Improving National forest inventory-based carbon stock change estimates for greenhouse gas inVENTories (INVENT)

Forest land in Europe annually sequesters atmospheric carbon comparable to the emissions from the agricultural or industrial process sectors. Despite its importance, the full potential of carbon sequestration on forest land in climate change mitigation strategies is not utilized. In large part, this is due to the high uncertainty of carbon stock change estimates of living biomass and forest mineral soil using current national-level methods. New estimation methods, which increase the spatial resolution of estimates by incorporating existing auxiliary data sources, are required to further mobilize the mitigation potential of forest land in Europe. INVENT will use national forest inventory, spatially-explicit remote sensing, and local forest harvest data to increase the precision and spatial resolution of living biomass estimates. INVENT will use forest and soil inventory data, spatially-explicit remote sensing data, and modeling procedures to increase the accuracy and spatial resolution of forest mineral soil carbon stock change estimates. INVENT will apply the developed methods to quantify the effects of forest mitigation measures at the national and sub-national scales. The derived methods and their application will be demonstrated in national greenhouse gas inventories and in case-studies that strengthen the trans-national exchange of knowledge within the consortium countries of Denmark, Latvia, Norway, and Sweden. The results will demonstrate the general applicability of the derived methods to reduce the uncertainty in living biomass and forest mineral soil carbon estimates in greenhouse gas reporting on forest land.


Norwegian Institute of Bioeconomy Research, (NIBIO), Norway

Dr. Rasmus Astrup
Email: rasmus.astrup[at]

Project partners

Latvian State Forest Research Institute (SILAVA), Latvia

University of Copenhagen (UCPH), Denmark

Swedish University of Agricultural Sciences, Sweden

Total requested funding

1.027.000 €

Project duration

36 months