Quantifying individual variation in behaviour: mixed-effect modelling approaches
TLDR
An overview of how mixed-effect models can be used to partition variation in, and correlations among, phenotypic attributes into between- and within-individual variance components is provided.Abstract:
Growing interest in proximate and ultimate causes and consequences of between- and within-individual variation in labile components of the phenotype - such as behaviour or physiology - characterizes current research in evolutionary ecology. The study of individual variation requires tools for quantification and decomposition of phenotypic variation into between- and within-individual components. This is essential as variance components differ in their ecological and evolutionary implications. We provide an overview of how mixed-effect models can be used to partition variation in, and correlations among, phenotypic attributes into between- and within-individual variance components. Optimal sampling schemes to accurately estimate (with sufficient power) a wide range of repeatabilities and key (co)variance components, such as between- and within-individual correlations, are detailed. Mixed-effect models enable the usage of unambiguous terminology for patterns of biological variation that currently lack a formal statistical definition (e.g. 'animal personality' or 'behavioural syndromes'), and facilitate cross-fertilisation between disciplines such as behavioural ecology, ecological physiology and quantitative genetics.read more
Citations
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A test on within-individual changes in risk-taking behaviour due to experience to predation in the Collared Flycatcher (Ficedula albicollis)
Katalin Krenhardt,Gábor Markó,Gábor Markó,Eszter Szász,Mónika Jablonszky,Sándor Zsebők,János Török,László Zsolt Garamszegi +7 more
TL;DR: It was found that individuals systematically took less risk over the years, which might be a consequence of acquiring general experience with age, as well as feedback mechanisms that can weaken or preserve the within-individual consistency of behavioural traits.
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Sleepiness profiles in mice submitted to acute and chronic sleep deprivation
TL;DR: In this paper , the authors investigated the development of sleepiness in sleep deprived mice and found that individual variation was the main factor for sleepiness during acute sleep deprivation whereas in chronic deprivation individual variation is more relevant.
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From nestling to adult: personality traits are consistent within but not across life stages in a wild songbird
TL;DR: The authors measured personality across three life stages (nestling, fledgling, and adult) in a wild population of superb fairy-wrens (Malurus cyaneus) and found that personality differences were often consistent within life stages but never across them.
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Movement modeling and patterns of within- and among-individual behavioral variation across time scales in neonate garter snakes (Thamnophis elegans)
Eric J. Gangloff,Eric J. Gangloff,Vianey Leos-Barajas,Vianey Leos-Barajas,Gabriel Demuth,Gabriel Demuth,Haozhe Zhang,Haozhe Zhang,Clint D. Kelly,Clint D. Kelly,Anne M. Bronikowski +10 more
TL;DR: In this article, a combination of traditional statistical approaches and novel movement modeling was used to identify patterns in the behavior of neonate snakes at different time scales (within several minutes of a trial and across the days of the experiment).
References
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Book
Introduction to quantitative genetics
TL;DR: The genetic constitution of a population: Hardy-Weinberg equilibrium and changes in gene frequency: migration mutation, changes of variance, and heritability are studied.
Book
Mixed-Effects Models in S and S-PLUS
TL;DR: Linear Mixed-Effects and Nonlinear Mixed-effects (NLME) models have been studied in the literature as mentioned in this paper, where the structure of grouped data has been used for fitting LME models.
Journal Article
Human biochemical genetics
TL;DR: For the next few weeks the course is going to be exploring a field that’s actually older than classical population genetics, although the approach it’ll be taking to it involves the use of population genetic machinery.
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Multilevel analysis : an introduction to basic and advanced multilevel modeling
Tom A. B. Snijders,Roel Bosker +1 more
TL;DR: In this paper, the authors proposed a multilevel regression model to estimate within-and between-group correlations using a combination of within-group correlation and cross-group evidence.
Journal ArticleDOI
Generalized linear mixed models: a practical guide for ecology and evolution
Benjamin M. Bolker,Mollie Elizabeth Brooks,Connie J. Clark,Shane W. Geange,John R. Poulsen,M. Henry H. Stevens,Jada-Simone S. White +6 more
TL;DR: The use (and misuse) of GLMMs in ecology and evolution are reviewed, estimation and inference are discussed, and 'best-practice' data analysis procedures for scientists facing this challenge are summarized.