The multi-faceted Swedish Heureka forest decision support system: context, functionality, design, and 10 years experiences of its use
Research article (Peer reviewed)
Tomas Lämås
Department of Forest Resource Management
Email: Tomas.Lamas@slu.se
ORCID: 0000-0002-2837-4501
Publications
2023
Spatial aspects in the Heureka forest decision support system – an overview
Report
How is hierarchical forest planning affected by a combination of uncertain information and contradicting goals
Conference abstract
Handling uncertainties in forest information: the hierarchical forest planning process and its use of information at large forest companies
Research article (Peer reviewed)
Perceptions of uncertainty in forest planning: contrasting forest professionals? perspectives with the latest research
Review article (Peer reviewed)
2022
Will intensity of forest regeneration measures improve volume production and economy?
Review article (Peer reviewed)
Osäkra data i hierarkisk skoglig planering: Kartläggning av datakvalité och osäkerhetsstrategier
Conference poster
The use of uncertain information in the hierarchical forest planning process
Conference abstract
Improving dynamic treatment unit forest planning with cellular automata heuristics
Research article (Peer reviewed)
2021
Predicting bilberry yields using ALS and other auxiliary data combined with NFI field plots
Conference paper (Peer reviewed)