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.
Help Us Understand Ticks: Join the MONID HABITRACK Study
Lyme borreliosis and tick-borne encephalitis (TBE) are the most common tick-borne diseases in Germany, and they are becoming more relevant. Many infections go unnoticed because they cause mild symptoms or none at all. The MONID HABITRACK project, funded by the BMFTR,...







