Predictor complexity and feature selection affect Maxent model transferability: Evidence from global freshwater invasive species

By B. Low, Yiwen Zeng, H. Tan, D. Yeo. Diversity and Distributions: A journal of biological invasions and biodiversity, 2020

122 citations recorded by the source corpus.

Ecological niche models (ENMs) are widely used to address urgent real‐world problems such as climate change effects or invasive species; however, the generality of models when projected through space and/or time, that is transferability, remains a key challenge. Here, we explored the effects of complex predictors and feature selection on ENM transferability in a widely employed algorithm, Maxent, using five globally invasive freshwater species as case studies.

Subfields: Ecological Modeling, Genetics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/60411d627fcc828011beb89629cabbf9c6bcfd93