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A plain language review and guidance for modeling animal habitat-selection

A plain language review and guidance for modeling animal habitat-selection

This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.

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Authors

Brian Daniel Gerber, Casey Setash, Jacob S Ivan, Joseph Northrup

Abstract

Animal habitat selection is the process of how individual organisms disproportionately use habitat compared to what is available to them. Understanding habitat selection is important for the study of ecology and conservation. However, learning the foundations of making inference or prediction on animal habitat selection can be quite challenging. Foremost, the literature is large and highly technical. We summarize important considerations in getting the basics right, pointing to key papers in the modern literature. We also demonstrate many of these considerations in an online vignette and associated code. We hope this work will help jumpstart student and practitioner learning about habitat selection modeling, provide guidance when reviewing analyses, and lead to rigorous ecological studies that help guide the management and conservation of animal populations.

DOI

https://doi.org/10.32942/X25W85

Subjects

Ecology and Evolutionary Biology, Life Sciences

Keywords

Habitat selection, logistic regression, random effect, resource selection function, statistical model, step selection function., logistic regression, random effect, resource selection function, statistical model, step selection function

Dates

Published: 2025-12-19 08:25

Last Updated: 2025-12-19 08:25

License

CC-By Attribution-NonCommercial-NoDerivatives 4.0 International

Additional Metadata

Language:
English

Data and Code Availability Statement:
https://github.com/bgerber123/Habitat-Selection-Guidance/