Literature DB >> 20678139

Inference from habitat-selection analysis depends on foraging strategies.

Guillaume Bastille-Rousseau1, Daniel Fortin, Christian Dussault.   

Abstract

1. Several methods have been developed to assess habitat selection, most of which are based on a comparison between habitat attributes in used vs. unused or random locations, such as the popular resource selection functions (RSFs). Spatial evaluation of residency time has been recently proposed as a promising avenue for studying habitat selection. Residency-time analyses assume a positive relationship between residency time within habitat patches and selection. We demonstrate that RSF and residency-time analyses provide different information about the process of habitat selection. Further, we show how the consideration of switching rate between habitat patches (interpatch movements) together with residency-time analysis can reveal habitat-selection strategies. 2. Spatially explicit, individual-based modelling was used to simulate foragers displaying one of six foraging strategies in a heterogeneous environment. The strategies combined one of three patch-departure rules (fixed-quitting-harvest-rate, fixed-time and fixed-amount strategy), together with one of two interpatch-movement rules (random or biased). Habitat selection of simulated foragers was then assessed using RSF, residency-time and interpatch-movement analyses. 3. Our simulations showed that RSFs and residency times are not always equivalent. When foragers move in a non-random manner and do not increase residency time in richer patches, residency-time analysis can provide misleading assessments of habitat selection. This is because the overall time spent in the various patch types not only depends on residency times, but also on interpatch-movement decisions. 4. We suggest that RSFs provide the outcome of the entire selection process, whereas residency-time and interpatch-movement analyses can be used in combination to reveal the mechanisms behind the selection process. 5. We showed that there is a risk in using residency-time analysis alone to infer habitat selection. Residency-time analyses, however, may enlighten the mechanisms of habitat selection by revealing central components of resource-use strategies. Given that management decisions are often based on resource-selection analyses, the evaluation of resource-use strategies can be key information for the development of efficient habitat-management strategies. Combining RSF, residency-time and interpatch-movement analyses is a simple and efficient way to gain a more comprehensive understanding of habitat selection.
© 2010 The Authors. Journal compilation © 2010 British Ecological Society.

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Year:  2010        PMID: 20678139     DOI: 10.1111/j.1365-2656.2010.01737.x

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


  4 in total

1.  Predicting local and non-local effects of resources on animal space use using a mechanistic step selection model.

Authors:  Jonathan R Potts; Guillaume Bastille-Rousseau; Dennis L Murray; James A Schaefer; Mark A Lewis
Journal:  Methods Ecol Evol       Date:  2014-01-17       Impact factor: 7.781

2.  Can we predict foraging success in a marine predator from dive patterns only? Validation with prey capture attempt data.

Authors:  Morgane Viviant; Pascal Monestiez; Christophe Guinet
Journal:  PLoS One       Date:  2014-03-06       Impact factor: 3.240

3.  Balancing energy budget in a central-place forager: which habitat to select in a heterogeneous environment?

Authors:  Martin Patenaude-Monette; Marc Bélisle; Jean-François Giroux
Journal:  PLoS One       Date:  2014-07-16       Impact factor: 3.240

Review 4.  Behavioural valuation of landscapes using movement data.

Authors:  George Wittemyer; Joseph M Northrup; Guillaume Bastille-Rousseau
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-07-29       Impact factor: 6.237

  4 in total

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