Predicting local and non-local effects of resources on animal space use using a mechanistic step selection model
Predicting space use patterns of animals from their interactions with the environment is fundamental for understanding the effect of habitat changes on ecosystem functioning. Recent attempts to address this problem have sought to unify resource selection analysis, where animal space use is derived f...
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ftpubmed:oai:pubmedcentral.nih.gov:4375923 2023-05-15T15:53:31+02:00 Predicting local and non-local effects of resources on animal space use using a mechanistic step selection model Potts, Jonathan R Bastille-Rousseau, Guillaume Murray, Dennis L Schaefer, James A Lewis, Mark A 2014-03 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4375923 http://www.ncbi.nlm.nih.gov/pubmed/25834721 https://doi.org/10.1111/2041-210X.12150 en eng BlackWell Publishing Ltd http://www.ncbi.nlm.nih.gov/pmc/articles/PMC http://www.ncbi.nlm.nih.gov/pubmed/25834721 http://dx.doi.org/10.1111/2041-210X.12150 © 2013 The Authors. Methods in Ecology and Evolution published by John Wiley & Sons Ltd on behalf of British Ecological Society http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. CC-BY-NC-ND Habitat Monitoring Text 2014 ftpubmed https://doi.org/10.1111/2041-210X.12150 2015-04-05T00:12:26Z Predicting space use patterns of animals from their interactions with the environment is fundamental for understanding the effect of habitat changes on ecosystem functioning. Recent attempts to address this problem have sought to unify resource selection analysis, where animal space use is derived from available habitat quality, and mechanistic movement models, where detailed movement processes of an animal are used to predict its emergent utilization distribution. Such models bias the animal's movement towards patches that are easily available and resource-rich, and the result is a predicted probability density at a given position being a function of the habitat quality at that position. However, in reality, the probability that an animal will use a patch of the terrain tends to be a function of the resource quality in both that patch and the surrounding habitat.We propose a mechanistic model where this non-local effect of resources naturally emerges from the local movement processes, by taking into account the relative utility of both the habitat where the animal currently resides and that of where it is moving. We give statistical techniques to parametrize the model from location data and demonstrate application of these techniques to GPS location data of caribou (Rangifer tarandus) in Newfoundland.Steady-state animal probability distributions arising from the model have complex patterns that cannot be expressed simply as a function of the local quality of the habitat. In particular, large areas of good habitat are used more intensively than smaller patches of equal quality habitat, whereas isolated patches are used less frequently. Both of these are real aspects of animal space use missing from previous mechanistic resource selection models.Whilst we focus on habitats in this study, our modelling framework can be readily used with any environmental covariates and therefore represents a unification of mechanistic modelling and step selection approaches to understanding animal space use. Text caribou Rangifer tarandus PubMed Central (PMC) Methods in Ecology and Evolution 5 3 253 262 |
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Habitat Monitoring |
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Habitat Monitoring Potts, Jonathan R Bastille-Rousseau, Guillaume Murray, Dennis L Schaefer, James A Lewis, Mark A Predicting local and non-local effects of resources on animal space use using a mechanistic step selection model |
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Habitat Monitoring |
description |
Predicting space use patterns of animals from their interactions with the environment is fundamental for understanding the effect of habitat changes on ecosystem functioning. Recent attempts to address this problem have sought to unify resource selection analysis, where animal space use is derived from available habitat quality, and mechanistic movement models, where detailed movement processes of an animal are used to predict its emergent utilization distribution. Such models bias the animal's movement towards patches that are easily available and resource-rich, and the result is a predicted probability density at a given position being a function of the habitat quality at that position. However, in reality, the probability that an animal will use a patch of the terrain tends to be a function of the resource quality in both that patch and the surrounding habitat.We propose a mechanistic model where this non-local effect of resources naturally emerges from the local movement processes, by taking into account the relative utility of both the habitat where the animal currently resides and that of where it is moving. We give statistical techniques to parametrize the model from location data and demonstrate application of these techniques to GPS location data of caribou (Rangifer tarandus) in Newfoundland.Steady-state animal probability distributions arising from the model have complex patterns that cannot be expressed simply as a function of the local quality of the habitat. In particular, large areas of good habitat are used more intensively than smaller patches of equal quality habitat, whereas isolated patches are used less frequently. Both of these are real aspects of animal space use missing from previous mechanistic resource selection models.Whilst we focus on habitats in this study, our modelling framework can be readily used with any environmental covariates and therefore represents a unification of mechanistic modelling and step selection approaches to understanding animal space use. |
format |
Text |
author |
Potts, Jonathan R Bastille-Rousseau, Guillaume Murray, Dennis L Schaefer, James A Lewis, Mark A |
author_facet |
Potts, Jonathan R Bastille-Rousseau, Guillaume Murray, Dennis L Schaefer, James A Lewis, Mark A |
author_sort |
Potts, Jonathan R |
title |
Predicting local and non-local effects of resources on animal space use using a mechanistic step selection model |
title_short |
Predicting local and non-local effects of resources on animal space use using a mechanistic step selection model |
title_full |
Predicting local and non-local effects of resources on animal space use using a mechanistic step selection model |
title_fullStr |
Predicting local and non-local effects of resources on animal space use using a mechanistic step selection model |
title_full_unstemmed |
Predicting local and non-local effects of resources on animal space use using a mechanistic step selection model |
title_sort |
predicting local and non-local effects of resources on animal space use using a mechanistic step selection model |
publisher |
BlackWell Publishing Ltd |
publishDate |
2014 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4375923 http://www.ncbi.nlm.nih.gov/pubmed/25834721 https://doi.org/10.1111/2041-210X.12150 |
genre |
caribou Rangifer tarandus |
genre_facet |
caribou Rangifer tarandus |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC http://www.ncbi.nlm.nih.gov/pubmed/25834721 http://dx.doi.org/10.1111/2041-210X.12150 |
op_rights |
© 2013 The Authors. Methods in Ecology and Evolution published by John Wiley & Sons Ltd on behalf of British Ecological Society http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
op_rightsnorm |
CC-BY-NC-ND |
op_doi |
https://doi.org/10.1111/2041-210X.12150 |
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Methods in Ecology and Evolution |
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5 |
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3 |
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253 |
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262 |
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