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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

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
Project manager Nicolas Cattaneo
Division Division of Forest and Forest Resources
Department Forest Operations and Digitalization