Data Integration and Individual Based Modeling

Modeling will be the most important integration tool. The consortium is complemented by two specialist teams for new methods in computer science. They will provide state-of-the-art techniques in individual-based modeling. Calibrated model runs will enable scenarios about savanna dynamics under certain land use and climate scenarios. These scenarios will be scaled by adding remote sensing information (WP4). Furthermore the data achieved in WP1 and WP2 can be used for calibrating remote sensing products. Model predictions and scenarios will be applied for the management of savanna ecosystems inside as well as outside of conservation areas which includes also post-disturbance management and landscape planning in order to minimize the impact of human disturbance and to achieve high resilience.

The application will focus on rural communities and small-scale farming systems as they represent the majority of the African population. Agriculture is still a major income sector as, despite increasing urbanization, the majority of the population still lives in rural areas. The focus will be set on the energy consumption of the people since this field shows the closest connections between the socio-economic demands of the population, the state of savanna ecosystems and the GHG balance of the country.