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

: an atlas for the identification of trees, shrubs, dwarf shrubs and woody lianas from Russia = Анатомия древесины растений России : Атлас для идентификации древесины деревьев, кустарников, полукустарников и деревянистых лиан России / V.E. Benkova, F.H. Schweingruber. - Bern ; Stuttgart ; Wien : Haupt Verlag, 2004. - 456 с. : il, табл., карты. - eng. - rus. - ISBN 3-258-06412-1 : Б. ц.

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

Доп.точки доступа:
Schweingruber, F.H.; Швайнгрубер Ф.Х.; Бенькова, Вера Ефимовна
Свободных экз. нет

/ L. . Hellmann [et al.] // J. Geophys. Res.-Biogeosci. - 2013. - Vol. 118, Is. 1. - P68-76, DOI 10.1002/jgrg.20022. - Cited References: 76. - B. Sittler, B. Frauenberger, C. Lachenmeier, I. Pike, A. Verstege, D. Nievergelt, H. Linderson, and B. Held contributed to field and laboratory work. A. Bast and C. Ginzler provided insight on various mapping techniques. G. King and two anonymous reviewers commented on earlier manuscript versions. This work is supported by the Eva Mayr-Stihl Foundation. . - 9. - ISSN 0148-0227РУБ Environmental Sciences + Geosciences, Multidisciplinary

Аннотация: Arctic environments, where surface temperatures increase and sea ice cover and permafrost depth decrease, are very sensitive to even slight climatic variations. Placing recent environmental change of the high-northern latitudes in a long-term context is, however, complicated by too short meteorological observations and too few proxy records. Driftwood may represent a unique cross-disciplinary archive at the interface of marine and terrestrial processes. Here, we introduce 1445 driftwood remains from coastal East Greenland and Svalbard. Macroscopy and microscopy were applied for wood anatomical classification; a multi-species subset was used for detecting fungi; and information on boreal vegetation patterns, circumpolar river systems, and ocean current dynamics was reviewed and evaluated. Four conifer (Pinus, Larix, Picea, and Abies) and three deciduous (Populus, Salix, and Betula) genera were differentiated. Species-specific identification also separated Pinus sylvestris and Pinus sibirica, which account for similar to 40% of all driftwood and predominantly originate from western and central Siberia. Larch and spruce from Siberia or North America represents similar to 26% and similar to 18% of all materials, respectively. Fungal colonization caused different levels of driftwood staining and/or decay. Our results demonstrate the importance of combining wood anatomical knowledge with insight on boreal forest composition for successfully tracing the origin of Arctic driftwood. To ultimately reconstruct spatiotemporal variations in ocean currents, and to better quantify postglacial uplift rates, we recommend consideration of dendrochronologically dated material from many more circumpolar sites. Citation: Hellmann, L., W. Tegel, O. Eggertsson, F. H. Schweingruber, R. Blanchette, A. Kirdyanov, H. Gartner, and U. Buntgen (2013), Tracing the origin of Arctic driftwood, J. Geophys. Res. Biogeosci., 118, 68-76, doi:10.1002/jgrg.20022.

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[Hellmann, Lena
Schweingruber, Fritz Hans
Gaertner, Holger
Buentgen, Ulf] Swiss Fed Res Inst, WSL, CH-8903 Birmensdorf, Switzerland
[Hellmann, Lena
Buentgen, Ulf] Oeschger Ctr Climate Change Res, Bern, Switzerland
[Tegel, Willy] Univ Freiburg, Inst Forest Growth IWW, D-79106 Freiburg, Germany
[Eggertsson, Olafur] Iceland Forest Serv, Reykjavik, Iceland
[Blanchette, Robert] Univ Minnesota, Dept Plant Pathol, St Paul, MN USA
[Kirdyanov, Alexander] VN Sukachev Inst Forest SB RAS, Krasnoyarsk, Russia

Доп.точки доступа:
Hellmann, L...; Tegel, W...; Eggertsson, O...; Schweingruber, F.H.; Blanchette, R...; Kirdyanov, A...; Gartner, H...; Buntgen, U...

/ 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] / M. A. Korets, A. A. Onuchin // Contemp. Probl. Ecol. - 2008. - Vol. 1, Is. 3. - P353-355, DOI 10.1134/S1995425508030107. - Cited References: 7. - The studies were supported by the Foundation of National Science Support and the INTAS-01-0052 project. . - 3. - ISSN 1995-4255РУБ Ecology

Аннотация: Two algorithms are proposed to model ecologically substantiated forest water protection areas using digital elevation method (DEM) and spatial features of a geographic information system (GIS).

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Держатели документа:
[Korets, M. A.
Onuchin, A. A.] RAS, Siberian Branch, Sukachev Inst Forest, Krasnoyarsk 660036, Russia

Доп.точки доступа:
Korets, M.A.; Onuchin, A.A.

[Text] / G. F. Antonova, V. V. Stasova, T. N. Varaksina // Russ. J. Plant Physiol. - 2009. - Vol. 56, Is. 2. - P190-199, DOI 10.1134/S1021443709020071. - Cited References: 30. - This work was supported by the Russian Foundation for Basic Research, project no. 06-04-49501. . - 10. - ISSN 1021-4437РУБ Plant Sciences

Аннотация: Changes in the levels of ascorbic acid (AA), its oxidized form, dehydroascorbic acid (DHA), and uronic acids as initial precursors for the AA synthesis were studied as related to the degree of xylem and phloem cell development in the course of early and late wood formation in the trunks of Scots pine (Pinus sylvestris L.). The cells of mature and conducting phloem, cambial zone, differently developed cells in the zones of cell enlargement and maturation were obtained by successive scraping tissue layers from trunk segments of 20-25-year-old trees; tissue identification was checked anatomically and histochemically. The contents of compounds tested were calculated per dry weight and per cell basis. We found great differences in the contents of AA and DHA and also in their ratio in dependence of the wood type developing in the pine trunks during growth period and on the stage of differentiation of xylem and phloem cells. Changes in the AA content during xylem cell differentiation were accompanied by changes in the content of uronic acids. The amounts of AA, DHA, and uronic acids were the highest at the stage of early lignification and reduced with tracheid maturation. The AA to DHA ratio changed differently in the course of early and late xylem lignification. It reduced from the start of lignification to the formation of early mature xylem and, in contrast, increased in mature late wood; this indicates a difference in the level of redox processes in these tissues.

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Держатели документа:
[Antonova, G. F.
Stasova, V. V.
Varaksina, T. N.] Russian Acad Sci, Sukachev Inst Forest, Siberian Div, Akad Gorodok, Krasnoyarsk 660036, Russia

Доп.точки доступа:
Antonova, G.F.; Stasova, V.V.; Varaksina, T.N.; Russian Foundation for Basic Research [06-04-49501]

[Text] / V. . Ossipov [et al.] // J. Chromatogr. A. - 1996. - Vol. 721, Is. 1. - P59-68, DOI 10.1016/0021-9673(95)00765-2. - Cited References: 30 . - 10. - ISSN 0021-9673РУБ Biochemical Research Methods + Chemistry, Analytical

Аннотация: The following major phenolics with non-flavonoid structure were identified from leaves of Betula pubescens (white birch) and Betula pendula (silver birch): 1-O-galloyl-beta-d-(2-O-acetyl)-glucopyranose, 1-(4 ''-hydroxyphenyl)-3'-oxopropyl-beta-d-glucopyranose, gallic, chlorogenic, neo-chlorogenic, cis- and trans-forms of 3- and 5-p-coumaroylquinic acids. Chromatographic (analytical and preparative HPLC), chemical (hydrolysis) and spectroscopic (UV,H-1 and C-13 NMR, MS) techniques were applied for separation, isolation, purification and identification of these phenolics. Moreover, 33 low-molecular-mass phenolics were detected and quantitated and their occurrence was compared in leaves of white and silver birches.

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UNIV TURKU,ECOL ZOOL LAB,SF-20500 TURKU,FINLAND
INST FOREST,LAB ECOL BIOCHEM WOODY PLANTS,KRASNOYARSK 660036,RUSSIA

Доп.точки доступа:
Ossipov, V...; Nurmi, K...; Loponen, J...; Haukioja, E...; Pihlaja, K...

/ M. Y. Chernetskiy, A. P. Shevyrnogov, N. F. Ovchinnikova // Proceedings of SPIE - The International Society for Optical Engineering. - 2011. - Vol. 8174: Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII (19 September 2011 through 21 September 2011, Prague) Conference code: 87191. - Ст. 1, DOI 10.1117/12.896748 . -
Аннотация: The time series of various parameters of satellite imagery (NDVI/EVI, temperature) during the growing season were considered in this work. This means that satellite images were considered not like a number of single scenes but like temporal sequences. Using time series enables estimating the integral phenological properties of vegetation. The basis of the developed technique is to use one of the methods of transformation of the multidimensional space in order to get the principal components. The technique is based on considering each dimension of the multidimensional space as satellite imagery for a specific date range. The technique automatically identifies spatial patterns of vegetation that are similar by phenology and growing conditions. Subsequent analysis allowed identification of the belonging of derived classes. Thus, the technique of revealing the spatial distribution of different dynamical vegetation patterns based on the phenological characteristics has been developed. The technique is based on a transformation of the multidimensional space of states of vegetation. Based on the developed technique, areas were obtained with similar interannual trends. В© 2011 SPIE.

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Держатели документа:
Institute of Biophysics of SB RAS, Krasnoyarsk 660036, Akademgorodok, Russian Federation
V.N. Sukachev Institute of Forest of SB RAS, Krasnoyarsk 660036, Akademgorodok, Russian Federation
Siberian Federal University, Kyrensky st., 26, Krasnoyarsk, 660074, Russian Federation

Доп.точки доступа:
Chernetskiy, M.Y.; Shevyrnogov, A.P.; Ovchinnikova, N.F.

/ V. D. Konstantinov, S. M. Gorozhankina // Mapping Sciences and Remote Sensing. - 1997. - Vol. 34, Is. 1. - P40-50 . - ISSN 0749-3878
Аннотация: Two specialists on the forest and wetland ecosystems of Siberia describe principles and measures employed in the establishment of a regular program of ecological mapping at Russia's Central Siberian Biosphere Preserve, as well as efforts to standardize remote-sensing-based monitoring efforts through improved procedures for selection of reference plots for ground truth determination. Issues addressed include the identification of principal ecological factors serving as landscape classification criteria, the need for better methods of interpreting an entire range of forest-wetland communities on remote sensing imagery, innovations in data gathering procedures in the field, selection of natural models [representative tracts] for monitoring in view of the technical infeasibility of monitoring the entire preserve, and selection of reference plots within each model for ground truth.

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Forestry Institute, Siberian Section, Russian Academy of Sciences, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Konstantinov, V.D.; Gorozhankina, S.M.

[Text] / S. M. GOROZHANKINA // SOVIET JOURNAL OF REMOTE SENSING. - 1990. - Vol. 6, Is. 3. - P358-372. - Cited References: 8 . - 15. - ISSN 0275-911XРУБ Geography + Geology + Remote Sensing + Imaging Science & Photographic Technology


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GOROZHANKINA, S.M.

/ S. K. Farber [et al.] // Contemp. Probl. Ecol. - 2014. - Vol. 7, Is. 3. - P268-274, DOI 10.1134/S1995425514030044 . - ISSN 1995-4263
Аннотация: Methods of identifying high conservation value forests (HCVFs) have been proposed in correspondence with the Russian national certification standard accredited by the Forest Stewardship Council (FCS). A landscape-typological approach has been assumed as a basis for HCVF identification. In fact, the HCVF concept is a modified interpretation of protective forest organization scheme. The methods can be applied in other Siberian regions. © 2014 Pleiades Publishing, Ltd.

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Держатели документа:
Sukachev Institute of Forest, Siberian Branch, Russian Academy of Sciences, Akademgorodok 50/28, Krasnoyarsk, 660036, Russian Federation

Доп.точки доступа:
Farber, S.K.; Sokolov, V.A.; Vtyurina, O.P.; Kuzmik, N.S.

[Текст] / N. I. Kirichenko [и др.] // Лесные биогеоценозы бореальной зоны: география, структура, функции, динамика. Материалы Всероссийской научной конференции с международным участием, посвященной 70-летию создания Института леса им. В.Н. Сукачева СО РАН 16-19 сентября 2014 г., Красноярск. - Новосибирск : Изд-во СО РАН, 2014. - С. 632-634. - Библиогр. в конце ст.
Аннотация: A genetic library is being currently developed for leafmining insects, attacking native and alien woody plants in Siberia, that may allow a quick and reliable identification of the immature stages of potential pests and invaders. Integration of molecular data with ecological characteristics of leafminers, particularly larval and pupal morphology, and diagnostic characteristics of mines will accelerate the detection and tracking of insect pests.

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Институт леса им. В.Н. Сукачева СО РАН : 660036, Красноярск, Академгородок, 50, стр. 28

Доп.точки доступа:
Kirichenko, Natal'ya Ivanovna; Кириченко, Наталья Ивановна; Augustin, S.; Roques, A.; Роквес А.; Van Nieukerken, E. J.; Doorenweerd , C.; Lopez-Vaamonde, C.

/ 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 . -
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.

/ T. T. Efremova, A. F. Avrova, S. P. Efremov // Eurasian Soil Sci. - 2016. - Vol. 49, Is. 9. - P969-978, DOI 10.1134/S1064229316090039 . - ISSN 1064-2293
Аннотация: The approaches of multivariate statistics have been used for the numerical classification of morphogenetic types of moss litters in swampy spruce forests according to their physicochemical properties (the ash content, decomposition degree, bulk density, pH, mass, and thickness). Three clusters of moss litters— peat, peaty, and high-ash peaty—have been specified. The functions of classification for identification of new objects have been calculated and evaluated. The degree of decomposition and the ash content are the main classification parameters of litters, though all other characteristics are also statistically significant. The final prediction accuracy of the assignment of a litter to a particular cluster is 86%. Two leading factors participating in the clustering of litters have been determined. The first factor—the degree of transformation of plant remains (quality)—specifies 49% of the total variance, and the second factor—the accumulation rate (quantity)— specifies 26% of the total variance. The morphogenetic structure and physicochemical properties of the clusters of moss litters are characterized. © 2016, Pleiades Publishing, Ltd.

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Держатели документа:
Sukachev Institute of Forestry, Siberian Branch, Russian Academy of Sciences : Akademgorodok 50/28, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Efremova, T. T.; Avrova, A. F.; Efremov, S. P.

/ A. V. Panov [et al.] // IOP Conference Series: Earth and Environmental Science : Institute of Physics Publishing, 2016. - Vol. 48: 9th International Conference and Early Career Scientists School on Environmental Observations, Modelling and Information Systems, ENVIROMIS 2016 (11 July 2016 through 16 July 2016, ) Conference code: 125703, Is. 1, DOI 10.1088/1755-1315/48/1/012017 . -
Аннотация: Summer 2012 was one of the extreme wildfire years in Siberia. At the surface air monitoring station "ZOTTO" (60°48'N, 89°21'E, 114 m a.s.l.) in Central Siberia we observed biomass burning (BB) influence on the ongoing atmospheric measurements within more than 50 % of the time in June-July 2012 that indicates a 30 times greater wildfire signal compared to previously reported ordinary biomass burning signature for the study area. While previous studies thoroughly estimated a relative input of BB into aerosol composition (i.e. size distribution, physical and optical parameters etc.) at ZOTTO, in this paper we characterize the source apportionment of the smoke aerosols with molecular tracer techniques from large-scale wildfires occurred in 2012 in the two prevailing types of Central Siberian ecosystems: complexes of pine forests and bogs and dark coniferous forests. Wildfires in the selected ecosystems are highly differed by their combustion phase (flaming/smoldering), the type of fire (crown/ground), biomass fuel, and nature of soil that greatly determines the smoke particle composition. Anhydrosugars (levoglucosan and its isomers) and lignin phenols taken as indicators of the sources and the state of particulate matter (PM) inputs in the specific fire plumes were used as powerful tools to compare wildfires in different environmental conditions and follow the role and contribution of different sources of terrestrial organic matter in the transport of BB pollutants into the pristine atmosphere of boreal zone in Central Siberia. © Published under licence by IOP Publishing Ltd.

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Держатели документа:
Laboratory of Biogeochemical Cycles in Forest Ecosystems, V.N. Sukachev Institute of Forest, SB RAS, Akademgorodok 50/28, Krasnoyarsk, Russian Federation
International Laboratory of Permafrost Ecosystems, V.N. Sukachev Institute of Forest, SB RAS, Akademgorodok 50/28, Krasnoyarsk, Russian Federation
Laboratory of Forest Fire Research, V.N. Sukachev Institute of Forest, SB RAS, Akademgorodok 50/28, Krasnoyarsk, Russian Federation
Department of Oceanography, Texas A and M University, College Station, TX, United States
Department of Marine Sciences, Texas A and M University, 200 Seawolf Parkway, Galveston, TX, United States
Max Planck Institute for Chemistry, Hahn-Meitner-Weg 1, Mainz, Germany
Max Planck Institute for Biogeochemistry, Hans Knoell 10, Jena, Germany

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Panov, A. V.; Prokushkin, A. S.; Korets, M. A.; Bryukhanov, A. V.; Myers-Pigg, A. N.; Louchouarn, P.; Sidenko, N. V.; Amon, R.; Andreae, M. O.; Heimann, M.

/ I. V. Kornienko [et al.] // Mitochondrial DNA Part B Resour. - 2018. - Vol. 3, Is. 2. - P596-598, DOI 10.1080/23802359.2018.1473721 . - ISSN 2380-2359
Аннотация: We present a complete sequence and an annotation of the mitochondrial genome of the woolly mammoth (Mammuthus primigenius) found in 2012 on Maly Lyakhovsky Island (North-Eastern Siberia, Russia). The genome was 16,851 bp long and contained 13 protein-coding, 22 tRNA, and 2 rRNA genes. It was AT reach (61.3%) with A = 32.9%, T = 28.4%, C = 25.3%, and G = 13.4%. © 2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

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Department of Strategic Research, Southern Scientific Centre, Russian Academy of Sciences, Rostov-on-Don, Russian Federation
Laboratory of Biological Objects Identification, Southern Federal University, Rostov-on-Don, Russian Federation
Department of Forensic Medicine, Mechnikov North-Western State Medical University, Russian Federation
Laboratory of Forest Genetics and Selection, V. N. Sukachev Institute of Forest, Siberian Branch of Russian Academy of Sciences, Krasnoyarsk, Russian Federation
Laboratory of Forest Genomics, Genome Research and Education Center, Siberian Federal University, Krasnoyarsk, Russian Federation
Institute of Applied Ecology of the North, North-Eastern Federal University, Yakutsk, Russian Federation
Department of Forest Genetics and Forest Tree Breeding, Georg-August University of Gottingen, Gottingen, Germany
Laboratory of Population Genetics, Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russian Federation
Department of Ecosystem Science and Management, Texas A&M University, College Station, TX, United States

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Kornienko, I. V.; Faleeva, T. G.; Oreshkova, N. V.; Grigoriev, S. E.; Grigoreva, L. V.; Simonov, E. P.; Kolesnikova, A. I.; Putintseva, Y. A.; Krutovsky, K. V.

[Текст] : статья / Н. В. Орешкова [и др.] // Генетика. - 2019. - Т. 55, № 4. - С. 418-425, DOI 10.1134/S001667581904009X . - ISSN 0016-6758
   Перевод заглавия: Development of Nuclear Microsatellite Markers with Long (Tri-, Tetra-, Penta-and Hexanucleotide) Motifs for Three Larch Species Based on the de novoWhole Genome Sequencing of Siberian Larch (Larix sibirica Ledeb.)

УДК

575.113

582.475.4

Аннотация: Лиственница сибирская Larix sibirica Ledeb. является одной из преобладающих бореальных пород в Евразии и имеет высокую экономическую и экологическую ценность. Однако, несмотря на это, разработка и использование микросателлитных маркеров для ее исследования остаются недостаточными. Микросателлитные маркеры уже долгое время являются признанным инструментом для оценки популяционной изменчивости и структуры видов. В настоящей работе был проведен поиск простых три-, тетра-, пента- и гексануклеотидных тандемных повторов в геномной референсной de novo сборке лиственницы сибирской, локусы которой легко генотипируются даже путем простого гель-электрофореза. Всего было найдено более тысячи предположительных микросателлитных локусов. На основе этих данных были разработаны и проверены 60 пар олигонуклеотидных ПЦР праймеров. По итогам тестирования праймеров на образцах ДНК из трех видов лиственницы (L. sibirica Ledeb., L. gmelinii (Rupr.) Rupr. и L. cajanderi Mayr.) были отобраны 14 наиболее перспективных полиморфных локусов, которые могут успешно применяться для изучения и идентификации не только лиственницы сибирской, но также лиственниц Гмелина и Каяндера.
Siberian larch Larix sibirica Ledeb. is one of the major boreal tree species in Eurasia and has a considerable economic and ecological value. Despite that importance, the development and use of microsatellite markers in this species remain limited. Microsatellite markers are considered to be a valuable tool for estimation of population diversity and structure. Availability of draft reference assembly of the Siberian larch genome allowed us to identify 1015 microsatellite loci or simple sequence repeats (SSRs) with tri-, tetra-, penta- and hexa-nucleotide motifs. For 60 of them PCR primers were designed and tested for amplification in L. sibirica and for their cross-genus transferability to L. gmelinii (Rupr.) Rupr. and L. cajanderi Mayr. Here we present a set of 14 reliable and polymorphic nuclear SSR markers that can be used for further population genetic studies, breeding programs and timber origin identification.

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Держатели документа:
Геттингенский университет им. Георга-Августа
Институт леса им. В.Н. Сукачева Сибирского отделения Российской академии наук : 660036, Красноярск, Академгородок, 50, стр. 28
Институт общей генетики им. Н.И. Вавилова Российской академии наук
Научно-образовательный центр геномных исследований Сибирского федерального университета
Техасский АМ университет, Колледж Стейшн

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Орешкова, Наталья Викторовна; Бондар, Е.И.; Bondar E.I.; Путинцева, Ю.А.; Putintseva Yu. A.; Шаров, В.В.; Sharov V.V.; Кузьмин, Д.А.; Kuzmin D.A.; Крутовский, К.В.; Krutovsky K.V.

/ N. V. Oreshkova [et al.] // Russ. J. Genet. - 2019. - Vol. 55, Is. 4. - P444-450, DOI 10.1134/S1022795419040094. - Cited References:22. - The study was done as a part of the project "Genomics of the Key Boreal Forest Conifer Species and Their Major Phytopathogens in the Russian Federation" funded by the Government of the Russian Federation (grant no. 14.Y26.31.0004). . - ISSN 1022-7954. - ISSN 1608-3369РУБ Genetics & Heredity

Аннотация: Siberian larch (Larix sibirica Ledeb.) is one of the major boreal tree species in Eurasia and has a considerable economic and ecological value. Despite that importance, the development and use of microsatellite markers in this species remain limited. Microsatellite markers are considered to be a valuable tool for estimation of population diversity and structure. Availability of a draft reference assembly of the Siberian larch genome allowed us to identify 1015 microsatellite loci or simple sequence repeats (SSRs) with tri-, tetra-, penta-, and hexanucleotide motifs. For 60 of them PCR primers were designed and tested for amplification in L. sibirica and for their within-genus transferability to L. gmelinii (Rupr.) Rupr. and L. cajanderi Mayr. Here, we present a set of 14 reliable and polymorphic new nuclear SSR markers that can be used for further population genetic studies, breeding programs, and timber origin identification.

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Держатели документа:
Siberian Fed Univ, Genome Res & Educ Ctr, Krasnoyarsk 660036, Russia.
Russian Acad Sci, Siberian Branch, Sukachev Inst Forest, Krasnoyarsk 660036, Russia.
Georg August Univ Gottingen, D-37077 Gottingen, Germany.
Russian Acad Sci, Vavilov Inst Gen Genet, Moscow 119991, Russia.
Texas A&M Univ, College Stn, TX 77843 USA.

Доп.точки доступа:
Oreshkova, N. V.; Bondar, E. I.; Putintseva, Yu. A.; Sharov, V. V.; Kuzmin, D. A.; Krutovsky, K. V.; Krutovsky, Konstantin; Government of the Russian Federation [14.Y26.31.0004]

/ C. Morales-Rodriguez [et al.] // NeoBiota. - 2019. - Is. 47. - P95-123, DOI 10.3897/neobiota.47.34276. - Cited References:89. - This work was supported by COST Action Global Warning (FP1401). DLM and YB contribution was also supported by the Russian Foundation for Basic Research (Grant No. 17-04-01486). MG was supported by Ministry of Education, Science and Technological Development of the Republic of Serbia, Grant III43002. MKA was supported by the Ministry of Science and Higher Education of the Republic of Poland. NK was supported by Le Studium foundation (France) and RFBR (Grant No. 19-04-01029). RE, IF and MK contribution was also supported by CABI with core financial support from its member countries (see http://www.cabi.org/about-cabi/who-we-work-with/key-donors/for details). IF contribution was further supported through a grant from the Swiss State Secretariat for Science, Education and Research (Grant C15.0081, awarded to RE). . - ISSN 1619-0033. - ISSN 1314-2488РУБ Biodiversity Conservation + Ecology

Аннотация: The number of invasive alien pest and pathogen species affecting ecosystem functioning, human health and economies has increased dramatically over the last decades. Discoveries of invasive pests and pathogens previously unknown to science or with unknown host associations yet damaging on novel hosts highlights the necessity of developing novel tools to predict their appearance in hitherto naive environments. The use of sentinel plant systems is a promising tool to improve the detection of pests and pathogens before introduction and to provide valuable information for the development of preventative measures to minimize economic or environmental impacts. Though sentinel plantings have been established and studied during the last decade, there still remains a great need for guidance on which tools and protocols to put into practice in order to make assessments accurate and reliable. The sampling and diagnostic protocols chosen should enable as much information as possible about potential damaging agents and species identification. Consistency and comparison of results are based on the adoption of common procedures for sampling design and sample processing. In this paper, we suggest harmonized procedures that should be used in sentinel planting surveys for effective sampling and identification of potential pests and pathogens. We also review the benefits and limitations of various diagnostic methods for early detection in sentinel systems, and the feasibility of the results obtained supporting National Plant Protection Organizations in pest and commodity risk analysis.

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Держатели документа:
Univ Tuscia, Dept Innovat Biol Agrofood & Forest Syst, Viterbo, Italy.
Tech Univ Braunschwei, Zool Inst, Braunschweig, Germany.
INRA, Forest Zool Res Unit, Orleans, France.
Russian Acad Sci, Siberian Branch, Sukachev Inst Forest,Dept Forest Zool, Div Fed Res Ctr Krasnoyarsk Sci Ctr Siberian Bran, Krasnoyarsk, Russia.
Natl Res Inst Rural Engn Water & Forests INRGREF, Ariana, Tunisia.
Inst Bot, Nat Res Ctr, Vilnius, Lithuania.
Agr Univ Tirana, Dept Plant Protect, Tirana, Albania.
Ukrainian Res Inst Forestry & Forest Meliorat, Dept Forest Protect, Kharkov, Ukraine.
Isparta Appl Sci Univ, Dept Forest Engn, Isparta, Turkey.
Estonian Univ Life Sci Forestry & Rural Engn, Tartu, Estonia.
CABI, Ecosyst Management & Risk Anal & Invas Ecol, Delemont, Switzerland.
Univ Belgrade, Fac Forestry, Belgrade, Serbia.
Slovenian Forestry Inst, Dept Forest Protect, Ljubljana, Slovenia.
Agr Univ Krakow, Dept Forest Protect Entomol & Forest Climatol, Inst Forest Ecosyst Protect, Fac Forestry, Krakow, Poland.
CABI, Risk Anal & Invas Ecol, Delemont, Switzerland.
Ukrainian Natl Forestry Univ, Forestry Dept, Inst Forestry & Pk Gardening, Lvov, Ukraine.
St Petersburg State Forest Tech Univ, Dept Forest Protect Wood Sci & Game Management, St Petersburg, Russia.
Cardinal Stefan Wyszynski Univ Warsaw, Fac Biol & Environm Sci, Warsaw, Poland.
Agrifood & Biosci Inst, Grassland & Plant Sci Branch, Belfast, Antrim, North Ireland.
Swiss Fed Inst Forest Snow & Landscape Res WSL, Forest Hlth & Biot Interact, Birmensdorf, Switzerland.
CNR, Inst Sustainable Plant Protect, Sesto Fiorentino, Italy.
Norwegian Inst Bioecon Res Plant Hlth & Biotechno, As, Norway.
Univ Tartu, Inst Ecol & Earth Sci, Tartu, Estonia.
Nat Resources Inst Finland, Nat Resources, Kuopio, Finland.
Swedish Univ Agr Sci, Southern Swedish Forest Res Ctr, Alnarp, Sweden.
Univ Aberdeen, Dept Plant & Soil Sci, Aberdeen, Scotland.
Hellenic Agr Org Demeter, Dept Deciduous Fruit Frees, Inst Plant Breeding & Genet Resources, Naousa, Greece.
Siberian Fed Univ, Inst Ecol & Geog, Krasnoyarsk, Russia.

Доп.точки доступа:
Morales-Rodriguez, Carmen; Anslan, Sten; Auger-Rozenberg, Marie-Anne; Augustin, Sylvie; Baranchikov, Yuri; Bellahirech, Amani; Burokiene, Daiva; Cepukoit, Dovile; Cota, Ejup; Davydenko, Kateryna; Lehtijarvi, H. Tugba Dogmus; Drenkhan, Rein; Drenkhan, Tiia; Eschen, Rene; Franic, Iva; Glavendekic, Milka; de Groot, Maarten; Kacprzyk, Magdalena; Kenis, Marc; Kirichenko, Natalia; Matsiakh, Iryna; Musolin, Dmitry L.; Nowakowska, Justyna A.; O'Hanlon, Richard; Prospero, Simone; Roques, Alain; Santini, Alberto; Talgo, Venche; Tedersoo, Leho; Uimari, Anne; Vannini, Andrea; Witzell, Johanna; Woodward, Steve; Zambounis, Antonios; Cleary, Michelle; Nowakowska, Justyna; COST Action Global Warning [FP1401]; Russian Foundation for Basic Research [17-04-01486]; Ministry of Education, Science and Technological Development of the Republic of Serbia [III43002]; Ministry of Science and Higher Education of the Republic of Poland; Le Studium foundation (France); RFBR [19-04-01029]; CABI; Swiss State Secretariat for Science, Education and Research [C15.0081]

/ V. V. Ivanov, A. N. Borisov, A. E. Petrenko // Lesnoy Zh. - 2019. - Is. 3. - С. 9-16, DOI 10.17238/issn0536-1036.2019.3.9. - Cited References:15. - The research was carried out within the framework of fundamental scientific research programs of the Russian Academy of Sciences no. 0356-2016-0706. State Registration (TsITIS) no. AAAA-A17-117101940014-9 "Theoretical Foundations for the Ecological and Resource Potential Conservation of Siberian Forests in the Conditions of Increasing Anthropogenic Pressure and Climatic Anomalies". . - ISSN 0536-1036РУБ Forestry

Аннотация: Crown size determines tree's life space formation, its growth and development. The research object was a middle-aged pine stand spatially included in the Krasnoyarsk island forest-steppe. The permanent trial plot of 0.15 ha size with over 300 trees was established in high-yield green moss pine forest. Each tree on the plot was mapped and assigned with an individual number; its diameter at breast height was measured. A large-scale survey of the trial plot with resolution of 25 cm was acquired using the unmanned aerial vehicle (UAV). The trial plot identification on the image and its matching with the land-based mapping data were performed in ArcMap. In this program crowns of all trees are outlined and areas of their projections are calculated using GIS-technology methods. The data analysis showed a close correlation between crown projection contours and areas and the field data. Dominance area (S) was used as an available resource valuation for a tree in the competition conditions in a forest stand. Dominance area is defined as an area, where each individual tree has dominating influence in space around it and obtains light and soil resource in assumption that this influence is directly proportional to sample size and inverse to squared distance to it. It was found that crowns of rare and medium density with projection area (S-KP) of 2...6 m(2) are formed in case of a low dominance area (less than 6 m(2)). Crowns with S of 6...12 m(2) have high density and projection area up to 10 m(2) and length more than 40 % of tree height. The dynamics of tree radial increment after thinning at the age of 37 was studied depending on the dominance area increase. During 4 years after thinning, annual radial increment increases up to 2 times with increase of available resource. Regression analysis has shown strong correlation between crown projection area and dominance area with a correlation coefficient R = 0.84. Use of UAV is a promising, low-cost and effective technique of distance studying the tree stand structure. Office analysis of images allows to obtain crown projection area characteristics. These data can be used in improvement thinning and forming of even-aged pine stand canopy, which provide the maximum use of light and soil resource and effective ecological forest functioning.

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Держатели документа:
Russian Acad Sci, VN Sukachev Inst Forest SB RAS, Fed Res Ctr, Agr,Krasnoyarsk Sci Ctr,Siberian Branch, Akademgorodok 50,Stroyeniye 28, Krasnoyarsk 660036, Russia.
Russian Acad Sci, VN Sukachev Inst Forest SB RAS, Fed Res Ctr, Engn,Krasnoyarsk Sci Ctr,Siberian Branch, Akademgorodok 50,Stroyeniye 28, Krasnoyarsk 660036, Russia.
Russian Acad Sci, VN Sukachev Inst Forest SB RAS, Fed Res Ctr, Biol,Krasnoyarsk Sci Ctr,Siberian Branch, Akademgorodok 50,Stroyeniye 28, Krasnoyarsk 660036, Russia.

Доп.точки доступа:
Ivanov, V. V.; Borisov, A. N.; Petrenko, A. E.; Russian Academy of Sciences [0356-2016-0706]; [AAAA-A17-117101940014-9]

/ A. V. Lapko [et al.] // Optoelectron. Instrum. Data Proc. - 2019. - Vol. 55, Is. 3. - P230-236, DOI 10.3103/S8756699019030038. - Cited References:18. - This work was supported by the Russian Foundation for Basic Research (Grant No. 18-01-00251). . - ISSN 8756-6990. - ISSN 1934-7944РУБ Physics, Multidisciplinary

Аннотация: A nonparametric algorithm of automatic classification of large arrays of statistical data is considered. Its synthesis is based on decomposition of initial data. The results of decomposition form a set of centers of multidimensional intervals and the corresponding frequencies of occurrence of values of random variables. Based on information obtained, classes corresponding to single-mode fragments of the probability density of features of examined objects are detected. The spatial interpretation of automatic classification results is analyzed. The nonparametric algorithms developed in the study are important tools of processing of data obtained by remote sensing of natural resources.

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Держатели документа:
Russian Acad Sci, Siberian Branch, Inst Computat Modeling, Akademgorodok 50,Bldg 44, Krasnoyarsk 660036, Russia.
Russian Acad Sci, Siberian Branch, Sukachev Inst Forest, Akademgorodok 50,Bldg 28, Krasnoyarsk 660036, Russia.
Reshetnev Siberian Univ Sci & Technol, Pr Im Gazety Krasnoyarskii Rabochii 31, Krasnoyarsk 660037, Russia.

Доп.точки доступа:
Lapko, A. V.; Lapko, V. A.; Im, S. T.; Tuboltsev, V. P.; Avdeenok, V. A.; Russian Foundation for Basic Research [18-01-00251]