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A framework for the identification of long-term social avoidance in longitudinal datasets
Animal sociality is of significant interest to evolutionary and behavioural ecologists, with efforts focused on the patterns, causes and fitness outcomes of social preference. However, individual social patterns are the consequence of both attraction to (preference for) and avoidance of conspecifics...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society Publishing
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5579122/ https://www.ncbi.nlm.nih.gov/pubmed/28879006 http://dx.doi.org/10.1098/rsos.170641 |
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author | Strickland, Kasha Levengood, Alexis Foroughirad, Vivienne Mann, Janet Krzyszczyk, Ewa Frère, Celine H. |
author_facet | Strickland, Kasha Levengood, Alexis Foroughirad, Vivienne Mann, Janet Krzyszczyk, Ewa Frère, Celine H. |
author_sort | Strickland, Kasha |
collection | PubMed |
description | Animal sociality is of significant interest to evolutionary and behavioural ecologists, with efforts focused on the patterns, causes and fitness outcomes of social preference. However, individual social patterns are the consequence of both attraction to (preference for) and avoidance of conspecifics. Despite this, social avoidance has received far less attention than social preference. Here, we detail the necessary steps to generate a spatially explicit, iterative null model which can be used to identify non-random social avoidance in longitudinal studies of social animals. We specifically identify and detail parameters which will influence the validity of the model. To test the usability of this model, we applied it to two longitudinal studies of social animals (Eastern water dragons (Intellegama lesueurii) and bottlenose dolphins (Tursiops aduncus)) to identify the presence of social avoidances. Using this model allowed us to identify the presence of social avoidances in both species. We hope that the framework presented here inspires interest in addressing this critical gap in our understanding of animal sociality, in turn allowing for a more holistic understanding of social interactions, relationships and structure. |
format | Online Article Text |
id | pubmed-5579122 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | The Royal Society Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-55791222017-09-06 A framework for the identification of long-term social avoidance in longitudinal datasets Strickland, Kasha Levengood, Alexis Foroughirad, Vivienne Mann, Janet Krzyszczyk, Ewa Frère, Celine H. R Soc Open Sci Biology (Whole Organism) Animal sociality is of significant interest to evolutionary and behavioural ecologists, with efforts focused on the patterns, causes and fitness outcomes of social preference. However, individual social patterns are the consequence of both attraction to (preference for) and avoidance of conspecifics. Despite this, social avoidance has received far less attention than social preference. Here, we detail the necessary steps to generate a spatially explicit, iterative null model which can be used to identify non-random social avoidance in longitudinal studies of social animals. We specifically identify and detail parameters which will influence the validity of the model. To test the usability of this model, we applied it to two longitudinal studies of social animals (Eastern water dragons (Intellegama lesueurii) and bottlenose dolphins (Tursiops aduncus)) to identify the presence of social avoidances. Using this model allowed us to identify the presence of social avoidances in both species. We hope that the framework presented here inspires interest in addressing this critical gap in our understanding of animal sociality, in turn allowing for a more holistic understanding of social interactions, relationships and structure. The Royal Society Publishing 2017-08-02 /pmc/articles/PMC5579122/ /pubmed/28879006 http://dx.doi.org/10.1098/rsos.170641 Text en © 2017 The Authors. http://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/, which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Biology (Whole Organism) Strickland, Kasha Levengood, Alexis Foroughirad, Vivienne Mann, Janet Krzyszczyk, Ewa Frère, Celine H. A framework for the identification of long-term social avoidance in longitudinal datasets |
title | A framework for the identification of long-term social avoidance in longitudinal datasets |
title_full | A framework for the identification of long-term social avoidance in longitudinal datasets |
title_fullStr | A framework for the identification of long-term social avoidance in longitudinal datasets |
title_full_unstemmed | A framework for the identification of long-term social avoidance in longitudinal datasets |
title_short | A framework for the identification of long-term social avoidance in longitudinal datasets |
title_sort | framework for the identification of long-term social avoidance in longitudinal datasets |
topic | Biology (Whole Organism) |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5579122/ https://www.ncbi.nlm.nih.gov/pubmed/28879006 http://dx.doi.org/10.1098/rsos.170641 |
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