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Strickland K, Levengood A, Foroughirad V, et al. A framework for the identification of long-term social avoidance in longitudinal datasets. R Soc Open Sci. 2017;4(8):170641doi: 10.1098/rsos.170641.
Strickland, K., Levengood, A., Foroughirad, V., Mann, J., Krzyszczyk, E., & Frère, C. H. (2017). A framework for the identification of long-term social avoidance in longitudinal datasets. Royal Society open science, 4(8), 170641. https://doi.org/10.1098/rsos.170641
Strickland, Kasha, et al. "A framework for the identification of long-term social avoidance in longitudinal datasets." Royal Society open science vol. 4,8 (2017): 170641. doi: https://doi.org/10.1098/rsos.170641
Strickland K, Levengood A, Foroughirad V, Mann J, Krzyszczyk E, Frère CH. A framework for the identification of long-term social avoidance in longitudinal datasets. R Soc Open Sci. 2017 Aug 02;4(8):170641. doi: 10.1098/rsos.170641. eCollection 2017 Aug. PMID: 28879006; PMCID: PMC5579122.
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R Soc Open Sci. 2017 Aug 02;4(8):170641. doi: 10.1098/rsos.170641. eCollection 2017 Aug.

A framework for the identification of long-term social avoidance in longitudinal datasets.

Royal Society open science

Kasha Strickland, Alexis Levengood, Vivienne Foroughirad, Janet Mann, Ewa Krzyszczyk, Celine H Frère

Affiliations

  1. Genecology Research Centre, University of the Sunshine Coast, Sippy Downs, Maroochydore DC, Queensland 4558, Australia.
  2. Division of Marine Science and Conservation, Duke University Marine Laboratory, Beaufort, NC 28516, USA.
  3. Department of Biology and Psychology, Georgetown University, Washington, DC 20057, USA.

PMID: 28879006 PMCID: PMC5579122 DOI: 10.1098/rsos.170641

Abstract

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 (

Keywords: avoidance; longitudinal data; social behaviour; social preference; spatial distribution

Conflict of interest statement

We declare we have no competing interests.

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