Resource selection functions based on hierarchical generalized additive models provide new insights into individual animal variation and species distributions

Jennifer McCabe, John Clare, Tricia Miller, Todd Katzner, Jeff Cooper, Scott Somershoe, David Hanni, Christine Kelly, Robert Sargent, Eric Soehren, Carrie Threadgill, Mercedes Maddox, Jonathan Stober, Mark Martell, Thomas Salo, Andrew Berry, Michael Lanzone, Melissa Braham & Christopher McClure
Habitat selection studies are designed to generate predictions of species distributions or inference regarding general habitat associations and individual variation in habitat use. Such studies frequently involve either individually indexed locations gathered across limited spatial extents and analyzed using resource selection functions (RSF), or spatially extensive locational data without individual resolution typically analyzed using species distribution models. Both analytical methodologies have certain desirable features, but analyses that combine individual- and population-level inference with flexible non-linear...
2 citations reported since publication in 2021.
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