RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2024, Vol. 33 >> Issue (1): 114-125.doi: 10.11870/cjlyzyyhj202401010

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Coupling Coordination Development and Driving Factors of Ecosystem  Service Supply and Demand in Wuling Mountains Area

WANG Hao, WU Ji-lin, GONG Lei, ZHOU Yi-tong   

  1. (School of Civil Engineering and Architecture, Jishou University, Zhangjiajie 427000, China)
  • Online:2024-01-20 Published:2024-02-01

Abstract: This paper explored the spatio-temporal evolution law and the driving factors of ecosystem services’ coupling coordination of supply and demand in Wuling Mountains area, in order to promote the sustainable development of regional society, economy and ecological environment. In this study, quantitative analysis was conducted on the supply and demand of ecosystem services in the region from 2001 to 2019, based on the market value method, the coupling and coordination degree model, and the geographically weighted regression model. The effects of multiple factors on the coupling and coordination degree were also examined. The results showed that: (1) The ESV increased by 3 billion yuan during the study period, reaching 369.697 billion yuan in 2019. (2) The ecosystem services’ spatial distribution of coupling degree between supply and demand and coupling coordination degree in this region was relatively stable. The coupling degree was dominated by intermediate coupling degree, and the coupling coordination degree was mostly in the state of weak coordination degree. (3) NDVI, the ecological quality index, and the local fiscal general budget expenditure had a positive driving relationship with the supply-demand coupling of ecosystem services, while NPP, precipitation, and GDP had a negative driving relationship. The ecosystem services’ coupling coordination between supply and demand in Wuling Mountains area presented a spatial pattern of high in the north and low in the south, which was affected by environmental and social factors. The results can assist in making scientific decisions for regional management.


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