作者: Grant C. McDonald , Damien R. Farine , Kevin R. Foster , Jay M. Biernaskie
DOI: 10.1111/EVO.13365
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摘要: A central problem in evolutionary biology is to determine whether and how social interactions contribute natural selection. This can be addressed with selection analyses that relate individual fitness phenotypes. One such approach, known as analysis, leads the intuitive result effects from partners will only if there a correlation between traits of individuals their (non-random phenotypic assortment). However, have been inconsistencies application this approach center around measurement assortment. Here, we use data analysis simulations resolve these inconsistencies, showing that: (i) not all measures assortment are suitable for analysis; (ii) interpretation assortment, detect non-random depend on scale at which it measured. We discuss links kin theory, provide practical guide approach. This article protected by copyright. All rights reserved