ArticleiScience2026
Ecological quality carbon storage coupling via an enhanced water retention integrated remote sensing index.
Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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3 authors.
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Abstract
This study proposes an enhanced remote sensing ecological index (ERSEI) incorporating water-retention dynamics to quantify spatiotemporal variations in ecological quality and carbon storage in Yichang city (2003-2023). Utilizing principal-component analysis (PCA) and GeoDetector, we evaluated ERSEI trajectories and underlying mechanisms. Results reveal that mean ERSEI increased by approximately 12.5%, exhibiting pronounced spatial heterogeneity (higher in western mountainous zones, lower in eastern plains). Driver analysis demonstrated a temporal shift from topography- and vegetation-dominated controls to intensified socioeconomic and climatic influences (notably gross domestic product [GDP] and temperature) post-2013, characterized by nonlinear synergistic interactions. Furthermore, bivariate spatial autocorrelation confirmed a significant coupling between ERSEI and InVEST-estimated carbon storage; regions with improving ecological quality achieved a net carbon increment of approximately 2.11 t hm
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