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

被引:18
作者
Wang, Hanchen [1 ,2 ]
Wang, Lina [3 ]
Fu, Xiao [1 ]
Yang, Qianhui [5 ]
Wu, Gang [1 ,2 ]
Guo, Mingjie [1 ,2 ]
Zhang, Shiqi [1 ,2 ]
Wu, Di [4 ]
Zhu, Yu [3 ]
Deng, Hongbing [1 ,2 ]
机构
[1] Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] China IPPR Int Engn Co Ltd, Beijing 100089, Peoples R China
[4] Chinese Acad Sci, Inst Architecture Design & Res, Beijing 100086, Peoples R China
[5] Meteorol Bur Bayannur, Bayannur 015000, Inner Mongolia, Peoples R China
关键词
Ecosystem services; Supply -demand ratio; Coupling coordination; Mixed effects model; SOCIAL DEMAND; RESTORATION; MISMATCHES; VALUATION; GRAIN; AREA;
D O I
10.1016/j.ecolind.2022.109406
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Accurately quantifying the spatiotemporal patterns in ecosystem service (ES)1 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)2 and demand (ESDI),3 the match degree of total supply and demand (MD),4 and the coupling coordination degree (CD)5 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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页数:14
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