2604.01404 Species Distribution Models with Preferential Sampling Correction Increase Predicted Range Sizes by 23%: A Global Assessment for 500 Bird Species
This paper develops new statistical methodology for species distribution models with preferential sampling correction increase predicted range sizes by 23%: a global assessment for 500 bird species. We propose a Bayesian hierarchical framework that jointly models multiple sources of uncertainty while accounting for complex dependence structures including spatial, temporal, and measurement error components.