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

/ M. I. Bird, Y. N. Kalaschnikov // Tellus. Series B: Chemical and physical meteorology. - 2002. - Vol. 54B, № 5. - С. 631-641
Аннотация: We present soil organic carbon (SOC) inventories and carbon isotope compositions from over 900 samples collected in areas of minimally disturbed mature vegetation on freely drained soils (excluding peatlands) on a 1000 km transect along the Yennisey River, central Siberia. Carbon inventories over 0-30 cm depth range widely from 1.71 to 7.05 kg m(-2). While an effect of changing climate or vegetation along the transect cannot be ruled out, the observed differences in SOC inventories are largely the result of variations in mineral soil texture, with inventories in fine-textured soils being approximately double those in coarse-textured soils. The delta(13)C values of SOC in the 0-5 cm interval ranged from -26.3 to -28.0parts per thousand, with delta(13)C values for the 5-30 cm interval being 0.9 +/- 0.8parts per thousand (1sigma) enriched in C-13 relative to the 0-5 cm samples. The average delta(13)C value for the 0-5 cm interval for all samples was -27.1 +/- 0.6parts per thousand (1sigma) and for the full 0-30 cm interval the average was -26.5 +/- 0.5parts per thousand (1sigma). In general, delta(13)C values were higher in coarse-textured soils and lower in fine-textured soils. The results of detailed sampling of soils in Pinus sylvestris forest growing on sand near the Zotino flux tower suggest an SOC inventory in these soils of 2.22 +/- 0.35 kg m(-2) over 30 cm and an average delta(13)C value of -26.3 +/- 0.2parts per thousand over the 0-5 cm depth interval and -25.9 +/- 0.3parts per thousand over 0-30 cm. Recent burning had no effect on SOC inventories, but clearing has led to an average 25% decrease on SOC inventories from 0-30 cm over 12 yr. Neither burning nor clearing had a discernible effect on the delta(13)C value of SOC.

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Держатели документа:
VN Sukachev Inst Forests, Krasnoyarsk 660036, Russia

Доп.точки доступа:
Bird, M.I.; Бёрд М.И.; Kalaschnikov, Y.N.; Калашников, Евгений Никифорович

: научное издание / A. V. Volokitina, M. A. Sofronov. - Krasnoyarsk : V.N. Sukachev Institute of forest SB RAS, 2002. - 44 с. : ил., табл. - Библиогр.: с. 40-43. - 100 экз. - Б. ц.
Аннотация: The monograph considers problems of vegetation fuel (VF) mapping. Such mapping is indispensable for creation of the information database in the Russian system of forest and other vegetation fires behaviour and consequences forecast. The volume cantains scientific fundamentals of VF mapping as well as methods and techniques of VF mapping at different scales (including computer technologies together with forest inventory data).

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

Доп.точки доступа:
Sofronov, Mark Adrianovich
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: материалы временных коллективов / V. Alexeyev [и др.] // Water, air & soil pollution. - 1995. - Vol. 82, № 1-2. - С. 271-282. - Библиогр. в конце ст.
Аннотация: Estimates of carbon (C) storage for the forest vegetation of Russia vary to a considerable extent. In this paper we describe methods of estimating C storage of forest ecosystems and present estimates of C storage in the forest vegetationb of administrative territories and ecoregion of Russia. Estimates of C storage are based on National Forest Inventory data, estimates of the phytomass of trees and other vegetation of different forest ecosystems in various ecoregions of Russia, and mapped data for natural ecoregions. The forest ecosystems of Russia (771.1 Mha) have 118.8 Pg of C with 23.6% of the total in forest vegetation, 14.1% in the countries with temperate and boreal forest ecosystems.

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

Доп.точки доступа:
Alexeyev, Vladislav Alexandrovich; Алексеев, Владислав Александрович; Birdsey, R.A.; Бёдси Р.А.; Stakanov, Vladimir Dmitriyevich; Стаканов, Виктор Дмитриевич; Korotkov, Ivan Alexandrovich; Коротков Иван Александрович
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/ A. J. Dolman [et al.] // Biogeosciences. - 2012. - Vol. 9, Is. 12. - P5323-5340, DOI 10.5194/bg-9-5323-2012. - Cited References: 90. - The authors would like to acknowledge the inspiration of the Global Carbon Project's RECCAP team that laid the basis for the present work. A. J. D. and T. C. acknowledge partial support from the EU FP7 Coordination Action on Carbon Observing System (COCOS, grant agreement no. 212196 and the Operational Global Carbon Observing System (GEOCARBON, grant agreement no: 283080). A. S. and D. S. acknowledge support from European Union Grants FP7-212535 (Project CC-TAME), FP7-244122 (GHG-Europe), FP7-283080 (GEO-Carbon) and by the Global Environmental Forum, Japan (Project GEF-2).E.-D. S., N. T. and A. J. D. acknowledge support from the Russian "Megagrant" 11.G34.31.0014 from 30 November 2010 to E.-D. Schulze by the Russian Federation and the Siberian Federal University to support research projects by leading scientists at Russian Institutions of higher education. . - 18. - ISSN 1726-4170РУБ Ecology + Geosciences, Multidisciplinary

Аннотация: We determine the net land to atmosphere flux of carbon in Russia, including Ukraine, Belarus and Kazakhstan, using inventory-based, eddy covariance, and inversion methods. Our high boundary estimate is -342 TgC yr(-1) from the eddy covariance method, and this is close to the upper bounds of the inventory-based Land Ecosystem Assessment and inverse models estimates. A lower boundary estimate is provided at -1350 TgC yr(-1) from the inversion models. The average of the three methods is -613.5 TgC yr(-1). The methane emission is estimated separately at 41.4 Tg C yr(-1). These three methods agree well within their respective error bounds. There is thus good consistency between bottom-up and top-down methods. The forests of Russia primarily cause the net atmosphere to land flux (-692 TgC yr(-1) from the LEA. It remains however remarkable that the three methods provide such close estimates (-615, -662, -554 TgC yr(-1)) for net biome production (NBP), given the inherent uncertainties in all of the approaches. The lack of recent forest inventories, the few eddy covariance sites and associated uncertainty with upscaling and undersampling of concentrations for the inversions are among the prime causes of the uncertainty. The dynamic global vegetation models (DGVMs) suggest a much lower uptake at -91 TgC yr(-1), and we argue that this is caused by a high estimate of heterotrophic respiration compared to other methods.

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Держатели документа:
[Dolman, A. J.
Chen, T.
van der Molen, M. K.
Marchesini, L. Belelli] Vrije Univ Amsterdam, Dept Earth Sci, NL-1081 HV Amsterdam, Netherlands
[Shvidenko, A.
Schepaschenko, D.] Int Inst Appl Syst Anal, A-2361 Laxenburg, Austria
[Ciais, P.] CEA CNRS UVSQ, IPSL LSCE, Ctr Etud Orme Merisiers, F-91191 Gif Sur Yvette, France
[Tchebakova, N.] SB RAS, VN Sukachev Inst Forest, Krasnoyarsk 660036, Russia
[Tchebakova, N.] SIF SB RAS, Krasnoyarsk, Russia
[Tchebakova, N.] Siberian Fed Univ, Krasnoyarsk, Russia
[van der Molen, M. K.] Wageningen Univ, Dept Meteorol & Air Qual, Wageningen, Netherlands
[Maximov, T. C.] RAS, Inst Biol Problems Cryolithozone, Siberian Branch, Yakutsk, Russia
[Maksyutov, S.] Natl Inst Environm Studies, Ctr Global Environm Res, Tsukuba, Ibaraki 3058506, Japan
[Schulze, E. -D.] Max Planck Inst Biogeochem, Jena, Germany

Доп.точки доступа:
Dolman, A.J.; Shvidenko, A...; Schepaschenko, D...; Ciais, P...; Tchebakova, N...; Chen, T...; van der Molen, M.K.; Marchesini, L.B.; Maximov, T.C.; Maksyutov, S...; Schulze, E.D.

[Текст] : монография / A. P. Laletin [и др.]. ; ред. A. P. Laletin ; V.N. Sukachev Institute of Forest of the Siberian Branch Russian Academy of Sciences (SB RAS), Krasnoyarsk Regional Ecological Public Movement "Friends of the Siberian Forests". - Krasnoyarsk : Publishing house "Darma-pechat", 2011. - 122 с. : ил., табл. - Библиогр.: с. 115-122. - ISBN 978-5-903055-27-2 : Б. ц.
Аннотация: The result of studies the recommendations in forest utilization and forest policy spheres have been developed taking into account economical demands and ecological limitations for the near period and perspective. This book is intended for specialists of foirest management, forest inventory, forestry, economics and nature protection as well as for forest sector workers, also for teachers and students of forest-technical, technological, polytechnic, agricultural high schools and biological faculties in universities.


Доп.точки доступа:
Laletin , A.P.; Sokolov, V.A.; Onuchin, A.A.; Vtyurina, O.P.; Laletin, A.A.; Laletin, A.P. \ред.\
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[Text] / A. . Volokitina, M. . Sofronov, T. . Sofronova // Mitig. Adapt. Strateg. Glob. Chang. - 2008. - Vol. 13, Is. 7. - P661-674, DOI 10.1007/s11027-007-9120-7. - Cited References: 29 . - 14. - ISSN 1381-2386РУБ Environmental Sciences

Аннотация: Problem of wildfires has not been resolved anywhere in the world. Mere increase of technical power does not lead to desirable results. Forests of developed countries burn as actively as those in Africa or in Russia. The main reasons of wildfire problem are as follows: (1) Constant wandering of dry seasons over the planet causing outbreaks of wildfires. (2) Unpredicted self-development of ordinary wildfires into awful fire disasters. (3) Difficulties in delivery and use of heavy machines on hardly accessible territories. (4) Absence of a perfect technique for economic evaluation of how effectively the wildfire control system works. (5) Absence of the system of payments encouraging wildfire fighters. To solve the problem of wildfires in Russia it is necessary to: (1) Create the Russian wildfire behaviour and fire effects prediction system on the basis of the developed classification of vegetation fuels and methods of their mapping as well as maximum utilization of forest inventory information and Geographic Information System (GIS). (2) Elaborate a technique of proper wildfire monitoring including estimation of vegetation damage. (3) Improve daily rating of regional fire danger. (4) Improve fire-preventive arrangement of the territory covered by vegetation, the main goal being creation of favourable conditions for active fire management. (5) Choose the main direction in elaboration of fire-fighting means and methods taking into account their universality, simplicity, reliability, etc. (6) Elaborate an improved technique for estimation of economic effectiveness of the wildfire control system. (7) Develop international cooperation of scientists and professionals in fire management.

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Держатели документа:
[Volokitina, Alexandra
Sofronov, Mark] Russian Acad Sci, Sukachev Inst Forest, Siberian Branch, Krasnoyarsk 660036, Russia
[Sofronova, Tatiana] Astafiev Krasnoyarsk State Pedag Univ, Krasnoyarsk 660049, Russia

Доп.точки доступа:
Volokitina, A...; Sofronov, M...; Sofronova, T...

[Text] / L. B. Marchesini [et al.] // Biogeosciences. - 2007. - Vol. 4, Is. 4. - P581-595. - Cited References: 64 . - 15. - ISSN 1726-4170РУБ Ecology + Geosciences, Multidisciplinary

Аннотация: Steppe ecosystems represent an interesting case in which the assessment of carbon balance may be performed through a cross validation of the eddy covariance measurements against ecological inventory estimates of carbon exchanges (Ehman et al., 2002; Curtis et al., 2002). Indeed, the widespread presence of ideal conditions for the applicability of the eddy covariance technique, as vast and homogeneous grass vegetation cover over flat terrains (Baldocchi, 2003), make steppes a suitable ground to ensure a constrain to flux estimates with independent methodological approaches. We report about the analysis of the carbon cycle of a true steppe ecosystem in southern Siberia during the growing season of 2004 in the framework of the TCOS-Siberia project activities performed by continuous monitoring of CO2 fluxes at ecosystem scale by the eddy covariance method, fortnightly samplings of phytomass, and ingrowth cores extractions for NPP assessment, and weekly measurements of heterotrophic component of soil CO2 effluxes obtained by an experiment of root exclusion. The carbon balance of the monitored natural steppe was, according to micrometeorological measurements, a sink of carbon of 151.7 +/- 36.9 g Cm-2, cumulated during the growing season from May to September. This result was in agreement with the independent estimate through ecological inventory which yielded a sink of 150.1 g Cm-2 although this method was characterized by a large uncertainty (+/- 130%) considering the 95% confidence interval of the estimate. Uncertainties in belowground process estimates account for a large part of the error. Thus, in particular efforts to better quantify the dynamics of root biomass (growth and turnover) have to be undertaken in order to reduce the uncertainties in the assessment of NPP. This assessment should be preferably based on the application of multiple methods, each one characterized by its own merits and flaws.

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Держатели документа:
Univ Tuscia, Dept Forest Resources & Environm, I-01100 Viterbo, Italy
Max Planck Inst Biogeochem, D-07745 Jena, Germany
RAS, SB, Sukachev Inst Forest, Krasnoyarsk 660036, Russia

Доп.точки доступа:
Marchesini, L.B.; Papale, D...; Reichstein, M...; Vuichard, N...; Tchebakova, N...; Valentini, R...

[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] / 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. Y. Romas'ko, V. B. Kashkin, A. N. Sukhinin // Earth Observ. Remote Sens. - 2001. - Vol. 16, Is. 6. - P991-996. - Cited References: 6 . - 6. - ISSN 1024-5251РУБ Geography, Physical + Geosciences, Multidisciplinary + Remote Sensing + Imaging Science & Photographic Technology

Аннотация: It is shown that NOAA satellite data with spatial resolution 1.1 km can be used to estimate the area and age of fires and the extent of forest recovery, and to date past fires. The paper presents the results of classification using maximum likelihood, and minimum distances and clustering with respect to the maxima of multidimensional histograms.

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

Доп.точки доступа:
Romas'ko, V.Y.; Kashkin, V.B.; Sukhinin, A.N.

[Text] / A. I. Sukhinin, V. B. Kashkin, E. I. Ponomarev ; ed.: GG Matvienko, ko, GG Matvi // SIXTH INTERNATIONAL SYMPOSIUM ON ATMOSPHERIC AND OCEAN OPTICS. Ser. PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE) : SPIE-INT SOC OPTICAL ENGINEERING, 1999. - Vol. 3983: 6th International Symposium on Atmospheric and Ocean Optics (JUN 23-26, 1999, TOMSK, RUSSIA). - P206-214, DOI 10.1117/12.370494. - Cited References: 12 . - 9. - ISBN 0277-786X. - ISBN 0-8194-3600-3РУБ Meteorology & Atmospheric Sciences + Remote Sensing + Optics + Physics, Applied


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

Доп.точки доступа:
Sukhinin, A.I.; Kashkin, V.B.; Ponomarev, E.I.; Matvienko, GG \ed.\; Matvi, ko, GG \ed.\

/ 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.

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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.

/ D. Schepaschenko [et al.] // Journal of Land Use Science. - 2011. - Vol. 6, Is. 4. - P245-259, DOI 10.1080/1747423X.2010.511681 . - ISSN 1747-423X
Аннотация: Despite being recognized as a key baseline dataset for many applications, especially those relating to biogeochemical cycles, land cover products in their current form are limiting. Typically they lack the thematic detail necessary for driving the models that depend upon them. This study has demonstrated the ability to produce a highly detailed (both spatially and thematically) land cover/land use dataset over Russia - by combining existing datasets into a hybrid information system. The resulting dataset contains detailed subclasses of land cover and attributes necessary for biogeochemical modeling. In lieu of suitable validation data, a confidence map was produced creating six classes of confidence in the agreement between the various remote sensing and statistical datasets. In specific regions, a significant difference between the remote sensing products and the official statistics was observed. For example, in the northwest of Russia the statistics appear to be underreporting the amount of forest land which has likely been increasing in recent decades because of encroachment of forests on abandoned marginal agricultural land. В© 2011 Copyright Taylor and Francis Group, LLC.

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Держатели документа:
IIASA, Laxenburg, Austria
Moscow State Forest University, Moscow, Russian Federation
Institute of Forest, Siberian Branch, Russian Academy of Science, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Schepaschenko, D.; McCallum, I.; Shvidenko, A.; Fritz, S.; Kraxner, F.; Obersteiner, M.

/ A. Bolsunovsky [et al.] // Radioprotection. - 2009. - Vol. 44, Is. 5. - P83-88, DOI 10.1051/radiopro/20095021 . - ISSN 0033-8451
Аннотация: The study was done to determine concentrations of radionuclides and heavy metals and to evaluate the frequency of chromosomal aberrations in samples of Elodea canadensis, a submerged plant, collected in different parts of the Yenisei River. Samples were collected in the area subjected to radioactive impact of theMining-and-Chemical Combine (MCC) at Zheleznogorsk and in the control areas, upstream of the MCC. The investigations showed that Elodea biomass in the area affected by MCC operation contained a long inventory of artificial radionuclides typical of the MCC discharges. Upstream of the MCC, in the control sampling areas, the sediments and the Elodea biomass contained only one artificial radionuclide - 137Cs. Thus, the exposure doses to Elodea shoots and roots upstream of the MCC are small (not more than 8 ?Gy/d) and the main contribution to them is made by natural radionuclides. At the MCC discharge site (the village of Atamanovo) and downstream of it, the total dose rate increases almost an order of magnitude, reaching its maximal values - 72 ?Gy/d for Elodea shoots and 58 ? Gy/d for roots. Cytogenetic investigations of Elodea roots showed that at the MCC discharge site (the village of Atamanovo) and downstream of it the occurrence of chromosomal aberrations in ana-telophase and metaphase cells of Elodea was considerably higher than in the control area. It is highly probable that this simultaneous dramatic increase in the total exposure rate and the occurrence of chromosomal aberrations in Elodea is associated with the radiation factor. It is suggested that Elodea is affected not only by the radiation factor but also by the chemical factor - toxicity of heavy metals. В© 2009 EDP Sciences.

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Держатели документа:
Institute of Biophysics, Siberian Branch, Russian Academy of Sciences, Akademgorodok, 660036 Krasnoyarsk, Russian Federation
Siberian Federal University, 79 Svobodnyi Ave., 660041 Krasnoyarsk, Russian Federation
Institute of Forest, Siberian Branch, Russian Academy of Sciences, Akademgorodok, 660036 Krasnoyarsk, Russian Federation

Доп.точки доступа:
Bolsunovsky, A.; Muratova, E.; Sukovaty, A.; Kornilova, M.

/ R. H.A. Baker [et al.] // EPPO Bulletin. - 2009. - Vol. 39, Is. 1. - P87-93, DOI 10.1111/j.1365-2338.2009.02246.x . - ISSN 0250-8052
Аннотация: PRATIQUE is an EC-funded 7th Framework research project designed to address the major challenges for pest risk analysis (PRA) in Europe. It has three principal objectives: (a) to assemble the datasets required to construct PRAs valid for the whole of the EU, (b) to conduct multi-disciplinary research that enhances the techniques used in PRA and (c) to provide a decision support scheme for PRA that is efficient and user-friendly. The research will be undertaken by scientists from 13 institutes in the EU and one each from Australia and New Zealand with subcontractors from institutes in China and Russia. They will produce a structured inventory of PRA datasets for the EU and undertake targeted research to improve existing procedures and develop new methods for (a) the assessment of economic, environmental and social impacts, (b) summarising risk while taking account of uncertainty, (c) mapping endangered areas (d) pathway risk analysis and systems approaches and (e) guiding actions during emergencies caused by outbreaks of harmful organisms. The results will be tested and provided as protocols, decision support systems and computer programs with examples of best practice linked to a computerised European and Mediterranean Plant Protection Organization (EPPO) PRA scheme. В© 2009 OEPP/EPPO.

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Держатели документа:
Central Science Laboratory, Sand Hutton, York YO30 7BH, United Kingdom
Department of Environmental Agronomy, University of Padova, 16a Via Universita, Legnaro PD, 35020, Italy
Landbouw-Economisch Instituut (LEI) B.V., 19 Burgemeester Patijnlaan, The Hague, 2585 BE, Netherlands
CABI Europe-Switzerland, 1 Rue des Grillons, Delemont, 2800, Switzerland
Centre for Environmental Policy, Imperial College London, Silwood Park, Ascot SL5 7PY, United Kingdom
European and Mediterranean Plant Protection Organization, 1 rue le Notre, Paris, 75016, France
Julius Kuhn-Institut (JKI), Bundesforschungsinstitut fur Kulturpflanzen, Messeweg 11/12, Braunschweig, 38104, Germany
University of Fribourg, 6 Chemin de Musee, Fribourgm 1700, Switzerland
Cooperative Research Centre for National Plant Biosecurity, CSIRO Entomology, 120 Meiers Road, Indooroopilly, 4068, Australia
Bio-Protection Research Centre, Lincoln University, PO Box 84, Lincoln, Canterbury, New Zealand
Plant Protection Institute, 35 Panayot Volov, Kostinbrod, 2230, Bulgaria
Wageningen University, 1 Hollandseweg, Wageningen, 6706 KN, Netherlands
Centre de Cooperation Internationale en Recherche Agronomique Pour le Developpement, UMR PVBMT, Pole de Protection des Plantes, 7 chemin de I'IRAT, Saint Pierre, Reunion, 97410, France
Institute of Botany, Academy of Sciences of the Czech Republic, Zamek 1, Prhonice, CZ 25243, Czech Republic
Faculty of Science, Department of Ecology, Charles University, Prague, Czech Republic
Institut National de la Recherche Agronomique, UR633, Zoologie Forestierem Ardon, Avenue de la Pomme de Pin, Ardon, Olivet, 45166, France
Sukachev Institute of Forest, Siberian Branch, Russian Academy of Science, Krasnoyarsk, Russian Federation
State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China

Доп.точки доступа:
Baker, R.H.A.; Battisti, A.; Bremmer, J.; Kenis, M.; Mumford, J.; Petter, F.; Schrader, G.; Bacher, S.; De Barro, P.; Hulme, P.E.; Karadjova, O.; Lansink, A.O.; Pruvost, O.; Pyek, P.; Roques, A.; Baranchikov, Y.; Sun, J.-H.

/ K. J. Ranson [et al.] // International Geoscience and Remote Sensing Symposium (IGARSS). - 2007. - 2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007 (23 June 2007 through 28 June 2007, Barcelona) Conference code: 71398. - Ст. 4423302. - P2306-2309, DOI 10.1109/IGARSS.2007.4423302 . -
Аннотация: Mapping of boreal forest's type, structure parameters and biomass are critical for understanding the boreal forest's significance in the carbon cycle, its response to and impact on global climate change. The biggest deficiency of the existing ground based forest inventories is the uncertainty in the inventory data, particularly in remote areas of Siberia where sampling is sparse, lacking, and often decades old. Remote sensing methods can overcome these problems. In this study, we used the moderate resolution imaging spectroradiometer (MODIS) and unique waveform data of the geoscience laser altimeter system (GLAS) and produced a map of timber volume for a 10В°?12В° area in Central Siberia. Using these methods, the mean timber volume for the forested area in the total study area was 203 m3/ ha. The new remote sensing methods used in this study provide a truly independent estimate of forest structure, which is not dependent on traditional ground forest inventory methods. В© 2007 IEEE.

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Держатели документа:
NASA GSFC, Code 614.4, Greenbelt, MD 20771, United States
Department of Geography, University of Maryland, College Park, MD 20742, United States
Sukachev Institute of Forest, Krasnoyarsk, Russian Federation
Science Systems and Applications Inc., Lanham, MD 20706, United States

Доп.точки доступа:
Ranson, K.J.; Nelson, R.; Kimes, D.; Sun, G.; Kharuk, V.; Montesano, P.

/ D. I. Nazimova [et al.] // Mapping Sciences and Remote Sensing. - 2001. - Vol. 38, Is. 3. - P212-221 . - ISSN 0749-3878
Аннотация: A method of utilizing low-resolution AVHRR imagery for the purpose of mapping and otherwise conducting an inventory of altitudinal zones of arboreal forest vegetation in mountainous areas of southern Siberia is described. Vegetation classes identified using the method are compared with those derived from more traditional field-based methods. The effects of date (season) of imaging on the accuracy of the method are discussed. Translated by Edward Torrey, Alexandria, Virginia from: Geografiya i prirodnyye resursy, 2000. No. 4, pp. 117-123.

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Полный текст

Держатели документа:
Forestry Institute, Siberian Section, Russian Academy of Sciences, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Nazimova, D.I.; Polikarpov, N.P.; Sukhinin, A.I.; Fedotova, Ye.V.; Kharuk, V.I.

/ M. A. Sofronov, A. V. Volokitina, A. Z. Shvidenko // Commonwealth Forestry Review. - 1998. - Vol. 77, Is. 2. - P124-127 . - ISSN 0010-3381
Аннотация: More than 36% of Russian Federal Forest Service lands (Forest Fund) are not fire protected. The bulk of the area concerned is located in the northern part of Siberia and involves open forests on permafrost soils. Natural conditions of this zone are favourable for the growth of fires, but official information on the area burnt by wildland fires is practically absent. Estimates of burnt areas for natural zones of Russia and for parts of Siberia (especially for Evenkia) are reported, using forest inventory data and satellite-derived information. The annual average area burnt in Evenkia is very high at about 1.5% of the forest area.

Scopus

Держатели документа:
Sukachev Inst of Forests, Russian Academy of Sciences, Akademgorodok, Krasnoyarsk, 660036, Russian Federation

Доп.точки доступа:
Sofronov, M.A.; Volokitina, A.V.; Shvidenko, A.Z.

/ R. A. Monserud [et al.] // Silva Fennica. - 1996. - Vol. 30, Is. 2-3. - P185-200 . - ISSN 0037-5330
Аннотация: An equilibrium model driven by climatic parameters, the Siberian Vegetation Model, was used to estimate changes in the phytomass of Siberian vegetation under climate change scenarios (CO2 doubling) from four general circulation models (GCM's) of the atmosphere. Ecosystems were classified using a three-dimensional climatic ordination of growing degree days (above a 5В°C threshold), Budyko's dryness index (based on radiation balance and annual precipitation), and Conrad's continentality index. Phytomass density was estimated using published data of Bazilevich covering all vegetation zones in Siberia. Under current climate, total phytomass of Siberia is estimated to be 74.1 В± 2.0 Pg (Petagram = 1015 g). Note that this estimate is based on the current forested percentage in each vegetation class compiled from forest inventory data. Moderate warming associated with the GISS (Goddard Institute for Space Studies) and OSU (Oregon State Univ.) projections resulted in a 23-26 % increase in phytomass (to 91.3 В± 2.1 Pg and 93.6 В± 2.4 Pg, respectively), primarily due to an increase in the productive Southern Taiga and Subtaiga classes. Greater warming associated with the GFDL (General Fluid Dynamics Laboratory) and UKMO (United Kingdom Meteorological Office) projections resulted in a small 3-7 % increase in phytomass (to 76.6 В± 1.3 Pg and 79.6 В± 1.2 Pg, respectively). A major component of predicted changes using GFDL and UKMO is the introduction of a vast Temperate Forest-Steppe class covering nearly 40 % of the area of Siberia, at the expense of Taiga; with current climate, this vegetation class is nearly non-existent in Siberia. In addition, Subboreal Forest-Steppe phytomass doubles with all GCM predictions. In all four climate change scenarios, the predicted phytomass stock of all colder, northern classes is reduced considerably (viz., Tundra, Forest-Tundra, Northern Taiga, and Middle Taiga). Phytomass in Subtaiga increases greatly with all scenarios, from a doubling with GFDL to quadrupling with OSU and GISS. Overall, phytomass of the Taiga biome (Northern, Middle, Southern, and Subtaiga) increased 15 % in the moderate OSU and GISS scenarios and decreased by a third in the warmer UKMO and GFDL projections. In addition, a sensitivity analysis found that the percentage of a vegetation class that is forested is a major factor determining phytomass distribution. From 25 to 50 % more phytomass is predicted under climate change if the forested proportion corresponding to potential rather than current vegetation is assumed.

Scopus

Держатели документа:
Intermountain Research Station, USDA Forest Service, 1221 S. Main St., Moscow, ID 83843, United States
Forest Institute, Russian Academy of Sciences, Akademgorodok, 660036 Krasnoyarsk, Russian Federation
Department of Civil Engineering, Oregon State University, Corvallis, OR 97333, United States
Department of Geography, Moscow State University, 119899 Moscow, Russian Federation

Доп.точки доступа:
Monserud, R.A.; Tchebakova, N.M.; Kolchugina, T.P.; Denissenko, O.V.