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Open access Sep 2026

Unraveling multi-scale drivers of Chl-a dynamics via interpretable machine learning: a case study of Shahu Lake

Aquatic eutrophication exhibits pronounced temporal variability, yet conventional global interpretation frameworks often fail to capture short-term ecological responses and obscure environmental drivers that dominate only during specific ecological periods. To address this limitation, this study developed a multi-scale...

Yong Li, Yu-Sheng Huang, Ling-Jing Lin et al. · 0 citations

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