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Natural sciences
- Climate change
- Remote sensing
- Ecophysiology and ecomorphology
- Terrestrial ecology
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Agricultural and food sciences
- Forest protection
- Forestry management and modelling
The project aims to increase our knowledge of post-disturbance recovery in the Congo Basin rainforests, by addressing uncertainties in the regional carbon balance. Investigating the impact of environmental factors and land-use history on recovery rates, the consortium integrates on-the-ground observations with satellite remote sensing, utilizing UAV monitoring. A key objective is the development of calibrated Land Surface Models. The outcome will be a state-of-the-art monitoring tool and reference model to assess landscape-level recovery dynamics. The project aligns with global climate and biodiversity conventions, providing policymakers with critical insights for sustainable land management. Additionally, it contributes to local capacity building and African scientist training.