The most erroneous stories are those we think we know best - and therefore never scrutinize or question.
The goal of our research is to improve our ability to effectively manage and conserve wildlife and their habitats. We strongly believe that conservation management needs to be based on adequate scientific information, which can only be obtained by analyzing relevant data from well-designed studies with the most reliable and powerful analytical approaches.
We are particularly interested in the effects of environmental complexity and human activities on individual movement and mating behavior in terrestrial wildlife species, and on resulting consequences for eco-evolutionary population dynamics, biodiversity and ecosystem functions.
Hence, our research combines multiple ecological and evolutionary topics (from individual behavior to meta-population dynamics), spatial scales (from fine-scale movement to broad-scale connectivity) and levels of biodiversity (genetics to ecosystems).
Our research also combines a variety of data types (genetic data, location data from GPS-collars, estimates of population demography) with computer-intensive statistical methods (integral projections models, individual-based simulations) and novel conceptual approaches (movement ecology, landscape genetics).
Please see the descriptions below for more details on some of our current projects.