: материалы временных коллективов / O. A. Antamoshkina // Boreal forests in a changing world: challenges and needs for action: Proceedings of the International conference August 15-21 2011, Krasnoyarsk, Russia. - Krasnoyarsk : V.N. Sukachev Institute of forest SB RAS, 2011. - С. 101-104. - Библиогр. в конце ст.
Аннотация: Remote sensing is a time-saving and cost effective method to estimate the current forest condition. This study provides spectral curves characteristic of the underlying surface types common in the area of interest. A methodology of real-time assessment of disturbance levels within separate burned sites is proposed.
Держатели документа:
Институт леса им. В.Н. Сукачева Сибирского отделения Российской академии наук : 660036, Красноярск, Академгородок 50/28
Доп.точки доступа:
Антамошкина О.А.
Труды сотрудников ИЛ им. В.Н. Сукачева СО РАН
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Найдено документов в текущей БД: 8
Structure of the organic matter pool in Pinus sibirica dominated forests of Central Siberia
/ N. N. Koshurnikova [et al.] // Folia For. Pol. Ser. A. - 2015. - Vol. 57, Is. 4. - P218-223, DOI 10.1515/ffp-2015-0022
. - ISSN 0071-6677
Кл.слова (ненормированные):
Coarse woody debris -- Dead wood -- Dynamics -- Growing stock -- Organic matter -- Siberian pine -- Siberian territories adjacent to Yenisei River -- Stock -- Windfall -- ZOTTO observatory
Аннотация: Organic matter pool and its distribution between growing stock, dead wood and windfall in upland and lowland Pinus sibirica dominated forests of Central Siberia (along the Yenisei River) is evaluated. The average growing stock is changing with advancing age from 163.9 ± 20.4 to 295.4 m3 ha-1 thus reaching its maximum in the mature forests (337.0 ± 19.6 m3 ha-1). According to the data collected, stock variation coefficient numbers display acceptable (growing stock: 14-28%) and high variability (windfall and dead wood: 63-85%). Windfall prevails in the structure of coarse woody debris (CWD) from 130.8 ± 18.5 to 171.7 ± 20.1 m3 ha-1, with the stocks greatly exceeding the amount of growing wood stock in middle-aged and declining stands in 1.4 and 2.1 times, respectively. The observations comply with common trend of deterioration of dark coniferous forests in Siberia. © 2015 by Forest Research Institute.
Scopus
Держатели документа:
Siberian Federal University, Krasnoyarsk, Russian Federation
V.N. Sukachev Institute of Forest SB RAS, Krasnoyarsk, Russian Federation
Siberian State Technological University, Krasnoyarsk, Russian Federation
WWF, Krasnoyarsk, Russian Federation
Доп.точки доступа:
Koshurnikova, N. N.; Verkhovets, S. V.; Antamoshkina, O. A.; Trofimova, N. V.; Zlenko, L. V.; Zhuikov, A. V.; Garmash, A. A.
Кл.слова (ненормированные):
Coarse woody debris -- Dead wood -- Dynamics -- Growing stock -- Organic matter -- Siberian pine -- Siberian territories adjacent to Yenisei River -- Stock -- Windfall -- ZOTTO observatory
Аннотация: Organic matter pool and its distribution between growing stock, dead wood and windfall in upland and lowland Pinus sibirica dominated forests of Central Siberia (along the Yenisei River) is evaluated. The average growing stock is changing with advancing age from 163.9 ± 20.4 to 295.4 m3 ha-1 thus reaching its maximum in the mature forests (337.0 ± 19.6 m3 ha-1). According to the data collected, stock variation coefficient numbers display acceptable (growing stock: 14-28%) and high variability (windfall and dead wood: 63-85%). Windfall prevails in the structure of coarse woody debris (CWD) from 130.8 ± 18.5 to 171.7 ± 20.1 m3 ha-1, with the stocks greatly exceeding the amount of growing wood stock in middle-aged and declining stands in 1.4 and 2.1 times, respectively. The observations comply with common trend of deterioration of dark coniferous forests in Siberia. © 2015 by Forest Research Institute.
Scopus
Держатели документа:
Siberian Federal University, Krasnoyarsk, Russian Federation
V.N. Sukachev Institute of Forest SB RAS, Krasnoyarsk, Russian Federation
Siberian State Technological University, Krasnoyarsk, Russian Federation
WWF, Krasnoyarsk, Russian Federation
Доп.точки доступа:
Koshurnikova, N. N.; Verkhovets, S. V.; Antamoshkina, O. A.; Trofimova, N. V.; Zlenko, L. V.; Zhuikov, A. V.; Garmash, A. A.
Landsat imagery evidences great recent land cover changes induced by wild fires in central Siberia
/ O. A. Antamoshkina, N. V. Trofimova, O. A. Antamoshkin // IOP Conference Series: Materials Science and Engineering. - 2016. - Vol. 122: 19th International Scientific Conference Reshetnev Readings 2015 (10 November 2015 through 14 November 2015, ) Conference code: 122153, Is. 1, DOI 10.1088/1757-899X/122/1/012004
. -
Кл.слова (ненормированные):
Ecology -- Ecosystems -- Fires -- Forestry -- Image classification -- Maps -- Maximum likelihood -- Satellites -- Surface measurement -- Forest disturbances -- Long term monitoring -- Maximum likelihood methods -- Satellite image classification -- Satellite monitoring -- Spatial informations -- Spatial resolution -- Supervised classification -- Satellite imagery
Аннотация: The article discusses the methods of satellite image classification to determine general types of forest ecosystems, as well as the long-term monitoring of ecosystems changes using satellite imagery of medium spatial resolution and the daily data of space monitoring of active fires. The area of interest of this work is 100 km footprint of the Zotino Tall Tower Observatory (ZOTTO), located near the Zotino settlement, Krasnoyarsk region. The study area is located in the middle taiga subzone of Western Siberia, are presented by the left and right banks of the Yenisei river. For Landsat satellite imagery supervised classification by the maximum likelihood method was made using ground-based studies over the last fifteen years. The results are the identification of the 10 aggregated classes of land surface and composition of the study area thematic map. Operational satellite monitoring and analysis of spatial information about ecosystem in the 100-kilometer footprint of the ZOTTO tall tower allows to monitor the dynamics of forest disturbance by fire and logging over a long time period and to estimate changes in forest ecosystems of the study area. Data on the number and area of fires detected in the study region for the 2000-2014 received in the work. Calculations show that active fires have burned more than a quarter of the footprint area over the study period. Fires have a significant impact on the redistribution of classes of land surface. Area of all types of vegetation ecosystems declined dramatically under the influence of fires, whereas industrial logging does not impact seriously on it. The results obtained in our work indicate the highest occurrence of fires for lichen forest types within study region, probably due to their high natural fire danger, which is consistent with other studies. The least damage the fire caused to the wetland ecosystem due to high content of moisture and the presence of a large number of fire breaks in the form of open water. © Published under licence by IOP Publishing Ltd.
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Держатели документа:
V.N. Sukachev Institute of Forest, SB, RAS, Krasnoyarsk, Russian Federation
Siberian Federal University, Krasnoyarsk, Russian Federation
Head of the Altai-Sayan Ecoregional Office WWF, Krasnoyarsk, Russian Federation
Siberian State Aerospace University, Academician M. F. Reshetnev, Krasnoyarsk, Russian Federation
Доп.точки доступа:
Antamoshkina, O. A.; Trofimova, N. V.; Antamoshkin, O. A.
Кл.слова (ненормированные):
Ecology -- Ecosystems -- Fires -- Forestry -- Image classification -- Maps -- Maximum likelihood -- Satellites -- Surface measurement -- Forest disturbances -- Long term monitoring -- Maximum likelihood methods -- Satellite image classification -- Satellite monitoring -- Spatial informations -- Spatial resolution -- Supervised classification -- Satellite imagery
Аннотация: The article discusses the methods of satellite image classification to determine general types of forest ecosystems, as well as the long-term monitoring of ecosystems changes using satellite imagery of medium spatial resolution and the daily data of space monitoring of active fires. The area of interest of this work is 100 km footprint of the Zotino Tall Tower Observatory (ZOTTO), located near the Zotino settlement, Krasnoyarsk region. The study area is located in the middle taiga subzone of Western Siberia, are presented by the left and right banks of the Yenisei river. For Landsat satellite imagery supervised classification by the maximum likelihood method was made using ground-based studies over the last fifteen years. The results are the identification of the 10 aggregated classes of land surface and composition of the study area thematic map. Operational satellite monitoring and analysis of spatial information about ecosystem in the 100-kilometer footprint of the ZOTTO tall tower allows to monitor the dynamics of forest disturbance by fire and logging over a long time period and to estimate changes in forest ecosystems of the study area. Data on the number and area of fires detected in the study region for the 2000-2014 received in the work. Calculations show that active fires have burned more than a quarter of the footprint area over the study period. Fires have a significant impact on the redistribution of classes of land surface. Area of all types of vegetation ecosystems declined dramatically under the influence of fires, whereas industrial logging does not impact seriously on it. The results obtained in our work indicate the highest occurrence of fires for lichen forest types within study region, probably due to their high natural fire danger, which is consistent with other studies. The least damage the fire caused to the wetland ecosystem due to high content of moisture and the presence of a large number of fire breaks in the form of open water. © Published under licence by IOP Publishing Ltd.
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Держатели документа:
V.N. Sukachev Institute of Forest, SB, RAS, Krasnoyarsk, Russian Federation
Siberian Federal University, Krasnoyarsk, Russian Federation
Head of the Altai-Sayan Ecoregional Office WWF, Krasnoyarsk, Russian Federation
Siberian State Aerospace University, Academician M. F. Reshetnev, Krasnoyarsk, Russian Federation
Доп.точки доступа:
Antamoshkina, O. A.; Trofimova, N. V.; Antamoshkin, O. A.
Multi-agent automation system for monitoring, forecasting and managing emergency situations
/ O. A. Antamoshkin, O. A. Antamoshkina, N. A. Smirnov // IOP Conference Series: Materials Science and Engineering. - 2016. - Vol. 122: 19th International Scientific Conference Reshetnev Readings 2015 (10 November 2015 through 14 November 2015, ) Conference code: 122153, Is. 1, DOI 10.1088/1757-899X/122/1/012003
. -
Кл.слова (ненормированные):
Automation -- Multi agent systems -- Automation systems -- Emergency situation -- Models and algorithms -- Multi agent -- Multi-agent approach -- Monitoring
Аннотация: The paper outlines the general concept of multi-agent approach to develop the automation system for monitoring, forecasting and managing emergency situations and its models and algorithms included. © Published under licence by IOP Publishing Ltd.
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Держатели документа:
Siberian State Aerospace University, Academician M. F. Reshetnev, Krasnoyarsk, Russian Federation
Siberian Federal University, Krasnoyarsk, Russian Federation
V.N. Sukachev Institute of Forest, SB, RAS, Krasnoyarsk, Russian Federation
Доп.точки доступа:
Antamoshkin, O. A.; Antamoshkina, O. A.; Smirnov, N. A.
Кл.слова (ненормированные):
Automation -- Multi agent systems -- Automation systems -- Emergency situation -- Models and algorithms -- Multi agent -- Multi-agent approach -- Monitoring
Аннотация: The paper outlines the general concept of multi-agent approach to develop the automation system for monitoring, forecasting and managing emergency situations and its models and algorithms included. © Published under licence by IOP Publishing Ltd.
Scopus,
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Держатели документа:
Siberian State Aerospace University, Academician M. F. Reshetnev, Krasnoyarsk, Russian Federation
Siberian Federal University, Krasnoyarsk, Russian Federation
V.N. Sukachev Institute of Forest, SB, RAS, Krasnoyarsk, Russian Federation
Доп.точки доступа:
Antamoshkin, O. A.; Antamoshkina, O. A.; Smirnov, N. A.
Model and method for optimizing heterogeneous systems
/ O. A. Antamoshkin [et al.] // XII INTERNATIONAL SCIENTIFIC AND RESEARCH CONFERENCE TOPICAL ISSUES IN : IOP PUBLISHING LTD, 2016. - Vol. 155: 12th International Scientific and Research Conference on Topical Issues (APR 11-15, 2016, Krasnoyarsk, RUSSIA). - Ст. UNSP 012043. - (IOP Conference Series-Materials Science and Engineering), DOI 10.1088/1757-899X/155/1/012043. - Cited References:8
. -
РУБ Engineering, Aerospace
Кл.слова (ненормированные):
optimization -- resource use -- decision support system -- distributed -- computer system
Аннотация: Methodology of distributed computing performance boost by reduction of delays number is proposed. Concept of n-dimentional requirements triangle is introduced. Dynamic mathematical model of resource use in distributed computing systems is described.
WOS,
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Scopus
Держатели документа:
Reshetnev Siberian State Aerosp Univ, Krasnoyarsk, Russia.
Siberian Fed Univ, Krasnoyarsk, Russia.
RAS, VN Sukachev Inst Forest SB, Krasnoyarsk, Russia.
Krasnoyarsk State Agrarian Univ, Krasnoyarsk, Russia.
Доп.точки доступа:
Antamoshkin, O. A.; Antamoshkina, O. A.; Zelenkov, P. V.; Kovalev, I. V.
Кл.слова (ненормированные):
optimization -- resource use -- decision support system -- distributed -- computer system
Аннотация: Methodology of distributed computing performance boost by reduction of delays number is proposed. Concept of n-dimentional requirements triangle is introduced. Dynamic mathematical model of resource use in distributed computing systems is described.
WOS,
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Scopus
Держатели документа:
Reshetnev Siberian State Aerosp Univ, Krasnoyarsk, Russia.
Siberian Fed Univ, Krasnoyarsk, Russia.
RAS, VN Sukachev Inst Forest SB, Krasnoyarsk, Russia.
Krasnoyarsk State Agrarian Univ, Krasnoyarsk, Russia.
Доп.точки доступа:
Antamoshkin, O. A.; Antamoshkina, O. A.; Zelenkov, P. V.; Kovalev, I. V.
The National Forest Heritage of the Altai-Sayan Ecoregion
/ O. A. Antamoshkina [et al.] // XII INTERNATIONAL SCIENTIFIC AND RESEARCH CONFERENCE TOPICAL ISSUES IN : IOP PUBLISHING LTD, 2016. - Vol. 155: 12th International Scientific and Research Conference on Topical Issues (APR 11-15, 2016, Krasnoyarsk, RUSSIA). - Ст. UNSP 012044. - (IOP Conference Series-Materials Science and Engineering), DOI 10.1088/1757-899X/155/1/012044. - Cited References:5
. -
РУБ Engineering, Aerospace
Кл.слова (ненормированные):
Hierarchy's analysis method -- remote sensing -- biodiversity -- forest -- protection.
Аннотация: The article presents the methodology of the selection and ranking Intact Forest Landscapes of the Altai-Sayan Ecoregion. This method is developed to identify the most valuable areas of forests, which currently does not legally protect. These areas are planned to recommend for inclusion in the National Forest Heritage of Russia.
WOS,
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Scopus
Держатели документа:
Reshetnev Siberian State Aerosp Univ, Krasnoyarsk, Russia.
Siberian Fed Univ, Krasnoyarsk, Russia.
Altai Sayan Ecoreg Off WWF, Krasnoyarsk, Russia.
RAS, VN Sukachev Inst Forest SB, Krasnoyarsk, Russia.
Krasnoyarsk State Agrarian Univ, Krasnoyarsk, Russia.
Доп.точки доступа:
Antamoshkina, O. A.; Trofimova, N. V.; Antamoshkin, O. A.; Zelenkov, P. V.; Kovalev, I. V.
Кл.слова (ненормированные):
Hierarchy's analysis method -- remote sensing -- biodiversity -- forest -- protection.
Аннотация: The article presents the methodology of the selection and ranking Intact Forest Landscapes of the Altai-Sayan Ecoregion. This method is developed to identify the most valuable areas of forests, which currently does not legally protect. These areas are planned to recommend for inclusion in the National Forest Heritage of Russia.
WOS,
Смотреть статью,
Scopus
Держатели документа:
Reshetnev Siberian State Aerosp Univ, Krasnoyarsk, Russia.
Siberian Fed Univ, Krasnoyarsk, Russia.
Altai Sayan Ecoreg Off WWF, Krasnoyarsk, Russia.
RAS, VN Sukachev Inst Forest SB, Krasnoyarsk, Russia.
Krasnoyarsk State Agrarian Univ, Krasnoyarsk, Russia.
Доп.точки доступа:
Antamoshkina, O. A.; Trofimova, N. V.; Antamoshkin, O. A.; Zelenkov, P. V.; Kovalev, I. V.
Impact of Silkmoth Outbreak on Taiga Wildfires
/ V. I. Kharuk, O. A. Antamoshkina // Contemp. Probl. Ecol. - 2017. - Vol. 10, Is. 5. - P556-562, DOI 10.1134/S1995425517050055. - Cited References:17. - The work was supported by the Russian Foundation for Basic Research, project no. 17-05-01257.
. - ISSN 1995-4255. - ISSN 1995-4263
РУБ Ecology
Кл.слова (ненормированные):
Siberian silkmoth outbreaks -- forest fires -- climate impact -- taiga forests
Аннотация: We provide a quantitative analysis of postoutbreak wildfire frequency within the confluence of the Yenisei and Angara rivers affected by the Siberian Silkmoth (Dendrolimus sibiricus Tschetv.). A catastrophic outbreak was observed in 1993-1996. It expanded to about 1 million ha and caused stand mortality on an area of about 460000 ha. For the outbreak area, the fire frequency was about 7 times higher when compared to the reference area; on the burned area, it was 20 times higher. The peak of fire activity within outbreak areas occurs in May-June, while that for undamaged coniferous stands is in July. The number of fires is correlated with the mean monthly air temperature (r = 0.65) of June. The area of fires displays a negative correlation with moisture conditions: precipitation (r = -0.53), drought index (SPEI: r = -0.57), and ground-cover moisture content (r = -0.57). Extensive fires prevail within outbreak areas (S > 1000 ha), while within the control there is a smaller area of fires. Multiple (reoccurring) wildfires are typical for pest outbreak areas. The area of these fires is related to their reoccurrence by logarithmic dependence (17% of the territory twice burned by forests fires, 5% on that burned three times, and 0.5% on that burned four times). Wildfires in the outbreak areas surpress the initial forest recovery by destroying the regeneration of conifers: 20 years after the outbreak, > 90% of disturbed areas are occupied by grass-bush and small-leaved cenoses.
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Держатели документа:
Russian Acad Sci, Sukachev Inst Forest, Siberian Branch, Akademgorodok 660036, Russia.
Siberian Fed Univ, Krasnoyarsk 660041, Russia.
Доп.точки доступа:
Kharuk, V. I.; Antamoshkina, O. A.; Russian Foundation for Basic Research [17-05-01257]
Кл.слова (ненормированные):
Siberian silkmoth outbreaks -- forest fires -- climate impact -- taiga forests
Аннотация: We provide a quantitative analysis of postoutbreak wildfire frequency within the confluence of the Yenisei and Angara rivers affected by the Siberian Silkmoth (Dendrolimus sibiricus Tschetv.). A catastrophic outbreak was observed in 1993-1996. It expanded to about 1 million ha and caused stand mortality on an area of about 460000 ha. For the outbreak area, the fire frequency was about 7 times higher when compared to the reference area; on the burned area, it was 20 times higher. The peak of fire activity within outbreak areas occurs in May-June, while that for undamaged coniferous stands is in July. The number of fires is correlated with the mean monthly air temperature (r = 0.65) of June. The area of fires displays a negative correlation with moisture conditions: precipitation (r = -0.53), drought index (SPEI: r = -0.57), and ground-cover moisture content (r = -0.57). Extensive fires prevail within outbreak areas (S > 1000 ha), while within the control there is a smaller area of fires. Multiple (reoccurring) wildfires are typical for pest outbreak areas. The area of these fires is related to their reoccurrence by logarithmic dependence (17% of the territory twice burned by forests fires, 5% on that burned three times, and 0.5% on that burned four times). Wildfires in the outbreak areas surpress the initial forest recovery by destroying the regeneration of conifers: 20 years after the outbreak, > 90% of disturbed areas are occupied by grass-bush and small-leaved cenoses.
WOS,
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Scopus
Держатели документа:
Russian Acad Sci, Sukachev Inst Forest, Siberian Branch, Akademgorodok 660036, Russia.
Siberian Fed Univ, Krasnoyarsk 660041, Russia.
Доп.точки доступа:
Kharuk, V. I.; Antamoshkina, O. A.; Russian Foundation for Basic Research [17-05-01257]
Phytomass stock and structure in derivative forest stand of central siberia
/ N. N. Koshurnikova [et al.] // International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM : International Multidisciplinary Scientific Geoconference, 2017. - Vol. 17: 17th International Multidisciplinary Scientific Geoconference, SGEM 2017 (29 June 2017 through 5 July 2017, ) Conference code: 130796, Is. 32. - P907-914, DOI 10.5593/sgem2017/32/S13.117
. -
Кл.слова (ненормированные):
Forests -- Organic matter -- Phytomass -- Siberia -- Biogeochemistry -- Biological materials -- Ecology -- Forestry -- Organic compounds -- Biological productivity -- Coniferous forests -- Data characterizing -- Forests -- Phytomass -- Root vegetation -- Secondary succession -- SIBERIA -- Reforestation
Аннотация: Data characterizing biological productivity of wooden layer in dark coniferous forests secondary succession stands of southern taiga subzone of West Siberian continental sector have been given. Thus, the obtained data prove that ecosystems of the same age group which vary in type of root vegetation forming, developing under the similar vitality conditions (temperature, moisture and nutrition) form different organic matter stores in phytomass. The wooden layer phytomass of secondary birch stands accumulates almost twice of organic matter (138—239 t/ha), compared with native fir stands of non-replacement regeneration (85—128 t/ha). The main part of phytomass stores is concentrated in stem wood and its absolute meaning increases with age. In secondary birch stands its part changes from 67 % in 60-year-old forest stand to 63 % in 100-year-old over mature forest stand. In native 50- and 90-year-old spruce-fir phytocenosis stem part in phytomass total store increases from 48 to 54 % and reaches 64 % in the age of 170. © SGEM2017. All Rights Reserved.
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Держатели документа:
Siberian Federal University, Krasnoyarsk, Russian Federation
V.N, Sukachev Institute of Forest SB RAS, Krasnoyarsk, Russian Federation
Siberian State Technological University, Krasnoyarsk, Russian Federation
Доп.точки доступа:
Koshurnikova, N. N.; Antamoshkina, O. A.; Makhnykina, A.; Zlenko, L. V.; Verkhovets, S. V.
Кл.слова (ненормированные):
Forests -- Organic matter -- Phytomass -- Siberia -- Biogeochemistry -- Biological materials -- Ecology -- Forestry -- Organic compounds -- Biological productivity -- Coniferous forests -- Data characterizing -- Forests -- Phytomass -- Root vegetation -- Secondary succession -- SIBERIA -- Reforestation
Аннотация: Data characterizing biological productivity of wooden layer in dark coniferous forests secondary succession stands of southern taiga subzone of West Siberian continental sector have been given. Thus, the obtained data prove that ecosystems of the same age group which vary in type of root vegetation forming, developing under the similar vitality conditions (temperature, moisture and nutrition) form different organic matter stores in phytomass. The wooden layer phytomass of secondary birch stands accumulates almost twice of organic matter (138—239 t/ha), compared with native fir stands of non-replacement regeneration (85—128 t/ha). The main part of phytomass stores is concentrated in stem wood and its absolute meaning increases with age. In secondary birch stands its part changes from 67 % in 60-year-old forest stand to 63 % in 100-year-old over mature forest stand. In native 50- and 90-year-old spruce-fir phytocenosis stem part in phytomass total store increases from 48 to 54 % and reaches 64 % in the age of 170. © SGEM2017. All Rights Reserved.
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Держатели документа:
Siberian Federal University, Krasnoyarsk, Russian Federation
V.N, Sukachev Institute of Forest SB RAS, Krasnoyarsk, Russian Federation
Siberian State Technological University, Krasnoyarsk, Russian Federation
Доп.точки доступа:
Koshurnikova, N. N.; Antamoshkina, O. A.; Makhnykina, A.; Zlenko, L. V.; Verkhovets, S. V.