Digital Forest

Develop a near real-time forest monitoring concept and capitalize on latest advances in AI for predicting major impacts of climate extremes.


Deliver practical tools for researchers and improve data availability for environmental studies/ecology.

Contrasting and Interacting Changes in Simulated Spring and Summer Carbon Cycle Extremes in European Ecosystems

Climate extremes have the potential to cause extreme responses of terrestrial ecosystem functioning. However, it is neither straightforward to quantify and predict extreme ecosystem responses, nor to attribute these responses to specific climate …

Carbon Cycle Extremes during the 21st Century in CMIP5 Models: Future Evolution and Attribution to Climatic Drivers

Climate extremes such as droughts and heat waves affect terrestrial ecosystems and may alter local carbon budgets. However, it still remains uncertain to what degree extreme impacts in the carbon cycle influence the carbon cycle-climate feedback both …