Division of Forest and Forest Resources
A Decision Support System for emerging forest management alternatives
Active
Last updated: 17.10.2025
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.
Project participants
Marta Vergarechea Stefano Puliti Christian Kuehne Ignacio Sevillano Paul McLean Aksel Granhus Kobra Maleki| Start - end date | 01.01.2025 - 01.01.2027 |
| Project manager | Nicolas Cattaneo |
| Division | Division of Forest and Forest Resources |
| Department | Forest Operations and Digitalization |