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Analysis of Spatial Relationship Based on Ecosystem Services and Ecological Risk Index in the Counties of Chongqing

Zihui Li, Kangwen Zhu, Dan Song, Dongjie Guan, Jiameng Cao, Xiangyuan Su, Yanjun Zhang (), Ya Zhang, Yong Ba and Haoyu Wang
Additional contact information
Zihui Li: China Geological Survey Kunming General Survey of Natural Resources Center, Kunming 650100, China
Kangwen Zhu: School of Smart City, Chongqing Jiaotong University, Chongqing 400074, China
Dan Song: Chongqing Academy of Ecology and Environmental Sciences, Chongqing 401147, China
Dongjie Guan: School of Smart City, Chongqing Jiaotong University, Chongqing 400074, China
Jiameng Cao: School of Smart City, Chongqing Jiaotong University, Chongqing 400074, China
Xiangyuan Su: Chongqing Academy of Ecology and Environmental Sciences, Chongqing 401147, China
Yanjun Zhang: School of Business Management, Chongqing University of Technology, Chongqing 400050, China
Ya Zhang: China Geological Survey Kunming General Survey of Natural Resources Center, Kunming 650100, China
Yong Ba: China Geological Survey Kunming General Survey of Natural Resources Center, Kunming 650100, China
Haoyu Wang: China Geological Survey Kunming General Survey of Natural Resources Center, Kunming 650100, China

Land, 2023, vol. 12, issue 10, 1-19

Abstract: Due to the insufficient research on the spatial relationship and driving mechanism of ecosystem services and ecological risks and the current background of rising ecological risks and dysfunctional ecosystem services in local areas, analyzing the relationship and driving mechanism is an urgent task in order to safeguard regional ecological security and improve ecosystem services at present. Taking Chongqing as an example, the study scientifically identifies the spatial relationship between ecosystem services and ecological risks and their driving factors at district and county scales based on the constructed Ecosystem Service—Driver–Pressures–Status–Impacts–Responses (ES-DPSIR) model. The main findings include (1) significant variation in the spatial distribution of the comprehensive ecosystem service index, where the lowest ecosystem service index (0.013) was found in the main urban area of Chongqing and the scores gradually increased outward from this center, reaching 0.689 in the outermost areas; (2) an increase in the comprehensive ecological risk index from east to west, ranging from −0.134 to 0.333; (3) a prominent spatial relationship between ecosystem services and ecological risks, with 52.63% of the districts and counties being imbalanced or mildly imbalanced; and (4) significant differences between development trends of ecosystem services-–ecological risks, including 60.53% imbalanced and 30.47% mildly balanced districts. This study identified and analyzed the spatial change characteristics of ecosystem services and ecological risks based on the ES-DPSIR model, explored the driving factors, and provided new ideas for the relationship and driving research. The results of the study could provide effective ways and references for improving regional ecological security and enhancing the capacity of ecosystem services.

Keywords: ecosystem services; ES-DPSIR model; spatial relationships; driving factors (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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