2023
DOI: 10.1016/j.jclepro.2022.135469
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Matching supply and demand for ecosystem services in the Yellow River Basin, China: A perspective of the water-energy-food nexus

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Cited by 52 publications
(19 citation statements)
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References 49 publications
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“…The spatial matching of food supply, carbon sequestration, and water production services is mainly distributed in the Hexi Oasis region because of the abundant agricultural resources, high human population density, and large demand for water and food in the oasis. When studying the matching relationship between supply and demand of ESs from the perspective of water-energy-grain in the Yellow River Basin, some scholars also proposed that the high-high spatial matching zone of ESs is mainly distributed in the downstream area with high population density, which is consistent with the results of this study [22]. The high-high spatial matching zone of windbreak and sand xation is scattered, mainly in-uenced by the variability of land cover.…”
Section: Assessment Of Matching Ess Supply and Demandsupporting
confidence: 86%
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“…The spatial matching of food supply, carbon sequestration, and water production services is mainly distributed in the Hexi Oasis region because of the abundant agricultural resources, high human population density, and large demand for water and food in the oasis. When studying the matching relationship between supply and demand of ESs from the perspective of water-energy-grain in the Yellow River Basin, some scholars also proposed that the high-high spatial matching zone of ESs is mainly distributed in the downstream area with high population density, which is consistent with the results of this study [22]. The high-high spatial matching zone of windbreak and sand xation is scattered, mainly in-uenced by the variability of land cover.…”
Section: Assessment Of Matching Ess Supply and Demandsupporting
confidence: 86%
“…This study used a four-quadrant model to explore the supply and demand patterns of each ESs. First, the supply and demand of ESs were standardized using the Z-score method [22]. Then, using the standardized supply as the X-axis and demand as the Y-axis, a two-dimensional coordinate system was constructed, and four matching modes were obtained and visualized, including high-high spatial matching, low-low spatial matching, low-high spatial misalignment and high-low spatial misalignment [45].…”
Section: Spatial Matching Analysismentioning
confidence: 99%
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“…Meanwhile, the WEF nexus idea offers a fresh angle from which to examine ESs (Hoff 2011;Costanza et al 2017), with relevant research focusing on the spatial identification of the matching of supply and demand as well as the sustainability of ESs based on the WEF nexus (Yin et al 2023;). However, current research has mostly concentrated on the ecosystem service function of WEF, and lack of research on its value, which is not conducive to integrate with socio-economic evaluation systems and economic management decisions.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Herein, the upper reaches are the sources of the Yellow River with rich water resources; the middle reaches produce nearly 69.7% of coal in China; the lower reaches are an essential food production base. Moreover, driven by energy and food security strategies, water demand in the YRB will increase significantly, and the contradictions of supply-demand among the three resources will be further revealed (Yin et al, 2021;2023;Zhao et al, 2021).…”
Section: Introductionmentioning
confidence: 99%