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Social network centrality predicts dietary decisions in a wild bird population.
McMahon, Keith; Marples, Nicola M; Spurgin, Lewis G; Rowland, Hannah M; Sheldon, Ben C; Firth, Josh A.
Afiliación
  • McMahon K; Department of Biology, Oxford University, Oxford, UK.
  • Marples NM; Department of Zoology, School of Natural Sciences, Trinity College Dublin, Dublin 2, Ireland.
  • Spurgin LG; School of Biological Sciences, University of East Anglia, Norwich, UK.
  • Rowland HM; Max Planck Institute for Chemical Ecology, Jena, Germany.
  • Sheldon BC; Department of Zoology, University of Cambridge, Cambridge, UK.
  • Firth JA; Department of Biology, Oxford University, Oxford, UK.
iScience ; 27(5): 109581, 2024 May 17.
Article en En | MEDLINE | ID: mdl-38638576
ABSTRACT
How individuals balance costs and benefits of group living remains central to understanding sociality. In relation to diet, social foraging provides many advantages but also increases competition. Nevertheless, social individuals may offset increased competition by broadening their diet and consuming novel foods. Despite the expected relationships between social behavior and dietary decisions, how sociality shapes individuals' novel food consumption remains largely untested in natural populations. Here, we use wild great tits to experimentally test how sociality predicts dietary decisions. We show that individuals with more social connections have higher propensity to use novel foods compared to socially peripheral individuals, and this is unrelated to neophobia, observations, and demographic factors. These findings indicate sociable individuals may offset potential costs of competition by foraging more broadly. We discuss how social environments may drive behavioral change in natural populations, and the implications for the causes and consequences of social strategies and dietary decisions.
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Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: IScience Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: IScience Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido