4.7 Article

Ecosystem service trade-offs from supply to social demand: A landscape-scale spatial analysis

期刊

LANDSCAPE AND URBAN PLANNING
卷 132, 期 -, 页码 102-110

出版社

ELSEVIER
DOI: 10.1016/j.landurbplan.2014.08.009

关键词

Stakeholder; Biophysical indicator; Contingent valuation; Landscape unit; Social preference; Spain; Drylands

资金

  1. Andalusian Center for the assessment of Global Change (CAESCG) (GLOCHARID project)
  2. ERDF (FEDER)
  3. Programa de Cooperacioin Transfroteriza Espana - Fronteras Exteriores (POXTEFEX-Transhabitat)
  4. Andalusian Regional Government (Junta de Andaluciia SEGALERT Project) [P09-RNM-5048]
  5. Ministry of Science and Innovation [CGL2010-22314]
  6. Oklahoma Biological Survey at the University of Oklahoma at the University of Oklahoma (US)
  7. EU FP7 project OPERAs

向作者/读者索取更多资源

Quantitative studies that assess and map the relationship between the supply and social demand of ecosystem services are scarce. Here we address both supply and social demand sides by spatially analyzing ecosystem service trade-offs from three value-dimensions - i.e., biophysical, socio-cultural and economic, and across different landscape units in southeast Spain. To accomplish this goal, within different landscape units, we quantify the supply side by mapping the biophysical values of five ecosystem services, and the social demand exploring their socio-cultural and economic values by analyzing social preferences and contingent valuation methods, respectively. Our results show that the assessments of ecosystem services using different value-dimensions are complementary and useful for (1) identifying ecosystem service trade-offs, both on the supply- and on the social demand-side, and (2) analyzing spatial mismatches among the three value-dimensions of ecosystem services. We also believe that our approach facilitates the exploration of ecosystem services trade-offs on a spatial landscape scale, and results can be used by managers to identify areas in which services are declining or priority areas for conservation based on maximizing ecosystem services, and will be useful in detecting potential conflicts associated with new management and planning practices. (C) 2014 Elsevier B.V. All rights reserved.

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