No photo of Jes Søe Pedersen
19982019

Research activity per year

Personal profile

Current research

Social insects like ants, wasps and bees show a tremendous variation in how their colonies are organised. Some colonies have only a single reproducing female (queen) whereas in others several - even hundreds - of females are reproducing. Sometimes this variation in queen number occurs within the same species or within the same population. My primary research interest is how variation in queen number evolve and how natural selection can maintain systems with many queens, despite the fact that such polygyny lowers the relatedness of workers to the brood they are rearing. To answer these questions a combination of ecological, genetical, behavioural and chemical methods are applied. Current studies focus on so-called "hypersocial" ants having the ability to develop supercolonies of unrelated members and virtually unlimited size. Many of these species are invasive and include notorious pests such as the Argentine ant, the pharaoh's ant, the invasive garden ant, and the common red ant.

Research activities take place within the Centre for Social Evolution funded by the Danish National Research Foundation (Grundforskningsfonden).

Links to Profile Pages

Group homepage
Group Facebook
Google Scholar
ResearcherID
ORCID
ResearchGate
LinkedIn

Teaching Assignments

  • Introductory curriculum course in Population Biology (Populationsbiologi; Bachelordel, 1. år, blok 2), responsible teacher and lecturer. Link to the course description here.
  • Postgraduate course in Invasion Biology (Invasionsbiologi; Kandidatdel, blok 4), responsible teacher and lecturer. Link to the course description here.

Scientific Software

Moilanen, A., Sundström, L. & Pedersen, J.S. (2004) MateSoft: a program for genetic analysis of mating systems 1.0. Institute of Biology, University of Copenhagen, Copenhagen. Available here.

Fingerprint

Dive into the research topics where Jes Søe Pedersen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 6 Similar Profiles