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

[Text] / N. M. Tchebakova, E. I. Parfenova, A. J. Soja // Reg. Envir. Chang. - 2011. - Vol. 11, Is. 4. - P817-827, DOI 10.1007/s10113-011-0210-4. - Cited References: 65. - This study was supported by grant #10-05-00941 of the Russian Foundation for Basic Research and NASA Research Opportunities in Space and Earth Sciences (ROSES) 2009 InterDisciplinary Science (IDS) 09-IDS09-0116. . - 11. - ISSN 1436-3798РУБ Environmental Sciences + Environmental Studies

Аннотация: Regional Siberian studies have already registered climate warming over the last several decades. We evaluated ongoing climate change in central Siberia between 1991 and 2010 and a baseline period, 1961-1990, and between 1991 and 2010 and Hadley 2020 climate change projections, represented by the moderate B1 and severe A2 scenarios. Our analysis showed that winters are already 2-3A degrees C warmer in the north and 1-2A degrees C warmer in the south by 2010. Summer temperatures increased by 1A degrees C in the north and by 1-2A degrees C in the south. Change in precipitation is more complicated, increasing on average 10% in middle latitudes and decreasing 10-20% in the south, promoting local drying in already dry landscapes. Hot spots of possible forest shifts are modeled using our Siberian bioclimatic vegetation model and mountain vegetation model with respect to climate anomalies observed pre-2010 and predicted 2020 Hadley scenarios. Forests are predicted to shift northwards along the central Siberian Plateau and upslope in both the northern and southern mountains. South of the central Siberian Plateau, steppe advancement is predicted that was previously non-existent north of 56A degrees N latitude. South of 56A degrees N, steppe expansion is predicted in the dry environments of Khakasiya and Tyva. In the southern mountains, it is predicted that the lower tree line will migrate upslope due to increased dryness in the intermontane Tyvan basins. The hot spots of vegetation change that are predicted by our models are confirmed by regional literature data.

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Держатели документа:
[Tchebakova, N. M.
Parfenova, E. I.] Russian Acad Sci Academgorodok, VN Sukachev Inst Forest, Siberian Branch, Krasnoyarsk 660036, Russia
[Soja, A. J.] NASA Langley Res Ctr, Natl Inst Aerosp, Hampton, VA 23681 USA

Доп.точки доступа:
Tchebakova, N.M.; Parfenova, E.I.; Soja, A.J.

[Text] / V. I. Kharuk [et al.] // Int. J. Remote Sens. - 2003. - Vol. 24, Is. 1. - P23-37, DOI 10.1080/0143116021000021143. - Cited References: 30 . - 15. - ISSN 0143-1161РУБ Remote Sensing + Imaging Science & Photographic Technology

Аннотация: In this paper NOAA AVHRR data acquired at the Sukachev Institute of Forest in Siberia, Russia is evaluated for forest management mapping applications. First a classification of the entire 1000 km x 3000 km transect was performed, but was found to be too general to be of value. More useful interpretation procedures require a landscape-ecological approach. This means that computer classification should be made separately for segments of territory based ecologically distinct regions. This segmentation of the transect into ecological regions was found to improve the level of detail available in the classification. Using this approach AVHRR data were found to be adequate for small scale mapping at the level of vegetation types or plant formations. A limited study using AVHRR data for classification of mountainous regions showed that AVHRR-derived maps were more detailed than existing landscape maps. AVHRR derived classifications also compared favourably to larger scale forest management maps of softwood and hardwood forests. Current forest management in Siberia relies on very small-scale inventory maps. Thus, there is a potential role for AVHRR (or Terra) data for northern Siberian forest monitoring. The southern forests of the Yenisey meridian (below the 57th parallel) are less uniform due to considerable human activity, and NOAA/AVHRR data will play a subordinate role in its monitoring.

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Держатели документа:
Sukachev Inst Forest, Krasnoyarsk, Russia
NASA, Goddard Space Flight Ctr, Biospher Sci Branch, Greenbelt, MD 20771 USA

Доп.точки доступа:
Kharuk, V.I.; Ranson, K.J.; Burenina, T.A.; Fedotova, E.V.

[Text] / E. A. Kukavskaya [et al.] // Environ. Res. Lett. - 2013. - Vol. 8, Is. 4. - Ст. 45034, DOI 10.1088/1748-9326/8/4/045034. - Cited References: 43. - The authors gratefully acknowledge financial support for this research from the National Aeronautics and Space Administration (NASA), the Land Cover Land Use Change (LCLUC) Science Program, the Russian Foundation for Basic Research (grant No. 12-04-31258), and the Russian Academy of Sciences, Siberian Branch. The authors would like to thank the three anonymous reviewers for their helpful comments and useful suggestions. . - 11. - ISSN 1748-9326РУБ Environmental Sciences + Meteorology & Atmospheric Sciences

Аннотация: The Russian boreal zone supports a huge terrestrial carbon pool. Moreover, it is a tremendous reservoir of wood products concentrated mainly in Siberia. The main natural disturbance in these forests is wildfire, which modifies the carbon budget and has potentially important climate feedbacks. In addition, both legal and illegal logging increase landscape complexity and affect burning conditions and fuel consumption. We investigated 100 individual sites with different histories of logging and fire on a total of 23 study areas in three different regions of Siberia to evaluate the impacts of fire and logging on fuel loads, carbon emissions, and tree regeneration in pine and larch forests. We found large variations of fire and logging effects among regions depending on growing conditions and type of logging activity. Logged areas in the Angara region had the highest surface and ground fuel loads (up to 135 t ha(-1)), mainly due to logging debris. This resulted in high carbon emissions where fires occurred on logged sites (up to 41 tC ha(-1)). The Shushenskoe/Minusinsk and Zabaikal regions are characterized by better slash removal and a smaller amount of carbon emitted to the atmosphere during fires. Illegal logging, which is widespread in the Zabaikal region, resulted in an increase in fire hazard and higher carbon emissions than legal logging. The highest fuel loads (on average 108 t ha(-1)) and carbon emissions (18-28 tC ha(-1)) in the Zabaikal region are on repeatedly burned unlogged sites where trees fell on the ground following the first fire event. Partial logging in the Shushenskoe/Minusinsk region has insufficient impact on stand density, tree mortality, and other forest conditions to substantially increase fire hazard or affect carbon stocks. Repeated fires on logged sites resulted in insufficient tree regeneration and transformation of forest to grasslands. We conclude that negative impacts of fire and logging on air quality, the carbon cycle, and ecosystem sustainability could be decreased by better slash removal in the Angara region, removal of trees killed by fire in the Zabaikal region, and tree planting after fires in drier conditions where natural regeneration is hampered by soil overheating and grass proliferation.

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Держатели документа:
[Kukavskaya, E. A.
Ivanova, G. A.
Zhila, S. V.] Russian Acad Sci, Siberian Branch, VN Sukachev Inst Forest, Krasnoyarsk 660036, Russia
[Buryak, L. V.
Kalenskaya, O. P.] Siberian State Technol Univ, Krasnoyarsk 660049, Russia
[Conard, S. G.] US Forest Serv, Rocky Mt Res Stn, Missoula, MT 59807 USA
[Conard, S. G.] George Mason Univ, Fairfax, VA 22030 USA
[McRae, D. J.] Canadian Forest Serv, Nat Resources Canada, Sault Ste Marie, ON P6A 2E5, Canada
ИЛ СО РАН

Доп.точки доступа:
Kukavskaya, E.A.; Buryak, L.V.; Ivanova, G.A.; Conard, S.G.; Kalenskaya, O.P.; Zhila, S.V.; McRae, D.J.; National Aeronautics and Space Administration (NASA); Land Cover Land Use Change (LCLUC) Science Program; Russian Foundation for Basic Research [12-04-31258]; Russian Academy of Sciences, Siberian Branch

/ E. Ponomarev, O. Masyagina, K. Litvintsev [et al.] // Forests. - 2020. - Vol. 11, Is. 8. - Ст. 790, DOI 10.3390/f11080790. - Cited References:57. - This work was performed using the subject of a project no. 0356-2019-0009, research was funded by the Russian Foundation for Basic Research (RFBR) and Government of the Krasnoyarsk krai, and Krasnoyarsk krai Foundation for Research and Development Support, 18-41-242003 "Modeling and satellite monitoring of effects from thermal anomalies of the underlying surface in the STL of the permafrost zone of Siberia". . - ISSN 1999-4907РУБ Forestry

Аннотация: We examined and simulated the consequences of the degradation of the litter and the moss-lichen layer after fire impact, which could affect the seasonal temperature of the soil and the depth of the seasonally thawed layer (STL) in the permafrost zone. According to the analysis of satellite imagery for 2000 to 2019, the fire-disturbed area in the region of interest amounted to 20%. The main aims of the study included quantitative evaluation of the variation range of summer temperature anomalies at fire-damaged plots, summarizing the statistical norm of the STL depending on natural conditions, and numerical simulation of the response of the STL. Using Terra and Aqua/MODIS imagery, we analyzed surface temperature (in bands of lambda = 10.780-11.280 and 11.770-12.270 mu m) coupled with the normalized difference vegetation index (NDVI) for non-disturbed and fire-damaged sites under the same natural conditions of larch forests in Central Siberia. Heat transfer, freezing and thawing processes were numerically simulated for two extreme cases of soil conditions: dry soil and water-saturated soil. The model was also applied to soil with non-homogeneous water content. As input parameters, we used data on the properties of cryogenic soils collected in larch forests (Larix gmelinii) in the flat-mountainous taiga region of the Evenkia (Central Siberia). For post-fire plots, surface temperature anomalies observed during summer months remained significant for more than 15-20 years after fire impact, while the NDVI values were restored to the statistical norm within 7-10 years of the fire. According to the results of numerical simulation, the thickness of the STL could show a 30-50% increase compared to the statistical norm. In the first approximation, we showed the annual soil temperature dynamics at various depths in disturbed and non-disturbed plots.

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Держатели документа:
Russian Acad Sci, Fed Res Ctr Krasnoyarsk Sci Ctr, Siberian Branch, VN Sukachev Inst Forest SB RAS, Krasnoyarsk 660036, Russia.
Siberian Fed Univ, Inst Engn Phys & Radioelect, Inst Ecol & Geog, Krasnoyarsk 660041, Russia.
Russian Acad Sci, Kutateladze Inst Thermophys, Siberian Branch, Novosibirsk 630090, Russia.

Доп.точки доступа:
Ponomarev, Evgenii; Masyagina, Oxana; Litvintsev, Kirill; Ponomareva, Tatiana; Shvetsov, Evgeny; Finnikov, Konstantin; Evgenii, Ponomarev; Russian Foundation for Basic Research (RFBR)Russian Foundation for Basic Research (RFBR) [0356-2019-0009]; Government of the Krasnoyarsk krai; Krasnoyarsk krai Foundation for Research and Development Support [18-41-242003]