Species distribution modeling for conservation science: new predictor layers, reproducible code, and an evaluation of California protected areas
Zachary G. MacDonald, Joscha Beninde, Kentaro Matsunaga, Bo Zhou, Thomas Welch Gillespie, Howard Bradley Shaffer
This study evaluates species distribution models using new predictor datasets and finds ClimateNA outperforms WorldClim for most species, with Random Forests and random background points providing best results.
bioRxiv · Jan 23, 2025 · PreprintEcology