MSc by Asja Bernd: “Mind the Gap: A Global Analysis of Grassland Fragmentation using MODIS Land Cover Data”

MSc by Asja Bernd: “Mind the Gap: A Global Analysis of Grassland Fragmentation using MODIS Land Cover Data”

April 15, 2015

AsjaBernd_MSc_GlobalChangeEcology_org_2015_resizedeast_africa_af_areaThe MSc thesis by Asja Bernd titled “Mind the Gap: A Global Analysis of Grassland Fragmentation using MODIS Land Cover Data” is handed in. Very interesting results on global grassland fragmentation. Read the abstract:

Around the world, grassland and savannah ecosystems are under intense anthropogenic use, yet research has not given them much attention. One significant threat is fragmentation, reducing habitat connectivity and hindering species dispersal. Using MODIS land cover data from 2012, combined with infrastructure data derived from VMAP0 and OpenStreetMap, I assessed the fragmentation of grasslands on a global scale. The metrics applied were patch size, distance to the euclidean nearest neighbour and number of neighbours per patch. To quantify the contribution of human pressure to fragmentation, the results were correlated with the Human Influence Index and human population density. For subsets, selected from the Global 200 Ecoregions, I analysed land cover data from 2001 and 2012 to determine
trends over time. Globally, grasslands are highly fragmented by infrastructure, which reduced patch size by more than 50 %, and significantly increased isolation. Human pressure seems to act as a driver of fragmentation, diminishing patch size and the number of neighbours, while increasing the distance to neighbours. For the subsets, results varied, but two of three metrics indicated an increase in fragmentation between 2001 and 2012. In the face of declining migrations of terrestrial mammals and increasing human pressure, a better understanding of the effects of fragmentation is needed to develop adequate management and protection strategies.

Supervisor: Prof. Neil Burgess and Dr. Martin Wegmann

follow us and share it on:

you may also like:

Remote sensing insights into biogas flowering mixtures

Remote sensing insights into biogas flowering mixtures

Perennial wildflower mixtures are gaining importance as an alternative to maize in biogas production. As highlighted in the praxis-agrar article on crop diversification with biogas flowering mixtures, they combine agricultural use with clear ecological benefits....

PhD submitted by Julia Rieder

PhD submitted by Julia Rieder

We are pleased to share that our PhD student Julia Rieder has successfully submitted her doctoral thesis! Her dissertation, entitled “Abiotic and biotic drivers of drought responses in European beech (Fagus sylvatica L.) inferred from field and LiDAR data”,...

New Funded Project on Automated Detection of Mining Areas

New Funded Project on Automated Detection of Mining Areas

In a newly launched research project funded by the KSB Foundation, we focus on the automated identification of mining areas based on remote sensing data. The aim is to systematically detect large-scale mining activities and to track their spatial and temporal...

Share This