Literature DB >> 33708005

Context-dependent trait covariances: how plasticity shapes behavioral syndromes.

David J Mitchell1, Thomas M Houslay2.   

Abstract

The study of behavioral syndromes aims to understand among-individual correlations of behavior, yielding insights into the ecological factors and proximate constraints that shape behavior. In parallel, interest has been growing in behavioral plasticity, with results commonly showing that animals vary in their behavioral response to environmental change. These two phenomena are inextricably linked-behavioral syndromes describe cross-trait or cross-context correlations, while variation in behavioral plasticity describes variation in response to changing context. However, they are often discussed separately, with plasticity analyses typically considering a single trait (univariate) across environments, while behavioral trait correlations are studied as multiple traits (multivariate) under one environmental context. Here, we argue that such separation represents a missed opportunity to integrate these concepts. Through observations of multiple traits while manipulating environmental conditions, we can quantify how the environment shapes behavioral correlations, thus quantifying how phenotypes are differentially constrained or integrated under different environmental conditions. Two analytical options exist which enable us to evaluate the context dependence of behavioral syndromes-multivariate reaction norms and character state models. These models are largely two sides of the same coin, but through careful interpretation we can use either to shift our focus to test how the contextual environment shapes trait covariances.
© The Author(s) 2020. Published by Oxford University Press on behalf of the International Society for Behavioral Ecology.

Entities:  

Keywords:  animal personality; individual-by-environment interactions; mixed effect models; phenotypic integration; temporal plasticity

Year:  2020        PMID: 33708005      PMCID: PMC7937033          DOI: 10.1093/beheco/araa115

Source DB:  PubMed          Journal:  Behav Ecol        ISSN: 1045-2249            Impact factor:   2.671


  30 in total

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