University of Lincoln
Browse

Offspring social network structure predicts fitness in families

Version 2 2024-03-12, 21:27
Version 1 2023-10-19, 21:09
journal contribution
posted on 2024-03-12, 21:27 authored by Nick J. Royle, Tom PikeTom Pike, Philipp Heeb, Heinz Richner, Mathias Kolliker

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.

History

School affiliated with

  • Department of Life Sciences (Research Outputs)

Publication Title

Proceedings of the Royal Society B: Biological Sciences

Volume

279

Issue

1749

Pages/Article Number

4914-4922

Publisher

Royal Society

ISSN

0962-8452

eISSN

1471-2954

Date Submitted

2013-01-10

Date Accepted

2013-01-10

Date of First Publication

2013-01-10

Date of Final Publication

2013-01-10

ePrints ID

7230

Usage metrics

    University of Lincoln (Research Outputs)

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC