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.
From Abandonment to Opportunity: Alexander V. Prishchepov Discusses Global Land Abandonment at the EORC
What are the main drivers and global patterns of farmland abandonment? How can remote sensing help address the challenges of studying farmland abandonment? In what ways might abandoned farmland contribute to biodiversity conservation and carbon reduction? These...






