Identifying conservation priority zones and their driving factors regarding regional ecosystem services

Hongyi Li, Renbin He, Jie Hu, Yue Zhou, Modian Xie, Wanming Deng, Junjie Wang, Wanru Zhao, Shuangshuang Zhang, Yefeng Jiang, Zongzheng Liang, Lan Luo, Bifeng Hu () and Zhou Shi
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Hongyi Li: Jiangxi University of Finance and Economics
Renbin He: Jiangxi University of Finance and Economics
Jie Hu: University of Wisconsin
Yue Zhou: Georges Lemaître Centre for Earth and Climate Research, University Catholique de Louvain
Modian Xie: Jiangxi University of Finance and Economics
Wanming Deng: Jiangxi University of Finance and Economics
Junjie Wang: Jiangxi University of Finance and Economics
Wanru Zhao: Jiangxi University of Finance and Economics
Shuangshuang Zhang: Jiangxi University of Finance and Economics
Yefeng Jiang: Zhejiang University
Zongzheng Liang: Academy of Regional and Global Governance, Beijing Foreign Studies University
Lan Luo: Yueyang Vocational Technical College
Bifeng Hu: Jiangxi University of Finance and Economics
Zhou Shi: Zhejiang University

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2024, vol. 26, issue 8, No 74, 20963-20985

Abstract: Abstract Conservation priority zones (CPZs) are the most valuable critical areas for maintaining functions of ecosystem. Identifying CPZs and their driving factors of ecosystem services (ESs) is an essential foundation for preventing environmental degradation. The main aims of this study were to determine the CPZs according to the multi-year averaged ESs and investigating the driving factors of ESs in CPZs. We first assess the spatiotemporal variation of typical ESs using biophysical models and linear regression. Then, CPZs are identified by utilizing the ordered weighted averaging combined with conservation efficiency index. Finally, geo-detector is employed to reveal the dual-factor interaction on ESs in CPZs. Results show that net primary productivity and habitat quality have significant temporal variations. Given protecting multiple ESs, scenario 2 is the optimal scenario for CPZ with average protection efficiency of 1.78. Slope and precipitation interactively affect soil conservation. The dual drivers of habitat quality and water yield are both related to land cover, whereas net primary productivity has no dual drivers. Our study provides critical theoretical and practical support for the optimization and management of protected areas to improve ecosystem conservation.

Keywords: Ecosystem services; Conservation priorities; Conservation efficiency; Driving factors; Interaction; Ordered weighted averaging; Geo-detector (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10668-023-03514-4

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