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A framework for the identification of long-term social avoidance in longitudinal datasets
Author(s) -
Kasha Strickland,
Alexis L. Levengood,
Vivienne Foroughirad,
Janet Mann,
Ewa Krzyszczyk,
Céline Frère
Publication year - 2017
Publication title -
royal society open science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.84
H-Index - 51
ISSN - 2054-5703
DOI - 10.1098/rsos.170641
Subject(s) - sociality , preference , identification (biology) , cognitive psychology , psychology , social learning , social psychology , ecology , biology , pedagogy , economics , microeconomics
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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