Abstract
The study of behavioural variation and covariation has become very popular in the last decade.
And yet the evolutionary tools used to understand how selection and genetic and environmental
variation shape individual difference in behaviours remain underused. In this thesis I seek to
advance the study of animal personality using the tools of multivariate selection analysis,
phenotypic plasticity and quantitative genetics.
Here I studied multiple behavioural traits in two water strider (Heteroptera:Gerridae)
species, Tenagogerris euphrosyne and Gerris gracilicornis, and examined individual variation
in behaviour and behavioural plasticity over time and across situations. I also estimated
multivariate linear and nonlinear sexual selection on behavioural traits and on individual
behavioural plasticity. Under scramble competition, water strider males differed in their sexual
behaviours and their plasticity across social contexts (Chapter 2). The level of age-related
behavioural plasticity also varied according to the type of behaviours and rearing environments
(Chapter 3). Individual variation in behavioural plasticity over time or across situations
significantly affected individual fitness (Chapter 2 and 3). However, with the exception of
same-sex behaviour of males, there was little genetic variation in behavioural plasticity across
development conditions (Chapter 4).
I then tested the hypotheses that correlated behaviours (i.e. behavioural syndrome)
evolve via correlational selection when certain behavioural combinations enjoy greater fitness
than others. I found that current patterns of correlational selection were not likely to drive or
maintain the observed correlations underpinning the behavioural syndrome (Chapter 5- 7).
While much can be learned about behavioural syndromes and variation in behaviours
by resolving the basis of behavioural plasticity, a more complete understanding of how
behavioural variation and covariation arise might be provided by focusing on physiological and
genetic mechanisms as well as contemporary patterns of multivariate selection.