24th - 28th August 2020
All selected applicants will be informed in due time.
Due to Covid-19, this course will take place as an online course. To take part in the course you will need a computer (either private or at your institution), a stable internet connection and equipment to chat. Software can be downloaded from the internet, you will be informed ahead of the workshop, what exactly will be necessary.
Advanced Master students, PhD students and early career scientists from southern Africa and Germany
Selections are based on the submission of the following documents:
Location of the course:
Due to COVID-19, this course take place as an online course.
University of Göttingen/TROPAGS
SPACES Project: SALLnet
Dr. William Nelson and Dr. Gennady Bracho-Mujica
Prof. Dr. Reimund Rötter, Prof. Kingsley Ayisi, Dr. William Nelson, Dr. Gennady Bracho Mujica, Dr. Simon Scheiter, Dr. Mirjam Pfeiffer, Dr. Munir Hoffmann
Course description & primary learning objectives:
Advanced modelling of (agro-) ecosystem services for sustainable rural development under global change Process-based crop simulation models (CSMs) and dynamic vegetation models (DVMs) are considered the best tools to quantify and project the interactions of plant communities, soil, climate and management on ecosystem services (such as biomass production, nutrient cycling and carbon sequestration) under current and future environmental conditions. Joint use of CSMs and DVMs allows to link interactions between different land use types like rangelands and cropland in the rural landscape. The course will introduce students to the principles and advanced application possibilities of these two tools. Both stand-alone mode as well as joint applications will be covered in this course. In case studies for southern African rural landscapes, the models will be applied to explore options for achieving a number of sustainable development goals such as no hunger (SDG2), poverty reduction (SDG1) climate protection (SDG13) or sustainable land management (SDG15).
Primary learning objectives:
Lectures on theory and concepts of mathematical crop and vegetation modelling with exercises to deepen understanding of the underlying process descriptions. Lectures to introduce and group work to deepen the formulations of model simulation experiments, their implementation in specific case studies using existing models and the interpretation of results
Expected learning outcomes:
Language of instruction is English. A certificate on regular participation will be provided.