Using social-context matching to improve spatial function-transfer performance for cultural ecosystem service models

Recreational and aesthetic enjoyment of public lands is increasing across a wide range of activities, highlighting the need to assess and adapt management to accommodate these uses. Despite a growing number of studies on mapping cultural ecosystem services, most are local-scale assessments that rely on costly and time-consuming primary data collection. As a result, the availability of spatial information on non-market values associated with cultural ecosystem services (social values) remains limited. Spatial function transfer, if it could be justified for social-value models, would expedite the development of social-value information and promote its more regular inclusion in ecosystem service assessments. We used survey data from six national forests in Colorado and Wyoming to explore the potential for transferring cultural ecosystem service models between forests and specifically to test the hypothesis that transfer performance increases with social-context similarity between transferring and receiving areas. Results confirm this relationship but fall just short of being able to predict with certainty when transferred models will meet the minimum performance criterion needed for defensible use by managers. Our results suggest that with the right combination of indicators spatial function transfer can become a defensible means of generating social-value information when primary data collection is not feasible.

[1]  J. Schipperijn,et al.  Tools for mapping social values of urban woodlands and other green areas , 2007 .

[2]  Greg Brown The relationship between social values for ecosystem services and global land cover: An empirical analysis , 2013 .

[3]  R. Johnston,et al.  Methods, Trends and Controversies in Contemporary Benefit Transfer , 2009 .

[4]  M. Plummer,et al.  Assessing benefit transfer for the valuation of ecosystem services , 2009 .

[5]  T. Delshammar,et al.  Recreational ecosystem services in European cities: Sociocultural and geographical contexts matter for park use , 2018 .

[6]  Robert P. Anderson,et al.  Maximum entropy modeling of species geographic distributions , 2006 .

[7]  Laura Nahuelhual,et al.  Mapping recreation and ecotourism as a cultural ecosystem service: an application at the local level in Southern Chile. , 2013 .

[8]  Greg Brown,et al.  Empirical PPGIS/PGIS mapping of ecosystem services: A review and evaluation , 2015 .

[9]  B. Bryan,et al.  Mapping community values for natural capital and ecosystem services , 2009 .

[10]  Gregory Brown,et al.  Public Participation GIS: A New Method for Use in National Forest Planning , 2009, Forest Science.

[11]  Roy Brouwer,et al.  Introduction to Benefit Transfer Methods , 2015 .

[12]  M. Symonds,et al.  A brief guide to model selection, multimodel inference and model averaging in behavioural ecology using Akaike’s information criterion , 2010, Behavioral Ecology and Sociobiology.

[13]  Damaris Zurell,et al.  Collinearity: a review of methods to deal with it and a simulation study evaluating their performance , 2013 .

[14]  Greg Brown Public Participation GIS (PPGIS) for regional and environmental planning: reflections on a decade of empirical research , 2012 .

[15]  Darius J. Semmens,et al.  A comparative assessment of decision-support tools for ecosystem services quantification and valuation , 2013 .

[16]  J A Swets,et al.  Measuring the accuracy of diagnostic systems. , 1988, Science.

[17]  John B. Loomis,et al.  The Evolution of a More Rigorous Approach to Benefit Transfer: Benefit Function Transfer , 1992 .

[18]  D. Semmens,et al.  Validating a method for transferring social values of ecosystem services between public lands in the Rocky Mountain region , 2014 .

[19]  K. Chan,et al.  Rethinking ecosystem services to better address and navigate cultural values , 2012 .

[20]  Sung-Hyuk Cha Comprehensive Survey on Distance/Similarity Measures between Probability Density Functions , 2007 .

[21]  A. Stamps Demographic Effects in Environmental Aesthetics: A Meta-Analysis , 1999 .

[22]  A. Townsend Peterson,et al.  Novel methods improve prediction of species' distributions from occurrence data , 2006 .

[23]  George R. Parsons,et al.  Benefits transfer: conceptual problems in estimating water quality benefits using existing studies , 1992 .

[24]  Darius J. Semmens,et al.  An application of Social Values for Ecosystem Services (SolVES) to three national forests in Colorado and Wyoming , 2014 .

[25]  Kevin J. Boyle,et al.  Benefit transfer studies: Myths, pragmatism, and idealism , 1992 .

[26]  Antony S. Cheng,et al.  Using analyses of public value orientations, attitudes and preferences to inform national forest planning in Colorado and Wyoming , 2011 .

[27]  Greg Brown,et al.  Physical landscape associations with mapped ecosystem values with implications for spatial value transfer: An empirical study from Norway , 2015 .

[28]  Peter H Verburg,et al.  Continental-scale quantification of landscape values using social media data , 2016, Proceedings of the National Academy of Sciences.

[29]  Manasi Kumar,et al.  Valuation of the ecosystem services: A psycho-cultural perspective , 2008 .

[30]  Gregory Brown Mapping Spatial Attributes in Survey Research for Natural Resource Management: Methods and Applications , 2004 .

[31]  B. Burkhard,et al.  Assessment and valuation of recreational ecosystem services of landscapes. , 2018, Ecosystem services.

[32]  Thomas A. Groen,et al.  Transferability of species distribution models: The case of Phytophthora cinnamomi in Southwest Spain and Southwest Australia , 2016 .

[33]  Stuart Cottrell,et al.  Integrating social science research into wildland fire management , 2014 .

[34]  A. Troy,et al.  Mapping ecosystem services: Practical challenges and opportunities in linking GIS and value transfer , 2006 .

[35]  D. Hosmer,et al.  Applied Logistic Regression , 1991 .

[36]  D. Semmens,et al.  A GIS application for assessing, mapping, and quantifying the social values of ecosystem services , 2011 .

[37]  A. Guerry,et al.  Using social media to quantify nature-based tourism and recreation , 2013, Scientific Reports.

[38]  John B. Loomis Counting on Recreation Use Data: A Call for Long-Term Monitoring , 2000 .

[39]  Lindsey S. Smart,et al.  Quantifying the visual-sensory landscape qualities that contribute to cultural ecosystem services using social media and LiDAR , 2018, Ecosystem services.

[40]  M. Dorning,et al.  Integrating Spatially Explicit Representations of Landscape Perceptions into Land Change Research , 2017 .