title: Ecosystem Service Valuation Assessments for Protected Area Management: A Case Study Comparing Methods Using Different Land Cover Classification and Valuation Approaches.
abstract: Accurate and spatially-appropriate ecosystem service valuations are vital for decision-makers and land managers. Many approaches for estimating ecosystem service value (ESV) exist, but their appropriateness under specific conditions or logistical limitations is not uniform. The most accurate techniques are therefore not always adopted. Six different assessment approaches were used to estimate ESV for a National Nature Reserve in southwest China, across different management zones. These approaches incorporated two different land-use land cover (LULC) maps and development of three economic valuation techniques, using globally or locally-derived data. The differences in ESV across management zones for the six approaches were largely influenced by the classifications of forest and farmland and how they corresponded with valuation coefficients. With realistic limits on access to time, data, skills and resources, and using acquired estimates from globally-relevant sources, the Buffer zone was estimated as the most valuable (2.494 million ± 1.371 million CNY yr(-1) km(-2)) and the Non-protected zone as the least valuable (770,000 ± 4,600 CNY yr(-1) km(-2)). However, for both LULC maps, when using the locally-based and more time and skill-intensive valuation approaches, this pattern was generally reversed. This paper provides a detailed practical example of how ESV can differ widely depending on the availability and appropriateness of LULC maps and valuation approaches used, highlighting pitfalls for the managers of protected areas.
authors.affiliation: Wildlife Institute, School of Nature Conservation, Beijing Forestry University, Haidian District, Beijing, China.
authors.forename: Charlotte E L
authors.initials: CE
authors.lastname: Whitham
authors.affiliation: Wildlife Institute, School of Nature Conservation, Beijing Forestry University, Haidian District, Beijing, China.
authors.forename: Kun
authors.initials: K
authors.lastname: Shi
authors.affiliation: Wildlife Institute, School of Nature Conservation, Beijing Forestry University, Haidian District, Beijing, China; Department of Zoology, University of Oxford, Oxford, United Kingdom; Wildlife Without Borders, Oxfordshire, United Kingdom.
authors.forename: Philip
authors.initials: P
authors.lastname: Riordan
mesh_terms: D002681:China; D003247:Conservation of Natural Resources / Q000379:methods*; D003657:Decision Making; D017753:Ecosystem; D006801:Humans