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Determining Effects of Area Burned and Fire Severity on Carbon Cycling and Emissions in Siberia
Authors:Susan G Conard  Anatoly I Sukhinin  Brian J Stocks  Donald R Cahoon  Eduard P Davidenko  Galina A Ivanova
Institution:(1) USDA Forest Service, Washington, D.C, 20250, U.S.A;(2) Sukachev Forest Institute, Russian Academy of Sciences, Krasnoyarsk, 660036, Russia;(3) Canadian Forest Service, Sault Ste. Marie, Ontario, P6A5M7, Canada;(4) Terra Systems Research, 2740 Linden Ln., Williamsburg, Virginia, 23185, U.S.A;(5) Avialesookhrana, Pushkino, Moscow Region, 141200, Russia
Abstract:The Russian boreal forest contains about 25% of the global terrestrial biomass, and even a higher percentage of the carbon stored in litter and soils. Fire burns large areas annually, much of it in low-severity surface fires – but data on fire area and impacts or extent of varying fire severity are poor. Changes in land use, cover, and disturbance patterns such as those predicted by global climate change models, have the potential to greatly alter current fire regimes in boreal forests and to significantly impact global carbon budgets. The extent and global importance of fires in the boreal zone have often been greatly underestimated. For the 1998 fire season we estimate from remote sensing data that about 13.3 million ha burned in Siberia. This is about 5 times higher than estimates from the Russian Aerial Forest Protection Service (Avialesookhrana) for the same period. We estimate that fires in the Russian boreal forest in 1998 constituted some 14–20% of average annual global carbon emissions from forest fires. Average annual emissions from boreal zone forests may be equivalent to 23–39% of regional fossil fuel emissions in Canada and Russia, respectively. But the lack of accurate data and models introduces large potential errors into these estimates. Improved monitoring and understanding of the landscape extent and severity of fires and effects of fire on carbon storage, air chemistry, vegetation dynamics and structure, and forest health and productivity are essential to provide inputs into global and regional models of carbon cycling and atmospheric chemistry.
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