Spatial-temporal pattern of ecosystem service supply-demand and coordination in the Ulansuhai Basin, China

Accurately quantifying the spatiotemporal patterns in ecosystem service (ES)11 ES-Ecosystem service. supply and demand and their coupling coordination dynamics, as well as identifying the spatial heterogeneity of the influencing factors for coupling coordination degree are necessary for regional sus...

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Main Authors: Hanchen Wang, Lina Wang, Xiao Fu, Qianhui Yang, Gang Wu, Mingjie Guo, Shiqi Zhang, Di Wu, Yu Zhu, Hongbing Deng
Format: Article
Language:English
Published: Elsevier 2022-10-01
Series:Ecological Indicators
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1470160X22008792
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author Hanchen Wang
Lina Wang
Xiao Fu
Qianhui Yang
Gang Wu
Mingjie Guo
Shiqi Zhang
Di Wu
Yu Zhu
Hongbing Deng
author_facet Hanchen Wang
Lina Wang
Xiao Fu
Qianhui Yang
Gang Wu
Mingjie Guo
Shiqi Zhang
Di Wu
Yu Zhu
Hongbing Deng
author_sort Hanchen Wang
collection DOAJ
description Accurately quantifying the spatiotemporal patterns in ecosystem service (ES)11 ES-Ecosystem service. supply and demand and their coupling coordination dynamics, as well as identifying the spatial heterogeneity of the influencing factors for coupling coordination degree are necessary for regional sustainable development. This study used the Ulansuhai Basin in Inner Mongolia Province of China as a case to quantify the supply, demand, and supply-demand ratio of ES (meat production, grain production, carbon storage, water yield, nitrogen purification, and phosphorus purification) from 2000 to 2020. The synthesized coefficient of ES supply (ESCI)22 ESCI-Synthesized coefficient of ES supply. and demand (ESDI),33 ESDI-Synthesized coefficient of ES demand. the match degree of total supply and demand (MD),44 MD-Match degree of total ES supply and demand. and the coupling coordination degree (CD)55 CD-Coupling coordination degree between total ES supply and demand. were taken as indices to explore the relationship between the ESCI and ESDI and the coordination relationships. A mixed effects model was used to determine the spatial heterogeneity response of CD to different influencing factors. The results showed that the total ES supply in the Ulansuhai Basin always met the demand. The area with the highest ESCI was always observed in the Urad Front Banner, while Linhe district had the highest ESDI. Although incoordination improved from mild to superior from 2000 to 2020 at the basin scale, significant spatial variations were observed at the county scale. In addition, the variation in CD was significantly correlated with population, followed by precipitation, and cropland area. The findings comprehensively explore the match and coordination between ES supply and demand, and the spatial heterogeneity of the effects of the influencing factors on CD. Our study can contribute to the formulation of future policies for regional ecological restoration and sustainable development.
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spelling doaj.art-94f72883ed9e4c17b912a32da72b256a2022-12-22T01:52:16ZengElsevierEcological Indicators1470-160X2022-10-01143109406Spatial-temporal pattern of ecosystem service supply-demand and coordination in the Ulansuhai Basin, ChinaHanchen Wang0Lina Wang1Xiao Fu2Qianhui Yang3Gang Wu4Mingjie Guo5Shiqi Zhang6Di Wu7Yu Zhu8Hongbing Deng9State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, ChinaChina IPPR International Engineering Co., Ltd., Beijing 100089, ChinaState Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; Corresponding author.Meteorological Bureau of Bayannur, Inner Mongolia 015000, ChinaState Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, ChinaState Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, ChinaState Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, ChinaInstitute of Architecture Design and Research, Chinese Academy of Sciences, Beijing 100086, ChinaChina IPPR International Engineering Co., Ltd., Beijing 100089, ChinaState Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, ChinaAccurately quantifying the spatiotemporal patterns in ecosystem service (ES)11 ES-Ecosystem service. supply and demand and their coupling coordination dynamics, as well as identifying the spatial heterogeneity of the influencing factors for coupling coordination degree are necessary for regional sustainable development. This study used the Ulansuhai Basin in Inner Mongolia Province of China as a case to quantify the supply, demand, and supply-demand ratio of ES (meat production, grain production, carbon storage, water yield, nitrogen purification, and phosphorus purification) from 2000 to 2020. The synthesized coefficient of ES supply (ESCI)22 ESCI-Synthesized coefficient of ES supply. and demand (ESDI),33 ESDI-Synthesized coefficient of ES demand. the match degree of total supply and demand (MD),44 MD-Match degree of total ES supply and demand. and the coupling coordination degree (CD)55 CD-Coupling coordination degree between total ES supply and demand. were taken as indices to explore the relationship between the ESCI and ESDI and the coordination relationships. A mixed effects model was used to determine the spatial heterogeneity response of CD to different influencing factors. The results showed that the total ES supply in the Ulansuhai Basin always met the demand. The area with the highest ESCI was always observed in the Urad Front Banner, while Linhe district had the highest ESDI. Although incoordination improved from mild to superior from 2000 to 2020 at the basin scale, significant spatial variations were observed at the county scale. In addition, the variation in CD was significantly correlated with population, followed by precipitation, and cropland area. The findings comprehensively explore the match and coordination between ES supply and demand, and the spatial heterogeneity of the effects of the influencing factors on CD. Our study can contribute to the formulation of future policies for regional ecological restoration and sustainable development.http://www.sciencedirect.com/science/article/pii/S1470160X22008792Ecosystem servicesSupply-demand ratioCoupling coordinationMixed effects model
spellingShingle Hanchen Wang
Lina Wang
Xiao Fu
Qianhui Yang
Gang Wu
Mingjie Guo
Shiqi Zhang
Di Wu
Yu Zhu
Hongbing Deng
Spatial-temporal pattern of ecosystem service supply-demand and coordination in the Ulansuhai Basin, China
Ecological Indicators
Ecosystem services
Supply-demand ratio
Coupling coordination
Mixed effects model
title Spatial-temporal pattern of ecosystem service supply-demand and coordination in the Ulansuhai Basin, China
title_full Spatial-temporal pattern of ecosystem service supply-demand and coordination in the Ulansuhai Basin, China
title_fullStr Spatial-temporal pattern of ecosystem service supply-demand and coordination in the Ulansuhai Basin, China
title_full_unstemmed Spatial-temporal pattern of ecosystem service supply-demand and coordination in the Ulansuhai Basin, China
title_short Spatial-temporal pattern of ecosystem service supply-demand and coordination in the Ulansuhai Basin, China
title_sort spatial temporal pattern of ecosystem service supply demand and coordination in the ulansuhai basin china
topic Ecosystem services
Supply-demand ratio
Coupling coordination
Mixed effects model
url http://www.sciencedirect.com/science/article/pii/S1470160X22008792
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