A retrospective approach for evaluating ecological niche modeling transferability over time: the case of Mexican endemic rodents.

ABSTRACT: Ecological niche modeling (ENM) is a valuable tool for inferring suitable environmental conditions and estimating species' geographic distributions. ENM is widely used to assess the potential effects of climate change on species distributions; however, the choice of modeling algorithm introduces substantial uncertainty, especially since future projections cannot be properly validated. In this study, we evaluated the performance of seven popular modeling algorithms-Bioclim, generalized additive models (GAM), generalized linear models (GLM), boosted regression trees (BRT), Maxent, random forest (RF), and support vector machine (SVM)-in transferring ENM across time, using Mexican endemic rodents as a model system. We used a retrospective approach, transferring models from the near past (1950-

SUBMITTER: Moreno-Arzate CN 

PROVIDER: S-EPMC11610470 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature