Objective (Subject)	AI-based analysis and modeling of succession and reforestation measures after large-scale disturbances for climate-adapted and digitized forest management (subproject in the joint project RECOVER)
Content	The subproject aims to develop a basis for estimating the probability of establishment of tree regeneration and for modeling its mortality risk. Based on an average mortality rate derived from NW-FVA long-term study sites, the mortality model to be developed will reflect the effects of extreme weather and climate conditions. In addition to statistical modeling, the drought resistance of various tree species will also be analyzed from a plant physiology perspective.
Appropriation period	01.05.2025 to 31.10.2027
Funded by	Federal Ministry for the Environment, Nature Conservation, Nuclear Safety, and Consumer Protection
Partners	Northwest German Forest Research Institute, Technical University of Berlin (Geoinformation in Environmental Planning and AI and Land Use Change), Luftbild Umwelt Planung GmbH, University of Freiburg (AG Wildlife Ecology and Conservation Biology)
Persons in charge	Dr. Sharath Paligi
Publications	not available so far