AniMove summerschool 2016

AniMove summerschool 2016

January 11, 2016

zebra_wegmannThe AniMove summerschool in 2016 takes place in Germany, Lake Konstanz at MPI-O. It is a joint activity lead by Kamran Safi from MPI-O and Martin Wegmann from the Department of Remote Sensing together with colleagues from BIK-F, Smithsonian and others.

Animal movement is critical for maintenance of ecosystem services and biodiversity. The study of complex movement patterns and of the factors that control such patterns is essential to inform conservation research and environmental management. Technological advances have greatly increased our ability to track, study, and manage animal movements. But analyzing and contextualizing vast amounts of tracking data can present scientific, computational, and technical challenges that require scientists and practitioners to master new skills from a wide range of computational disciplines.

AniMove, a collective of international researchers with extensive experience in these topics, teaches a two-week intensive training course for studying animal movement. This two-week course focuses on interdisciplinary approaches linking animal movement with environmental factors to address challenging theoretical and applied questions in conservation biology. To achieve this, participants will acquire significant skills in computational ecology, movement data pre-processing and analysis, modeling, remote sensing and Geographic Information Systems (GIS).

During Week 1, participants learn new skills through lectures and hands-on exercises in data collection, management, analysis and modeling approaches. During Week 2, participants work in alone or in small groups on projects with datasets provided by course participants or instructors. Participants are encouraged to bring their own data and research questions to be addressed by themselves or by one of the working groups.

– See more at: http://animove.org/courses/2016-mpi

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