Movement Ecology Group

Mueller Lab

From basic everyday foraging behaviors to extraordinary long-distance migrations, movements are essential processes in the life-histories of animals. Many animals’ movements also provide key ecosystem functions, such as pollination or seed dispersal, and are thus critical for biodiversity as a whole. Our group studies both the theoretical and applied aspects of movement ecology, from the behavioral underpinnings and social interactions to macro-ecological patterns. We are particularly interested in understanding the interactions between moving animals and their environment, which is especially critical for conserving biodiversity in anthropogenically changing landscapes.

We are based at the Senckenberg Biodiversity and Climate Research Centre and the Department of Biological Sciences at the Goethe University in Frankfurt am Main, Germany. Our projects are funded through the Robert Bosch Foundation, the Humboldt Foundation, the Goethe University, and Senckenberg, among others.

Dr. Thomas Mueller – Group Lead

Dr. Chloe Bracis, Postdoctoral Researcher, Memory and Cognition in Animal Movement
Dr. Marjorie Sorensen, Postdoctoral Researcher, Ecosystem Functions of Moving Animals
Dr. Marlee Tucker, Postdoctoral Researcher, Macroecology of Animal Movement
Nandintsetseg Dejid, PhD Student, Nomadism, Landscape Permeability, and Conservation
Theresa Stratmann, PhD Student, Linking Motion Capacity to Carrying Capacity
Felix Günther – Masters Student, Interactions among Grazing, Vegetation Dynamics, and Climate
Claire Teitelbaum – Student, Social Behavior and Population-level Movements


This year we will be hosting an AniMove course at BiK-F from Dec. 5-16, 2016.

Short Course Description:
AniMove Fundamentals: Fundamentals of Animal Movement Analysis is offered as a two-week professional training course, that targets students, researchers and conservation practitioners that have collected animal relocation data and want to learn basic techniques how to analyze these data. This course differs from the regular AniMove course in providing more introduction to R (though participants are expected to have a basic familiarity) and provides a more structured curriculum throughout both course weeks. Course participants will have the opportunity to apply learned techniques to their own data during the course but won’t undertake independent research projects as in the regular AniMove course.

For more information on this course, please visit: http://animove.org/courses/2016-bikf/