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

/ A.V. Volokitina, T.A. Stone, M.A. Sofronov // The role of boreal forests and forestry in the global carbon budget: Proc. of IBFRA 2000 Conference May 8-12, 2000, Edmonton, Alberta, Canada. - Edmonton : Canadian Forest Service, Natural Resources Canada, Northern Forestry Centre, 2002. - С. 249-260

Держатели документа:
Институт леса им. В.Н. Сукачева Сибирского отделения Российской академии наук : 660036, Красноярск, Академгородок 50/28

Доп.точки доступа:
Stone, T.A.; Стоун Т.А.; Sofronov, Mark Adrianovich; Софронов, Марк Адрианович; Волокитина, Александра Витальевна

: материалы временных коллективов / C. C. Schmullius, C. Thiel, M. A. Korets // Boreal forests in a changing world: challenges and needs for action: Proceedings of the International conference Augus,t 15-21 2011, Krasnoyarsk, Russia: V.N. Sukachev Institute of Forest SB RAS, 2011. - Krasnoyarsk : V.N. Sukachev Institute of forest SB RAS, 2011. - С. 395-400. - Библиогр. в конце ст.
Аннотация: ZAPAS investigates and cross validates methodologies using both Russian and European Earth observation data to develop procedures and products for forest resource assessment and monitoring. Earth observation data include ENVISAT MERIS and ASAR in different acquisition modes, METEOR-M and RESURS-DKI. The methodologies include state-of-the-art optical and radar retrieval algorithms as well as investigation of innovative synergistic approaches. Products include biomass change maps for the years 2007-2008-2009 on a local scale, a biomass and improved land cover map on the regional scale, and a 1 km land cover map as input to carbon accounting model.

Держатели документа:
Институт леса им. В.Н. Сукачева Сибирского отделения Российской академии наук : 660036, Красноярск, Академгородок 50/28

Доп.точки доступа:
Schmullius, C.C.; Шмуллиус С.С.; Thiel, C.; Тил С.; Korets, Mikhail Anatol'yevich; Корец, Михаил Анатольевич

/ 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.

/ V. . Ryzhkova, I. . Danilova // Bosque. - 2012. - Vol. 33, Is. 3. - P293-297, DOI 10.4067/S0717-92002012000300011. - Cited References: 15. - This study was supported by Russian Foundation for Basic Research project 10-05-0094, project ZAPAS (Assessment and Monitoring of Forest Resources in the Framework of the EU-Russia Space Dialogue), project 27.32 (Basic Research Program of Presidium RAS) and Interdisciplinary project 14. . - 5. - ISSN 0304-8799РУБ Ecology + Forestry

Аннотация: A method of automated classification and mapping based on a spatial analysis of a digital elevation model (Shuttle Radar Topography Mission (SRTM 90m), Landsat 5-TM imagery, and ground data was applied to classify and map forest site conditions and vegetation on a test site. The vector maps obtained reflected the test site potential environmental conditions, forest types, and regenerating vegetation age stages.

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Держатели документа:
[Ryzhkova, Vera
Danilova, Irina] Russian Acad Sci, Siberian Branch, VN Sukachev Inst Forest, Krasnoyarsk 660036, Russia

Доп.точки доступа:
Ryzhkova, V...; Danilova, I...

/ I. . Danilova, V. . Ryzhkova, M. . Korets // Bosque. - 2012. - Vol. 33, Is. 3. - P359-362, DOI 10.4067/S0717-92002012000300022. - Cited References: 10. - This work was supported by Russian Fundamental Research Foundation Grants 10-05-00941-a, 11-04-98008-P_Siberia_a, Project ZAPAS (Assessment and Monitoring of Forest Resources in the Framework of the EU-Russia Space Dialogue) and project No 27.32 program of the Presidium RAS. . - 4. - ISSN 0304-8799РУБ Ecology + Forestry

Аннотация: This paper presents a description of an algorithm of automated identification of forest regeneration stages using a spatial analysis of Landsat-5 TM imagery and field data. Based on this algorithm, several raster maps were built to show the vegetation regeneration stages in a range of habitat types found in southern Yenisey Siberia.

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Держатели документа:
[Danilova, Irina
Ryzhkova, Vera
Korets, Michael] Russian Acad Sci, Siberian Br, VN Sukachev Inst Forest, GIS Lab, Krasnoyarsk 660036, Russia

Доп.точки доступа:
Danilova, I...; Ryzhkova, V...; Korets, M...

[Text] / D. . Pflugmacher [et al.] // Remote Sens. Environ. - 2011. - Vol. 115, Is. 12. - P3539-3553, DOI 10.1016/j.rse.2011.08.016. - Cited References: 65. - The research was supported by the Land Cover/Land-Use Change Program of the National Aeronautics and Space Administration (grant numbers NNGO6GF54G and NNX09AK88G) and in part by the Asia-Pacific Network for Global Change Research and the Alexander von Humboldt Foundation. We like to thank Dr. Curtis Woodcock for his advice in the early planning of this study, and Gretchen Bracher for preparing graphs. We are also thankful for the comments of two anonymous reviewers that helped to improve this manuscript. . - 15. - ISSN 0034-4257РУБ Environmental Sciences + Remote Sensing + Imaging Science & Photographic Technology

Аннотация: Information on land cover at global and continental scales is critical for addressing a range of ecological, socioeconomic and policy questions. Global land cover maps have evolved rapidly in the last decade, but efforts to evaluate map uncertainties have been limited, especially in remote areas like Northern Eurasia. Northern Eurasia comprises a particularly diverse region covering a wide range of climate zones and ecosystems: from arctic deserts, tundra, boreal forest, and wetlands, to semi-arid steppes and the deserts of Central Asia. In this study, we assessed four of the most recent global land cover datasets: GLC-2000, GLOBCOVER, and the MODIS Collection 4 and Collection 5 Land Cover Product using cross-comparison analyses and Landsat-based reference maps distributed throughout the region. A consistent comparison of these maps was challenging because of disparities in class definitions, thematic detail, and spatial resolution. We found that the choice of sampling unit significantly influenced accuracy estimates, which indicates that comparisons of reported global map accuracies might be misleading. To minimize classification ambiguities, we devised a generalized legend based on dominant life form types (LFT) (tree, shrub, and herbaceous vegetation, barren land and water). LFT served as a necessary common denominator in the analyzed map legends, but significantly decreased the thematic detail. We found significant differences in the spatial representation of LFT's between global maps with high spatial agreement (above 0.8) concentrated in the forest belt of Northern Eurasia and low agreement (below 0.5) concentrated in the northern taiga-tundra zone, and the southern dry lands. Total pixel-level agreement between global maps and six test sites was moderate to fair (overall agreement: 0.67-0.74, Kappa: 0.41-0.52) and increased by 0.09-0.45 when only homogenous land cover types were analyzed. Low map accuracies at our tundra test site confirmed regional disagreements and difficulties of current global maps in accurately mapping shrub and herbaceous vegetation types at the biome borders of Northern Eurasia. In comparison, tree dominated vegetation classes in the forest belt of the region were accurately mapped, but were slightly overestimated (10%-20%), in all maps. Low agreement of global maps in the northern and southern vegetation transition zones of Northern Eurasia is likely to have important implications for global change research, as those areas are vulnerable to both climate and socio-economic changes. (C) 2011 Elsevier Inc. All rights reserved.

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Держатели документа:
[Pflugmacher, Dirk
Krankina, Olga N.
Kennedy, Robert E.
Nelson, Peder] Oregon State Univ, Dept Forest Ecosyst & Soc, Corvallis, OR 97331 USA
[Cohen, Warren B.] US Forest Serv, USDA, Pacific NW Res Stn, Forestry Sci Lab, Corvallis, OR 97331 USA
[Friedl, Mark A.
Sulla-Menashe, Damien] Boston Univ, Dept Geog & Environm, Boston, MA 02215 USA
[Loboda, Tatiana V.] Univ Maryland, Dept Geog, College Pk, MD 20742 USA
[Kuemmerle, Tobias] Potsdam Inst Climate Impact Res PIK, D-14412 Potsdam, Germany
[Dyukarev, Egor] Inst Monitoring Climat & Ecol Syst, Tomsk 634021, Russia
[Elsakov, Vladimir] Russian Acad Sci, Komi Sci Ctr, Inst Biol, Syktyvkar 167610, Russia
[Kharuk, Viacheslav I.] VN Sukachev Inst Forest, Krasnoyarsk, Russia

Доп.точки доступа:
Pflugmacher, D...; Krankina, O.N.; Cohen, W.B.; Friedl, M.A.; Sulla-Menashe, D...; Kennedy, R.E.; Nelson, P...; Loboda, T.V.; Kuemmerle, T...; Dyukarev, E...; Elsakov, V...; Kharuk, V.I.

[Text] / D. . Sulla-Menashe [et al.] // Remote Sens. Environ. - 2011. - Vol. 115, Is. 2. - P392-403, DOI 10.1016/j.rse.2010.09.010. - Cited References: 71. - The research was supported by NASA grant numbers NNG06GF54G and NNX08AE61A. An additional thanks goes to Dr. Bin Tan who was instrumental in implementing the MODIS classification algorithms, and to the rest of the NELDA team for helpful input and discussions. . - 12. - ISSN 0034-4257РУБ Environmental Sciences + Remote Sensing + Imaging Science & Photographic Technology

Аннотация: The Northern Eurasian land mass encompasses a diverse array of land cover types including tundra, boreal forest, wetlands, semi-arid steppe, and agricultural land use. Despite the well-established importance of Northern Eurasia in the global carbon and climate system, the distribution and properties of land cover in this region are not well characterized. To address this knowledge and data gap, a hierarchical mapping approach was developed that encompasses the study area for the Northern Eurasia Earth System Partnership Initiative (NEESPI). The Northern Eurasia Land Cover (NELC) database developed in this study follows the FAO-land Cover Classification System and provides nested groupings of land cover characteristics, with separate layers for land use, wetlands, and tundra. The database implementation is substantially different from other large-scale land cover datasets that provide maps based on a single set of discrete classes. By providing a database consisting of nested maps and complementary layers, the NELC database provides a flexible framework that allows users to tailor maps to suit their needs. The methods used to create the database combine empirically derived climate-vegetation relationships with results from supervised classifications based on Moderate Resolution Imaging Spectroradiometer (MODIS) data. The hierarchical approach provides an effective framework for integrating climate-vegetation relationships with remote sensing-based classifications, and also allows sources of error to be characterized and attributed to specific levels in the hierarchy. The cross-validated accuracy was 73% for the land cover map and 73% and 91% for the agriculture and wetland classifications, respectively. These results support the use of hierarchical classification and climate-vegetation relationships for mapping land cover at continental scales. (C) 2010 Elsevier Inc. All rights reserved.

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Держатели документа:
[Sulla-Menashe, Damien
Friedl, Mark A.
Woodcock, Curtis E.
Sibley, Adam] Boston Univ, Dept Geog & Environm, Boston, MA 02215 USA
[Krankina, Olga N.] Oregon State Univ, Coll Forestry, Dept Forest Sci, Corvallis, OR 97331 USA
[Baccini, Alessandro] Woods Hole Res Ctr, Falmouth, MA 02540 USA
[Sun, Guoqing] NASA, GSFC, Biospher Sci Branch, Greenbelt, MD 20770 USA
[Kharuk, Viacheslav] Acad Gorodok Krasnoyarsk, Sukachev Forest Inst, Forest Ecol & Monitoring Branch, Krasnoyarsk 660036, Russia
[Elsakov, Vladimir] Russian Acad Sci, Inst Biol, Komi Sci Ctr, Syktyvkar 167610, Russia

Доп.точки доступа:
Sulla-Menashe, D...; Friedl, M.A.; Krankina, O.N.; Baccini, A...; Woodcock, C.E.; Sibley, A...; Sun, G.Q.; Kharuk, V...; Elsakov, V...

[Text] / V. I. Kharuk [et al.] // Glob. Ecol. Biogeogr. - 2010. - Vol. 19, Is. 6. - P822-830, DOI 10.1111/j.1466-8238.2010.00555.x. - Cited References: 33. - This research was supported by the NASA Science Mission Directorate, Terrestrial Ecology Program, the Siberian Branch Russian Academy of Science Program no. 23.3.33, and grant no. MK-2497.2009.5. Thanks to Joanne Howl for edits of the manuscript. . - 9. - ISSN 1466-822XРУБ Ecology + Geography, Physical

Аннотация: Aim To evaluate the hypothesis that topographic features of high-elevation mountain environments govern spatial distribution and climate-driven dynamics of the forest. Location Upper mountain forest stands (elevation range 1800-2600 m) in the mountains of southern Siberia. Methods Archive maps, satellite and on-ground data from1960 to 2002 were used. Data were normalized to avoid bias caused by uneven distribution of topographic features (elevation, azimuth and slope steepness) within the analysed area. Spatial distribution of forest stands was analysed with respect to topography based on a digital elevation model (DEM). Results Spatial patterns in mountain forests are anisotropic with respect to azimuth, slope steepness and elevation. At a given elevation, the majority of forests occupied slopes with greater than mean slope values. As the elevation increased, forests shifted to steeper slopes. The orientation of forest azimuth distribution changed clockwise with increase in elevation (the total shift was 120 degrees), indicating a combined effect of wind and water stress on the observed forest patterns. Warming caused changes in the forest distribution patterns during the last four decades. The area of closed forests increased 1.5 times, which was attributed to increased stand density and tree migration. The migration rate was 1.5 +/- 0.9 m year-1, causing a mean forest line shift of 63 +/- 37 m. Along with upward migration, downward tree migration onto hill slopes was observed. Changes in tree morphology were also noted as widespread transformation of the prostrate forms of Siberian pine and larch into erect forms. Main conclusions The spatial pattern of upper mountain forests as well as the response of forests to warming strongly depends on topographic relief features (elevation, azimuth and slope steepness). With elevation increase (and thus a harsher environment) forests shifted to steep wind-protected slopes. A considerable increase in the stand area and increased elevation of the upper forest line was observed coincident with the climate warming that was observed. Warming promotes migration of trees to areas that are less protected from winter desiccation and snow abrasion (i.e. areas with lower values of slope steepness). Climate-induced forest response has significantly modified the spatial patterns of high-elevation forests in southern Siberia during the last four decades, as well as tree morphology.

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Держатели документа:
[Kharuk, Vyacheslav I.
Im, Sergey T.] Sukachev Inst Forest SB RAS, Krasnoyarsk 660036, Russia
[Ranson, Kenneth J.] NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA
[Vdovin, Alexander S.] Siberian Fed Univ, Krasnoyarsk 660041, Russia

Доп.точки доступа:
Kharuk, V.I.; Ranson, K.J.; Im, S.T.; Vdovin, A.S.

[Text] / K. J. Ranson [et al.] // Remote Sens. Environ. - 2004. - Vol. 93, Is. 3. - P283-295, DOI 10.1016/j.rse.2004.06.019. - Cited References: 38 . - 13. - ISSN 0034-4257РУБ Environmental Sciences + Remote Sensing + Imaging Science & Photographic Technology

Аннотация: Monitoring the dynamics of the circumpolar boreal forest (taiga) and Arctic tundra boundary is important for understanding the causes and consequences of changes observed in these areas. This ecotone, the world's largest, stretches for over 13,400 km and marks the transition between the northern limits of forests and the Southern margin of the tundra. Because of the inaccessibility and large extent of this zone, remote sensing data can play an important role for mapping the characteristics and monitoring the dynamics. Basic understanding of the capabilities of existing space borne instruments for these purposes is required. In this study we examined the use of several remote sensing techniques for characterizing the existing tundra-taiga ecotone. These include Landsat-7, MISR, MODIS and RADARSAT data. Historical cover maps, recent forest stand measurements and high-resolution IKONOS images were used for local ground truth. It was found that a tundra-taiga transitional area can be characterized using multi-spectral Landsat ETM+ summer images, multi-angle MISR red band reflectance images, RADARSAT images with larger incidence angle, or multi-temporal and multi-spectral MODIS data. Because of different resolutions and spectral regions covered, the transition zone maps derived from different data types were not identical, but the general patterns were consistent. (C) 2004 Published by Elsevier Inc.

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Держатели документа:
NASA, Goddard Space Flight Ctr, Biospher Sci Branch, Greenbelt, MD 20771 USA
Univ Maryland, Dept Geog, College Pk, MD 20742 USA
Academogorodok, VN Sukachev Inst Forest, Krasnoyarsk, Russia
Sci Syst & Applicat Inc, Lanham, MD USA

Доп.точки доступа:
Ranson, K.J.; Sun, G...; Kharuk, V.I.; Kovacs, K...

[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] / A. V. Volokitina ; ed.: JG Goldammer, , JG Goldamm // FIRE IN ECOSYSTEMS OF BOREAL EURASIA. Ser. FORESTRY SCIENCES : KLUWER ACADEMIC PUBL, 1996. - Vol. 48: International Scientific Conference on Fire in Ecosystems of Boreal Eurasia (JUN-JUL -, 1993, KRASNOYARSK, RUSSIA). - P239-252. - Cited References: 0 . - 14. - ISBN 0-7923-4137-6РУБ Ecology + Forestry


Держатели документа:
RUSSIAN ACAD SCI,VN SUKACHEV INST FORESTRY & TIMBER,SIBERIAN BRANCH,KRASNOYARSK 660036,RUSSIA
Доп.точки доступа:
Volokitina, A.V.; Goldammer, JG \ed.\; Goldamm, , JG \ed.\

[Text] / CSR Neigh [et al.] // Remote Sens. Environ. - 2013. - Vol. 137. - P274-287, DOI 10.1016/j.rse.2013.06.019. - Cited References: 75. - This study was made possible by NASA's Terrestrial Ecology program under grants NNH08ZDA001N-TE and NNH06ZDA001N-CARBON. We also acknowledge the NSERC Discovery Grant to Hank Margolis for contributing partial support for the airborne data collection in Canada. We would like to thank three anonymous reviewers who improved the quality and content of this manuscript. We would also like to thank Sergi Im, Mukhtar Naurzbaev, Pasha Oskorbin, and Marsha Dvinskaya of the Sukachev Institute of Forest and Bruce Cook from the NASA Goddard Space Flight Center for help in collecting field measurements in Siberia. . - 14. - ISSN 0034-4257РУБ Environmental Sciences + Remote Sensing + Imaging Science & Photographic Technology

Аннотация: The boreal forest accounts for one-third of global forests, but remains largely inaccessible to ground-based measurements and monitoring. It contains large quantities of carbon in its vegetation and soils, and research suggests that it will be subject to increasingly severe climate-driven disturbance. We employ a suite of ground-, airborne- and space-based measurement techniques to derive the first satellite LiDAR-based estimates of aboveground carbon for the entire circumboreal forest biome. Incorporating these inventory techniques with uncertainty analysis, we estimate total aboveground carbon of 38 +/- 3.1 Pg. This boreal forest carbon is mostly concentrated from 50 to 55 degrees N in eastern Canada and from 55 to 60 degrees N in eastern Eurasia. Both of these regions are expected to warm >3 degrees C by 2100, and monitoring the effects of warming on these stocks is important to understanding its future carbon balance. Our maps establish a baseline for future quantification of circumboreal carbon and the described technique should provide a robust method for future monitoring of the spatial and temporal changes of the aboveground carbon content. Published by Elsevier Inc.

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Держатели документа:
[Neigh, Christopher S. R.
Nelson, Ross F.
Ranson, K. Jon
Montesano, Paul M.
Sun, Guoqing] NASA, Biospher Sci Lab, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA
[Margolis, Hank A.] Univ Laval, Ctr Etud Foret, Quebec City, PQ G1V 0A6, Canada
[Montesano, Paul M.] Sigma Space Corp, Lanham, MD 20705 USA
[Montesano, Paul M.
Sun, Guoqing] Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA
[Kharuk, Viacheslav] Russian Acad Sci, Sukachev Inst Forest, Krasnoyarsk 660036, Russia
[Naesset, Erik] Norwegian Univ Life Sci, Dept Ecol & Nat Resource Management, NO-1432 As, Norway
[Wulder, Michael A.] Nat Resources Canada, Pacific Forestry Ctr, Canadian Forest Serv, Victoria, BC V82Z 1M5, Canada
[Andersen, Hans-Erik] Univ Washington, US Forest Serv, Pacific NW Res Stn, Seattle, WA 98195 USA

Доп.точки доступа:
Neigh, CSR; Nelson, R.F.; Ranson, K.J.; Margolis, H.A.; Montesano, P.M.; Sun, G.Q.; Kharuk, V...; Naesset, E...; Wulder, M.A.; Andersen, H.E.; NASA [NNH08ZDA001N-TE, NNH06ZDA001N-CARBON]; NSERC Discovery Grant

[Text] / V. I. Kharuk, E. S. Kasischke, O. E. Yakubailik // Int. J. Wildland Fire. - 2007. - Vol. 16, Is. 5. - P556-562, DOI 10.1071/WF05009. - Cited References: 14 . - 7. - ISSN 1049-8001РУБ Forestry

Аннотация: In the 1990s, catastrophic fires affected similar to 8 million ha of forest lands in the Russian Far East, including forests of Sakhalin Island. A study that correlated the spatial distribution of burned area and topographic features (elevation, slope, aspect) was carried out for Sakhalin Island. Burned area information derived from forest inventory maps (1935 to 1990) and satellite imagery (1998) was digitised and entered into a Geographic Information System. The burned area locations were correlated with topographic information; the normalisation procedure allows for analysis of the dependence of the fire scars on landscape features. The analyses show that fires occur primarily on the eastern, south- and north-eastern facing areas; > 90% of fires occur at elevations lower than 300 m, and > 95% occur on slopes < 10 degrees. For the period 1935 to 1998, similar to 54% of the Sakhalin Island forest land territory was burned. From the total area of fire scars, formed from 1935 to 1998, 90.5% occurred owing to single fires, 8.6% of fire scars were the result of burning by two fires, 0.9% of fire scars were from three fires, and 0.03% from four fires. A fire return interval for the study region is similar to 120 years.

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Держатели документа:
Russian Acad Sci, Siberian Branch, Inst Forestry, Krasnoyarsk, Russia
Univ Maryland, Dept Geog, College Pk, MD 20742 USA
Russian Acad Sci, Siberian Branch, Inst Comp Modeling, Krasnoyarsk, Russia

Доп.точки доступа:
Kharuk, V.I.; Kasischke, E.S.; Yakubailik, O.E.

[Text] / V. B. Kashkin [et al.] // Earth Observ. Remote Sens. - 1999. - Vol. 15, Is. 5. - P805-809. - Cited References: 8 . - 5. - ISSN 1024-5251РУБ Geography, Physical + Geosciences, Multidisciplinary + Remote Sensing + Imaging Science & Photographic Technology

Аннотация: Data from the NOAA-12 HIRS radiometer are used to construct maps of the isolines and the surface of total ozone. An optimal Krige procedure is used for conversion from the irregular network to a regular one. Satellite and ground data for Krasnoyarsk are compared and the discrepancy in the estimates amounts to +24 D.u. with correlation coefficient 0.81. The effect of large-scale forest fires on the ground data is noted. A minimum ozone content of 287 D.u. for the satellite data was observed on 14 August in southwest Siberia.

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Держатели документа:
Krasnoyarsk State Univ, Russian Acad Sci, Inst Forest, Siberian Branch, Krasnoyarsk, Russia

Доп.точки доступа:
Kashkin, V.B.; Romas'Ko, V.Y.; Sal'Nikova, O.E.; Sukhinin, A.I.

[Text] / P. E. Tarasov [et al.] // J. Biogeogr. - 1998. - Vol. 25, Is. 6. - P1029-1053, DOI 10.1046/j.1365-2699.1998.00236.x. - Cited References: 140 . - 25. - ISSN 0305-0270РУБ Ecology + Geography, Physical

Аннотация: Fossil pollen data supplemented by tree macrofossil records were used to reconstruct the vegetation of the Former Soviet Union and Mongolia at 6000 years. Pollen spectra were assigned to biomes using the plant-functional-type method developed by Prentice ct al. (1996). Surface pollen data and a modern vegetation map provided a test of the method. This is the first time such a broad-scale vegetation reconstruction for the greater part of northern Eurasia has been attempted with objective techniques. The new results confirm previous regional palaeoenvironmental studies of the mid-Holocene while providing a comprehensive synopsis and firmer conclusions. West of the Ural Mountains temperate deciduous forest extended both northward and southward from its modern range. The northern limits of cool mixed and cool conifer forests were also further north than present. Taiga was reduced in European Russia, but was extended into Yakutia where now there is cold deciduous forest. The northern limit of taiga was extended (as shown by increased Picea pollen percentages, and by tree macrofossil records north of the present-day forest limit) but tundra was still present in north-eastern Siberia. The boundary between forest and steppe in the continental interior did not shift substantially, and dry conditions similar to present existed in western Mongolia and north of the Aral Sea.

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Держатели документа:
Moscow MV Lomonosov State Univ, Dept Geog, Moscow 119899, Russia
Univ Lund, S-22100 Lund, Sweden
Brown Univ, Dept Geol Sci, Providence, RI 02912 USA
Russian Acad Sci, Inst Geog, Moscow 109017, Russia
Moscow MV Lomonosov State Univ, Dept Biol, Moscow 119899, Russia
Ukrainian Acad Sci, Inst Biol, Kiev, Ukraine
Tomsk State Univ, Inst Biol & Biophys, Tomsk 634050, Russia
Fac Sci & Tech St Jerome, CNRS, UA 1152, Lab Bot Hist & Palynol, F-13397 Marseille 20, France
St Petersburg State Univ, Dept Geog & Geoecol, St Petersburg 199178, Russia
Russian Acad Sci, Inst Evolut & Ecol, Moscow 109017, Russia
Russian Acad Sci, Inst Biol, Karelian Branch, Petrozavodsk 185610, Russia
Russian Acad Sci, Forest Inst, Siberian Branch, Krasnoyarsk 660036, Russia
Univ Lund, Dept Plant Ecol, S-22362 Lund, Sweden
Russian Acad Sci, Inst Limnol, St Petersburg 196199, Russia
Georgian Acad Sci, Inst Palaeobiol, GE-380004 Tbilisi, Rep of Georgia
Cent Geol Lab, Moscow, Russia
Russian Acad Sci, Forest Inst, Ural Branch, Ekaterinburg 620134, Russia
Estonian Acad Sci, Inst Geol, EE-0105 Tallinn, Estonia
Russian Acad Sci, Inst Geol, Siberian Branch, Novosibirsk 630090, Russia
Inst Geol Sci, Minsk 220141, Byelarus

Доп.точки доступа:
Tarasov, P.E.; Webb, T...; Andreev, A.A.; Afanas'eva, N.B.; Berezina, N.A.; Bezusko, L.G.; Blyakharchuk, T.A.; Bolikhovskaya, N.S.; Cheddadi, R...; Chernavskaya, M.M.; Chernova, G.M.; Dorofeyuk, N.I.; Dirksen, V.G.; Elina, G.A.; Filimonova, L.V.; Glebov, F.Z.; Guiot, J...; Gunova, V.S.; Harrison, S.P.; Jolly, D...; Khomutova, V.I.; Kvavadze, E.V.; Osipova, I.M.; Panova, N.K.; Prentice, I.C.; Saarse, L...; Sevastyanov, D.V.; Volkova, V.S.; Zernitskaya, V.P.

[Text] / N. M. TCHEBAKOVA, R. A. MONSERUD, D. I. NAZIMOVA // Can. J. For. Res.-Rev. Can. Rech. For. - 1994. - Vol. 24, Is. 8. - P1597-1607, DOI 10.1139/x94-208. - Cited References: 50 . - 11. - ISSN 0045-5067РУБ Forestry

Аннотация: A model for predicting the spatial distribution of the major vegetation zones in Siberia is developed from bioclimatological considerations. Driving variables are growing degree-days (5 degrees C base), Budyko's dryness index, and Conrad's continentality index. Because these indices reflect the underlying climatic factors determining plants' requirements for warmth, drought resistance, and cold tolerance, they define the main features of vegetation zonation. Climatic inputs (monthly mean temperature, precipitation, vapor pressure, cloudiness, and albedo) are obtained from a global climatic database, supplemented by additional weather stations in Siberia; resolution is 0.5 degrees longitude by 0.5 degrees latitude. The performance of the model is examined by comparing our Siberian vegetation predictions with the landscape map of the USSR by Isachenko, a map that was not used for model development. The patterns of vegetation predicted by the Siberian vegetation model generally match well with the vegetation patterns on Isachenko's map. The general locations of all vegetation zones are predicted correctly. This visual impression is also borne out statistically, with K-statistics for judging agreement between the maps showing good agreement (0.55 kappa 0.7) at all scales of comparison (from 0.5 degrees by 0.5 degrees pixels to 5 degrees by 5 degrees blocks of pixels). The model is also useful for estimating the change in equilibrium conditions due to hypothesized events such as CO2-induced global warming, for retrospective comparisons using the paleorecord, and for carbon budget assessment.

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Держатели документа:
UNIV IDAHO,USDA ARS,US FOREST SERV,INTERMT RES STN,MOSCOW,ID 83843
RUSSIAN ACAD SCI,INST FOREST,KRASNOYARSK 660036,RUSSIA

Доп.точки доступа:
TCHEBAKOVA, N.M.; MONSERUD, R.A.; NAZIMOVA, D.I.

[Text] / R. A. MONSERUD, N. M. TCHEBAKOVA, R. . LEEMANS // Clim. Change. - 1993. - Vol. 25, Is. 1. - P59-83, DOI 10.1007/BF01094084. - Cited References: 73 . - 25. - ISSN 0165-0009РУБ Environmental Sciences + Meteorology & Atmospheric Sciences

Аннотация: A modified Budyko global vegetation model is used to predict changes in global vegetation patterns resulting from climate change (CO2 doubling). Vegetation patterns are predicted using a model based on a dryness index and potential evaporation determined by solving radiation balance equations. Climate change scenarios are derived from predictions from four General Circulation Models (GCM's) of the atmosphere (GFDL, GISS, OSU, and UKMO). Global vegetation maps after climate change are compared to the current climate vegetation map using the kappa statistic for judging agreement, as well as by calculating area statistics. All four GCM scenarios show similar trends in vegetation shifts and in areas that remain stable, although the UKMO scenario predicts greater warming than the others. Climate change maps produced by all four GCM scenarios show good agreement with the current climate vegetation map for the globe as a whole, although over half of the vegetation classes show only poor to fair agreement. The most stable areas are Desert and Ice/Polar Desert. Because most of the predicted warming is concentrated in the Boreal and Temperate zones, vegetation there is predicted to undergo the greatest change. Specifically, all Boreal vegetation classes are predicted to shrink. The interrelated classes of Tundra, Taiga, and Temperate Forest are predicted to replace much of their poleward mostly northern) neighbors. Most vegetation classes in the Subtropics and Tropics are predicted to expand. Any shift in the Tropics favoring either Forest over Savanna, or vice versa, will be determined by the magnitude of the increased precipitation accompanying global warming. Although the model predicts equilibrium conditions to which many plant species cannot adjust (through migration or microevolution) in the 50-100 y needed for CO2 doubling, it is nevertheless not clear if projected global warming will result in drastic or benign vegetation change.

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Scopus

Держатели документа:
RUSSIAN ACAD SCI,INST FOREST,KRASNOYARSK 660036,RUSSIA
NATL INST PUBL HLTH & ENVIRONM PROTECT,DEPT GLOBAL CHANGE,3720 BA BILTHOVEN,NETHERLANDS

Доп.точки доступа:
MONSERUD, R.A.; TCHEBAKOVA, N.M.; LEEMANS, R...

/ C. Huttich [et al.] // International Geoscience and Remote Sensing Symposium (IGARSS). - 2012. - 2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 (22 July 2012 through 27 July 2012, Munich) Conference code: 95192. - Ст. 6351999. - P7208-7211DOI 10.1109/IGARSS.2012.6351999 . -
Аннотация: ZAPAS investigates and cross validates methodologies using both Russian and European Earth observation data to develop procedures and products for forest resource assessment and monitoring. Products include biomass change maps for the years 2007 to 2009 on a local scale, a biomass and improved land cover map on the regional scale as input to a carbon accounting model. The geographical focus of research and development is Central Siberia, which contains two administrative districts of Russia, namely Krasnoyarsk Kray and Irkutsk Oblast. The results of the terrestrial ecosystem full carbon accounting are addressed to the Federal Forest Agency as federal instance. The high resolution products comprise biomass and change maps for selected local sites. These products are addressed to support the UN FAO Forest Resources Assessment as well as the requirements of the local forest inventories. В© 2012 IEEE.

Scopus

Держатели документа:
Dept. for Earth Observation, University Jena, Germany
Space Research Institute, Moscow, Russian Federation
Joint Stock Company Russian Space Systems, Moscow, Russian Federation
Sukachev Institute of Forest, Krasnoyarsk, Russian Federation
International Institute for Applied System Analysis, Laxenburg, Austria

Доп.точки доступа:
Huttich, C.; Schmullius, C.C.; Thiel, C.J.; Bartalev, S.; Emelyanov, K.; Korets, M.; Shvidenko, A.; Schepaschenko, D.

/ A. V. Volokitina // Geography and Natural Resources. - 2009. - Vol. 30, Is. 1. - P66-72, DOI 10.1016/j.gnr.2009.03.013 . - ISSN 1875-3728
Аннотация: Experience in compiling maps for combustible vegetable materials in Central Evenkia using two methods is considered: the conjugate method of two modifications, i.e. using forest management data (sc. 1:100 000), and on the basis of the forest-typological map (sc. 1:25 000); the self-contained method using aerial photographs (sc. 1: 10 000). В© 2009.

Scopus

Держатели документа:
Institute of Forest SB RAS, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Volokitina, A.V.

/ K. J. Ranson [et al.] // International Geoscience and Remote Sensing Symposium (IGARSS). - 2004. - Vol. 3: 2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004 (20 September 2004 through 24 September 2004, Anchorage, AK) Conference code: 64488. - P1936-1939 . -
Аннотация: Lidar is a laser altimeter that determines the distance from the instrument to the physical surface by measuring the time elapsed between the pulse emission and the reflected return. The returned signal may identify multiple returns originating from trees, building and other objects and permits the calculation of their height. Studies using field data have shown that lidar data can provide estimates of structural parameters such as biomass, stand volume and leaf area index. NASA's ICESat Geoscience Laser Altimeter System (GLAS) was launched in January 2003 and collected data during February and September of that year. This study used GLAS data acquired over our study sites in central Siberia to examine the returned signal as a source of information about fire and insect damaged forest stands.

Scopus

Держатели документа:
NASA's Goddard Space Flight Center, Code 923, Greenbelt, MD, United States
Department of Geography, University of Maryland, College Park, United States
Sci. Systems and Applications, Inc., Seabrook, MD, United States
V.N. Sukachev Institute of Forest, Academgorodok, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Ranson, K.J.; Sun, G.; Kovacs, K.; Kharuk, V.I.