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Report2023Open access

A comparison of the ForestMan AI software with the Heureka system regarding forest growth simulations and carbon calculations

Eriksson, Ola; Johansson, Ulf; Subramanian, Narayanan


The purpose of this study is to evaluate the reliability of the forest growth simulations and carbon calculations of the ForestMan AI forest planning system. The ForestMan AI software is developed by and the property of Skogr Kaupa Group AB. ForestMan AI is based on the ProdMod model from SLU and carbon calculations according to methodologies recommended by the IPCC in Guidelines for National Greenhouse Gas Inventories reporting.

The Heureka system calculations are used as benchmark for the evaluation. Heureka is a planning system that has been developed over more than 20 years and has found extensive use in both research and among forest companies. The Heureka system calculations is used as the basis for evaluation since it can be considered state-of-the-art with respect to forest research and because it is also used for assessments for the Swedish reporting of greenhouse gas emissions.

The evaluation is based on the data from a forest estate in the Halland county. The estate encompasses 2.037 ha and has spruce as dominating species. It is, by and large, representative of forest in the region.

The evaluation shows ForestMan AI to perform growth projections and the associated carbon stock assessment to agree to a great extent. No major deviations between the outputs of the systems are identified.

The result of the study can be used as a basis for further development of standards for evaluating forest planning systems. Carbon as a commodity represents an emerging branch of forestry. Furthermore, it is the quantity to report by financial institutions and forest owners in Climate Benefit Analyses (CBA) mandated by the EU Taxonomy. Thus, it is crucial that different actors, SMEs (Small, Medium Enterprises) and others, are given access to research in various forms to meet the needs of this emerging branch of forestry.

Published in

Arbetsrapport - Sveriges lantbruksuniversitet, Institutionen för sydsvensk skogsvetenskap
2023, number: 58
Publisher: Southern Swedish Forest Research Centre, Swedish University of Agricultural Sciences