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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...

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Autores principales: Strickland, Kasha, Levengood, Alexis, Foroughirad, Vivienne, Mann, Janet, Krzyszczyk, Ewa, Frère, Celine H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society Publishing 2017
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.
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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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