M.Sc. handed in on animal movement and remote sensing

M.Sc. handed in on animal movement and remote sensing

March 1, 2017

The M.Sc. thesis “Can animal movement and remote sensing data help to improve conservation efforts?” by Matthias Biber M.Sc. student within the Global Change Ecology program handed in his thesis. He explored the potential of remote sensing data to explain animal movement patterns and if these linkages can help to improve conservation efforts. He used Zebra as study animal in Southern and Eastern Africa. The second supervisor of his M.Sc. was Prof. Thomas Müller from BIK-F.

 

abstract:
Climate and land-use change have a growing influence on the world’s ecosystems, in particular in Africa, and increasingly threaten wildlife. The resulting habitat loss and fragmentation can impede animal movement, which is especially true for migratory species. Ungulate migration has declined in recent years, but its drivers are still unclear. Animal movement and remote sensing data was combined to analyse the influence of  various vegetation and water indices on the habitat selection of migratory plains zebras in Botswana’s Ngamiland. The study area experienced a more or less steady state in normalised difference vegetation index (NDVI) over the last 33 years. More than half of the study area was covered by PAs. NDVI increased stronger in PAs compared to areas that were not protected. NDVI was always higher in the Okavango Delta  compared to the Makgadikgadi Pans. Although zebras are thought to select for areas with high NDVI, they experienced a lower NDVI in the Makgadikgadi grasslands during wet season. Step selection functions (SSFs) showed that NDVI derived from Landsat as well as NDVI derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) were significant drivers of habitat selection across all individuals. Migration  seems to be driven by the high nutritional value of the Makgadikgadi grasslands and not seasonal resource limitation. Landsat imagery was shown to provide different environmental information compared to MODIS data. This highlights not only the importance of NDVI for explaining animal movement, but also the importance of Landsat imagery for monitoring habitat extent and fragmentation. Incorporating the animal’s  behavioural state and memory into SSFs will help to improve our ecological understanding of animal movement in the future.

you may also like:

EcoGlob interdisciplinary research with Univ. Bayreuth

EcoGlob interdisciplinary research with Univ. Bayreuth

In the last years our EcoGlob team at the Earth Observation research cluster established various new cooperation with colleagues from the University of Bayreuth as well as the University of Würzburg. One of these numerous activities was the UAS/UAS/drone based...

Training on new UAS system

Training on new UAS system

Last week some of our UAS team members went for a training on the new Quantum System Trinity Pro and its various sensors. A full day of theoretical and practical training on the new system got our colleagues prepared for upcoming field missions. The Trinity Pro is our...

Master Thesis Defense by Nora Nieskens

Master Thesis Defense by Nora Nieskens

On September 08, 2023, Nora Nieskens successfully defended her master's thesis entitled "Estuaries in transition: Earth observation-based analysis of the turbidity dynamics in selected North Sea estuaries" at the Earth Observation Research Cluster.   The thesis...