RESEARCH PROJECT

Key Performance Indicators – Biodiversity in Production Forests

Updated: January 2026

Project overview

The official name of the project:
Key Performance Indicators (KPI)
Project start: January 2020
Project manager: Jörgen Sjögren
Contact: Jörgen Sjögren
Funded by: Projektet finansieras av Formas och Knut och Alice Wallenbergs Stiftelse.

More related research

Short summary

The project Key Performance Indicators (KPI) examines how biodiversity in production forests can be effectively measured, evaluated, and monitored through scientifically robust and cost-efficient indicators.

Retention forestry, where living and dead trees are left at harvest, is a widely used conservation practice in northern Europe. However, its long-term effects on biodiversity are still not fully understood. The KPI project compares retention patches, clearcuts, and set-asides to assess how forest structure and management influence biodiversity across multiple taxa, from lichens and fungi to bryophytes and beetles.

By combining ecological field data, biodiversity surveys, and statistical analyses, the project aims to identify which indicators best reflect forest biodiversity and how these can be applied in sustainable forest management.

More specific research areas

Long-term effects of retention forestry

The project explores 30-year effects of retention forestry on biodiversity compared to both clearcuts and uncut forests. We focus on structural and compositional differences and their ecological consequences.

Forest structure and patch characteristics

We examine whether larger and more structurally diverse retention patches are more effective in conserving biodiversity. Variables such as deadwood amount, tree species composition, and microclimate are key components.

Identifying biodiversity KPIs

A central aim is to determine the most informative and cost-effective Key Performance Indicators for biodiversity in production forests. Potential indicators include deadwood volume, habitat heterogeneity, and species community composition.

Comparing indicators across forest types and taxa

We evaluate whether the same indicators apply to different forest types, regions, and species groups—or if biodiversity monitoring needs to be tailored to specific conditions.

Collaboration and impact

The KPI project is a collaboration between SLU, the Natural Resources Institute Finland (LUKE), Uppsala University, and Stora Enso, with contributions from researchers across ecology, forest management, and conservation science.

By identifying practical yet scientifically grounded indicators, the project provides tools for forest companies, authorities, and policymakers to evaluate how well biodiversity objectives are met in managed forests.

Results from the KPI project contribute directly to the development of evidence-based sustainability metrics, supporting Sweden’s and the EU’s goals for sustainable forestry and biodiversity-positive production landscapes.

 

Publications:

Jones, F., Hardenbol, A., Hekkala, A.-M., Jönsson, M., Koivula, M., Larsson Ekström, A., Strengbom, J., Sjögren. J. (2025) Partitioning beta diversity at two spatial resolutions reveals biotic homogenisation with habitat degradation. DIVERSITY AND DISTRIBUTIONS doi: 10.1111/ddi.70080 

Larsson Ekström, A., Hardenbol, A., Hekkala, A.-M., Jones, F., Jönsson, M., Koivula, M., Strengbom, J., Sjögren, J. (2025) Habitat heterogeneity as a context-dependent predictor of biodiversity in boreal forests. FOREST ECOLOGY AND MANAGEMENT doi: 10.1016/j.foreco.2025.122858

Bild av skog
Picture of forest

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