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...