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

: материалы временных коллективов / N. F. Ovchinnikova // 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. 42-45. - Библиогр. в конце ст.
Аннотация: The long-term research of forest vegetation dynamics has been carried out in the West Sayan mountains on permanent sample plots since 1966. Research objects are kedr (Pinus sibirica), fir (Abies sibirica), kedr - fir forests and second growth stands of different structure and age after cutting. The research purpose was finding of regularities in age-altitude dynamics of forest recovery process under natural and anthropogenic impact.

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

Доп.точки доступа:
Овчинникова, Наталья Феликсовна

/ 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.

[Text] / K. . Mokany, R. J. Raison, A. S. Prokushkin // Glob. Change Biol. - 2006. - Vol. 12, Is. 1. - P84-96, DOI 10.1111/j.1365-2486.2005.001043.x. - Cited References: 39 . - 13. - ISSN 1354-1013РУБ Biodiversity Conservation + Ecology + Environmental Sciences

Аннотация: One of the most common descriptors of the relationship between root and shoot biomass is the root : shoot ratio, which has become a core method for estimating root biomass from the more easily measured shoot biomass. Previous reviews have examined root : shoot ratio data, but have only considered particular vegetation types and have not always critically reviewed the data used. Reliable root : shoot ratios are needed for a wide range of vegetation types in order to improve the accuracy of root biomass estimates, including those required for estimating the effects of land management and land use change in National Greenhouse Gas Inventories. This study reviewed root : shoot ratios in terrestrial biomes. A key facet of our analysis was a critical methodological review, through which unreliable data were identified and omitted on the basis of specific criteria. Of the 786 root : shoot ratio observations collated, 62% were omitted because of inadequate or unverifiable root sampling methods. When only the reliable data were examined, root : shoot ratios were found to be negatively related to shoot biomass, mean annual precipitation, mean annual temperature, forest stand age, and forest stand height. Although a single allometric equation derived in this study reliably predicted root biomass from shoot biomass for forests and woodlands, in general, the use of vegetation-specific root : shoot ratios were found to be a more accurate method for predicting root biomass. When the root : shoot ratio data collated here were applied to an analysis of the global carbon budget, there was a 50% increase in estimated global root carbon stock, and a 12% increase in estimated total carbon stock of terrestrial vegetation. The use of the vegetation-specific root : shoot ratios presented in this study is likely to substantially improve the accuracy of root biomass estimates for purposes such as carbon accounting and for studies of ecosystem dynamics.

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Держатели документа:
Cooperat Res Ctr Greenhouse Accounting, Canberra, ACT 2601, Australia
CSIRO Forestry & Forest Prod, Kingston, ACT 2604, Australia
Russian Acad Sci, Siberian Branch, Sukachev Inst Forest, Krasnoyarsk 660036, Russia

Доп.точки доступа:
Mokany, K...; Raison, R.J.; Prokushkin, A.S.

/ 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.

/ 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.

/ R. A. Monserud, A. A. Onuchin, N. M. Tchebakova // Forest Ecology and Management. - 1996. - Vol. 82, Is. 1-3. - P59-67 . - ISSN 0378-1127
Аннотация: With growing concern about predicted global warming, increasing attention is being paid to the phytomass (living plant mass) components of forest stands and their role in the carbon cycle. The ability to predict phytomass components from commonly available inventory data would facilitate our understanding of the latter. We focus on Scots pine (Pinus sylvestris L.) stands in Russia, with the objective of predicting stand phytomass (Mg ha -1) for the four major stand components: needles, crown, stems, and roots. The study area includes regions in Russia where Scots pine is a stand-forming species: from European Russia (33В°E) to Yakutia (130В°E) in eastern Siberia. To ensure that results will be widely applicable, only variables consistently measured in forest inventories were considered as possible predictors: stand age, site quality class, and stocking (stand stem volume with bark, m 3 ha -1). Stand phytomass data were obtained from numerous regional and local phytomass studies, and supplemented with additional unpublished data. This is the first comprehensive study synthesizing stand level phytomass relations for P. sylvestris for most of its range in Russia. The combined results from over 18 regional and local phytomass studies provide a level of generality that is not possible with individual local studies. In addition to estimating stand phytomass components across a wide range of conditions, these phytomass models can also be used to verify carbon allocation rules in process-based models.

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Держатели документа:
Intermountain Research Station, USDA Forest Service, Moscow, ID 83843, United States
Forest Institute, Siberian Br. of Russ. Acad. of Sci., Akademgorodok 660036, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Monserud, R.A.; Onuchin, A.A.; Tchebakova, N.M.

/ C. Huttich [et al.] // Forests. - 2014. - Vol. 5, Is. 7. - P1753-1776, DOI 10.3390/f5071753 . - ISSN 1999-4907
Аннотация: Growing stock volume is an important biophysical parameter describing the state and dynamics of the Boreal zone. Validation of growing stock volume (GSV) maps based on satellite remote sensing is challenging due to the lack of consistent ground reference data. The monitoring and assessment of the remote Russian forest resources of Siberia can only be done by integrating remote sensing techniques and interdisciplinary collaboration. In this paper, we assess the information content of GSV estimates in Central Siberian forests obtained at 25 m from ALOS-PALSAR and 1 km from ENVISAT-ASAR backscatter data. The estimates have been cross-compared with respect to forest inventory data showing 34% relative RMSE for the ASAR-based GSV retrievals and 39.4% for the PALSAR-based estimates of GSV. Fragmentation analyses using a MODIS-based land cover dataset revealed an increase of retrieval error with increasing fragmentation of the landscape. Cross-comparisons of multiple SAR-based GSV estimates helped to detect inconsistencies in the forest inventory data and can support an update of outdated forest inventory stands. © 2014 by the authors.licensee MDPI, Basel, Switzerland.

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Держатели документа:
Department for Earth Observation, Friedrich-Schiller-University Jena, Lobdergraben 32, 07743 Jena, Germany
Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk, 660036, Russian Federation
Space Research Institute of the Russian Academy of Sciences, Moscow 117997, Russian Federation
International Institute for Advanced System Analyses, Laxenburg 2361, Austria

Доп.точки доступа:
Huttich, C.; Korets, M.; Bartalev, S.; Zharko, V.; Schepaschenko, D.; Shvidenko, A.; Schmullius, C.

[Text] / S. . Wilhelm [et al.] // Forests. - 2014. - Vol. 5, Is. 8. - P1999-2015, DOI 10.3390/f5081999. - Cited References: 50. - The authors want to thank the employees of the Sukachev Institute of Forest in Krasnoyarsk, Russia, Siberia, who were involved in the validation of the mapping results. In addition, thanks go out to Tim Robin van Doorn for proofreading this article. The maps were produced within the FP 7 EU-Russia ZAPAS (Russian: 3anac, stands for GSV or forest stock) project on the assessment and monitoring of forest resources in central Siberia. ZAPAS was funded by the European Commission, Space, Cross-cutting Activities, International Cooperation, Grant No. SPA.2010.3.2-01 EU-Russia Cooperation in Global Monitoring for Environment and Security (GMES). . - ISSN 1999-4907РУБ Forestry

Аннотация: The forests of the Russian Taiga can be described as an enormous biomass and carbon reservoir. Therefore, they are of utmost importance for the global carbon cycle. Large-area forest inventories in these mostly remote regions are associated with logistical problems and high financial efforts. Remotely-sensed data from satellite platforms may have the capability to provide such huge amounts of information. This study presents an application-oriented approach to derive aboveground growing stock volume (GSV) maps using the annual large-area L-band backscatter mosaics provided by the Japan Aerospace Exploration Agency (JAXA). Furthermore, a multi-temporal map has been created to improve GSV estimation accuracy. Based on information from Russian forest inventory data, the maps were generated using the machine learning algorithm, RandomForest. The results showed the high potential of this method for an operational, large-scale and high-resolution biomass estimation over boreal forests. An RMSE from 55.2 to 63.3 m(3)/ha could be obtained for the annual maps. Using the multi-temporal approach, the error could be slightly reduced to 54.4 m(3)/ha.

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Держатели документа:
[Wilhelm, Sebastian] Earth Observat Serv EOS Jena GmbH, D-07743 Jena, Germany
[Huettich, Christian
Schmullius, Christiane] Univ Jena, Dept Earth Observat, D-07743 Jena, Germany
[Korets, Mikhail] Russian Acad Sci, VN Sukachev Inst Forest, Siberian Branch, Krasnoyarsk 660036, Russia
ИЛ СО РАН

Доп.точки доступа:
Wilhelm, S...; Huttich, C...; Korets, M...; Schmullius, C...; European Commission, Space, Cross-cutting Activities, International Cooperation, EU-Russia Cooperation in Global Monitoring for Environment and Security (GMES) [SPA.2010.3.2-01]

/ R. A. Ziganshin // Russ. J. For. Sci. - 2017. - Is. 6. - С. 464-477, DOI 10.7868/S0024114817060109 . - ISSN 0024-1148
Аннотация: We analyzed variability of taxation indicators of trees and stands in stows and forest planning units. We compared consistency of stands across several stows in montane taiga and several forest planning units. We found lower variability of taxation indicators across units recognized on natural (morphological) basis. This could be applied to raise the accuracy of taxation and workforce productivity of taxators. Since the stand and the forest terms are incomplete and ambiguous in professional literature, we made an attempt to do it. Based on robust material of taxation for every tree at sample plots, including height and trunk diameter, length and the crown cross section we studied the variability across two ontogenetic sequences of forest stands of similar type. The first was in dense pine forests of 30–280 years old, and the second was in the stands of 30–110 years old and medium density. This helped to find the necessary number of measurements for trees at various accuracy levels, depending on the stand age. This could be applied in studies of bioproductivity of forest. Moreover, it allows finding minimal size of a sample plot depending on the age to avoid errors in calculation of trunk storages and phytomass of a crown. All normative indicators were compiled in the tables. Based on available literature and personal data, we provide numerical indicators for prism-count plots for forest taxation, applicable in compiling forest inventories. © 2018, Izdatel'stvo Nauka. All rights reserved.

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Держатели документа:
Forest Institute, Siberian Branch of the Russian Academy of Sciences, Academgorodok 50 bldg. 28, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Ziganshin, R. A.

[Текст] / О. Н. Зубарева, Д. А. Прысов, О. С. Буланова // Сибирский лесной журнал. - 2021. - № 6. - С. 46-58, DOI 10.15372/SJFS20210605 . - ISSN 2311-1410

ГРНТИ

06.61.53

Аннотация: Городская среда со всем комплексом негативных факторов оказывает мощное стрессирующее воздействие на все компоненты биоты. Зеленые растения, являющиеся естественными «зелеными фильтрами воздуха», одни из первых откликаются на изменения условий произрастания. Это отражается в первую очередь на состоянии их кроны, в том числе степени изреженности, облиствленности (охвоенности), повреждении листовых пластинок и т. д. В статье приведены данные инвентаризаций зеленых насаждений Центрального парка, выполненных в 1999 и 2020 гг., проанализирован видовой состав насаждений парка. Выявлено, что на его территории произрастают 33 вида древесных и кустарниковых растений, из них хвойные породы представлены 7 видами, ассортимент лиственных пород включает 26 видов. Определено жизненное состояние насаждений парка по характеристике кроны. Большинство деревьев в парке относится к категории ослабленных и сильно ослабленных. Среди лиственных деревьев наиболее ослаблены клен ясенелистный ( Acer negundo L.), тополь бальзамический ( Populus balsamifera L.), осина ( Populus tremula L.) и вяз мелколистный ( Ulmus parvifolia Jacq.). В 2020 г., по сравнению с 1999 г., состояние насаждений парка улучшилось за счет проведения санитарных мероприятий и посадки молодых деревьев. Установлено, что на листьях деревьев, растущих в парке, за летний период оседает пыли в 8.6 - 9.8 раза больше, чем в фоновом насаждении. В 2020 г. отмечен меньший уровень поступления пыли на листовую поверхность (в 1.6 - 3.4 раза) по сравнению с 1999 г. На пылефильтрующую способность деревьев значительно влияют метеорологические условия территории. По полученным результатам сформулированы предложения по реконструкции насаждений парка
Urban environment contains a broad variety of factors and this is where all living organisms are exposed to heavy stresses. Green plant serve as a natural «air filters» and are among the first to respond to negative changes of growth conditions. Crowns are the tree parts first to respond to negative changes of growth conditions by growing thinner, partially defoliated, and leaves' (needles') becoming heavily damaged. We presented the 1999 and 2020 inventories of the woody species of Central Park. Our analysis of the inventory results for species composition revealed thirty three species of trees and shrubs, seven conifer and twenty six deciduous. Judging by the condition of the crowns, the health of the majority of the park trees was poor to very poor. Among deciduous, ash-leaved maple Acer negundo L., balsam poplar Populus balsamifera L., aspen Populus tremula L. and Chinese elm Ulmus parvifolia Jacq. exhibited the poorest health. Tree health has improved, as compared to 1999, due to appropriate treatments and planting of young individuals. We also studied species compositions of invertebrate woody plant feeders and pathogenic fungi. We found that the amount of dust accumulated on the leaves of the trees in the park for a short rainless period was 8.6 to 9.8 times that of a background stand. In 2020, dust precipitated on leaves was 1.6 - 3.4 times less than in 1999. Dust accumulating capability of trees is much dependent on weather conditions. We used the results obtained to word our suggestions for improving the green spaces of the park

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Держатели документа:
ИЛ СО РАН : 660036, Красноярск, Академгородок, 50, стр. 28

Доп.точки доступа:
Прысов, Дмитрий Александрович; Prysov, Dmitry Alexandrovich; Буланова, Оксана Сергеевна; Zubareva, Ol'ga Nikolayevna