Literature DB >> 25786026

REVIEW: Can habitat selection predict abundance?

Mark S Boyce1, Chris J Johnson2, Evelyn H Merrill1, Scott E Nielsen3, Erling J Solberg4, Bram van Moorter4.   

Abstract

Habitats have substantial influence on the distribution and abundance of animals. Animals' selective movement yields their habitat use. Animals generally are more abundant in habitats that are selected most strongly. Models of habitat selection can be used to distribute animals on the landscape or their distribution can be modelled based on data of habitat use, occupancy, intensity of use or counts of animals. When the population is at carrying capacity or in an ideal-free distribution, habitat selection and related metrics of habitat use can be used to estimate abundance. If the population is not at equilibrium, models have the flexibility to incorporate density into models of habitat selection; but abundance might be influenced by factors influencing fitness that are not directly related to habitat thereby compromising the use of habitat-based models for predicting population size. Scale and domain of the sampling frame, both in time and space, are crucial considerations limiting application of these models. Ultimately, identifying reliable models for predicting abundance from habitat data requires an understanding of the mechanisms underlying population regulation and limitation.
© 2015 The Authors. Journal of Animal Ecology published by John Wiley & Sons Ltd on behalf of British Ecological Society.

Keywords:  animal movement; occupancy; population estimation; population size; presence-only data; resource selection functions

Mesh:

Year:  2015        PMID: 25786026     DOI: 10.1111/1365-2656.12359

Source DB:  PubMed          Journal:  J Anim Ecol        ISSN: 0021-8790            Impact factor:   5.091


  15 in total

Review 1.  Confronting models with data: the challenges of estimating disease spillover.

Authors:  Paul C Cross; Diann J Prosser; Andrew M Ramey; Ephraim M Hanks; Kim M Pepin
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-08-12       Impact factor: 6.237

Review 2.  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

3.  Biotic and abiotic drivers of dispersion dynamics in a large-bodied tropical vertebrate, the Western Bornean orangutan.

Authors:  Andrew J Marshall; Matthew T Farr; Lydia Beaudrot; Elise F Zipkin; Katie L Feilen; Loren G Bell; Endro Setiawan; Tri Wahyu Susanto; Tatang Mitra Setia; Mark Leighton; Heiko U Wittmer
Journal:  Oecologia       Date:  2021-06-18       Impact factor: 3.225

4.  Anticipation of common buzzard population patterns in the changing UK landscape.

Authors:  Eduardo M Arraut; Sean W Walls; David W Macdonald; Robert E Kenward
Journal:  Proc Biol Sci       Date:  2021-06-09       Impact factor: 5.349

5.  Common Starlings (Sturnus vulgaris) increasingly select for grazed areas with increasing distance-to-nest.

Authors:  Henning Heldbjerg; Anthony D Fox; Peder V Thellesen; Lars Dalby; Peter Sunde
Journal:  PLoS One       Date:  2017-08-03       Impact factor: 3.240

6.  Relative Selection Strength: Quantifying effect size in habitat- and step-selection inference.

Authors:  Tal Avgar; Subhash R Lele; Jonah L Keim; Mark S Boyce
Journal:  Ecol Evol       Date:  2017-06-14       Impact factor: 2.912

7.  Dynamical facilitation of the ideal free distribution in nonideal populations.

Authors:  Garrett M Street; Igor V Erovenko; Jonathan T Rowell
Journal:  Ecol Evol       Date:  2018-01-31       Impact factor: 2.912

8.  Integrated Population Modeling Provides the First Empirical Estimates of Vital Rates and Abundance for Polar Bears in the Chukchi Sea.

Authors:  Eric V Regehr; Nathan J Hostetter; Ryan R Wilson; Karyn D Rode; Michelle St Martin; Sarah J Converse
Journal:  Sci Rep       Date:  2018-11-14       Impact factor: 4.379

9.  Resource partitioning between ungulate populations in arid environments.

Authors:  Robert S C Cooke; Tim Woodfine; Marie Petretto; Thomas H G Ezard
Journal:  Ecol Evol       Date:  2016-08-17       Impact factor: 2.912

10.  Wild boar mapping using population-density statistics: From polygons to high resolution raster maps.

Authors:  Claudia Pittiglio; Sergei Khomenko; Daniel Beltran-Alcrudo
Journal:  PLoS One       Date:  2018-05-16       Impact factor: 3.240

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