Spatial-Temporal Patterns of Ecosystem Services Supply-Demand and Influencing Factors: A Case Study of Resource-Based Cities in the Yellow River Basin, China

被引:16
作者
Ming, Li [1 ,2 ]
Chang, Jiang [3 ,4 ]
Li, Cheng [3 ]
Chen, Yedong [1 ]
Li, Cankun [1 ]
机构
[1] China Univ Min & Technol, Sch Mech & Civil Engn, Xuzhou 221116, Peoples R China
[2] Jiangsu Vocat Inst Architectural Technol, Jiangsu Collaborat Innovat Ctr Bldg Energy Saving, Xuzhou 221116, Peoples R China
[3] China Univ Min & Technol, Sch Architecture & Design, Xuzhou 221116, Peoples R China
[4] China Univ Min & Technol, Res Ctr Transit Dev & Rural Revitalizat Resource B, Xuzhou 221116, Peoples R China
基金
中国国家自然科学基金;
关键词
ecosystem services; supply-demand relationship; driving factors; Yellow River Basin; resource-based cities; GEOGRAPHICALLY WEIGHTED REGRESSION; LOESS PLATEAU; BIODIVERSITY; DRIVERS;
D O I
10.3390/ijerph192316100
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The aim of this study was to reveal the spatiotemporal pattern of the supply and demand of ecosystem services (ESs), as well as the significant driving factors for understanding the impact of human activities on the natural ecosystem. To provide a scientific basis for formulating regional sustainable development strategies that enhance human well-being, resource-based cities in the Yellow River Basin (YRB) were selected as the case study. The supply and demand of ecosystem services in these cities from 2000 to 2020 were measured. The spatiotemporal evolution of the supply-demand relationship was illustrated by taking its coordination degree. In addition, geographical detector and geographically weighted regression (GWR) models were applied to quantify the spatiotemporally varying effects of natural and socioeconomic factors on the ES supply--demand relationship. The results showed that resource-based cities in the YRB were experiencing expansion in supply and demand overall, but the supply-demand relationship tended to be tense. The northwest YRB had higher coordination values of supply-demand, while lower values were found in the southeast YRB. Moreover, the relationship between supply and demand was significantly affected by natural and socioeconomic factors, such as elevation, slope, precipitation, land-use type, population density, and gross domestic product (GDP) per land. Furthermore, the GWR model suggested that the effects of driving factors on the supply-demand relationship had notable spatial heterogeneity. The coordination of ES supply-demand in the resource-based cities of southeast YRB was mainly influenced by socioeconomic factors, while that of the west YRB was mainly influenced by natural factors. Our study suggested that it is necessary to enhance the awareness of environmental protection, pay attention to ecological restoration, and avoid unreasonable human disturbance to the ecosystem.
引用
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页数:22
相关论文
共 49 条
[1]  
[Anonymous], 2005, Ecosystems and human well-being, V5
[2]   From theoretical to actual ecosystem services: mapping beneficiaries and spatial flows in ecosystem service assessments [J].
Bagstad, Kenneth J. ;
Villa, Ferdinando ;
Batker, David ;
Harrison-Cox, Jennifer ;
Voigt, Brian ;
Johnson, Gary W. .
ECOLOGY AND SOCIETY, 2014, 19 (02)
[3]   Ecosystem service trade-offs from supply to social demand: A landscape-scale spatial analysis [J].
Castro, Antonio J. ;
Verburg, Peter H. ;
Martin-Lopez, Berta ;
Garcia-Llorente, Marina ;
Cabello, Javier ;
Vaughn, Caryn C. ;
Lopez, Enrique .
LANDSCAPE AND URBAN PLANNING, 2014, 132 :102-110
[4]   The value of the world's ecosystem services and natural capital [J].
Costanza, R ;
dArge, R ;
deGroot, R ;
Farber, S ;
Grasso, M ;
Hannon, B ;
Limburg, K ;
Naeem, S ;
ONeill, RV ;
Paruelo, J ;
Raskin, RG ;
Sutton, P ;
vandenBelt, M .
NATURE, 1997, 387 (6630) :253-260
[5]   Challenges in integrating the concept of ecosystem services and values in landscape planning, management and decision making [J].
de Groot, R. S. ;
Alkemade, R. ;
Braat, L. ;
Hein, L. ;
Willemen, L. .
ECOLOGICAL COMPLEXITY, 2010, 7 (03) :260-272
[6]   Geographically weighted regression: a natural evolution of the expansion method for spatial data analysis [J].
Fotheringham, AS ;
Charlton, ME ;
Brunsdon, C .
ENVIRONMENT AND PLANNING A, 1998, 30 (11) :1905-1927
[7]   Hydrogeomorphic Ecosystem Responses to Natural and Anthropogenic Changes in the Loess Plateau of China [J].
Fu, Bojie ;
Wang, Shuai ;
Liu, Yu ;
Liu, Jianbo ;
Liang, Wei ;
Miao, Chiyuan .
ANNUAL REVIEW OF EARTH AND PLANETARY SCIENCES, VOL 45, 2017, 45 :223-243
[8]   From regional environmental planning to implementation: Paths and challenges of integrating ecosystem services [J].
Galler, Carolin ;
Albert, Christian ;
von Haaren, Christina .
ECOSYSTEM SERVICES, 2016, 18 :118-129
[9]   Ecosystem service values of gardens in the Yellow River Basin, China [J].
Ge Qianqian ;
Xu Wenjie ;
Fu Meichen ;
Han Yingxin ;
An Guoqiang ;
Xu Yuetong .
JOURNAL OF ARID LAND, 2022, 14 (03) :284-296
[10]   Urban Land Use Efficiency under Resource-Based Economic Transformation-A Case Study of Shanxi Province [J].
Ge, Xin Janet ;
Liu, Xiaoxia .
LAND, 2021, 10 (08)