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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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Journal ArticleDOI

The Power of Physiology in Changing Landscapes: Considerations for the Continued Integration of Conservation and Physiology

TL;DR: Five major investigations common to environmental and ecological physiology that can contribute directly to the progression of the field of conservation physiology are outlined, including combining multiple measures of physiology and behavior and linking physiological variables with fitness metrics.
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Body length rather than routine metabolic rate and body condition correlates with activity and risk-taking in juvenile zebrafish Danio rerio.

TL;DR: It is suggested that body length is associated with risk‐related behaviours in juvenile D. rerio for which larger, rather than smaller, individuals may have a higher risk of predation, while the role for routine metabolic rate is relatively limited or non‐existent, at least under the conditions of the present study.
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Fast–slow life history is correlated with individual differences in movements and prey selection in an aquatic predator in the wild

TL;DR: The link between individual behavioural differences and fast-slow life-history traits under ecologically relevant conditions is demonstrated and individuals with faster juvenile growth were found to stay active for a longer time during the adult stage.
Journal ArticleDOI

Residual correlations, and not individual properties, determine a nest defense boldness syndrome

TL;DR: P phenotypic evidence is insufficient to demonstrate syndrome covariance in the tawny owl, and the low individual-level correlations did not constrain the capacity of the population to respond to evolution as quantified by average autonomy (a metric summarizing evolutionary constraint on multiple traits).
Journal ArticleDOI

Environmental heterogeneity and population differences in blue tits personality traits.

TL;DR: A 5-year study reveals that blue tits breeding in different habitats differ in personality and in life-history characteristics, such as adult survival probability, suggesting behavior and life- history traits have coevolved in a local adaptation process.
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.