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Open AccessJournal ArticleDOI

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.

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Citations
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Journal ArticleDOI

Temporal overlap and repeatability of feather corticosterone levels: practical considerations for use as a biomarker

TL;DR: It is found that different feathers contained different levels of feather corticosterone, complicating categorization of low- and high-stress individuals.
Journal ArticleDOI

Leveraging multidimensional heterogeneity in resource selection to define movement tactics of animals

TL;DR: A framework for investigating individual variation in movement-defined resource selection that integrates the behavioural and ecological niche concepts is introduced and applied to long-term tracking data of 115 African elephants, illustrating how a behavioural hypervolume can be defined based on differences between individuals and their ecological settings.
Journal ArticleDOI

Exploring patterns of variation in clutch size-density reaction norms in a wild passerine bird

TL;DR: It is shown that females reduced clutch size with increasing population density, differed strongly in their average clutch size at the population‐mean density, and that the latter variation was partly heritable, while level of plasticity is thus not likely to evolve in response to selection in this population.
Journal ArticleDOI

Perceived predation risk affects sleep behaviour in free-living great tits, Parus major

TL;DR: It is demonstrated that individual great tits modify their sleep behaviour in response to changes in predation risk, and ecological factors including exposure to predators, resource availability and reproductive competition may act as significant constraints on natural sleep patterns.
Journal ArticleDOI

The Roles of Sex, Mass and Individual Specialisation in Partitioning Foraging-Depth Niches of a Pursuit-Diving Predator

TL;DR: Niche partitioning in the study population appears to be achieved through the interactive effects of individual specialisation and gender upon vertical foraging patch selection, and has the potential to interact in complex ways with other axes of the niche hypervolume such as foraging locations, timing of foraging and diet.
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

Grüneberg H
- 01 Jul 1960 - 
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

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

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.
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Trending Questions (1)
How does the non-random distribution of behavioural phenotypes affect ecological and evolutionary processes?

The provided paper does not directly address the non-random distribution of behavioural phenotypes and its effects on ecological and evolutionary processes.