Assessing the Effectiveness of Correlative Ecological Niche Model Temporal Projection through Floristic Data.

ABSTRACT: Correlative ecological niche modelling (ENM) is a method widely used to study the geographic distribution of species. In recent decades, it has become a leading approach for evaluating the most likely impacts of changing climate. When used to predict future distributions, ENM applications involve transferring models calibrated with modern environmental data to future conditions, usually derived from Global Climate Models (GCMs). The number of algorithms and software packages available to estimate distributions is quite high. To experimentally assess the effectiveness of correlative ENM temporal projection, we evaluated the transferability of models produced using 12 different algorithms on historical and modern data. In particular, we compared predictions generated using historical data an

SUBMITTER: Dolci D 

PROVIDER: S-EPMC9405103 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature