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Patterns and consequences of age-linked change in local relatedness in animal societies

Samuel Ellis Orcid Logo, Rufus A. Johnstone, Michael A. Cant Orcid Logo, Daniel W. Franks, Michael N. Weiss, Susan C. Alberts Orcid Logo, Kenneth C. Balcomb, Claire H. Benton, Lauren J. N. Brent Orcid Logo, Catherine Crockford, Eve Davidian Orcid Logo, Richard J. Delahay, David K. Ellifrit, Oliver P. Höner Orcid Logo, Magali Meniri, Robbie A. McDonald Orcid Logo, Hazel Nichols Orcid Logo, Faye J. Thompson Orcid Logo, Linda Vigilant Orcid Logo, Roman M. Wittig Orcid Logo, Darren P. Croft Orcid Logo

Nature Ecology and Evolution, Volume: 6, Issue: 11, Pages: 1766 - 1776

Swansea University Author: Hazel Nichols Orcid Logo

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DOI (Published version): 10.1038/s41559-022-01872-2

Abstract

The ultimate payoff of behaviours depends not only on their direct impact on an individual but also on the impact on their relatives. Local relatedness – the average relatedness of an individual to their social environment – therefore has profound impacts on social and life history evolution. Recent...

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Published in: Nature Ecology and Evolution
ISSN: 2397-334X
Published: Springer Science and Business Media LLC 2022
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URI: https://cronfa.swan.ac.uk/Record/cronfa60776
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spelling 2022-11-18T13:09:17.1696539 v2 60776 2022-08-08 Patterns and consequences of age-linked change in local relatedness in animal societies 43ba12986bd7754484874c73eed0ebfe 0000-0002-4455-6065 Hazel Nichols Hazel Nichols true false 2022-08-08 SBI The ultimate payoff of behaviours depends not only on their direct impact on an individual but also on the impact on their relatives. Local relatedness – the average relatedness of an individual to their social environment – therefore has profound impacts on social and life history evolution. Recent work has begun to show that local relatedness has the potential to change systematically over an individual’s lifetime, a process called kinship dynamics. However, it is unclear how general these kinship dynamics are, whether they are predictable in real systems and their impacts on behaviour and life history evolution. In this study, we combine modelling with data from real systems to explore the extent and impact of kinship dynamics. We use data from seven group-living mammals with diverse social and mating systems to demonstrate not only that kinship dynamics occur in animal systems, but also that the direction and magnitude of kinship dynamics can be accurately predicted using a simple model. We use a theoretical model to demonstrate that kinship dynamics can profoundly impact lifetime patterns of behaviour and can drive sex differences in helping and harming behaviour across the lifespan in social species. Taken together this work demonstrates that kinship dynamics are likely to be a fundamental dimension of social evolution, especially when considering age-linked changes and sex differences in behaviour and life history. Journal Article Nature Ecology and Evolution 6 11 1766 1776 Springer Science and Business Media LLC 2397-334X 26 9 2022 2022-09-26 10.1038/s41559-022-01872-2 COLLEGE NANME Biosciences COLLEGE CODE SBI Swansea University 2022-11-18T13:09:17.1696539 2022-08-08T10:45:02.6389080 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Biosciences Samuel Ellis 0000-0001-9019-6040 1 Rufus A. Johnstone 2 Michael A. Cant 0000-0002-1530-3077 3 Daniel W. Franks 4 Michael N. Weiss 5 Susan C. Alberts 0000-0002-1313-488x 6 Kenneth C. Balcomb 7 Claire H. Benton 8 Lauren J. N. Brent 0000-0002-1202-1939 9 Catherine Crockford 10 Eve Davidian 0000-0001-9437-0720 11 Richard J. Delahay 12 David K. Ellifrit 13 Oliver P. Höner 0000-0002-0658-3417 14 Magali Meniri 15 Robbie A. McDonald 0000-0002-6922-3195 16 Hazel Nichols 0000-0002-4455-6065 17 Faye J. Thompson 0000-0001-7581-2204 18 Linda Vigilant 0000-0003-4509-1260 19 Roman M. Wittig 0000-0001-6490-4031 20 Darren P. Croft 0000-0001-6869-5097 21 60776__25009__ff816991f8d54daca447e72e14d8c92b.pdf 60776.pdf 2022-08-24T13:25:01.4987664 Output 308988 application/pdf Accepted Manuscript true 2023-03-26T00:00:00.0000000 true eng
title Patterns and consequences of age-linked change in local relatedness in animal societies
spellingShingle Patterns and consequences of age-linked change in local relatedness in animal societies
Hazel Nichols
title_short Patterns and consequences of age-linked change in local relatedness in animal societies
title_full Patterns and consequences of age-linked change in local relatedness in animal societies
title_fullStr Patterns and consequences of age-linked change in local relatedness in animal societies
title_full_unstemmed Patterns and consequences of age-linked change in local relatedness in animal societies
title_sort Patterns and consequences of age-linked change in local relatedness in animal societies
author_id_str_mv 43ba12986bd7754484874c73eed0ebfe
author_id_fullname_str_mv 43ba12986bd7754484874c73eed0ebfe_***_Hazel Nichols
author Hazel Nichols
author2 Samuel Ellis
Rufus A. Johnstone
Michael A. Cant
Daniel W. Franks
Michael N. Weiss
Susan C. Alberts
Kenneth C. Balcomb
Claire H. Benton
Lauren J. N. Brent
Catherine Crockford
Eve Davidian
Richard J. Delahay
David K. Ellifrit
Oliver P. Höner
Magali Meniri
Robbie A. McDonald
Hazel Nichols
Faye J. Thompson
Linda Vigilant
Roman M. Wittig
Darren P. Croft
format Journal article
container_title Nature Ecology and Evolution
container_volume 6
container_issue 11
container_start_page 1766
publishDate 2022
institution Swansea University
issn 2397-334X
doi_str_mv 10.1038/s41559-022-01872-2
publisher Springer Science and Business Media LLC
college_str Faculty of Science and Engineering
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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
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department_str School of Biosciences, Geography and Physics - Biosciences{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Biosciences
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description The ultimate payoff of behaviours depends not only on their direct impact on an individual but also on the impact on their relatives. Local relatedness – the average relatedness of an individual to their social environment – therefore has profound impacts on social and life history evolution. Recent work has begun to show that local relatedness has the potential to change systematically over an individual’s lifetime, a process called kinship dynamics. However, it is unclear how general these kinship dynamics are, whether they are predictable in real systems and their impacts on behaviour and life history evolution. In this study, we combine modelling with data from real systems to explore the extent and impact of kinship dynamics. We use data from seven group-living mammals with diverse social and mating systems to demonstrate not only that kinship dynamics occur in animal systems, but also that the direction and magnitude of kinship dynamics can be accurately predicted using a simple model. We use a theoretical model to demonstrate that kinship dynamics can profoundly impact lifetime patterns of behaviour and can drive sex differences in helping and harming behaviour across the lifespan in social species. Taken together this work demonstrates that kinship dynamics are likely to be a fundamental dimension of social evolution, especially when considering age-linked changes and sex differences in behaviour and life history.
published_date 2022-09-26T04:19:10Z
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