Silviculture, Trees and Bioresources
The research group links research on individual trees with forest ecosystems, landscapes and bioresource value chains.
We combine long-term field experiments, national forest monitoring, remote sensing and system analysis to understand forest growth, health, carbon dynamics, biodiversity and resource use.
Our work spans fundamental and applied research, research-based public-sector services and education.
Current priorities are climate adaptation and mitigation, close-to-nature silviculture, forest recovery, robust monitoring methods, sustainable wood use and circular bioeconomy.
The group works with public authorities, forest managers, universities, research networks and industry in Denmark and internationally.
- Silviculture and forest management, including mixed-species and uneven-aged systems
- Climate-change mitigation and adaptation in trees and forests
- Forest recovery, restoration, health and biodiversity
- Long-term monitoring of productivity, carbon stocks and biodiversity indicators
- Remote sensing, LiDAR, machine learning and forest-resource mapping
- Tree biology, dendroecology, wood properties and sustainable use of bioresources
- Forest and wood-resource system analysis, governance and circular bioeconomy
- OptiCForest (2026-2028): Optimizing climate change mitigation of afforestation on agricultural land
- DEADWOOD-DIST (2026-2027): Investigating how the distance from deadwood influences tree regeneration, growth and key Climate-Smart Forestry indicators
- INNO4EST (2022–2026): innovative forests for climate mitigation while integrating biodiversity, nutrient retention and recreation
- National Forest Inventory: ongoing monitoring of forest resources, condition, carbon and other indicators
- Long-term field experiments: evidence on forest growth, management and ecosystem development
- Remote sensing of forest resources: maps combining field observations, LiDAR, satellite data and machine learning
- Oak in future Danish forests (2023–2026)
- GeckoCir (2022–2026): green and circular innovation for Kenyan companies
- Forest health research: Cryphalus abietis, Neonectria, Heterobasidion and bark ecology
Thematic Course
Ecology and Management of Forests and other Semi-natural Ecosystems (MSc, 2026/2027).
The course connects systems ecology, restoration ecology and management through lectures, cases and excursions.
Students analyse ecosystem structure and processes, evaluate degradation and restoration, and develop management strategies.
Within IGN: collaboration on biogeochemistry, biodiversity, restoration, forest genetics, tropical landscapes, geospatial methods and bioresource technology
INFOBIOM – Nordic network for integrated forest resource and biodiversity monitoring
European National Forest Inventory Network
CARISMA - Center of Advanced Research for the innovative use of 3D remote sensing in mapping of forest and landscape attributes based on national forest inventories.
IUFRO – International Union of Forest Research Organisations
Authorities, forest owners, managers, universities, technology partners and industry
Brownell, H., Merriman, N. M. & Nord-Larsen, T. (2026). From parametric models to machine learning: Predicting tree height from national forest inventory data. Forest Ecology and Management, 608, 123594.
Li, S. et al., including Nord-Larsen, T. (2026). Deep learning tree and forest biomass from sub-meter resolution optical imagery. Remote Sensing of Environment, 345, 115539.
Morsing, J. et al., including Raulund-Rasmussen, K. (2026). Multi-taxon biodiversity response to restoration of the riparian zone in coniferous plantation forest. Ecological Engineering, 227, 107969.
Skov, S., Bühler, O. & Thomsen, I. M. (2026). Naturinspireret grenkapning: Skånsom beskæring af store grene. Videnblade Skov og Natur 09.06-23.
Thomsen, I. M., Hedelund, H. M. & Hedelund, J. M. (2026). Naturplejehunde: terrængående sensorer. Videnblade Skov og Natur 09.06-22.
Internal researchers
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Head of Research Group
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Annemarie Bastrup-Birk Senior Researcher ambb@ign.ku.dk +45 35 32 89 36 |