Economical defence of resources structures territorial space use in a cooperative carnivore
Ecologists have long sought to understand space use and mechanisms underlying patterns observed in nature. We developed an optimality landscape and mechanistic territory model to understand mechanisms driving space use and compared model predictions to empirical reality. We demonstrate our approach...
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ftpubmed:oai:pubmedcentral.nih.gov:8753142 2023-05-15T15:50:26+02:00 Economical defence of resources structures territorial space use in a cooperative carnivore Sells, Sarah N. Mitchell, Michael S. Ausband, David E. Luis, Angela D. Emlen, Douglas J. Podruzny, Kevin M. Gude, Justin A. 2022-01-12 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8753142/ http://www.ncbi.nlm.nih.gov/pubmed/35016539 https://doi.org/10.1098/rspb.2021.2512 en eng The Royal Society http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8753142/ http://www.ncbi.nlm.nih.gov/pubmed/35016539 http://dx.doi.org/10.1098/rspb.2021.2512 © 2022 The Author(s) https://royalsociety.org/-/media/journals/author/Licence-to-Publish-20062019-final.pdfhttps://royalsociety.org/journals/ethics-policies/data-sharing-mining/Published by the Royal Society. All rights reserved. Proc Biol Sci Behaviour Text 2022 ftpubmed https://doi.org/10.1098/rspb.2021.2512 2023-01-15T01:30:02Z Ecologists have long sought to understand space use and mechanisms underlying patterns observed in nature. We developed an optimality landscape and mechanistic territory model to understand mechanisms driving space use and compared model predictions to empirical reality. We demonstrate our approach using grey wolves (Canis lupus). In the model, simulated animals selected territories to economically acquire resources by selecting patches with greatest value, accounting for benefits, costs and trade-offs of defending and using space on the optimality landscape. Our approach successfully predicted and explained first- and second-order space use of wolves, including the population's distribution, territories of individual packs, and influences of prey density, competitor density, human-caused mortality risk and seasonality. It accomplished this using simple behavioural rules and limited data to inform the optimality landscape. Results contribute evidence that economical territory selection is a mechanistic bridge between space use and animal distribution on the landscape. This approach and resulting gains in knowledge enable predicting effects of a wide range of environmental conditions, contributing to both basic ecological understanding of natural systems and conservation. We expect this approach will demonstrate applicability across diverse habitats and species, and that its foundation can help continue to advance understanding of spatial behaviour. Text Canis lupus PubMed Central (PMC) Proceedings of the Royal Society B: Biological Sciences 289 1966 |
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Behaviour Sells, Sarah N. Mitchell, Michael S. Ausband, David E. Luis, Angela D. Emlen, Douglas J. Podruzny, Kevin M. Gude, Justin A. Economical defence of resources structures territorial space use in a cooperative carnivore |
topic_facet |
Behaviour |
description |
Ecologists have long sought to understand space use and mechanisms underlying patterns observed in nature. We developed an optimality landscape and mechanistic territory model to understand mechanisms driving space use and compared model predictions to empirical reality. We demonstrate our approach using grey wolves (Canis lupus). In the model, simulated animals selected territories to economically acquire resources by selecting patches with greatest value, accounting for benefits, costs and trade-offs of defending and using space on the optimality landscape. Our approach successfully predicted and explained first- and second-order space use of wolves, including the population's distribution, territories of individual packs, and influences of prey density, competitor density, human-caused mortality risk and seasonality. It accomplished this using simple behavioural rules and limited data to inform the optimality landscape. Results contribute evidence that economical territory selection is a mechanistic bridge between space use and animal distribution on the landscape. This approach and resulting gains in knowledge enable predicting effects of a wide range of environmental conditions, contributing to both basic ecological understanding of natural systems and conservation. We expect this approach will demonstrate applicability across diverse habitats and species, and that its foundation can help continue to advance understanding of spatial behaviour. |
format |
Text |
author |
Sells, Sarah N. Mitchell, Michael S. Ausband, David E. Luis, Angela D. Emlen, Douglas J. Podruzny, Kevin M. Gude, Justin A. |
author_facet |
Sells, Sarah N. Mitchell, Michael S. Ausband, David E. Luis, Angela D. Emlen, Douglas J. Podruzny, Kevin M. Gude, Justin A. |
author_sort |
Sells, Sarah N. |
title |
Economical defence of resources structures territorial space use in a cooperative carnivore |
title_short |
Economical defence of resources structures territorial space use in a cooperative carnivore |
title_full |
Economical defence of resources structures territorial space use in a cooperative carnivore |
title_fullStr |
Economical defence of resources structures territorial space use in a cooperative carnivore |
title_full_unstemmed |
Economical defence of resources structures territorial space use in a cooperative carnivore |
title_sort |
economical defence of resources structures territorial space use in a cooperative carnivore |
publisher |
The Royal Society |
publishDate |
2022 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8753142/ http://www.ncbi.nlm.nih.gov/pubmed/35016539 https://doi.org/10.1098/rspb.2021.2512 |
genre |
Canis lupus |
genre_facet |
Canis lupus |
op_source |
Proc Biol Sci |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8753142/ http://www.ncbi.nlm.nih.gov/pubmed/35016539 http://dx.doi.org/10.1098/rspb.2021.2512 |
op_rights |
© 2022 The Author(s) https://royalsociety.org/-/media/journals/author/Licence-to-Publish-20062019-final.pdfhttps://royalsociety.org/journals/ethics-policies/data-sharing-mining/Published by the Royal Society. All rights reserved. |
op_doi |
https://doi.org/10.1098/rspb.2021.2512 |
container_title |
Proceedings of the Royal Society B: Biological Sciences |
container_volume |
289 |
container_issue |
1966 |
_version_ |
1766385374196662272 |