Division of Forest and Forest Resources
A Decision Support System for emerging forest management alternatives

Active
Last updated: 09.05.2025
End: jan 2027
Start: jan 2025
End: jan 2027
Start: jan 2025
This project aims to develop advanced tree growth models using LiDAR-derived, high-density point cloud data to improve the simulation of forest dynamics under close-to-nature silvicultural practices. By modeling tree-level growth in structurally complex and heterogeneous stands, these models will support more accurate, spatially explicit forest simulations and inform sustainable and diversified forest management decisions.
Start - end date | 01.01.2025 - 01.01.2027 |
Division | Division of Forest and Forest Resources |
Department | Forest Operations and Digitalization |