ArticleEcology and evolution2019
Collinearity in ecological niche modeling: Confusions and challenges.
Article in Ecology and evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers.
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102 citing papers in PubMed.
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- Multi-scale modeling of habitat suitability and human-induced risk for the critically endangered white-rumped vulture (Gyps bengalensis) in South and Southeast Asia.Die Naturwissenschaften · 2026Article
- Climate change induced complex shifts in snake distributions expose people to snakebite and threaten biodiversity.PLoS neglected tropical diseases · 2026Article
- Potential Geographic Distribution of the Rare and Endangered PlantEcology and evolution · 2026Article
- Impacts of Anthropogenic Activities and Climate Change on the Distribution Ranges of FiveBiology · 2026Article
- Climate change-driven range contraction in the aquatic Fern Marsilea minuta L. (Marsileaceae): implications for wetland plant conservation.Scientific reports · 2026Article
- Ecological Niche Modeling of the Narrow-Range Endangered EndemicPlants (Basel, Switzerland) · 2026Article
- A comprehensive reference genome assembly dataset of birds inhabiting Denmark, Greenland, and the Faroe Islands.GigaScience · 2026Article
- Predicting the potential suitable habitats of Rosa roxburghii and its key pest Grapholita molesta in China using the MaxEnt Model.PloS one · 2026Article
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- Leaf-Fruit Trait Decoupling Along Environmental Gradients in Tropical Cryptocaryeae (Lauraceae).Plants (Basel, Switzerland) · 2026Article
- Climate change will greatly alter multifaceted biodiversity patterns in goatfish species.npj biodiversity · 2025Article
- Predicting Suitable Habitat forEcology and evolution · 2025Article
- Flyway-Scale Assessment of Habitat Suitability and Key Environmental Drivers for Waterbirds in Southern China.Ecology and evolution · 2025Article
- Pliocene Forest Fragmentation Shaped Speciation in Tropical Asia's Giant Squirrels (Ratufa).Molecular ecology · 2025Article
42 more citing papers are in PubMed but not listed here.
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5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ecological niche models are widely used in ecology and biogeography. Maxent is one of the most frequently used niche modeling tools, and many studies have aimed to optimize its performance. However, scholars have conflicting views on the treatment of predictor collinearity in Maxent modeling. Despite this lack of consensus, quantitative examinations of the effects of collinearity on Maxent modeling, especially in model transfer scenarios, are lacking. To address this knowledge gap, here we quantify the effects of collinearity under different scenarios of Maxent model training and projection. We separately examine the effects of predictor collinearity, collinearity shifts between training and testing data, and environmental novelty on model performance. We demonstrate that excluding highly correlated predictor variables does not significantly influence model performance. However, we find that collinearity shift and environmental novelty have significant negative effects on the performance of model transfer. We thus conclude that (a) Maxent is robust to predictor collinearity in model training; (b) the strategy of excluding highly correlated variables has little impact because Maxent accounts for redundant variables; and (c) collinearity shift and environmental novelty can negatively affect Maxent model transferability. We therefore recommend to quantify and report collinearity shift and environmental novelty to better infer model accuracy when models are spatially and/or temporally transferred.
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