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

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Найдено документов в текущей БД: 12

    Forest harvesting influence on river runoff in the Lower Angara region
[Text] / A. . Onuchin, T. . Burenina ; ed.: J Krope, Krope, J // ADVANCED TOPICS ON WATER RESOURCES, HYDRAULICS AND HYDROLOGY: PROCEEDINGS OF THE 3RD IASME/WSEAS INTERNATIONAL CONFERENCE ON WATER RESOURCES, HYDRAULICS AND HYDROLOGY (WHH '08). Ser. Mathematics and Computers in Science and Engineering : WORLD SCIENTIFIC AND ENGINEERING ACAD AND SOC, 2008. - 3rd IASME/WSEAS International Conference on Water Resources, Hydraulics and Hydrology (FEB 23-25, 2008, Cambridge, ENGLAND). - P131-133. - Cited References: 6 . - 3. - ISBN 978-960-6766-37-4
РУБ Engineering, Civil + Water Resources

Кл.слова (ненормированные):
hydrological regime -- precipitation -- evaporation -- river flow -- river catchments -- clear cuts -- forest logging

Аннотация: Siberian Rivers account for a great part of water discharge into the Arctic Ocean. Along with the regional climate and the presence permafrost, hydrological processes occurring in catchments of the boreal taiga rivers are controlled by forest harvesting levels. Forests of the Lower Angara region have been harvested extensively over the past fifty years. As a result, forest area has been reduced and forest age structure and composition have changed. These changes are reflected in the natural water budget structure and hydrological regimes of areas. The study revealed that hydrological effects of forest logging conducted in Siberia characterized by a highly continental climate and, hence, severe forest growing conditions differ from those observed for the European Russia.

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Держатели документа:
[Onuchin, Alexander
Burenina, Tamara] Russian Acad Sci, VN Sukachev Inst Forest, Siberian Branch, Krasnoyarsk 660036, Russia

Доп.точки доступа:
Onuchin, A...; Burenina, T...; Krope, J \ed.\

    Is the 20th century warming unprecedented in the Siberian north?
/ O. V. Sidorova [et al.] // Quaternary Science Reviews. - 2013. - Vol. 73. - P93-102, DOI 10.1016/j.quascirev.2013.05.015 . - ISSN 0277-3791

Кл.слова (ненормированные):
Ice cores -- Pollen data -- Stable carbon and oxygen isotopes -- Taimyr -- Tree-rings -- Warming -- Ice core -- Pollen data -- Stable carbon -- Taimyr -- Tree rings -- Warming -- Carbon -- Cellulose -- Forestry -- Ice -- Isotopes -- Lakes -- Lasers -- Oxygen -- Trees (mathematics) -- carbon isotope -- coniferous forest -- data set -- dendrochronology -- Holocene -- ice core -- oxygen isotope -- paleoclimate -- paleoecology -- paleoenvironment -- palynology -- permafrost -- reconstruction -- stable isotope -- tree ring -- twentieth century -- warming -- Carbon -- Cellulose -- Forestry -- Ice -- Isotopes -- Lakes -- Lasers -- Oxygen -- Rings -- Trees -- Krasnoyarsk [Russian Federation] -- Lama Lake -- Russian Federation -- Siberia

Аннотация: To answer the question "Has the recent warming no analogues in the Siberian north?" we analyzed larch tree samples (. Larix gmelinii Rupr.) from permafrost zone in the eastern Taimyr (TAY) (72В°N, 102В°E) using tree-ring and stable isotope analyses for the Climatic Optimum Period (COP) 4111-3806 BC and Medieval Warm Period (MWP) 917-1150 AD, in comparison to the recent period (RP) 1791-2008 AD.We developed a description of the climatic and environmental changes in the eastern Taimyr using tree-ring width and stable isotope (?13C, ?18O) data based on statistical verification of the relationships to climatic parameters (temperature and precipitation).Additionally, we compared our new tree-ring and stable isotope data sets with earlier published July temperature and precipitation reconstructions inferred from pollen data of the Lama Lake, Taimyr Peninsula, ?18O ice core data from Akademii Nauk ice cap on Severnaya Zemlya (SZ) and ?18O ice core data from Greenland (GISP2), as well as tree-ring width and stable carbon and oxygen isotope data from northeastern Yakutia (YAK).We found that the COP in TAY was warmer and drier compared to the MWP but rather similar to the RP. Our results indicate that the MWP in TAY started earlier and was wetter than in YAK. July precipitation reconstructions obtained from pollen data of the Lama Lake, oxygen isotope data from SZ and our carbon isotopes in tree cellulose agree well and indicate wetter climate conditions during the MWP.Consistent large-scale patterns were reflected in significant links between oxygen isotope data in tree cellulose from TAY and YAK, and oxygen isotope data from SZ and GISP2 during the MWP and the RP.Finally, we showed that the recent warming is not unprecedented in the Siberian north. Similar climate conditions were recorded by tree-rings, stable isotopes, pollen, and ice core data 6000 years ago. В© 2013 Elsevier Ltd.

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Держатели документа:
Paul Scherrer Institute, 5232 Villigen, Switzerland
V.N. Sukachev Institute of Forest SB RAS, 660036 Krasnoyarsk, Akademgorodok, Russian Federation
Institute of Geology and Minerology, University of Koeln, 50674 Koln, Germany
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Research Unit Potsdam, 14473 Potsdam, Germany

Доп.точки доступа:
Sidorova, O.V.; Saurer, M.; Andreev, A.; Fritzsche, D.; Opel, T.; Naurzbaev, M.M.; Siegwolf, R.

    The transformation of time in the theory of growth. A quantitative study
/ E. V. Presnov // Ontogenez. - 1977. - Vol. 8, Is. 4. - С. 420-423 . - ISSN 0475-1450

Кл.слова (ненормированные):
growth curve -- methodology -- model -- theoretical study -- animal -- article -- growth -- human -- kinetics -- mathematics -- time -- Animal -- Growth -- Human -- Kinetics -- Mathematics -- Time


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Держатели документа:
Inst. Forest Wood, Siberian Branch, USSR Acad. Sci., Krasnoyarsk, Russia

Доп.точки доступа:
Presnov, E.V.

    The temperature changes of water adsorbate structure in the collagen (Russian)
/ V. V. Ivanov, N. V. Ratnikova, U. A. Vasin // Molekulyarnaya Biologiya. - 1974. - Vol. 8, Is. 5. - С. 711-715 . - ISSN 0026-8984

Scopus

Держатели документа:
L.V. Kirensky Inst. Phys., V.N. Sukachev Inst. Forest Wood, Siberian Branch, Acad. Sci. USSR, Krasnoyarsk, Russia

Доп.точки доступа:
Ivanov, V.V.; Ratnikova, N.V.; Vasin, U.A.

    Solar-terrestrial relations in central Asia paleoarchives
/ D. Ovchinnikov [et al.] // International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM. - 2014. - Vol. 1: 14th International Multidisciplinary Scientific Geoconference and EXPO, SGEM 2014 (17 June 2014 through 26 June 2014, ) Conference code: 109699. - P321-324 . -
Аннотация: A solar-terrestrial relations were examined using millennium-scale paleoclimatic data from the Central Asia mountain region. The paleoclimatic data were based on nonvarved lake sediments of the Teletskoye lake and temperature-sensitive long tree-ring width chronologies from the Altai region (Altai Mountains, South Siberia, Russia) in the late Holocene (2000 years). Also a solar-activity during late Holocene was used to analyze. Core of the bottom sediments from the Teletskoe lake (Altai Mountains) were investigated using scanning X-ray fluorescent analysis method with synchrotron radiation (spatial resolution is 0.1 mm). A method ensemble empirical mode decomposition (EEMD) was used to extract low-frequency variability from all presented paleoarchives. The results obtained for paleodata indicate palaeoclimatic oscillations in the range of the de Vries (Suess) (?200-year) solar cycles through the late Holocene. Evidence of the influence of solar activity on global climatic processes and terrestrial ecosystems is discussed.

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Держатели документа:
Institute of Forest SB RASKrasnoyarsk, Russian Federation
Institute of Solar-Terrestrial Physics SB RASIrkutsk, Russian Federation
Institute of Geology SB RASNovosibirsk, Russian Federation
Siberian Federal UniversityKrasnoyarsk, Russian Federation

Доп.точки доступа:
Ovchinnikov, D.; Mordvinov, A.; Kalugin, I.; Darin, A.; Myglan, V.

    Towards harmonizing competing models: Russian forests' net primary production case study
/ A. Kryazhimskiy [et al.] // Technol. Forecast. Soc. Change. - 2015. - Vol. 98. - P245-254, DOI 10.1016/j.techfore.2015.06.003 . - ISSN 0040-1625
Аннотация: This paper deals with the issue of reconciling gaps between stochastic estimates (probability distributions) provided by alternative statistically inaccurate observation/estimation techniques. We employ a posterior reconciliation (integration) method based on selection of mutually compatible test outcomes. Unlike other methods used in this context, the posterior integration method employed does not include assessment of the credibility of the original (prior) estimation sources, which is usually based on analysis of their past performance. The quality of the resulting posterior integrated distribution is evaluated in terms of change in the variance. The method is illustrated by integration of stochastic estimates of the annual net primary production (NPP) of forest ecosystems in seven bioclimatic zones of Russia. The estimates result from the use of two alternative NPP estimation techniques - the landscape-ecosystem approach based on empirical knowledge, and an ensemble of dynamic global vegetation models. The estimates differ by up to 23%. Elimination of these gaps could help better quantify the terrestrial ecosystems' input to the global carbon cycle. The paper suggests a set of candidates for credible integrated NPP estimates for Russia, which harmonize those provided by two alternative sources. © 2015 Elsevier Inc.

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Держатели документа:
International Institute for Applied Systems Analysis, Schlossplatz 1, Laxenburg, Austria
Lomonosov Moscow State University, Faculty of Computational Mathematics and Cybernetics, 2nd Educational Building, Leninskie Gory, Moscow, Russian Federation
Steklov Mathematical Institute, 8 Gubkina str., Moscow, Russian Federation
Sukachev Institute of Forest, Siberian Branch RAS, Akademgorodok, Krasnoyarsk, Russian Federation
Department of International Information, Lviv Polytechnic National University, 12 Bandera str., Lviv, Ukraine
Moscow State Forest University, 1 Institutskayastr., Mytischi, Moscow region, Russian Federation

Доп.точки доступа:
Kryazhimskiy, A.; Rovenskaya, E.; Shvidenko, A.; Gusti, M.; Shchepashchenko, D.; Veshchinskaya, V.

    Improved estimates of biomass expansion factors for Russian forests
/ D. Schepaschenko [et al.] // Forests. - 2018. - Vol. 9, Is. 6, DOI 10.3390/f9060312 . - ISSN 1999-4907
Аннотация: Biomass structure is an important feature of terrestrial vegetation. The parameters of forest biomass structure are important for forest monitoring, biomass modelling and the optimal utilization and management of forests. In this paper, we used the most comprehensive database of sample plots available to build a set of multi-dimensional regression models that describe the proportion of different live biomass fractions (i.e., the stem, branches, foliage, roots) of forest stands as a function of average stand age, density (relative stocking) and site quality for forests of the major tree species of northern Eurasia. Bootstrapping was used to determine the accuracy of the estimates and also provides the associated uncertainties in these estimates. The species-specific mean percentage errors were then calculated between the sample plot data and the model estimates, resulting in overall relative errors in the regression model of -0.6%, -1.0% and 11.6% for biomass conversion and expansion factor (BCEF), biomass expansion factor (BEF), and root-to-shoot ratio respectively. The equations were then applied to data obtained from the Russian State Forest Register (SFR) and a map of forest cover to produce spatially distributed estimators of biomass conversion and expansion factors and root-to-shoot ratios for Russian forests. The equations and the resulting maps can be used to convert growing stock volume to the components of both above-ground and below-ground live biomass. The new live biomass conversion factors can be used in different applications, in particular to substitute those that are currently used by Russia in national reporting to the UNFCCC (United Nations Framework Convention on Climate Change) and the FAO FRA (Food and Agriculture Organization's Forest Resource Assessment), among others. © 2018 by the authors.

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Держатели документа:
International Institute for Applied Systems Analysis, Laxenburg, Austria
Forestry Faculty, Bauman Moscow State Technical University, Mytischi, Russian Federation
School of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand
Institute of Forest Siberian Branch Russian Academy of Sciences, Akademgorodok, Krasnoyarsk, Russian Federation
Education and Research Institute of Forestry and Park Gardening, National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine
Institute of Numerical Mathematics of Russian Academy of Sciences, Ul. Gubkina 8, Moscow, Russian Federation
The Earth Science Museum, M.V. Lomonosov Moscow State University, 1 Leninskiye Gory, GSP-1, Moscow, Russian Federation

Доп.точки доступа:
Schepaschenko, D.; Moltchanova, E.; Shvidenko, A.; Blyshchyk, V.; Dmitriev, E.; Martynenko, O.; See, L.; Kraxner, F.

    Ranking of tree-ring based hydroclimate reconstructions of the past millennium
/ F. C. Ljungqvist, A. Piermattei, A. Seim [et al.] // Quat. Sci. Rev. - 2020. - Vol. 230. - Ст. 106074, DOI 10.1016/j.quascirev.2019.106074 . - ISSN 0277-3791
Аннотация: To place recent hydroclimate changes, including drought occurrences, in a long-term historical context, tree-ring records serve as an important natural archive. Here, we evaluate 46 millennium-long tree-ring based hydroclimate reconstructions for their Data Homogeneity, Sample Replication, Growth Coherence, Chronology Development, and Climate Signal based on criteria published by Esper et al. (2016) to assess tree-ring based temperature reconstructions. The compilation of 46 individually calibrated site reconstructions includes 37 different tree species and stem from North America (n = 29), Asia (n = 10); Europe (n = 5), northern Africa (n = 1) and southern South America (n = 1). For each criterion, the individual reconstructions were ranked in four groups, and results showed that no reconstruction scores highest or lowest for all analyzed parameters. We find no geographical differences in the overall ranking, but reconstructions from arid and semi-arid environments tend to score highest. A strong and stable hydroclimate signal is found to be of greater importance than a long calibration period. The most challenging trade-off identified is between high continuous sample replications, as well as a well-mixed age class distribution over time, and a good internal growth coherence. Unlike temperature reconstructions, a high proportion of the hydroclimate reconstructions are produced using individual series detrending methods removing centennial-scale variability. By providing a quantitative and objective evaluation of all available tree-ring based hydroclimate reconstructions we hope to boost future improvements in the development of such records and provide practical guidance to secondary users of these reconstructions. © 2019 The Authors

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Держатели документа:
Department of History, Stockholm University, Stockholm, Sweden
Bolin Centre for Climate Research, Stockholm University, Stockholm, Sweden
Swedish Collegium for Advanced Study, Uppsala, Sweden
Department of Geography, University of Cambridge, Cambridge, United Kingdom
Chair of Forest Growth, Institute of Forest Sciences, Albert Ludwig University of Freiburg, Freiburg, Germany
Department of Physical Geography, Stockholm University, Stockholm, Sweden
Dendro Sciences Group, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland
CzechGlobe Global Change Research Institute CAS, Brno, Czech Republic
Department of Geography, Faculty of Science, Masaryk University, Brno, Czech Republic
Center for Ecological Forecasting and Global Change, College of Forestry, Northwest Agriculture and Forestry University, Yangling, China
Sukachev Institute of Forest SB RAS, Krasnoyarsk, Akademgorodok, Russian Federation
Institute of Ecology and Geography, Siberian Federal University, Krasnoyarsk, Russian Federation
Department of Geography, Climatology, Climate Dynamics and Climate Change, Justus Liebig University, Giessen, Germany
Centre for International Development and Environmental Research, Justus Liebig University, Giessen, Germany
Regional Climate Group, Department of Earth Sciences, University of Gothenburg, Gothenburg, Sweden
Georges Lemaitre Centre for Earth and Climate Research, Universite Catholique de Louvain, Louvain-la-Neuve, Belgium
Department of Geosciences, University of Arkansas, Fayetteville, United States
Instituto Argentino de Nivologia, Glaciologia y Ciencias Ambientales IANIGLA, CCT-CONICET-Mendoza, Mendoza, Argentina
Key Laboratory of Desert and Desertification, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China
Department of Geography, Johannes Gutenberg University, Mainz, Germany

Доп.точки доступа:
Ljungqvist, F. C.; Piermattei, A.; Seim, A.; Krusic, P. J.; Buntgen, U.; He, M.; Kirdyanov, A. V.; Luterbacher, J.; Schneider, L.; Seftigen, K.; Stahle, D. W.; Villalba, R.; Yang, B.; Esper, J.

    Stem growth and stem sap flow measurements of three conifer tree species in Siberia
/ A. Rubtsov, A. Arzac, A. Knorre [et al.] // IOP Conference Series: Earth and Environmental Science : IOP Publishing Ltd, 2020. - Vol. 611: 11th International Conference and Early Career Scientists School on Environmental Observations, Modeling and Information Systems, ENVIROMIS 2020 (7 September 2020 through 11 September 2020, ) Conference code: 166001, Is. 1. - Ст. 012028, DOI 10.1088/1755-1315/611/1/012028 . -
Аннотация: This work is targeted to evaluate the reaction of individual trees against periodic and punctual environmental stressing events with a network of long-term monitoring of tree water/growth-related processes in various geographic and climatic areas. Instrumental measurements of stem circumferential/radial size changes (dRc/dR) using band/point dendrometers and stem sap flow rates (Q) using a trunk segment heat balance method in Scots pine, Siberian larch, and Dahurian larch trees have been carried out at three research sites in Krasnoyarsk Krai, Russia. Analysis of perennial dRc/dR and seasonal Q data obtained in 2015-2019 allows us to characterize the seasonality and features of the tree stem growth and stem water transport rates specific for each of the studied conifer species and on different temporal scales (diurnal, inter/intra-seasonal, and annual). The archived in-situ data are used to verify the efficiency of some process-based BS-and stochastic VS-tree growth and phenology models for Siberian larch and Scots pine trees. The results have confirmed the realistic nature of the simulation and have shown certain drawbacks of these models. © Published under licence by IOP Publishing Ltd.

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Держатели документа:
Siberian Federal University, Akademgorodok str., 50a k2, Krasnoyarsk, Russian Federation
National Park krasnoyarsk Stolby, Karyernaya srt., 26-a, Krasnoyarsk, Russian Federation
Sukachev Institute of Forest SB RAS, Akademgorodok str., 50/28, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Rubtsov, A.; Arzac, A.; Knorre, A.; Shashkin, A.; Benkova, V.; Vaganov, E.

    Non-English languages enrich scientific knowledge: The example of economic costs of biological invasions
/ E. Angulo, C. Diagne, L. Ballesteros-Mejia [et al.] // Sci. Total Environ. - 2021. - Vol. 775. - Ст. 144441, DOI 10.1016/j.scitotenv.2020.144441. - Cited By :2 . - ISSN 0048-9697

Кл.слова (ненормированные):
Ecological bias -- InvaCost -- Knowledge gaps -- Management -- Native languages -- Stakeholders -- Cost benefit analysis -- Cost estimating -- Data transfer -- Biological invasion -- Ecological bias -- Economic costs -- Invacost -- Knowledge gaps -- Native language -- Non-English languages -- Scientific data -- Scientific knowledge -- Stakeholder -- Database systems -- academic performance -- communication -- cost analysis -- data acquisition -- data management -- data set -- database -- global perspective -- invasive species -- knowledge based system -- language -- performance assessment -- policy making -- stakeholder -- appendix -- article -- data completeness -- ecological fallacy -- Europe -- human -- human experiment -- introduced species -- invasive species -- language -- nonhuman -- physician -- species invasion

Аннотация: We contend that the exclusive focus on the English language in scientific research might hinder effective communication between scientists and practitioners or policy makers whose mother tongue is non-English. This barrier in scientific knowledge and data transfer likely leads to significant knowledge gaps and may create biases when providing global patterns in many fields of science. To demonstrate this, we compiled data on the global economic costs of invasive alien species reported in 15 non-English languages. We compared it with equivalent data from English documents (i.e., the InvaCost database, the most up-to-date repository of invasion costs globally). The comparison of both databases (~7500 entries in total) revealed that non-English sources: (i) capture a greater amount of data than English sources alone (2500 vs. 2396 cost entries respectively); (ii) add 249 invasive species and 15 countries to those reported by English literature, and (iii) increase the global cost estimate of invasions by 16.6% (i.e., US$ 214 billion added to 1.288 trillion estimated from the English database). Additionally, 2712 cost entries — not directly comparable to the English database — were directly obtained from practitioners, revealing the value of communication between scientists and practitioners. Moreover, we demonstrated how gaps caused by overlooking non-English data resulted in significant biases in the distribution of costs across space, taxonomic groups, types of cost, and impacted sectors. Specifically, costs from Europe, at the local scale, and particularly pertaining to management, were largely under-represented in the English database. Thus, combining scientific data from English and non-English sources proves fundamental and enhances data completeness. Considering non-English sources helps alleviate biases in understanding invasion costs at a global scale. Finally, it also holds strong potential for improving management performance, coordination among experts (scientists and practitioners), and collaborative actions across countries. Note: non-English versions of the abstract and figures are provided in Appendix S5 in 12 languages. © 2021 The Authors

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Держатели документа:
Universite Paris-Saclay, CNRS, AgroParisTech, Ecologie Systematique Evolution, Orsay, 91405, France
Institut de Recherche pour le Developpement, Centre de Biologie pour la Gestion des Populations, UMR IRD-INRAE-CIRAD-Institut Agro, Montferrier-sur-Lez, 34988, France
Centre for Applied Mathematics and Bioinformatics, Department of Mathematics and Natural Sciences, Gulf University for Science and Technology, Hawally, 32093, Kuwait
Russian Plant Quarantine Center, Krasnoyarsk Branch, Krasnoyarsk, 660075, Russian Federation
School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong 510275, China
Centro de Estudos Geograficos, Instituto de Geografia e Ordenamento do Territorio – IGOT, Universidade de Lisboa, Rua Branca Edmee Marques, Lisboa, 1600-276, Portugal
Department of Animal Biology, Sciences and Technics Faculty, Cheikh Anta DIOP University, B.P. Dakar, 5005, Senegal
Grupo de Ecologia de Invasiones, INIBIOMA, CONICET/Universidad Nacional del Comahue, Av. de los Pioneros 2350, Bariloche, 8400, Argentina
Department of Community Ecology, Helmholtz-Centre for Environmental Research – UFZ, Halle (Saale), 06120, Germany
Senckenberg Research Institute and Natural History Museum Frankfurt, Department of River Ecology and Conservation, Gelnhausen, 63571, Germany
University of South Bohemia in Ceske Budejovice, Faculty of Fisheries and Protection of Waters, South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses, Vodnany, 389 25, Czech Republic
Programa de Pos-Graduacao em Ecologia Aplicada, Departamento de Ecologia e Conservacao, Instituto de Ciencias Naturais, Universidade Federal de Lavras – UFLA, Lavras, Minas Gerais 37200-900, Brazil
Sukachev Institute of Forest, Siberian Branch of Russian Academy of Sciences, Federal Research Center «Krasnoyarsk Science Center SB RAS», Krasnoyarsk, 660036, Russian Federation
Siberian Federal University, Krasnoyarsk, 660041, Russian Federation
Woods Hole Oceanographic Institution, Marine Policy Center, Woods Hole, MA 02543, United States
University of Southern Denmark, Department of Sociology, Environmental and Business Economics, Esbjerg O, 6705, Denmark
Institute of Marine Biological Resources and Inland Waters, Hellenic Center for Marine Research, Athens, 16452, Greece
Institute of Biology, Freie Universitat Berlin, Berlin, 14195, Germany
Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Berlin, 12587, Germany
Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, 14195, Germany
Universite de Rennes, CNRS, EcoBio (Ecosystemes, biodiversite, evolution) - UMR 6553, Rennes, 35000, France
Institut Universitaire de France, Paris Cedex 05, 75231, France
MIVEGEC, IRD, CNRS, Universite Montpellier, Montpellier, 34394, France
Departement de Biologie, Faculte des Sciences, Universite Chouaib Doukkali, El Jadida, 24000, Morocco
University of Helsinki, Faculty of Agriculture and Forestry, Department of Forest Sciences, Helsinki, 00014, Finland
Aalto University, Department of Built Environment, Water & Development Research Group, Aalto, FI-00076, Finland
Forestry and Forest Products Research Institute, Tsukuba, Ibaraki 305-8687, Japan
College of Fisheries, Guangdong Ocean University, Zhanjiang, 524088, China

Доп.точки доступа:
Angulo, E.; Diagne, C.; Ballesteros-Mejia, L.; Adamjy, T.; Ahmed, D. A.; Akulov, E.; Banerjee, A. K.; Capinha, C.; Dia, C. A.K.M.; Dobigny, G.; Duboscq-Carra, V. G.; Golivets, M.; Haubrock, P. J.; Heringer, G.; Kirichenko, N.; Kourantidou, M.; Liu, C.; Nunez, M. A.; Renault, D.; Roiz, D.; Taheri, A.; Verbrugge, L. N.H.; Watari, Y.; Xiong, W.; Courchamp, F.

    Russian forest sequesters substantially more carbon than previously reported
/ D. Schepaschenko, E. Moltchanova, S. Fedorov [et al.] // Sci. Rep. - 2021. - Vol. 11, Is. 1. - Ст. 12825, DOI 10.1038/s41598-021-92152-9 . - ISSN 2045-2322

Аннотация: Since the collapse of the Soviet Union and transition to a new forest inventory system, Russia has reported almost no change in growing stock (+ 1.8%) and biomass (+ 0.6%). Yet remote sensing products indicate increased vegetation productivity, tree cover and above-ground biomass. Here, we challenge these statistics with a combination of recent National Forest Inventory and remote sensing data to provide an alternative estimate of the growing stock of Russian forests and to assess the relative changes in post-Soviet Russia. Our estimate for the year 2014 is 111 ± 1.3 ? 109 m3, or 39% higher than the value in the State Forest Register. Using the last Soviet Union report as a reference, Russian forests have accumulated 1163 ? 106 m3 yr-1 of growing stock between 1988–2014, which balances the net forest stock losses in tropical countries. Our estimate of the growing stock of managed forests is 94.2 ? 109 m3, which corresponds to sequestration of 354 Tg C yr-1 in live biomass over 1988–2014, or 47% higher than reported in the National Greenhouse Gases Inventory. © 2021, The Author(s).

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Держатели документа:
Center for Forest Ecology and Productivity of the Russian Academy of Sciences, Profsoyuznaya 84/32/14, Moscow, 117997, Russian Federation
International Institute for Applied Systems Analysis, Laxenburg, 2361, Austria
Siberian Federal University, Svobodny pr, Krasnoyarsk, 660041, Russian Federation
School of Mathematics and Statistics, University of Canterbury, Christchurch, 8041, New Zealand
FSBI Roslesinforg, Federal Forestry Agency, Volgogradsky pr. 45, Moscow, 109316, Russian Federation
Federal Forestry Agency, Pyatnitskaya, 59/19, Moscow, 115184, Russian Federation
Russian Institute of Continuous Education in Forestry, Institutskaya 17, Pushkino, 141200, Russian Federation
Gamma Remote Sensing, Gumligen, 3073, Switzerland
V.N. Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Science, Academgorodok 50(28), Krasnoyarsk, 660036, Russian Federation
Yu. A. Izrael Institute of Global Climate and Ecology, Glebovskaya 20B, Moscow, 107258, Russian Federation
Space Research Institute of the Russian Academy of Sciences, Profsoyuznaya 84/32, Moscow, 117997, Russian Federation

Доп.точки доступа:
Schepaschenko, D.; Moltchanova, E.; Fedorov, S.; Karminov, V.; Ontikov, P.; Santoro, M.; See, L.; Kositsyn, V.; Shvidenko, A.; Romanovskaya, A.; Korotkov, V.; Lesiv, M.; Bartalev, S.; Fritz, S.; Shchepashchenko, M.; Kraxner, F.

    Mathematical Method of Allocating Quotas of the Harmful Emission between Its Sources in a Megacity
/ L. S. Maergoiz // J. Appl. Ind. Math. - 2021. - Vol. 15, Is. 2. - P302-306, DOI 10.1134/S1990478921020113 . - ISSN 1990-4789
Аннотация: Abstract: In connection with the topical problem of creating comfortable atmosphere in urbanenvironment, we present a mathematical algorithm for allocating quotas of harmful emissionsbetween its sources in a megacity. Our construction is based on some recently developed methodof optimal distribution of limited resources between differentiated groups of people. © 2021, Pleiades Publishing, Ltd.

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Держатели документа:
Federal Research Center “Krasnoyarsk Scientific Center of the Siberian Branch of theRussian Academy of Sciences,” Sukachev Institute of Forest, Krasnoyarsk, 660036, Russian Federation

Доп.точки доступа:
Maergoiz, L. S.