Bird Migration Lab – University of Copenhagen

Biodiversity > Bird Migration Lab

 

Welcome to the MATCH project: Migration in a changing world

Self-powered, fast and long-distance movement enables migratory birds to ultimately track seasonal changes across the rotating earth. Difficulties in following migrating birds over longer distances, have limited our knowledge of drivers and control of the ecological and evolutionary important phenomenon of migration.

Using satellite-based tracking systems, we study how small, long-distance migrants are able to ensure arrival to suitable winter and stopover grounds at the appropriate time of the year.

The ultimate goal is being able to predict migrants' capability to cope with climate change. This include studying important ecological phenomena such as seasonal carry-over effects and migratory connectivity as well as the inherited migration program, focussing on consistency and precision, interaction between the inherited program and external cues, navigational abilities and constraints posed on migrants.

The 4-year project is funded through a Sapere Aude: DFF-Starting Grant from the Danish Council for Independent Research (DFF).

We are part of the DG Center for Macroecology, Evolution and Climate Change at the Natural History Museum of Denmark, University of Copenhagen

Research

Publications

Most recent publications:

Sjöberg S, Pedersen L, Malmiga G, Alerstam T, Hansson B, Hasselquist D, Thorup K, Tøttrup A, Andersson A, Bäckman J (2018) Barometer logging reveals new dimensions of individual songbird migration. J Avian Biol 49: e01821

Snell KRS, Stokke BG, Moksnes A, Thorup K, Fossøy F (2018) From Svalbard to Siberia: Passerines breeding in the High Arctic also endure the extreme cold of the Western Steppe. PLoS ONE 13(9): e0202114

Heim W, Pedersen L, Heim R, Thomas A, Smirenski SM, Tøttrup AP, Thorup K (2018) Full annual cycle tracking of a small songbird, the Siberian Rubythroat, along the East Asian flyway. Journal of Ornithology 159: 893–899

Full publication list

Methodology