Multi-mode movement decisions across widely ranging behavioral processes
Movement of organisms plays a fundamental role in the evolution and diversity of life. Animals typically move at an irregular pace over time and space, alternating among movement states. Understanding movement decisions and developing mechanistic models of animal distribution dynamics can thus be co...
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Online Access: | http://dx.doi.org/10.1371/journal.pone.0272538 https://dx.plos.org/10.1371/journal.pone.0272538 |
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crplos:10.1371/journal.pone.0272538 2024-05-19T07:50:03+00:00 Multi-mode movement decisions across widely ranging behavioral processes Prima, Marie-Caroline Duchesne, Thierry Merkle, Jerod A. Chamaillé-Jammes, Simon Fortin, Daniel Weckerly, Floyd W. Fonds de recherche du Québec – Nature et technologies Fonds de recherche du Québec – Nature et technologies Natural Sciences and Engineering Research Council of Canada Natural Sciences and Engineering Research Council of Canada Agence Nationale de la Recherche Université Laval Industrial Research Chair in Boreal Forest Silviculture and Wildlife 2022 http://dx.doi.org/10.1371/journal.pone.0272538 https://dx.plos.org/10.1371/journal.pone.0272538 en eng Public Library of Science (PLoS) https://creativecommons.org/publicdomain/zero/1.0/ PLOS ONE volume 17, issue 8, page e0272538 ISSN 1932-6203 journal-article 2022 crplos https://doi.org/10.1371/journal.pone.0272538 2024-05-01T07:04:07Z Movement of organisms plays a fundamental role in the evolution and diversity of life. Animals typically move at an irregular pace over time and space, alternating among movement states. Understanding movement decisions and developing mechanistic models of animal distribution dynamics can thus be contingent to adequate discrimination of behavioral phases. Existing methods to disentangle movement states typically require a follow-up analysis to identify state-dependent drivers of animal movement, which overlooks statistical uncertainty that comes with the state delineation process. Here, we developed population-level, multi-state step selection functions (HMM-SSF) that can identify simultaneously the different behavioral bouts and the specific underlying behavior-habitat relationship. Using simulated data and relocation data from mule deer ( Odocoileus hemionus ), plains bison ( Bison bison bison ) and plains zebra ( Equus quagga ), we illustrated the HMM-SSF robustness, versatility, and predictive ability for animals involved in distinct behavioral processes: foraging, migrating and avoiding a nearby predator. Individuals displayed different habitat selection pattern during the encamped and the travelling phase. Some landscape attributes switched from being selected to avoided, depending on the movement phase. We further showed that HMM-SSF can detect multi-modes of movement triggered by predators, with prey switching to the travelling phase when predators are in close vicinity. HMM-SSFs thus can be used to gain a mechanistic understanding of how animals use their environment in relation to the complex interplay between their needs to move, their knowledge of the environment and navigation capacity, their motion capacity and the external factors related to landscape heterogeneity. Article in Journal/Newspaper Bison bison bison Plains Bison PLOS PLOS ONE 17 8 e0272538 |
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Movement of organisms plays a fundamental role in the evolution and diversity of life. Animals typically move at an irregular pace over time and space, alternating among movement states. Understanding movement decisions and developing mechanistic models of animal distribution dynamics can thus be contingent to adequate discrimination of behavioral phases. Existing methods to disentangle movement states typically require a follow-up analysis to identify state-dependent drivers of animal movement, which overlooks statistical uncertainty that comes with the state delineation process. Here, we developed population-level, multi-state step selection functions (HMM-SSF) that can identify simultaneously the different behavioral bouts and the specific underlying behavior-habitat relationship. Using simulated data and relocation data from mule deer ( Odocoileus hemionus ), plains bison ( Bison bison bison ) and plains zebra ( Equus quagga ), we illustrated the HMM-SSF robustness, versatility, and predictive ability for animals involved in distinct behavioral processes: foraging, migrating and avoiding a nearby predator. Individuals displayed different habitat selection pattern during the encamped and the travelling phase. Some landscape attributes switched from being selected to avoided, depending on the movement phase. We further showed that HMM-SSF can detect multi-modes of movement triggered by predators, with prey switching to the travelling phase when predators are in close vicinity. HMM-SSFs thus can be used to gain a mechanistic understanding of how animals use their environment in relation to the complex interplay between their needs to move, their knowledge of the environment and navigation capacity, their motion capacity and the external factors related to landscape heterogeneity. |
author2 |
Weckerly, Floyd W. Fonds de recherche du Québec – Nature et technologies Fonds de recherche du Québec – Nature et technologies Natural Sciences and Engineering Research Council of Canada Natural Sciences and Engineering Research Council of Canada Agence Nationale de la Recherche Université Laval Industrial Research Chair in Boreal Forest Silviculture and Wildlife |
format |
Article in Journal/Newspaper |
author |
Prima, Marie-Caroline Duchesne, Thierry Merkle, Jerod A. Chamaillé-Jammes, Simon Fortin, Daniel |
spellingShingle |
Prima, Marie-Caroline Duchesne, Thierry Merkle, Jerod A. Chamaillé-Jammes, Simon Fortin, Daniel Multi-mode movement decisions across widely ranging behavioral processes |
author_facet |
Prima, Marie-Caroline Duchesne, Thierry Merkle, Jerod A. Chamaillé-Jammes, Simon Fortin, Daniel |
author_sort |
Prima, Marie-Caroline |
title |
Multi-mode movement decisions across widely ranging behavioral processes |
title_short |
Multi-mode movement decisions across widely ranging behavioral processes |
title_full |
Multi-mode movement decisions across widely ranging behavioral processes |
title_fullStr |
Multi-mode movement decisions across widely ranging behavioral processes |
title_full_unstemmed |
Multi-mode movement decisions across widely ranging behavioral processes |
title_sort |
multi-mode movement decisions across widely ranging behavioral processes |
publisher |
Public Library of Science (PLoS) |
publishDate |
2022 |
url |
http://dx.doi.org/10.1371/journal.pone.0272538 https://dx.plos.org/10.1371/journal.pone.0272538 |
genre |
Bison bison bison Plains Bison |
genre_facet |
Bison bison bison Plains Bison |
op_source |
PLOS ONE volume 17, issue 8, page e0272538 ISSN 1932-6203 |
op_rights |
https://creativecommons.org/publicdomain/zero/1.0/ |
op_doi |
https://doi.org/10.1371/journal.pone.0272538 |
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PLOS ONE |
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17 |
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8 |
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e0272538 |
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