Spatial Relationship between Land Use Patterns and Ecosystem Services Value—Case Study of Nanjing
Ming Lu,
Yan Zhang,
Fan Liang and
Yuanxiang Wu
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Ming Lu: School of Architecture, Harbin Institute of Technology, Harbin 150006, China
Yan Zhang: School of Architecture, Harbin Institute of Technology, Harbin 150006, China
Fan Liang: School of Architecture, Harbin Institute of Technology, Harbin 150006, China
Yuanxiang Wu: School of Architecture, Harbin Institute of Technology, Harbin 150006, China
Land, 2022, vol. 11, issue 8, 1-19
Abstract:
The degree of land use reflects the progress of social and economic development; however, it also has a direct impact on land resources. Maximizing the ecosystem services of land resources in a limited space is a key issue in China’s rapid urbanization. Therefore, this study aims to analyze the spatial relationship between land use patterns and ecosystem services to enhance the benefits of urban ecology. First, we used the landscape pattern index to represent land use patterns and the equivalence factor method to quantify the ecosystem services value (ESV); second, spatial autocorrelation and spatial autoregression were used to explore the spatial relationship between the landscape pattern index and ESV. Our main conclusions were that (1) the landscape pattern index and ESV both showed obvious spatial aggregation, but that of ESV was more significant; (2) the largest patch index and contagion index had a greater degree of influence on ESV than other variables, with the largest patch index having a positive effect and the contagion index having a negative effect; (3) it was necessary to cultivate the landscape dominance of land patches in ecological spatial regulation and to form large-scale ecological agglomeration in key ecological source areas and nodes. The research results can ensure that land resources exert a higher level of ecological value by adjusting the spatial form of the landscape patch.
Keywords: land use pattern; ecosystem services value; spatial autocorrelation; spatial autoregression; Nanjing (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (3)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:11:y:2022:i:8:p:1168-:d:873248
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