Literature DB >> 30653797

Functional responses in habitat selection: clarifying hypotheses and interpretations.

Joseph D Holbrook1,2, Lucretia E Olson2, Nicholas J DeCesare3, Mark Hebblewhite4, John R Squires2, Robin Steenweg5.   

Abstract

A fundamental challenge in habitat ecology and management is understanding the mechanisms generating animal distributions. Studies of habitat selection provide a lens into such mechanisms, but are often limited by unrealistic assumptions. For example, most studies assume that habitat selection is constant with respect to the availability of resources, such that habitat use remains proportional to availability. To the contrary, a growing body of work has shown the fallacy of this assumption, indicating that animals modify their behavior depending on the context at broader scales. This has been termed a functional response in habitat selection. Furthermore, a diversity of methods is employed to model functional responses in habitat selection, with little attention to how methodology might affect scientific and conservation conclusions. Here, we first review the conceptual and statistical foundations of methods currently used to model functional responses and clarify the ecological tests evaluated within each approach. We then use a combination of simulated and empirical data sets to evaluate the similarities and differences among approaches. Importantly, we identified multiple statistical issues with the most widely applied approaches to understand functional responses, including: (1) a complex and important role of random- or individual-level intercepts in adjusting individual-level regression coefficients as resource availability changes and (2) a sensitivity of results to poorly informed individual-level coefficients estimated for animals with low availability of a given resource. Consequently, we provide guidance on applying approaches that are insensitive to these issues with the goal of advancing our understanding of animal habitat ecology and management. Finally, we characterize the management implications of assuming similarity between the current approaches to model functional responses with two empirical data sets of federally threatened species: Canada lynx (Lynx canadensis) in the United States and woodland caribou (Rangifer tarandus caribou) in Canada. Collectively, our assessment helps clarify the similarities and differences among current approaches and, therefore, assists the integration of functional responses into the mainstream of habitat ecology and management.
© 2019 by the Ecological Society of America.

Entities:  

Keywords:  zzm321990Lynx canadensiszzm321990; zzm321990Rangifer tarandus caribouzzm321990; functional response; generalized linear mixed models; habitat availability; habitat selection; habitat use; resource selection function

Mesh:

Year:  2019        PMID: 30653797     DOI: 10.1002/eap.1852

Source DB:  PubMed          Journal:  Ecol Appl        ISSN: 1051-0761            Impact factor:   4.657


  6 in total

Review 1.  Conceptual and methodological advances in habitat-selection modeling: guidelines for ecology and evolution.

Authors:  Joseph M Northrup; Eric Vander Wal; Maegwin Bonar; John Fieberg; Michel P Laforge; Martin Leclerc; Christina M Prokopenko; Brian D Gerber
Journal:  Ecol Appl       Date:  2021-11-28       Impact factor: 6.105

2.  Increasing fire frequency and severity will increase habitat loss for a boreal forest indicator species.

Authors:  Eric C Palm; Michael J Suitor; Kyle Joly; Jim D Herriges; Allicia P Kelly; Dave Hervieux; Kelsey L M Russell; Torsten W Bentzen; Nicholas C Larter; Mark Hebblewhite
Journal:  Ecol Appl       Date:  2022-03-03       Impact factor: 6.105

3.  Temporal scale of habitat selection for large carnivores: Balancing energetics, risk and finding prey.

Authors:  Anna C Nisi; Justin P Suraci; Nathan Ranc; Laurence G Frank; Alayne Oriol-Cotterill; Steven Ekwanga; Terrie M Williams; Christopher C Wilmers
Journal:  J Anim Ecol       Date:  2021-10-29       Impact factor: 5.606

4.  Evaluating expert-based habitat suitability information of terrestrial mammals with GPS-tracking data.

Authors:  Maarten J E Broekman; Jelle P Hilbers; Mark A J Huijbregts; Thomas Mueller; Abdullahi H Ali; Henrik Andrén; Jeanne Altmann; Malin Aronsson; Nina Attias; Hattie L A Bartlam-Brooks; Floris M van Beest; Jerrold L Belant; Dean E Beyer; Laura Bidner; Niels Blaum; Randall B Boone; Mark S Boyce; Michael B Brown; Francesca Cagnacci; Rok Černe; Simon Chamaillé-Jammes; Nandintsetseg Dejid; Jasja Dekker; Arnaud L J Desbiez; Samuel L Díaz-Muñoz; Julian Fennessy; Claudia Fichtel; Christina Fischer; Jason T Fisher; Ilya Fischhoff; Adam T Ford; John M Fryxell; Benedikt Gehr; Jacob R Goheen; Morgan Hauptfleisch; A J Mark Hewison; Robert Hering; Marco Heurich; Lynne A Isbell; René Janssen; Florian Jeltsch; Petra Kaczensky; Peter M Kappeler; Miha Krofel; Scott LaPoint; A David M Latham; John D C Linnell; A Catherine Markham; Jenny Mattisson; Emilia Patricia Medici; Guilherme de Miranda Mourão; Bram Van Moorter; Ronaldo G Morato; Nicolas Morellet; Atle Mysterud; Stephen Mwiu; John Odden; Kirk A Olson; Aivars Ornicāns; Nives Pagon; Manuela Panzacchi; Jens Persson; Tyler Petroelje; Christer Moe Rolandsen; David Roshier; Daniel I Rubenstein; Sonia Saïd; Albert R Salemgareyev; Hall Sawyer; Niels Martin Schmidt; Nuria Selva; Agnieszka Sergiel; Jared Stabach; Jenna Stacy-Dawes; Frances E C Stewart; Jonas Stiegler; Olav Strand; Siva Sundaresan; Nathan J Svoboda; Wiebke Ullmann; Ulrich Voigt; Jake Wall; Martin Wikelski; Christopher C Wilmers; Filip Zięba; Tomasz Zwijacz-Kozica; Aafke M Schipper; Marlee A Tucker
Journal:  Glob Ecol Biogeogr       Date:  2022-05-09       Impact factor: 6.909

5.  Habitat selection by wolves and mountain lions during summer in western Montana.

Authors:  Collin J Peterson; Michael S Mitchell; Nicholas J DeCesare; Chad J Bishop; Sarah S Sells
Journal:  PLoS One       Date:  2021-07-22       Impact factor: 3.240

6.  Habitat selection patterns are density dependent under the ideal free distribution.

Authors:  Tal Avgar; Gustavo S Betini; John M Fryxell
Journal:  J Anim Ecol       Date:  2020-10-12       Impact factor: 5.606

  6 in total

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