Importance of movement constraints in habitat selection studies.
Ecological niche Movement paths Trajectories Ursus arctos Habitat selection a b s t r a c t The aim of this study is to empirically illustrate the importance of taking movement constraints into account when testing for habitat selection with telemetry data. Global Positioning System relocations of t...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.1055.1819 2023-05-15T18:42:10+02:00 Importance of movement constraints in habitat selection studies. Jodie Martin Clément Calenge Pierre-Yves Quenette Dominique Allainé The Pennsylvania State University CiteSeerX Archives 2008 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1055.1819 http://bearproject.info/wp-content/uploads/2014/07/2008-Martin-et-al-Ecol-Model.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1055.1819 http://bearproject.info/wp-content/uploads/2014/07/2008-Martin-et-al-Ecol-Model.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://bearproject.info/wp-content/uploads/2014/07/2008-Martin-et-al-Ecol-Model.pdf text 2008 ftciteseerx 2020-04-12T00:20:58Z Ecological niche Movement paths Trajectories Ursus arctos Habitat selection a b s t r a c t The aim of this study is to empirically illustrate the importance of taking movement constraints into account when testing for habitat selection with telemetry data. Global Positioning System relocations of two Scandinavian brown bears were used to compare the results of two different tests of habitat selection by the bears within their home range. Both relied on the comparison of observed dataset with datasets simulated under the hypothesis of random habitat use. The first analysis did not take movement constraints into account (simulations were carried out by randomly distributing a set of points in the home range) whereas the second analysis accounted for these constraints (simulations were carried out by building random trajectories in the home range). The results for the two analyses showed contrasted results. Therefore, not accounting for movement constraints in analyses may result in a misleading biological interpretation. Autocorrelation between relocations is not undesirable: it contains information about ecological processes that should be integrated in habitat selection analyses. © 2007 Elsevier B.V. All rights reserved. Introduction During the last decade, the Global Positioning System (GPS) has been used increasingly by biologists to study the habitat selection by animals. The study of habitat selection with this kind of data implies a comparison between the habitat used by this animal and a null model describing the habitat that would have been used under the hypothesis that no habitat selection occurs (random habitat use Text Ursus arctos Unknown |
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English |
description |
Ecological niche Movement paths Trajectories Ursus arctos Habitat selection a b s t r a c t The aim of this study is to empirically illustrate the importance of taking movement constraints into account when testing for habitat selection with telemetry data. Global Positioning System relocations of two Scandinavian brown bears were used to compare the results of two different tests of habitat selection by the bears within their home range. Both relied on the comparison of observed dataset with datasets simulated under the hypothesis of random habitat use. The first analysis did not take movement constraints into account (simulations were carried out by randomly distributing a set of points in the home range) whereas the second analysis accounted for these constraints (simulations were carried out by building random trajectories in the home range). The results for the two analyses showed contrasted results. Therefore, not accounting for movement constraints in analyses may result in a misleading biological interpretation. Autocorrelation between relocations is not undesirable: it contains information about ecological processes that should be integrated in habitat selection analyses. © 2007 Elsevier B.V. All rights reserved. Introduction During the last decade, the Global Positioning System (GPS) has been used increasingly by biologists to study the habitat selection by animals. The study of habitat selection with this kind of data implies a comparison between the habitat used by this animal and a null model describing the habitat that would have been used under the hypothesis that no habitat selection occurs (random habitat use |
author2 |
The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Jodie Martin Clément Calenge Pierre-Yves Quenette Dominique Allainé |
spellingShingle |
Jodie Martin Clément Calenge Pierre-Yves Quenette Dominique Allainé Importance of movement constraints in habitat selection studies. |
author_facet |
Jodie Martin Clément Calenge Pierre-Yves Quenette Dominique Allainé |
author_sort |
Jodie Martin |
title |
Importance of movement constraints in habitat selection studies. |
title_short |
Importance of movement constraints in habitat selection studies. |
title_full |
Importance of movement constraints in habitat selection studies. |
title_fullStr |
Importance of movement constraints in habitat selection studies. |
title_full_unstemmed |
Importance of movement constraints in habitat selection studies. |
title_sort |
importance of movement constraints in habitat selection studies. |
publishDate |
2008 |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1055.1819 http://bearproject.info/wp-content/uploads/2014/07/2008-Martin-et-al-Ecol-Model.pdf |
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Ursus arctos |
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Ursus arctos |
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http://bearproject.info/wp-content/uploads/2014/07/2008-Martin-et-al-Ecol-Model.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1055.1819 http://bearproject.info/wp-content/uploads/2014/07/2008-Martin-et-al-Ecol-Model.pdf |
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Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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