Evolutionary biology

Evolutionary biology

The aim of this research area is to improve our understanding of phenotypic evolution in fluctuating environments.

Photo: Øystein H. Opdeal

Main questions

  • How does age structure of natural population affect the evolutionary response to selection when accounting for demographic stochasticity?
  • How does density-dependent selection affect phenotypic evolution in fluctuating environments?
  • Does the rate of phenotypic evolution depend on the position of the species along the slow-fast continuum of life history variation?
  • How are the different components of phenotypic variation affected by fluctuating selection?
  • How does correlation among traits affect the evolutionary response of complex characters?

We use both theoretical and empirical approaches to answer these questions, combining field observations with experimental approaches on various model systems. The research area has five research groups.

Projects

Projects

  • Evolutionary responses to variable and unpredictable environments
  • Inbreeding depression in nature - the genetic architecture, environment and immunity
  • DNA methylation and its role in regulating seasonal timing of reproduction and phenotypic plasticity
  • Knowledge Based Non-Stationary Modeling.

Statistics and stochastic modelling

Statistics and stochastic modelling

Aim: To develop theories for the dynamics of populations, phenotypes and communities in fluctuating environments.

Adaptations to (un)predictable change

Adaptations to (un)predictable environmental change

Aim: To explore adaptive evolution in fluctuating environments.

Evolutionary dynamics of quantitative traits

Evolutionary dynamics of quantitative traits

Aim: To develop and test models on the effects of the genetic architecture of complex characters on their evolutionary dynamics in fluctuating environments.

Modelling behaviour in stochastic environments

Modelling behaviour in stochastic environments

Aim: To use modelling to explore behavioural strategies and plasticity in stochastic environments 

Linking ecological and genetic dynamics

Linking ecological and genetic dynamics

Aim: To improve our understanding of interactions between ecological and genetic dynamics.