基于GEE的辽宁省生态环境质量时空格局及驱动力分析
Analysis of the Spatial-Temporal Pattern and Driving Forces of Ecological Environment Quality in Liaoning Province Based on GEE
摘要: 生态文明建设关乎中华民族永续发展，快速高效地开展生态质量监测与评价，有助于推进生态环境治理体系与能力现代化。辽宁省位于东北地区西南部，是我国生态保护修复的重点区域。本研究利用遥感生态指数(RSEI)评估了辽宁省2000~2023年生态环境质量的时空演变规律。结果表明：研究期内全省RSEI均值呈显著上升趋势，其空间异质性较为明显，形成“东西优，中部差”的空间格局。Sen-MK趋势与Hurst指数分析显示，东部山区未来将持续改善，而中部城市群部分区域退化风险较高。地理探测器驱动力分析表明，土地利用类型是主导空间分异的核心因子，自然与人文因子的交互作用均呈非线性增强效应，其中土地利用与降水的交互解释力最强。研究成果可为辽宁省统筹生态保护与高质量发展提供科学依据和决策支持。
Abstract: The construction of ecological civilization is related to the sustainable development of the Chinese nation. Rapid and efficient monitoring and evaluation of ecological quality can help promote the modernization of the ecological environment governance system and capacity. Liaoning Province is located in the southwest of Northeast China and is a key area for ecological protection and restoration in China. This study used the Remote Sensing Ecological Index (RSEI) to evaluate the spatiotemporal evolution of ecological environment quality in Liaoning Province from 2000 to 2023. The results showed that during the research period, the average RSEI of the whole province showed a significant upward trend, and its spatial heterogeneity was quite obvious, forming a spatial pattern of “East West excellence, Central difference”. The Sen MK trend and Hurst index analysis show that the eastern mountainous areas will continue to improve in the future, while some areas of the central urban agglomeration have a higher risk of degradation. The driving force analysis of geographic detectors shows that land use type is the core factor dominant in spatial differentiation, and the interaction between natural and human factors exhibits a nonlinear enhancement effect, with the interaction explanatory power between land use and precipitation being the strongest. The research results can provide scientific basis and decision-making support for the coordinated ecological protection and high-quality development in Liaoning Province.
文章引用：赵格格. 基于GEE的辽宁省生态环境质量时空格局及驱动力分析[J]. 环境保护前沿, 2025, 15(10): 1308-1322. https://doi.org/10.12677/aep.2025.1510146

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