Literature DB >> 29967307

Split between two worlds: automated sensing reveals links between above- and belowground social networks in a free-living mammal.

Jennifer E Smith1, Denisse A Gamboa2, Julia M Spencer2, Sarah J Travenick2, Chelsea A Ortiz2, Riana D Hunter2, Andy Sih3.   

Abstract

Many animals socialize in two or more major ecological contexts. In nature, these contexts often involve one situation in which space is more constrained (e.g. shared refuges, sleeping cliffs, nests, dens or burrows) and another situation in which animal movements are relatively free (e.g. in open spaces lacking architectural constraints). Although it is widely recognized that an individual's characteristics may shape its social life, the extent to which architecture constrains social decisions within and between habitats remains poorly understood. Here we developed a novel, automated-monitoring system to study the effects of personality, life-history stage and sex on the social network structure of a facultatively social mammal, the California ground squirrel (Otospermophilus beecheyi) in two distinct contexts: aboveground where space is relatively open and belowground where it is relatively constrained by burrow architecture. Aboveground networks reflected affiliative social interactions whereas belowground networks reflected burrow associations. Network structure in one context (belowground), along with preferential juvenile-adult associations, predicted structure in a second context (aboveground). Network positions of individuals were generally consistent across years (within contexts) and between ecological contexts (within years), suggesting that individual personalities and behavioural syndromes, respectively, contribute to the social network structure of these free-living mammals. Direct ties (strength) tended to be stronger in belowground networks whereas more indirect paths (betweenness centrality) flowed through individuals in aboveground networks. Belowground, females fostered significantly more indirect paths than did males. Our findings have important potential implications for disease and information transmission, offering new insights into the multiple factors contributing to social structures across ecological contexts.This article is part of the theme issue 'Interdisciplinary approaches for uncovering the impacts of architecture on collective behaviour'.
© 2018 The Author(s).

Entities:  

Keywords:  affiliative behaviour; animal social networks; automated-monitoring system; ground squirrel

Mesh:

Year:  2018        PMID: 29967307      PMCID: PMC6030582          DOI: 10.1098/rstb.2017.0249

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  59 in total

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9.  Behavioural phenotype affects social interactions in an animal network.

Authors:  Thomas W Pike; Madhumita Samanta; Jan Lindström; Nick J Royle
Journal:  Proc Biol Sci       Date:  2008-11-07       Impact factor: 5.349

10.  From superspreaders to disease hotspots: linking transmission across hosts and space.

Authors:  Sara H Paull; Sejin Song; Katherine M McClure; Loren C Sackett; A Marm Kilpatrick; Pieter T J Johnson
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  5 in total

1.  Split between two worlds: automated sensing reveals links between above- and belowground social networks in a free-living mammal.

Authors:  Jennifer E Smith; Denisse A Gamboa; Julia M Spencer; Sarah J Travenick; Chelsea A Ortiz; Riana D Hunter; Andy Sih
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2018-08-19       Impact factor: 6.237

2.  Interdisciplinary approaches for uncovering the impacts of architecture on collective behaviour.

Authors:  Noa Pinter-Wollman; Alan Penn; Guy Theraulaz; Stephen M Fiore
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2018-08-19       Impact factor: 6.237

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Journal:  Nat Commun       Date:  2021-06-07       Impact factor: 14.919

5.  Physiological Stress Integrates Resistance to Rattlesnake Venom and the Onset of Risky Foraging in California Ground Squirrels.

Authors:  Matthew L Holding; Breanna J Putman; Lauren M Kong; Jennifer E Smith; Rulon W Clark
Journal:  Toxins (Basel)       Date:  2020-09-27       Impact factor: 4.546

  5 in total

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