Spatial-Temporal Dynamic Evaluation of Ecosystem Service Value and Its Driving Mechanisms in China
Xiaojian Wei,
Li Zhao,
Penggen Cheng,
Mingrui Xie and
Huimin Wang
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Xiaojian Wei: School of Geomatics, East China University of Technology, 418 Guanglan Road, Nanchang 330013, China
Li Zhao: School of Geomatics, East China University of Technology, 418 Guanglan Road, Nanchang 330013, China
Penggen Cheng: School of Geomatics, East China University of Technology, 418 Guanglan Road, Nanchang 330013, China
Mingrui Xie: School of Geomatics, East China University of Technology, 418 Guanglan Road, Nanchang 330013, China
Huimin Wang: College of Urban and Rural Construction, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
Land, 2022, vol. 11, issue 7, 1-20
Abstract:
Understanding the spatial differentiation and driving mechanisms of ecosystem service value (ESV) is helpful for the protection and sustainable development of the ecological environment. Despite the fact that various studies on ESV have been conducted in various regions, few studies have discussed the spatial differentiation characteristics of ESV in a long time series at a national scale, and even fewer studies have thoroughly examined the driving mechanism of the spatial differentiation of ESV from the perspective of different regions. On the basis of China’s land use data from 1990 to 2018, this paper used the methods of land use dynamics, the ESV evaluation model, hot spot analysis, the barycenter model, and the geographical detector model to study the temporal and spatial differentiation characteristics of land use and ESV in the study area. Moreover, it analyzes the driving mechanisms of the spatial differentiation of ESV at the national scale and in different regions of China. Our results showed the following: (1) Other land types have increased overall, with the exception of grassland. Obvious differences were observed in the single land use dynamics of each land type, especially the construction land, where farmland was the primary source of construction land. With the passage of time, the dynamic degree of comprehensive land use increased. (2) During the study period, ESV generally showed a decreasing trend, with distinct characteristics in high and low ESV areas. The center of gravity of ESV was constantly in Dingxi County and Pingliang City, Shaanxi Province, and its trajectory was generally “S”-shaped. (3) From the perspective of national scale and different regions, the dominant factors affecting the spatial differentiation of ESV were different, and the interaction among multiple factors was significantly stronger than that of a single factor. The findings of the study can provide more scientific decision-making services for China in order to promote regional environmental protection and develop ecological civilization.
Keywords: land use; the evaluation model of ecosystem service value; geographical detector model; spatial heterogeneity (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 (5)
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