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2026Canadian Journal of Forest Research

Pre-fire forest type as an integrated indicator of long-term post-fire aboveground biomass recovery in boreal forests

Jiaojiao Diao; Xinyuan Wei; Lei Ma

Numerical modellingFireSustainabilityNumerical
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Abstract

As the largest terrestrial biome, boreal forests play a critical role in the global carbon cycle, support diverse wildlife habitats, and sustain timber production, while wildfires represent a major natural disturbance shaping their function. Understanding post-fire aboveground biomass (AGB) recovery is essential for predicting long-term ecosystem functions. In this study, we tracked post-fire AGB trajectories over a 71-year period for 332 fire events in Wood Buffalo National Park, Canada. We evaluated AGB recovery across four pre-fire forest types dominated by black spruce, jack pine, white spruce, and deciduous tree species. Our results suggest substantial variation in post-fire AGB recovery rates, with the fastest AGB accumulation observed in forests dominated by deciduous species (57 gC/m 2 /year), followed by white spruce (39 gC/m 2 /year) and jack pine (36 gC/m 2 /year), and the slowest recovery occurring in forests dominated by black spruce (21 gC/m 2 /year). These differences primarily reflect the site-productivity gradient, with pre-fire forest type serving as an integrated indicator of species composition, fire behavior, and regeneration strategy. Recognizing the distinct recovery trajectories among forest types is important for understanding long-term ecosystem functions and for assessing boreal forest resilience under increasingly frequent and severe fire regimes. Moreover, our findings suggest that pre-fire forest type serves as a practical, integrated indicator of post-fire biomass recovery rates, providing valuable insights for boreal forest fire management and ecosystem modeling.

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Reference

Jiaojiao Diao; Xinyuan Wei; Lei Ma. (2026). Pre-fire forest type as an integrated indicator of long-term post-fire aboveground biomass recovery in boreal forests. Canadian Journal of Forest Research. https://doi.org/10.1139/cjfr-2026-0207

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