Explainable AI reveals the quantitative hierarchical architecture of global bird extinction risk
Pablo Medrano‐Vizcaíno, Atriya Sen, Anthony Marchiafava
This study uses explainable AI to identify quantitative thresholds for bird extinction risk, revealing hierarchical patterns shaped by range size, morphology, and human impacts.
bioRxiv · May 21, 2026 · PreprintEcology