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
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Individual variation in functional response parameters is explained by body size but not by behavioural types in a poeciliid fish
TL;DR: This study found that individual fish varied substantially in their attack rate and in their handling time, indicating in contrast to that previous study that behavioural types do not per se affect individual functional responses assessed in the absence of external biotic stressors.
Journal ArticleDOI
How social network structure affects decision-making in Drosophila melanogaster.
Cristian Pasquaretta,Marine Battesti,Elizabeth Klenschi,Christophe A. H. Bousquet,Cédric Sueur,Frederic Mery +5 more
TL;DR: This work analysed how uninformed flies acquire and later use information about oviposition site choice they learn from informed flies and shows that this selective information use seems to be based on the level of homogeneity of the social network.
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Decomposing the variance in southern elephant seal weaning mass: partitioning environmental signals and maternal effects
W. Chris Oosthuizen,W. Chris Oosthuizen,Marthán N Bester,Res Altwegg,Trevor McIntyre,P J Nico de Bruyn +5 more
TL;DR: This work used linear mixed models to examine temporal process variance in weaning mass (a key fitness component) of southern elephant seals at Marion Island over a 27-year period (1986–2013), and determined whether the observed reversal of population decline was associated with a continued increase in weaned mass.
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Energetic trade-offs and feedbacks between behavior and metabolism influence correlations between pace-of-life attributes
TL;DR: The model reproduces trait correlations consistent with the POLS, but also generated a “sloppy” syndrome with considerable non-POLS-like variation, indicating that complexity in how energy is acquired and used can potentially disrupt trait correlations normally associated with the pace-of-life syndrome.
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Decreasing parental task specialization promotes conditional cooperation.
TL;DR: Using a biparental bird species and repeated sampling of behavioural activities throughout a major part of reproduction, a clear division of tasks between males and females in provisioning, brooding and foraging is shown.
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.
Book
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.