Data from: Predicting local and non-local effects of resources on animal space use using a mechanistic step-selection model
1. 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 derive...
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ftdans:oai:easy.dans.knaw.nl:easy-dataset:84791 2023-07-02T03:31:57+02:00 Data from: 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. 2013-12-13T16:34:15.000+01:00 http://nbn-resolving.org/urn:nbn:nl:ui:13-al-gzmh https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:84791 unknown doi:10.5061/dryad.1d60p/1 doi:10.1111/2041-210X.12150 PMID:25834721 http://nbn-resolving.org/urn:nbn:nl:ui:13-al-gzmh doi:10.5061/dryad.1d60p https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:84791 OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf Life sciences medicine and health care 2013 ftdans https://doi.org/10.5061/dryad.1d60p/110.1111/2041-210X.1215010.5061/dryad.1d60p 2023-06-13T12:22:43Z 1. 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 utilisation 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. 2. 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. 3. 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. 4. Whilst we focus on habitats in this paper, 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. Other/Unknown Material caribou Newfoundland Rangifer tarandus Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen) |
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Open Polar |
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Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen) |
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ftdans |
language |
unknown |
topic |
Life sciences medicine and health care |
spellingShingle |
Life sciences medicine and health care Potts, Jonathan R. Bastille-Rousseau, Guillaume Murray, Dennis L. Schaefer, James A. Lewis, Mark A. Data from: Predicting local and non-local effects of resources on animal space use using a mechanistic step-selection model |
topic_facet |
Life sciences medicine and health care |
description |
1. 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 utilisation 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. 2. 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. 3. 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. 4. Whilst we focus on habitats in this paper, 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. |
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 |
Data from: Predicting local and non-local effects of resources on animal space use using a mechanistic step-selection model |
title_short |
Data from: Predicting local and non-local effects of resources on animal space use using a mechanistic step-selection model |
title_full |
Data from: Predicting local and non-local effects of resources on animal space use using a mechanistic step-selection model |
title_fullStr |
Data from: Predicting local and non-local effects of resources on animal space use using a mechanistic step-selection model |
title_full_unstemmed |
Data from: Predicting local and non-local effects of resources on animal space use using a mechanistic step-selection model |
title_sort |
data from: predicting local and non-local effects of resources on animal space use using a mechanistic step-selection model |
publishDate |
2013 |
url |
http://nbn-resolving.org/urn:nbn:nl:ui:13-al-gzmh https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:84791 |
genre |
caribou Newfoundland Rangifer tarandus |
genre_facet |
caribou Newfoundland Rangifer tarandus |
op_relation |
doi:10.5061/dryad.1d60p/1 doi:10.1111/2041-210X.12150 PMID:25834721 http://nbn-resolving.org/urn:nbn:nl:ui:13-al-gzmh doi:10.5061/dryad.1d60p https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:84791 |
op_rights |
OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf |
op_doi |
https://doi.org/10.5061/dryad.1d60p/110.1111/2041-210X.1215010.5061/dryad.1d60p |
_version_ |
1770271401980198912 |