Population biology, micro- and macroevolution

  • Phone+46462223702, +46462224206
  • Visiting addressShow on map

    Ekologihuset, Kontaktvägen 10

    223 62 Lund

    Sweden

  • Postal addressShow on map

    Ekologihuset, Kontaktvägen 10

    223 62 Lund

    Sweden

Unit profile

Description

The research group explore the interface between ecology and evolution, using methods from evolutionary ecology, quantitative genetics and phylogenetic comparative methods. We are quantitative biologists working in natural populations and are interested in linking micro- and macroevolution.

Research

Our research is integrative and focussed on the interface between evolution and ecology of phenotypes in natural populations. One major goal of our research is to connect microevolutionary processes on short time scales with macroevolutionary diversification on longer time scales. We explore various central topics in ecology and evolution, including natural and sexual selection in the wild, the evolutionary dynamics discrete visual phenotypic polymorphisms (e. g. colour polymorphisms), frequency-dependent evolutionary dynamics, the evolution of reproductive isolation, quantitative genetics of trait evolution, canalization and phenotypic plasticity. We also study the evolution of thermal adaptation and thermal plasticity. Our research is theory-based and we use various modelling tools, ranging from classical population genetics to simulation models. However, we are also empiricists and rely on our strong tradition of field experiments in natural settings or in mesocosms.

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):

  • SDG 13 - Climate Action
  • SDG 14 - Life Below Water
  • SDG 15 - Life on Land

Collaborations the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or