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About us
Our team is interested in how land ecosystems, climate change and land-use change interact globally and regionally.
We explore through a range of modelling approaches challenges and solutions to sustainable development arising from land system dynamics. We are based at the Campus Alpin of the Karlsruhe Institute of Technology, located in the town of Garmisch-Partenkirchen in Southern Germany.
Registrations are now open for the third part of the Machine Learning for Earth Systems Modelling series. Team member Carolina is teaching in the module "Extreme Events", focusing on the application of machine learning to wildfire danger prediction. The course begins on October 5, 2026.
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From September 7-9, we hosted our colleagues from Karlsruhe for a meeting in Garmisch-Partenkirchen to review research progress across the work packages, coordinate near-term priorities, and discuss ongoing work in the WOW project (WOW – a World model of Our World). Between sessions, the team enjoyed the scenic mountain setting with walks around the campus.
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The dual challenges of climate change and biodiversity loss now demand that ecosystem models capture far greater complexity to address questions at the intersection of climate, land, humans, and biodiversity. Earlier this summer, Almut and colleagues published a perspective paper discussing future directions, highlighting critical processes currently missing from dynamic global vegetation models. Including, for example, better representation of land management, land use decision-making, and improved biological realism. They also identified new opportunities to address these gaps through emerging data sources and methods.
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