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Assortment and the analysis of natural selection on social traits
Authors:Grant C McDonald  Damien R Farine  Kevin R Foster  Jay M Biernaskie
Institution:1. Department of Zoology, University of Oxford, Oxford OX13PS, United Kingdom;2. Department of Collective Behaviour, Max Planck Institute for Ornithology, 78457 Konstanz, Germany;3. Chair of Biodiversity and Collective Behaviour, Department of Biology, University of Konstanz, 78457 Konstanz, Germany;4. Department of Plant Sciences, University of Oxford, Oxford OX13RB, United Kingdom
Abstract:A central problem in evolutionary biology is to determine whether and how social interactions contribute to natural selection. A key method for phenotypic data is social selection analysis, in which fitness effects from social partners contribute to selection only when there is a correlation between the traits of individuals and their social partners (nonrandom phenotypic assortment). However, there are inconsistencies in the use of social selection that center around the measurement of phenotypic assortment. Here, we use data analysis and simulations to resolve these inconsistencies, showing that: (i) not all measures of assortment are suitable for social selection analysis; and (ii) the interpretation of assortment, and how to detect nonrandom assortment, will depend on the scale at which it is measured. We discuss links to kin selection theory and provide a practical guide for the social selection approach.
Keywords:Contextual analysis  evolutionary quantitative genetics  kin selection  multilevel selection  social network analysis  social selection
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