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.
Antonio José Castañeda-Gómez shows how UAV-measured forest structural complexity can differentiate forest treatment at NSO-GfÖ 2026
Last week, Antonio José Castañeda-Gómez, PhD student at the EORC, showed his research at the joint NSO-GfÖ 2026 ecology conference, presenting on the use of multi-sensor UAV data to characterise forest structural complexity along silvicultural treatment gradients in...
