WBF2026-426, updated on 10 Mar 2026
https://doi.org/10.5194/wbf2026-426
World Biodiversity Forum 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Oral | Wednesday, 17 Jun, 11:30–11:45 (CEST)| Room Aspen 1
Measuring Forest Degradation in Disturbance-Driven Ecosystems: Reconciling Perspectives
Eliot McIntire1 and the Predictive Ecology group at the Canadian Forest Service*
Eliot McIntire and the Predictive Ecology group at the Canadian Forest Service
  • 1Canadian Forest Service, Natural Resources Canada, Victoria, BC, Canada, eliot.mcintire@nrcan-rncan.gc.ca
  • *A full list of authors appears at the end of the abstract

Forest degradation is increasingly recognized as a critical concept for assessing forest integrity and guiding sustainable forest management. It is also gaining prominence in international trade discussions, where some jurisdictions use degradation indicators to inform decisions about the origin and sourcing of wood products. However, applying this concept to ecosystems shaped by natural disturbances—such as boreal and temperate forests—presents unique challenges. These ecosystems exhibit high variability in structure and composition, making static benchmarks inadequate for evaluating integrity and potentially leading to misinterpretation of natural dynamics as degradation.

We present a methodology for assessing biodiversity indicators of forest degradation in Canadian boreal and temperate forests. Our approach establishes dynamic baselines that incorporate the variability that would occur without industrial activity and without climate change, enabling a more ecologically grounded interpretation of change. We compare these baselines to current conditions and projected future states under different management and disturbance scenarios. 

Our analysis situates these findings within global efforts to define and operationalize forest degradation. We contrast our approach with frameworks developed by non-governmental organizations and other governments, highlighting areas of convergence and divergence. While our results broadly align with standards for Sustainable Forest Management, they differ from approaches emphasizing concepts such as “intactness,” which may oversimplify ecological dynamics in disturbance-driven systems. Importantly, these differences have policy implications for international trade, as sourcing decisions based on simplified indicators risk misrepresenting the ecological integrity of forests managed under disturbance-adapted regimes. This underscores the need for internationally harmonized definitions that reflect ecological realities rather than static assumptions.

By reconciling these perspectives, our work contributes to a more nuanced understanding of forest degradation and supports evidence-based decision-making for biodiversity conservation and sustainable resource use. Our approach offers a pathway for integrating ecological science into global policy frameworks, ensuring that trade and management practices align with the dynamic nature of forest ecosystems.

Predictive Ecology group at the Canadian Forest Service:

Allen Larocque, Jonathan Van Elslander, Sourav Das, Rory McInnes, Parvin Kalantari, Ian Eddy, Lisa Venier, Ben Filewod, Graham Stinson

How to cite: McIntire, E. and the Predictive Ecology group at the Canadian Forest Service: Measuring Forest Degradation in Disturbance-Driven Ecosystems: Reconciling Perspectives, World Biodiversity Forum 2026, Davos, Switzerland, 14–19 Jun 2026, WBF2026-426, https://doi.org/10.5194/wbf2026-426, 2026.