Quantifying the Relationship between Land Use Intensity and Ecosystem Services’ Value in the Hanjiang River Basin: A Case Study of the Hubei Section

Hui Yang, Liang Zheng, Ying Wang (), Jiangfeng Li (), Bowen Zhang and Yuzhe Bi
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Hui Yang: School of Public Administration, China University of Geosciences, Wuhan 430074, China
Liang Zheng: Changjiang Institute of Survey, Planning, Design and Research, Wuhan 430014, China
Ying Wang: School of Public Administration, China University of Geosciences, Wuhan 430074, China
Jiangfeng Li: School of Public Administration, China University of Geosciences, Wuhan 430074, China
Bowen Zhang: School of Public Administration, China University of Geosciences, Wuhan 430074, China
Yuzhe Bi: School of Public Administration, China University of Geosciences, Wuhan 430074, China

IJERPH, 2022, vol. 19, issue 17, 1-22

Abstract: An increased land use intensity due to rapid urbanization and socio-economic development would alter the structure and function of regional ecosystems and cause prominent environmental problems. Revealing the impact of land use intensity on ecosystem services (ES) would provide guidance for more informed decision making to promote the sustainable development of human and natural systems. In this study, we selected the Hanjiang River Basin (HRB) in Hubei Province (China) as our study area, explored the correlation between land use intensity and ecosystem Services’ Value (ESV), and investigated impacts of natural and socio-economic factors on ESV variations based on the Geographical Detector Model (GDM) and Geographically Weighted Regression (GWR). The results show that (1) from 2000 to 2020, land use intensity in HRB generally showed an upward trend, with a high spatial agglomeration in the southeast and low in the northwest; (2) the total ESV increased from 295.56 billion CNY in 2000 to 296.93 billion CNY in 2010, and then decreased to 295.63 CNY in 2020, exhibiting an inverted U-shaped trend, with regulation services contributing the most to ESV; (3) land use intensity and ESV had a strong negative spatial correlation, with LH (low land use intensity vs. high ESV) aggregations mainly distributed in the northwest, whereas HL (high land use intensity vs. low ESV) aggregations were located in the southeast; (4) natural factors, including annual mean temperature, the percentage of forest land, and slope were positively associated with ESV, while socio-economic factors, including GDP and population density, were negatively associated with ESV. To achieve the coordinated development of the socio-economy and the environment, ES should be incorporated into spatial planning and socio-economic development policies.

Keywords: ecosystem services’ value (ESV); land use intensity; spatiotemporal characteristics; spatial correlations; driving factors; Hanjiang River Basin (HRB) (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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