Assortment and the analysis of natural selection on social traits

Grant C. McDonald, Damien R. Farine, Kevin R. Foster, Jay M. Biernaskie

Research output: Contribution to journalArticlepeer-review

29 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)2693-2702
Number of pages10
JournalEvolution
Volume71
Issue number11
DOIs
Publication statusPublished - Nov 2017
Externally publishedYes

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