2022
DOI: 10.1007/s10661-022-09981-y
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Spatial mismatch of ecosystem service demands and supplies in China, 2000–2020

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Cited by 20 publications
(15 citation statements)
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“…The coupling degree of the PLES index (C) characterizes the degree of mutual promotion, mutual influence, and mutual coercion among PLES. In this study, a physical coupling model was introduced to construct a dynamic coupling degree model and coupling coordination degree model among PSI, LSI, and ESI, respectively, to quantitatively measure the coupling process and evolution trend of PLES at the county scale in China [ 2 , 11 , 12 , 43 ]. The calculation equation is as follows: …”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The coupling degree of the PLES index (C) characterizes the degree of mutual promotion, mutual influence, and mutual coercion among PLES. In this study, a physical coupling model was introduced to construct a dynamic coupling degree model and coupling coordination degree model among PSI, LSI, and ESI, respectively, to quantitatively measure the coupling process and evolution trend of PLES at the county scale in China [ 2 , 11 , 12 , 43 ]. The calculation equation is as follows: …”
Section: Methodsmentioning
confidence: 99%
“…In this study, PLES contributes equally to the coordinated development of the whole ( α = β = γ = 1/3). Based on the calculation results, the coupling coordination degree of PLES was divided into five categories: seriously unbalanced (0–0.20), moderately unbalanced (0.21–0.40), basically balanced (0.41–0.60), moderately balanced (0.61–0.80), and highly balanced (0.81–1) [ 43 ]. Seriously unbalanced indicates that the excessive development of production function has led to the serious extrusion of living and ecological space, resulting in a series of ecological problems.…”
Section: Methodsmentioning
confidence: 99%
“…Second, they focus on the unilateral spatiotemporal succession of supply and demand; however, there are relatively few studies on the spatiotemporal evolution of both the supply and demand sides and the balance pattern of supply and demand [ 67 , 68 ]. Third, the research focuses on economically developed regions, including “Beijing–Tianjin–Hebei” urban Agglomeration and Yangtze River Delta urban agglomeration and pays less attention to the ecosystem services from the perspective of “supply–demand-balance” pattern in the research area [ 69 , 70 , 71 ].…”
Section: Introductionmentioning
confidence: 99%
“…There has been a wealth of research on ESs [ 5 , 12 , 19 , 20 ]. Existing studies have reported extensively on ESs assessments, influencing factors, trade-offs and synergies, the S&D balance, and scenario predictions [ 13 , 21 , 22 , 23 , 24 , 25 ]. Revealing the formation mechanism, expression form, and basic characteristics of ESs S&D can provide scientific guidance for reducing the trade-offs between the S&D of ESs [ 13 , 26 , 27 , 28 ].…”
Section: Introductionmentioning
confidence: 99%
“…Chen et al (2020) evaluated the ESs balance index (ESBI) based on a revised ESs matrix method [ 33 ]. Based on different definitions and requirements, different models have been used to measure the S&D index of ESs [ 21 , 28 , 33 ]. The ESs matrix method proposed by Burkhard et al (2012) provided a new perspective for ESs S&D [ 34 ].…”
Section: Introductionmentioning
confidence: 99%