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AI Predicts Habitats for Wide-Ranging Carnivores in Diverse Regions
Jim Crocker
16th May, 2024
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Image Source: Natural Science News, 2024
Key Findings
- The study from the University of Montana focused on predicting mountain lion habitat selection across North America
- Random forest models outperformed traditional logistic regression models in predicting mountain lion habitat use
- Random forest models revealed complex, nonlinear relationships in habitat selection that logistic regression models missed
References
Main Study
1) Machine learning allows for large-scale habitat prediction of a wide-ranging carnivore across diverse ecoregions
Published 15th May, 2024
https://doi.org/10.1007/s10980-024-01903-2
Related Studies
2) Linking habitat selection and predation risk to spatial variation in survival.
3) Application of random effects to the study of resource selection by animals.
Journal: The Journal of animal ecology, Issue: Vol 75, Issue 4, Jul 2006
4) A machine-learning approach for extending classical wildlife resource selection analyses.