ArticleJournal of evolutionary biology2015
Selection for territory acquisition is modulated by social network structure in a wild songbird.
Article in Journal of evolutionary biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- Is Blood Thicker Than Water? The Influence of Kin Within a Bull Shark Social Network.Ecology and evolution · 2026Article
- Non-breeding social behaviour as an investment in reducing future territoriality costs.Biological reviews of the Cambridge Philosophical Society · 2025Review
- Evidence for the evolution of male and female cardinals' plumage colouration being affected by both natural and sexual selection.BMC ecology and evolution · 2025Article
- Game theory elucidates how competitive dynamics mediate animal social networks.BMC ecology and evolution · 2024Article
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- Emergent social structure is typically not associated with survival in a facultatively social mammal.Biology letters · 2023Article
- Social animal models for quantifying plasticity, assortment, and selection on interacting phenotypes.Journal of evolutionary biology · 2022Article
- Group and individual social network metrics are robust to changes in resource distribution in experimental populations of forked fungus beetles.The Journal of animal ecology · 2022Article
- Early-life social environment predicts social network position in wild zebra finches.Proceedings. Biological sciences · 2019Article
- Collapse and rescue of cooperation in evolving dynamic networks.Nature communications · 2018Article
- Stronger social bonds do not always predict greater longevity in a gregarious primate.Ecology and evolution · 2018Article
- Male great tits assort by personality during the breeding season.Animal behaviour · 2017Article
- Wild birds respond to flockmate loss by increasing their social network associations to others.Proceedings. Biological sciences · 2017Article
- Using Social Network Measures in Wildlife Disease Ecology, Epidemiology, and Management.Bioscience · 2017Article
- Article
- Social carry-over effects underpin trans-seasonally linked structure in a wild bird population.Ecology letters · 2016Article
- Measuring the robustness of network community structure using assortativity.Animal behaviour · 2016Article
- Carry-over effects of the social environment on future divorce probability in a wild bird population.Proceedings. Biological sciences · 2015Article
- Consistent individual differences in the social phenotypes of wild great tits,Animal behaviour · 2015Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
The social environment may be a key mediator of selection that operates on animals. In many cases, individuals may experience selection not only as a function of their phenotype, but also as a function of the interaction between their phenotype and the phenotypes of the conspecifics they associate with. For example, when animals settle after dispersal, individuals may benefit from arriving early, but, in many cases, these benefits will be affected by the arrival times of other individuals in their local environment. We integrated a recently described method for calculating assortativity on weighted networks, which is the correlation between an individual's phenotype and that of its associates, into an existing framework for measuring the magnitude of social selection operating on phenotypes. We applied this approach to large-scale data on social network structure and the timing of arrival into the breeding area over three years. We found that late-arriving individuals had a reduced probability of breeding. However, the probability of breeding was also influenced by individuals' social networks. Associating with late-arriving conspecifics increased the probability of successfully acquiring a breeding territory. Hence, social selection could offset the effects of nonsocial selection. Given parallel theoretical developments of the importance of local network structure on population processes, and increasing data being collected on social networks in free-living populations, the integration of these concepts could yield significant insights into social evolution.
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