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Offspring social network structure predicts fitness in families

Royle, N. J. and Pike, T. W. and Heeb, P. and Richner, H. and Kölliker, M.. (2012) Offspring social network structure predicts fitness in families. Proceedings of the Royal Society. Series B, Biological Sciences, 279 (1749). pp. 4914-4922.

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Abstract

Social structures such as families emerge as outcomes of behavioural interactions among individuals, and can evolve over time if families with particular types of social structures tend to leave more individuals in subsequent generations. The social behaviour of interacting individuals is typically analysed as a series of multiple dyadic (pair-wise) interactions, rather than a network of interactions among multiple individuals. However, in species where parents feed dependant young, interactions within families nearly always involve more than two individuals simultaneously. Such social networks of interactions at least partly reflect conflicts of interest over the provision of costly parental investment. Consequently, variation in family network structure reflects variation in how conflicts of interest are resolved among family members. Despite its importance in understanding the evolution of emergent properties of social organization such as family life and cooperation, nothing is currently known about how selection acts on the structure of social networks. Here, we show that the social network structure of broods of begging nestling great tits Parus major predicts fitness in families. Although selection at the level of the individual favours large nestlings, selection at the level of the kin-group primarily favours families that resolve conflicts most effectively.
Faculties and Departments:05 Faculty of Science > Departement Umweltwissenschaften > Ehemalige Einheiten Umweltwissenschaften > Verhaltensevolution (Kölliker)
UniBasel Contributors:Kölliker, Mathias
Item Type:Article, refereed
Article Subtype:Research Article
Bibsysno:Link to catalogue
Publisher:The Royal Society
ISSN:0962-8452
e-ISSN:1471-2954
Note:Publication type according to Uni Basel Research Database: Journal article
Language:English
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Last Modified:05 Oct 2017 11:49
Deposited On:01 Feb 2013 08:44

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