[1]GAO Minghui,LI Cheng,ZHAO Hu.Spatiotemporal Pattern of Supply-Demand of Ecosystem Services and Influencing Factors in Jiangsu Province[J].Research of Soil and Water Conservation,2023,30(05):315-324.[doi:10.13869/j.cnki.rswc.2023.05.026.]
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
30
Number of periods:
2023 05
Page number:
315-324
Column:
Public date:
2023-08-10
- Title:
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Spatiotemporal Pattern of Supply-Demand of Ecosystem Services and Influencing Factors in Jiangsu Province
- Author(s):
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GAO Minghui, LI Cheng, ZHAO Hu
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(School of Architecture and Design, China University of Mining and Technology, Xuzhou, Jiangsu 221000, China)
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- Keywords:
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ecosystem services supply and demand; spatial autocorrelation; geographic detector; geographically weighted regression; Jiangsu Province
- CLC:
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X196
- DOI:
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10.13869/j.cnki.rswc.2023.05.026.
- Abstract:
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[Objective] The aim of this study is to explore the change characteristics of supply and demand pattern of ecosystem services and its comprehensive influencing factors in Jiangsu Province, which can provide scientific basis and theoretical support for the formulation and sustainable management of ecological protection policies in this region. [Methods] Based on the land use data of the four periods from 2005 to 2020, the supply, demand and their matching ratio in Jiangsu Province was explored, and the key factors influencing the supply and demand of ecosystem services in Jiangsu Province were explored from the aspects of natural and socio-economic factors by using geographic probe. Furthermore, geographical regression model(GWR)was used to reveal the spatiotemporal differentiation of the relationship between supply and demand. [Results] That the matching ratio of ecosystem services supply-demand was higher in central Jiangsu Province and lower in northern and southern Jiangsu Province. The high-high clusters of the matching ratio of supply-demand distributed in central Jiangsu Province, and the number decreased over time. Low-low clusters were located in developed counties/districts in southern Jiangsu. The GWR analysis indicated that their effects on supply-demand relationship varied spatiotemporally. Population density, human impact index, urbanization rate and economic density had significant negative effect. While average annual temperature had both positive and negative effects on supply-demand relationship. [Conclusion] The spatial difference of ecosystem service supply and demand pattern in Jiangsu Province was significant, and the imbalance pressure of ecosystem service supply and demand increased gradually during the study period. The core influencing factors of ecosystem service supply and demand relationship in the study area were population density, human impact index, urbanization rate and economic density.