Department of Geography, School of Geography and Information Engineering, China University of Geosciences, Wuhan, 430078, China.
State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, 100875, China.
Environ Monit Assess. 2022 Mar 25;194(4):295. doi: 10.1007/s10661-022-09981-y.
The supply capacity of ecosystem services (ES) in the past decades has shown a significant decrease globally, while ES demand capacity has increased. Identifying the spatial mismatch of ES supply and demand (ES S&D) can provide valuable knowledge about where the gaps are. Existing studies, however, lack specifics about the spatial mismatch of ES S&D-that is, few studies consider the coupling and decoupling relationship of ES S&D at the national scale. This study tries to fill the gap by examining the spatiotemporal distribution of ES S&D capacity in China from 2000 through 2020 using the land use/land cover matrix method. The spatial mismatch between ES S&D was ultimately identified by using coupling and decoupling analysis models. A continuous increase was found in the ES demand capacity in China during the period studied, while a continuous decline was found in the ES supply capacity. The coupling degree of the ES S&D was relatively higher in the plains areas. The strong negative decoupling was the dominant relationship between ES S&D, which was widely distributed in eastern and southeastern China. The spatial mismatch of ES S&D in China has increased substantially from 2000 through 2020. The findings in this study provide important implications for ES management and effective allocation of resources.
在过去几十年中,生态系统服务(ES)的供给能力在全球范围内显著下降,而 ES 的需求能力却有所增加。确定 ES 供给和需求的空间不匹配(ES S&D)可以提供有关差距在哪里的有价值的知识。然而,现有研究缺乏关于 ES S&D 空间不匹配的具体信息,即很少有研究考虑 ES S&D 在国家尺度上的耦合和脱耦关系。本研究试图通过使用土地利用/土地覆盖矩阵方法,检查 2000 年至 2020 年期间中国 ES S&D 能力的时空分布,来填补这一空白。最终通过耦合和脱耦分析模型来确定 ES S&D 之间的空间不匹配。研究期间,中国的 ES 需求能力持续增加,而 ES 供给能力持续下降。平原地区 ES S&D 的耦合度相对较高。强负脱耦是 ES S&D 之间的主导关系,广泛分布在中国东部和东南部。中国 ES S&D 的空间不匹配在 2000 年至 2020 年期间大幅增加。本研究的结果为 ES 管理和资源的有效分配提供了重要启示。