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Journal of Geographical Sciences    2016, Vol. 26 Issue (7) : 953-968     DOI: 10.1007/s11442-016-1309-9
Orginal Article |
A review on trade-off analysis of ecosystem services for sustainable land-use management
DENG Xiangzheng1,2(),LI Zhihui1,2,3,John GIBSON4
1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
2. Center for Chinese Agricultural Policy, CAS, Beijing 100101, China
3. University of Chinese Academy of Sciences, Beijing 100049, China
4. Department of Economics, The University of Waikato, Hamilton, New Zealand
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Ecosystem services are substantial elements for human society. The central challenge to meet the human needs from ecosystems while sustain the Earth’s life support systems makes it urgent to enhance efficient natural resource management for sustainable ecological and socioeconomic development. Trade-off analysis of ecosystem services can help to identify optimal decision points to balance the costs and benefits of the diverse human uses of ecosystems. In this sense, the aim of this paper is to provide key insights into ecosystem services trade-off analysis at different scales from a land use perspective, by comprehensively reviewing the trade-offs analysis tools and approaches that addressed in ecology, economics and other fields. The review will significantly contribute to future research on trade-off analysis to avoid inferior management options and offer a win-win solution based on comprehensive and efficient planning for interacting multiple ecosystem services.

Keywords ecosystem services      trade-offs      land-use management      scale      integrated modeling      multi-criteria analysis      efficiency frontier     
Fund:China National Natural Science Funds for Distinguished Young Scholar, No.71225005;The Key Project in the National Science & Technology Pillar Program of China, No.2013BACO3B00
Issue Date: 29 July 2016
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DENG Xiangzheng,LI Zhihui,John GIBSON. A review on trade-off analysis of ecosystem services for sustainable land-use management[J]. Journal of Geographical Sciences, 2016, 26(7): 953-968.
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