Improving range shift predictions: enhancing the power of traits
A. F. Cannistra, L. B. Buckley
The paper evaluates nonlinear machine learning models for predicting species range shifts and finds they outperform linear models, though model disagreements highlight limitations in trait-based predictions.
bioRxiv · Feb 15, 2021 · PreprintEcology