Evaluating the social structure of captive Rothschild's giraffes (


Journal

Journal of applied animal welfare science : JAAWS
ISSN: 1532-7604
Titre abrégé: J Appl Anim Welf Sci
Pays: England
ID NLM: 9804404

Informations de publication

Date de publication:
Historique:
pubmed: 5 2 2019
medline: 17 9 2020
entrez: 5 2 2019
Statut: ppublish

Résumé

Social network analysis (SNA) is useful for evaluating management zoo regimes to ensure that any fitness benefits of sociality are preserved in captive-housed groups. This paper explores the association patterns of 13 giraffes housed at Longleat Safari Park, UK. Wild giraffes exhibit a fission-fusion social system with preferential bonding. As zoo-housed giraffes are common, they are excellent study subjects for using SNA to investigate key aspects of sociality within a managed social environment. Social bonds were assessed over different seasons and data from two study periods (2011 and 2015) were analyzed to see consistency of "social type" (i.e., more social or more solitary). Associations showed the occurrence of consistent preferential bonds between named individuals but time of year influenced the patterns of social bonds. Female-female bonds and female-offspring bonds appeared to be strongest. For animals present in 2011 and 2015, differences in time spent socializing between years were apparent. Results suggest that giraffes may be flexible in their choice of social partner and zoo-managed herds should include a range of individuals from which each animal can choose a preferred associate.

Identifiants

pubmed: 30712403
doi: 10.1080/10888705.2019.1573682
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

178-192

Auteurs

Jack Lewton (J)

School of Science and the Environment, Faculty of Science & Engineering, John Dalton Building, Manchester Metropolitan University, Manchester, UK.

Paul E Rose (PE)

Centre for Research in Animal Behaviour, College of Life & Environmental Sciences, Washington Singer Labs, University of Exeter, Exeter, UK.

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Classifications MeSH