Труды сотрудников ИЛ им. В.Н. Сукачева СО РАН

/ E. A. Kukavskaya [et al.] // Can. J. For. Res.-Rev. Can. Rech. For. - 2013. - Vol. 43, Is. 5. - P493-506, DOI 10.1139/cjfr-2012-0367. - Cited References: 65. - The authors gratefully acknowledge financial support from the National Aeronautics and Space Administration (NASA), Land Cover Land Use Change (LCLUC), Terrestrial Ecology (TE), and Inter-DiSciplinary (IDS) projects, all of which fall under the Northern Eurasia Earth Science Partnership Initiative (NEESPI) domain; the Institute of International Education, Fulbright Scholar Program; the Russian Foundation for Basic Research (Grant No. 12-04-31258; FGP "Scientific and scientific-pedagogical staff of innovative Russia"; and the Russian Academy of Sciences. . - 14. - ISSN 0045-5067РУБ Forestry

Аннотация: Boreal forests constitute the world's largest terrestrial carbon pools. The main natural disturbance in these forests is wildfire, which modifies the carbon budget and atmosphere, directly and indirectly. Wildfire emissions in Russia contribute substantially to the global carbon cycle and have potentially important feedbacks to changing climate. Published estimates of carbon emissions from fires in Russian boreal forests vary greatly depending on the methods and data sets used. We examined various fire and vegetation products used to estimate wildfire emissions for Siberia. Large (up to fivefold) differences in annual and monthly area burned estimates for Siberia were found among four satellite-based fire data sets. Official Russian data were typically less than 10% of satellite estimates. Differences in the estimated proportion of annual burned area within each ecosystem were as much as 40% among five land-cover products. As a result, fuel consumption estimates would be expected to vary widely (3%-98%) depending on the specific vegetation mapping product used and as a function of weather conditions. Verification and validation of burned area and land-cover data sets along with the development of fuel maps and combustion models are essential for accurate Siberian wildfire emission estimates, which are central to balancing the carbon budget and assessing feedbacks to climate change.

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Держатели документа:
[Kukavskaya, Elena A.
Ponomarev, Evgeni I.
Ivanova, Galina A.] VN Sukachev Inst Forest SB RAS, Krasnoyarsk 660036, Russia
[Soja, Amber J.] Natl Inst Aerosp, Hampton, VA 23666 USA
[Soja, Amber J.] NASA, Langley Res Ctr, Hampton, VA 23681 USA
[Petkov, Alexander P.
Conard, Susan G.] US Forest Serv, USDA, Rocky Mt Res Stn, Missoula, MT 59808 USA
[Conard, Susan G.] George Mason Univ, Fairfax, VA 22030 USA

Доп.точки доступа:
Kukavskaya, E.A.; Кукавская, Елена Александровна; Soja, A.J.; Petkov, A.P.; Ponomarev, E.I.; Пономарев, Евгений Иванович; Ivanova, G.A.; Иванова, Галина Александровна; Conard, S.G.

/ K. Kirillina, E. G. Shvetsov, V. V. Protopopova [et al.] // Environ. Res. Lett. - 2020. - Vol. 15, Is. 3. - Ст. 035009, DOI 10.1088/1748-9326/ab6c6e. - Cited References:49. - The authors gratefully acknowledge financial support from Keio University Doctorate Student Grant-in-Aid Program and Taikichiro Mori Memorial Research Fund. The authors thank the Department of Forestry of Sakha Republic and the regional branch of the Aerial Forest Protection Service for granting access to historical fire data. We also thank two anonymous reviewers for their detailed comments and suggestions. . - ISSN 1748-9326РУБ Environmental Sciences + Meteorology & Atmospheric Sciences

Аннотация: This paper presents an original approach to characterizing historical fire regimes for regions with limited fire data. Fire variables were derived from satellite datasets and regional fire occurrence statistics. They defined the integral elements of a fire regime such as historical trends, spatiotemporal evolution, fire seasonality and causes. Temporal evolution was investigated based on a regime shift detection method developed by Rodionov while changes in the fire regime were analyzed for statistical significance using the Mann-Kendall trend test and Sen's slope estimator. A descriptive analysis was performed to assess fire seasonality, causes, and together formed the basis for this methodology. We validated the proposed approach by assessing historical fire activity in the Sakha Republic (Yakutia), which is one of the most fire-prone regions of Russia. The assessment was conducted with data from the period of 1996-2018. We detected increases in historical fire activity as well as thresholds of change in the fire regime. Changes during the analysis period included lengthening of fire season, increased burned area extent, and extension of peak fire period. Overall, significant changes in the fire regime were detected in the regions strongly affected by warming and increasing anthropogenic alteration.

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Держатели документа:
Keio Univ SFC, Grad Sch Media & Governance, K201,5322 Endo, Fujisawa, Kanagawa 2520882, Japan.
Russian Acad Sci, Siberian Branch, VN Sukachev Inst Forest, Separate Subdiv,FRC,KSC, 50-28 Akad Gorodok, Krasnoyarsk 660036, Russia.
Siberian Fed Univ, 79-10 Svobodny Ave, Krasnoyarsk 660041, Russia.
Russian Acad Sci, Siberian Branch, Inst Biol Problems Cryolithozone, Lenina St 41, Yakutsk 677077, Russia.
Keio Univ SFC, Fac Environm & Informat Studies, 5322 Endo, Fujisawa, Kanagawa 2520882, Japan.
Keio Univ SFC, Fac Environm & Informat Studies, Grad Sch Media & Governance, 5322 Endo, Fujisawa, Kanagawa 2520882, Japan.

Доп.точки доступа:
Kirillina, Kiunnei; Shvetsov, Evgeny G.; Protopopova, Viktoriya V.; Thiesmeyer, Lynn; Yan, Wanglin; Keio University; Taikichiro Mori Memorial Research Fund