Assessment of Forest-Stand Destruction by Fires Based on Remote-Sensing Data on the Seasonal Distribution of Burned Areas

Барталев, С.А.; Stytsenko, F.V.

doi:10.1134/s1995425521070027

Cited by 13 publications

(18 citation statements)

References 3 publications

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“…Our field‐based estimates of fire‐induced tree mortality were higher than remote sensing‐based estimates of mortality across all northeastern Eurasian boreal forests (∼62%), Eurasian larch forests (∼50%) (Rogers et al., 2015), and the eastern and northeastern Siberian taiga ecoregions (67%) (Shuman et al., 2017). These results support previous analyses that show that fires are more lethal in larch forests than in other Siberian forest types (Bartalev & Stytsenko, 2021; Lupyan et al., 2022), and that fire‐induced tree mortality is higher in northern regions of Siberia (Krylov et al., 2014), including both our subarctic and Arctic sites. Our results indicate that fires in Siberian larch forests result in high mortality, despite larch having traits associated with fire resistance (e.g., high leaf moisture and self‐pruning of lower branches) and low canopy closure (Kharuk et al., 2011; Rogers et al., 2015; Sofronov & Volokitina, 2010; Wirth, 2005).…”

Section: Resultssupporting

confidence: 91%

Fire‐Induced Carbon Loss and Tree Mortality in Siberian Larch Forests

Webb,

Alexander,

Paulson

et al. 2024

Geophysical Research Letters

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Climate change is intensifying the fire regime across Siberia, with the potential to alter carbon combustion and post‐fire carbon re‐accumulation trajectories. Few field‐based estimates of fire severity (e.g., carbon combustion and tree mortality) exist in Siberian larch forests (Larix spp.), which limits our ability to project how an intensified fire regime will affect regional and global climate feedbacks. Here, we present field‐based estimates of fire‐induced tree mortality and carbon loss in eastern Siberian larch forests. Our results suggest that fires in this region result in high tree mortality (means of 83% and 76% at Arctic and subarctic sites, respectively). In both absolute and relative terms, aboveground carbon loss following fire is higher in Siberian larch forests than in North America, but belowground carbon loss is considerably lower. This suggests fundamental differences in wildfire behavior and carbon dynamics between dominant vegetation types across the boreal biome.

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Section: Resultssupporting

confidence: 91%

Fire‐Induced Carbon Loss and Tree Mortality in Siberian Larch Forests

Webb,

Alexander,

Paulson

et al. 2024

Geophysical Research Letters

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“…This decomposition rate is low because of the low temperature and short growing season 66 relative to tropical forests. Stand-replacing fire is the main cause of natural tree die-off in Siberia 16,67 , increasing the carbon stock of CWD (including dead standing and fallen trees) but meanwhile consuming CWDC. More specifically, the carbon loss from CWDCtot was assumed to be induced by decomposition and combustion by stand-replacing fire.…”

Section: Agctotmentioning

confidence: 99%

Siberian carbon sink reduced by forest disturbances

et al. 2022

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Siberian forests are generally thought to have acted as an important carbon sink over recent decades, but exposure to severe droughts and fire disturbances may have impacted their carbon dynamics. Limited available forest inventories mean the carbon balance remains uncertain.Here we analyse annual live and dead above-ground carbon changes derived from low-frequency passive microwave observations from 2010 to 2019. We find that during this period, the carbon balance of Siberian forests was close to neutral, with the forests acting as a small carbon sink of +0.02 +0.01 +0.03 PgC yr −1 . Carbon storage in dead wood increased, but this was largely offset by a decrease in live biomass. Substantial losses of live above-ground carbon are attributed to fire and drought, such as the widespread fires in northern Siberia in 2012 and extreme drought in eastern Siberia in 2015. These live above-ground carbon losses contrast with 'greening' trends seen in leaf area index over the same period, a decoupling explained by faster post-disturbance recovery of leaf area than live above-ground carbon. Our study highlights the vulnerability of large forest carbon stores in Siberia to climate-induced disturbances, challenging the persistence of the carbon sink in this region of the globe.

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“…Applying the dNBR threshold [14,21] for the highest-severity fires (Table 2), we have clarified the proportion of stand-replacement fires in the region, which is a very important characteristic of current and future fire regimes. Available estimate [9,16] suggests that up to 30% of burned forests of the region are killed by high-severity fire annually. However, the previously published estimate does not take into account the variability associated with the resistance/vulnerability of certain forest-forming species [4,31,32] to fires in Siberian boreal forests.…”

Section: Discussionmentioning

confidence: 99%

“…Satellite data are important for determining the degree of forest disturbance [8,9], for calculating direct fire emissions [10], monitoring the post-fire state of soils [11,12], and vegetation cover and their restoration [13,14]. Of particular interest is the problem of identifying post-fire mortality and restoration of tree stands.…”

Section: Introductionmentioning

confidence: 99%

“…Of particular interest is the problem of identifying post-fire mortality and restoration of tree stands. Satellite resources can be used to estimate the share of stand-replacement fires [9,15]. According to estimates of Krylov et al, up to one-third of the annual areas of fires in Siberia are accompanied by the subsequent complete loss of the stand and long-term post-fire successions [16].…”

Section: Introductionmentioning

confidence: 99%

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Classification of Fire Damage to Boreal Forests of Siberia in 2021 Based on the dNBR Index

Пономарев

Zabrodin

Ponomareva

2022

Fire

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Wildfire in Siberia is extensive, affecting up to 15 Mha annually. The proportion of the vegetation affected by severe fires is yet unknown, and it is a problem that requires a solution because post-fire mortality of tree stands in Siberian taiga has a strong effect on the global budget of carbon. The impact of fire in our area of interest in eastern Siberia was analyzed using the normalized burn ratio (NBR) and its pre- versus post-fire difference (dNBR) applied to Landsat-8 (OLI) collected in 2020–2021. In this paper, we present the classification of fire impact in relation to dominant tree stands and vegetation types in boreal forests of eastern Siberia. The dNBR of post-fire plots ranged widely (0.30–0.60) in homogeneous larch (Larix sibirica, L. gmelinii) forests, pine (Pinus sylvestris) forests, dark coniferous stands (Pinus sibirica, Abies sibirica, Picea obovata), sparse larch stands, and Siberian dwarf pine (Pinus pumila) stands. We quantified the proportions of low, moderate, and high fire severity (37%, 39%, and 24% of the total area burned, respectively) in dense tree stands, which were varied to 30%, 57%, and 13%, respectively, for sparse stands and tundra vegetation dominated in the north of eastern Siberia. The proportion of severe fires varied according to the transition from dominant larch stands (33.2% of the area burned) to pine (12.6%) and dark coniferous (up to 26.4%). The current proportion of stand-replacement fires in eastern Siberia is 12–33%, depending on vegetation type and tree density, which is about 2500 thousand hectares in 2021 in the region. According to our findings, the “healthy/unburned vegetation” class was quantified as well at least 700 thousand hectares in 2021.

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Assessment of Forest-Stand Destruction by Fires Based on Remote-Sensing Data on the Seasonal Distribution of Burned Areas

Cited by 13 publications

References 3 publications

Fire‐Induced Carbon Loss and Tree Mortality in Siberian Larch Forests

Fire‐Induced Carbon Loss and Tree Mortality in Siberian Larch Forests

Siberian carbon sink reduced by forest disturbances

Classification of Fire Damage to Boreal Forests of Siberia in 2021 Based on the dNBR Index

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