Spatial Divergence Analysis of Ecosystem Service Value in Hilly Mountainous Areas: A Case Study of Ruijin City

The southern hilly mountains are rich in natural resources and are one of the important ecological security barrier zones in China. However, the disturbance of the ecosystem caused by human activities has led to a differentiated character of spatial ecosystem services. Such spatially differentiated...

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Main Authors: Hualin Xie, Zhenhong Zhu, Zhe Li
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Land
Subjects:
Online Access:https://www.mdpi.com/2073-445X/11/6/768
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author Hualin Xie
Zhenhong Zhu
Zhe Li
author_facet Hualin Xie
Zhenhong Zhu
Zhe Li
author_sort Hualin Xie
collection DOAJ
description The southern hilly mountains are rich in natural resources and are one of the important ecological security barrier zones in China. However, the disturbance of the ecosystem caused by human activities has led to a differentiated character of spatial ecosystem services. Such spatially differentiated characteristics have not been well studied, and thus are bound to limit our ability to manage ecosystems sustainably. Taking Ruijin City, a typical hilly mountainous area in southern China, as an example, this paper evaluates the ecosystem service values (ESV) of Ruijin City from 2000 to 2020 by using equivalent factor method combined with GIS technology. On this basis, spatial autocorrelation analysis is used to identify unique heterogeneous units of ESV. The results show that the overall ESV of Ruijin City from 2000 to 2020 showed a trend of slow increase in the first decade and a significant decrease in the second decade. The ESV in Ruijin City has a high degree of spatial divergence, showing the distribution characteristics of low value in the central region and high value in the marginal region. With the acceleration of urbanization, the ESV in the central region of Ruijin City decreases significantly from 2010 to 2020. Therefore, for the high value areas of ecosystem services, attention should be paid to the balanced development of economy and ecology. For low-value areas, it is necessary to strengthen the control of the ecological environment, protect sensitive areas with serious loss of ecosystem services, change the development model, and improve the supply capacity of ecological products. The government should calculate green Gross Domestic Product (GDP) based on the evaluation results of ESV, and formulate a green GDP evaluation system in the performance evaluation.
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spelling doaj.art-bfc1ad63a84544cc990d1dd69b7bf7ad2023-11-23T17:30:18ZengMDPI AGLand2073-445X2022-05-0111676810.3390/land11060768Spatial Divergence Analysis of Ecosystem Service Value in Hilly Mountainous Areas: A Case Study of Ruijin CityHualin Xie0Zhenhong Zhu1Zhe Li2Institute of Ecological Civilization, Jiangxi University of Finance and Economics, Nanchang 330013, ChinaInstitute of Ecological Civilization, Jiangxi University of Finance and Economics, Nanchang 330013, ChinaInstitute of Ecological Civilization, Jiangxi University of Finance and Economics, Nanchang 330013, ChinaThe southern hilly mountains are rich in natural resources and are one of the important ecological security barrier zones in China. However, the disturbance of the ecosystem caused by human activities has led to a differentiated character of spatial ecosystem services. Such spatially differentiated characteristics have not been well studied, and thus are bound to limit our ability to manage ecosystems sustainably. Taking Ruijin City, a typical hilly mountainous area in southern China, as an example, this paper evaluates the ecosystem service values (ESV) of Ruijin City from 2000 to 2020 by using equivalent factor method combined with GIS technology. On this basis, spatial autocorrelation analysis is used to identify unique heterogeneous units of ESV. The results show that the overall ESV of Ruijin City from 2000 to 2020 showed a trend of slow increase in the first decade and a significant decrease in the second decade. The ESV in Ruijin City has a high degree of spatial divergence, showing the distribution characteristics of low value in the central region and high value in the marginal region. With the acceleration of urbanization, the ESV in the central region of Ruijin City decreases significantly from 2010 to 2020. Therefore, for the high value areas of ecosystem services, attention should be paid to the balanced development of economy and ecology. For low-value areas, it is necessary to strengthen the control of the ecological environment, protect sensitive areas with serious loss of ecosystem services, change the development model, and improve the supply capacity of ecological products. The government should calculate green Gross Domestic Product (GDP) based on the evaluation results of ESV, and formulate a green GDP evaluation system in the performance evaluation.https://www.mdpi.com/2073-445X/11/6/768ecosystem service valuesland usespatial divergenceequivalent factor methodGISspatial autocorrelation analysis
spellingShingle Hualin Xie
Zhenhong Zhu
Zhe Li
Spatial Divergence Analysis of Ecosystem Service Value in Hilly Mountainous Areas: A Case Study of Ruijin City
Land
ecosystem service values
land use
spatial divergence
equivalent factor method
GIS
spatial autocorrelation analysis
title Spatial Divergence Analysis of Ecosystem Service Value in Hilly Mountainous Areas: A Case Study of Ruijin City
title_full Spatial Divergence Analysis of Ecosystem Service Value in Hilly Mountainous Areas: A Case Study of Ruijin City
title_fullStr Spatial Divergence Analysis of Ecosystem Service Value in Hilly Mountainous Areas: A Case Study of Ruijin City
title_full_unstemmed Spatial Divergence Analysis of Ecosystem Service Value in Hilly Mountainous Areas: A Case Study of Ruijin City
title_short Spatial Divergence Analysis of Ecosystem Service Value in Hilly Mountainous Areas: A Case Study of Ruijin City
title_sort spatial divergence analysis of ecosystem service value in hilly mountainous areas a case study of ruijin city
topic ecosystem service values
land use
spatial divergence
equivalent factor method
GIS
spatial autocorrelation analysis
url https://www.mdpi.com/2073-445X/11/6/768
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AT zheli spatialdivergenceanalysisofecosystemservicevalueinhillymountainousareasacasestudyofruijincity