Quantifying individual variation in behaviour: mixed‐effect modelling approaches
Max Planck Institute for Ornithology · Ludwig-Maximilians-Universität München · +1 more institution
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…
Citation impact
- FWCI
- 91.71
- Percentile
- 100%
- References
- 76
Authors
2Topics & keywords
- Variation (astronomy)
- Ecology
- Variance (accounting)
- Quantitative genetics
- Mixed model
- Terminology
- Explained variation
- Evolutionary ecology