LAUMA will characterize the multiple climate risks to boreal forests, explore their interactions and compound effects and finally identify the best management strategies and policy directions to enhance the climate resilience of forests.
The project is centered on developing decision-support tools tailored to a type of forest management planning called individual tree selection while balancing objectives of profitability and biodiversity.
INFORM aims to create high-resolution wildfire risk maps by using data collected by teams of autonomous robots, such as drones and ground vehicles, equipped with advanced sensors and AI-based decision-making systems.
ROOTS is an interdisciplinary humanities project that addresses the issue of forest heritage across the Nordic nations and seeks to build sustainable forest heritage futures.
The goal of RE-FOREST is to improve our understanding of how forest management affects water resources and to find sustainable solutions for the future.
This project aims to investigate how seasonal water availability affects tree growth, water quality, and biodiversity in drained hemiboreal forests, and whether simple, low-cost adaptive drainage solutions can help mitigate these impacts.
