GCCM-Based Causal Screening and Interpretable Machine Learning for Abrupt Vegetation Changes in Complex Mountainous Regions
Terrestrial vegetation productivity is vital for carbon sequestration and food provision. In Yunnan Province, complex terrain and diverse climates cause abrupt and nonlinear vegetation changes that linear trend analyses fail to capture, while existing attribution methods rarely distinguish causal drivers from spurious...