长江流域资源与环境 >> 2024, Vol. 33 >> Issue (1): 114-125.doi: 10.11870/cjlyzyyhj202401010

• 自然资源 • 上一篇    下一篇

武陵山片区生态系统服务供需耦合协调评价及其驱动因素分析

王浩,吴吉林*,龚磊,周懿桐   

  1. (吉首大学土木工程与建筑学院,湖南 张家界 427000)
  • 出版日期:2024-01-20 发布日期:2024-02-01

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

摘要:  探索武陵山片区生态系统服务供需耦合协调的时空演变规律及其驱动因素,助力于区域社会、经济与生态环境的可持续发展。采用了市场价值法、耦合协调度模型和地理加权回归模型等方法,对片区2001~2019年生态系统服务供给与需求进行定量分析,并研究多个因素对其耦合协调度的影响。结果表明:(1)研究期间片区生态系统服务价值增加了30亿元,2019年达到了 3 696.97 亿元。(2)片区生态系统服务供需耦合度和耦合协调度空间分布较为稳定,耦合度以中级耦合状态为主,耦合协调度以勉强协调状态为主。(3)NDVI、生态环境质量指数和地方财政一般预算支出对片区生态系统服务供需耦合协调度呈现正向驱动关系,NPP、降水量和GDP为负向驱动关系。武陵山片区生态系统服务供需耦合协调关系呈现北高南低的空间格局,且受环境和社会的多重因素影响,研究结果可为区域管理的科学决策提供参考。

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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