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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Rising to the challenge? Inter-individual variation of the androgen response to social interactions in cichlid fish.
TL;DR: It is suggested that determining the temporal pattern of the androgen response to social interactions and considering inter-individual variation may be the key to understanding the contradictory results of the Challenge Hypothesis.
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Context-dependent specialisation drives temporal dynamics in intra- and inter-individual variation in foraging behaviour within a generalist bird population
Jan M. Baert,Jan M. Baert,Eric Stienen,Frederick Verbruggen,Nico Van de Weghe,Luc Lens,Wendt Müller +6 more
TL;DR: It is found that breeding birds, unlike non-breeding ones, did indeed alter their foraging behaviour during the breeding season, and suggests a complex interplay between intrinsic competitive constraints, resource reliability and shifting time-and energy budges in shaping temporal dynamics in individual niche variation within the study population.
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Sensitive plant (Mimosa pudica) hiding time depends on individual and state.
TL;DR: Models designed to predict plasticity in animal behavior may be successfully applied to understand behavior in other organisms, including plants, after it was found that overall condition best explains variation in sensitive plant antipredator behavior.
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An experimental test of changed personality in butterflies from anthropogenic landscapes
TL;DR: It is found that boldness and activity traits correlate in urban butterflies, while there is no such syndrome in woodland and agricultural butterflies, showing that urbanization can alter some aspects of personality in an insect species, but the prediction that anthropogenic habitats favour boldness is not supported.
Casanovas are liars: behavioral syndromes, sperm competition risk, and the evolution of deceptive male mating behavior in
TL;DR: In this article, the authors investigated ten poeciliid species (in two cases including multiple populations) and found support for their hypothesis as mean sexual activity correlated positively with the occurrence of potentially deceptive behavior.
References
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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
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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.