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Evaluation and Driving Analysis of Eco-Environmental Quality in Guangdong Province Based on an Improved Water Benefit-Based Ecological Index
Evaluation and Driving Analysis of Eco-Environmental Quality in Guangdong Province Based on an Improved Water Benefit-Based Ecological Index
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Evaluation and Driving Analysis of Eco-Environmental Quality in Guangdong Province Based on an Improved Water Benefit-Based Ecological Index
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Evaluation and Driving Analysis of Eco-Environmental Quality in Guangdong Province Based on an Improved Water Benefit-Based Ecological Index
Evaluation and Driving Analysis of Eco-Environmental Quality in Guangdong Province Based on an Improved Water Benefit-Based Ecological Index

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Evaluation and Driving Analysis of Eco-Environmental Quality in Guangdong Province Based on an Improved Water Benefit-Based Ecological Index
Evaluation and Driving Analysis of Eco-Environmental Quality in Guangdong Province Based on an Improved Water Benefit-Based Ecological Index
Journal Article

Evaluation and Driving Analysis of Eco-Environmental Quality in Guangdong Province Based on an Improved Water Benefit-Based Ecological Index

2026
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Overview
As Guangdong is a pivotal province in China’s national forest city initiative, examining the spatiotemporal evolution and key drivers of eco-environmental quality (EEQ) in Guangdong is essential for advancing regional sustainable development. To address the complexity of EEQ assessments in areas that are characterized by dense hydrological networks, extensive vegetation cover, and rapid urban expansion, the Google Earth Engine platform was utilized in this study, and remote sensing indices with heightened sensitivity to vegetation and moisture dynamics—namely, the kernel normalized difference vegetation index and the kernel normalized difference moisture index—were introduced to develop an improved water benefit-based ecological index (ImWBEI). Through an integrated analytical framework incorporating Theil–Sen trend analysis, Mann–Kendall significance testing, Hurst exponent analysis, an optimal parameter-based geographical detector, and a coupled coordination degree model, this research systematically evaluated the spatiotemporal patterns, future trends, driving mechanisms, and coordination with urbanization of the EEQ in Guangdong from 2000 to 2021. The results demonstrated that the ImWBEI enhanced the detailed characterization of complex underlying surfaces, such as urban built-up areas and land–water transition zones. Throughout the study period, the EEQ in Guangdong displayed a stable spatial distribution characterized by higher values in the north and lower values in the south. Concurrently, the EEQ significantly improved at a rate of 0.0092 per year. Hurst index analysis indicated that this trajectory would likely persist, with the future trend dominated by a pattern of weak persistent improvement. The comprehensive urbanization index was identified as the most critical factor influencing the spatial differentiation of the EEQ in Guangdong. Although notable north–south disparities were observed in the coordination between the EEQ and comprehensive urbanization, the provincial-level coupled coordination consistently improved. Consequently, this work yielded actionable insights and a replicable framework for ecological monitoring and coordinated development in similar water–forest integrated urban regions. It was particularly relevant for informing ecological restoration prioritization and development restriction decisions in critical land–water transition zones—areas where the ImWBEI demonstrated enhanced sensitivity.