Asja Bernd started her MSc on ” A Global Analysis of Grassland Fragmentation” supervised by Neil Burgess (UNEP) and Martin Wegmann. She will use globally available land cover data sets and compute a variety of spatial metrics to derive the fragmentation pattern of grasslands. Methods available in R and GRASS will be applied to allow a semi-automatic global analysis. Asja is a student in the Global Change Ecology MSc program and well trained in journalism as well as natural sciences.
Würzburger Förderpreis awarded to our URBAN:Pulse project
“A remote sensing scientist, a social geographer, an informatics researcher, a sports researcher, a psychologist, a linguist and an economist meet ... what sounds like the start of a joke, was the start of a great interdisciplinary research project.” That’s how Hannes...







