Agriculture, forestry and fisheries / Forest management
Stora Enso: Forest management and biodiversity prediction
- Company
- Stora Enso
- Country
- Finland
- Adoption stage
- In operation
- Source published
- Date basis
- The date the source was published. It can differ from the date adoption started.
- How the source was checked
- Checked a source excerpt through a search tool
The work problem
Forest management has to balance timber production with biodiversity conservation. It was hard to know in advance what effect a given management action would have on rare species. A basis for deciding which conservation measures to take first among many was also needed.
Technology and data
Stora Enso turned its entire Nordic forest into a digital twin and uses it for data analysis. With this digital forest twin it simulates forest management actions and predicts the effect on rare species. A joint project with the International Union for Conservation of Nature (IUCN) that began in early 2024 concluded in 2025. In that project it ran a proof of concept attaching the STAR biodiversity metric developed by IUCN to Stora Enso's forest planning system. This framework decides which conservation measures to take first across the forest landscape.
Results
In its 2025 annual report Stora Enso said it moved towards better integration of biodiversity and timber production using AI and other technologies. The company explained that this framework addresses the most urgent threats first and in the most effective way, while minimising negative impact on timber production. The results were prepared with journal publication as the goal and presented at the 2025 IUCN World Conservation Congress.
Limits and open questions
Linking the STAR metric is the result of a proof of concept stage. The source has no figures such as prediction accuracy or area covered.
Sources
- Stora Enso - Annual Report 2025storaenso.com, Accessed
Compiled from public sources. These are not results from ATF Works customers.