Leonard Hammer handed in his B.Sc. thesis on “explaining spatial patterns of stork movements using remote sensing data”. He used stork data from the Lake Constance region and applied species distribution models on different behavioral states (nesting, feeding etc.) using Landsat TimeScan data. This data set provides temporal metrics for the last years, such as max, min and variance of the NDVI. Moreover, he tested different model performances and scaling effects and found partly that lower resolution data resulted in more sounds results. He was supervised by R. Remelgado and Dr. Martin Wegmann
New publication explores how forest structure shapes beetle communities
A new peer-reviewed publication investigates how between-patch heterogeneity and old-growth forest attributes influence the structure of beetle metacommunities in temperate forests. The study, led by Dr. Oliver Mitesser from the Biology Department, combines...








