PM)"]
[19,"Bennett, R., et al. (1995). \"The Value of Footpath Provision in the Countryside: A Case-study of Public Access to Urban-fringe Woodland.\" Journal of Environmental Planning and Management 38(3): 409-418.","This paper presents a case-study of valuation of public access to a woodland site owned by The Crown Estate in Windsor Forest. It supports the view that contingent valuation is an appropriate technique to use for assessing recreational benefits in the countryside and that consistent and useful results can be obtained. The study found that the recreational benefits far outweighed the costs of access provision, thus giving reassurance to the providers that their efforts are worthwhile.","Air - Recreation - Recreational users\nFlora, fauna and fungi - Recreation - Recreational users\nPresence of environment - Recreation - Recreational users\nSound and scent - Recreation - Recreational users\nViews - Recreation - Recreational users\nTimber and fiber - Recreation - Recreational users"]
[178,"Bienkowski, Brian. “Can Planting Trees Make Up for Warming River Water?\"  Scientific American July. 2015"]
[20,"Bird, S. B., et al. (2003). PONTBREN: Effects of tree planting on agricultural soils and their functions, CEH Report.",null,null,null,null,"The effect of trees on soil"]
[21,"Bishop, K. (1992). \"Assessing the benefits of community forests: an evaluation of the recreational use benefits of two urban fringe woodlands.\" Journal of Environmental Planning and Management 35(1): 63-76.","In 1989 the Countryside and Forestry Commissions launched a national programme to create Community Forests on the fringes of major towns and cities in England and Wales. The assumption that such forests will be of benefit to the community at large was tested by means of surveys of two existing multi‐purpose woodlands adjacent to major conurbations. Contingent valuation, travel cost and time cost methods of environmental valuation were used to estimate the existing user benefits of the two woodlands for recreation. The study highlights weaknesses in the travel cost approach when applied to recreational facilities located near urban fringe areas which can be accessed on foot. The results of the two surveys are discussed and compared with similar results for more rural woodlands/ forests. The study suggests that on social grounds at least the concept of Community Forests should be pursued with recreation benefits alone exceeding management costs by a factor of three.","Water quality - Recreation - Recreational users\nWater quantity - Recreation - Recreational users\nAir - Recreation - Recreational users\nFlora, fauna and fungi - Recreation - Recreational users\nPresence of environment - Recreation - Recreational users\nSound and scent - Recreation - Recreational users\nViews - Recreation - Recreational users\nSoil - Recreation - Recreational users\nTimber and fiber - Recreation - Recreational users"]
[22,"Bolund, P. and S. Hunhammar (1999). \"Ecosystem services in urban areas.\" Ecological Economics 29(2): 293-301.","Humanity is increasingly urban, but continues to depend on Nature for its survival. Cities are dependent on the ecosystems beyond the city limits, but also benefit from internal urban ecosystems. The aim of this paper is to analyze the ecosystem services generated by ecosystems within the urban area. 'Ecosystem services' refers to the benefits human populations derive from ecosystems. Seven different urban ecosystems have been identified: street trees; lawns/parks; urban forests; cultivated land wetlands; lakes/sea; and streams. These systems generate a range of ecosystem services. In this paper, six local and direct services relevant for Stockholm are addressed: air filtration, micro climate regulation, noise reduction, rainwater drainage, sewage treatment, and recreational and cultural values. It is concluded that the locally generated ecosystem services have a substantial impact on the quality-of-life in urban areas and should be addressed in land-use planning. (C) 1999 Elsevier Science B.V. All rights reserved.",null,null,"Air quality (urban)\nNoise (urban)\nWater quantity (urban)\nRecreation (urban)"]
[23,"Bowler, D. E., et al. (2010). \"Urban greening to cool towns and cities: A systematic review of the empirical evidence.\" Landscape and Urban Planning 97(3): 147-155.","'Urban greening' has been proposed as one approach to mitigate the human health consequences of increased temperatures resulting from climate change. We used systematic review methodology to evaluate available evidence on whether greening interventions, such as tree planting or the creation of parks or green roofs, affect the air temperature of an urban area. Most studies investigated the air temperature within parks and beneath trees and are broadly supportive that green sites can be cooler than non-green sites. Meta-analysis was used to synthesize data on the cooling effect of parks and results show that, on average, a park was 0.94 degrees C cooler in the day. Studies on multiple parks suggest that larger parks and those with trees could be cooler during the day. However, evidence for the cooling effect of green space is mostly based on observational studies of small numbers of green sites. The impact of specific greening interventions on the wider urban area, and whether the effects are due to greening alone, has yet to be demonstrated. The current evidence base does not allow specific recommendations to be made on how best to incorporate greening into an urban area. Further empirical research is necessary in order to efficiently guide the design and planning of urban green space, and specifically to investigate the importance of the abundance, distribution and type of greening. Any urban greening programme implemented would need to be appropriately designed and monitored to continue to evaluate benefit to human health through reducing temperature. (C) 2010 Elsevier B.V. All rights reserved.",null,null,null,"The effect of urban greening on cooling"]
[25,"Brainard, J., et al. (2003). Social & Environmental Benefits of Forestry Phase 2: Carbon Sequestration Benefits of Woodland, Report to Forestry Commission, Edinburgh.",null,null,null,"Air quality (carbon)"]
[24,"Brainard, J., et al. (2009). \"The social value of carbon sequestered in Great Britain's woodlands.\" Ecological Economics 68(4): 1257-1267.","The economic value of carbon storage associated with British woodland is calculated. Models were developed to estimate C flux associated with live trees, forest floor litter, soils, wood products, harvest, fossil fuel used in manufacturing and C displacement from biofuels and products for representative British plantation species: Sitka spruce (Picea sitchensis) and beech (Fagus sylvatica). Map databases of publicly and privately owned woodlands were compiled for Great Britain. Carbon flux was determined for individual woodland sites, and monetised using candidate parameters for the social discount rate (1, 3, 3.5 or 5%) and social value of carbon (US$109.5, $1, $10 or $17.10/t). A conventional discount function was applied. Final results are expressed as Net Present Values, for the base year 2001, with discounting commencing in 2002. The minimum suggested NPV (discount rate = 3% and social value of carbon = $1) of GB woodlands already existing in 2001 is $82 million, with a further $72 million that might be added by future afforestation. These figures rise dramatically if a discount rate of 1% and social value of sequestered carbon = $109.5/t are assumed. The calculated total value of C stored in British woodland depends significantly on parameter assumptions, especially about appropriate discount rate and social value of sequestered carbon. Crown Copyright © 2008.",null,null,"Air quality (carbon)"]
[26,"Britt, C. and M. Johnson (2008). Trees in towns II: a new survey of urban trees in England and their condition and management, Department for Communities and Local Government; Research for amenity trees 9 edition.","Urban trees have an important role in sustainable communities, providing numerous aesthetic, social, and health benefits. Their importance within urban 'green spaces' has been emphasised by a number of Government reports. This survey was commissioned in 2004 and aims to provide up-to-date information on the national urban tree stock and urban tree management by local authorities in order to inform best practice. It provides up-to-date information on the national urban tree stock and urban tree management by local authorities. It identifies and evaluates trends in the urban tree population since the 1992-93 'Trees in Towns' study. It delivers datasets collected to enable use with appropriate geo-coding and case referencing. It identifies and analyses financial and other resources available to support tree management and other tree activity. It introduces evidence-based approaches and models for the management and maintenance of urban trees.",null,null,null,"The quantity and quality of urban trees"]
[27,"Broadmeadow, M. and R. Matthews (2003). Forests, carbon and climate change, Forestry Commission Information Note 48. Forestry Commission, Edinburgh.","This Information Note outlines how forests in the UK contribute to the carbon cycle on both a local and a global scale. It explains the key terms that are used in discussions of the part played by forests and carbon in global warming and presents some of the facts and figures behind the many complex issues surrounding the subject. The roles played by growing trees and mature woodland, forest soils, harvested wood and wood products in use are discussed and compared. The statistics and supporting interpretation identify the current and potential contribution of UK woodland in mitigating global warming. Information is also provided on carbon management in forests which is relevant to woodland managers and forestry practitioners as well as to those considering involvement in carbon trading and carbon-neutrality schemes.",null,null,null,"The effect of UK forests on carbon levels and climate change"]
[168,"Broadmeadow, S. B., Jones, J. G., Langford, T. E. L., Shaw, P. J., & Nisbet, T. R. (2011). The influence of riparian shade on lowland stream water temperatures in southern England and their viability for brown trout. River Research and Applications, 27(2), 226-237.","Suitable thermal conditions in streams are necessary for fish and predictions of future climate changes infer that water temperatures may regularly exceed tolerable ranges for key species. Riparian woodland is considered as a possible management tool for moderating future thermal conditions in streams for the benefit of fish communities. The spatial and temporal variation of stream water temperature was therefore investigated over 3 years in lowland rivers in the New Forest (southern England) to establish the suitability of the thermal regime for fish in relation to riparian shade in a warm water system. Riparian shade was found to have a marked influence on stream water temperature, particularly in terms of moderating diel temperature variation and limiting the number of days per year that maximum temperatures exceeded published thermal thresholds for brown trout. Expansion of riparian woodland offers potential to prevent water temperature exceeding incipient lethal limits for brown trout and other fish species. A relatively low level of shade (20–40%) was found to be effective in keeping summer temperatures below the incipient lethal limit for brown trout, but ca. 80% shade generally prevented water temperatures exceeding the range reported for optimum growth of brown trout. Higher levels of shade are likely to be necessary to protect temperature-sensitive species from climate warming"]
[28,"Brown, L. E., et al. (2010). \"A comparison of stream water temperature regimes from open and afforested moorland, Yorkshire Dales, northern England.\" Hydrological Processes 24(22): 3206-3218.","Despite the known importance of water temperature for river ecosystems, the thermal regime of streams and rivers can be heavily modified by afforestation. Although the nature of the heat budget affecting streams in forested catchments shows high variability in space and time, most of the studies of stream temperature response to afforestation have lacked replication among streams. This study examined the impacts of coniferous forest plantations on stream water temperature at six sites (three forested and three open moorland) in the Yorkshire Dales, northern England. Our aim was to test the hypothesis that afforestation would alter the thermal regime of streams, leading to reduced year-round thermal variability, and cooler summer/warmer winter water temperatures, relative to streams flowing across open moorland. Data collected from April 2007 to March 2009 showed similar thermal dynamics among all six streams over the study period, although variability in forested streams was markedly lower as expected. Mean and maximum daily water temperatures were significantly higher in open moorland streams for much of the year but while some forested streams were warmer than individual moorland streams during winter months (November to February), there was considerable overlap in water temperature between moorland and forest streams. Most stream temperature records showed evidence of low/no winter flow and freezing. These results contrast with many previous studies that have reported warmer temperatures in forested versus open moorland streams during winter, a finding that most likely reflects site-specific hydrological, geomorphological and climatological influences on water temperature in addition to afforestation. This study demonstrates the need for replication of hydrological monitoring when examining the effects of basin-scale management practices and provides further evidence for changes in stream thermal regime following afforestation, a practice that is likely to increase in future due to growing demands for increased forest cover in the UK uplands. Copyright (C) 2010 John Wiley & Sons, Ltd.",null,null,null,"The effect of affortestation on water quality (temperature)"]
[30,"Bullock, C. H. and J. Kay (1997). \"Preservation and Change in the Upland Landscape: The Public Benefits of Grazing Management.\" Journal of Environmental Planning and Management 40(3): 315-334.","A contingent valuation survey was undertaken to estimate the public benefits of landscapechanges that could arise from reductions in grazing levels using the example of the Central Southern Uplands of Scotland. A dichotomous choice with continuous follow-up format was used to quantify the environmentalbenefit in terms of the willingness to pay of the general public and visitors. The paper discusses the merits of this format and the evidence of starting-point bias. In addition, the results are compared with the preferences of locals and interest groups as expressed through focus group sessions and subsets of the survey. A strong preference for more tree cover was evident, a landscape feature not well represented in the current landscape.","Presence of environment - Non-use production - People who care\nPresence of environment - Recreation - Recreational users"]
[29,"Bullock, C., et al. (2014). \"Realising the ecosystem-service value of native woodland in Ireland.\" New Zealand Journal of Forestry Science 44(Suppl 1): S4.","BACKGROUND:In common with many other countries, native forest in the Ireland is under pressure from a variety of sources. Although the area of forest has increased to 10.5% of the land area of Ireland, this is comprised mainly of exotic conifer species (6.8%). Native species woodland represents only 100,000 hectares (1.4%) of the land area. In addition, much of this area is fragmented and comprised of a narrow range of species. Just 20,000 hectares is represented by woodland resembling the ancient woodland that once covered much of Ireland.METHODS:This paper examines the natural capital value of the existing area of woodland as represented by the value of the ecosystem services it provides.RESULTS:The results demonstrate a significant economic value in excess of E67 million per year. We discuss the consequences of the erosion of this value that could result from continued mismanagement of native woodland. The results show that current government policy is failing to realise the economic value of native woodland and is deficient in terms of the continuity of support.CONCLUSIONS:The paper demonstrates the very significant values that could be supplied by a gradual expansion of woodland area up to 100% of the current forested area, especially if this expansion is targeted at areas with the highest potential for amenity and water resource protection.","Presence of environment - Recreation - Recreational users\nPresence of environment - Spiritual and cultural - People who care\nViews - Spiritual and cultural - People who care \nViews - Recreation - Recreational users\nFlora, fauna and fungi - Recreation - Recreational users\nWater quantity - Flood alleviation - Residential property owners\nWater quantity - Flood alleviation - Land owners\nWater quantity - Flood alleviation - Commercial property owners\nWater quantity - Flood alleviation - Insurance companies\nAir - Physical health - Population\nAir - Physical health - Health care providers"]
[31,"Butler, J. R. A., et al. (2009). \"Evaluating an ecosystem service provided by Atlantic salmon, sea trout and other fish species in the River Spey, Scotland: The economic impact of recreational rod fisheries.\" Fisheries Research 96(2-3): 259-266.","In 2003 a study Was undertaken in the River Spey catchment, north-east Scotland, to estimate the economic impact of recreational rod fisheries for Atlantic salmon (Salmo salar), brown and sea trout (S. trutta), pike (Esox lucius), and non-native rainbow trout (Oncorhynchus mykiss). Thirty-one fishery owners and 372 anglers completed questionnaire surveys on average catches and angler effort in 1998-2002. Anglers reported their daily expenditure, and the CogentSI model was used to derive multiplier effects. Total annual angler days were 54,746, of which 74% were from salmon and sea trout anglers. Angler expenditure was estimated to be 11.8 pound million annum(-1), of which 10.8 pound million was generated by salmon and sea trout anglers. Accounting for multiplier effects, fisheries contributed 12.6 pound million annum(-1) to household incomes and 420 full time equivalent (FTE)jobs in the catchment. Of this, salmon and sea trout fisheries contributed 11.6 pound million annum-(1) and 401 FTEs. On average rod caught salmon and sea trout contributed approximately 970 pound fish(-1) to household incomes, equating to 26 pound smolt(-1) and 1 pound m(2) annum(-1) for riverine nursery habitat. The capital value of the salmon and sea trout rod fishery was 56.7 pound million. Comparison with a national survey of angler expenditure in 2003 suggests that the relative impact of salmon and sea trout in the Spey catchment's economy is one of the highest in the country. The application of angler expenditure as an evaluation of utilitarian ecosystem services provided by fish species and freshwater habitat is discussed. Crown Copyright (C) 2008 Published by Elsevier B.V. All rights reserved.","Water quality - Food agriculture and fisheries - Farmers"]
[32,"Calder, I. R. and B. Aylward (2006). Forest and floods: Moving to an evidence-based approach to watershed and integrated flood management.","Evidence is presented to show that there is a growing disparity between public perception and scientific evidence relating to the causes of floods, their impacts, and the benefits of mitigation measures. It is suggested that this disparity has arisen through the extensive promotion of certain land uses and engineering interventions by vested interest groups in the absence of any effective dissemination of the scientific evidence which may allow a contrary view. It is believed that this disparity may have resulted not only in the wastage of development funds (possibly to the extent of tens of billions of dollars per year) on unachievable targets, but also in the unwarranted blame of upland communities whose practices have generally had only marginal impacts on downstream flooding. It is recognized that the interaction of floods and society is a highly complex subject. What is recognized, with some certainty, is that simplistic and populist land management solutions, such as oft-advocated solutions involving commercial afforestation programs, cannot ever represent a general solution and will, in most situations, have at best marginal benefit and at worst negative impacts. Similarly, structural engineering interventions, although in the short term providing protection to flood-affected communities in one area may have the effect of transferring the problem downstream and may also introduce other unforeseen adverse environmental and economic impacts. An improved approach to watershed and flood management is proposed that integrates watershed and land-use management in the highlands with land-use planning, engineering measures, flood preparedness, and emergency management in the affected lowlands while taking into account the social and economic needs of communities in both the highland, often source areas, and also the lowland flood-prone affected communities. This approach should be based on our best available scientific knowledge of the causes and the environmental, social, and economic impacts of floods and the environmental, social, and economic effects of engineering interventions.",null,null,null,"The effect of trees and flooding"]
[33,"Calder, I. R., et al. (2008). Woodland actions for biodiversity and their role in water management, The Woodlands Trust, Lincolnshire: 24.","The highly fragmented semi-natural habitats of the UK are vulnerable to climate change. There is a need to develop landscapes that are resilient, i.e. able to absorb and respond to changes, thereby sustaining biodiversity and ecosystem goods and services. Woodland actions for biodiversity have an important role to play ecologically and may have considerable potential to contribute to economic and other benefits. Increasing attention is being given to the interactions between woodland and water, as integrated land and water resource management seeks to address a number of water issues, including the threats posed by climate change. While a wide range of projects have researched or reviewed particular aspects of water management on which trees and woodland have an impact, there is a need for an accessible overarching synthesis. - See more at: http://eprint.ncl.ac.uk/pub_details2.aspx?pub_id=54851#sthash.fDBEPZsm.dpuf",null,null,null,"The effect of trees and biodiversity of water"]
[34,"Cameron, R. W. F., et al. (2012). \"The domestic garden - Its contribution to urban green infrastructure.\" Urban Forestry & Urban Greening 11(2): 129-137.","Domestic gardens provide a significant component of urban green infrastructure but their relative contribution to eco-system service provision remains largely un-quantified. 'Green infrastructure' itself is often ill-defined, posing problems for planners to ascertain what types of green infrastructure provide greatest benefit and under what circumstances. Within this context the relative merits of gardens are unclear; however, at a time of greater urbanization where private gardens are increasingly seen as a 'luxury', it is important to define their role precisely. Hence, the nature of this review is to interpret existing information pertaining to gardens/gardening per se, identify where they may have a unique role to play and to highlight where further research is warranted. The review suggests that there are significant differences in both form and management of domestic gardens which radically influence the benefits. Nevertheless, gardens can play a strong role in improving the environmental impact of the domestic curtilage, e.g. by insulating houses against temperature extremes they can reduce domestic energy use. Gardens also improve localized air cooling, help mitigate flooding and provide a haven for wildlife. Less favourable aspects include contributions of gardens and gardening to greenhouse gas emissions, misuse of fertilizers and pesticides, and introduction of alien plant species. Due to the close proximity to the home and hence accessibility for many, possibly the greatest benefit of the domestic garden is on human health and well-being, but further work is required to define this clearly within the wider context of green infrastructure. (C) 2012 Elsevier GmbH. All rights reserved.",null,null,null,"Ecosystem service benefits from domestic gardens"]
[35,"Carling, P. A., et al. (2001). \"Reducing sediment inputs to Scottish streams: a review of the efficacy of soil conservation practices in upland forestry.\" Science of the Total Environment 265(1-3): 209-227.","The historical process by which a soil conservation strategy has evolved within the UK forestry industry is briefly reviewed. Particular attention is given to the development of practical and effective guidelines to prevent both soil damage and sediment entering water courses. It is concluded that the 'Forest and Water Guidelines', together with other forest industry manuals, largely provide adequate protection for aquatic habitats from pre-afforestation cultivation and from harvesting activities. The problem of soil erosion owing to ploughing of open furrows has largely been obviated by improved drainage network design coupled with the use of vegetated buffer strips and sediment catchpits. Alternative site preparation techniques, such as 'moling' or 'dolloping' of afforestation sites, are now preferred. However, the effects on slope hydrology and the improved soil conservation associated with these methods require quantifying. Additional understanding of effective buffer strip function, for example, on a variety of slope angles, soil types and vegetation associations would be beneficial. The design of forest roads and the associated network of drains, culverts and sediment catchpits is addressed in forestry guidelines. Future potential in this area may involve the use of Geographical Information Systems in the effective design of road networks which minimise adverse effects on slope hydrology, Similarly computer simulation of flow routing might aid in the design of road drain networks. At the more local scale there remains scope for further research aimed at minimising soil disturbance by machinery. Consideration should also be given to the long-term sustainability of the soil structure through second and subsequent crop rotations. (C) 2001 Elsevier Science B.V. All rights reserved.",null,null,null,"The effect of forests on water quality (Sediment)"]
[37,"Christie, M., et al. (2006). \"Valuing the diversity of biodiversity.\" Ecological Economics 58(2): 304-317.","Policy makers have responded to concerns over declining levels of biodiversity by introducing a range of policy measures including agri-environment and wildlife management schemes. Costs for such measures are relatively easy to establish, but benefits are less easily estimated. Economics can help guide the design of biodiversity policy by eliciting public preferences on different attributes of biodiversity. However, this is complicated by the generally low level of awareness and understanding of what biodiversity means on the part of the general public. In this paper we report research that applied the choice experiment and contingent valuation methods to value the diversity of biological diversity. Focus groups were used to identify ecological concepts of biodiversity that were important and relevant to the public, and to discover how best to describe these concepts in a meaningful and understandable manner. A choice experiment examined a range of biodiversity attributes including familiarity of species, species rarity, habitat, and ecosystem processes, while a contingent valuation study examined public willingness to pay for biodiversity enhancements associated with agri-environmental and habitat re-creation policy. The key conclusions drawn from the valuation studies were that the public has positive valuation preferences for most, but not all, aspects of biodiversity, but that they appeared to be largely indifferent to how biodiversity protection was achieved. Finally, we also investigate the extent to which valuation workshop approaches to data collection can overcome some of the possible information problems associated with the valuation of complex goods. The key conclusion was that the additional opportunities for information exchange and group discussion in the workshops helped to reduce the variability of value estimates. (c) 2005 Elsevier B.V. All rights reserved.","Flora, fauna and fungi - Housing services - Residential property owners\nFlora, fauna and fungi - Physical health - Population\nFlora, fauna and fungi - Mental health - population\nFlora, fauna and fungi - Recreation - Recreational users\nFlora, fauna and fungi - Artistic production - Artists\nFlora, fauna and fungi - Learning services - Education providers\nFlora, fauna and fungi - Learning services - Independent learners\nFlora, fauna and fungi - Spiritual and cultural - Participants\nFlora, fauna and fungi - Spiritual and cultural - people who care\nFlora, fauna and fungi - Non-use value production - people who care"]
[36,"Christie, M., et al. (2006). Valuing forest recreation activities: Final Phase 2 Report.","http://www.forestry.gov.uk/pdf/VFRFCFinalReportv5.pdf/$file/VFRFCFinalReportv5.pdf","Water quality - Recreation - Recreational users\nWater quantity - Recreation - Recreational users\nAir - Recreation - Recreational users\nFlora, fauna and fungi - Recreation - Recreational users\nPresence of environment - Recreation - Recreational users\nSound and scent - Recreation - Recreational users\nViews - Recreation - Recreational users\nSoil - Recreation - Recreational users\nTimber and fiber - Recreation - Recreational users"]
[38,"Christie, M., et al. (2011). Economic Valuation of the Benefits of Ecosystem Services delivered by the UK Biodiversity Action Plan, Report to Defra, London.","This report presents the findings of a study of ‘The Economic Valuation of the Ecosystem Service Benefits delivered by the UK Biodiversity Action Plan’. The research, commissioned by Defra (and partners) in 2008, was undertaken by a consortium led by Aberystwyth University. Research had already been undertaken to estimate the costs and expenditure related to meeting the UK BAP. This study was intended to provide estimates of the benefits associated with meeting the UK BAP to complement the costs work. ","Air - physical health - Population\nAir - Non-use value production - People who care\nWater quantity - Flood alleviation - residential propoerty owners\nFlora, fauna and fungi - Food agricultural and fisheries - farmers\nFlora, fauna and fungi - Food subsistence - Non-timber extractors\nFlora, fauna and fungi - Housing services - Residential property owners\nFlora, fauna and fungi - Physical health - Population\nFlora, fauna and fungi - Mental health - population\nFlora, fauna and fungi - Recreation - Recreational users\nFlora, fauna and fungi - Artistic production - Artists\nFlora, fauna and fungi - Learning services - Education providers\nFlora, fauna and fungi - Learning services - Independent learners\nFlora, fauna and fungi - Spiritual and cultural - Participants\nFlora, fauna and fungi - Spiritual and cultural - people who care\nFlora, fauna and fungi - Non-use value production - people who care"]
[39,"Consulting, C. (2014). Assessing the cost-effectiveness of woodlands in the abatement of carbon dioxide emissions, Final report to the Forestry Commission, UK.","The aim of this study was to estimate the cost-effectiveness (CE) of forestry as a means of delivering greenhouse gas (GHG) emissions abatement. It concentrated on the impact of additional new woodland creation and does not consider changes to the management of existing woodlands. Previous research has shown that managing neglected woodlands is much less effective for carbon abatement than investment in woodland creation.",null,null,"Air quality (carbon)"]
[40,"Cook, M. (2015). Forests as places of mental well-being for people with dementia. Research Note FCRN019, Forestry Commission Scotland.","This Research Note is based on a PhD research study ‘Forests as places of mental well-being: the meaning and use of urban forests by people with early-stage dementia’. The study examines and develops ways for people with dementia (especially those in the early stages) to engage with nature, and with other people, in the context of trees, woodlands and forests. Initial results from the study found that a pilot programme of activities, led by Forestry Commission Scotland rangers in an urban woodland setting, provided an overwhelmingly positive experience for people with early-stage dementia, by offering meaningful experiences that contributed to well-being and feelings of self-worth. The woodland environment also provided a ‘library’ of resources and stimulation. The programme helped people with early-stage dementia remain active and connected within the community, enabling them to maintain their independence for as long as possible, and provided support for carers. Such programmes can be seen as a new and innovative way of engaging with people with early-stage dementia, which could complement traditional therapeutic interventions. As the Note stresses, an ‘end of the road’ approach to people with dementia is no longer acceptable. We need to explore more ways of providing care with an emphasis on empowerment and maintaining the best possible quality of life. It is hoped that this Note will provide a valuable resource, not only for people who manage woodlands and other green spaces, but also for health-care professionals",null,null,null,"The effect of trees on mental health"]
[41,"Croci, S., et al. (2008). \"Small urban woodlands as biodiversity conservation hot-spot: a multi-taxon approach.\" Landscape Ecology 23(10): 1171-1186.","To evaluate the importance of urban woodlands to serve as potential sites for biodiversity conservation, we analysed bird, carabid beetle and small mammal community responses to urbanisation at different spatial scales. We analysed the relationships between the variations of the structure (species richness S, diversity H' and dominance D) of animal communities of woodlands distributed along a rural-urban gradient, and the variations along this same gradient of (1) the vegetation within woodlands, (2) the landscape at 100 m and (3) 600 m around the woodlands. We identified the spatial scales whose variations along the gradient most affected each animal community structure, and characterised community responses to these variations. Our results showed that urbanisation affected taxa differently according to their dispersal ability. Carabid beetles, less mobile, seem to be sensitive to increasing fragmentation and built surfaces from periurban to town centre which could make their movement within the urban landscape difficult. Birds, mobile species, seem to be more sensitive to variations of the vegetation structure within woodlands from periurban to town centre that could affect their capacity to maintain in habitat patches. Although our study did not allow relating the small mammal community structure to urbanisation, it suggests that this taxa is sensitive to urban local disturbances. A relevant management scale of woodlands can be specified for each taxa conservation. Urban woodlands accommodate over 50% of the species present in periurban woodlands, and effective management could enhance this number. Woodlands seem to be a good choice for promoting biodiversity conservation in towns.",null,null,null,"The effect of urban woodland on biodiversity"]
[42,"Croucher, K., et al. (2007). The links between greenspace and health: a critical literature review, A Greenspace Scotland research report.","This review was commissioned by Greenspace Scotland to support the development of a Health Impact Assessment Guide that will contribute to the greater recognition of the role of urban greenspace in improving health. More specifically the review was intended to identify and explore the links between physical health, health behaviours (i.e. physical activity), mental health and general well-being, and social health and different aspects of greenspace.",null,null,null,"The effect of greenspace on health"]
[44,"Davies, Z. G., et al. (2009). \"A national scale inventory of resource provision for biodiversity within domestic gardens.\" Biological Conservation 142(4): 761-771.","The human population is increasingly disconnected from nature due to urbanisation. To counteract this phenomenon, the UK government has been actively promoting wildlife gardening. However, the extent to which such activities are conducted and the level of resource provision for biodiversity (e.g., food and nesting sites) within domestic gardens remains poorly documented. Here we generate estimates for a selection of key resources provided within gardens at a national scale, using 12 survey datasets gathered across the UK. We estimate that 22.7 million households (87% of homes) have access to a garden. Average garden SiZe is 190 m(2), extrapolating to a total area of 432,924 ha. Although substantial, this coverage is still an order of magnitude less than that of statutory protected areas. Approximately 12.6 million (48%) households provide supplementary food for birds, 7.4 million of which specifically use bird feeders. Similarly, there are a minimum of 4.7 million nest boxes within gardens. These figures equate to one bird feeder for every nine potentially feeder-using birds in the UK, and at least one nest box for every six breeding pairs of cavity nesting birds. Gardens also contain 2.5-3.5 million ponds and 28.7 million trees, which is just under a quarter of all trees occurring outside woodlands. Ongoing urbanisation, characterised by increased housing densities, is inevitable throughout the UK and elsewhere. The important contribution domestic gardens make to the green space infrastructure in residential areas must be acknowledged, as their reduction will impact biodiversity conservation, ecosystem services, and the well-being of the human population. (C) 2008 Elsevier Ltd. All rights reserved.",null,null,null,"Domestic gardens and biodiversity"]
[43,"Davies, Z. G., et al. (2011). \"Mapping an urban ecosystem service: quantifying above-ground carbon storage at a city-wide scale.\" Journal of Applied Ecology 48(5): 1125-1134.","1. Despite urbanization being a major driver of land-use change globally, there have been few attempts to quantify and map ecosystem service provision at a city-wide scale. One service that is an increasingly important feature of climate change mitigation policies, and with other potential benefits, is biological carbon storage. 2. We examine the quantities and spatial patterns of above-ground carbon stored in a typical British city, Leicester, by surveying vegetation across the entire urban area. We also consider how carbon density differs in domestic gardens, indicative of bottom-up management of private green spaces by householders, and public land, representing top-down landscape policies by local authorities. Finally, we compare a national ecosystem service map with the estimated quantity and distribution of above-ground carbon within our study city. 3. An estimated 231 521 tonnes of carbon is stored within the above-ground vegetation of Leicester, equating to 3.16 kg C m(-2) of urban area, with 97.3% of this carbon pool being associated with trees rather than herbaceous and woody vegetation. 4. Domestic gardens store just 0.76 kg C m(-2), which is not significantly different from herbaceous vegetation landcover (0.14 kg C m(-2)). The greatest above-ground carbon density is 28.86 kg C m(-2), which is associated with areas of tree cover on publicly owned/managed sites. 5. Current national estimates of this ecosystem service undervalue Leicester's contribution by an order of magnitude. 6. Synthesis and applications. The UK government has recently set a target of an 80% reduction in greenhouse gas emissions, from 1990 levels, by 2050. Local authorities are central to national efforts to cut carbon emissions, although the reductions required at city-wide scales are yet to be set. This has led to a need for reliable data to help establish and underpin realistic carbon emission targets and reduction trajectories, along with acceptable and robust policies for meeting these goals. Here, we illustrate the potential benefits of accounting for, mapping and appropriately managing above-ground vegetation carbon stores, even within a typical densely urbanized European city.",null,null,null,"Urban trees and carbon storage"]
[165,"De Vries, S., Verheij, R. A., Groenewegen, P. P., & Spreeuwenberg, P. (2003). Natural environments-healthy environments? An exploratory analysis of the relationship between greenspace and health. Environment and planning A,35(10), 1717-1732.","Are people living in greener areas healthier than people living in less green areas? This hypothesis was empirically tested by combining Dutch data on the self-reported health of over 10 000 people with land-use data on the amount of greenspace in their living environment. In the multilevel analysis we controlled for socioeconomic and demographic characteristics, as well as urbanity. Living in a green environment was positively related to all three available health indicators, even stronger than urbanity at the municipal level. Analyses on subgroups showed that the relationship between greenspace and one of the health indicators was somewhat stronger for housewives and the elderly, two groups that are assumed to be more dependent on, and therefore exposed to, the local environment. Furthermore, for all three health indicators the relationship with greenspace was somewhat stronger for lower educated people. Implications for policymaking and spatial planning are discussed briefly."]
[45,"Defra (2013). Impact pathway guidance for valuing changes in air quality Defra, London.",null,"Air - Physical health - Population\nAir - Physical health - Health care providers"]
[46,"Doick, K. J. and T. R. Hutchings (2013). Air temperature regulation by urban trees and green infrastructure, Research Note FCRN012, Forestry Commission, Edinburgh.","A well-known effect of urbanisation is the warming of the local climate relative to surrounding rural areas, creating a phenomenon known as the ‘urban heat island’ (UHI). UHI intensity varies across a city and over time, but temperature differences may reach 9°C in the UK. Factors that contribute to a UHI include the thermal properties, height and spacing of buildings, the production of waste heat, air pollution, and differences in land cover and albedo. The UHI effect is important as heat-related stress accounts for around 1100 premature deaths per year in the UK – increasing noticeably in exceptionally hot years. An estimated 8–11 extra deaths occur each day for each degree increase in air temperature during UK summer heatwaves. As the occurrence and intensity of extreme heat events is set to increase under the changing climate predicted for the UK, there are significant implications for the thermal comfort and health of city dwellers across many parts of the UK. UHI abatement is of significance to those engaged in the development and delivery of climate change adaptation plans, including urban planners, policy makers and health professionals. Urban planning, building design and landscaping can all provide strategies for mitigating the UHI. Vegetation has a key role to play in contributing to the overall temperature regulation of cities. Informed selection and strategic placement of trees and green infrastructure can reduce the UHI and cool the air by between 2ºC and 8ºC, reducing heat-related stress and premature human deaths during high-temperature events. ",null,null,null,"The effect of urban trees on temperature"]
[48,"Donovan, G. H. and D. T. Butry (2010). \"Trees in the city: Valuing street trees in Portland, Oregon.\" Landscape and urban planning 94(2): 77-83.","We use a hedonic price model to simultaneously estimate the effects of street trees on the sales price and the time-on-market (TOM) of houses in Portland, Oregon. On average, street trees add $8870 to sales price and reduce TOM by 1.7 days. In addition, we found that the benefits of street trees spill over to neighboring houses. Because the provision and maintenance of street trees in Portland is the responsibility of adjacent property owners, our results suggest that if the provision of street trees is left solely to homeowners, then there will be too few street trees from a societal perspective.",null,"Air - Housing services - Residential property owners\nPresence of the environment - Housing services - Residential property owners\nSound and scent - Housing services - Residential property owners\nViews - Housing services - Residential property owners\nTimber and fiber - Housing services - Residential property owners"]
[47,"Donovan, G. H. and D. T. Butry (2011). \"The effect of urban trees on the rental price of single-family homes in Portland, Oregon.\" Urban Forestry & Urban Greening 10(3): 163-168.","Few studies have estimated the effect of environmental amenities on the rental price of houses. We address this gap in the literature by quantifying the effect of urban trees on the rental price of single-family homes in Portland, Oregon, USA. We found that an additional tree on a house's lot increased monthly rent by $5.62, and a tree in the public right of way increased rent by $21.00. These results are consistent with a previous hedonic analysis of the effects of trees on the sales price of homes in Portland, which suggests that homeowners and renters place similar values on urban trees. Published by Elsevier GmbH.",null,"Air - Housing services - Residential property owners\nPresence of the environment - Housing services - Residential property owners\nSound and scent - Housing services - Residential property owners\nViews - Housing services - Residential property owners\nTimber and fiber - Housing services - Residential property owners"]
[50,"Donovan, G. H. and J. P. Prestemon (2012). \"The Effect of Trees on Crime in Portland, Oregon.\" Environment and Behavior 44(1): 3-30.","The authors estimate the relationship between trees and three crime aggregates (all crime, violent crime, and property crime) and two individual crimes (burglary and vandalism) in Portland, Oregon. During the study period (2005-2007), 431 crimes were reported at the 2,813 single-family homes in our sample. In general, the authors find that trees in the public right of way are associated with lower crime rates. The relationship between crime and trees on a house's lot is mixed. Smaller, view-obstructing trees are associated with increased crime, whereas larger trees are associated with reduced crime. The authors speculate that trees may reduce crime by signaling to potential criminals that a house is better cared for and, therefore, subject to more effective authority than a comparable house with fewer trees.",null,null,null,"The effect of trees on crime"]
[49,"Donovan, G. H., et al. (2013). \"The Relationship Between Trees and Human Health Evidence from the Spread of the Emerald Ash Borer.\" American Journal of Preventive Medicine 44(2): 139-145.","Background: Several recent studies have identified a relationship between the natural environment and improved health outcomes. However, for practical reasons, most have been observational, cross-sectional studies. Purpose: A natural experiment, which provides stronger evidence of causality, was used to test whether a major change to the natural environment-the loss of 100 million trees to the emerald ash borer, an invasive forest pest-has influenced mortality related to cardiovascular and lower-respiratory diseases. Methods: Two fixed-effects regression models were used to estimate the relationship between emerald ash borer presence and county-level mortality from 1990 to 2007 in 15 U. S. states, while controlling for a wide range of demographic covariates. Data were collected from 1990 to 2007, and the analyses were conducted in 2011 and 2012. Results: There was an increase in mortality related to cardiovascular and lower-respiratory-tract illness in counties infested with the emerald ash borer. The magnitude of this effect was greater as infestation progressed and in counties with above-average median household income. Across the 15 states in the study area, the borer was associated with an additional 6113 deaths related to illness of the lower respiratory system, and 15,080 cardiovascular-related deaths. Conclusions: Results suggest that loss of trees to the emerald ash borer increased mortality related to cardiovascular and lower-respiratory-tract illness. This finding adds to the growing evidence that the natural environment provides major public health benefits. (Am J Prev Med 2013; 44(2): 139-145) Published by Elsevier Inc. on behalf of American Journal of Preventive Medicine",null,null,null,"The effect of trees on health"]
[51,"Donovan, R. G., et al. (2005). \"Development and application of an urban tree air quality score for photochemical pollution episodes using the Birmingham, United Kingdom, area as a case study.\" Environmental Science & Technology 39(17): 6730-6738.","An atmospheric chemistry model (CiTTyCAT) is used to quantify the effects of trees on urban air quality in scenarios of high photochemical pollution. The combined effects of both pollutant deposition to and emission of biogenic volatile organic compounds (BVOC) from the urban forest are considered, and the West Midlands, metropolitan area in the UK is used as a case study. While all trees can be beneficial to air quality in terms of the deposition of O-3, NO2, CO, and HNO3, some trees have the potential to contribute to the formation of O-3 due to the reaction of BVOC and NOx. A number of model scenarios are used to develop an urban tree air quality score (UTAQS) that ranks trees in order of their potential to improve air quality. Of the 30 species considered, pine, larch, and silver birch have the greatest potential to improve urban air quality, while oaks, willows, and poplars can worsen downwind air quality if planted in very large numbers. The UTAQS classification is designed with practitioners in mind, to help them achieve sustainable urban air quality. The UTAQS classification is applicable to all urban areas of the UK and other mid-latitude, temperate climate zones that have tree species common to those found in UK urban areas. The modeling approach used here is directly applicable to all areas of the world given the appropriate input data. It provides a tool that can help to achieve future sustainable urban air quality.",null,null,null,"The effect of urban trees on air quality"]
[52,"Eftec (2010). The economic contribution of the Forestry Commission public forest estate in England, Final Report to Forestry Commission.","This report sets out the methodology and findings from research aiming “to use economic valuation techniques to analyse the social, economic, and environmental contribution to public benefit of the Public Forest Estate (PFE) managed by the Forestry Commission (FC) in England and identify ways of increasing this contribution”.","Timber and fiber - Timber products - commerical - foresters\nTimber and fiber - Industrial and commercial - Producers\nAir - Physical health - Population\nWater quality - Recreation - Recreational users\nWater quantity - Recreation - Recreational users\nAir - Recreation - Recreational users\nFlora, fauna and fungi - Recreation - Recreational users\nPresence of environment - Recreation - Recreational users\nSound and scent - Recreation - Recreational users\nViews - Recreation - Recreational users\nSoil - Recreation - Recreational users\nTimber and fiber - Recreation - Recreational users\nViews - Housing services - Residential property owners\nFlora, fauna and fungi - Non-use production - people who care"]
[53,"Eftec (2011). Scoping Study on Valuing Ecosystem Services of Forests Across Great Britain, Final Report to the Forestry Commission. London.","The forestry sector plays a key role in the management of the natural environment and the provision of ecosystem service values, for example through timber production, carbon sequestration, and recreation and tourism benefits. The objective of this study is to review the existing evidence base on the value of ecosystem services.","Timber and fiber - Timber Commerical - Foresters\nTimber and fiber - Industrial and commercial - Producers\nFlora, fauna and fungi - Food subsistence - Non-timber extractors\nFlora, fauna and fungi - Food agricultural - Farmers\nAir - Physical health - Population\nAir - Physical health - Health care provider\nWater quality - Drinking water - Water companies\nWater quantity - Drinking water - water companies\nWater quantity - Flood alleviation - Residential property owners\nWater quantity - Flood alleviation - Land owners\nWater quantity - Flood alleviation - Commercial property owners\nScent and sound - Housing services - Residential property owners\nWater quality - Recreation - Recreational users\nWater quantity - Recreation - Recreational users\nAir - Recreation - Recreational users\nFlora, fauna and fungi - Recreation - Recreational users\nPresence of environment - Recreation - Recreational users\nSound and scent - Recreation - Recreational users\nViews - Recreation - Recreational users\nSoil - Recreation - Recreational users\nTimber and fiber - Recreation - Recreational users\nViews - Housing services - Residential property owners\nFlora, fauna and fungi - Non-use production - people who care"]
[54,"Emery, M., et al. (2006). Wild Harvests from Scottish Woodlands Social, cultural and economic values of contemporary non-timber forest products, Forestry Commission, Edinburgh: 40.","The research reported here was designed to document social, cultural, economic and environmental characteristics of current NTFP gatherer practices and perceptions and explore their implications for forest policy and management. In the autumn of 2004, the Principal Investigator conducted face-to-face interviews with 30 Scottish NTFP gatherers (also referred to as collectors and harvesters). The results of this study demonstrate that there is a woodland culture in contemporary Scotland. That a vast majority of the collection is for household use suggests the deeply personal nature of this connection. Indeed, some gatherers consider the activity fundamental to their personal identity as human beings, as Scots, as members of their family, or as individuals. Growing interest in these products as revenue sources and income opportunities could lead to developments that complement or collide with current collectors’ values. As such, NTFPs would seem to merit greater inclusion in forest research, policy, and management. ",null,null,null,"The gathering and use of non-timber forest products"]
[55,"Escobedo, F. J. and D. J. Nowak (2009). \"Spatial heterogeneity and air pollution removal by an urban forest.\" Landscape and Urban Planning 90(3-4): 102-110.","Estimates of air pollution removal by the urban forest have mostly been based on mean values of forest structure variables for an entire city. However, the urban forest is not uniformly distributed across a city because of biophysical and social factors. Consequently, air pollution removal function by urban vegetation should vary because of this spatial heterogeneity. This paper presents a different approach to evaluate how the spatial heterogeneity of the urban forest influences air pollution removal at the socioeconomic subregion scale. Air pollution removal for July 1997 to June 1998 and July 2000 to June 2001 were estimated using measured urban forest structure data from three socioeconomic subregions in Santiago, Chile. Dry deposition was estimated using hourly climate, mixing height, and pollutant concentration data. Pollution removal rates among the three socioeconomic subregions were different because of heterogeneous urban forest structure and pollution concentrations. Air pollution removal per square meter of tree cover was greatest in the low socioeconomic subregion. Pollution removal during 1997-1998 was different from 2000 to 2001 due to pollution concentration differences. Seasonal air quality improvement also differed among the subregions. Results can be used to design management alternatives at finer administrative scales such as districts and neighborhoods that maximize the pollution removal rates by the urban forest in a subregion. Policies that affect the functionality of urban forest structure must consider spatial heterogeneity and scale when making region-wide recommendations. Similarly, when modeling the functionality of the urban forest, models must capture this spatial heterogeneity for inter-city comparisons. (C) 2008 Elsevier B.V. All rights reserved.",null,null,null,"The effect of urban trees on air quality"]
[56,"Escobedo, P. J., et al. (2008). \"Analyzing the cost effectiveness of Santiago, Chile's policy of using urban forests to improve air quality.\" Journal of Environmental Management 86(1): 148-157.","Santiago, Chile has the distinction of having among the worst urban air pollution problems in Latin America. As part of an atmospheric pollution reduction plan, the Santiago Regional Metropolitan government defined an environmental policy goal of using urban forests to remove particulate matter less than 10 mu m (PM10) in the Gran Santiago area. We used cost effectiveness, or the process of establishing costs and selecting least cost alternatives for obtaining a defined policy goal of PM10 removal, to analyze this policy goal. For this study, we quantified PM10 removal by Santiago's urban forests based on socioeconomic strata and using field and real-time pollution and climate data via a dry deposition urban forest effects model. Municipal urban forest management costs were estimated using management cost surveys and Chilean Ministry of Planning and Cooperation documents. Results indicate that managing municipal urban forests(trees, shrubs, and grass whose management is under the jurisdiction of Santiago's 36 municipalities) to remove PM10 was a cost-effective policy for abating PM10 based on criteria set by the World Bank. In addition, we compared the cost effectiveness of managing municipal urban forests and street trees to other control policies (e.g. alternative fuels) to abate PM10 in Santiago and determined that municipal urban forest management efficiency was similar to these other air quality improvement measures. (C) 2007 Elsevier Ltd. All rights reserved.",null,null,"Cost based method (not value)"]
[57,"Europe Economics (2015). The economic benefits of woodland, A report for the Woodland Trust, London, UK.","What economic benefits does woodland have? the benefits that UK woodland can provide are worth over £270 billion however their full value is not always recognised. As one of the least wooded countries in Europe improving the future of native woodland is vital.","Timber and fiber - Timber products - commerical - foresters\nTimber and fiber - Industrial and commercial - Producers\nAir - Housing services - Residential property owners\nAir - Physical health - Population\nAir - Physical health - Health care providers\nAir - Physical health - Insurance companies\nAir - Mental health - Population\nAir - Physical health - Health care providers\nAir - Physical health - Insurance companies\nWater quality - Drinking water - Water companies\nWater quantity - Flood alleviation - Residential property owners\nWater quantity - Flood alleviation - Land owners\nWater quantity - Flood alleviation - Commercial property owners\nAir - Recreation - Recreational users\nFlora, fauna and fungi - Recreation - Recreational users\nPresence of environment - Recreation - Recreational users\nSound and scent - Recreation - Recreational users\nViews - Recreation - Recreational users\nSoil - Recreation - Recreational users\nTimber and fiber - Recreation - Recreational users\nViews - Housing services - Residential property owners\nFlora, fauna and fungi - Non-use production - people who care"]
[58,"Fernandez-Juricic, E. (2000). \"Avifaunal use of wooded streets in an urban landscape.\" Conservation Biology 14(2): 513-521.","Birds in urban landscapes primarily occupy parks (forest fragments), wooded streets (linear strips connecting fragments), or the urban matrix. I studied the effects of street location in the landscape, vegetation structure, and human disturbance (pedestrian and automobile load) within wooded streets on bird species richness, temporal persistence, and density of feeding and nesting guilds, and on the probability of street occupation by individual species in Madrid during two consecutive breeding seasons. The number of species recorded increased from the least suitable (control streets without vegetation) to the most suitable habitats (urban parks), with wooded streets being intermediate landscape elements. Fourteen species, belonging to four of the eight guilds identified in this system, were recorded in wooded streets in both years. Streets that connected urban parks, along with vegetation structure, positively influenced the number of species within wooded streets, species persistence, guild density, and probability of occupation of streets by individual species. Human disturbance exerted a negative influence on the same variables. Wooded streets potentially could function as corridors, allowing certain species-particularly those feeding on the ground and breeding in trees or tree holes-to fare well by supporting alternative habitat for feeding and nesting. Local improvements in corridor quality, through increased vegetation complexity and reduced human disturbance, could exert a positive influence on the regional connectivity of the system. Because of differential use of corridors by species with different habitat requirements, however, corridor implementation should also take into account the target species of management.",null,null,null,"The effect of urban trees and biodiversity"]
[59,"Fernandez-Juricic, E. (2004). \"Spatial and temporal analysis of the distribution of forest specialists in an urban-fragmented landscape (Madrid, Spain) - Implications for local and regional bird conservation.\" Landscape and Urban Planning 69(1): 17-32.","Management strategies for the regional conservation of forest birds sometimes do not consider explicitly their applicability to areas with different degrees of urbanization. I studied the spatial and temporal distribution of forest passerines in wooded parks in the city of Madrid during two consecutive breeding seasons to identify factors relevant to local conservation, and compared these results to previous studies in rural-fragmented forests in central Spain to derive recommendations for local and regional management guidelines. Five independent factors were considered: park size, isolation, density of potential corridors, vegetation structure, and pedestrian rate as an indicator of human disturbance within parks. Species richness and species temporal persistence was positively influenced by park size, shrub and tree cover, number of shrub and tree species, number of thick tree trunks, and negatively by the number of thin tree trunks. Species turnover was negatively affected by park size, such that the temporal persistence of species was enhanced in large parks. The pattern of guild assembly was not random but nested (parks with few species were subsets of progressively richer parks); the accumulation of species being affected mainly by park size and human disturbance, and to a lesser degree by isolation and vegetation structure. With regard to the spatial distribution of individual species, park size and vegetation structure positively influenced five species each, whereas isolation and human disturbance negatively influenced two and one species, respectively. Fragment size and habitat structure were the most relevant factors affecting species richness of forest specialists in both rural and urban fragmented landscapes; therefore, regional conservation strategies to protect these species may also be applicable to urbanized areas in central Spain. However, some specific recommendations should be considered in urban and suburban landscapes: (1) habitat quality ought to be enhanced to meet specific habitat requirements, particularly in large parks; (2) the mechanisms and rates of dispersal of forest birds through the urban matrix should be further studied to improve the movements between regional and local populations; and (3) species-specific variations in tolerance to pedestrians and thresholds levels of human visitation within parks should be determined to minimize human disturbance effects. (C) 2003 Elsevier B.V. All rights reserved.",null,null,null,"The effect of urban trees and biodiversity"]
[60,"Fiquepron, J., et al. (2013). \"Land use impact on water quality: Valuing forest services in terms of the water supply sector.\" Journal of Environmental Management 126: 113-121.","The aim of this paper is to quantify the impact of the forest on raw water quality within the framework of other land uses. On the basis of measurements of quality parameters that were identified as being the most problematic (i.e., pesticides and nitrates), we modeled how water quality is influenced by land uses. In order to assess the benefits provided by the forest in terms of improved water quality, we used variations of drinking water prices that were determined by the operating costs of water supply services (WSS). Given the variability of links between forests and water quality, we chose to cover all of France using data observed in each administrative department (France is divided into 95 departements), including a description of WSS and information on land uses. We designed a model that describes the impact of land uses on water quality, as well as the operation of WSS and prices. This bioeconomic model was estimated by the generalized method of moments (GMM) to account for endogeneity and heteroscedasticity issues. We showed that the forest has a positive effect on raw water quality compared to other land uses, with an indirect impact on water prices, making them lower for consumers. (C) 2013 Elsevier Ltd. All rights reserved.","Water quality - Drinking Water - Water Companies"]
[61,"Fontana, S., et al. (2011). \"How to manage the urban green to improve bird diversity and community structure.\" Landscape and Urban Planning 101(3): 278-285.","Urbanization is a fundamental environmental change, today happening at accelerated speed worldwide. Despite the strong and permanent human impact, urban biodiversity has generally proved to be surprisingly high. Quantitative information on the effect of management actions on biodiversity is often lacking but is an indispensable basis for decisions by urban planners and managers. We therefore quantified key urban variables to predict changes in avian biodiversity when their urban habitat is modified. We analysed species richness, diversity (Simpson index) and community composition of 63 bird species with reference to major urban environmental gradients at 96 sampling points in three Swiss cities. Best explanatory models were selected from candidate models following information theory, and their respective predictions were averaged based on AlCc-weights. Bird species richness and diversity are negatively affected by increasing fractions of sealed area or buildings, while increasing vegetation structures, in particular trees, show positive effects. Our models predict an increase from 13 species in the absence of trees to 20 species with 46% tree cover (+54%). Coniferous trees help to maximize bird species richness, with the models predicting an increase from 14 species at sites with only deciduous woody plants to 20 species (+43%) at places with equal representation of coniferous and deciduous plants. While the analysis of the Simpson index did not show any influence of the coniferous and broadleaf woody plants mixture, partial redundancy analysis revealed such an influence on bird community composition. highlighting the importance to consider several measures when analyzing biodiversity. (C) 2011 Elsevier B.V. All rights reserved.",null,null,null,"The effect of urban trees and biodiversity"]
[62,"Forestry Commission (2011). Forests and water UK Forestry Standard Guidelines, Forestry Commission: Edinburgh.","Forests and Water is one of a series of seven Guidelines that support the United Kingdom Forestry Standard (UKFS). The UKFS and Guidelines outline the context for forestry in the UK, set out the approach of the UK governments to sustainable forest management, define standards and requirements, and provide a basis for regulation and monitoring – including national and international reporting.",null,null,null,"Trees and forests and water "]
[64,"Freer-Smith, P. H., et al. (2004). \"Capture of particulate pollution by trees: A comparison of species typical of semi-arid areas (Ficus nitida and Eucalyptus globulus) with European and North American species.\" Water Air and Soil Pollution 155(1-4): 173-187.","Particulate pollution is a serious concern in developed countries especially in urban and suburban areas where it has adverse effects on human health, exacerbating a wide range of respiratory and vascular illnesses. Data are now available which indicate that similar problems probably occur in countries in transition and may indeed be worse where national air quality standards have been neither set nor monitored. Recently a variety of approaches using both wind tunnel and field measurements have suggested that trees can significantly reduce such adverse effects through their ability to capture pollutant particles. It is clear that species choice, planting design and location relative to pollution source are critical in determining the effectiveness of particle capture by trees. Here we present relative deposition velocities and capture efficiencies of five species used widely in woodland of urban and periurban areas of Europe (Quercus petraea (oak), Alnus glutinosa (alder), Fraxinus excelsior ( ash), Acer pseudo-platanus ( sycamore) and Pseudotsuga menziesii ( Douglas fir)), and for two species being used increasingly in semi-arid regions, ( Ficus nitida ( weeping fig) and Eucalyptus. globulus ( Eucalyptus)). These data are for species not previously worked on and measurements were made at three windspeeds. Deposition velocities and capture efficiencies are compared with those published for other tree species, with the values of deposition velocity ranging from 0.1 to 0.3 cm s(-1) at a windspeed of 3 m s(-1) to maximum values 2.9 cm s(-1) at 9 m s(-1) windspeed. Species with more complex stem structure and smaller leaves had greater relative deposition velocities. The use of such data in models to guide species choice and planting design in order to maximise particle removal from urban air are considered.",null,null,null,"The effect of urban trees and air quality"]
[63,"Freer-Smith, P. H., et al. (2005). \"Deposition velocities to Sorbus aria, Acer campestre, Populus deltoides X trichocarpa 'Beaupre', Pinus nigra and X Cupressocyparis leylandii for coarse, fine and ultra-fine particles in the urban environment.\" Environmental Pollution 133(1): 157-167.","Trees are effective in the capture of particles from urban air to the extent that they can significantly improve urban air quality. As a result of their aerodynamic properties conifers, with their smaller leaves and more complex shoot structures, have been shown to capture larger amounts of particle matter than broadleaved trees. This study focuses on the effects of particle size on the deposition velocity of particles (Vg) to five urban tree species (coniferous and broadleaved) measured at two field sites, one urban and polluted and a second more rural. The larger uptake to conifers is confirmed, and for broadleaves and conifers Vg values are shown to be greater for ultra-fine particles (Dp < 1.0 mum) than for fine and coarse particles. This is important since finer particles are more likely to be deposited deep in the alveoli of the human lung causing adverse health effects. The finer particle fraction is also shown to be transported further from the emission source; in this study a busy urban road. In further sets of data the aqueous soluble and insoluble fractions of the ultra-fines were separated, indicating that aqueous insoluble particles made up only a small proportion of the ultra-fines. Much of the ultra-fine fraction is present as aerosol. Chemical analysis of the aqueous soluble fractions of coarse, fine and ultra-fine particles showed the importance of nitrates, chloride and phosphates in all three size categories at the polluted and more rural location. (C) 2004 Published by Elsevier Ltd.",null,null,null,"The effect of urban trees and air quality"]
[173,"Gagkas, Z. (2007) Effects of broadleaf woodland cover on streamwater chemistry and risk assessments of streamwater acidification in acid-sensitive catchments in the UK, PhD Thesis, University of Edinburgh, https://www.era.lib.ed.ac.uk/handle/1842/2431  ","Acidification of surface waters has been recognised as the major water quality problem in the UK uplands. The adverse effects of conifer afforestation on streamwater chemistry and ecology are well documented in acid-sensitive catchments and have mainly been attributed to the enhanced deposition of atmospheric pollutants onto conifer canopies (the “scavenging effect”). Currently, international and national policies promote the expansion of native broadleaf woodland in the UK. Pollutant deposition onto broadleaf canopies is considered less than onto the more aerodynamically rough conifers, but there is concern that largescale broadleaf planting could delay the recovery of acidified waters or lead to further acidification in most sensitive areas. However, there has been limited investigation of the influence of broadleaf woodland cover on streamwater chemistry in the UK. To investigate the effect of woodland cover 14 catchments with different (0-78%) percentages of broadleaf woodland cover were identified in representative acidsensitive areas in north-western and central Scotland (Glen Arnisdale and Loch Katrine area) and northern and south-western England (Ullswater area and Devon) using spatial datasets in a GIS. Streamwater was sampled at high flow from the catchment outlets in winter and spring 2005 and 2006 and was analysed for major cations, anions and trace metals using standard methods. The number of samples ranged from two in the Glen Arnisdale catchments to 10 in the Loch Katrine area catchments which were sampled more intensively. Significant positive correlations were found between percentage broadleaf woodland cover and streamwater NO3 (rs = 0.51) and soluble Al (rs = 0.64) concentrations. The greater NO3 leaching to streamwater in the three most forested catchments (> 50%) was probably due to enhanced N deposition onto woodland canopies and nitrification by alder in the Ullswater area forested catchments. Streamwater NO3 concentrations equalled or exceeded non-marine SO4 in the above catchments indicating that NO3 was the principal excess acidifying ion in catchments with greater woodland cover.The woodland effect on streamwater chemistry in the study catchments was masked to some extent by variability in acid deposition climate and soil type composition. Seasalt inputs were found to be a more important control than woodland cover for streamwater chemistry in the maritime Glen Arnisdale catchments. A risk assessment of acid-sensitivity in the study catchments was conducted by calculating streamwater critical load exceedances using the Steady-State Water Chemistry (SSWC) and First-order Acidity Balance (FAB) models and modelled pollutant deposition for 1995-97 and 2002. Critical loads were exceeded by 0.01 to 1.74 keq H ha-1 yr-1 in two catchments which had woodland covers > 50% and in the Devon control catchment. The remaining 11 study catchments were assessed to be not at risk of acidification, probably due to significantly reduced non-marine S deposition from 1986 to 2001, but seasalt inputs to the Glen Arnisdale catchments might cause acidic streamwater episodes. Acid-sensitivity was also assessed using macroinvertebrates sampled in 11 of the study catchments and the results generally agreed with the critical load assessments. More detailed estimates of the enhancement of dry S and N deposition onto birchwoods in the Loch Katrine area catchments using calculated roughness length within FRAME showed that it posed no risk for streamwater acidification in these catchments because of the high rainfall environment. However, in acid-sensitive areas of the UK with lower rainfall and closer to major pollution sources, enhanced pollutant scavenging by broadleaf woodland canopies could pose a greater risk of acidification to freshwaters. The finding that almost all study catchments with woodland covers less than 30% are well protected from acidification suggests that this is a sensible threshold value for use in risk assessments of the effects of broadleaf woodland planting conducted within the Forests and Water Guidelines. The results of a sensitivity analysis of the Guidelines’ methodology, conducted using parameters such as numbers and timing of streamwater sampling, different runoff estimates and critical acid neutralising capacity values, showed that the Guidelines should be able to protect sensitive freshwaters from acidification in areas where broadleaf woodland is expanding."]
[65,"Gagkas, Z., et al. (2011). \"Assessing the effect of broadleaf woodland expansion on acidic dry deposition and streamwater acidification.\" Forest Ecology and Management 262(8): 1434-1442.","The study aim was to determine whether enhanced dry deposition of acidic atmospheric pollutants by broadleaf woodland expansion could increase the potential for acidification of surface waters in acid-sensitive areas. Dry sulphur (S) and nitrogen (N) deposition was modelled with the Fine Resolution Atmospheric Multi-pollutant Exchange (FRAME) model using a roughness length value calculated specifically for birchwoods. Two scenarios were investigated for an acid-sensitive area in Scotland where broadleaf woodland expansion, mainly as birchwood, is occurring: (1) 2002 emissions and broadleaf woodland cover of 5.6%; (2) 2020 projected emissions and broadleaf cover of 29%. The roughness length calculated for birch with Raupach's simplified drag-partition model was 0.73m, lower than the value of 1.0m for conifers which is the default for forest land cover in FRAME. Modelled dry S and N deposition increased between 2002 and 2020 from 8.7 to 29×10-3keqha-1year-1 of H+. However, modelled total dry and wet non-marine S and N deposition decreased during the same period from 1070 to 682×10-3keqha-1year-1 of H+ due to the lower projected emissions in 2020 and the dominance of wet deposition in the remote and upland study area (mean annual rainfall 2275mm). The modelled total non-marine S and N deposition was used to calculate streamwater critical loads exceedance with the First-order Acidity Balance (FAB) model for five catchments in the study area. The modelled deposition for both the 2002 and 2020 scenarios was less than the calculated streamwater critical loads so the catchments were not considered at risk of streamwater acidification under the projected future emissions and increased broadleaf woodland cover. Nevertheless, broadleaf expansion could pose a greater risk of acidification in acid-sensitive areas with lower rainfall, closer to pollutant sources, where dry deposition accounts for a higher proportion of total S and N deposition. © 2011 Elsevier B.V.",null,null,null,"The effect of trees and water quality"]
[66,"Garrod, G. (2002). Social & Environmental Benefits of Forestry Phase 2 : Landscape Benefits, Report to the Forestry Commission, Edinburgh.",null,"Views - Industrial and commercial - Producers\nViews - Housing services - Residential property owners\nViews - Recreation - recreational users"]
[68,"Garrod, G. and K. Willis (1992). \"The amenity value of woodland in Great Britain: A comparison of economic estimates.\" Environmental and Resource Economics 2(4): 415-434.","Forests produce benefits over and above the revenue yielded from timber and other wood based products. Most important among these may be the recreational benefits for visitors, which have been examined in several studies. Total benefits for residents are perhaps more accurately captured in property values since, ceteris paribus, the price of a house reflects willingness to pay to live near an environmental amenity such as a forest to gain access to it, and also the amenity (non-use) value of the forest in so far as it creates a pleasant landscape. However, the total non-priced value of forestry is not the sum of HPM and ITCM benefit estimates. Recreational benefits will typically be less, and will be subsumed in the HPM estimates, since the hedonic price is partly induced by the value of recreational access.","Presence of environment - housing services - Residential property owners\nViews - Housing services - Residential property owners\nTimber and fiber - Housing services - Residential property owners"]
[69,"Garrod, G. D. and K. G. Willis (1997). \"The non-use benefits of enhancing forest biodiversity: A contingent ranking study.\" Ecological Economics 21(1): 45-61.","Until recently, the majority of commercial forestry in the UK has comprised blanket planting of non-native coniferous species which typically do not offer a high level of biodiversity. However, the UK government, and consequently the UK Forestry Commission, are committed under various international agreements to conserve and enhance biodiversity in British forests. The study reported in this paper estimates that substantial non-use values would be generated if the Forestry Commission were to continue in its current efforts to develop management practices that promote an increase in biodiversity across a large area of its commercial holdings in remote parts of the country which are seldom visited. Rather than adopting a referendum-type contingent valuation method, a discrete-choice contingent ranking approach is used to estimate the general public's willingness to pay to increase the area of these forests managed under each of three forest management standards designed to offer increasing levels of biodiversity at the expense of commercial timber production. This permits relative preferences for different forest management standards to be measured at the same time as willingness to pay to enhance biodiversity.","Flora, fauna and fungi - Non-use production - People who care"]
[67,"Garrod, G., et al. (2009). \"Assessing the value of forest landscapes: A choice experiment approach.\" Arboricultural Journal 32(3): 189-211.","Landscape planning and design occupies a major role in forest policy in the UK. Since the 1980s, UK forests have been managed increasingly for multi-purpose objectives, a policy which has been underpinned by international agreements on sustainable forestry. Within this context, there is a need to understand public preferences for forest landscapes in designing policies that meet the needs of multi-purpose forestry. This paper is based on a study to investigate public willingness to pay (WTP) for regular visual and recreational access to a wide variety of generic forest landscapes. A total of thirty-three forest landscapes were investigated, each of which was defined as a combination of the configuration of the planting and the landscape factors. Computergenerated images of each of these landscapes were used to underpin a series of choice experiments conducted as part of a questionnaire survey of over 400 households across Great Britain. The results confirm the importance of landscape in contributing to the social and environmental benefits provided by forests, and suggests that current policies of woodland expansion may generate additional benefits, especially if more woodland is located close to urban populations. The paper concludes by discussing the implications of these results for forest policy across the UK. © AB Academic Publishers 2009.","Views - Industrial and commercial - Producers\nViews - Housing services - Residential property owners\nViews - Recreation - recreational users"]
[70,"Gilliam, J. W. (1994). \"Riparian Wetlands and Water-Quality.\" Journal of Environmental Quality 23(5): 896-900.","Because of wet soils adjacent to the stream, riparian buffers are frequently present between farming and urban activities on the uplands and small streams. These riparian areas have been shown to be very valuable for the removal of nonpoint-source pollution from drainage water. Several researchers have measured >90% reductions in sediment and nitrate concentrations in water flowing through the riparian areas. The riparian buffers are less effective for P removal but may retain 50% of the surface-water P entering them. I consider riparian buffers to be the most important factor influencing nonpoint-source pollutants entering surface water in many areas of the USA and the most important wetlands for surface water quality protection.",null,null,null,"The effect of riparian buffers and water quality"]
[71,"Green, C. H. and S. M. Tunstall (1991). \"The Evaluation of River Water-Quality Improvements by the Contingent Valuation Method.\" Applied Economics 23(7): 1135-1146.","The results of an application of the Contingent Valuation Method (CVM) to the estimation of the recreational benefits which would result from improvements in river water quality are described. This case study is used as a basis to discuss the wider, generic issues in the application of the CVM: in particular, the problems of defining the population who benefit; the nature of the goods; why they benefit; and the questions of validity and reliability. A series of recommendations both as to appropriate methodological procedures to be adopted in CVM studies are given and as to areas where further theoretical and methodological research is required. ","Water quality - Recreation - Recreation users"]
[179,"Halcrow Water, (2001) Sedimentation in Storage Reservoirs Report for the Department of the Environment","Transport and the Regions, available at: http://www.britishdams.org/reservoir_safety/defra-reports/200102Sedimentation%20in%20storage%20reservoirs.pdf "]
[72,"Hanley, N., et al. (2002). Social & Environmental Benefits of Forestry Phase 2 : Valuing the Benefits of Biodiversity in Forests, Report to Forestry Commission, Edinburgh.",null,"Flora, fauna and fungi - Non-use production - People who care"]
[73,"Hanley, N., et al. (2006). \"Estimating the economic value of improvements in river ecology using choice experiments: an application to the water framework directive.\" Journal of Environmental Management 78(2): 183-193.","The Water Framework Directive is a major regulatory reform of water resources management within the European Union. Integrated catchment management plans must be prepared for all river basins, in order to achieve 'good ecological status' in all EU waters. Ecological status is a broader measure of water quality than the chemical and biological measures that were previously dominant. The Directive calls for a consideration of the economic costs and benefits of improvements to ecological status. In this paper, we use the choice experiment method to estimate the value of improvements in three components of ecological status. Given the high resource cost of valuation studies, benefits transfer methods will be needed in implementing the Directive. We thus also test the ability of choice experiments for benefits transfer across two very similar rivers in the UK. (c) 2005 Elsevier Ltd. All rights reserved.","Water quality - Food agriculture and fisheries - Farmers\nWater quality - recreatrion - recreational users"]
[163,"Hartig, T., Evans, G. W., Jamner, L. D., Davis, D. S., & Gärling, T. (2003). Tracking restoration in natural and urban field settings. Journal of environmental psychology, 23(2), 109-123.","We compared psychophysiological stress recovery and directed attention restoration in natural and urban field settings using repeated measures of ambulatory blood pressure, emotion, and attention collected from 112 randomly assigned young adults. To vary restoration needs, we had half of the subjects begin the environmental treatment directly after driving to the field site. The other half completed attentionally demanding tasks just before the treatment. After the drive or the tasks, sitting in a room with tree views promoted more rapid decline in diastolic blood pressure than sitting in a viewless room. Subsequently walking in a nature reserve initially fostered blood pressure change that indicated greater stress reduction than afforded by walking in the urban surroundings. Performance on an attentional test improved slightly from the pretest to the midpoint of the walk in the nature reserve, while it declined in the urban setting. This opened a performance gap that persisted after the walk. Positive affect increased and anger decreased in the nature reserve by the end of the walk; the opposite pattern emerged in the urban environment. The task manipulation affected emotional self-reports. We discuss implications of the results for theories about restorative environments and environmental health promotion measures."]
[74,"Helden, A. J., et al. (2012). \"Urban biodiversity: comparison of insect assemblages on native and non-native trees.\" Urban Ecosystems 15(3): 611-624.","Trees are thought to be important for supporting urban biodiversity. However tree species differ considerably in the numbers of invertebrates they support, with potential consequences for higher trophic groups such as birds. In this study the influence of native and non-native trees on the abundance of insects (Hemiptera) and the incidence of insectivorous birds (Paridae) were investigated in the southern English town of Bracknell. The number and species of tree were recorded from each of 17 roundabout and parkland sites. Tree beating was used to sample arboreal Hemiptera and Paridae were recorded either with point counts and transect walks, depending on the size of the site. Due to the great variation between tree species, there was no overall significant difference in species richness or abundance of Hemiptera between native and non-native tree species. However, individual native trees had more species and individuals than non-natives. The proportion of native trees at Bracknell sites was positively related to the abundance of both Hemiptera and the number of Paridae observed. The consequences of vegetation type for insect abundance indicates that in order to sustain and enhance urban biodiversity, careful consideration needs to be given to species of trees present in urban areas.",null,null,null,"Tree species and biodiversity"]
[75,"Horne, P., et al. (2005). \"Multiple-use management of forest recreation sites: a spatially explicit choice experiment.\" Forest Ecology and Management 207(1-2): 189-199.","This study examined visitors' preferences for forest management at five adjacent municipal recreation sites in Finland, using a spatially explicit choice experiment. The study design accounted for changes in scenery and biodiversity indices in the forest environment resulting from forest management practices. Respondents were asked to choose their preferred management option from alternative management regimes for the sites. The options were characterized by different levels of attributes, which included site-specific species richness levels and forest scenery, costs of management, and indicators of species richness levels over the system of recreation sites. Results show that visitors have a strong preference for the preservation of species richness and for scenic beauty. However, when there is a trade-off between these benefits, visitors chose their favourite scenery at their favourite recreation site and prefer management options, which preserve biodiversity at the other sites in the recreation system. The study shows how modelling the sites as independent units of the forest management regime permit policy-relevant conclusions to be drawn regarding the specialisation and zoning of multiple-use objectives. The approach also allows for the development of hypothetical management scenarios and estimation of respective economic welfare changes for visitors from these scenarios. (c) 2004 Elsevier B.V. All rights reserved.","Flora, fauna and fungi - Recreation - Recreational users\nFlora, fauna and fungi - Non-use production - People who care\nViews - Recreation - recreational users"]
[76,"Hughes, F. M. R., et al. (2001). \"The importance of different scale processes for the restoration of floodplain woodlands.\" Regulated Rivers-Research & Management 17(4-5): 325-345.","The restoration of floodplain woodlands demands an understanding of the linkages between process, form and past management history at both a local and catchment scale. Site and reach scale processes that influence the species composition of floodplain woodland species are described with a particular focus on the relationships between hydrological and sediment inputs to floodplains and the regeneration response by tree species. The importance of integrating natural science knowledge gained at the site reach scale with decisions taken at the catchment scale on water allocation priorities is then discussed. Research was carried out on the River Ore in Sweden, The River Ouse in the United Kingdom and the River Is re and River Garonne in France. Research results at the site and reach scale allow broad definition of ideal conditions for the regeneration and growth of floodplain tree species and the flows that provide them: (1) channel movement has to occur for the creation of sedimentation sites required for the regeneration of early successional species and the flows that provide them; (2) flooding events should occur periodically to cause both channel movement and recharge floodplain water tables; (3) water table decline rates following a flood event must be slow enough that seedling roots can maintain contact with the retreating water front; (4) unseasonal flood events can cause high mortality of seedlings and prevent successful regeneration in any season. Some of the requirements for the restoration of floodplain woodlands can be delivered through site and reach scale restoration projects with reasonably predictable ecological outcomes. A more holistic approach to the provision of regeneration sites for floodplain woodlands would also include water allocation decisions targeted at providing flow conditions which could restore geomorphological processes. However, it is difficult to predict ecosystem responses to catchment scale flow allocation measures and, therefore, in the intensively managed river corridors of Western Europe, river restoration initiatives tend to be restricted to the site and reach scale. Copyright (C) 2001 John Wiley & Sons, Ltd.",null,null,null,"The effect of trees on water quantity (flooding)"]
[77,"Humphrey, J., et al. (2003). Biodiversity in Britain’s Planted Forests, Results from the Forestry Commission’s Biodiversity Assessment Project, Forestry Commission, Edinburgh.",null,null,null,null,"Trees and biodiversity"]
[78,"Hutchings, T. R. (2002). \"The establishment of trees on contaminated land.\" Arboricultural Journal 26(4): 359-376.","Woodland is an important component of the urban landscape, improving its appearance and social value, and thereby contributing to economic regeneration. It is estimated that over 300,000 ha of land in the UK may be contaminated. Woodland provides a 'soft' end-use that requires less stringent remediation objectives than, for example, the building of residential properties. Remediation of contaminated land can be achieved by removing or treating the pollutant; breaking or removing the pathway; or protecting or removing the receptor. Woodland establishment has the potential to satisfy all such criteria. Trees are effective at stabilising contaminated land by reducing soil erosion and off-site particulate migration. They can also promote the microbial breakdown of many organic contaminants and help to remove the fraction of metalliferous pollutants that is available to plants, thereby reducing the transfer of contamination and potential exposure to humans and the environment. Trees can, however, acidify soil, which may lead to the mobilisation of some contaminants (particularly the heavy metals). Current evidence suggests that woodland has a strong and positive part to play in the future development of contaminated land, but the use of trees for safe and effective reclamation must be based upon a predictive risk-benefit assessment. Our work continues towards the provision of guidance and the development of assessment methods to enable a determination of the viability, implications and rewards of tree planting on contaminated land.",null,null,null,"The effect of trees on land remediation "]
[79,"Hutchings, T. R., V. Lawrence, and A. Brunt (2012): \"Estimating the Ecosystem Services Value of Edinburgh’s Trees \": Report by Forest Research, Forest Research UK.",null,null,"Air - Physical health - Population\nAir - Physical health - Health care providers"]
[80,"Hutchins, M. G., et al. (2010). \"Which offers more scope to suppress river phytoplankton blooms: Reducing nutrient pollution or riparian shading?\" Science of the Total Environment 408(21): 5065-5077.","River flow and quality data, including chlorophyll-a as a surrogate for river phytoplankton biomass, were collated for the River Ouse catchment in NE England, which according to established criteria is a largely unpolluted network. Against these data, a daily river quality model (QUESTOR) was setup and successfully tested. Following a review, a river quality classification scheme based on phytoplankton biomass was proposed. Based on climate change predictions the model indicated that a shift from present day oligotrophic/mesotrophic conditions to a mesotrophic/eutrophic system could occur by 2080. Management options were evaluated to mitigate against this predicted decline in quality. Reducing nutrient pollution was found to be less effective at suppressing phytoplankton growth than the less costly option of establishing riparian shading. In the Swale tributary, ongoing efforts to reduce phosphorus loads in sewage treatment works will only reduce peak (95th percentile) phytoplankton by 11%, whereas a reduction of 44% is possible if riparian tree cover is also implemented. Likewise, in the lire, whilst reducing nitrate loads by curtailing agriculture in the headwaters may bring about a 10% reduction, riparian shading would instead reduce levels by 47%. Such modelling studies are somewhat limited by insufficient field data but offer a potentially very valuable tool to assess the most cost-effective methods of tackling effects of eutrophication. (C) 2010 Elsevier B.V. All rights reserved.",null,null,null,"The effect of tree shading on water quality"]
[81,"Jeffiries, R., et al. (2003). \"The influence of vegetation and organic debris on flood-plain sediment dynamics: case study of a low-order stream in the New Forest, England.\" Geomorphology 51(1-3): 61-80.","The presence of large woody debris (LWD) has important implications for the physical and ecological behaviour of rivers, and these aspects have been researched extensively in recent years. However, this research has so far focused primarily on interactions between LWD and in-channel processes, and the role of LWD in flood-plain genesis is still poorly understood. Established conceptual models of flood-plain evolution are, therefore, lacking because they neglect the complex interaction between water, sediment, and vegetation in systems with accumulations of LWD. This study examines the effect of LWD on patterns of sediment deposition within a small area of forest flood plain along the Highland Water, S. England. In-channel debris dams locally increase the frequency and extent of overbank flows, and the impact of such dam on flood-plain sedimentation was observed. Nine separate flood events were monitored through the exceptionally wet winter of 2000-2001. During each of these, water and sediment fluxes were quantified and correlated with general rates of overbank sedimentation. Flood-plain topography, vegetation, and LWD were surveyed and related to micro- and mesoscale patterns of sediment accretion. The amount of overbank sediment deposition was correlated most closely with flood hydrology and sediment input. The amounts (0-28 kg m(-2)) and patterns of sediment deposition were both greater and more variable than have been observed on nonforest flood plains. The highly variable pattern of accretion can be explained by the combined effects of topography and organic material present on the surface of the flood plain. (C) 2002 Elsevier Science B.V. All rights reserved.",null,null,null,"The effect of trees on water quantity (flooding)"]
[82,"Johnstone, C. and A. Markandya (2006). \"Valuing river characteristics using combined site choice and participation travel cost models.\" Journal of Environmental Management 80(3): 237-247.","This paper presents new welfare measures for marginal changes in river quality in selected English rivers. The river quality indicators used include chemical, biological and habitat-level attributes. Economic values for recreational use of three types of river-upland, lowland and chalk-are presented. A survey of anglers was carried out and using these data, two travel cost models were estimated, one to predict the numbers of trips and the other to predict angling site choice. These models were then linked to estimate the welfare associated with marginal changes in river quality using the participation levels as estimated in the trip prediction model. The model results showed that higher flow rates, biological quality and nutrient pollution levels affect site choice and influence the likelihood of a fishing trip. Consumer surplus values per trip for a 10% change in river attributes range from 0.04 pound to 3.93 pound (2001) pound depending on the attribute. (c) 2005 Elsevier Ltd. All rights reserved.","Water quality - Recreation - Recreational users"]
[84,"Jones, A. P., et al. (2003). Estimating arrival numbers and values for informal recreational use of British woodlands, Final report to the Forestry Commission.","This report encompasses two interlinked research projects. The first of these investigates the potential for generating transferable models for predicting visito r arrival numbers at woodland recreation sites across Great Britain. The second project sets out to estimate transferable monetary assessments of the value of such woodland visits thr ough a meta-analysis of previous valuation studies.",null,null,"Recreation visitor numbers"]
[83,"Jones, A., et al. (2010). \"Estimating Arrival Numbers for Informal Recreation: A Geographical Approach and Case Study of British Woodlands.\" Sustainability 2(2): 684-701.",null,null,null,"Recreation visitor numbers"]
[85,"Kessel, A., et al. (2009). \"Multidisciplinary research in public health: A case study of research on access to green space.\" Public Health 123(1): 32-38.","Objectives: Quantitative analysis of the physical and demographic parameters of access to Thames Chase Community Forest (TCCF), and how these have changed between 1990 and 2003; and qualitative exploration of our understanding of the links between health and the natural environment (TCCF), with a focus on the issue of 'access' to green space. Study design: Multimethod design involving both quantitative (analysis of physical access to green space) and qualitative (ethnography) components. Methods: Quantitative analysis, using geographical information systems, of physical access to the community forest; and ethnographic research including participant observation, non-participant observation, in-depth interviews and attendance at meetings and conferences. Results: The quantitative analysis showed that public access to green space improved between 1990 and 2003 as a result of the regeneration and acquisition of new areas, and the average reduction in distance to green space was 162 m. However, such improvements were distributed differentially between population groups. In both 1990 and 2003, people from deprived areas and in poorer health had better access to green space than people from less deprived areas, but the greatest improvement in access to green space over this interval occurred in areas of below average deprivation (i.e. in the more affluent areas). The ethnographic research showed different interpretations of the notion of access. Use of TCCF was determined by a variety of factors including whether a person could 'imagine themselves' using such a space, different perceptions of what is actually being accessed (e.g. a place to exercise or a place to socialise), and ideas about using the countryside 'properly'. Conclusions: The health benefits of using a green space, such as TCCF, for walking or exercising are well recognized. However, whether people choose to use local green space may be determined by a variety of factors. These are likely to include physical distance to access of green space, as well as perceptions and understandings of what is being accessed and how it should be used. This study has also illustrate ways in which multiple methods can be integrated in public health research, and the merits of different approaches to undertaking multidisciplinary work of this type. (C) 2008 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.",null,null,null,"The effect of greenspace on health"]
[180,"Kreye, M. M., Adams, D. C., & Escobedo, F. J. (2014). The Value of Forest Conservation for Water Quality Protection. Forests, 5(5), 862-884.","Forests protect water quality by reducing soil erosion, sedimentation, and pollution; yet there is little information about the economic value of conserving forests for water quality protection in much of the United States. To assess this value, we conducted a meta-analysis of willingness-to-pay (WTP) for protecting unimpaired waters, and econometrically determined several significant drivers of WTP: type of conservation instrument (tool), aquatic resource type, geographic context, spatial scale, time, and household income. Using a benefit transfer to two highly forested sites, we illustrate the importance of these factors on WTP for water quality protection programs, forest conservation and policy design."]
[158,"Krupnick et al., (2002) \"Age, Health and the Willingness to Pay for\nMortality Risk Reductions: A Contingent Valuation\nSurvey of Ontario Residents\" The Journal of Risk and Uncertainty, 24:2; 161–186","We present the results of a contingent valuation survey eliciting willingness to pay (WTP) for mortality risk reductions. The survey was self-administered using a computer by 930 persons in Hamilton Ontario aged 40 to 75. Visual and audio aides were used to enhance risk comprehension. Mean WTP figures for a contemporaneous risk reduction imply a value of a statistical life of approximately C$l.2 to C$3.8 million (1999 C$). Mean WTP is constant with age up to 70 years, and is about 30 percent lower for persons aged 70 and older. WTP is unaffected by physical health status, but is affected by mental health.","Mental health, general public"]
[86,"Lawrence, K. S. and J. Spurgeon (2007). Economic evaluation of inland fisheries: Welfare benefits of inland fisheries in England & Wales Environment Agency, Science Report – SC050026/SR1, Bristol, UK.",null,"Water quality - food agriculture and fisheries - Farmers\nWater quantity - food agriculture and fisheries - Farmers"]
[87,"Lindhjem, H., et al. (2014). \"The social benefits and costs of preserving forest biodiversity and ecosystem services.\" Journal of Environmental Economics and Policy 4(2): 202-222.","Ecologists recommend preserving more of the old-growth forests in Norway, as half of the species have forests as their main habitat and many are in decline. We investigate benefits and costs over a 50-year period of increasing forest conservation from 1.4% of the productive forest area (the situation in 2007) to 2.8% (doubling), 4.5% (?ecologists? minimum?) and 10% (one goal suggested in public debate). The benefits are estimated based on a national contingent valuation (CV) survey of Norwegian households. Two independent measures of total costs are used: (1) the actual compensation amounts paid to forest owners and (2) results from a survey of forest owners? minimum willingness to accept compensation to preserve. Results show that social benefits outweigh costs of the three conservation plans by a large margin. The middle option of 4.5% has the highest net present value. This result is robust to a range of assumptions, including considerations of potential hypothetical bias in willingness to pay estimates. The results of this cost?benefit analysis reflect the preferences of the general population, the authorities and the forest owners with respect to biodiversity and ecosystem services conservation, and supplement the expert opinion of ecologists.","Flora, fauna and fungi - Non-use production - People who care"]
[88,"Loomis, J., et al. (2000). \"Measuring the total economic value of restoring ecosystem services in an impaired river basin: results from a contingent valuation survey.\" Ecological Economics 33(1): 103-117.","Five ecosystem services that could be restored along a 45-mile section of the Platte river were described to respondents using a building block approach developed by an interdisciplinary team. These ecosystem services were dilution of wastewater, natural purification of water, erosion control, habitat for fish and wildlife, and recreation. Households were asked a dichotomous choice willingness to pay question regarding purchasing the increase in ecosystem services through a higher water bill. Results from nearly 100 in-person interviews indicate that households would pay an average of $21 per month or $252 annually for the additional ecosystem services. Generalizing this to the households living along the river yields a value of $19 million to $70 million depending on whether those refusing to be interviewed have a zero value or not. Even the lower bound benefit estimates exceed the high estimate of water leasing costs ($1.13 million) and conservation reserve program farmland easements costs ($12.3 million) necessary to produce the increase in ecosystem services. (C) 2000 Elsevier Science B.V. All rights reserved.","Water quality - Housing services - Residential property owners"]
[89,"Lovett, A. A., et al. (1997). \"Improving benefit transfer demand functions: A GIS approach.\" Journal of Environmental Management 51(4): 373-389.","Methodologies for transfer of non-market, natural resource recreation benefits are an active research topic. This arises because of the appeal of modelling the impacts of possible changes in site quality or benefits at unsurveyed sites. However, successful benefit transfer must necessarily rely on development of reliable visitor demand functions that incorporate travel time, demographic and substitute factors. Previous efforts to include all of these elements in a single arrivals model are rare. By integrating data from numerous sources within a geographical information system (GIS) we have developed a model to predict the number of visitors to a recreational woodland in eastern England. Variables were classified into discrete groups that were combined into comparatively homogeneous zones from which to calculate visit rates. Poisson regression techniques were then applied in a stepwise procedure to assess the influence of each determinant. Our analysis highlighted both substantial promise and some caveats in using GIS for future benefit transfer work. (C) 1997 Academic Press Limited.","Presence of environment - Recreation - Recreational users"]
[91,"Lowrance, R., et al. (1984). \"Riparian Forests as Nutrient Filters in Agricultural Watersheds.\" Bioscience 34(6): 374-377.",null,null,null,null,"The effect of riparian buffers on water quality"]
[92,"Lowrance, R., et al. (1995). \"Denitrification in a Restored Riparian Forest Wetland.\" Journal of Environmental Quality 24(5): 808-815.","Groundwater nitrate moving from upland areas toward streams can be removed by denitrification in mature riparian forests, but denitrification in restored riparian forests has not been quantified. We determined denitrification rates in a restored riparian wetland below a liquid manure application site. A riparian forest buffer consisting of hardwoods along the stream and pines above the hardwoods was established according to USDA specifications. Denitrification was measured monthly using the acetylene inhibition technique on intact soil cores for 2 mo before manure application began and for 24 mo after manure application. Groundwater movement of NO3--N and total Kjeldahl N were estimated biweekly. Average annual denitrification rate was 68 kg N2O-N ha(-1)yr(-1). Denitrification was significantly higher in a grassed area than in either of the forested areas. Denitrification did not differ significantly between the hardwood and pine areas. Denitrification was greater than a conservative estimate of groundwater input of total N. Denitrification rates were higher in April and May 1992 and 1993, after manure application to the upland began, compared with April and May 1991, before manure application began. These results indicate that a riparian wetland, which has not undergone hydrologic modifications, can have denitrification rates comparable to mature riparian forests. Higher denitrification rates in an adjacent grassed wetland and lack of differences in denitrification in hardwood and pine zones indicates that the high denitrification rates were due to factors other than the reforestation itself. Compared with groundwater inputs of N, denitrification was an important sink for N moving from the upland management system.",null,null,null,"The effect of riparian buffers on water quality"]
[90,"Lowrance, R., et al. (1997). \"Water quality functions of Riparian forest buffers in Chesapeake Bay watersheds.\" Environmental management 21(5): 687-712.","Maryland, Virginia, and Pennsylvania, USA, have agreed to reduce nutrient loadings to Chesapeake Bay by 40% by the year 2000. This requires control of nonpoint sources of nutrients, much of which comes from agriculture. Riparian forest buffer systems (RFBS) provide effective control of nonpoint source (NPS) pollution in some types of agricultural watersheds. Control of NPS pollution is dependent on the type of pollutant and the hydrologic connection between pollution sources, the RFBS, and the stream. Water quality improvements are most likely in areas of where most of the excess precipitation moves across, in, or near the root zone of the RFBS. In areas such as the Inner Coastal Plain and Piedmont watersheds with thin soils, RFBS should retain 50%-90% of the total loading of nitrate in shallow groundwater, sediment in surface runoff, and total N in both surface runoff and groundwater. Retention of phosphorus is generally much less. In regions with deeper soils and/or greater regional groundwater recharge (such as parts of the Piedmont and the Valley and Ridge), RFBS water quality improvements are probably much less. The expected levels of pollutant control by RFBS are identified for each of nine physiographic provinces of the Chesapeake Bay Watershed. Issues related to of establishment, sustainability, and management are also discussed.",null,null,null,"The effect of riparian buffers on water quality"]
[93,"Maas, J., et al. (2006). \"Green space, urbanity, and health: how strong is the relation?\" Journal of Epidemiology and Community Health 60(7): 587-592.","Study objectives: To investigate the strength of the relation between the amount of green space in people's living environment and their perceived general health. This relation is analysed for different age and socioeconomic groups. Furthermore, it is analysed separately for urban and more rural areas, because the strength of the relation was expected to vary with urbanity. Design: The study includes 250 782 people registered with 104 general practices who filled in a self administered form on sociodemographic background and perceived general health. The percentage of green space ( urban green space, agricultural space, natural green space) within a one kilometre and three kilometre radius around the postal code coordinates was calculated for each household. Methods: Multilevel logistic regression analyses were performed at three levels - that is, individual level, family level, and practice level - controlled for sociodemographic characteristics. Main results: The percentage of green space inside a one kilometre and a three kilometre radius had a significant relation to perceived general health. The relation was generally present at all degrees of urbanity. The overall relation is somewhat stronger for lower socioeconomic groups. Elderly, youth, and secondary educated people in large cities seem to benefit more from presence of green areas in their living environment than other groups in large cities. Conclusions: This research shows that the percentage of green space in people's living environment has a positive association with the perceived general health of residents. Green space seems to be more than just a luxury and consequently the development of green space should be allocated a more central position in spatial planning policy.",null,null,null,"The effect of urban greenspace on health"]
[94,"Macmillan, D. C. (2002). Social & Environmental Benefits of Forestry Phase 2: The Value of Managing Forests to Protect Archaeology, Report to Forestry Commission, Edinburgh.",null,"Flora, fauna and fungi - Spiritual and cultural - Participants\nFlora, fauna and fungi - Spiritual and cultural - People who care\nPresence of environment - Spiritual and cultural - Participants\nPresence of environment - Spiritual and cultural - People who care\nViews - Spiritual and cultural - Participants\nViews - Spiritual and cultural - People who care"]
[95,"Macmillan, D. C. and E. I. Duff (1998). \"Estimating the non-market costs and benefits of native woodland restoration using the contingent valuation method.\" Forestry 71(3): 247-259.","The restoration of native forests is an important priority for forestry and conservation organizations in the United Kingdom. The economic case for public sector support for native woodland restoration in the United Kingdom rests almost entirely on the provision of non-market benefits related to wildlife, landscape and recreational opportunities. This paper describes a discrete choice contingent valuation (CV) to estimate the value of the non-market benefits of restoring two native pinewood forests in Affric and Strathspey. If only the willingness to pay (WTP) of those who supported the restoration plan was considered, the average benefit estimate per household was pound 35 for Affric and pound 53 for Strathspey. When the compensation required by a small proportion of respondents who preferred the current moorland landscape, was estimated mean WTP was unchanged for Affric, but fell to pound 24 for Strathspey. The study highlights the need to take account of non-market benefits and costs when evaluating land use change, otherwise benefits may he overestimated and there is a possibility that the wrong projects will be selected. The sensitivity of CV values to the scope of the environmental change are also investigated and the issue of embedding discussed.","Flora, fauna and fungi - Recreation - Recreational users\nFlora, fauna and fungi - Non-use production - People who care\nViews - Recreation - Recreational users"]
[182,"Maller, C., Townsend, M., Pryor, A., Brown, P., & St Leger, L. (2006). Healthy nature healthy people:‘contact with nature’as an upstream health promotion intervention for populations. Health promotion international, 21(1), 45-54."]
[96,"Manes, F., et al. (2012). \"Urban ecosystem services: tree diversity and stability of tropospheric ozone removal.\" Ecological Applications 22(1): 349-360.","Urban forests provide important ecosystem services, such as urban air quality improvement by removing pollutants. While robust evidence exists that plant physiology, abundance, and distribution within cities are basic parameters affecting the magnitude and efficiency of air pollution removal, little is known about effects of plant diversity on the stability of this ecosystem service. Here, by means of a spatial analysis integrating system dynamic modeling and geostatistics, we assessed the effects of tree diversity on the removal of tropospheric ozone (O-3) in Rome, Italy, in two years (2003 and 2004) that were very different for climatic conditions and ozone levels. Different tree functional groups showed complementary uptake patterns, related to tree physiology and phenology, maintaining a stable community function across different climatic conditions. Our results, although depending on the city-specific conditions of the studied area, suggest a higher function stability at increasing diversity levels in urban ecosystems. In Rome, such ecosystem services, based on published unitary costs of externalities and of mortality associated with O-3, can be prudently valued to roughly US$2 and $3 million/year, respectively.",null,null,null,"The effect of urban trees on air quality"]
[97,"Marzano, M. and N. Dandy (2012). Recreational use of forests and disturbance of wildlife – a literature review, Forestry Commission Research Report. Forestry Commission, Edinburgh: 40.","This review provides an overview of wildlife and habitat disturbance issues and impacts, focusing on recreational activities undertaken in UK forests including walking and hiking, cycling and mountain biking, off-roading, horse riding, camping and nature watching.",null,null,null,"The effect of forest recreation on wildlife"]
[98,"Matthews, R. W. and M. S. J. Broadmeadow (2009). The potential of UK forestry to contribute to Government’s emissions reduction commitments. Combating climate change – a role for UK forests. An assessment of the potential of the UK’s trees and woodlands to mitigate and adapt to climate change. D. J. Read, P. Freer-Smith, J. I. L. Morison et al. Edinburgh: HMSO The Stationery Office: p.139-161.",null,null,null,null,"The effect of forests on emission reductions (climate change) "]
[99,"McDonald, A. G., et al. (2007). \"Quantifying the effect of urban tree planting on concentrations and depositions of PM10 in two UK conurbations.\" Atmospheric Environment 41(38): 8455-8467.","Trees are efficient scavengers of particulate matter and are characterised by higher rates of dry deposition than other land types. To estimate the potential of urban tree planting for the mitigation of urban PM10 concentrations, an atmospheric transport model was used to simulate the transport and deposition of PM10 across two UK conurbations (the West Midlands and Glasgow). Tree planting was simulated by modifying the land cover database, using GIS techniques and field surveys to estimate reasonable planting potentials. The model predicts that increasing total tree cover in West Midlands from 3.7% to 16.5% reduces average primary PM10 concentrations by 10% from 2.3 to 2.1 mu gm(-3) removing 110ton per year of primary PM10 from the atmosphere. Increasing tree cover of the West Midlands to a theoretical maximum of 54% by planting all available green space would reduce the average PM10 concentration by 26%, removing 200 ton of primary PM10 per year. Similarly, for Glasgow, increasing tree cover from 3.6% to 8 % reduces primary PM10 concentrations by 2 %, removing 4 ton of primary PM10 per year. Increasing tree cover to 21 % would reduce primary PM10 air concentrations by 7%, removing 13 ton of primary PM10 per year. (c) 2007 Elsevier Ltd. All rights reserved.",null,null,null,"The effect of urban trees on air quality (PM)"]
[171,"McKay, H. (ed.) (2011) Short Rotation Forestry: review of growth and environmental impacts. Forest Research Monograph, 2, Forest Research, Surrey, 212pp."]
[164,"Milligan, C., & Bingley, A. (2007). Restorative places or scary spaces? The impact of woodland on the mental well-being of young adults. Health & place,13(4), 799-811.","In recent years, there has been a substantial increase in mental health problems amongst young adults in the UK, prompting the British Government to seek to identify services and preventative measures to combat the problem. At the same time, the policy agenda around woodland has shifted away from the agro-forestry agenda that dominated much of the late 20th century toward the development of ‘social forestry’, defined in terms of multi-purpose, multi-benefit woodland that can contribute to an enhanced quality of life and well-being. Against this background of change and policy response, this paper examines the extent to which childhood experiences of play—particularly in wooded landscapes—may influence access to woodland in young adulthood, and the potential implications for their health and mental well-being. Engaging with notions of restoration and therapeutic landscapes literatures, the paper maintains that we cannot accept uncritically the notion that the natural environment is therapeutic. Indeed, from this paper it is clear that a range of influences acts to shape young people's relationship with woodland environments, but not all of these influences do so in positive ways."]
[181,"Mitchell, R., & Popham, F. (2008). Effect of exposure to natural environment on health inequalities: an observational population study. The Lancet, 372(9650), 1655-1660."]
[100,"Moons, E. (2002). Cost- benefit analysis of the location of new forest land, Energy, Transport and Environment Working Papers Series.","In this paper we show how cost-benefit analysis can be used as a decision support mechanism for the location of new (urban) forest land, starting from the multifunctional role of these new forests. We start with a simple presentation of the cost-benefit analysis (CBA) technique. Key features of this evaluation technique are that (i) all - both positive and negative - impacts for all relevant parties (i.e. not only the project promoter) are taken into account and (ii) evaluation occurs on the basis of monetary values. Next, we give an overview of all relevant costs and benefits of afforestation projects for the whole society. On the cost side, we distinguish costs directly related to the afforestation project itself, such as tree planting and forest management on the one hand and opportunity costs on the other hand. On the benefit side we make a distinction between use and non-use values. Use values include timber production, hunting, recreation and ecosystem values. Non-use and option values capture forest benefits that are independent from the actual use made of the forest area. As valuation of recreation and non-use/option values is not straightforward, we discuss their valuation methods in more detail. For valuing recreation the travel cost method (TCM) is the most widely used technique. TCM seeks how the visit frequency responds to changes in the price of a visit. Non-use values can only be valued using the contingent valuation method (CVM). CVM uses survey questions to elicit people's preferences for public goods by finding out what they would be willing to pay for specified changes in them. Finally, we apply the CBA to a real life policy problem. The Flemish government has agreed on a 10.000 ha forest expansion in Flanders, focusing on the multifunction role of forests. In our case study we give an example for the Ghent region (East Flanders). We investigate the net benefits per hectare of combinations of potential forests that meet the surface restriction of 540 ha. We show the importance of including recreation benefits in the evaluation of afforestation projects and more specifically the role of alternative forests (substitutes) in the valuation of one specific forest. We find that this substitution effect is significant in the decision on the location of new forests and leads to a wide variation in the net benefits per hectare of different combinations.",null,"Air quality - Non-use production - People who care\nTimber and fiber - commercial - Foresters\nTimber and fiber - industrial and commercial - Producers\nFlora, fauna and fungi - Food commerical - Hunter gatherers\nFlora, fauna and fungi - Recreation - Recreational users\nFlora, fauna and fungi - Non-use production - People who care"]
[101,"Moons, E., et al. (2008). \"Optimal location of new forests in a suburban region.\" Journal of Forest Economics 14(1): 5-27.","This paper looks at the optimal location of new forests in a suburban region under area constraints. The methodology takes into account use benefits, non-use benefits (both bequest and existence values), opportunity costs of converting agricultural land, as well as planting and management costs of the new forest. The recreational benefits of new forest sites are estimated using function transfer techniques. We show that the net social benefit of the total afforestation project varies up to a factor 6. The recreational value of a site varies considerably with the available substitutes. (C) 2007 Elsevier GmbH. All rights reserved.",null,"Air quality - Non-use production - People who care\nTimber and fiber - commercial - Foresters\nTimber and fiber - industrial and commercial - Producers\nFlora, fauna and fungi - Food commerical - Hunter gatherers\nFlora, fauna and fungi - Recreation - Recreational users\nFlora, fauna and fungi - Non-use production - People who care"]
[102,"Moran, D. and S. Dann (2008). \"The economic value of water use: Implications for implementing the Water Framework Directive in Scotland.\" Journal of Environmental Management 87(3): 484-496.","The European Union Water Framework Directive (WFD) enshrines several economic principles in pursuit of 'good ecological status for Europe's waters and rationalising water use in society. The implicit principle of maximising the social value from use of a scarce resource is reminiscent of the debate about treating water as an economic good, which has competing uses in society. This paper locates the debate about the economic value of water in the requirements of WFD. Specifically, we consider the implications of national reporting requirements for the economic characterisation report that stress the identification of relative value derived from use. As part of the Scottish contribution to the UK reporting exercise, we use a range of secondary data sources to derive economic values for water on a sector basis. We suggest whether the implications of different water values can be followed through in the WFD. (C) 2007 Elsevier Ltd. All rights reserved.","Water quality - food agriculture and fisheries - Farmers\nWater quantity - Industrial and commercial - Producers\nWater quantity - Waste discharge - Commercial property owners\nWater quantity - Hydropower - Power companies\nWater quantity - Drinking water - Water companies\nWater quantity - Recreation - Recreational users"]
[103,"Morison, J. I. L., et al. (2012). Understanding the carbon and greenhouse gas balance of forests in Britain, Forestry Commission Research Report. Forestry Commission, Edinburgh: 149.",null,null,null,null,"Forests and carbon"]
[104,"Morris, J. and M. Camino (2011). \"Economic Assessment of Freshwater, Wetland and Floodplain (FWF) Ecosystem Services \" UK NEA Economics Analysis, Freshwaters.",null,"Water quality - agriculture and fisheries - Farmers\nWater quality - food commerical - hunter gatherers\nWater quality - Recreation - Recreational users\nWater quality - Drinking water - Water companies\nWater quantity - Drinking water - Water companies\nWater quantity - Flood alleviation - Residential property owners\nWater quantity - Flood alleviation - Land owners\nWater quantity - Flood alleviation - Commerical property owners\nViews - Recreation - Recreational users\nFlora, fauna and fungi - non-use production - People who care"]
[159,"Mourato et al., (2010) \"Economic Analysis of Cultural Services\" UK NEA Economic Analysis Report"]
[105,"Myeong, S., et al. (2006). \"A temporal analysis of urban forest carbon storage using remote sensing.\" Remote Sensing of Environment 101(2): 277-282.","Quantifying the carbon storage, distribution, and change of urban trees is vital to understanding the role of vegetation in the urban environment. At present, this is mostly achieved through ground study. This paper presents a method based on the satellite image time series, which can save time and money and greatly speed the process of urban forest carbon storage mapping, and possibly of regional forest mapping. Satellite imagery collected in different decades was used to develop a regression equation to predict the urban forest carbon storage from the Normalized Difference Vegetation Index (NDVI) computed from a time sequence (1985-1999) of Landsat image data. This regression was developed from the 1999 field-based model estimates of carbon storage in Syracuse, NY. The total carbon storage estimates based on the NDVI data agree closely with the field-based model estimates. Changes in total carbon storage by trees in Syracuse were estimated using the image data from 1985, 1992, and 1999. Radiometric correction was accomplished by normalizing the imagery to the 1999 image data. After the radiometric image correction, the carbon storage by urban trees in Syracuse was estimated to be 146,800 tons, 149,430 tons, and 148,660 tons of carbon for 1985, 1992, and 1999, respectively. The results demonstrate the rapid and cost-effective capability of remote sensing-based quantitative change detection in monitoring the carbon storage change and the impact of urban forest management over wide areas. (c) 2005 Elsevier Inc. All fights reserved.",null,null,null,"The effect of urban trees on carbon storage"]
[106,"Nijnik, M., et al. (2013). \"An economic analysis of the establishment of forest plantations in the United Kingdom to mitigate climatic change.\" Forest Policy and Economics 26: 34-42.","This paper addresses the economic dimensions of climate change mitigation by afforestation in the UK and the necessity of reconciling sustainable development with carbon sequestration forest policy initiatives. Present value costs per tonne of carbon sequestration through the creation of new forests are estimated, and results of a static comparative analysis, aiming to show the influence of key variables on the costs, are presented and discussed. The paper provides empirical evidence of the cost effectiveness of the establishment of forest plantations for climate change mitigation in different locations in the UK, identifying also the importance of placing forestry for carbon sequestration in the general context of rural land use, where significant policy reforms can be anticipated. The evidence from this research suggests that the choice of location for forestry development, and of appropriate species and management regimes to be applied, are important factors in determining economic costs. Afforestation with relatively fast growing tree species (e.g. Sitka spruce) on low grade agricultural land (e.g. currently used for sheep grazing) may be a cost effective option. The general conclusion is that there is a case for forestry in the UK to contribute to climate mitigation, that woodlands expansion is likely competitive with other means of removing carbon from the atmosphere, and that in certain cases and locations, afforestation projects may provide relatively low cost options for carbon sequestration. © 2012 Elsevier B.V.",null,null,"Air quality (carbon)"]
[108,"Nisbet, T. R. (2001). \"The role of forest management in controlling diffuse pollution in UK forestry.\" Forest Ecology and Management 143(1-3): 215-226.","Forests and forest management practices have been identified as potentially important non-point sources of water pollution in upland areas of the United Kingdom. The major water quality concerns are recognised as being: increased turbidity and sedimentation due to the soil disturbance accompanying cultivation, drainage, road construction and harvesting operations; increased phosphate concentrations following aerial applications of fertiliser leading to eutrophication of standing waters; and the enhanced capture of acid deposition by forest canopies resulting in further acidification of surface waters. In order to address these concerns the UK Forestry Commission introduced their 'Forests and Water Guidelines' in 1988. The guidelines were prepared by a joint forest and water industry working group and provide advice on working methods and measures that should be taken to ensure that forests not only protect, but also enhance the freshwater environment. This paper reviews the evidence from recent studies in the UK designed to test the efficacy of the guidelines in practice. Results demonstrate that best management practices can be very effective in limiting soil erosion, and so preventing unacceptable increases in turbidity and sedimentation within watercourses. Technological improvements have allowed better targeting of aerial fertiliser applications and, when combined with protective measures such as riparian buffer strips, have helped to reduce the threat of nutrient enrichment. There has also been significant progress in tackling the acidification issue with the critical loads approach being used to identify those areas at risk from a forest acidification effect. Results to date from long-term studies provide support for this approach, although further testing is required. It is concluded that the 'Forests and Water Guidelines' appear to be effective in controlling the threat of diffuse pollution from forestry in the UK. Crown Copyright (C) 2001 Published by Elsevier Science B.V. All rights reserved.",null,null,null,"The effect of trees on water quality"]
[109,"Nisbet, T. R., et al. (2011). Woodland for Water: Woodland measures for meeting Water Framework Directive objectives, Forest Research Monograph, 4, Forest Research, Surrey: 156.",null,null,null,null,"The effect of trees on water quality"]
[107,"Nisbet, T., et al. (2004). A guide to using woodland for sediment control, Forest Research, Farnham, UK.",null,null,null,null,"The effect of trees on water quality (sediment)"]
[167,"Nisbet, T.R. and Evans, C. D. (2014) Forestry and surface water acidification, Research Note FCRN016, Forestry Commission, UK."]
[111,"Nowak, D. J. and D. E. Crane (2002). \"Carbon storage and sequestration by urban trees in the USA.\" Environmental Pollution 116(3): 381-389.","Based on field data from 10 USA cities and national urban tree cover data, it is estimated that urban trees in the coterminous USA currently store 700 million tonnes of carbon ($14,300 million value) with a gross carbon sequestration rate of 22.8 million tC/yr ($460 million/year). Carbon storage within cities ranges from 1.2 million tC in New York, NY, to 19,300 tC in Jersey City, NJ. Regions with the greatest proportion of urban land are the Northeast (8.5%) and the southeast (7.1%). Urban forests in the north central, northeast, south central and southeast regions of the USA store and sequester the most carbon, with average carbon storage per hectare greatest in southeast, north central, northeast and Pacific northwest regions, respectively. The national average urban forest carbon storage density is 25.1 tC/ha, compared with 53.5 tC/ha in forest stands. These data can be used to help assess the actual and potential role of urban forests in reducing atmospheric carbon dioxide, a dominant greenhouse gas. Published by Elsevier Science Ltd.",null,null,null,"The effect of urban trees on air quality (carbon)"]
[110,"Nowak, D. J., et al. (2000). \"A modeling study of the impact of urban trees on ozone.\" Atmospheric Environment 34(10): 1601-1613.","Modeling the effects of increased urban tree cover on ozone concentrations (July 13-15, 1995) from Washington, DC, to central Massachusetts reveals that urban trees generally reduce ozone concentrations in cities, but tend to increase average ozone concentrations in the overall modeling domain. During the daytime, average ozone reductions in urban areas (1 ppb) were greater than the average ozone increase (0.26 ppb) for the model domain. Interactions of the effects of trees on meteorology, dry deposition, volatile organic compound (VOC) emissions, and anthropogenic emissions demonstrate that trees can cause changes in dry deposition and meteorology, particularly air temperatures, wind fields, and boundary layer heights, which, in turn, affect ozone concentrations. Changes in urban tree species composition had no detectable effect on ozone concentrations. Increasing urban tree cover from 20 to 40% led to an average decrease in hourly ozone concentrations in urban areas during daylight hours of 1 ppb (2.4%) with a peak decrease of 2.4 ppb (4.1 %). However, nighttime (20:00-1:00 EST) ozone concentrations increased due to reduced wind speeds and loss of NOx scavenging of ozone from increased deposition of NOx. Overall, 8-hour average ozone concentration in urban areas dropped by 0.5 ppb (1%) throughout the day. (C) 2000 Elsevier Science Ltd. All rights reserved.",null,null,null,"The effect of urban trees on air quality (carbon)"]
[112,"Nowak, D. J., et al. (2001). \"Assessing the value of urban forests in the United States.\" Proceedings of the Society of American Foresters, 2001 National Convention: 237-241.","Urban forests have value to society based upon the structure of the physical resource (e.g., compensation required due to the loss of trees) and tree functions (e.g., air pollution removal by trees). Structural and functional values were estimated for urban forests in the contiguous United States. The estimated structural value of U.S. urban forests is $2.4 trillion. The estimated national value for carbon storage is $14.3 billion, with an annual carbon sequestration value of $460 million.",null,"Air - Housing services - Residential property owners\nAir - Physical health - Population\nAir - Physical health - Health care providers","Air quality (carbon) (urban)"]
[113,"Nowak, D. J., et al. (2014). \"Tree and forest effects on air quality and human health in the United States.\" Environmental Pollution 193: 119-129.","Trees remove air pollution by the interception of particulate matter on plant surfaces and the absorption of gaseous pollutants through the leaf stomata. However, the magnitude and value of the effects of trees and forests on air quality and human health across the United States remains unknown. Computer simulations with local environmental data reveal that trees and forests in the conterminous United States removed 17.4 million tonnes (t) of air pollution in 2010 (range: 9.0-23.2 million t), with human health effects valued at 6.8 billion U.S. dollars (range: $1.5-13.0 billion). This pollution removal equated to an average air quality improvement of less than one percent. Most of the pollution removal occurred in rural areas, while most of the health impacts and values were within urban areas. Health impacts included the avoidance of more than 850 incidences of human mortality and 670,000 incidences of acute respiratory symptoms. Published by Elsevier Ltd.",null,"Air - Housing services - Residential property owners\nAir - Physical health - Population\nAir - Physical health - Health care providers"]
[114,"Perino, G., et al. (2014). \"The Value of Urban Green Space in Britain: A Methodological Framework for Spatially Referenced Benefit Transfer.\" Environmental & Resource Economics 57(2): 251-272.","A meta-analysis of studies valuing urban greenspace in the UK is undertaken to yield spatially sensitive marginal value functions. A geographical information system (GIS) is used to apply these functions to spatial data detailing the location of such greenspace resources in five British cities. Changes in monetary values are computed for the six future scenarios used in the UK National Ecosystem Assessment for the period 2010-2060. Different degrees of substitutability between urban greenspaces are considered. These findings are then extrapolated to all major British cities to obtain per household and aggregate valuation estimates for each scenario both with and without distributional weights. While subject to a number of shortcomings in both data availability and methodology, this represents the first systematic and comprehensive attempt to value marginal changes in urban greenspace while accounting for spatial heterogeneity.",null,"Air - Housing services - Residential property owners\nPresence of the environment - Housing services - Residential property owners\nSound and scent - Housing services - Residential property owners\nViews - Housing services - Residential property owners"]
[115,"Potchter, O., et al. (2006). \"Climatic behavior of various urban parks during hot and humid summer in the Mediterranean city of Tel Aviv, Israel.\" International Journal of Climatology 26(12): 1695-1711.","This study examines the climatic behavior of different designs of urban parks during hot and humid summer conditions, and their influence on human comfort in Tel Aviv, Israel. The research was conducted in three different types of urban parks: a park with grass and a few low trees, a park with medium sized trees and a park with high and wide-canopied trees. The results showed that an urban park that contains high trees with a wide canopy has the maximum cooling effect during daytime, reduces temperatures by up to 3.5 degrees C and lowers heat stress values despite increasing relative humidity values. An urban park that contains dense, medium sized trees can also reduce temperatures during daytime by up to 2.5 degrees C as well as slightly lower heat stress. However, during nighttime it can create uncomfortable climatic conditions owing to the reduction of wind velocity and increase in relative humidity. An urban park covered with grass can be warmer and sometimes even more humid than the built-up area during the day, which increases heat stress values. Copyright (C) 2006 Royal Meteorological Society.",null,null,null,"The effect of urban parks on air temperature"]
[116,"Powe, N. A. and K. G. Willis (2002). Social & Environmental Benefits of Forestry Phase 2 : Mortality and Morbidity Benefits of Air Pollution Absorption by Woodland, Report to Forestry Commission, Edinburgh.",null,"Air - Physical health - Population\nAir - Physical health - Health care providers"]
[117,"Powe, N. A. and K. G. Willis (2004). \"Mortality and morbidity benefits of air pollution (SO2 and PM10) absorption attributable to woodland in Britain.\" Journal of Environmental Management 70(2): 119-128.","Forests in Britain produce social and environmental benefits, in addition to marketable timber outputs. One such non-market benefit is the reduction in air pollution, linked to health impacts (mortality and morbidity). This study assesses the benefits of SO2 and PM10 absorption by trees in terms of extending life expectancy of the population and reducing hospital admissions. Working at a resolution of 1 km(2) with woodland over 2 ha, it is estimated that, for Britain as a whole, woodland saves between 5 and 7 deaths, that would otherwise have been brought forward, and between 4 and 6 hospital admissions each year. The economic value of the health effect of woodland is estimated to be at least 900,000 per year. Smaller areas of woodland, often located closer to population, sometimes strategically planted close to pollution sources, will generate additional air pollution absorption benefits to those estimated here. Researching such benefits would require more detailed data than is available at present for a national study. However, the health benefits of woodland are relatively small in comparison to other non-market forestry benefits. (C) 2003 Elsevier Ltd. All rights reserved.","Air - Physical health - Population\nAir - Physical health - Health care providers"]
[161,"Pretty, J., Peacock, J., Hine, R., Sellens, M., South, N., & Griffin, M. (2007). Green exercise in the UK countryside: Effects on health and psychological well-being, and implications for policy and planning. Journal of environmental planning and management, 50(2), 211-231.","There is evidence that contact with the natural environment and green space promotes good health. It is also well known that participation in regular physical activity generates physical and psychological health benefits. The authors have hypothesised that ‘green exercise’ will improve health and psychological well-being, yet few studies have quantified these effects. This study measured the effects of 10 green exercise case studies (including walking, cycling, horse-riding, fishing, canal-boating and conservation activities) in four regions of the UK on 263 participants. Even though these participants were generally an active and healthy group, it was found that green exercise led to a significant improvement in self-esteem and total mood disturbance (with anger-hostility, confusion-bewilderment, depression-dejection and tension-anxiety all improving post-activity). Self-esteem and mood were found not to be affected by the type, intensity or duration of the green exercise, as the results were similar for all 10 case studies. Thus all these activities generated mental health benefits, indicating the potential for a wider health and well-being dividend from green exercise. Green exercise thus has important implications for public and environmental health, and for a wide range of policy sectors.","physical health\nmental health"]
[162,"Pretty, J., Peacock, J., Sellens, M., & Griffin, M. (2005) \"The mental and physical health outcomes of green exercise\" International journal of environmental health research, 15(5), 319-337.","Both physical activity and exposure to nature are known separately to have positive effects on physical and mental health. We have investigated whether there is a synergistic benefit in adopting physical activities whilst being directly exposed to nature (‘green exercise’). Five groups of 20 subjects were exposed to a sequence of 30 scenes projected on a wall whilst exercising on a treadmill. Four categories of scenes were tested: rural pleasant, rural unpleasant, urban pleasant and urban unpleasant. The control was running without exposure to images. Blood pressure and two psychological measures (self-esteem and mood) were measured before and after the intervention. There was a clear effect of both exercise and different scenes on blood pressure, self-esteem and mood. Exercise alone significantly reduced blood pressure, increased self-esteem, and had a positive significant effect on 4 of 6 mood measures. Both rural and urban pleasant scenes produced a significantly greater positive effect on self-esteem than the exercise-only control. This shows the synergistic effect of green exercise in both rural and urban environments. By contrast, both rural and urban unpleasant scenes reduced the positive effects of exercise on self-esteem. The rural unpleasant scenes had the most dramatic effect, depressing the beneficial effects of exercise on three different measures of mood. It appears that threats to the countryside depicted in rural unpleasant scenes have a greater negative effect on mood than already urban unpleasant scenes. We conclude that green exercise has important public and environmental health consequences.","physical health\nmental health"]
[119,"Quine, C. P. and J. W. Humphrey (2010). \"Plantations of exotic tree species in Britain: Irrelevant for biodiversity or novel habitat for native species?\" Biodiversity and Conservation 19(5): 1503-1512.","Novel or emergent ecosystems arising from human action present both threats and opportunities for biodiversity. It has been suggested that exotic species can \"facilitate\" or \"inhibit\" native biodiversity through habitat modification. In Britain, there is a discussion over the contribution to biodiversity of plantations of exotic conifer species as these are commonly thought to have little relevancy as a habitat for native biodiversity. To address this we compared the species richness of a range of different taxonomic groups (lichens, bryophytes, fungi, vascular plants, invertebrates and songbirds) in exotic and native forest stands of differing structural stages in northern and southern Britain. In terms of overall native species-richness there was no significant difference between the exotic and the native stands. In the north, six species groups showed higher values in the exotic Sitka spruce (Picea sitchensis) stands with the remaining six showing higher values in the native Scots pine (Pinus sylvestris) stands. Most notably, lichen species richness was much lower in the exotic stands compared to the native stands, whereas bryophyte and fungal species richness was proportionately higher in the exotic stands. In the south, five species groups (all invertebrate taxa) showed higher species richness in exotic Norway spruce (Picea abies) stands compared to native oak (Quercus robur) stands. Five species groups had higher species-richness in the oak stands, in particular lichens and fungi. It is concluded that emergent ecosystems of exotic conifer species are not irrelevant to biodiversity. Where already well-established they can provide habitat for native species particularly if native woodland is scarce and biodiversity restoration is an immediate priority. © Springer Science+Business Media B.V. 2009.",null,null,null,"The effect of exotic plantation trees on biodiversity"]
[118,"Quine, C. P., et al. (2011). UK National Ecosystem Assessment, Chapter 8: Woodlands, UNEP-WCMC, Cambridge.",null,"Flora, fauna and fungi - Food commerical - Hunter gatherers\nFlora, fauna and fungi - Food subsistence - Non-timber extractors\nFlora, fauna and fungi - Recreational - Recreational users\nFlora, fauan and fungi - Non-use production - People who care\nPresence of environment - Recreation - Recreational users\nTimber and fiber - Recreation - Recreational users\nTimber and fiber - Food subsistence - Non-timber extractors"]
[120,"Read, D. J., et al. (2009). Combating climate change – a role for UK forests. An assessment of the potential of the UK’s trees and woodlands to mitigate and adapt to climate change, The Stationery Office, Edinburgh.","UK forests and trees have the potential to play an important role in the nation’s response to the challenges of the changing climate. Substantial responses from the UK forestry sector will contribute both to mitigation by abatement of greenhouse gas (GHG) emissions and to adaptation, so ensuring that the multiple benefits of sustainable forestry continue to be provided in the UK.",null,null,null,"The effect of trees on air quality (carbon, climate change)"]
[121,"Regeneris Consulting (2009). The Economic Contribution of The Mersey Forest's Objective One-Funded Investments A Final Report by Regeneris Consulting, Cheshire, UK.","Regeneris Consulting was commissioned by The Mersey Forest in early 2009 to undertake an economic assessment of its interventions funded under the Merseyside Objective 1 Programme. The purpose of the study was to provide an initial quantitative assessment of the range of social, economic and environmental benefits generated by these interventions. The study has been based on a review of the literature and the development of an economic assessment model; no primary research (e.g. visitor surveys) has been carried out. ","Views - Industrial and commercial - Producers\nViews - Housing services - Residential property owners\nViews - Recreation - Recreational users\nFlora, fauna and fungi - Non-use production - People who care\nAir - Physical health - Population\nAir - Physical health - Health care providers\nPresence of environment - Recreation - Recreational users\nPresence of environment - Housing services - Residential property owners"]
[122,"Robinson, M., et al. (2003). \"Studies of the impact of forests on peak flows and baseflows: a European perspective.\" Forest Ecology and Management 186(1–3): 85-97.","Most of the scientific studies of forest impacts on stream flows have been conducted in North America. Many were primarily concerned with felling effects. These have generally found forests to be associated with reducing both peak and low flows. Their results, however, may not necessarily be directly applicable to European forests due to differences in tree species, forest management, catchment physiography and climate. Forests are a major land cover in Europe, and there are plans to promote and further expand the area of European forests. The recent droughts and floods in different parts of Europe have heightened interest in the role of forests on river flow regimes, particularly flood peak and dry weather baseflows. This paper presents the hydrological results from 28 basins across Europe sampling a wide range of forest types, climate conditions and ground conditions. The aim was to determine if forestry can have significant impacts on stream flows and to identify particularly critical situations. The findings highlighted coniferous plantations on poorly drained soils in NW Europe and eucalyptus in Southern Europe as the situations where the most marked changes to flows are likely to occur. In contrast, other forest types, and changes in forest cover at a regional scale will be likely to have a relatively small effect on peak and low flows.",null,null,null,"The effect of trees on water quantity "]
[123,"Rogers, K., et al. (2012). Green Benefits in Victoria Business Improvement District: An analysis of the benefits of trees and other green assets in the Victoria Business Improvement District.",null,null,"Water quantity - Drinking water - Water companies\nWater quantity - Flood alleviation - Residential property owners\nWater quantity - Flood alleviation - Land owners\nWater quantity - Flood alleviation - Commercial property owners\nAir - Physical health - Population\nAir - Physical health - Health care providers"]
[124,"Rolls, S. and T. Sunderland (2014). Microeconomic Evidence for the Benefits of Investment in the Environment 2 (MEBIE2), Natural England Research Reports, Number 057.",null,null,null,"Recreation \nAir quality\nFlood alleviation\nFood \nHealth (physical and mental)\nWater quality"]
[126,"Rumble, H., et al. (2014). Valuing Wrexham’s Urban Forest: Assessing the Ecosystem Services of Wrexham’s Urban Trees: A Technical Report, Forest Research, UK.",null,null,"Water quantity - Drinking water - Water companies\nWater quantity - Flood alleviation - Residential property owners\nWater quantity - Flood alleviation - Land owners\nWater quantity - Flood alleviation - Commercial property owners\nAir - Physical health - Population\nAir - Physical health - Health care providers"]
[125,"Rumble, H., et al. (2015). Valuing urban trees in Glasgow: Assessing the Ecosystem Services of Glasgow’s Urban Forest: A Technical Report, Forest Research, UK.",null,null,"Water quantity - Drinking water - Water companies\nWater quantity - Flood alleviation - Residential property owners\nWater quantity - Flood alleviation - Land owners\nWater quantity - Flood alleviation - Commercial property owners\nAir - Physical health - Population\nAir - Physical health - Health care providers"]
[160,"Ruokolainen, L., Hertzen, L., Fyhrquist, N., Laatikainen, T., Lehtomäki, J., Auvinen, P., ... & Hanski, I. (2015) \"Green areas around homes reduce atopic sensitization in children\" Allergy, 70(2), 195-202."]
[127,"Scarpa, R. (2003). Social & Environmental Benefits of Forestry Phase 2 : The Recreation Value of Woodlands, Report to Forestry Commission, Edinburgh.",null,"Water quality - Recreation - Recreational users\nWater quantity - Recreation - Recreational users\nAir - Recreation - Recreational users\nFlora, fauna and fungi - Recreation - Recreational users\nPresence of environment - Recreation - Recreational users\nSound and scent - Recreation - Recreational users\nViews - Recreation - Recreational users\nSoil - Recreation - Recreational users\nTimber and fiber - Recreation - Recreational users"]
[129,"Schaafsma, M., et al. (2012). \"Towards transferable functions for extraction of Non-timber Forest Products: A case study on charcoal production in Tanzania.\" Ecological Economics 80: 48-62.","Mapping the distribution of the quantity and value of forest benefits to local communities is useful for forest management, when socio-economic and conservation objectives may need to be traded off. We develop a modelling approach for the economic valuation of annual Non-Timber Forest Product (NTFP) extraction at a large spatial scale, which has 4 main strengths: (1) it is based on household production functions using data of actual household behaviour, (2) it is spatially sensitive, using a range of explanatory variables related to socio-demographic characteristics, population density, resource availability and accessibility, (3) it captures the value of the actual flow rather than the potential stock, and (4) it is generic and can therefore be up-scaled across non-surveyed areas. We illustrate the empirical application of this approach in an analysis of charcoal production in the Eastern Arc Mountains of Tanzania, using a dataset comprising over 1100 observations from 45 villages. The total flow of charcoal benefits is estimated at USD 14 million per year, providing an important source of income to local households, and supplying around 11% of the charcoal used in Dar es Salaam and other major cities. We discuss the potential and limitations of up-scaling micro-level analysis for NTFP valuation. Crown Copyright (c) 2012 Published by Elsevier B.V. All rights reserved.","Flora, fauna and fungi - Food subsistence - Non-timber extractors\nSoil - Food subsistence - Non-timber extractors\nTimber and fiber - Food subsistence - Non-timber extractors"]
[128,"Schaafsma, M., et al. (2014). \"The importance of local forest benefits: Economic valuation of Non-Timber Forest Products in the Eastern Arc Mountains in Tanzania.\" Global Environmental Change-Human and Policy Dimensions 24: 295-305.","Understanding the spatial distribution of the quantity and economic value of Non-Timber Forest Product (NTFP) collection gives insight into the benefits that local communities obtain from forests, and can inform decisions about the selection of forested areas that are eligible for conservation and enforcement of regulations. In this paper we estimate transferable household production functions of NTFP extraction in the Eastern Arc Mountains (EAM) in Tanzania, based on information from seven multi-site datasets related to the behaviour of over 2000 households. The study shows that the total benefit flow of charcoal, firewood, poles and thatch from the EAM to the local population has an estimated value of USD 42 million per year, and provides an important source of additional income for local communities, especially the poorest, who mainly depend on subsistence agriculture. The resulting map of economic values shows that benefits vary highly across space with population density, infrastructure and resource availability. We argue that if further restrictions on forest access to promote conservation are considered, this will require additional policies to prevent a consequent increase in poverty, and an enforced trade-off between conservation and energy supply to rural and urban households. Crown Copyright (C) 2013 Published by Elsevier Ltd. All rights reserved.","Flora, fauna and fungi - Food subsistence - Non-timber extractors\nSoil - Food subsistence - Non-timber extractors\nTimber and fiber - Food subsistence - Non-timber extractors"]
[130,"Sen, A., et al. (2014). \"Economic Assessment of the Recreational Value of Ecosystems: Methodological Development and National and Local Application.\" Environmental & Resource Economics 57(2): 233-249.","We present a novel methodology for spatially sensitive prediction of outdoor recreation visits and values for different ecosystems. Data on outset and destination characteristics and locations are combined with survey information from over 40,000 households to yield a trip generation function (TGF) predicting visit numbers. A new meta-analysis (MA) of relevant literature is used to predict site specific per-visit values. Combining the TGF and MA models permits spatially explicit estimation of visit numbers and values under present and potential future land use. Applications to the various land use scenarios of the UK National Ecosystem Assessment, as well as to a single site, are presented.","Water quality - Recreation - Recreational users\nWater quantity - Recreation - Recreational users\nAir - Recreation - Recreational users\nFlora, fauna and fungi - Recreation - Recreational users\nPresence of environment - Recreation - Recreational users\nSound and scent - Recreation - Recreational users\nViews - Recreation - Recreational users\nSoil - Recreation - Recreational users\nTimber and fiber - Recreation - Recreational users"]
[175,"Shalhevet, J. (1994) Using water of marginal quality for crop production: major issues, Agricultural Water Management, Volume 25, Issue 3, Pages 233-269, http://dx.doi.org/10.1016/0378-3774(94)90063-9.","A considerable amount of data is available regarding the effect of soil salinity on crop yield. Most of the data was obtained under uniform spatial and temporal distribution of salts, at high levels of fertility and with crop established prior to the introduction of saline conditions. In practice, under realistic field conditions, uniformity is the exception rather than the rule, soil fertility may not be optimal and salinity may be present before the crop is established. In addition, crops may have different sensitivities at different stages of growth. This review attempts to answer the principal questions which are relevant to the use of marginal quality water for irrigation."]
[131,"Shashua-Bar, L. and M. E. Hoffman (2000). \"Vegetation as a climatic component in the design of an urban street: An empirical model for predicting the cooling effect of urban green areas with trees.\" Energy and Buildings 31(3): 221-235.","The cooling effect of small urban green wooded sites of various geometric configurations in summer is the object of this study. It was studied experimentally at 11 different wooded sites in the Tel-Aviv urban complex during the period July–August 1996. An empirical model is developed in this study for predicting the cooling effect inside the wooded sites. The model is based on the statistical analysis carried out on 714 experimental observations gathered each hour from the 11 sites on calm days, when urban climate is expressed. Two factors were found to explain over 70% of the air temperature variance inside the studied green site, namely, the partial shaded area under the tree canopy and the air temperature of the non-wooded surroundings adjoining the site. The specific cooling effect of the site due to its geometry and tree characteristics, besides the shading, was found to be relatively small, about 0.5 K, out of an average cooling of about 3 K at noon. The cooling effect of the green wooded areas on their immediate surroundings at noon was also analyzed. The findings corroborate earlier studies that the range is noticeable. At small green sites, the cooling effect estimated in this study is perceivable up to about 100 m in the streets branching out from the site. The empirical findings in this study permit development of tools for incorporating the climatic effects of green areas in the urban design. Some policy measures are proposed accordingly, for alleviating the “heat island” effect in the urban environment.",null,null,null,"The effect of urban trees on air temperature"]
[132,"Smailes, P. J. and D. L. Smith (2001). \"The growing recreational use of state forest lands in the Adelaide hills.\" Land Use Policy 18(2): 137-152.","Pine forests in the Adelaide Hills, originally planted and managed as a source of timber, have become important as a recreation destination, close to the Adelaide urban area, with free public access. A count of forest visitors was carried out over a 12 month period, and a sample interviewed, to determine their main activities, place of residence and socio-economic characteristics. Comparison with the results of a previous study suggest that forest visiting has been increasing at about 8% per year. A dollar value For recreational use was estimated using the travel-cost technique, suggesting a 1996/7 ratio of about 1:3.5 between recreation use value and the gross value of timber delivered to the mill. Results confirm the importance of continued public ownership and of continued land enhanced) multi-use management strategies. (C) 2001 Elsevier Science Ltd. All rights reserved.",null,"Water quality - Recreation - Recreational users\nWater quantity - Recreation - Recreational users\nAir - Recreation - Recreational users\nFlora, fauna and fungi - Recreation - Recreational users\nPresence of environment - Recreation - Recreational users\nSound and scent - Recreation - Recreational users\nViews - Recreation - Recreational users\nSoil - Recreation - Recreational users\nTimber and fiber - Recreation - Recreational users"]
[133,"Soares, A. L., et al. (2011). \"Benefits and costs of street trees in Lisbon, Portugal.\" Urban Forestry & Urban Greening 10(2): 69-78.","It is well known that urban trees produce various types of benefits and costs. The computer tool i-Tree STRATUM helps quantify tree structure and function, as well as the value of some of these tree services in different municipalities. This study describes one of the first applications of STRATUM outside the U.S. Lisbon's street trees are dominated by Celtis australis L, Tilia spp., and Jacaranda mimosifolia D. Don, which together account for 40% of the 41,247 trees. These trees provide services valued at $8.4 million annually, while $1.9 million is spent in their maintenance. For every $1 invested in tree management, residents receive $4.48 in benefits. The value of energy savings ($6.20/tree), CO2 reduction ($0.33/tree) and air pollutant deposition ($5.40/tree) were comparable to several other U.S. cities. The large values associated with stormwater runoff reduction ($47.80/tree) and increased real estate value ($144.70/tree) were substantially greater than values obtained in U.S. cities. Unique aspects of Lisbon's urban morphology and improvement programs are partially responsible for these differences. (C) 2011 Elsevier GmbH. All rights reserved.",null,"Water quantity - Drinking water - Water companies\nWater quantity - Flood alleviation - Residential property owners\nWater quantity - Flood alleviation - Land owners\nWater quantity - Flood alleviation - Commercial property owners\nAir - Physical health - Population\nAir - Physical health - Health care providers"]
[134,"Stovin, V. R., et al. (2008). \"Street Trees and Stormwater Management.\" Arboricultural Journal 30(4): 297-310.","Abstract Urban trees play an important role in the urban hydrological cycle. Yet little consideration has been given in the UK either to the increasing pressures that act to reduce urban tree cover or the opportunities that might be provided by land-use planning policies to increase it. Research in North America, particularly by American Forests (2007), suggests that urban tree cover may be directly equated to stormwater volumes and, therefore, to the costs of providing engineered structures for stormwater management. Tree planting policies have been justified on the financial benefits associated with their stormwater management function alone, notwithstanding the broader spectrum of benefits they provide within the urban environment. This paper presents preliminary research aimed at transferring these findings into a UK context. Two residential morphology units (RMUs) have been defined within the city of Sheffield, for which current levels of tree cover have been accurately quantified. Current tree cover levels are relatively low, but approaches to integrating more trees into these two landscape types are outlined. Urban trees play an important role in the urban hydrological cycle. Yet little consideration has been given in the UK either to the increasing pressures that act to reduce urban tree cover or the opportunities that might be provided by land-use planning policies to increase it. Research in North America, particularly by American Forests (2007), suggests that urban tree cover may be directly equated to stormwater volumes and, therefore, to the costs of providing engineered structures for stormwater management. Tree planting policies have been justified on the financial benefits associated with their stormwater management function alone, notwithstanding the broader spectrum of benefits they provide within the urban environment. This paper presents preliminary research aimed at transferring these findings into a UK context. Two residential morphology units (RMUs) have been defined within the city of Sheffield, for which current levels of tree cover have been accurately quantified. Current tree cover levels are relatively low, but approaches to integrating more trees into these two landscape types are outlined.",null,null,null,"The effect of urban trees and stormwater"]
[135,"Strohbach, M. W. and D. Haase (2012). \"Above-ground carbon storage by urban trees in Leipzig, Germany: Analysis of patterns in a European city.\" Landscape and Urban Planning 104(1): 95-104.","Many aspects of global change, including carbon dioxide emissions, have been attributed to urban areas. On the other hand, cities have been found to provide valuable ecosystem services such as carbon storage. The aim of this study is to estimate the above-ground carbon storage in trees in the central European city of Leipzig and produce spatially explicit carbon storage maps. We used stratified random sampling across 19 land cover classes using 190 sample plots to measure carbon storage. In addition, we derived canopy cover from color-infrared orthophotos using an object-oriented approach and Random Forest machine learning. Finally, we apply an error assessment method that includes sampling error, but also uncertainty stemming from allometric equations, and that so far has only been applied to rural forests. The total above ground carbon stock of Leipzig was estimated using both land cover and canopy cover, which was more laborious than just using land cover but reduced the standard error. Canopy cover was approximately 19% of the city area. Leipzig's above-ground carbon storage was estimated to be 316,000 Mg C at 11 Mg C ha(-1). The distribution of carbon storage across the city showed the highest values at intermediate urbanization levels. Carbon storage in the city of Leipzig was in the lower range compared to cities in Europe, Asia and the USA, and our results indicate that great care should be taken when transferring values between cities. We provide spatially explicit and detailed maps of above-ground storage that can contribute to ecosystem services assessments. (C) 2011 Elsevier B.V. All rights reserved.",null,null,null,"Urban trees and carbon storage"]
[136,"Tallis, M., et al. (2011). \"Estimating the removal of atmospheric particulate pollution by the urban tree canopy of London, under current and future environments.\" Landscape and Urban Planning 103(2): 129-138.","Urban green space and particularly the tree canopy have been highlighted as offering a mitigation potential against atmospheric particulate pollution. In this paper current and future particulate (PM(10)) deposition to the urban tree canopy of the Greater London Authority (GLA) was estimated. A modelling approach was used based on the Urban Forest Effects Model (UFORE) and a modified version. Here we give evidence showing that these deposition models can be adapted to run from annual mean meteorological and PM(10) concentration data, thus providing a methodology to examine future scenarios. Depending on the modelling approach, the urban canopy of the GLA is currently estimated to remove between 852 and 2121 tonnes of PM(10) annually: representing between 0.7% and 1.4% of PM(10) from the urban boundary layer. Estimates of PM(10) removal which take into account a planned increased in tree cover, from the current 20% to 30% of the GLA land area, suggest deposition of 1109-2379 tonnes (1.1-2.6% removal) by the year 2050. The evidence provided here suggests that the targeting of tree planting in the most polluted areas of the GLA and particularly the use of street trees which have the greatest exposure to PM(10), would have the greatest benefit to future air quality. The increased deposition would be greatest if a larger proportion of coniferous to broadleaved trees were used at such sites. (C) 2011 Elsevier B.V. All rights reserved.",null,null,null,"The effect of urban trees on air quality (PM) in London"]
[137,"Termansen, M., et al. (2013). \"Modelling and mapping spatial heterogeneity in forest recreation services.\" Ecological Economics 92: 48-57.","Modelling and spatial mapping of recreation services require attention to both demand and supply factors. This paper combines recreational choice modelling and economic valuation with GIS based techniques to allow an assessment of the spatial diversity of the value of forest recreation services. The data for the analysis is a national study of the car borne recreational use of Danish forest sites. A random utility framework is used and a comparison between the standard fixed coefficient model and a mixed logit model is made. The results show that the different specifications of the random utility models reveal similar preferences for the measured forest attributes in terms of sign and magnitude. The spatial predictions, however, reveal a considerable difference in the spatial pattern of economic benefits from recreation between the two models. These results have implications for current ecosystem service mapping initiatives as they emphasise the need to account for spatial heterogeneity in preferences, and aggregate demand and environmental attributes and infrastructure. (C) 2013 Elsevier B.V. All rights reserved.","Water quality - Recreation - Recreational users\nWater quantity - Recreation - Recreational users\nAir - Recreation - Recreational users\nFlora, fauna and fungi - Recreation - Recreational users\nPresence of environment - Recreation - Recreational users\nSound and scent - Recreation - Recreational users\nViews - Recreation - Recreational users\nSoil - Recreation - Recreational users\nTimber and fiber - Recreation - Recreational users"]
[138,"The Research Box, et al. (2009). Experiencing Landscapes: capturing the cultural services and experiential qualities of landscape, A Natural England Commissioned Report NECR024.","Natural England commissioned extensive qualitative social research to provide baseline evidence of the cultural services and experiential qualities that landscapes provide. It is generally recognised that England’s landscapes provide a range of ‘services’ which contribute to people’s quality of life, including spiritual enrichment, cognitive development, reflection, recreation and aesthetic enjoyment. A key aim was to understand whether such services correlate to particular landscape characteristics or particular landscape features. ",null,null,"Spiritual and cultural services"]
[139,"Thomas, H. and T. R. Nisbet (2007). \"An assessment of the impact of floodplain woodland on flood flows.\" Water and Environment Journal 21(2): 114-126.","This paper examines the potential role of floodplain woodland in flood alleviation. In theory, the presence of trees and associated woody debris on the floodplain increases the hydraulic roughness, thus slowing down flood flows and enhancing flood storage. One and two-dimensional models were used to simulate a 2.2 km reach of river in south-west England to test this theory for a 1 in 100 year flood using appropriate roughness parameters. Both models predicted a reduction in water velocity within the woodland, increasing water level by up to 270 mm and creating a backwater effect that extended nearly 400 m upstream. Flood storage increased by 15 and 71%, while flood peak travel time was increased by 30 and 140 min for the two scenarios simulated. The results suggest that there is considerable scope for using strategically placed floodplain woodland to alleviate downstream flooding. In particular, it offers a means of tackling the increased flood risk associated with climate change.",null,null,null,"The effect of trees on water quantity"]
[140,"Thorsen, B. J., et al. (2014). The Provision of Forest Ecosystem Services, Volume I: Quantifying and valuing non-marketed ecosystem services, European Forest Institute.",null,null,null,"Drinking water (quality and quantity) \nBiodiversity\nRecreation\nCarbon sequestration"]
[141,"Tinch, R., et al. (2009). Economic valuation of uplands ecosystem services, A Natural England Commissioned Report NECR029.","The scope of this research is to examine the use of economic valuation techniques for valuing the ecosystem service changes due to upland management interventions and policies at a wide range of scales. Applications could range from ‘simple‘ valuation of a farm-scale forestry project, to highly complex combinations of policies at different locations across a whole catchment or national park and wider. The research aims to develop a methodology and to test its applicability to a number of management changes at a range of scales. The results will lead to recommendations about where and how to apply economic valuation techniques for uplands ecosystem services, and point to where further research is most needed.","Flora, fauna and fungi - Non-use production - People who care\nFlora, fauna and fungi - Recreation - Recreational users\nPresence of environment - Spiritual and cultural - People who care\nViews - Spiritual and cultural - People who care\nWater quality - Recreation - Recreational users\nWater quantity - Recreation - Recreational users\nAir - Recreation - Recreational users\nFlora, fauna and fungi - Recreation - Recreational users\nPresence of environment - Recreation - Recreational users\nSound and scent - Recreation - Recreational users\nViews - Recreation - Recreational users\nSoil - Recreation - Recreational users\nTimber and fiber - Recreation - Recreational users"]
[142,"Tiwary, A., et al. (2009). \"An integrated tool to assess the role of new planting in PM10 capture and the human health benefits: A case study in London.\" Environmental Pollution 157(10): 2645-2653.","The role of vegetation in mitigating the effects of PM10 pollution has been highlighted as one potential benefit of urban greenspace. An integrated modelling approach is presented which utilises air dispersion (ADMS-Urban) and particulate interception (UFORE) to predict the PM10 concentrations both before and after greenspace establishment, using a 10 x 10 km area of East London Green Grid (ELGG) as a case study. The corresponding health benefits, in terms of premature mortality and respiratory hospital admissions, as a result of the reduced exposure of the local population are also modelled. PM10 capture from the scenario comprising 75% grassland, 20% sycamore maple (Acer pseudoplatanus L) and 5% Douglas fir (Pseudotsuga menziesii (Mirb.) Franco) was estimated to be 90.41 t yr(-1), equating to 0.009 t ha(-1) yr(-1) over the whole study area. The human health modelling estimated that 2 deaths and 2 hospital admissions would be averted per year. Crown Copyright (C) 2009 Published by Elsevier Ltd. All rights reserved.",null,"Air - Physical health - Population\nAir - Physical health - Health care providers"]
[143,"Tyrvainen, L. (1997). \"The amenity value of the urban forest: An application of the hedonic pricing method.\" Landscape and Urban Planning 37(3-4): 211-222.","The majority of urban forest benefits represent non-consumptive use values, which include benefits derived from pleasant landscape, clean air, peace and quiet and screening, as well as recreational activities. The hedonic pricing method examines external benefits and costs of urban forests associated with housing. This investigation studied whether and how urban forest benefits are capitalized in property prices. It also searches for suitable variables for describing the green space benefits in hedonic pricing studies. Apartment sales data (1006 apartments) were collected in Joensuu, a town of 48000 inhabitants in North Carelia, Finland. Hedonic models were designed to explain purchase prices. Apartment characteristics, location, and environmental quality variables were used as explanatory variables in the models. Environmental and locality data were measured with respect to each specific house. Results indicate that urban forests are an appreciated environmental characteristic and that their benefits are reflected in the property prices. Proximity of watercourses and wooded recreation areas as well as increasing proportion of total forested area in the housing district had a positive influence on apartment price. However, the effect of small forest parks was not clear. The range of the variable values was small, because there were many small wooded green spaces in the study locale. In addition, data concerning the views from the apartment or the composition of the forests was not available. (C) Elsevier Science B.V.",null,"Water quality - Housing services - Residential property owners\nWater quantity - Housing services - Residential property owners\nAir - Housing services - Residential property owners\nFlora, fauna and fungi - Housing services - Residential property owners\nPresence of environment - Housing services - Residential property owners\nSound and scent - Housing services - Residential property owners\nViews - Housing services - Residential property owners\nSoil - Housing services - Residential property owners\nTimber and fiber - Housing services - Residential property owners"]
[144,"Tyrväinen, L. (2001). \"Economic valuation of urban forest benefits in Finland.\" Journal of Environmental Management 62(1): 75-92.","Urban development projects may cause loss of amenity values of green areas, which should be taken into consideration in planning. Therefore, quantitative information on residents’ valuation concerning urban forests is needed for assessing urban land use. The purpose of this investigation was to study the valuation of urban forests in two different urban environments Joensuu and Salo, Finland. The aims were to study the attitudes towards and benefits related to the use of urban forests and, in particular, to measure the valuations in monetary terms using contingent valuation, i.e. measure the residents’ willingness-to-pay for larger wooded recreation areas and for small forested parks. Urban forests were seen in both towns as clearly producing positive benefits rather than causing negative effects. The negative features of forests were related to the management of the areas rather than their existence. The main values were related to nature and social functions of forests. In contrast, timber production achieved a distinctively low priority in both study towns. The results stress the importance of defining urban forest policies for municipalities in Finland. More than two-thirds of the respondents were willing to pay for the use of recreation areas. Good location and active management raised the average WTP. Moreover, approximately half of the respondents were willing to pay for preventing construction in urban forests. The results also show that the monetary value of amenity benefits in recreation areas is much higher than the present maintenance costs. The examples concerning the advantageousness of construction on green areas suggest that a limit could be found where the infill of housing areas is not worthwhile from the point of view of society, if the losses of green space benefits are taken into account.",null,"Water quality - Recreation - Recreational users\nWater quantity - Recreation - Recreational users\nAir - Recreation - Recreational users\nFlora, fauna and fungi - Recreation - Recreational users\nPresence of environment - Recreation - Recreational users\nSound and scent - Recreation - Recreational users\nViews - Recreation - Recreational users\nSoil - Recreation - Recreational users\nTimber and fiber - Recreation - Recreational users"]
[145,"Tyrväinen, L. and A. Miettinen (2000). \"Property Prices and Urban Forest Amenities.\" Journal of Environmental Economics and Management 39(2): 205-223.","Quantitative information on residents' valuations attached to urban forests is needed for assessing urban land-use. The aim of this study is to value implicitly non-priced urban forest amenities by comparing dwelling prices and specific amounts of amenities associated with dwelling units. The empirical study is based on data from the sales of terraced houses in the district of Salo in Finland. According to the estimation results a one kilometer increase in the distance to the nearest forested area leads to an average 5.9 percent decrease in the market price of the dwelling. Dwellings with a view onto forests are on average 4.9 percent more expensive than dwellings with otherwise similar characteristics.",null,"Water quality - Housing services - Residential property owners\nWater quantity - Housing services - Residential property owners\nAir - Housing services - Residential property owners\nFlora, fauna and fungi - Housing services - Residential property owners\nPresence of environment - Housing services - Residential property owners\nSound and scent - Housing services - Residential property owners\nViews - Housing services - Residential property owners\nSoil - Housing services - Residential property owners\nTimber and fiber - Housing services - Residential property owners"]
[146,"Tyrväinen, L. and H. Väänänen (1998). \"The economic value of urban forest amenities: an application of the contingent valuation method.\" Landscape and Urban Planning 43(1–3): 105-118.","Green spaces have important amenity values contributing to the quality of urban life. The deconstruction of green spaces cause negative externalities e.g. the loss of non-priced benefits. In land-use planning, therefore, amenity values should be systematically assessed and measured commensurately, i.e. in monetary terms with material values. This paper discusses the suitability of the contingent valuation method in assessing urban forest benefits, and presents the main results of an empirical study conducted in Joensuu, the capital of North Carelia, Finland. The study was designed to measure the use-values of urban wooded recreation areas, and the residents' willingness to pay for small forest parks contributing to the quality of the housing environment. The results suggest that most visitors were willing to pay for the use of wooded recreation areas. Furthermore, approximately half of the respondents were willing to pay to prevent the conversion of forested parks to another land-use. The results can be used to assess the profitability of the management of urban forests. In addition, the results are useful in assessing the value of green space benefits in different land use options.",null,"Water quality - Recreation - Recreational users\nWater quantity - Recreation - Recreational users\nAir - Recreation - Recreational users\nFlora, fauna and fungi - Recreation - Recreational users\nPresence of environment - Recreation - Recreational users\nSound and scent - Recreation - Recreational users\nViews - Recreation - Recreational users\nSoil - Recreation - Recreational users\nTimber and fiber - Recreation - Recreational users"]
[147,"Valatin, G. (2010). Forests and carbon: valuation, discounting and risk management, Forestry Commission Research Report. Forestry Commission, Edinburgh.",null,null,null,"Air quality (carbon)"]
[148,"Valatin, G. and J. Starling (2010). UK NEA Economic Analysis Report: Valuation of ecosystem services provided by UK woodlands UNEP-WCMC, Cambridge.",null,"Flora, fauna and fungi - Recreation - Recreational users\nFlora, fauna and fungi - Food commercial - Hunter gatherers\nFlora, fauna and fungi - Food subsistence - Non-timber extractors\nTimber and fiber - Timber commericial - Foresters\nTimber and fiber - Timber subsistence - Foresters",null,"Air quality (carbon)"]
[149,"van Kooten, G. C. and B. Sohngen (2007). \"Economics of forest ecosystem carbon sinks: A review.\" International Review of Environmental and Resource Economics 1(3): 237-269.","Carbon terrestrial sinks are seen as a low-cost alternative to fuel switching and reduced fossil fuel use for lowering atmospheric CO2. In this study, we review issues related to the use of terrestrial forestry activities to create CO2 offset credits. To gain a deeper understanding of the confusing empirical studies of forest projects to create carbon credits under Kyoto, we employ meta-regression analysis to analyze conditions under which forest activities generate CO2-emission reduction offsets at competitive \"prices.\" In particular, we examine 68 studies of the costs of creating carbon offsets using forestry. Baseline estimates of costs of sequestering carbon are some US$3-$280 per tCO2, indicating that the costs of creating CO2-emission offset credits through forestry activities vary wildly. Intensive plantations in the tropics could potentially yield positive benefits to society, but in Europe similar projects could cost as much as $195/tCO2. Indeed, Europe is the highest cost region, with costs in the range of $50-$280 per tCO2. This might explain why Europe has generally opposed biological sinks as a substitute for emissions reductions, while countries rush to finance forestry sector clean development mechanism projects. In Canada and the U.S., carbon sequestration costs range from a low of about $2 to nearly $80 per tCO2. One conclusion is obvious: some forestry projects to sequester carbon are worthwhile undertaking, but certainly not all. © 2007 G. Cornelis van Kooten and Brent Sohngen.",null,null,"Air quality (carbon)"]
[172,"Vellidis, G., Lowrance, R., Gay, P., & Hubbard, R. K. (2003). Nutrient transport in a restored riparian wetland. Journal of Environmental Quality, 32(2), 711-726.","We determined the water quality effect of a restored forested riparian wetland adjacent to a manure application area and a heavily fertilized pasture in the Georgia Coastal Plain. The buffer system was managed based on USDA recommendations and averaged 38 m in width. Water quality and hydrology data were collected from 1991–1999. A nitrate plume in shallow ground water with concentrations exceeding 10 mg NO3–N L−1 moved into the restored forested riparian wetland. Along most of the plume front, concentrations were less than 4 mg NO3–N L−1 within 25 m. Two preferential flow paths associated with past hydrologic modifications to the site allowed the nitrate plume to progress further into the restored forested riparian wetland. Surface runoff total N, dissolved reactive phosphorus (DRP), and total P concentrations averaged 8.63 mg N L−1, 1.37 mg P L−1, and 1.48 mg P L−1 , respectively, at the field edge and were reduced to 4.18 mg N L−1, 0.31 mg P L−1, and 0.36 mg P L−1 , respectively, at the restored forested riparian wetland outlet. Water and nutrient mass balance showed that retention and removal rates for nitrogen species ranged from a high of 78% for nitrate to a low of 52% for ammonium. Retention rates for both DRP and total P were 66%. Most of the N retention and removal was accounted for by denitrification. Mean annual concentrations of total N and total P leaving the restored forested riparian wetland were 1.98 mg N L−1 and 0.24 mg P L−1, respectively."]
[150,"Verkerk, P. J., et al. (2014). \"Assessing impacts of intensified biomass production and biodiversity protection on ecosystem services provided by European forests.\" Ecosystem Services 9: 155-165.","To develop viable strategies for intensifying the use of forest biomass and for increasing forest protection, impacts on ecosystem services need to be assessed. We investigated the biophysical and economic impacts of increased forest biomass production and biodiversity protection on forest ecosystem services. The European Forest Information SCENario (EFISCEN) model was applied for 26 European countries. Three different scenarios were considered: a reference scenario (no policy changes, a moderate increase in roundwood, residue and stump biomass production), a wood energy scenario (enhanced roundwood, residue and stump biomass production to achieve national renewable energy targets), and a biodiversity scenario (setting aside 5% of the forest area with restrictions on wood production combined with biodiversity-friendly management on the remaining area). The impacts were assessed by analyzing impacts on provisioning (roundwood production and residue and stump biomass production) and other services (carbon storage, deadwood and recreation) for the period 2010–2030. We found that roundwood, residue and stump biomass production could be intensified, but there are trade-offs with non-marketed ecosystem services. Increasing biomass production could lead to a net societal benefit in 2030. However, larger benefits would be obtained within Europe if forest biodiversity protection is enhanced.","Timber and fiber - Timber products - Foresters\nTimber and fiber - Industrial and commercial - Producers\nWater quality - Recreation - Recreational users\nWater quantity - Recreation - Recreational users\nAir - Recreation - Recreational users\nFlora, fauna and fungi - Recreation - Recreational users\nPresence of environment - Recreation - Recreational users\nSound and scent - Recreation - Recreational users\nViews - Recreation - Recreational users\nSoil - Recreation - Recreational users\nTimber and fiber - Recreation - Recreational users"]
[176,"Walker, B., Pearson, L., Harris, M., Maler, K. G., Li, C. Z., Biggs, R., & Baynes, T. (2010). Incorporating resilience in the assessment of inclusive wealth: an example from South East Australia. Environmental and Resource Economics, 45(2), 183-202.","This paper explores the consequences of changes in a system’s resilience on the sustainability of resource allocation decisions, as measured by Inclusive Wealth (IW) (Arrow et al. in Environ Resour Econ 26:647–685, 2003). We incorporate an estimate of resilience in IW by taking account of known or suspected thresholds that can lead to irreversible (or practically irreversible) changes in the productivity and value of assets and hence social welfare. These thresholds allow us to identify policies or projects that may be leading to an increased risk of decline in capital stocks (the wealth of the region). Such risks are not reflected through usual measures of current system performance, e.g. agricultural production. We use the Goulburn-Broken Catchment in south-eastern Australia as a case study to explore the significance and practicality of including resilience in inclusive wealth estimates."]
[151,"Wheater, H. S., et al. (2008). Impacts of upland land management on flood risk: multi-scale modelling methodology and results from the Pontbren experiment, FRMRC Research Report UR 16, Imperial College & CEH Bangor: 163.",null,null,null,null,"The effect of trees on flood management"]
[152,"Willis, K. G. (2002). Social & Environmental Benefits of Forestry Phase 2: Benefits and Costs of Forests to Water Supply and Water Quality, Report to Forestry Commission, Edinburgh.",null,"Water quality - Drinking Water - Water Companies\nWater quantity - Drinking Water - Water Companies"]
[153,"Willis, K. G. and G. D. Garrod (1991). \"An Individual Travel-Cost Method of Evaluating Forest Recreation.\" Journal of Agricultural Economics 42(1): 33-42.","Consumer surplus for outdoor recreation has traditionally been estimated by a Clawson-Knetsch travel-cost method.  This paper presents zonal consumer-surplus estimates for visitors to a number of forests and compares these estimates to those derived from individual visitor observations.  Both travel-cost procedures are used to assess the magnitude of recreational benefits and are found to produce widely different consumer-surplus estimates.  This raises questions about research methodology and has implications for the value of recreation associated with forestry and its contribution to the rate of return on forest investment.","Water quality - Recreation - Recreational users\nWater quantity - Recreation - Recreational users\nAir - Recreation - Recreational users\nFlora, fauna and fungi - Recreation - Recreational users\nPresence of environment - Recreation - Recreational users\nSound and scent - Recreation - Recreational users\nViews - Recreation - Recreational users\nSoil - Recreation - Recreational users\nTimber and fiber - Recreation - Recreational users"]
[154,"Willis, K. G. and G. D. Garrod (1998). \"Biodiversity values for alternative management regimes in remote UK coniferous forests: an iterative bidding polychotomous choice approach.\" Environmentalist 18(3): 157-166.","The overwhelming majority of commercial forestry in the UK comprises blanket non-native coniferous species with low biodiversity levels. The UK government is committed under the Rio Principles and Helsinki Guidelines to conserve and enhance biodiversity in British forests and woodlands. This paper assesses the passive use value of biodiversity in remote non-visited coniferous forests, and the costs of diversification and restructuring. Focus groups were employed to aid the design and framing of the study. An iterative bidding polychotomous choice format was used to elicit willingness-to-pay values for different biodiversity standards and management options. Whilst, passive use benefits exceeded costs for biodiversity conservation, considerable ambivalence in choice occurred between different levels of biodiversity. The policy relevance of the results are discussed, and compared to the practical implementation measures for biodiversity being adopted by the Forestry Commission.","Flora, fauna and fungi - Non-use production - People who care"]
[174,"Willis, K. G., Garrod, G., Scarpa, R., Powe, N., Lovett, A., Bateman, I. J., ... & Macmillan, D. C. (2003). The social and environmental benefits of forests in Great Britain. Forestry Commission, Edinburgh.","Forests in Britain produce social and environmental benefits, in addition to marketable timber outputs. These non-market benefits include open access nonpriced recreation, landscape amenity, biodiversity, pollution absorption, and a range of other environmental and social benefits. An accurate valuation of these social and environmental benefits (SEBs) is necessary to ensure the optimal provision of woodland, with appropriate structural characteristics. Under-valuation of any of these SEBs will impede the efficient allocation of resources to achieve sustainable forest management. The purpose of this Phase 2 project commissioned by the Forestry Commission (FC) is to examine the different SEBs of woodland in more depth than was possible in the Phase 1 study (see Willis et al, 2000)."]
[166,"Yamada, T., Logsdon, S. D., Tomer, M. D., & Burkart, M. R. (2007). Groundwater nitrate following installation of a vegetated riparian buffer. Science of the Total Environment, 385(1), 297-309.","Substantial questions remain about the time required for groundwater nitrate to be reduced below 10 mg L− 1 following establishment of vegetated riparian buffers. The objective of this study was to document changes in groundwater nitrate–nitrogen (NO3–N) concentrations that occurred within a few years of planting a riparian buffer. In 2000 and 2001 a buffer was planted adjacent to a first-order stream in the deep loess region of western Iowa with strips of walnut and cottonwood trees, alfalfa and brome grass, and switch grass. Non-parametric statistics showed significant declines in NO3–N concentrations in shallow groundwater following buffer establishment, especially mid 2003 and later. The dissolved oxygen generally was > 5 mg L− 1 beneath the buffer, and neither NO3–N nor DO changed significantly under a non-buffered control area. These short-term changes in groundwater NO3–N provide evidence that vegetated riparian buffers may yield local water-quality benefits within a few years of planting.","Water quality"]
[156,"Zandersen, M., M. Termansen, and F. S. Jensen (2007): \"Testing Benefits Transfer of Forest Recreation Values over a Twenty-Year Time Horizon,\" Land Economics, 83, 412-440","We conduct a functional benefit transfer over 20 years of total willingness to pay based on car-borne forest recreation in 52 forests, using a mixed logit specification of a random utility model and geographic information systems to allow heterogeneous preferences across the population and for heterogeneity over space. Results show that preferences for some forest attributes, such as species diversity and age, as well as transport mode have changed significantly over the period. Updating the transfer model with present total demand for recreation improves the error margins by an average of 282%. Average errors of the best transfer model remain 25%.",null,null,"Recreation - benefit transfer"]
[155,"Zapata, S. D., et al. (2012). \"The economic value of basin protection to improve the quality and reliability of potable water supply: the case of Loja, Ecuador.\" Water Policy 14(1): 1-13.","The objective of this study was to estimate the economic value that people living in Loja, Ecuador, place on the protection of two basins when the protection is designed to improve both the quality and reliability of the water supply for human consumption by urban residents. Empirical results indicate that households have an average willingness to pay (WTP) of $5.80 per month to preserve the basins. The main variables affecting WTP are current monthly water cost, perception about the fairness of the existing water price, the number of hours that service is available, and the gender of the individual interviewed. The results of this study, and the later implementation by the Loja City Municipality of a basin protection project funded through a fee on water users, provide evidence that households at all income levels strongly support and are willing to pay for a project that has the potential to improve the quality of water services and protect the environment.","Water quality - Drinking Water - Water Companies\nWater quantity - Drinking Water - Water Companies"]
[183,"Natural England (2010) Monitor of Engagement with the Natural Environment: The national survey on people and the natural environment. MENE Technical report NECR050. ",null,null,"recreation"]
[184,"Ferrini, S., Schaafsma, M., & Bateman, I. (2014). Revealed and stated preference valuation and transfer: A within‐sample comparison of water quality improvement values. Water Resources Research, 50(6), 4746-4759. ","Benefit transfer (BT) methods are becoming increasingly important for environmental policy, but the empirical findings regarding transfer validity are mixed. A novel valuation survey was designed to obtain both stated preference (SP) and revealed preference (RP) data concerning river water quality values from a large sample of households. Both dichotomous choice and payment card contingent valuation (CV) and travel cost (TC) data were collected. Resulting valuations were directly compared and used for BT analyses using both unit value and function transfer approaches. WTP estimates are found to pass the convergence validity test. BT results show that the CV data produce lower transfer errors, below 20% for both unit value and function transfer, than TC data especially when using function transfer. Further, comparison of WTP estimates suggests that in all cases, differences between methods are larger than differences between study areas. Results show that when multiple studies are available, using welfare estimates from the same area but based on a different method consistently results in larger errors than transfers across space keeping the method constant.","water quality"]
[185,"MacKerron, D.K.L., 1993. The benefits to be gained from irrigation. In: Bailey, R.J. ed. Irrigating potatoes. Cranfield Press, Cranfield, 1-11. UK Irrigation Association Technical Monograph no. 4.",null,null,"food - agriculture and fisheries"]
[186,"Kijne, J. W. & Barker, R. & Molden. D., 2003.\n\"Water productivity in agriculture: limits and opportunities for improvement,\"\nIWMI Books, Reports H032631, International Water Management Institute.\n",null,null,"food - agriculture and fisheries"]
[187,"Van Dijk, A. I., et al., (2009) Forest–flood relation still tenuous–comment on ‘Global evidence that deforestation amplifies flood risk and severity in the developing world’, Global Change Biology, 15(1), 110-115.","In a recent paper in this journal, Bradshaw and colleagues analyse country statistics on flood characteristics, land cover and land cover change, and conclude that deforestation amplifies flood risk and severity in the developing world. The study addresses an important and long-standing question, but we identify important flaws. Principal among these are difficulties in interpreting country statistics and the correlation between population and floods. We review current knowledge, which suggests that the removal of trees does not affect large flood events, although associated landscape changes can under some circumstances. Reanalysis of the data analysed by Bradshaw and colleagues shows that population density alone already explains up to 83% of the variation in reported flood occurrences, considerably more than forest cover or deforestation (<10%). Feasible explanations for this statistical finding – whether spurious or causative – are not difficult to conceive. We, therefore, consider the conclusion of Bradshaw and colleagues to be unsupported. However, their study is a valuable first step to show how these or similar flood data might be used to further explore the relationship between land cover and flooding.","water quantity"]
[188,"Byers, E. A., Hall, J. W., & Amezaga, J. M. (2014). Electricity generation and cooling water use: UK pathways to 2050. Global Environmental Change, 25, 16-30.",null,null,"industry"]
[189,"Byers, E. A., Qadrdan, M., Leathard, A., Alderson, D., Hall, J. W., Amezaga, J. M., Tran, M., Kilsby, C.G., & Chaudry, M. (2015). Cooling water for Britain’s future electricity supply. Proceedings of the Institution of Civil Engineers–Energy, 168(3), 188-204.",null,null,"industry"]
[190,"Rogers, K., Jaluzot, A., & Neilan, C. (2012). Green Benefits in Victoria Business Improvement District, Victoria Business Improvement District, London, UK","The trees which make up the urban forest positively influence human\nhealth and well-being by providing a range of benefits or eco-system\nservices. Recognising and estimating these benefits can assist in\nmaking the right decisions about how trees are managed.\nFor example, urban forests help to combat the effects of climate change. Projections for climate change claim\nthat summers are going to be warmer and dryer, accompanied by wetter winters, with more frequent extremes\nof temperature (Hulme et al., 2002). Trees not only lower the ambient temperature in their microclimate through\nevaporative cooling but are also effective at retaining storm water and therefore alleviating pressure on drainage\nsystems (Gill et al 2007).\nThe trees in the Victoria Business Improvement District (BID) are a key component of this urban forest infrastructure,\nproviding a wealth of benefits, offering resilience against climate change impact, protecting urban communities against\nthe extremes of the urban heat island effect and temperature increases. Crucially they provide shade, evaporative\ncooling, pollution filtration and also capture and store carbon (Nowak 2006).\nGiven the importance of the urban tree resource, knowledge of the contribution that trees make needs to be available\nfor strategic planning and management. This requires that key information be gathered so that the resource can be\nprotected and enhanced, and its crucial functionality maintained.\nBy measuring these ecosystem services a baseline can be established from which to monitor change over time and\nalso spatially. By formulating a reliable means of measuring the natural tree resource it is possible to manage urban\ntrees in a way that secures the existing services they provide and then to strategically enhance these in order to achieve\nsustainability aspirations."]
[191,"Núñez, D., Nahuelhual, L., & Oyarzún, C. (2006). Forests and water: The value of native temperate forests in supplying water for human consumption. Ecological Economics, 58(3), 606-616","Temperate forests in the Southern Hemisphere provide ecosystem services of local and global importance such as internal nutrient cycling, soil protection, biodiversity conservation, climate regulation, and water supply. Under a scenario of global climatic change, water supply represents one of the most relevant of these forest environmental services. In this paper we estimated the economic value of Chilean temperate forests as they contribute to maintain fresh water supply, which in turn supports the production of drinkable water for cities. The study was carried out in the Valdivian Rainforest Ecoregion, in Llancahue watershed, which supplies fresh water to one of the main cities in Southern Chile. Using monthly time series from January 1995 to December 2003, we applied the change in productivity method to derive economic value estimates per cubic meter of water, per household, and per hectare accounting for changes in economic value during summer versus the rest of the year. The economic values per cubic meter were USD 0.066 and USD 0.025 for summer and rest of the year, respectively. The values per household equaled USD 15.4 in the summer and USD 5.8 for the rest of the year. The economic benefits per hectare of native forests were equal to USD 162.4 for summer period and USD 61.2 for the rest of the year.","water quantity  "]
[192,"Ellison, D., N Futter, M., & Bishop, K. (2012). On the forest cover–water yield debate: from demand‐to supply‐side thinking. Global Change Biology, 18(3), 806-820","Several major articles from the past decade and beyond conclude the impact of reforestation or afforestation on water yield is negative: additional forest cover will reduce and removing forests will raise downstream water availability. A second group of authors argue the opposite: planting additional forests should raise downstream water availability and intensify the hydrologic cycle. Obtaining supporting evidence for this second group of authors has been more difficult due to the larger scales at which the positive effects of forests on the water cycle may be seen. We argue that forest cover is inextricably linked to precipitation. Forest-driven evapotranspiration removed from a particular catchment contributes to the availability of atmospheric moisture vapor and its cross-continental transport, raising the likelihood of precipitation events and increasing water yield, in particular in continental interiors more distant from oceans. Seasonal relationships heighten the importance of this phenomenon. We review the arguments from different scales and perspectives. This clarifies the generally beneficial relationship between forest cover and the intensity of the hydrologic cycle. While evidence supports both sides of the argument – trees can reduce runoff at the small catchment scale – at larger scales, trees are more clearly linked to increased precipitation and water availability. Progressive deforestation, land conversion from forest to agriculture and urbanization have potentially negative consequences for global precipitation, prompting us to think of forest ecosystems as global public goods. Policy-making attempts to measure product water footprints, estimate the value of ecosystem services, promote afforestation, develop drought mitigation strategies and otherwise manage land use must consider the linkage of forests to the supply of precipitation.","water quantity"]
[193,"Nowak et al. (2010) Assessing Urban Forest Effects and Values: Chicago's Urban Forest, USDA, Resource bulletin NRS-37."]
[194,"Konopacki, S., & Akbari, H., (2000) Energy savings calculations for urban heat island mitigation strategies in Baton Rouge, Sacramento and Salt Lake City. Proceedings of the 2000 ACEEE Summer Study on Energy Efficiency in Buildings, Vol. 9. Pacific Grove, CA, p. 215."]
[195,"Owen, S.M., MacKenzie, A.R., Stewart, H., Donovan, R. & Hewitt, C.N. (2003) Biogenic volatile organic compound (VOC) emission estimates from an urban tree canopy. Ecological Applications, 13, 927–938."]
[196,"Vos, P. E., Maiheu, B., Vankerkom, J., & Janssen, S. (2013). Improving local air quality in cities: to tree or not to tree?. Environmental pollution, 183, 113-122.","Vegetation is often quoted as an effective measure to mitigate urban air quality problems. In this work we demonstrate by the use of computer models that the air quality effect of urban vegetation is more complex than implied by such general assumptions. By modelling a variety of real-life examples we show that roadside urban vegetation rather leads to increased pollutant concentrations than it improves the air quality, at least locally. This can be explained by the fact that trees and other types of vegetation reduce the ventilation that is responsible for diluting the traffic emitted pollutants. This aerodynamic effect is shown to be much stronger than the pollutant removal capacity of vegetation. Although the modelling results may be subject to a certain level of uncertainty, our results strongly indicate that the use of urban vegetation for alleviating a local air pollution hotspot is not expected to be a viable solution."]
[197,"Tol, R. S. (2011). The social cost of carbon. Annu. Rev. Resour. Econ., 3(1), 419-443","This article surveys the literature on the economic impact of climate change. Different methods have been used to estimate the impact of climate change on human welfare. Studies agree that there are positive and negative impacts. In the short term, positive impacts may dominate, but these are sunk benefits that will obtain regardless of abatement policy. In the longer term, there are net negative impacts. Poorer people tend to be more vulnerable to climate change. Estimated aggregate impacts are not very large, but they are uncertain and incomplete. Estimates of the marginal impacts suggest that greenhouse gas emissions should be taxed and that the emission reduction targets announced by politicians are probably too ambitious. Estimates of the willingness to pay for climate policy suggest that lay people are probably more concerned than experts about the total impact of climate change, whereas lay people and experts agree on estimates of the incremental impact of carbon dioxide emissions."]
[198,"Nordhaus, W. (2014). Estimates of the social cost of carbon: concepts and results from the DICE-2013R model and alternative approaches. Journal of the Association of Environmental and Resource Economists, 1(1), 273-312","The social cost of carbon (SCC) is an important concept for understanding and implementing climate change policies. This term represents the economic cost caused by an additional ton of carbon dioxide emissions (or more succinctly carbon) or its equivalent. The present study describes the development of the concept, provides examples of its use in current US regulator policies, examines its analytical background, and estimates the SCC using an updated integrated assessment model, the DICE-2013R model. The study estimates that the SCC is $18.6 per ton of CO2 in 2005 US dollars and international prices for the current period (2015). For the central case, the real SCC grows at 3% per year over the period to 2050. The major open issues concerning the SCC continue to be the appropriate discount rate, the potential for catastrophic damages, the impact of incomplete harmonization of abatement policies, and the effects of distortionary taxes."]
[199,"Potchter, O., Cohen, P., & Bitan, A. (2006). Climatic behavior of various urban parks during hot and humid summer in the Mediterranean city of Tel Aviv, Israel. International Journal of Climatology, 26(12), 1695-1711. ","This study examines the climatic behavior of different designs of urban parks during hot and humid summer conditions, and their influence on human comfort in Tel Aviv, Israel. The research was conducted in three different types of urban parks: a park with grass and a few low trees, a park with medium sized trees and a park with high and wide-canopied trees. The results showed that an urban park that contains high trees with a wide canopy has the maximum cooling effect during daytime, reduces temperatures by up to 3.5 °C and lowers heat stress values despite increasing relative humidity values. An urban park that contains dense, medium sized trees can also reduce temperatures during daytime by up to 2.5 °C as well as slightly lower heat stress. However, during nighttime it can create uncomfortable climatic conditions owing to the reduction of wind velocity and increase in relative humidity. An urban park covered with grass can be warmer and sometimes even more humid than the built-up area during the day, which increases heat stress values. Copyright © 2006 Royal Meteorological Society."]
[200,"Gill, S. E., Handley, J. F., Ennos, A. R., & Pauleit, S. (2007). Adapting Cities for Climate Change: The Role of the Green Infrastructure. Built Environment, 33(1), 115-133. ","The urban environment has distinctive biophysical features in relation to surrounding rural areas. These include an altered energy exchange creating an urban heat island, and changes to hydrology such as increased surface runoff of rainwater. Such changes are, in part, a result of the altered surface cover of the urban area. For example less vegetated surfaces lead to a decrease in evaporative cooling, whilst an increase in surface sealing results in increased surface runoff. Climate change will amplify these distinctive features. This paper explores the important role that the green infrastructure, i.e. the greenspace network, of a city can play in adapting for climate change. It uses the conurbation of Greater Manchester as a case study site. The paper presents output from energy exchange and hydrological models showing surface temperature and surface runoff in relation to the green infrastructure under current and future climate scenarios. The implications for an adaptation strategy to climate change in the urban environment are discussed."]
[201,"Price, R., Thornton, S., & Nelson, S. (2007). The social cost of carbon and the shadow price of carbon: what they are, and how to use them in economic appraisal in the UK. Department for Environment Food and Rural Affairs, UK","The effects of global climate change from greenhouse gas emissions (GHGs) are diverse and potentially very large. Traditionally the policy debate on climate change has tended to focus on the costs of mitigation, i.e. how much it will cost to reduce greenhouse gas emissions. This study focuses on the economic costs to society from climate change actually occurring, known as the Social Cost of Carbon (SCC). The SCC is usually estimated as the net present value of climate change impacts over the next 100 years (or longer) of one additional tonne of carbon emitted to the atmosphere today. It is the marginal global damage costs of carbon emissions."]
[202,"Tol, R.S. (2013) Targets for global climate policy: An overview. Journal of Economic Dynamics and Control 37, 911-928."]
[203,"Dietz, S. and Fankhauser, S. (2010) Environmental prices, uncertainty, and learning. Oxford review of economic policy 26, 270-284"]
[204,"DECC, (2009) Carbon valuation in UK policy appraisal: A revised approach, in: Climate Change Economics: Department of Energy & Climate Change (Ed.), London, UK."]
[205,"DECC Modelling, (2014) 2014 Appraisal Guidance - Toolkit Tables - Final.xlsx, in: Department of Energy and Climate Change (Ed.), London, UK"]
[206,"Jones, A., Wright, J., Bateman, I., & Schaafsma, M. (2010). Estimating arrival numbers for informal recreation: a geographical approach and case study of British woodlands. Sustainability, 2(2), 684-701.","This paper describes a novel methodology for generating models of demand for informal outdoor recreation. We analyze visitor data from multiple forest sites across Great Britain. We introduce a wide range of variables typically omitted from most economic demand models of recreation. These include on-site characteristics, and off-site locational drivers of visitation including substitute and complement availability. A Poisson multilevel model is used to model visitor counts, and the methodology is applied to a dataset of more than 10,000 visits to open-access woodland sites. Results confirm it identifies a broader range of demand drivers than previously observed. The use of nationally available explanatory variables enhances the transferability and hence general applicability of the methodology."]
[207,"Tratalos, J., Sugden, R., Bateman, I., Gill, J., Jones, A., Showler, D., Sutherland, W., Watkinson, A., (2013) The conflict between conservation and recreation when visitors dislike crowding: a theoretical and empirical analysis of the spatial distribution of recreational beach users. Environmental Resource Economics, 55 (3), 447–465"]
[208,"Benson, J. F. (1994). Values for forest landscapes using travel cost and tokens. Landscape Research, 19(1), 23-25","The paper describes an approach to valuation developed during a project to value informal recreation on a Forestry Commission estate in the UK. In addition to the normal travel cost method of environmental evaluation (TCM) questions, respondents were asked how they valued the different attributes of the forests. The token method, which is described in the paper, was devised to ensure that valuations were on a cardinal scale. At the same time, it avoided problems which could arise from inviting money bids for the forest attributes. The paper defines and selects sample forests for evaluation, using a cluster analysis of 67 forest districts defining 14 clusters, of which four were single districts. Fourteen survey districts were chosen at random, one from each cluster, to produce a representative sample of the estate. The characteristics of the sample reflected the diverse nature of the forest estate, in location, history, forest age and species, recreation provision and use-intensity, wildlife interest and commercial forest operations. Non-specialist visitors to commercial forests place a high value on wildlife, landscape and access attributes of sites, relative to more specialized recreation and information facilities. The paper concludes that the token method could also be used to apportion passive use values, assuming a respondent's total passive use value could be determined by the contingent valuation method."]
[209,"Zandersen, M., & Tol, R. S. (2009). A meta-analysis of forest recreation values in Europe. Journal of Forest Economics, 15(1), 109-130.","This paper presents a meta-analysis of forest recreation in Europe based on studies that have applied the travel cost method covering 26 studies in nine countries since 1979. We conduct the meta-regression with an increasing number of variables where level I includes only data available from the studies, level II aggregate socio-economic variables and level III site-specific characteristics such as diversity, fraction of open land and location. Data shows that consumer surplus varies between €0.66 per trip to €112 with a median of €4.52 per trip.\nResults of the model with the best overall summary indicate that the application of the individual travel cost method, inclusion of opportunity cost of time and average distance travelled lead to increasing benefits whereas the year of the study and estimations from theses and dissertations reduce welfare estimates. Including exogenous variables shows that site attributes, GDP per capita and population density play a significant role."]
[210,"Bartczak, A., Lindhjem, H., Navrud, S., Zandersen, M., & Żylicz, T. (2008). Valuing forest recreation on the national level in a transition economy: The case of Poland. Forest Policy and Economics, 10(7), 467-472.","Recreation benefits constitute a substantial part of the total economic value of forests, and are important for the choice of multi-functional forest policies. The application of methods valuing such benefits is in its infancy in transition economies in Central and Eastern Europe (CEE), so value estimates for policy use are sometimes transferred from Western Europe proportionally scaled down by GDP. However, little is known about how recreation values vary with income, and one risks underestimating benefits in CEE. This paper reports the findings of the first comprehensive, national-level study in any CEE country estimating annual and per trip forest recreation values in Poland using the Travel Cost (TC) and Contingent Valuation (CV) methods. Two in-person interview surveys of forest recreation behaviour were carried out. The first was administered on-site in ten representative forest areas, and the other in the homes of a national sample of adult Poles. Results show that forest recreation is highly valued in Poland, at Euros 0.64–6.93 per trip per person, depending on the valuation method. Both trip frequency and per trip values are higher than the average in Western Europe, despite a lower income level. Thus, a simple GDP-adjusted transfer from Western Europe would substantially undervalue forest recreation in Poland. Further, a comparison of TC consumer surplus estimates and GDP/capita in Europe shows no clear relationship, indicating that a range of cultural, institutional and other factors may be important."]
[211,"Willis (2015) Health benefits and green space, presented at EAEREs 21st Annual Conference, 24 – 27 June"]
[212,"Nisbet, T., Roe, P., Marrington, S., Thomas, H., Broadmeadow, S., & Valatin, G., (2015) Slowing the flow at Pickering, Final Report: Phase II, Defra FCERM Multi-objective Flood Management Demonstration project, London, UK."]
[213,"MacLeod, A. L. A. N. (2007). The benefits and costs of specific phytosanitary campaigns in the UK. New Approaches to the Economics of Plant Health. Ed. by Oude Lansink, AGJM Dordrecht: Springer, 163-177."]
[214,"Abdullah, M., Mamat, M.P., Yaacob,  M.P.,  Radam, A., Fui, L.H. (2015). Estimate the conservation value of biodiversity in national heritage site: A case of Forest Research Institute Malaysia. Procedia Environmental Sciences 30 ( 2015 ) 180 – 185","Forest Research Institute Malaysia (FRIM) offers a variety of forest ecosystem services such as biodiversity conservation, recreation, ecotourism and nature-environmental education. These services are limited in supply and may lead to the reduction if resources are not managed and conserved well. Conservation of biodiversity is one of the efforts to ensure sustainability of biodiversity. The study was conducted in 2014 to value willingness to pay (WTP) for conserving biodiversity at FRIM among residents of Selangor. This study found the mean WTP ranges from RM53.24 to RM67.22, which could contribute annual revenue ranged from RM66.3 million to RM83.8 million.","Flora_Fauna - Recreation/Learning services - General Public"]
[215,"Agimass, F., Lundhede, T., Panduro, T.E., Bredahl Jacobsen, J. (in press). The choice of forest site for recreation: A revealed preference analysis using spatial data. Ecosystem Services ","In this paper, we investigate the factors that can influence the site choice of forest recreation. Relevant\nattributes are identified by using spatial data analysis from a questionnaire asking people to indicate their\nmost recent forest visits by pinpointing on a map. The main objectives of the study are (1) to examine the\npreferences of visitors for different forest attributes using data from actual visits and (2) to illustrate how\nmany alternative sites need to be considered for estimation in case of a large number of potential recreational\nsites. Estimation is performed using a conditional logit as well as a random parameter logit model.\nThe variables that are found to affect the choice of forest site to a visit for recreation include: forest area,\ntree species composition, forest density, availability of historical sites, terrain difference, state ownership,\nand distance. Regarding the second research objective, we empirically show the possibility of getting consistent\nparameter estimates through random selection of alternatives. We find that increasing the number\nof alternatives increases consistency of parameter estimates.","Environment - Recreation - Recreational users"]
[216,"Ahlheim, M., Börger, T., Frör, O. (2015). Replacing rubber plantations by rain forest in Southwest China—who would gain and how much? Environ Monit Assess (2015) 187: 3","The cultivation of rubber trees in Xishuangbanna Prefecture in China’s Yunnan Province has triggered an unprecedented economic development but it is also associated with severe environmental problems.\nRubber plantations are encroaching the indigenous rain forests at a large scale and a high speed in Xishuangbanna. Many rare plant and animal species are endangered by this development, the natural water management is disturbed, and even the microclimate in this region has changed over the past years. The present study aims at an assessment of the environmental benefits accruing from a reforestation project partly reversing the deforestation that has taken place over the past years. To this end, a Contingent Valuation survey has been conducted in Xishuangbanna to elicit local residents’ willingness to pay for this reforestation program that converts existing rubber plantations back into forest. It is shown that local people’s awareness of the environmental problems caused by increasing rubber plantation is quite high and that in spite of the economic advantages of rubber plantation there is a positive willingness among the local population to contribute financially to a reduction of existing rubber plantations for the sake of a partial restoration of the local rain forest. These results could be used for the practical implementation of a Payments for Eco-System Services system for reforestation in Xishuangbanna."]
[217,"Amiri, N., Emadian, S.F., Fallah, A., Adeli, K., and Amirnejad, H. (2015. Estimation of conservation value of myrtle (Myrtus communis) using a contingent valuation method: a case study in a Dooreh forest area, Lorestan Province, Iran. Forest Ecosystems (2015) 2:30","Background: Around 2000 plant species occur naturally in Lorestan Province of which 250 species are medicinal and\nmyrtle is one of them. Myrtle is a shrub whose leaves and fruits have medicinal value and thus, if managed and\nharvested properly, could produce sustained economic benefits. In recent years, however, over half of the myrtle site\nareas was destroyed, due to inappropriate management and excessive harvesting practices. Thus, coming up with a\npractical harvesting approach along with identifying those factors damaging the sites, seems to be very crucial.\nMethods: In our investigation, we calculated the conservation value per hectare of myrtle in the Dooreh forest area in Lorestan Province. Using the Contingent Valuation (CV) and Double Bounded Dichotomous Choice (DBDC) methods,\nwe determined the willingness to pay (WTP) for myrtle conservation. The WTP was estimated with a logit model for\nwhich indices were obtained based on a maximum precision criterion.\nResults: The results showed that 86.67 per cent of people were willing to pay for the conservation of these myrtle\nsites. Average monthly WTP per family was calculated as $0.79. The annual conservation value in terms of WTP for the preservation of the myrtle sites in Dooreh was estimated as $102,525. Among the variables of the model presented, education had a positive impact, while the amount proposed for payment and family size had a negative impact on the WTP.\nConclusions: Our estimate of the value of myrtle conservation should provide justification for policy makers and\ndecision making bodies of natural resources to implement policies in order to conserve the natural sites of this species more effectively."]
[218,"Bakhtiaria, F.,  Jacobsen, F.B., Thorsen, B.J., Lundhede, T.H., Strange,N., Boman, M. (2018). Disentangling Distance and Country Effects on the Value of Conservation across National Borders. Ecological Economics 147: 11-20","n.a."]
[219,"Bartczak, A. (2015). The role of social and environmental attitudes in non-market valuation\nAn application to the Białowieża Forest. Forest Policy and Economics 50 (2015) 357–365","The purpose of this study is to investigate the impact of non-economicmotivations such as altruismand environmental concerns on social preferences and hence willingness to pay (WTP) for changes in forest management\nstrategies in the Białowieża Forest in Poland.Weused data froma discrete choice experiment (CE) with attributes\ndescribing changes in the quality of the forest and recreation. The choice experiment technique makes it possible\nto disentangle the effect of the trait of altruismand environmental concernwith regard to different attributes and their levels. Environmental attitudes were measured using the New Ecological Paradigm (NEP) scale, whereas the trait of altruism was determined using the Self-Reported Altruism (SRA) scale. The parameterization employed in the survey was aWTP space model. Results show that both altruism and environmental concerns have significant effects on the amount people are willing to pay for changes in forest management."]
[220,"Czajkowski, M., Wiktor Budzinski, Danny Campbell,  Marek Giergiczny, Nick Hanley (2017). Spatial Heterogeneity ofWillingness to Pay for Forest Management. Environ Resource Econ (2017) 68:705–727","The paper investigates the spatial heterogeneity of public’s preferences for the implementation of a newcountry-wide forestmanagement and protection program in Poland. Spatial econometric methods and high resolution geographical information system data related to forest characteristics are used to explain the variation in individual-specific willingness to pay (WTP) values, derived from a discrete choice experiment study. We find that respondents’ WTP is higher the closer they live to their nearest forest, and the scarcer forests are in the area where they live. Interestingly, the higher the ecological value of forests in respondents’ area, the more people prefer extending areas of national forest protection. We also investigate spatial patterns in individual-specific WTP scores and in latent class membership probabilities, finding that preferences are indeed spatially clustered. We argue that this clustering should be taken into account in forest management and policy-making."]
[221,"D'Amato, D., Rekkola, M., Toppinen, Li, N., Toppinen, A. (2016). Monetary valuation of forest ecosystem services in China: A literature review and identification of future research needs. Ecological Economics, 12: 75-84.","We propose a review of empirical studies dealing with the monetary valuation of forest ecosystem services in\nChina. The analysis focuses on: assessing methodological differences between studies; highlighting the variation\nof monetary values across different ecosystem service types; and identifying and discussing future research\nneeds. Based on a systematic search, our data set consists of 12 studies published in peer-reviewed journals in\nEnglish, dealingwith 72 forest ecosystem services. Our results suggest that domestic literature is affected by elusive\ncategorization of ecosystem services and methodological inconsistencies. The wide variation in monetary\nvalues of Chinese forest ecosystemservices, a phenomenon also observed in global level reviews, can be partially\nexplained by the methodological heterogeneity of the studies. Future research could benefit froma strengthened\nand more standardized methodological approach, drawing from relevant methods and indicators employed in\nthe reviewed domestic articles, as well as from insights and solutions proposed in the international empirical\nand conceptual literature. The exceptional forest restoration policy landscape coupled with the increasing establishment of commercial plantations offer important research opportunities for monetary valuation in China.\nEfforts should be directed towards assessing marginal values of ecosystem services in land-use changes over\ntime, and benefit flows among different stakeholders."]
[222,"Elberg Nielsen, A.S.  Thomas Hedemark Lundhede, Jette Bredahl Jacobsen (2016). Local consequences of national policie - A spatial analysis of preferences for forest access reduction. Forest Policy and Economics 73 (2016) 68–77","Statedpreferencestudieselicitingwelfareeconomicconsequenceofnationalpolicies,areoftennotconsidering\nthespatialvariationinsupplyanddemand.Thisspatialvariationmayhowevercauselargedistributional\nheterogeneityofpolicychanges.Inthisstudy,weuseachoiceexperimenttotestwhetherpeoples'preferences\nforrestrictionsinforestaccessisinfluencedbyspatialheterogeneityinlocalforestpresenceandquality\nconditions.CombiningsurveydatawithGISinformationweassessthesizeoflocalforestcover,distanceto\nnearestforestandforestqualityindicatorsinaradiusof2.5kmfromrespondent'sresidence.Wedemonstrate\nthat anationallyframedpolicyimplementingaccessreductionstoprotectwildlifemayhaveheterogeneous\nwelfareconsequenceswhichcanbedescribedbyageneraldisutilityforaccessreductionsanddependencyon\nlocalforestattributes.Further,georeferencingtheresidenceofallinvitedrespondentsallowsustotestwhether\nforestcover,distanceandotherforestattributesaredifferentbetweenrespondentsandnon-respondents.No\nevidenceofself-selectionisidentified."]
[223,"Escobedo, F., Adams, D.A., Timilsina, N. (2015). Urbanforeststructureeffectsonpropertyvalue. Ecosystem Services 12 (2015) 209–217","Studies have quantified urban forests using well established field sampling methods.Other studies have\nused hedonic regression with real estate prices and remotely sensed vegetation cover data in valuation\nmodels. However,remotesensingintroducesunfamiliarperspectivessinceitchangesthescaleand\nresolution perceivedbyhumans.Realestatepricesalso fluctuateandarenotregularlyusedinurban\ndecision-making processes.Thisstudyvaluesanurbanforestculturalecosystemservicebyintegrating\nan explanatoryhedonicregressionmodelwithrandomly field-measured tree,shrub,andturfdatafrom\nfour citiesacrossFlorida,USA,during2006–2009,andcongruentparceltract-levelhomeattributesand\nappraised propertyvaluesfromsingleandmulti-familyunitsfor2008–2009.Results,onaverage,\nindicate trade-offsinthatmoretreeswithgreaterLeafAreaIndices(LAIs)addtopropertyvalue,while\nbiomass andtree–shrub coverhaveaneutraleffect,andreplacingtreewithgrasscoverhaslowervalue.\nOn average,propertyvalueincreasedby$1586pertreeand$9348perone-unitincreaseinLAI,while\nincreasing maintainedgrassfrom25%to75%decreasedhomevalueby$271.Ourecologicalapproachis\nan alternative,appliedmethodthatcanbeusedbydecision-makersforpolicyandcost–benefit analyses\nthat calculatethestreamofnetbenefits associatedwithurbanforests."]
[224,"Filyushkina, A., Fitalew Agimass, Thomas Lundhede, Niels Strange, Jette Bredahl Jacobsen (2017). Preferences for valuation in forest characteristics: Does diversity between stands matter? Ecological Economics 140: 22-29.","The majority of existing studies of recreational preferences and forest characteristics focused on single stand attributes and demonstrated that people prefer stands with visual variation. However, it may be too simple since\nmost people experience more than one stand when visiting a forest. This study aims at evaluating the effects\nof variation bothwithin and between stands on recreational values. A choice experiment (CE)was applied to elicit\npeople's preferences for forest types on their next recreational visit. Each alternative is presented with drawings\nof three forest stands which differ with respect to tree species, height (age) and distance to the site, the\nlatter representing the cost factor – willingness-to-travel. Respondents also compose their ideal recreational forest\nby selecting three types of stands from the catalogue of drawings. We find that mixed tree species are preferred\ncompared to monocultures. Stands with trees of varying height (uneven-aged stands) are preferred\nover stands consisting of trees of the sameheight (even-aged ones). Variation between stands is found to contribute\npositively to recreational value, and in some instances, this may outweigh contribution of variation within a\nstand. Comparing respondents' composition of their ideal forest with elicited preferences from the CE, confirm\nthese findings."]
[225,"Forest Enterprise England (2016). Natural capital accounts 2015-16. ","n.a."]
[226,"Gelo, D. and Koch, S.F. (2015). Contingent valuation of community forestry programs in Ethiopia: controlling for preference anomalies in double-bounded CVM","This study examines the welfare effects of community plantations in Ethiopia via contingent valuation. Both single bounded and double-bounded survey methods were considered, and, with respect to double-bounded methods, the potential for anomalous response behaviour was also taken into account. The results generally confirm that there are statistically significant welfare benefits to be derived from community forestry; however, the range of the estimated benefits is large. After controlling for anomalous response behaviour, the range of estimated benefits narrows, and our preferred estimates place the welfare gain between Ethiopian Birr (ETB) 20.14 and 30.41 per household, which is much lower than the estimated benefits without controlling for anomalous preference responses."]
[227,"Giergiczny, M., Czajkowski, M., Żylicz, T.,  Angelstam, P. (2015). Choice experiment assessment of public preferences for forest\nstructural attributes. Ecological Economics 119: 8-23.","Combining the approach used in landscape research with non-market valuation techniques, the aim of this study\nis to document human habitat selection for recreational purposes in a gradient of forest naturalness. The results\nindicate that respondents prefer older stands with vertical layering, irregularly spaced trees and a greater number\nof tree species. Our study thus indicates that forests that are managed (or left unmanaged) for biodiversity\npurposes are also likely to be attractive to humans. To conclude, while greater management intensity was\nassociated with higher disutility regardless of the model employed,we do not perceive a risk of conflict between forest management designed to protect biodiversity and management targeting recreational value. Consequently,\nthere is a need for spatially differentiated forest management that discriminates among different functions. The\nstate ownership of all larger Polish forest massifs makes this zoning approach feasible."]
[228,"Holt, A. and Rouquette, J. (2017). The quantification and valuation of the environmental, social and economic impacts of the Forest of Marston Vale. Report prepared for:\nThe Forest of Marston Vale, March 2017","n.a."]
[229,"Masiero, M., Davide M. Pettenella, Laura Secco (2016). From failure to value: economic valuation for a selected set of products and services from Mediterranean forests. Forest Systems 25(1): 16 pages","Aim of study: the paper estimates the economic value of a selected range of forest products and services, i.e. roundwood, nonwood forest products (NWFPs), and carbon-related services.\nArea of study: the research covers 21 Mediterranean countries, distinguished into four sub-regions.\nMaterial and methods: data have been gathered from official statistical sources (e.g. FAOSTAT), scientific literature and technical reports. Different estimation approaches based on market-price have been used for different products/services.\nMain results: the estimated value ranges between €10,512 and €11,158 million (M). Wood products represent more than 85% of the total value. Within them, industrial timber is the most relevant component (65%). Figures for NWFPs are likely to be underestimated because data are available only for some products and countries. When using alternative estimates for pine nuts, pine resin and cork, figures show a €36.8-572 M increase. In geographical terms, the economic value of Mediterranean forests is highly concentrated: North-West Mediterranean countries account for 70%, and nearly 90% is in just four countries (France, Spain, Turkey and Italy).\nResearch highlights: enhancing the offer of Mediterranean forest products and increasing their role in the rural economy could help to reduce the costs of forest protection: a well-structured forest economy ensuring stable flows of incomes can provide a fundamental set of public non-market services and social values to both local people and the whole community. Understanding the true value of natural resources, then, is an essential step for promoting their protection and sustainable use."]
[230,"Meldrum, J.R. (2015). Comparing different attitude statements in latent class models of stated preferences for managing an invasive forest pathogen. Ecological Economics 120: 13-22.","To better interpret preference data, environmental economists often measure two different types of attitudes:\ngeneral environmental attitudes, and attitudes specific to an issue. Although methods such as joint latent class\nmodeling can relate these measures to stated preference data, economics literature offers limited guidance on\nimportant details, including the relative merits of the two attitude types. This paper analyzes survey data\nabout the management of the invasive, non-native fungus that causes the lethal disease white pine blister rust\nin high-elevation forests, a problem characterized by long time scales and potentially costly interventions of uncertain efficacy. The paper uses novel techniques for comparing across latent class model specifications to evaluate the relative contribution of general and specific attitude measures to the analysis of contingent valuation\ndata. These demonstrate insights from investigating heterogeneity in respondents' perspectives and superior\nmodel performance with specific attitude statements versus with general attitude statements. In addition to\nthe practical content, these results offer novel insight into ongoing debate on the meaning of stated preference\nvaluation measures."]
[231,"Dare, A.M.,Idris Akanbi Ayinde, Adebayo Musediq Shittu, (2015) \"Urban trees forest management in Abeokuta Metropolis, Ogun State, Nigeria: An application of contingent valuation method\", Management of Environmental Quality: An International Journal, Vol. 26 Issue: 1, pp.72-83","Purpose – The purpose of this paper is to investigate urban tree forest utilisation and management through application of contingency valuation approach in Ogun State, Nigeria. \nDesign/methodology/approach – A total of 120 respondents residing in Abeokuta Metropolis were\nrandomly sampled. Data collected were analysed using descriptive statistics, probit and Tobit\nregression analyses.\nFindings – Results revealed that respondents demonstrated willingness to pay (WTP) monthly for\nmanagement of urban trees. Larger percentage (94.0 per cent) of the respondents benefited from shade,\n48.0 per cent benefited from reduction of pollution while 76.7 per cent benefited from prevention\nfrom harsh weather. Results of probit analysis revealed lower probability of WTP for urban tree\nmanagement among older respondents ( po0.1); while females respondents had a higher probability\nof payment for tree management ( po0.05). In the same vein, younger respondents ( po0.05) as well\nas higher income earners ( po0.01) exhibited more WTP for urban trees management.\nResearch limitations/implications – The study concluded that trees were an invaluable\nenvironmental asset among urban households, while the households also demonstrated strong\nwillingness to manage and sustain their uses.\nPractical implications – Older respondents need to be further enlightened on sustainable\nmanagement of urban trees for environmental stabilisation and provision of aesthetic benefits.\nOriginality/value – This paper introduces an innovative technique to the valuation of urban tree and\nbrought to the fore, importance attached to trees as a non-market environmental commodity."]
[232,"Molina, J.R., Francisco Rodrıguez y Silva, Miguel Angel Herrera (2016). Integrating economic landscape valuation into Mediterranean\nterritorial planning. Environmental Science and Policy 56: 120-128","Recent and rapid landscape changes have occurred over large areas in Mediterranean Basin. Wildfires and human activities are the most important disturbances at landscape-level due to their ecological and socio-economic impacts. The increasing demand which society places on the forest landscapes has led us to develop a tool to identify the economic landscape value around natural protected areas. Our research focused on the integration of social, ecological and economic components of landscape management based on stated social preferences and contingent valuation method (CVM). Landscape value research has been motivated by the need to assist land use planning and environmental management. Geographic Information Systems (GIS) have provided new opportunities to spatially distributed modeling of landscape quality. Correlations were found between the representativeness of the landscape and its sense of belonging, and the contingent rating. Landscape with intensive agricultural practices and\nmining areas were the least preferred landscapes. There was a notable variation in the economic landscape value attributed to the study area based on the considered CVM scenario, ranging from 1,253,075.1 Euros to 3,650,827.8 Euros. We added the geospatial allocation of willingness to pay according to five landscape quality categories. Our approach could be used to identify priority areas for conservation based on maximizing landscape value, and would be useful in detecting interesting or conflict areas associated with new management and planning alternatives. In this sense, this approach offers managers to seek territorial management strategies to increase economic efficiency in the allocation of resources."]
[233,"Oviedo, J.L., Alejandro Caparrós (2015). Information and visual attention in contingent\nvaluation and choice modeling: field and\neye-tracking experiments applied to\nreforestations in Spain. Journal of Forest Economics 21: 185-204.","We test convergent validity of contingent valuation and choice modeling with field and eye-tracker data in an application forstone pine reforestations. Field results yield significantly different structural models and higher willingness to pay values in choice modeling. Eye-tracker results show that respondents devote rel-atively more time to attributes and the bid in choice modelingand that there are no significant differences in the total time used to answer. Divergences remain for modified formats that min-imize visual and cognitive differences between methods. Usingan attribute-stimulus format in contingent valuation or includingdominant alternatives in choice modeling does not change results."]
[234,"Rai, R.K., Scarborough, H. (2015). Nonmarket valuation in developing countries: incorporating labour contributions in environmental benefits estimates. Australian Journal of Agricultural and Resource Economics 59: 479-498","There are limitations associated with the application of nonmarket valuation techniques, including choice experiments, in subsistence economies. In part, this is due to the concern that using money as a mode of contribution may not capture the potential contribution of low-income households. To address this limitation, respondents in this study were provided with the option of contributing towards the management of invasive plants in labour terms if they were unwilling to contribute in monetary terms. The results show that the existing practice of using dollar values to estimate willingness to contribute may disproportionately exclude the concerns of some groups within the community. The analysis also indicates that allowing respondents to express their willingness to contribute in labour increases their participation in environmental decision-making processes and hence increases the estimated value of forest ecosystem services. This study contributes to the limited empirical literature on the development of nonmarket valuation surveys, particularly choice experiments, in low-income countries in general and rural areas in particular."]
[235,"Roesch-McNally, G.E., Rabotyagov, S.S. (2016).  Paying for Forest Ecosystem Services: Voluntary Versus Mandatory Payments. Environmental Management 57: 585-600.","The emergence of new markets for forest ecosystem services can be a compelling opportunity for market diversification for private forest landowners, while increasing the provision of public goods from private lands.\nHowever, there is limited information available on the willingness-to-pay (WTP) for specific forest ecosystem services, particularly across different ecosystem market mechanisms. We utilize survey data from Oregon and Washington households to compare marginal WTP for forest ecosystem services and the total WTP for cost-effective\nbundles of forest ecosystem services obtained from a typical Pacific Northwest forest across two value elicitation\nformats representing two different ecosystem market mechanisms: an incentive-compatible choice experiment involving mandatory tax payments and a hypothetical private provision scenario modeled as eliciting contributions to the preferred forest management alternative via a provision point mechanism with a refund. A representative household’s total WTP for the average forest management program was estimated at $217.59 per household/year under a mandatory tax mechanism and $160.44 per household/per year under a voluntary, crowdfunding-style, contribution mechanism; however, these estimates are not statistically different. Marginal WTP estimates were assessed for particular forest ecosystem service attributes including water quality, carbon storage, mature forest habitat, and public recreational access. This study finds that survey respondents place significant economic value on forest ecosystem services in both elicitation formats and that the distributions of the marginal WTP are not statistically significantly different."]
[236,"Sheremet, O., John R. Healey, Christopher P. Quine and Nick Hanley (2017). Public Preferences and Willingness to Pay for Forest Disease Control in the UK. Journal of Agricultural Economics 68(3), 781-800","Invasive pests and diseases in trees impose a range of costs on society related to reductions in timber values, impacts on recreational opportunities and effects on forest biodiversity. These costs need to be considered when assessing control options and developing public policy. We investigate the preferences and willingness to pay of the UK general public for a range of forest disease control measures using a choice experiment with a sample of 605 people. Respondents were relatively well informed about general tree disease-related issues, such as causes and general measures to minimise the risk of disease spread. They were less knowledgeable about specific tree diseases, with Dutch elm disease and chalara ash dieback being the most well known. We find that disease control programmes in publicly-owned forests and forests owned by charitable trusts are more likely to be supported by the public than equivalent control programmes in privately-owned and/or commercial forests. The nature of scientific uncertainty about diseases does not affect peoples’ preferences for disease control measures significantly. Higher respondent income, greater ex-ante knowledge about tree diseases, and more frequent visits to forests are correlated with greater willingness to support publicly-funded tree disease control programmes in forests. Better knowledge about tree diseases also improves the clarity of respondents’ choices. We find a negative sentiment against some disease control measures, such as clear felling of a forest, and chemical or biocide spraying. We conclude that there is significant public support for partfinancing forest disease control policies in the UK, but that this is conditional on forest ownership and the type of control measures used."]
[237,"Balderas Torres, A., Douglas C. MacMillan, Margaret Skutsch, Jon C. Lovett (2015). Reprint of ‘Yes-in-my-backyard’: Spatial differences in the valuation of forest services and local co-beneﬁts for carbon markets in México. Ecological Economics 117:283-294","Forests provide many and large beneﬁts, including cost-efﬁcient climate change mitigation. However international carbon markets have not stimulated the demand for forestry offsets. Domestic market-mechanisms are emerging in many countries and forests could be highly valued through these policies as most of the beneﬁts produced by forests are enjoyed locally. Here, a choice experiment explores drivers of valuation and willingness to pay for forest carbon services in voluntary markets in Mexico by comparing the valuation of citizens from four regions to test geographical preference for projects (n = 645). Findings from multinomial-logit models show valuation of forest carbon services is transferable and citizens would pay more for offsets from projects closer to their homes. Proximate forests provide a range of co-beneﬁts to local users, including environmental services and opportunities for recreation. Factors related to valuation include sense of responsibility, previous knowledge of carbon emissions, previous visits to the sites, regional identiﬁcation and the valuation of local environmental services (e.g. improvements in local air quality). Knowledge of spatial heterogeneity in valuation of the use of forest services can help to design market-based instruments by identifying highly valued areas for environmental services programs and carbon markets."]
[238,"Valasiuk, S., Mikołaj Czajkowski, Marek Giergiczny, Tomasz Zylicz, Knut Veisten, Marine Elbakidze, Per Angelstam (2017). Are bilateral conservation policies for the Białowieza forest\nunattainable? Analysis of stated preferences of Polish and Belarusian public. Journal of Forest Economics 27: 70-79","Transboundary nature protected areas constitute a considerable proportion of all the existing spatial forms of biodiversity protection. One prominent example is the Białowie ˙za Forest, shared by Poland and Belarus. There is a considerable literature on allocation of funds to preserving nature shared by several countries. Some of this literature assess the funding schemes and the impacts on biodiversity within the EU. A particular challenge for the Białowieza Forest is that the larger part of it is outside the EU border. There has been less research on the economic beneﬁts that citizens attach to protected transboundary land nature on the other side of the border. We are trying to ﬁll the gap by ﬁnding out and comparing preferences towards increased protection of domestic and foreign segments of the transboundary Białowieza Forest, stated by samples of Polish and Belarusian citizens. The results of a discrete choice experiment show an almost unilateral preference for nature conservation, passive protection of forest land, on the domestic side. Whilst Polish respondents on average are willing to pay for an increased area under protection, on their side of the border, most Belarusians seem to be satisﬁed with the status quo. Taken at face value, there is even an apparent mutual disutility derived from the perspective of co-ﬁnancing bilateral passive protection programmes in the Białowie ˙za Forest. By use of latent class analyses of responses, a group of the Polish sample willing to contribute to the transboundary conservation is identiﬁed and described, and compared against the non-cooperative groups on both sides of the border. The results can to some extent be explained by a strict border division with a high fence, by differences in welfare or by behavioural reasons. However, it cannot be ruled out that the affected populations simply do not perceive the Białowie ˙za Forest as a binational public good.","Flora_Fauna - Non-use value production - General Public"]
[239,"VALASIUK, S., MIKOŁAJ CZAJKOWSKI,\nMAREK GIERGICZNY, TOMASZ ŻYLICZ,\nKNUT VEISTEN, ASKILL HARKJERR HALSE,\nIRATXE LANDA MATA, MARINE ELBA KIDZE,\nPER ANGELSTAM (2017). IS FOREST LANDSCAPE RESTORATION SOCIALLY DESIRABLE? A DISCRETE CHOICE  EXPERIMENT APPLIED TO THE SCANDINAVIAN TRANSBOUNDARY FULUFJÄLLET NATIONAL PARK AREA. Working Paper\nNo. 10/2017 (239), University of Warsaw","Landscape restoration can improve functionality of land cover patches as green infrastructure, which is essential to ensure the provision of a diverse range of ecosystem services. However, so far designation of protected areas in Fennoscandia has focused primarily on remnant patches of naturally dynamic forests, and not on landscape level restoration. We applied stated preference methodology to assess citizens’ preferences for forest landscape restoration in a cross-border region primarily managed for the industrial forestry, and – at the same time – hosting the transboundary Fulufjället National Park, shared between Sweden and Norway. There is scope for improving green\ninfrastructure functionality by landscape restoration in adjacent forest areas, and including them into the National Park, which aims at gradual restoration of natural processes. In both countries, 54% and 55% choices made, respectively, indicated willingness to pay for extending the National Park by some area of forest landscape restoration."]
[240,"Varela, E., Jette Bredahl Jacobsen, Robert Mavsar (2017). Social demand for multiple beneﬁts provided by Aleppo pine forest management in Catalonia, Spain. Reg Environ Change 17:539-550","This paper estimates the social demand for key beneﬁts provided by Aleppo pine forests in Catalonia that can be enhanced by management. These so-called externalities are the side effects of forest management on citizens’ welfare and can be either positive or negative. The externalities addressed are: biodiversity (measured as the number of tree species), accessibility for practicing recreational activities, CO sequestration and annual burned area by wildﬁres. By the use of a choice experiment, an economic valuation method, we estimate in a joint manner people’s preferences for these externalities and show that there is a social demand for their enhanced provision. Based on these estimates, we construct three hypothetical scenarios reﬂecting the range of likely outcomes of different management strategies and calculate the social demand for these scenarios. Results show that the highest gains in terms of social beneﬁts are obtained under a scenario that minimizes the burned area (2044.23 €/ha year). Our estimates show that an increase in the investment in forest management is in line with the social demand for forest beneﬁts and the social support that exists for a related cost increase for inhabitants."]
[241,"Zhang, D., Stenger, A. (2015) Value and valuation of forest ecosystem services, Journal of Environmental Economics and Policy, 4:2, 129-140","In this paper, we ﬁrst present a total forest economic value framework from an anthropocentric instrumental value perspective and differentiate gross value, economic value, market value, and valuation of forest ecosystem services. We then argue that some of the demand-side-based non-market valuation approaches only provide an estimate of gross value, not economic value. Thus, strictly speaking, they are not market valuation per se as the supply side is ignored, and as many nonmarketable and non-extractive forest ecosystem services are concerned, it is often the\nsupply side   the opportunity costs of resources used to produce them that determine the economic values of these services. Finally, we identify the role of economic valuation of forest ecosystem services in the political market that often allocates resources directly to produce these services."]
[242,"Zhang, Y., Jiancheng Chen, Mingxing Hu, Armin Offer (2016). Valuation of forest carbon sinks in China within the framework of the system of national accounts. J For Res 27(6): 1321 - 1328","To better promote forest resource management and strengthen the development of forest carbon sink marketization, this paper studied the accounting of forest carbon sinks from 2003 to 2008 based on a system of national accounts (SNA) and data from the latest forest resources inventory in China. The study calculated the value of forest carbon stocks at a total of RMB 817.13 x 10^9 yuan in 2003 and RMB 839.93 x 10^9 yuan in 2008, with an average annual increase of 0.55 % from an increase in physical carbon sinks. The total value of forest carbon sinks in 2003 and 2008 was RMB 26.73 x 10^9 yuan and RMB 29.77 x 10^9 yuan, respectively, with an average annual growth of 2.18 %. From 2003 to 2008, both stock and ﬂow value of forest carbon sinks increased, but the total net ﬂow value of carbon sinks decreased. The growth rate for the environmentally adjusted Gross Domestic Product (eaGDP) for China’s forest carbon sinks was 17.23 %, outstripping the average growth rate of 9.5 % for the GDP during the same period. The study also indicates that China’s forest carbon sinks affects the GDP in the range of 0.25–0.26 %, and its economic potential is not relatively huge."]
[243,"Alarcon , Gisele G., Yohannes Ayanu, Alfredo C. Fantini, Joshua Farley, Abdon Schmitt Filho, Thomas Koellner (2015). Weakening the Brazilian legislation for forest conservation has severe\nimpacts for ecosystem services in the Atlantic Southern Forest. Land Use Policy 47: 1-11.","The Atlantic Forest is a global hotspot of biodiversity that may be on the verge of ecological collapse. Current changes in forest legislation have increased the debate concerning policy impacts on land-use and the consequences for biodiversity conservation and ecosystem services provision.This paper evaluates the impact of three environmental policy options (National Forest Act from 1965 - NFA65, Business as Usual - BAU, National Forest Act from 2012 - NFA12) on land-use patterns and ecosystem services in the southern Atlantic Forest. InVEST (the Integrated Valuation of Environmental Services and Trade offs tool) was used to model ecosystem services. Synergies and tradeoffs between commodities, erosion regulation, carbon storage and habitat for biodiversity were assessed with the Spearman Correlation Test.The NFA65 produced the largest gains for forest ecosystem services, while BAU favored commodities expansion. The NFA12 approaches the baseline, contributing less to the provision of ecosystem services and biodiversity conservation."]
[244,"Anderegg,William R. L., Tamir Klein, Megan Bartlett, Lawren Sack, Adam F. A. Pellegrini, Brendan Choat, and Steven Jansen (2016). Meta-analysis reveals that hydraulic traits explain\ncross-species patterns of drought-induced tree\nmortality across the globe. PNAS 113: 5024-5029","Drought-induced tree mortality has been observed globally and is expected to increase under climate change scenarios, with large potential consequences for the terrestrial carbon sink. Predicting mortality across species is crucial for assessing the effects of climate extremes on forest community biodiversity, composition, and carbon\nsequestration. However, the physiological traits associated with elevated risk of mortality in diverse ecosystems remain unknown, although these traits could greatly improve understanding and prediction of tree mortality in forests. We performed a meta-analysis on species’ mortality rates across 475 species from 33 studies around the\nglobe to assess which traits determine a species’ mortality risk. We found that species-specific mortality anomalies from community mortality rate in a given drought were associated with plant hydraulic traits. Across all species, mortality was best predicted by a low hydraulic safety margin—the difference between typical minimum xylem water potential and that causing xylem dysfunction—and xylem vulnerability to embolism. Angiosperms and gymnosperms experienced roughly equal mortality risks. Our results provide broad support for the hypothesis that hydraulic traits capture key mechanisms determining tree death and highlight that physiological traits can improve vegetation model prediction of tree mortality during climate extremes."]
[245,"Asner, Gregory P.,  Philip G. Brodrick, Christopher B. Anderson, Nicholas Vaughn, David E. Knapp, and Roberta E. Martin (2015). Progressive forest canopy water loss during the 2012–2015 California drought. PNAS 249-255","The 2012–2015 drought has left California with severely reduced snowpack, soil moisture, ground water, and reservoir stocks, but the impact of this estimated millennial-scale event on forest health is unknown. We used airborne laser-guided spectroscopy and satellite-based models to assess losses in canopy water content of California’s forests between 2011 and 2015. Approximately 10.6 million ha of forest containing up to 888 million large trees experienced measurable loss in canopy water content during this drought period. Severe canopy water losses of greater than 30% occurred over 1 million ha, affecting up to 58 million large trees. Our measurements exclude forests affected by fire between 2011 and 2015. If drought conditions continue or reoccur, even with temporary reprieves such as El Niño, we predict substantial future forest change."]
[246,"Balthazar, V., Vanacker, V., Molina, A., Lambin, E.F. (2015). Impacts of forest cover change on ecosystem services in high Andean mountains Ecological Indicators 48: 63-75","Land conversion affects the delivery of ecosystem goods and services. In this study,weused a 50 years time\nseries of land cover maps to assess the potential impacts of forest cover changes on ecosystem services.\nA multi-source data integration strategy was followed to reduce inconsistencies in land cover change\ndetection that result from the comparison of historical aerial photographs and satellite images. Our forest\ncover change analysis highlighted a shift from net deforestation to net reforestation in the early 1990s,\nconsistent with the forest transition theory. When taking the nature of forest cover changes into account,\nour data show that the areal increase of the forested area was not associated with an improvement in\necological conditions. The overall capacity of the landscape to deliver ecosystem services dropped steadily\nby 16% over the 50 years’ study period. Conversion of native forests to agricultural land was associated\nwith the strongest decline in ecosystem services. Conversion of natural grasslands into pine plantations\nmostly led to negative and probably irreversible impacts on the delivery of ecosystem services. Conversion\nof degraded agricultural lands into pine plantations led to an improvement in ecological conditions.\nAn effective spatial targeting of forestation programs has the potential to maximize the environmental\nbenefits that forest plantations may offer while minimizing their environmental harm."]
[247,"Baral, H., Guariguata, M. R., Keenan, R.J. (2016). A proposed framework for assessing ecosystem services from planted forests. Ecosystem Services 22: 260-268.","The planting of forests has been met with both scepticism and support in international forest policy and\nmanagement fora. Discussions regarding the values of plantations for extrinsic purposes such as timber supply,\ncarbon sequestration, water quality and biodiversity conservation, reveal widely varying opinions across and\nwithin different settings. Recent research highlights the role of planted forests in providing multiple ecosystem\nservices to human society. However, there has been little assessment of ecosystems services, partly due to lack of\nsuitable frameworks and evaluation tools. Planted forests generally have low ecosystem services values initially\nand are more vulnerable to erosion and other impacts of mismanagement than natural forests. Careful\nmonitoring of change in ecosystem services values over time is therefore vital to investors and all stakeholders in\nplantations. Drawing on lessons derived from ecosystem services assessment for various land use types, here we\npropose an easy-to-apply framework to assess ecosystem services from planted forests that could be used in\nvarious planted forest types around the world. A necessary next step for researchers and practitioners is to test\nthe proposed framework under various settings."]
[248,"Filyushkina, Anna, Niels Strange, Magnus Löf, Eugene E. Ezebilo & Mattias Boman (2016). Non-market forest ecosystem services and decision support in Nordic countries, Scandinavian Journal of Forest Research, 31:1, 99-110","The need to integrate non-market ecosystem services into decision-making is widely acknowledged. Despite the exponentially growing body of literature, trade-offs between services are still poorly understood. We conducted a systematic review of published literature in the Nordic countries (Denmark, Norway, Sweden and Finland) on the integration of non-market forest ecosystem services into decision-making. The aim of the review was two-fold: (1) to provide an overview of coverage of biophysical and socio-economic assessments of non-market ecosystem services in relation to forest management; (2) to determine the extent of the integration of biophysical and socio-economic models of these services into decision support models. Our findings reveal the need for wider coverage of non-market ecosystem services and evidence-based modelling of how forest management regimes affect ecosystem services. Furthermore, temporal and spatial modelling of ecosystem impacts remains a challenge. We observed a few examples of multiple non-market services assessments. Integration of non-market services into decision support was performed with either biophysical or socio-economic models, often using proxies and composite indicators. The review reveals that there is scope for more comprehensive and integrated model development, including multiple ecosystem services and appropriate handling of forest management impacts."]
[249,"Gauthier,S., Bernier, P, Kuuluvainen, T.,  Shvidenko, A. Z., Schepaschenko, D.G. (2015). Boreal forest health and global change. Science 349(6250): 819-822 ","The boreal forest, one of the largest biomes on Earth, provides ecosystem services that benefit society at levels ranging from local to global. Currently, about two-thirds of the area covered by this biome is under some form of management, mostly for wood production. Services such as climate regulation are also provided by both the unmanaged and managed boreal forests. Although most of the boreal forests have retained the resilience to cope\nwith current disturbances, projected environmental changes of unprecedented speed and amplitude pose a substantial threat to their health. Management options to reduce these threats are available and could be implemented, but economic incentives and a greater focus on the boreal biome in international fora are needed to support further adaptation and mitigation actions."]
[250,"Ghazoul,J., Burivalova, Z.,Garcia-Ulloa,J.,\nand King, L.A. (2015). Conceptualizing Forest\nDegradation. Trends in Ecology and Evolution 30(10): 622-632","Forest degradation is a global environmental issue, but its definition is problematic. Difficulties include choosing appropriate reference states, timescales, thresholds, and forest values. We dispense with many such ambiguities by\ninterpreting forest degradation through the frame of ecological resilience, and with reference to forest dynamics. Specifically, we define forest degradation as a state of anthropogenically induced arrested succession, where ecological processes that underlie forest dynamics are diminished or severely constrained. Metrics of degradation might include those that reflect ecological processes shaping community dynamics, notably the regeneration of plant species. Arrested succession implies that management intervention is necessary to recover successional trajectories. Such a definition can be applied to any forest ecosystem, and can also be extended to other ecosystems."]
[251,"Häyhä, T., Franzese, P., Paletto, A., Fath, B.D. (2015). Assessing, valuing, and mapping ecosystem services in Alpine forests. Ecosystem Services 14: 12-23.","Forests support human economy and well-being with multiple ecosystem services. In this paper, the ecosystem services generated in a mountainous forest area in North Italy were assessed in biophysical and monetary units. GIS was used to analyze and visualize the distribution and provision of different services. The assessment of ecosystem services in biophysical units was an important step to investigate ecosystem functions and actual service flows supporting socio-ecological systems. The Total Economic Value (TEV) of all the investigated ecosystem services was about 33M€/yr, corresponding to 820 €/ha/yr. The provisioning services represented 40% of the TEV while the regulating and cultural services were 49% and 11%. The service of hydrogeological protection, particularly important in areas characterized by a high risk of avalanches and landslides, showed a major importance among the regulating services (81%) and within the TEV (40%). Results from mapping ecosystem services were useful in identifying and visualizing priority areas for different services, as well as exploring trade-offs and synergies between services. Finally, we argue that while abiophysical perspective can ensure a solid accounting base, a comprehensive economic valuation of all categories of forest ecosystem services can facilitate communication of their importance to policymakers."]
[252,"Jacobs, D.F., Oliet, J.A., Aronson, J., Bolte, A., Bullock, J.M., Donoso, P.J., Landhausser, S.M.,  Madsen, P., Peng, S., Rey-Benayas, J-M., Weber, J.C (2015). Restoring forests: What constitutes success in the twenty-first century? New Forests 46: 601-614","Forest loss and degradation is occurring at high rates but humankind is experiencing historical momentum that favors forest restoration. Approaches to restoration may follow various paradigms depending on stakeholder objectives, regional climate, or the degree of site degradation. The vast amount of land requiring restoration implies the need for spatial prioritization of restoration efforts according to cost-benefit analyses that include ecological risks. To design resistant and resilient ecosystems that can adapt to emerging circumstances, an adaptive management approach is needed. Global change, in particular, imparts a high degree of uncertainty about the future ecological and societal conditions of forest ecosystems to be restored, as well as their desired goods and services. We must also reconsider the suite of species incorporated into restoration with the aim of moving toward more stress resistant and competitive combinations in the longer term. Non-native species may serve an important role under some circumstances, e.g., to facilitate reintroduction of native species. Propagation and field establishment techniques must promote survival through seedling stress resistance and site preparation. An improved ability to generalize among plant functional groups in ecological niche adaptations will help to overcome site-limiting factors. The magnitude and velocity of ongoing global change necessitates rapid responses in genetics that cannot be naturally induced at valid temporal and spatial scales. The capacity for new concepts and technologies to be adopted by managers and accepted by society will depend on effective technology transfer and a community-based approach to forest restoration. The many benefits human society gains from forests requires that forest restoration considers multiple objectives and approaches to minimize trade-offs in achieving these objectives."]
[253,"Kindler, E. (2016). A comparison of the concepts: Ecosystem services and forest functions to\nimprove interdisciplinary exchange. Forest Policy and Economics 67: 52-59","Ecosystems, such as forests and their associated processes, provide numerous goods and services to human societies. These so called ecosystem services, have recently gained a lot of scientific interest, also in the field of forest science. This approach is not new to the forest sector, as forest ecosystems have been used in the past for many different purposes besides wood production and even their non-consumptive benefits have beenwell known for more than one hundred years. Central European forest scientists summarized these diverse services under the\nterm forest functions, a widely accepted approach in the region. Since both concepts have developed separately this paper aims at creating a base to enable interdisciplinary scientific exchange among forest scientists and other disciplines by reviewing and comparing the concepts of ecosystem services and forest functions systematically. This review uses scientific publications (generally in English) to encompass the ecosystemservice concept and textbooks aswell as legislation and forestmanagement guidelines (predominantly German), for the forest functions concept. Additionally a meta-analysis was conducted to examine their publication patterns. The review shows that despite their different backgrounds, both concepts developed similar definitions and classification schemes. Both consider the valuation of services or functions using similar methods, although their motivations for valuation differ. Interactions of functions and services are more intensely investigated within the ecosystem service concept, whereas forest functions have been more management orientated and consider aspects of sustainability – two points that have been criticized to be insufficiently considered within the ecosystem service concept.Merging the ideas of ecosystemservices and forest functions can therefore contribute to science in general, forest policy as well as forest management."]
[254,"Köhl, M., Lasco, R.,Cifuentes, M., Jonsson, O, Korhonen, KT., Mundhenk, P., Navar, J. J., Stinson, G., (2015). Changes in forest production, biomass and carbon: Results from the 2015 UN FAO Global Forest Resource Assessment. Forest Ecology and Management 352: 21–34","Forests are important sources of livelihoods to millions of people and contribute to national economic development of many countries. In addition, they are vital sources and sinks of carbon and contribute to the rate of climate change. The UN Food and Agriculture Organization has been collecting and presenting data on global forest resources and forest cover since 1948. This paper builds on data from FAO’s 2015 Global Forest Resource Assessment (FRA) and presents information on growing stock, biomass, carbon stock, wood removals, and changes of forest area primarily designated for production and multiple use of the world’s forests. Between 1990 and 2015, the total growing stock volume has increased in East Asia, Caribbean, Western and Central Asia, North America, Europe (including the Russian Federation), and Oceania with the highest relative increase in East Asia and the Caribbean. In all other subregions the total growing stock volume decreased. North and Central America, Europe and Asia report forest C stock increases while South America and Africa report strong decreases and Oceania reports stable forest C stocks. The annual rate of decrease of forest C stock weakened between 1990 and 2015. The total volume of annual wood removals including woodfuel removals increased between 1990 and 2011, but shows a remarkable decline during the 2008–2009 economic crisis. Forest areas designated for production purposes differ considerably between subregions. The percentage of production area out of total forest area ranges between 16 percent in South America and 53 percent in Europe. Globally about one quarter of the forest area is designated to multiple use forestry. The balance between biomass growth and removals shows considerable sub-regional differences and related implications for the sustainable use of forests"]
[255,"Lakerveld, R.P., Lele, S., Crane, T.A., Fortuin, K.P.J., Springate-Baginski, O. (2015). The social distribution of provisioning forest ecosystem services:Evidence and insights from Odisha, India. Ecosystem Services 14: 56–66","Ecosystem services research has highlighted the importance of ecosystems for human well-being. Most of the research, however, focuses only on aggregate human well-being and disregards distributional and equity issues associated with ecosystem services. We review approaches from institutional economics, political ecology and the social sciences in order to develop an analytical framework to understand the distribution of benefits from ecosystems across different socio-cultural groups and the underlying social processes involved. We then present a case study of the distribution of provisioning ecosystem services in aforest fringe village in Odisha, India. Our analysis shows the unequal distribution of ecosystem services and complex social processes that determine these. We identify the determining factors and processes to include: differential resource-specific needs, different cultural identities, differentiated social status and bargaining power, exclusionary and inclusionary social practices, differential access. Our analysis proves therefore that aggregation of forest ecosystem benefits obscures crucially important patterns of distribution, and the underlying social processes that determine these.This also demonstrates the necessity of applying social science frameworks in such analyses. Our study also shows that most ecosystem services are co-produced through both ecosystem processes and social actions, and so their assessment cannot be separated from the social context in which they are embedded. In conclusion we recommend that ecosystem services research engages more with process-oriented, context-specific and integrated approaches, based on a recognition of the complexity of social-ecological realities."]
[256,"Lwasa, S., Mugagga, F., Wahab, B., Simon, D.,  Connors, J.P., Griffith, C. (2015). A meta-analysis of urban and peri-urban agriculture and forestry in mediating climate change. Current Opinion in Environmental Sustainability 2015, 13:68–73","This paper systematically reviews literature on urban and peri-urban agriculture and forestry (UPAF) in mediating climate change. The study includes both peer-reviewed and grey literature (274 literature sources), and synthesizes evidence and agreement on both UPAF’s potential and limitations for mitigating and adapting to climate change. Eight East and West African cities were included in the review: Accra, Addis Ababa, Dakar, Dar es Salaam, Douala, Kampala, Ibadan and Nairobi. The review focuses on urban livelihoods, ecosystem services and urban policy responses as pathways to mediating climate change. Literature on UPAF indicates emerging consensus on the potential of UPAF in adaptation, but less agreement with respect to mitigation of climate change. African cities are\nimplementing several measures including UPAF to address issues of development, reduce inequality and move towards low emissions development strategies. This calls for integrated urban development that supports green growth to harness economic opportunities with social and environmental benefits. The review reveals that through UPAF, the potential for mitigation and adaptation of climate change can address some development deficit issues and transform institutions at the city-regional level by leveraging good UPAF practices."]
[257,"Macpherson, M.F., Kleczkowski, A., Healey, J.R., Hanley, N. (2016). The Effects of Disease on Optimal Forest Rotation: A Generalisable Analytical Framework. Environmental and Resource Economics https://doi.org/10.1007/s10640-016-0077-4","The arrival of novel pathogens and pests can have a devastating effect on the market values of forests. Calibrating management strategies/decisions to consider the effect of disease may help to reduce disease impacts on forests. Here, we use a novel generalisable, bioeconomic model framework, which combines an epidemiological compartmental model with a Faustmann optimal rotation length model, to explore the management decision of when to harvest a single rotation, even-aged, plantation forest under varying disease conditions. Sensitivity analysis of the rate of spread of infection and the effect of disease on the timber value reveals a key trade-off between waiting for the timber to grow and the infection spreading further. We show that the optimal rotation length, which maximises the net present value of the forest, is reduced when timber from infected trees has no value; but when the infection spreads quickly, and the value of timber from infected trees is non-zero, it can be optimal to wait until the disease-free optimal rotation length to harvest. Our original approach provides an exemplar framework showing how\na bioeconomic model can be used to examine the effect of tree diseases on management strategies/decisions."]
[258,"Morales-Hidalgo, D., Oswalt, S.N., Somanathan, E. (2015). Status and trends in global primary forest, protected areas, and areas designated for conservation of biodiversity from the Global Forest Resources Assessment 2015. Forest Ecology and Management 352: 68–77","The global community has recognized the importance of forests for biodiversity, and has prioritized the preservation of forest biodiversity and ecosystem functions through multiple multilateral agreements and processes such as the Convention on Biodiversity’s Aichi Targets and the Millennium Development Goals. The Global Forest Resources Assessment (FRA) provides one mechanism for tracking progress toward such goals in three particular areas: primary forest area, protected forest areas, and areas designated for the conservation of biodiversity. In this paper, we quantify current area and trends in forest areas designated for the conservation of biodiversity, protected forest areas, and primary forests by country and biome; and examine the association between total forest area and measures of protection, per-capita income, and population. The overall findings suggest that countries are increasingly protecting forests of ecological significance at the global scale (7.7% of forests were protected in 1990 rising to 16.3% in 2015), with a strong upward trend in protected areas in the tropical domain (from 12% in 1990 to 26.3% in 2015). However, primary forest area has declined by 2.5% globally and by 10% in the tropics over the\nperiod 1990–2015 (using data for countries that reported in all years). Given that many species in the\ntropics are endemic to primary forests, losses in that climatic domain continue to be of concern, although the rate of decline appears to be slowing. Using multiple regression analysis, we find that a 1% increase in protected area or area designated for biodiversity conservation within a country is associated with an increase in total forest area in that country of about 0.03% (p < 0.05). A 1% within-country increase in population density and per capita GDP are associated with a decrease in forest area of about 0.2% (p < 0.01) and an increase in forest area of about 0.08% (p < 0.05) respectively. Our findings also indicate that, since FRA is used as one mechanism for tracking progress toward goals like the AICHI Biodiversity Targets, country correspondents may require additional assistance toward reporting on primary forest, protected forest, and biodiversity conservation statistics."]
[259,"Papanastasis, V.P., Bautista, S., Chouvardas, D., Mantzanas, K., Papadimitriou, M.,\nMayor, A.G., Koukioumi, P., Papaioannou, A., Vallejo, R.V. (2017). COMPARATIVE ASSESSMENT OF GOODS AND SERVICES PROVIDED BY GRAZING REGULATION AND REFORESTATION IN DEGRADED\nMEDITERRANEAN RANGELANDS. Land degradation & development 28: 1178-1187","Several management actions are applied to restore ecosystem services in degraded Mediterranean rangelands, which range from adjusting the grazing pressure to the removal of grazers and pine plantations. Four such actions were assessed in Quercus coccifera L. shrublands in northern Greece: (i) moderate grazing by goats and sheep; (ii) no grazing; (iii) no grazing plus pine (Pinus pinaster Aiton) plantation in forest gaps (gap reforestation); and (iv) no grazing plus full reforestation of shrubland areas, also with P. pinaster. In addition, heavy grazing was also assessed to serve as a control action. We comparatively assessed the impact of these actions on key provisioning, regulating and supporting ecosystem services by using ground-based indicators. Depending on the ecosystem service considered, the management actions were ranked differently. However, the overall provision of services was particularly favoured under moderate and no grazing management options, with moderate grazing outranking any other action in provisioning services and the no grazing action presenting the most balanced provision of services. Pine reforestations largely contributed to water and soil conservation and C sequestration but had a negative impact on plant diversity when implemented at the expense of removing natural vegetation in the area. Heavy grazing had the lowest provision of ecosystem services. It is concluded that degraded rangelands can be restored by moderating the grazing pressure rather than completely banning livestock grazing or converting them into pine plantations."]
[260,"Petersen, A.H., Strange, N., Anthon, S., Bjørner, T.B., Rahbek C. (2016). Conserving what, where and how? Cost-efficient measures toconserve biodiversity in Denmark. Journal for Nature Conservation 29: 33–44","Biodiversity conservation efforts in Europe have traditionally focused on farmland and open nature areas such as grasslands, heathlands and meadows, while little attention has been devoted to conservation actions in forest. Using detailed information on the geographical distribution of about 900 terrestrialspecies in Denmark we apply systematic conservation planning techniques to identify how to protect biodiversity at the lowest cost to society. The results suggest that conservation actions in forest should be given a higher priority. Thus, three to four times the number of forest species are protected per million € compared with species living in open land natural areas. Furthermore, a gap analysis finds the current designation of Natura 2000 and other protected areas is skewed toward open land natural areas, and insufficient to meet the conservation targets on forest species."]
[261,"Puettmann, K.J , McG Wilson, S., Baker, S.C., Donoso, P.J., Drössler, L., Amente, G., Harvey, B.D., Knoke, T., Lu, Y., Nocentini, S., Putz, F.E., Yoshida, T., Bauhus, J. (2015). Silvicultural alternatives to conventional even-aged forest management - what limits global adoption? Forest Ecosystems: 2:8","Background: The development of forestry as a scientific and management discipline over the last two centuries has mainly emphasized intensive management operations focused on increased commodity production, mostly wood. This “conventional” forest management approach has typically favored production of even-aged, single-species\nstands. While alternative management regimes have generally received less attention, this has been changing over the last three decades, especially in countries with developed economies. Reasons for this change include a combination of new information and concerns about the ecological consequences of intensive forestry practices and a willingness on the part of many forest owners and society to embrace a wider set of management objectives. Alternative silvicultural approaches are characterized by a set of fundamental principles, including avoidance of clearcutting, an emphasis on structural diversity and small-scale variability, deployment of mixed species with natural regeneration, and avoidance of intensive site-preparation methods. \n\nMethods: Our compilation of the authors’ experiences and perspectives from various parts of the world aims to initiate a larger discussion concerning the constraints to and the potential of adopting alternative silvicultural practices.\n\nResults: The results suggest that a wider adoption of alternative silvicultural practices is currently hindered by a suite of ecological, economic, logistical, informational, cultural, and historical constraints. Individual contexts display their own unique combinations and relative significance of these constraints, and accordingly, targeted efforts, such as regulations and incentives, may help to overcome specific challenges.\n\nConclusions: In a broader context, we propose that less emphases on strict applications of principles and on stand structures might provide additional flexibility and facilitate the adoption of alternative silvicultural regimes in a broader set of circumstances. At the same time, the acceptance of alternative silvicultural systems as the “preferred or default mode of management” will necessitate and benefit from the continued development of the scientific basis and valuation of a variety of ecosystem goods and services. This publication is aimed to further the discussion in this context."]
[262,"Seidl, R., Spies, T.A., Peterson, D.L., Stephens, S.L., Hicke, J.A. (2016). Searching for resilience: addressing the impacts of changing disturbance regimes on forest ecosystem services. Journal of Applied Ecology 2016, 53: 120–129","1. The provisioning of ecosystem services to society is increasingly under pressure from global change. Changing disturbance regimes are of particular concern in this context due to their high potential impact on ecosystem structure, function and composition. Resilience-based stewardship is advocated to address these changes in ecosystem management, but its operational implementation has remained challenging.\n2. We review observed and expected changes in disturbance regimes and their potential impacts on provisioning, regulating, cultural and supporting ecosystem services, concentrating on temperate and boreal forests. Subsequently, we focus on resilience as a powerful concept to quantify and address these changes and their impacts, and present an approach towards its operational application using established methods from disturbance ecology.\n3. We suggest using the range of variability concept – characterizing and bounding the long- term behaviour of ecosystems – to locate and delineate the basins of attraction of a system. System recovery in relation to its range of variability can be used to measure resilience of ecosystems, allowing inferences on both engineering resilience (recovery rate) and monitoring for regime shifts (directionality of recovery trajectory).\n4. It is important to consider the dynamic nature of these properties in ecosystem analysis and management decision-making, as both disturbance processes and mechanisms of resilience will be subject to changes in the future. Furthermore, because ecosystem services are at the interface between natural and human systems, the social dimension of resilience (social adaptive capacity and range of variability) requires consideration in responding to changing disturbance regimes in forests.\n5. Synthesis and applications. Based on examples from temperate and boreal forests we synthesize principles and pathways for fostering resilience to changing disturbance regimes in ecosystem management. We conclude that future work should focus on testing and implementing these pathways in different contexts to make ecosystem services provisioning more robust to changing disturbance regimes and advance our understanding of how to cope with change and uncertainty in ecosystem management.\n"]
[263,"Sereke, F., Graves, A.R., Dux, D., Palma, J.H.N., Herzog, F., (2015). Innovative agroecosystem goods and services: key profitability drivers in Swiss agroforestry. Agron. Sustain. Dev. 35: 759\n– 770.\n\n\n","Trees that characterized many agricultural landscapes across Europe are declining, despite the recent revival of agroforestry research and increasing direct payments for their maintenance. Therefore, in addition to field experiments, there is a need for transdisciplinary research in close alliance with local farmers. This paper proposes a three-step participatory design and assessment approach, incorporating local innovation and scientific evidence. To our knowledge, this is the first participatory and bioeconomic analysis of farmer-designed agroforestry systems in Europe. First, an exploratory survey of farmers’ innovations in Switzerland was conducted together with a literature review. Based on the survey, 14 representative agroforestry practices were defined for the bioeconomic assessment, focusing on walnut (Juglans hybr.) and wild cherry (Prunus avium). The predictions of long-term yields were made with the Yield-SAFE model, and the profitability was assessed using the Farm-SAFE model. The survey results suggested a lack of local knowledge on key ecosystem services provided by agroforestry. It is therefore recommended to apply the concept of ecosystem services, in order to support the design of multifunctional agriculture and to increase the willingness to pay for its services. According to our yield predictions, mixing trees and crops was commonly more productive (12 out of the 14 options, land equivalent ratio=0.95 –1.30) than growing them in separate forestry or arable systems. This result contradicts the widespread view among modern Swiss farmers that agroforestry is unproductive. In terms of profitability, 68 % of the 56 financial scenarios for the agroforestry practices, particularly those linked to innovative marketing of fruit or receiving payments for ecosystem services, were found to be more profitable than the business as usual reference systems. These results demonstrate that there is a need and a value in bridging the gap between scientists and farmers, in order to coproduce applied knowledge for the design of productive agroforestry practices."]
[264,"Sing, L., Metzger, M.J.,, Paterson, J.S., Ray, D. (2017). A review of the effects of forest management intensity on ecosystem services for northern European temperate forests with a focus on the UK. Forestry 00: 1 – 14","Ecosystem services (ES) are the benefits that people receive from ecosystems. Understanding the impact of forest management on their supply can inform policy and practice for meeting societal demand. The objectives of this paper are to identify and review the effect of management intensity on priority ES supply and identify synergies and trade-offs among ES of different management approaches. We review seven priority ES identified from UK land and forestry strategy and policy documents: timber/biomass production, carbon storage, biodiversity, health and recreation, water supply and quality and flood protection. We present a synthesis of the impact of management on relative ES supply. It shows that low intensity management is unsuitable for high biomass production, yet provides high or moderately high levels of other services. Higher intensity management impacts negatively on biodiversity, health and recreation and water supply services. Combined objective forestry provides high or moderately high levels for all services except biomass. We recommend that a diversity of management approaches is needed to maintain multiple ecosystem service provision. The ES framework offers opportunities to forest management by revealing areas of conflict or co-production and potential trade-offs that may arise from adjusting management intensity."]
[265,"Sloan, S., Sayer, J.A. (2015). Forest Resources Assessment of 2015 shows positive global trends but forest loss and degradation persist in poor tropical countries. Forest Ecology and Management 352: 134–145","The Global Forest Resources Assessment 2015 shows that deforestation has slowed and afforestation has increased globally during 1990–2015. Planted forests have increasingly provided goods and services hitherto derived from natural forests, and mosaic forests in agricultural landscapes are increasing. Forest gain is occurring at higher latitudes and in richer countries whilst forest loss continues in poor countries in the tropics. Some middle income tropical countries are now also transitioning to forest gain. These transition countries are characterised by reforms to forest management and improvements in agricultural practices but also by significant expansions of planted forest, which account for  25–100% of gains. Forest-area estimates of the FRA align with satellite-derived estimates, with deviations of 6±7% globally and 6±17% for the tropics. Mosaics comprised of trees outside forests, remnant forest patches, and young regenerating forests constitute a modest proportion of the tropical forest estate and are seemingly well inventoried by the FRA. Extensive areas of forest experienced partial canopy cover reduction since 2000, particularly in the tropics where their area is  6.5 times that deforested since 1990. The likelihood of the eventual loss of these forests and a decline in their capacity to provide goods and services is a matter of concern. Demand for industrial wood and fuelwood increased 35% in the tropics since 1990, principally in poorer countries, and growth in demand will accelerate into the future, particularly in the Asia-Pacific region. Notwithstanding significant increases in forests within protected areas since 1990 to 517 Mha (16.3%) globally and 379 Mha (26.6%) in the tropics, increasing demands for ecological services, forest products, and climate change mitigation is likely to be met from an expanding area of planted forests more than from the declining area of natural forests, particularly in Africa. The global rate of planted-forest expansion since 1990 is close to a target rate of 2.4% per annum necessary to replace wood supplied from natural forests in the medium term, though the expansion rate has declined to 1.5% since 2005. Multiple-use forests permitting both production and conservation account for 26% of the global forest area and 17% of the tropical forest area, and have increased by 81.8 Mha or 8.5% globally since 1990, with most gains in the tropics. Sustainable forest management in low-income and tropical countries remains modest, with only 37% low-income country forests covered by forest inventories. International support has proven effective at increasing this coverage since 2010."]
[266,"Spake, R., Ezard, T.H.G., Martin, P.A.Newton,A.C.,\nDoncaster, C.P. (2015). A meta-analysis of functional group responses to forest recovery outside of the tropics. Conservation Biology. 29(6): 1695–1703","Both active and passive forest restoration schemes are used in degraded landscapes across the world to enhance biodiversity and ecosystem service provision. Restoration is increasingly also being implemented in biodiversity offset schemes as compensation for loss of natural habitat to anthropogenic development. This has raised concerns about the value of replacing old-growth forest with plantations, motivating research on biodiversity recovery as forest stands age. Functional diversity is now advocated as a keymetric for restoration success, yet it has received little analytical attention to date. We conducted a meta-analysis of 90 studies that measured differences in species richness for functional groups of fungi, lichens, and beetles between oldgrowth control and planted or secondary treatment forests in temperate, boreal, and Mediterranean regions. We identified functional-group–specific relationships in the response of species richness to stand age after forest disturbance. Ectomycorrhizal fungi averaged 90 years for recovery to old-growth values (between 45 years and unrecoverable at 95% prediction limits), and epiphytic lichens took 180 years to reach 90% of old-growth values (between 140 years and never for recovery to old-growth values at 95% prediction limits). Non-saproxylic beetle richness, in contrast, decreased as stand age of broadleaved forests increased. The slow recovery by some functional groups essential to ecosystem functioning makes old-growth forest an effectively irreplaceable biodiversity resource that should be exempt from biodiversity offsetting initiatives"]
[267,"Verheyen, K., Vanhellemont, M., Auge, H.,  Baeten, L., Baraloto, C., Barsoum, N., et al. (2016). Contributions of a global network of tree diversity experiments to sustainable forest plantations. Ambio 45:29–41","The area of forest plantations is increasing worldwide helping to meet timber demand and protect natural forests. However, with global change, monospecific plantations are increasingly vulnerable to abiotic and biotic disturbances. As an adaption measure we need to move to plantations that are more diverse in genotypes, species, and structure, with a design underpinned by science. TreeDivNet, a global network of tree diversity experiments, responds to this need by assessing the advantages and disadvantages of mixed species plantations. The network currently consists of 18 experiments, distributed over 36 sites and five ecoregions. With plantations 1–15 years old, TreeDivNet can already provide relevant data for forest policy and management. In this paper, we highlight some early results on the carbon sequestration and pest resistance potential of more diverse plantations. Finally, suggestions are made for new, innovative experiments in understudied regions to complement the existing network."]
[268,"Bele, M.Y., Sonwa, D.J., Tiani A.-M. (2015). Adapting the Congo Basin forests management to climate change: Linkages among biodiversity, forest loss, and human well-being. ","Tropical forests are at the center of any global debate on climate change and sustainable forestmanagement because of their twin roles in climate change adaptation andmitigation and for resilient development. However, in the countries of the Congo Basin forests receive very little attention in national planning and policies. Climate change is not currently considered in decisions and long-term forest management plans in these countries. This paper demonstrates that: (1) Congo Basin forests are needed for adaptation because they can help to decrease human vulnerability to climate change; and (2) Congo Basin forest management practices need to be adapted to accommodate climate change because these forests are vulnerable to climate change. A framework for facilitating adaptation in forestry is discussed and a review of adaptive actions presented. The paper recommends the adoption of sustainable forestmanagement approach that includes a climate change focus. Suchmanagement should not only avoid any adverse effects on the forest resources and conservation of biodiversity, but also provides opportunities for greater, more sustainable rural development and poverty alleviation through income generation and employment opportunities."]
[269,"Borzykowski, N., Baranzini, A., Maradan, D. (2018). Scope Effects in Contingent Valuation: Does the Assumed Statistical Distribution of WTP Matter? Ecological Economics 144: 319-329","Economic theory assumes that willingness to pay (WTP) increases with the quantity of the consumed good. This\nimplies that there should be a scope effect in contingent valuation studies. However, in previous issues of\nEcological Economics, several authors criticized the contingent valuation (CV) method for the absence of such\neffect or its inadequacy. In this paper, we contribute to this ongoing debate by proposing to systematically apply\nseveral WTP statistical distribution assumptions to test for scope effects and check its plausibility, following\nWhitehead’s (2016) recent recommendations. We perform this approach using data from a Swiss case study\nassessing the WTP for an increased surface of forest reserves. We find that both mean WTP and scope effects are\nsensitive to the statistical distribution assumption. Regarding plausibility, scope elasticities provide mixed result\nand also depend on the assumed statistical distribution of WTP. For small sample size CV studies, a non-parametric\nanalysis, a spike model or an open-ended format can thus be better suited to reveal scope effects than the\nclassical parametric dichotomous choice analysis. We thus recommend to systematically apply several statistical\ndistribution assumptions of WTP to test for scope effects and their plausibility."]
[270,"Calleja, A., Diaz-Balteiro, L., Iglesias-Merchan, C., Soliño, M. (2017). Acoustic and economic valuation of soundscape: An application to the\n‘Retiro’ Urban Forest Park. Urban Forestry and Urban Greening 27: 272-278 ","Urban parks play an outstanding role in cities in protecting their inhabitants from the stress of daily life.\nHowever, these green areas might be affected by noise pollution, thus reducing their social function. The aim of\nthis study was twofold: (i) to characterize the soundscape of the Retiro Park, an urban forest park located in\nMadrid (Spain), and (ii) to estimate the willingness to pay for a noise reduction program. For that purpose, sound\nlevels were measured in different areas in the park, and an on-site survey was conducted to monitor the visitor’s\nsound perception. The noise pollution in the park was not perceived as being high by the majority of the visitors,\neven though the measurements indicate values of LAeq > 55 dB(A) in 6 out of the 9 studied areas. Finally,\nvisitors would be willing to pay 6.36€ once in a lifetime towards a noise reduction program."]
[271,"Chen, T., Swallow, S., Johnston, R. (2015). Farm versus Forest: physical scarcity and the roel of non-convex preferences in the valuation of open-space. Paper presented at the 2015 Agricultural and  Applied Economics Association and Western Agricultural Economics Association Annual Meeting, San Francisco, CA, July 26-28 2015","n.a."]
[272,"Elsasser, P., Meyerhoff, J., Priska, W. (2016). An updated bibliography and database on forest\necosystem service valuation studies in Austria,\nGermany and Switzerland. Thünen Working paper 65","This collection presents an updated bibliography of those empirical forest ecosystem service valuation studies in the German speaking countries which relate to demand oriented measures of the utility of public goods. The associated database (which is provided as a separately downloadable Excel-file) contains 77 data sets by October 2016. These data sets are characterised by about 40 descriptors (the exact number depending on the specific valuation method used in the respective study) which present details of the valuation object, the statistical and economic methods applied, the results of the valuation exercise, some other descriptors for study quality, and the associated publications. The structure of the database is explained in detail here."]
[273,"Felardo, J., Lippitt, C.D. (2016). Spatial forest valuation: The role of location in determining attitudes toward payment for ecosystem services policies. Forest Policy and Economics 62: 158-167.","Forests provide many benefits (e.g., esthetics,water purification, habitat, carbon sequestration) to humans when\nthey are conserved. However, forest conservation efforts may conflict with other uses, particularly timber harvest.\nIncentives for forest conservation can be established through payment for ecosystemservices (PES) policies.\nPES policies rely on forest valuation studieswhich traditionally have valued thewhole forest, or characteristics of\na forest. Methods that allowvariability in estimated forest values over space can provide valuation information at\na finer scale and aid in the optimization of PES policies. These spatially explicit values provide information critical\nto many policy decisions, particularly conservation prioritization and planning. Using moderate resolution satellite remote sensing (i.e., LandSat) and a forest use survey conducted in KamCha i, Thailand, methods to estimate forest product valuation for spatially heterogeneous plots are demonstrated. These estimates are produced using geographic information system (GIS) multicriteria decision analysis (MCDA). TheMCDAmethod combines forest use datawith associated travel costs and vegetation cover estimates to provide spatially explicit estimates of forest values. This information is then used to compare local use values against potential carbon credit values estimated from the literature. The results showthat a majority of the forest plots have higher PES values than for local forest products. Some do not, however, which suggests a possible cause for resistance against potential PES policies implemented in these areas."]
[274,"Lupp, G., Förster, B., Kantelberg, V., Markmann, T.,Naumann, J., Honert, C., Koch, M., Pauleit, S. (2016). Assessing the Recreation Value of Urban Woodland Using the Ecosystem Service Approach in Two Forests in the Munich Metropolitan Region. Sustainability 2016, 8, 1156","Recreation is considered an important ecosystem services (ES) in urban woodlands and puts pressure on other ES. Visitor management strategies can be tools to safeguard biodiversity and ES. On-site data are necessary to evaluate the demand for outdoor recreation opportunities in urban woodlands, but also for providing more reliable values for monetization as a basis for multifunctional forest management, and for raising awareness for the importance of urban proximate forests. Such information can also be used for the assessment and monetization of socio-cultural ES,\nand hence, contribute to developing market-based mechanisms or to promoting these ES. In our paper, we demonstrate methods to describe recreational demand by collecting data from interviews and using camera traps in two forests in the north of Munich for visitor counting. Visitor numbers in the forests were much greater than rough estimations; visitors also had quite long travelling distances to the forests. Jogging or Nordic walking were proven to be important recreational activities. In some of the monitored locations, almost half of the recreationists carried out these sports. Depending on the method chosen, the calculative monetary value of recreation reached up to 15,440 Euro per hectare per year."]
[275,"Ojea, E., Loureiro, M.L., Allo' M., Barrio, M. (2016). Ecosystem Services and REDD: Estimating the Benefits of Non-Carbon Services in Worldwide Forests. World Development 78: 246–261","Forest ecosystems are playing an increasingly important role in climate change mitigation through programs on Reducing Emissions from Deforestation and Forest Degradation (REDD), which targets carbon sequestration. However, decades of environmental valuation studies evidence the economic benefits of other forest ecosystem services different than carbon, and there is no evidence on how these economic benefits differ in countries where REDD is to be implemented. To respond to this question, we conduct a global meta-analysis of forest primary studies published over the past 30 years in which we estimate the economic benefits related to different forest ecosystem services in targeted REDD countries, and discuss the implications of considering these economic figures in REDD decision making. A systematic review of the scientific literature leads to the selection of 52 original studies to conduct a meta-analysis on 205 observations. We obtain that the economic benefits of forest ecosystem services in REDD countries are always greater than in other countries, and provide economic ranges of services to serve as a reference to REDD decision making in relation to co-benefits and opportunity costs. The results have implications for future avoided deforestation programs, which should take co-benefits into account in order to better articulate payments for ecosystems and create proper incentives for forest conservation and sustain local livelihoods."]
[276,"Pechanec, V., Machar, I., Sterbova, L., Prokopova, M., Kilianova, H., Chobot, K., Cudlin, P. (2017). Monetary Valuation of Natural Forest Habitats in\nProtected Areas. Forests, 8, 427","The progressive development of economic valuations of biodiversity in recent decade enables the application of the concept of payments for ecosystem services (PES) in order to conservation of forest biodiversity in protected areas. In this article, the PES concept principles are applied for the monetary valuation of natural forest habitats, which were mapped in the Czech Republic in order to create the Natura 2000 European network. The method is based on expert\nevaluation of every type of mapped habitat by a point value (ranging from 1 to 6 points) for specific ecological evaluating criteria. The monetary value of every point of specific natural forest habitats was defined from the economic analysis of financial expenses of realised ecological restoration projects in the Czech Republic. This method is therefore based on a rather exceptional application of the PES concept, which is still rare in literature because it is based on actual invested financial means, not only on the potential willingness to spend these financial means. The presented results of the monetary valuation of the natural forest habitats in the Czech Republic indicate that the method used for the monetization of forest biodiversity in protected areas can represent a promising decision support tool in countries where habitat mapping results are available."]
[277,"Rambonilaza,T., Brahic, E. (2016). Non-market values of forest biodiversity and the impact of informing the general public: Insights from generalized multinomial logit estimations. Environmental Science & Policy 64: 93-100 ","Apart from the ethical argument around trade-off that individuals have to make between monetary and non-monetary value, application of stated preference method was exposed to another criticism related to the complexity of biodiversity issue and the capacity of the general public to provide accurate responses to willingness to pay elicitation survey. This paper tests how providing information about the ecological processes underlying forest management scenarios affects public preferences and their valuation of biodiversity in publicly owned forest land in France. The generalized multinomial logit models applied to choice experiment data suggests that all respondents adopt the same heuristics based on easily visible aspects of forest landscape, to reveal their use and nonuse values of biodiversity. However, when they receive additional ecological information, only those who are familiar with the biodiversity concept, have awareness of issues at stake, and have a regular use of forest tend to attach higher values to less known biodiversity component (fallen deadwood in this case). The paper concludes that “mass media campaign” has to be completed by environmental literacy programs, to improve people’s awareness and understanding of what biodiversity means from ecological functioning, then making economic valuation a useful tool from a conservation perspective."]
[278,"Jones, L., Vieno, M., Morton, D., Cryle, P., Holland, M., Carnell, E., Nemitz, E., Hall, J., Beck, R., Reis, S., Pritchard, N., Hayes, F., Mills, G., Koshy, A., Dickie, I. (2017). Developing Estimates for the Valuation of Air Pollution Removal in Ecosystem Accounts. Final report for Office of National Statistics, July 2017."]
[279,"Pérez-Silos, I. (2017). Assessing the effectiveness of woodland creation for reducing agricultural diffuse pollution - developing value ranges to create look-up tables. Short term scientific mission scientific report."]
[280,"Dixon, G. and Pettit, A. (2017). Flood management and woodland creation - Southwell Case Study. Hydraulic modelling and economic appraisal report. Report prepared for the Forestry Commission "]
[281,"Mutch et al. (2017). Understanding the value of Southampton’s urban trees. Results of the 2016 i-Tree Eco survey. University of Southampton, Forest Research, Treeconomics and Southampton City Council. Southampton. 81pp. ISBN 978-0-85432-004-2."]
[282,"Moffat et al. (2017). Petersfield’s trees - their importance and value. Results of the i-Tree Eco survey. Report to East Hampshire District Council, South Downs National Park Authority and Petersfield Town Council. The Petersfield Society, Petersfield.\n"]
[283," Rogers, K., Doick, K., Watson, J., and Osborne, E. (2018) Valuing Ealing’s Urban Trees. Trees for Cities and Treeconomics"]
[284,"Day, B. and Smith, G. (2018) The ORVal Recreation Demand Model: Extension Project, Land Environment, Economics and Policy Institute (LEEP), University of Exeter."]