2020
DOI: 10.3390/su12083428
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Identifying Dynamic Changes in Ecosystem Services Supply and Demand for Urban Sustainability: Insights from a Rapidly Urbanizing City in Central China

Abstract: Identifying the balance and dynamic changes in supply and demand of ecosystem services (ES) can help maintain the sustainability of the regional ecosystem and improve human well-being. To achieve a sustainable ecological management regime in Zhengzhou City, this study presented a comprehensive framework for identifying dynamic changes of ES supply and demand and managing ES. Using land use data of Zhengzhou City in 1995, 2005, and 2015 and incorporating expert knowledge and the ES evaluation matrix, we evaluat… Show more

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Cited by 22 publications
(16 citation statements)
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“…These equivalent coefficients have been revised according to the actual situation in China and are more suited to China’s national conditions than those indicators proposed by Costanza et al [ 41 ]. The equivalent factor method can also rapidly obtain and calculate data, has strong applicability, and can facilitate the comparison of results [ 64 ]. Therefore, this approach was adapted in this paper based on the actual situation in Anyang.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…These equivalent coefficients have been revised according to the actual situation in China and are more suited to China’s national conditions than those indicators proposed by Costanza et al [ 41 ]. The equivalent factor method can also rapidly obtain and calculate data, has strong applicability, and can facilitate the comparison of results [ 64 ]. Therefore, this approach was adapted in this paper based on the actual situation in Anyang.…”
Section: Discussionmentioning
confidence: 99%
“…The former tests and determines the overall spatial distribution pattern and the degree of correlation and significance of elements in the research area, whereas the latter reflects the agglomeration and differentiation characteristics of local spatial units and their neighboring units to further measure local spatial instability. The bivariate spatial autocorrelation analysis was further improved based on these two levels and can be used to measure the degree of spatial correlation between the attributes of two variables [ 64 ]. The bivariate global and local autocorrelation models can be formulated as: where I is the global bivariate spatial autocorrelation index, n is the number of grid cells, W ij is the spatial weight, and are the m and z attribute values of the i and j grid cells, respectively, y m and y z are the average values of attributes m and n , respectively, I ij is the local bivariate spatial autocorrelation index, and σ m and σ z are the variances of attributes m and z , respectively.…”
Section: Methodsmentioning
confidence: 99%
“…The risks of ecosystem services to human beings, the degree of risks, and the available trends need to be determined to provide a strong basis for ecosystem service risk management and related policy formulation. Some conceptual models, such as the EPPS (ecosystem properties, potentials, services, and benefits) framework [69], the delivery chain of ecosystem services [17], and the comprehensive assessment framework for the ecosystem service supply and demand [20,70,71], are created to view the supplier and demand sides of integrated ecosystem services. These conceptual models provide a theoretical and practical basis for the research on the supply-demand risks of ecosystem services.…”
Section: Framework Of Supply-demand Risks Evaluation System Of Ecosys...mentioning
confidence: 99%
“…Central Asia, demand, ecosystem services, flows, supply, telecoupling units to ecological integrity and ES supply and demand. This framework combined remotely sensed data, land surveys, land cover data and socio-economic data to reveal scale mismatches between supply and demand and depict the spatial and temporal characteristics of ES supply-demand budgets to provide information for ecosystem management and decision-making (Hein et al, 2006;Ji et al, 2020).…”
Section: Introductionmentioning
confidence: 99%