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Towards powerful experimental and statistical approaches to study intraindividual variability in labile traits

Mitchell, David J., Fanson, Benjamin G., Beckmann, Christa and Biro, Peter A. 2016, Towards powerful experimental and statistical approaches to study intraindividual variability in labile traits, Royal society open science, vol. 3, no. 10, Article number : 160352, pp. 1-10, doi: 10.1098/rsos.160352.

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Title Towards powerful experimental and statistical approaches to study intraindividual variability in labile traits
Author(s) Mitchell, David J.
Fanson, Benjamin G.
Beckmann, ChristaORCID iD for Beckmann, Christa orcid.org/0000-0002-7904-7228
Biro, Peter A.ORCID iD for Biro, Peter A. orcid.org/0000-0002-3565-240X
Journal name Royal society open science
Volume number 3
Issue number 10
Season Article number : 160352
Start page 1
End page 10
Total pages 10
Publisher Royal Society Publishing
Place of publication London, Eng.
Publication date 2016-10
ISSN 2054-5703
Keyword(s) behavioural plasticity
behavioural predictability
behavioural syndrome
multiple burst
repeatability
residual model
Summary There is a long-standing interest in behavioural ecology, exploring the causes and correlates of consistent individual differences in mean behavioural traits ('personality') and the response to the environment ('plasticity'). Recently, it has been observed that individuals also consistently differ in their residual intraindividual variability (rIIV). This variation will probably have broad biological and methodological implications to the study of trait variation in labile traits, such as behaviour and physiology, though we currently need studies to quantify variation in rIIV, using more standardized and powerful methodology. Focusing on activity rates in guppies (Poecilia reticulata), we provide a model example, from sampling design to data analysis, in how to quantify rIIV in labile traits. Building on the doubly hierarchical generalized linear model recently used to quantify individual differences in rIIV, we extend the model to evaluate the covariance between individual mean values and their rIIV. After accounting for time-related change in behaviour, our guppies substantially differed in rIIV, and it was the active individuals that tended to be more consistent (lower rIIV). We provide annotated data analysis code to implement these complex models, and discuss how to further generalize the model to evaluate covariances with other aspects of phenotypic variation.
Language eng
DOI 10.1098/rsos.160352
Field of Research 050203 Environmental Education and Extension
050199 Ecological Applications not elsewhere classified
Socio Economic Objective 970105 Expanding Knowledge in the Environmental Sciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2016, The Authors
Persistent URL http://hdl.handle.net/10536/DRO/DU:30089936

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Created: Mon, 05 Dec 2016, 13:45:29 EST

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