Modelling collective navigation via non-local communication
Collective migration occurs throughout the animal kingdom, and demands both the interpretation of navigational cues and the perception of other individuals within the group. Navigational cues orient individuals towards a destination, while it has been demonstrated that communication between individu...
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ftpubmed:oai:pubmedcentral.nih.gov:8479363 2023-05-15T17:12:51+02:00 Modelling collective navigation via non-local communication Johnston, S. T. Painter, K. J. 2021-09-29 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8479363/ https://doi.org/10.1098/rsif.2021.0383 en eng The Royal Society http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8479363/ http://dx.doi.org/10.1098/rsif.2021.0383 © 2021 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited. CC-BY J R Soc Interface Life Sciences–Mathematics interface Text 2021 ftpubmed https://doi.org/10.1098/rsif.2021.0383 2021-10-03T01:25:58Z Collective migration occurs throughout the animal kingdom, and demands both the interpretation of navigational cues and the perception of other individuals within the group. Navigational cues orient individuals towards a destination, while it has been demonstrated that communication between individuals enhances navigation through a reduction in orientation error. We develop a mathematical model of collective navigation that synthesizes navigational cues and perception of other individuals. Crucially, this approach incorporates uncertainty inherent to cue interpretation and perception in the decision making process, which can arise due to noisy environments. We demonstrate that collective navigation is more efficient than individual navigation, provided a threshold number of other individuals are perceptible. This benefit is even more pronounced in low navigation information environments. In navigation ‘blindspots’, where no information is available, navigation is enhanced through a relay that connects individuals in information-poor regions to individuals in information-rich regions. As an expository case study, we apply our framework to minke whale migration in the northeast Atlantic Ocean, and quantify the decrease in navigation ability due to anthropogenic noise pollution. Text minke whale Northeast Atlantic PubMed Central (PMC) Journal of The Royal Society Interface 18 182 |
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English |
topic |
Life Sciences–Mathematics interface |
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Life Sciences–Mathematics interface Johnston, S. T. Painter, K. J. Modelling collective navigation via non-local communication |
topic_facet |
Life Sciences–Mathematics interface |
description |
Collective migration occurs throughout the animal kingdom, and demands both the interpretation of navigational cues and the perception of other individuals within the group. Navigational cues orient individuals towards a destination, while it has been demonstrated that communication between individuals enhances navigation through a reduction in orientation error. We develop a mathematical model of collective navigation that synthesizes navigational cues and perception of other individuals. Crucially, this approach incorporates uncertainty inherent to cue interpretation and perception in the decision making process, which can arise due to noisy environments. We demonstrate that collective navigation is more efficient than individual navigation, provided a threshold number of other individuals are perceptible. This benefit is even more pronounced in low navigation information environments. In navigation ‘blindspots’, where no information is available, navigation is enhanced through a relay that connects individuals in information-poor regions to individuals in information-rich regions. As an expository case study, we apply our framework to minke whale migration in the northeast Atlantic Ocean, and quantify the decrease in navigation ability due to anthropogenic noise pollution. |
format |
Text |
author |
Johnston, S. T. Painter, K. J. |
author_facet |
Johnston, S. T. Painter, K. J. |
author_sort |
Johnston, S. T. |
title |
Modelling collective navigation via non-local communication |
title_short |
Modelling collective navigation via non-local communication |
title_full |
Modelling collective navigation via non-local communication |
title_fullStr |
Modelling collective navigation via non-local communication |
title_full_unstemmed |
Modelling collective navigation via non-local communication |
title_sort |
modelling collective navigation via non-local communication |
publisher |
The Royal Society |
publishDate |
2021 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8479363/ https://doi.org/10.1098/rsif.2021.0383 |
genre |
minke whale Northeast Atlantic |
genre_facet |
minke whale Northeast Atlantic |
op_source |
J R Soc Interface |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8479363/ http://dx.doi.org/10.1098/rsif.2021.0383 |
op_rights |
© 2021 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited. |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1098/rsif.2021.0383 |
container_title |
Journal of The Royal Society Interface |
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18 |
container_issue |
182 |
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1766069727200804864 |