Coupled Assessment of Land Use Changes and Ecological Benefits Using Multi-Source Remote Sensing Data

作者：Jinyun Guo, Xiaojian Wei, Fuqing Zhang, Yu Ding · 发表于：Agriculture · 年份：2025 · DOI：10.3390/agriculture15131358 · 被引用次数：3 · 研究领域：Remote Sensing and Land Use、Remote Sensing in Agriculture、Land Use and Ecosystem Services

The Urban Agglomeration in the Middle Reaches of the Yangtze River (UAMRYR), serving as a pivotal hub for coordinated economic and ecological development in central China, is characterized by marked ecological fragility and climate sensitivity. Investigating the land use dynamics and ecological benefit changes within this region holds critical strategic significance for balancing regional development with the construction of ecological security barriers. This study systematically analyzed the spatiotemporal variations in land use/land cover (LULC) across the UAMRYR, using multi-source remote sensing data, climatic factors, land conditions, and anthropogenic influences. By integrating the four-quadrant model and the coupling degree model, we developed a remote sensing ecological index (RSEI)–ecological service index (ESI) coupling evaluation framework to assess the spatiotemporal evolution patterns of changes in ecological benefits in the region. Furthermore, we employed Geodetector analysis to identify the key influencing factors driving the RSEI–ESI coupling relationship and their interactive mechanisms. The research findings are as follows: (1) The ecological regional pattern has changed. The area of Quadrant I (RSEI > 0.5 and ESI > 0.5) decreased by 13,800 km2, whereas Quadrants II (RSEI < 0.5 and ESI > 0.5) and IV (RSEI > 0.5 and ESI < 0.5) increased by 14,900 km2 and 3500 km2, respectively. Quadrant III (RSEI < 0.5 and ESI < 0.5) remained relative...