Division of Forest and Forest Resources
BioPhenom
Multifunctional biophenols for safe and recyclable materials
Projects
NIBIO is a project driven research institute and collects approximately 400 million NOK annually in project funding from both national and international sources. A lot of activity is carried out through EU and EEA-projects and we also participate in research projects in Asia, Africa and Latin America. NIBIO coordinates several large international projects with a particular focus on food security and climate change. The list of projects is not complete.
Division of Food Production and Society
AquaUP - Aquafeed Upgraded: Enhancing Immune Function of Fish with Seaweed-modified Functional Compounds
The aquaculture industry is anticipating intensive production growth to meet future food demand. Yet, this growth is constrained by a number of challenges, not least including disease spread and use of antibiotics and chemicals to combat or reduce disease outbreaks.
Division of Survey and Statistics
Mitigation and Adaptation in Cultural Heritage Landscapes: Lessons from Transhumant Pastoral Systems for Managing Novel Climate Risks (PastAdapt)
Cultural landscapes provide essential ecological and sociocultural services and contain insights needed to combat climate change, but they are vulnerable to climate change and other stressors. By examining the cultural landscapes of transhumant pastoralism in France, Norway, and Spain, we will detail climate and other threats to this intangible cultural heritage (ICH), the characteristics and factors that create adaptive capacity in these systems, and methods for sustaining ICH through community action and policy.
Division of Forest and Forest Resources
A Decision Support System for emerging forest management alternatives
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.