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

/ M. Meroni, N. Tchebakova // Forest Ecology and Management. - 2002. - Vol. 169, № 1-2. - С. 115-122
Аннотация: Direct measurements of CO2 and water vapour of regenerating forests after fire events (secondary succession stages) are needed to determine the role of such disturbances in the biome carbon and water cycles functioning. An estimation of the extension of burnt areas is also required in order to quantify NBP (net biome productivity), a variable that includes large-scale carbon losses (such as fire) bypassing heterotrophic respiration. Hence, eddy covariance measurements Of CO2 and water vapour were carried out in a natural regenerating forest after a fire event. Measurements were collected continuously over a Betula spp. stand in central Siberia during summer 1999. Minimum carbon exchange rate (NEE, net ecosystem exchange) exceeded -30 mumol m(-2) s(-1) (net flux negative indicating CO2 uptake by vegetation) and the partitioning of the available energy was mostly dominated by latent heat flux. Structure, age and composition of the forest were analysed to understand the secondary succession stages. The results were compared with previous studies on coniferous forests where biospheric exchanges of energy were dominated by sensible heat fluxes and small carbon uptake rates, thus indicating rather limiting growing conditions. A classification of a Landsat-4 Thematic Mapper scene has been carried out to determine the magnitude of burnt areas and the extension of broadleaf regenerating forests. Analysis of burnt areas spatial frequency and carbon exchanges of the regenerating forest stress the importance of considering large area disturbances for full carbon accounting. (C) 2002 Elsevier Science B.V. All rights reserved.

WOS,
Scopus

Держатели документа:
Russian Acad Sci, Siberian Div, Sukachev Isnt Forestry, Krasnoyarsk 660036, Russia

Доп.точки доступа:
Meroni, M. ; Мерони М.; Tchebakova, Nadezhda Mikhailovna; Чебакова, Надежда Михайловна

/ O. Shibistova, G. Zrazhevskaya et al // Tellus. Series B: Chemical and physical meteorology. - 2002. - Vol. 54B, № 5. - С. 568-589
Аннотация: Using a ground-based and an above-canopy eddy covariance system in addition to stem respiration measurements, the annual respiratory fluxes attributable to soil, stems and foliage were determined for a Scots pine (Pinus sylvestris L.) forest growing in central Siberia. Night-time foliar respiration was estimated on the basis of the difference between fluxes measured below and above the canopy and the stem respiration measurements. Comparison of the effects of night-time turbulence on measured CO2 fluxes showed flux loss above the canopy at low wind speeds, but no such effect was observed for the ground-based eddy system. This suggests that problems with flow homogeneity or flux divergence (both of which would be expected to be greater above the canopy than below) were responsible for above-canopy losses under these conditions. After correcting for this, a strong seasonality in foliar respiration was observed. This was not solely attributable to temperature variations, with intrinsic foliar respiratory capacities being much greater in spring and autumn. The opposite pattern was observed for stem respiration, with the intrinsic respiratory capacity being lower from autumn through early spring. Maximum respiratory activity was observed in early summer. This was not simply associated with a response to higher temperatures but seemed closely linked with cambial activity and the development of new xylem elements. Soil respiration rates exhibited an apparent high sensitivity to temperature, with seasonal data implying a Q(10) of about 7. We interpret this as reflecting covarying changes in soil microbial activity and soil temperatures throughout the snow-free season. Averaged over the two study years (1999 and 2000), the annual respiratory flux was estimated at 38.3 mol C m(-2) a(-1). Of this 0.61 was attributable to soil respiration, with stem respiration accounting for 0.21 and foliar respiration 0.18.

WOS,
Scopus

Держатели документа:
Russian Acad Sci, VN Sukacehv Forest Inst, Siberian Branch, Krasnoyarsk 660036, Russia

Доп.точки доступа:
Shibistova, Olga Borisovna; Шибистова, Ольга Борисовна; Zrazhevskaya, Galina Kirillovna; Зражевская, Галина Кирилловна

: материалы временных коллективов / C. C. Schmullius, C. Thiel, M. A. Korets // Boreal forests in a changing world: challenges and needs for action: Proceedings of the International conference Augus,t 15-21 2011, Krasnoyarsk, Russia: V.N. Sukachev Institute of Forest SB RAS, 2011. - Krasnoyarsk : V.N. Sukachev Institute of forest SB RAS, 2011. - С. 395-400. - Библиогр. в конце ст.
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. Earth observation data include ENVISAT MERIS and ASAR in different acquisition modes, METEOR-M and RESURS-DKI. The methodologies include state-of-the-art optical and radar retrieval algorithms as well as investigation of innovative synergistic approaches. Products include biomass change maps for the years 2007-2008-2009 on a local scale, a biomass and improved land cover map on the regional scale, and a 1 km land cover map as input to carbon accounting model.

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

Доп.точки доступа:
Schmullius, C.C.; Шмуллиус С.С.; Thiel, C.; Тил С.; Korets, Mikhail Anatol'yevich; Корец, Михаил Анатольевич

[Text] / A. V. Kirdyanov [et al.] // Chem. Geol. - 2008. - Vol. 252, Is. 01.02.2013. - P31-41, DOI 10.1016/j.chemgeo.2008.01.023. - Cited References: 74 . - 11. - ISSN 0009-2541РУБ Geochemistry & Geophysics

Аннотация: We present the first and longest (413 years) dataset on stable carbon isotope ratios in tree-ring cellulose (delta C-13), tree-ring width (TRW), and maximum latewood density (MXD) obtained from larch trees growing on permafrost under continental climate in the Suntar Khayata mountain ridge in Eastern Siberia (Russia). With this first study we calibrate tree-ring parameters against climate quantities, and based on these results assess the potential added value of MXD and especially of delta C-13 complementing TRW analysis for future climate reconstruction purposes. delta C-13 chronologies were corrected for human induced changes in atmospheric CO2 since AD 1800. Two different approaches were compared i) a correction referring merely to the decline in atmospheric delta C-13 (delta C-13(atm)) and ii) a correction additionally accounting for the increase in atmospheric partial pressure of CO2. delta C-13 chronologies are characterized by strong signal strength with only 4 trees representing the population signal at the site (mean inter-series correlation = 0.71 and EPS = 0.90). delta C-13 variation shows low similarity to TRW and MXD, while correlation between TRW and MXD is highly significant. Correlation analysis of tree-ring parameters with gridded instrumental data (Climate Research Unit, CRU TS 2.1) over the AD 1929-2000 calibration period demonstrates that TRW and MXD react as reported from other sites at cold and humid northern latitudes: precipitation plays no significant role, but strong dependencies on monthly mean, maximum and minimum temperatures, particularly of the current summer (June to August), are found (up to r=0.60, p<0.001). Combining instrumental data to a summer season mean (JJA) and TRW and MXD to a growth parameter mean (TRW+MXD), clearly shows the importance of the number of frost days and minimum temperatures during summer (r=0.67, p <0.001) to dominate tree growth and highlights the potential for climate reconstruction. Carbon isotope fixation in tree rings is obviously less controlled by temperature variables. In particular, the frost days and minimum temperature have a much smaller influence on delta C-13 than on tree growth. delta C-13 strongly reacts to current-year July precipitation (r=-0.44, p<0.05) and June-July maximum temperature (r=0.46, p<0.001). All significant (p<0.05) correlation coefficients are higher when using the corrected delta C-13 chronology considering an additional plant physiological response on increasing atmospheric CO2 concentration, than using the chronology corrected for delta C-13(atm) changes alone. Spatial distribution of correlations between tree-ring data and climate variables for Eastern Siberia indicates that the summer temperature regime in the studied region is mostly influenced by Arctic air masses, but precipitation in July seems to be brought out from the Pacific region. Both the combined TRW+MXD record and the (513 C record revealed a high reconstruction potential for summer temperature and precipitation, respectively, particularly on decadal and longer-term scales. (C) 2008 Elsevier B.V. All rights reserved.

Полный текст,
WOS

Держатели документа:
[Kirdyanov, Alexander V.] VN Sukachev Inst Forest SB RAS, Krasnoyarsk 660036, Russia
[Treydte, Kerstin S.] Swiss Fed Res Inst WSL, CH-8903 Birmensdorf, Switzerland
[Nikolaev, Anatolli] Melnikov Inst Permafrost SB RAS Yakutsk, Yakutsk, Russia
[Helle, Gerhard
Schleser, Gerhard H.] ICG V, Inst Chem & Dynam Geosphere, Res Ctr Juelich GmbH, Julich, Germany

Доп.точки доступа:
Kirdyanov, A.V.; Treydte, K.S.; Nikolaev, A...; Helle, G...; Schleser, G.H.

[Text] / A. J. Soja [et al.] // J. Geophys. Res.-Atmos. - 2004. - Vol. 109, Is. D14. - Ст. D14S06, DOI 10.1029/2004JD004570. - Cited References: 126 . - 25. - ISSN 2169-897XРУБ Meteorology & Atmospheric Sciences

Аннотация: [ 1] In the biomass, soils, and peatlands of Siberia, boreal Russia holds one of the largest pools of terrestrial carbon. Because Siberia is located where some of the largest temperature increases are expected to occur under current climate change scenarios, stored carbon has the potential to be released with associated changes in fire regimes. Our concentration is on estimating a wide range of current and potential emissions from Siberia on the basis of three modeled scenarios. An area burned product of Siberia is introduced, which spans from 1998 through 2002. Emissions models are spatially explicit; therefore area burned is extracted from associated ecoregions for each year. Carbon consumption estimates are presented for 23 unique ecoregions across Siberia, which range from 3.4 to 75.4 t C ha(-1) for three classes of severity. Total direct carbon emissions range from the traditional scenario estimate of 116 Tg C in 1999 (6.9 M ha burned) to the extreme scenario estimate of 520 Tg C in 2002 (11.2 M ha burned), which are equivalent to 5 and 20%, respectively, of total global carbon emissions from forest and grassland burning. Our results suggest that disparities in the amount of carbon stored in unique ecosystems and the severity of fire events can affect total direct carbon emissions by as much as 50%. Additionally, in extreme fire years, total direct carbon emissions can be 37 - 41% greater than in normal fire years, owing to increased soil organic matter consumption. Mean standard scenario estimates of CO2 ( 555 - 1031 Tg), CO ( 43 - 80 Tg), CH4 (2.4 - 4.5 Tg), TNMHC (2.2 - 4.1 Tg), and carbonaceous aerosols (4.6 - 8.6 Tg) represent 10, 15, 19, 12 and 26%, respectively, of the global estimates from forest and grassland burning. Accounting for smoldering combustion in soils and peatlands results in increases in CO, CH4, and TNMHC and decreases in CO2 emitted from fire events.

WOS

Держатели документа:
Terra Syst Res Inc, Williamsburg, VA 23185 USA
US Forest Serv, USDA, Arlington, VA 22209 USA
Nat Resources Canada, Great Lakes Forestry Ctr, Sault Ste Marie, ON P6A 2E5, Canada
Univ Virginia, Dept Environm Sci, Charlottesville, VA 22903 USA
Russian Acad Sci, Sukachev Forest Inst, Krasnoyarsk 660036, Russia
NASA, Langley Res Ctr, Hampton, VA 23681 USA

Доп.точки доступа:
Soja, A.J.; Cofer, W.R.; Shugart, H.H.; Sukhinin, A.I.; Stackhouse, P.W.; McRae, D.J.; Conard, S.G.

[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.

WOS,
Scopus,
Полный текст

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.

[Text] / F. I. Pleshikov [et al.] // Saf. Sci. - 1998. - Vol. 30, Is. 01.02.2013. - P3-8, DOI 10.1016/S0925-7535(98)00028-9. - Cited References: 13 . - 6. - ISSN 0925-7535РУБ Engineering, Industrial + Operations Research & Management Science

Аннотация: A computer system for evaluating current forest state and predicting stand resistance to strong wind was tested in a case study of pine stands in the southern part of Central Siberia disturbed by a hurricane in 1994. The use of a local geographical information system (GIS) enabled determination of a combination of natural and human factors that increase the risk of windthrow. The factors were analyzed at three levels: landscape, stand, and single toe. Specific site conditions and human-caused disturbances of the natural vegetation community structure were found to be the major factors accounting for decreasing stand resistance to wind. (C) 1998 Elsevier Science Ltd. All rights reserved.

Полный текст,
WOS,
Scopus

Держатели документа:
Russian Acad Sci, Inst Forest, Siberian Branch, Krasnoyarsk 660036, Russia

Доп.точки доступа:
Pleshikov, F.I.; Ryzkova, V.A.; Kaplunov, V.Y.; Usoltseva, J.V.

[Text] / O. S. Pokrovsky [et al.] // Chem. Geol. - 2013. - Vol. 355. - P103-116, DOI 10.1016/j.chemgeo.2013.07.016. - Cited References: 65. - We are grateful to Associate Editor Carla Koretsky for her significant efforts in improving this manuscript and two anonymous reviewers for their helpful and constructive comments. This work was supported by the BIO-GEO-CLIM Mega-grant of the Ministry of Education and Science of the Russian Federation and Tomsk State University (No 14.B25.31.0001), ANR "Arctic Metals", GDRI CAR WET SIB and LIA LEAGE International Laboratories, Grants RFFI 10-05-92513, and 11-04-10056, the CRDF RUG1-2980-KR-10 and Programs of Presidium RAS (No 12-P-5-1021) and UrORAS (No 12-U-5-1034). . - 14. - ISSN 0009-2541РУБ Geochemistry & Geophysics

Аннотация: This work is devoted to the characterization of natural mechanisms of silicon isotope fractionation within Siberian watersheds and predicting the climate warming effect on Si fluxes from the land to the Arctic Ocean. To unravel the different sources of silica generated by basalt weathering in Central Siberia under permafrost and larch deciduous forest conditions, we measured the Si isotopic composition of large and small rivers, surface flow, interstitial soil solutions, plant litter and soils. The average annual discharge-weighted delta Si-30 values of the second largest tributary of the Yenissei River, Nyzhnaya Tunguska and its main northern tributary (Kochechum) are equal to 1.08 +/- 0.10% and 1.67 +/- 0.15%, respectively, while their average annual Si concentrations are very similar (3.46 and 3.50 mg/L, respectively). During summer baseflow, the dissolved Si isotope composition of both large rivers and a small stream ranges between 1.5 and 2.5%. This is much heavier compared to the source basaltic rocks but similar to the fresh litter of Larix gmelinii, the dominating tree species in this region. It could be consistent with litter degradation in the uppermost soil horizons being the dominant source of solutes annually exported by Central Siberian rivers. During spring flood, accounting for 60-80% of annual Si flux, the delta Si-30 of the large rivers' dissolved load decreases by 1-1.5%, thus approaching the value of the bedrock and the silicate suspended matter of the rivers (RSM). This may reflect the dissolution of the silicate suspended load at high water/mineral ratio. The winter delta Si-30 values of the large river dissolved load range between 1.0 and 2.5%. During this period, contributing to <= 10% of the annual Si chemical flux, the interaction between bedrock (porous tuffs) and deep ground waters occurs at a very high solid/solution ratio, leading to the precipitation of isotopically light secondary minerals and enrichment of Si-30 in the fluids that feed the river through the unfrozen flowpaths. Results of this study imply that more than a half of the silica transported by Siberian rivers may transit through the biogenic pool and that, like in other stable basaltic regions, bedrock-water interactions account for a lesser fraction of the silica flux. As a result of projected future climate warming and weathering increases in boreal regions, the delta Si-30 isotopic composition of large Siberian rivers is likely to shift towards less positive values. (c) 2013 Elsevier B.V. All rights reserved.

WOS,
Полный текст,
Scopus

Держатели документа:
[Pokrovsky, O. S.
Schott, J.
Viers, J.] Univ Toulouse, GET CNRS UMR 5563, F-31400 Toulouse, France
[Pokrovsky, O. S.] UroRAS, Inst Ecol Problems North, Arkhangelsk, Russia
[Reynolds, B. C.] Swiss Fed Inst Technol, Inst Geochem & Petr, Zurich, Switzerland
[Prokushkin, A. S.] RAS, Inst Forest, Siberian Branch, Krasnoyarsk, Russia

Доп.точки доступа:
Pokrovsky, O.S.; Reynolds, B.C.; Prokushkin, A. S.; Прокушкин, Анатолий Станиславович; Schott, J.; Viers, J.; BIO-GEO-CLIM Mega-grant of the Ministry of Education and Science of the Russian Federation; Tomsk State University [14.B25.31.0001]; ANR "Arctic Metals"; GDRI CAR WET SIB and LIA LEAGE International Laboratories [RFFI 10-05-92513, 11-04-10056]; CRDF [RUG1-2980-KR-10]; Program of Presidium RAS [12-P-5-1021]; Program of Presidium UrORAS [12-U-5-1034]

/ 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.

Scopus

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.

/ A. V. Kirdyanov [et al.] // Chemical Geology. - 2008. - Vol. 252, Is. 1-2. - P31-41, DOI 10.1016/j.chemgeo.2008.01.023 . - ISSN 0009-2541
Аннотация: We present the first and longest (413 years) dataset on stable carbon isotope ratios in tree-ring cellulose (δ13C), tree-ring width (TRW), and maximum latewood density (MXD) obtained from larch trees growing on permafrost under continental climate in the Suntar Khayata mountain ridge in Eastern Siberia (Russia). With this first study we calibrate tree-ring parameters against climate quantities, and based on these results assess the potential added value of MXD and especially of δ13C complementing TRW analysis for future climate reconstruction purposes. δ13C chronologies were corrected for human induced changes in atmospheric CO2 since AD 1800. Two different approaches were compared i) a correction referring merely to the decline in atmospheric δ13C (δ13Catm) and ii) a correction additionally accounting for the increase in atmospheric partial pressure of CO2. δ13C chronologies are characterized by strong signal strength with only 4 trees representing the population signal at the site (mean inter-series correlation = 0.71 and EPS = 0.90). δ13C variation shows low similarity to TRW and MXD, while correlation between TRW and MXD is highly significant. Correlation analysis of tree-ring parameters with gridded instrumental data (Climate Research Unit, CRU TS 2.1) over the AD 1929-2000 calibration period demonstrates that TRW and MXD react as reported from other sites at cold and humid northern latitudes: precipitation plays no significant role, but strong dependencies on monthly mean, maximum and minimum temperatures, particularly of the current summer (June to August), are found (up to r = 0.60, p < 0.001). Combining instrumental data to a summer season mean (JJA) and TRW and MXD to a growth parameter mean (TRW + MXD), clearly shows the importance of the number of frost days and minimum temperatures during summer (r = 0.67, p < 0.001) to dominate tree growth and highlights the potential for climate reconstruction. Carbon isotope fixation in tree rings is obviously less controlled by temperature variables. In particular, the frost days and minimum temperature have a much smaller influence on δ13C than on tree growth. δ13C strongly reacts to current-year July precipitation (r = - 0.44, p < 0.05) and June-July maximum temperature (r = 0.46, p < 0.001). All significant (p < 0.05) correlation coefficients are higher when using the corrected δ13C chronology considering an additional plant physiological response on increasing atmospheric CO2 concentration, than using the chronology corrected for δ13Catm changes alone. Spatial distribution of correlations between tree-ring data and climate variables for Eastern Siberia indicates that the summer temperature regime in the studied region is mostly influenced by Arctic air masses, but precipitation in July seems to be brought out from the Pacific region. Both the combined TRW + MXD record and the δ13S{cyrillic} record revealed a high reconstruction potential for summer temperature and precipitation, respectively, particularly on decadal and longer-term scales. © 2008 Elsevier B.V. All rights reserved.

Scopus,
Полный текст,
WOS

Держатели документа:
V.N.Sukachev Institute of Forest SB RAS, Akademgorodok, Krasnoyarsk, 660036, Russian Federation
Swiss Federal Research Institute WSL, 8903 Birmensdorf, Switzerland
Melnikov Institute, Permafrost SB RAS Yakutsk, Russian Federation
Research Centre Juelich GmbH, Institute of Chemistry and Dynamics in Geosphere: ICG-V, Juelich, Germany

Доп.точки доступа:
Kirdyanov, A.V.; Treydte, K.S.; Nikolaev, A.; Helle, G.; Schleser, G.H.

/ B. Wild [et al.] // Soil Biology and Biochemistry. - 2013. - Vol. 67. - P85-93, DOI 10.1016/j.soilbio.2013.08.004 . - ISSN 0038-0717
Аннотация: Turbic Cryosols (permafrost soils characterized by cryoturbation, i.e., by mixing of soil layers due to freezing and thawing) are widespread across the Arctic, and contain large amounts of poorly decomposed organic material buried in the subsoil. This cryoturbated organic matter exhibits retarded decomposition compared to organic material in the topsoil. Since soil organic matter (SOM) decomposition is known to be tightly linked to N availability, we investigated N transformation rates in different soil horizons of three tundra sites in north-eastern Siberia and Greenland. We measured gross rates of protein depolymerization, N mineralization (ammonification) and nitrification, as well as microbial uptake of amino acids and NH4 + using an array of 15N pool dilution approaches. We found that all sites and horizons were characterized by low N availability, as indicated by low N mineralization compared to protein depolymerization rates (with gross N mineralization accounting on average for 14% of gross protein depolymerization). The proportion of organic N mineralized was significantly higher at the Greenland than at the Siberian sites, suggesting differences in N limitation. The proportion of organic N mineralized, however, did not differ significantly between soil horizons, pointing to a similar N demand of the microbial community of each horizon. In contrast, absolute N transformation rates were significantly lower in cryoturbated than in organic horizons, with cryoturbated horizons reaching not more than 32% of the transformation rates in organic horizons. Our results thus indicate a deceleration of the entire N cycle in cryoturbated soil horizons, especially strongly reduced rates of protein depolymerization (16% of organic horizons) which is considered the rate-limiting step in soil N cycling. В© 2013 The Authors.

Scopus,
Полный текст

Держатели документа:
University of Vienna, Department of Microbiology and Ecosystem Science, Division of Terrestrial Ecosystem Research, Althanstrasse 14, 1090 Vienna, Austria
Austrian Polar Research Institute, 1090 Vienna, Austria
University of South Bohemia, Department of Ecosystems Biology, Branisovska 31, 37005 Ceske Budejovice, Czech Republic
Leibniz Universitat Hannover, Institut fur Bodenkunde, Herrenhauser Strasse 2, 30419 Hannover, Germany
International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, 2361 Laxenburg, Austria
Central Siberian Botanical Garden, Siberian Branch of Russian Academy of Sciences, St. Zolotodolinskaya 101, 630090 Novosibirsk, Russian Federation
VN Sukachev Institute of Forest, Siberian Branch of Russian Academy of Sciences, Akademgorodok, 660036 Krasnoyarsk, Russian Federation
University of Vienna, Department of Ecogenomics and Systems Biology, Althanstrasse 14, 1090 Vienna, Austria
University of Bergen, Department of Biology/Centre for Geobiology, Allegaten 41, 5007 Bergen, Norway
Northeast Scientific Station, Pacific Institute for Geography, Far-East Branch of Russian Academy of Sciences, 678830 Chersky, Republic of Sakha, Russian Federation

Доп.точки доступа:
Wild, B.; Schnecker, J.; Barta, J.; Capek, P.; Guggenberger, G.; Hofhansl, F.; Kaiser, C.; Lashchinsky, N.; Mikutta, R.; Mooshammer, M.; Santruckova, H.; Shibistova, O.; Urich, T.; Zimov, S.A.; Richter, A.

/ A. A. Onuchin, T. A. Burenina // Arctic and Alpine Research. - 1996. - Vol. 28, Is. 1. - P99-103 . - ISSN 0004-0851
Аннотация: A body of data on snow density at different phases of snow-cover formation, in different areas provided the basis for building a model accounting for variation of snow density with the most essential factors. The obtained equation shows that the snow density increases with snow depth, snow-cover period, and mean January air temperature. The most intensive is the change of the snow density with air temperature variation in the range from -2 to -10В°C. Within the range of -10 to -25В°C, the snow density varies slightly, and below -25В°C the changes in temperatures do not cause marked changes in snow density. Spatial distribution of snow-cover density background values in North Eurasia is given. The scheme presented shows that there are two regions where the density of the snow cover is very low and does not exceed 0.15 to 0.18 g cm-3. One of them encompasses central Yakutia and northern Transbaikal regions; the other covers Inner Mongolia. These regions are characteristic of extremely continental climate with shallow snow cover and low winter air temperatures. Snow density is substantially affected by orography of the terrain, which complicates the zonal patterns in variability of meteorological parameters. Zones with elevated density of the snow cover are apparent in the Caucasus, in mountain systems of Siberia, the Far East, and Middle Asia. The obtained model accounts for climato-geographical patterns in space-and-time variability of snow density over the territory of Northern Eurasia and can be used for coarse estimation of snow density in the areas with insufficient experiimental data.

Scopus,
WOS

Держатели документа:
Lab. of Forest Climate and Hydrology, V.N. Sukachev Institute of Forest, Russian Academy of Sciences, Krasnoyarsk 660036, Russian Federation

Доп.точки доступа:
Onuchin, A.A.; Burenina, T.A.

/ D. G. Schepaschenko [et al.] // Contemp. Probl. Ecol. - 2015. - Vol. 8, Is. 7. - P811-817, DOI 10.1134/S1995425515070136 . - ISSN 1995-4255
Аннотация: We review up-to-date, open access remote sensing (RS) products related to forest. We created a hybrid forest/non-forest map using geographically weighted regression (GWR) based on a number of recent RS products and crowdsourcing. The hybrid map has spatial resolution of 230 m and shows the extent of forest in Russia in 2010. We estimate area of Russian forest as 711 million ha (in accordance with Russian national forest definition). Compared to official data of the State Forest Register (SFR), RS estimates the area of forest to be considerably larger in European part (+12.2 million ha or +8%) and smaller in Asian (–39.8 million ha or–7%) part of Russia. We report the changing forest area in 2001–2010 and discuss main drivers: wildfire and encroachment of abandoned arable land. The methodology used here can by applied for monitoring of forest cover and enhancing the forest accounting system in Russia. © 2015, Pleiades Publishing, Ltd.

Scopus,
WOS

Держатели документа:
International Institute for Applied Systems Analysis, Schlossplatz 1, Laxenburg, Austria
Moscow State Forest University, ul. Institutskaya 1, Mytischi, Moscow oblast, Russian Federation
Sukachev Institute of Forest, Siberian Branch, Russian Academy of Sciences, Akademgorodok 50/28, Krasnoyarsk, Russian Federation
Lviv Polytechnic National University, vul. Bandera 12, Lviv, Ukraine
Russian Institute of Continuous Education in Forestry, ul. Institutskaya 17, Pushkino, Moscow oblast, Russian Federation

Доп.точки доступа:
Schepaschenko, D. G.; Shvidenko, A. Z.; Lesiv, M. Y.; Ontikov, P. V.; Shchepashchenko, M. V.; Kraxner, F.

/ A. Chen [et al.] // Agric. Ecosyst. Environ. - 2016. - Vol. 232. - P302-311, DOI 10.1016/j.agee.2016.08.018 . - ISSN 0167-8809
Аннотация: A decrease in C inputs from the return of crop residues to soil has occurred in many regions worldwide in recent years. The effects of this decline in C inputs could provide valuable information for assessing the long-term impact of litter C inputs on soil organic C (SOC) in rice paddy soils. The present study aimed to evaluate the response of rice paddy SOC accumulation to changes in actual C inputs in subtropical China, with emphasis on the response of C accumulation to declining C inputs. For this, we used a long-term field experiment on paddy soil in a rice-rice (Oryza sativa L.) cropping system running from 1990 to 2014. The four treatments were CK (control, no fertilizer), OM (organic matter application), NPK (N, P, and K fertilizer application), and NPKOM (NPK and organic matter application). Organic matter application for the OM and NPKOM treatments included rice straw and green manure that were left in the field after harvest and chopped, along with rice residues with stubbles and roots. In all treatments, C sequestration showed an increasing trend (from 0.207 to 0.880 g kg?1 yr?1) in the early and middle stages of the experiment (1990–2006) followed by a decreasing trend (from ?0.429 to ?0.064 g kg?1 yr?1) in the late stage (2007–2014). The trends were more pronounced for the OM and NPKOM treatments than for their CK and NPK counterparts. The changes in SOC stocks were consistent with changes in C inputs (p < 0.01). During the late stage, yield and litter inputs from crop residues and green manure decreased, quickly affecting SOC stock in paddy soils. This declining trend in annual rice yields was mainly caused by the decline in first rice yields, accounting for 42.3–91.5% of the decrease in annual C inputs. Insufficient P or N and K supply and unfavorable climatic factors (decreases in sunshine duration and both maximum and minimum temperatures) are possible reasons for the decline in first rice yields and green manure biomass in the late stage. Collectively, the results suggest that C stocks in high-productivity paddy soils respond very sensitively to a decline in C inputs. This raises the risk of loss of C stock in paddy soil if, in the long run, a large return of C to soil with crop residues or by other sources, e.g., green manure, cannot be achieved. © 2016 Elsevier B.V.

Scopus,
Смотреть статью,
WOS

Держатели документа:
Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of SciencesHunan, China
Department of Soil Science of Temperate Ecosystems, Department of Agricultural Soil Science, University of Gottingen, Gottingen, Germany
Institute of Soil Science, Leibniz Universitat Hannover, Hannover, Germany
VN Sukachev Institute of Forest, SB-RAS, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Chen, A.; Xie, X.; Dorodnikov, M.; Wang, W.; Ge, T.; Shibistova, O.; Wei, W.; Guggenberger, G.

/ E. A. Kukavskaya [et al.] // For. Ecol. Manage. - 2016. - Vol. 382. - P225-235, DOI 10.1016/j.foreco.2016.10.015 . - ISSN 0378-1127
Аннотация: Wildfires are one of the main disturbances that impact structure, sustainability, and carbon budget of Siberian forests, as well as infrastructure and human safety. The Zabaikal region in the south of Siberia is characterized by one of the highest levels of fire activity in Russia. We have estimated fire disturbances in the Zabaikal region using both a satellite fire dataset and official fire statistics. Both datasets show a trend of increasing fire activity in the region. According to the satellite fire dataset, from 1996 to 2015 total annual area burned in the Zabaikal region varied from 0.12 to 6.33 M ha with forest area burned accounting for 0.04–5.60 M ha. The highest fire activity was observed in the central and southern parts of the Zabaikal region. About 13% (3.88 M ha) of the total forest area in the Zabaikal region was burned more than once during the 20-yr period of observation, with many sites burned multiple times. Fire disturbance was highest in forests dominated by Scots pine. We have evaluated fire impact on fuel loads, carbon emissions, and tree regeneration on about 150 sites in the light-coniferous (larch or Scots pine dominated) forests of the region. Carbon emissions from fires on repeatedly burned areas were 3–50% of those from previously undisturbed sites. Regeneration density depended on site conditions and fire characteristics. Inadequate regeneration for forest recovery was observed in Scots pine stands on dry nutrient-poor soils as well as on repeatedly-disturbed sites. This regeneration failure is leading to transformation of forests to steppe ecosystems on some sites. We conclude that negative impacts of fire disturbance on forests of the Zabaikal region could be decreased through implementation of fire prevention measures with emphasis on education of local communities as well as construction and maintenance of a fuel break system, first of all, nearby settlements and tree plantations. © 2016 Elsevier B.V.

Scopus,
Смотреть статью,
WOS

Держатели документа:
V.N. Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Sciences, 50/28 Akademgorodok, Krasnoyarsk, Russian Federation
Siberian State Technological University, 82 Mira, Krasnoyarsk, Russian Federation
Emeritus Scientist, US Forest Service, Rocky Mountain Research Station, Missoula, MT, United States
Emeritus Scientist, George Mason University, 4400 University Drive, Fairfax, VA, United States

Доп.точки доступа:
Kukavskaya, E. A.; Buryak, L. V.; Shvetsov, E. G.; Conard, S. G.; Kalenskaya, O. P.

/ N. Bischoff [et al.] // Biogeosciences. - 2018. - Vol. 15, Is. 1. - P13-29, DOI 10.5194/bg-15-13-2018. - Cited References:71. - This study was funded by the Federal Ministry of Education and Research (Germany) in the framework of the Kulunda project (01LL0905). Olga Shibistova and Georg Guggenberger appreciate funding from the Russian Ministry of Education and Science (no. 14.B25.31.0031). Thanks to the entire Kulunda team for good collaboration and great team spirit. Silke Bokeloh, Elke Eichmann-Prusch, Ulrieke Pieper, Fabian Kalks, and Michael Klatt are acknowledged for their reliable assistance in the laboratory. Special thanks to Leopold Sauheitl for his excellent guidance in the lab. We thank the associate editor and two anonymous reviewers for valuable suggestions on the paper and appreciate the fruitful comments of the scientific community in the Biogeosciences discussion forum. . - ISSN 1726-4170. - ISSN 1726-4189РУБ Ecology + Geosciences, Multidisciplinary

Аннотация: Salt-affected soils will become more frequent in the next decades as arid and semiarid ecosystems are predicted to expand as a result of climate change. Nevertheless, little is known about organic matter (OM) dynamics in these soils, though OM is crucial for soil fertility and represents an important carbon sink. We aimed at investigating OM dynamics along a salinity and sodicity gradient in the soils of the southwestern Siberian Kulunda steppe (Kastanozem, non-sodic Solonchak, Sodic Solonchak) by assessing the organic carbon (OC) stocks, the quantity and quality of particulate and mineral-associated OM in terms of non-cellulosic neutral sugar contents and carbon isotopes (delta C-13, C-14 activity), and the microbial community composition based on phospholipid fatty acid (PLFA) patterns. Aboveground biomass was measured as a proxy for plant growth and soil OC inputs. Our hypotheses were that (i) soil OC stocks decrease along the salinity gradient, (ii) the proportion and stability of particulate OM is larger in salt-affected Solonchaks compared to non-salt-affected Kastanozems, (iii) sodicity reduces the proportion and stability of mineral-associated OM, and (iv) the fungi : bacteria ratio is negatively correlated with salinity. Against our first hypothesis, OC stocks increased along the salinity gradient with the most pronounced differences between topsoils. In contrast to our second hypothesis, the proportion of particulate OM was unaffected by salinity, thereby accounting for only 10% in all three soil types, while mineral-associated OM contributed 90 %. Isotopic data (delta C-13, C-14 activity) and neutral sugars in the OM fractions indicated a comparable degree of OM transformation along the salinity gradient and that particulate OM was not more persistent under saline conditions. Our third hypothesis was also rejected, as Sodic Solonchaks contained more than twice as much mineral-bound OC than the Kastanozems, which we ascribe to the flocculation of OM and mineral components under higher ionic strength conditions. Contrary to the fourth hypothesis, the fungi : bacteria ratio in the topsoils remained fairly constant along the salinity gradient. A possible explanation for why our hypotheses were not affirmed is that soil moisture covaried with salinity along the transect, i.e., the Solonchaks were generally wetter than the Kastanozems. This might cause comparable water stress conditions for plants and microorganisms, either due to a low osmotic or a low matric potential and resulting in (i) similar plant growth and hence soil OC inputs along the transect, (ii) a comparable persistence of particulate OM, and (iii) unaffected fungi : bacteria ratios. We conclude that salt-affected soils contribute significantly to the OC storage in the semiarid soils of the Kulunda steppe, while most of the OC is associated with minerals and is therefore effectively sequestered in the long term.

WOS,
Смотреть статью,
Scopus

Держатели документа:
Leibniz Univ Hannover, Inst Soil Sci, Herrenhauser Str 2, D-30419 Hannover, Germany.
Martin Luther Univ Halle Wittenberg, Soil Sci & Soil Protect, Von Seckendorff Pl 3, D-06120 Halle, Saale, Germany.
Russian Acad Sci, Siberian Branch, VN Sukachev Inst Forest, Akademgorodok 50, Krasnoyarsk 660036, Russia.
Fed Inst Geosci & Nat Resources, Stilleweg 2, D-30655 Hannover, Germany.
Russian Acad Sci, Siberian Branch, Inst Water & Environm Problems, Molodezhnaya St 1, Barnaul 656038, Russia.
Altai State Univ, Fac Biol, Prospekt Lenina 61a, Barnaul 656049, Russia.

Доп.точки доступа:
Bischoff, Norbert; Mikutta, Robert; Shibistova, Olga; Dohrmann, Reiner; Herdtle, Daniel; Gerhard, Lukas; Fritzsche, Franziska; Puzanov, Alexander; Silanteva, Marina; Grebennikova, Anna; Guggenberger, Georg; Federal Ministry of Education and Research (Germany) [01LL0905]; Russian Ministry of Education and Science [14.B25.31.0031]

/ I. D. Grodnitskaya [et al.] // Microbiology. - 2018. - Vol. 87, Is. 1. - P89-102, DOI 10.1134/S0026261718010083 . - ISSN 0026-2617
Аннотация: The structure and functional activity of microbial complexes of a forest oligo-mesotrophic subshrub- grass-moss bog (OMB, Central Evenkiya) and a subshrub-sedge bog in the polygonal tundra (PB, Lena River Delta Samoylovsky Island) was studied. Soil of the forest bog (OMB) differed from that of the polygonal tundra bog (PB) in higher productivity (Corg, Ntotal, P, and K reserves), higher biomass of aerobic chemoorganotrophs (2.0 to 2.6 times), and twice the level of available organic matter. The contribution of microorganisms to the carbon pool was different, with the share of Cmic in Corg 1.4 to 2.5 times higher in PB compared to OMB. Qualitative composition of the methane cycle microorganisms in PB and OMB soils differed significantly. Methanogenic archaea (Euryarchaeota) in the shrub-sedge PB of tundra were more numerous and diverse than in the oligo-mesotrophic bog (OMB) and belonged to six families (Methanomassiliicoccaceae, Methanoregulaceae, Methanobacteriaceae, Methanomicrobiaceaee, Methanosarcinaceae, and Methanotrichaceae), while members of only four families (Methanosarcinacea, Methanobacteriaceae, Methanotrichaceae, and Methanomassiliicoccaceae) were revealed in OMB. In both bogs, methane-oxidizing bacteria belonged to Alphaproteobacteria (II) and Gammaproteobacteria (I). Methanotroph diversity was higher in OMB than in PB. Microbial communities of PB soils had higher potential activity of methanogenesis and methanotrophy compared to those of OMB. Methanogenic and methanotrophic activities in PB were 20 and 2.3 times higher, respectively, than in OMB. © 2018, Pleiades Publishing, Ltd.

Scopus,
Смотреть статью,
WOS

Держатели документа:
Sukachev Institute of Forest, Siberian Branch, Russian Academy of Sciences, Krasnoyarsk, Russian Federation
Institute of Biophysics, Siberian Branch, Russian Academy of Sciences, Krasnoyarsk, Russian Federation
Information and Methodical Center for Expertise, Accounting, and Analysis of Rotation of Medical Agents, Kranoyarsk, Russian Federation
Roche Diagnostika Rus, Moscow, Russian Federation

Доп.точки доступа:
Grodnitskaya, I. D.; Trusova, M. Y.; Syrtsov, S. N.; Koroban, N. V.

[Текст] : статья / Д. Г. Замолодчиков [и др.] // Лесоведение. - 2019. - № 5. - С. 323-340, DOI 10.1134/S0024114819050127 . - ISSN 0024-1148
   Перевод заглавия: Contribution of Academician A.S. Isaev to Advancement of Forest Science

УДК	630*453+630*58+630*162.5+630*182.3

Аннотация: Рассмотрен вклад академика А.С. Исаева в развитие лесной науки. Наиболее существенные достижения находятся в русле четырех направлений: лесная энтомология, аэрокосмический мониторинг лесов, цикл углерода в лесах, биоразнообразие лесов. В области лесной энтомологии А.С. Исаевым с соавторами предложена феноменологическая теория динамики численности лесных насекомых. Эта теория объясняет все возможные режимы динамики численности, не требует построения конкретных математических моделей динамики численности популяции, указывает, какие ключевые характеристики динамики необходимо оценить для определения возможности и рисков вспышек массового размножения. А.С. Исаев одним из первых понял огромные возможности аэрокосмического мониторинга лесов. Им была предложена концепция многоуровневой системы дистанционного мониторинга лесов, способная решать разнообразные научные и практические задачи. Большое внимание А.С. Исаев уделил проблеме углеродного цикла лесов в связи с проблемой изменения климата. В его публикациях даны первые оценки запасов и депонирования углерода лесами России, полученные на основе лесоучетной информации. Методы расчета углеродных параметров, предложенные в этих работах, были позже закреплены в руководствах МГЭИК по составлению национальных кадастров парниковых газов. Методология мониторинга биоразнообразия лесов, разработанная под руководством академика А.С. Исаева, базируется на концептуальном подходе, учитывающем пространственно-временную динамику лесообразовательного процесса, с применением методов математического моделирования, позволяющего интерпретировать процессы и прогнозировать изменения. Данная технология обеспечивает выявление тенденций изменения породно-возрастной структуры лесов и позволяет осуществлять прогнозное моделирование их естественной и антропогенной динамики при различных режимах охраны, использования и воспроизводства.
The contribution of academician A.S. Isaev to advancement of forest science is considered. The most significant achievements were in the spheres of forest entomology, aerospace monitoring of forests, forest carbon cycle and forest biodiversity. A.S. Isaev and coauthors have put forward phenomenological theory of population dynamics of forest insects. It encompasses all possible types of population dynamics, it does not demand the specific mathematical models of population dynamics and points at the key features, controlling the probability and risks of the outbreaks. A.S. Isaev was among the pioneers of aerospace monitoring of forests. He proposed the concept of multi-layered system of the remote monitoring of forests to address various research and applied demands. A.S. Isaev have payed high attention to forest carbon cycle associated to the challenges of climate change. He have published the first estimates of the forest carbon storage and deposition in Russia based on the forest inventory data. The methods of accounting of carbon were later included in technical guidance of the IPCC on the National Reporting on Inventory of Greenhouse Gases. The technology of monitoring of biodiversity of forest developed under the supervision of academician A.S. Isaev takes into account spatiotemporal dynamics of forest forming processes, applies mathematical modeling of processes and forecasts changes. It allows deciphering the trends in species and age structure of forests and model predictions of natural and human-induced dynamics under different protection, exploitation and regeneration.

РИНЦ

Держатели документа:
Институт космических исследований РАН
Институт леса им. В.Н. Сукачева СО РАН : 660036, Красноярск, Академгородок, 50, стр. 28
Московский государственный университет имени М.В. Ломоносова, биологический ф-т
Центр по проблемам экологии и продуктивности лесов РАН

Доп.точки доступа:
Замолодчиков, Д.Г.; Zamolodchikov D.G.; Суховольский, Владислав Григорьевич; Soukhovolsky Vladislav Grigor'yevich; Барталев, С.А.; Bartalev S.A.; Лукина, Н.В.; Lukina N.V.

/ D. Schepaschenko [et al.] // Sci Data. - 2019. - Vol. 6, Is. 1. - P198, DOI 10.1038/s41597-019-0196-1 . - ISSN 2052-4463
Аннотация: Forest biomass is an essential indicator for monitoring the Earth's ecosystems and climate. It is a critical input to greenhouse gas accounting, estimation of carbon losses and forest degradation, assessment of renewable energy potential, and for developing climate change mitigation policies such as REDD+, among others. Wall-to-wall mapping of aboveground biomass (AGB) is now possible with satellite remote sensing (RS). However, RS methods require extant, up-to-date, reliable, representative and comparable in situ data for calibration and validation. Here, we present the Forest Observation System (FOS) initiative, an international cooperation to establish and maintain a global in situ forest biomass database. AGB and canopy height estimates with their associated uncertainties are derived at a 0.25?ha scale from field measurements made in permanent research plots across the world's forests. All plot estimates are geolocated and have a size that allows for direct comparison with many RS measurements. The FOS offers the potential to improve the accuracy of RS-based biomass products while developing new synergies between the RS and ground-based ecosystem research communities.

Scopus,
Смотреть статью,
WOS

Держатели документа:
Ecosystems Services and Management Program, International Institute for Applied Systems Analysis, Laxenburg, A-2361, Austria
Forestry faculty, Bauman Moscow State Technical University, Mytischi141005, Russian Federation
Laboratoire Evolution et Diversite Biologique CNRS/Universite Paul Sabatier, Toulouse, France
School of Geography, University of Leeds, Leeds, LS2 9JT, United Kingdom
University College London, 30 Guilford Street, London, WC1N 1EH, United Kingdom
Forest Global Earth Observatory, Smithsonian Tropical Research Institute, P.O. Box 37012WA 20013, United States
AMAP, IRD, CNRS, CIRAD, INRA, University Montpellier, Montpellier, France
CIRAD, Forets et Societes, Campus International de Baillarguet, Montpellier, F-34398, France
Forets et Societes, Univ Montpellier, CIRAD, Montpellier, F-34398, France
European Space Agency, ESTEC, Noordwijk, Netherlands
Ecosystems Services and Management Program, International Institute for Applied Systems Analysis, Laxenburg, A-2361, Austria
Spatial Focus GmbHVienna, Austria
Department Foresterie et Environnement (DFR FOREN), Institut National Polytechnique Felix Houphouet-Boigny, BP 2661Yamoussoukro, Cote d'Ivoire
Mensuration Unit, Forestry Commission of Ghana, Kumasi, Ghana
Center of Forest Ecology and Productivity of the Russian Academy of SciencesMoscow 117997, Russian Federation
Smithsonian Conservation Biology Institute, 1100 Jefferson Dr SW, DCWA, United States
Centre for International Forestry Research, CIFOR, Jalan CIFOR ,Situ Gede, Bogor, 16115, Indonesia
Universidad Autonoma Gabriel Rene MorenoSanta Cruz, Bolivia
Department of Geographical Sciences, University of Maryland, MD, 2181 Lefrak Hall ,College Park20742, United States
Joint Remote Sensing Research Program, School of Earth and Environmental Sciences, University of Queensland, Chamberlain Building (35), Campbell Road ,St Lucia Campus, Brisbane, 4072, Australia
Museo de Historia Natural Noel Kempff Mercado, Universidad Autonoma Gabriel Rene Moreno Av. Irala 565 - casillaSanta Cruz 2489, Bolivia
Instituto Boliviano de Investigacion Forestal, Av. 6 de agosto # 28, Km 14 doble via La GuardiaCasillaSanta Cruz 6204, Bolivia
Embrapa, Rodovia AM 10, km 29AM, Manaus, 69010-970, Brazil
Forest Research Institute, Department of Geomatics, Braci Lesnej 3 ,Sekocin Stary, Raszyn, 05-090, Poland
ONF, ONF-Reserve de Montabo Cayenne Cedex, Cayenne, BP 7002; 97307, French Guiana
Landscapes and Livelihoods Group, 20 Chambers St, Edinburgh, EH1 1JZ, United Kingdom
National University of Life and Environmental Sciences of Ukraine, General Rodimtsev 19Kyiv 3041, Ukraine
Herbier National du Gabon (IPHAMETRA), B.P 1165, Libreville, Gabon
Institute of Biology, Komi Scientific Center, Ural Branch of Russian Academy of Sciences, Syktyvkar, 167982, Russian Federation
School of Biological Sciences, University of Aberdeen, Cruickshank Building, St Machar Drive, Aberdeen, AB24 3UU, United Kingdom
Morton Arboretum, 4100 Illinois Rte. 53, Lisle, 60532, United States
Department of Environment and Geography, University of York, Heslington, York, YO10 5NG, United Kingdom
V.N. Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Science, Krasnoyarsk, 660036, Russian Federation
Instituto de Investigaciones de la Amazonia Peruana, Av. Abelardo Quinones km 2.5Apartado Postal 784, Iquitos, Peru
CIRAD, UMR EcoFoG, Campus Agronomique - BP 701, Kourou, 97387, French Guiana
Embrapa, Rodovia Juscelino Kubitscheck, no 2.600, 68903-419, Km 5Caixa Postal 10, Macapa, Brazil
Embrapa, BR 364, Caixa postal 321, Rio Branco, 69.900-970, Brazil
SI Entomology, Smithsonian Institution, DC, PO Box 37012 ,MRC 187WA, United States
Department Forest Ecology and Management, Swedish University of Agricultural Sciences, SLU, Umea, SE 901 83, Sweden
Geography, College of Life and Environmental Sciences, University of Exeter, Laver Building, North Park Road, Exeter, EX4 4QE, United Kingdom
Forestry Research Institute of Ghana, KNUST, UP Box 63, Kumasi, Ghana
Field Musium, 1400S Lake Shore Dr, Chicago, 60605, United States
Universidad Politecnica de Madrid ,Calle Ramiro de MaeztuMadrid 28040, Spain
Institut Centrafricain de Recherche Agronomique, ICRA, BP 122Bangui, Central African Republic
School of Biology, University of Leeds, Leeds, LS2 9JT, United Kingdom
Forestry and Environment Research Development and Innovation Agency, Jalan Gunung Batu No 5, Bogor, 16610, Indonesia
Instituto Nacional de Pesquisas da Amazonia - Coordenacao de Pesquisas em Silvicultura Tropical, Manaus, 69060-001, Brazil
Gent-Woodlab, Laboratory of Wood Technology, Department of Environment, Ghent University, Ghent, 9000, Belgium
Department of Ecology and Evolutionary Biology, University of California, 621 Charles E. Young Dr. South, Los Angeles, CA, 90095-1606, USA
Embrapa Amazonia Oriental, Travessa Doutor Eneas Pinheiro, Belem, 66095-903, Brazil
World Wildlife Fund, Calle Diego de Mendoza 299, Santa Cruz de la Sierra, Bolivia
boulevard Francois Mitterrand01BP 3770Abidjan, Cote d'Ivoire
Global Change Research Institute CAS, Belidla 986/4a, Brno, 603 00, Czech Republic
Department of Geography and Earth Sciences, Aberystwyth University, AberystwythSY23 3DB, United Kingdom
School of Geography and the Environment, University of Oxford, Oxford, OX1 3QY, United Kingdom
Laboratorio de Ecologia Vegetal, Universidade do Estado de Mato Grosso, UNEMAT, Campus de Nova Xavantina, Nova Xavantina, Mato Grosso 78.690-000, Brazil
Jardin Botanico de Missouri; Universidad Nacional de San Antonio Abad del Cusco, Oxapampa, Peru
Russian Institute of Continuous Education in Forestry, Pushkino, 141200, Russian Federation
Institute for Evolutionary Ecology of the National Academy of Sciences of UkraineKyiv 03143, Ukraine
University of Oregon, 1585 E 13th AveOR, Eugene, 97403, United States
Forest Management in Bolivia, Bolivia
FRIM Forest Reserach Institute of Malaysia, 52109 Kepong, Selangor, Kuala Lumpur, Malaysia
Hiroshima University, 1-7-1 Kagamiyama ,Higashi-HiroshimaHiroshima 739-8521, Japan
Forestry faculty, Bauman Moscow State Technical University, Mytischi141005, Russian Federation
Center for Agricultural research in SurinameParamaribo 1914, Suriname
Nicholas School of the Environment, Duke University, P.O. Box 90328, Durham, 27708, United States
IIC, Iwokrama International Centre for Rain Forest Conservation and Development, 77 High Street, Georgetown, Guyana
Cibodas Botanic Gardens - Indonesian Institute of Sciences (LIPI)43253, Indonesia
Smithsonian Tropical Research Institute, Balboa, Ancon, Panama 3092, Panama
Museu Universitario, Universidade Federal do Acre, BR 364, Km 04 - Distrito Industrial, Rio Branco, 69915-559, Brazil
Guyana Forestry Commission, 1 Water Street, Guyana
Plant Systematic and Ecology Laboratory, University of Yaounde I, P.O. Box 047, Yaounde, Cameroon
Bioversity international, P.O. Box 2008, Yaounde
Naturalis Biodiversity Center, Leiden, Netherlands
School of Natural Sciences, Bangor University, Thoday Building. Deiniol Rd, Bangor, LL57 2UW, United Kingdom
Siberian Federal University, 79, Krasnoyarsk, 660041, Russian Federation
Reshetnev Siberian state university of science and technology, pr. Mira 82, Krasnoyarsk, 660049, Russian Federation
Department of Forest Sciences, Luiz de Queiroz College of Agriculture, University of Sao Paolo, PO Box 9 ,Av. Padua Dias ,11, Piracicaba, Sao Paulo 13418-900, Brazil
State Nature Reserve Denezhkin Kamen, Sverdlovsk reg, Lenina, Russian Federation
International Center for Tropical Botany, Department of Biological Sciences, Florida International University, FL, 11200 S.W. 8th Street, Miami, 33199, United States
Universidad Autonoma del Beni, Riberalta, Bolivia
Department of Microbiology and Ecosystem Science, Division of Terrestrial Ecosystem research, University of Vienna, Althanstrasse 14Vienna A-1090, Austria
New Zealand Forest Research Institute (Scion) Te Papa Tipu Innovation Park ,49 Sala Street, Rotorua, 3046, New Zealand
Unaffiliated (retired), Bad Aussee, 8990, Austria
W.R.T College of Agriculture and Forestry, University of Liberia, Capitol Hill, Monrovia, 9020, Liberia
FRIM Forest Research Institute of Malaysia, 52109 Kepong, Selangor, Kuala Lumpur, Malaysia

Доп.точки доступа:
Schepaschenko, D.; Chave, J.; Phillips, O. L.; Lewis, S. L.; Davies, S. J.; Rejou-Mechain, M.; Sist, P.; Scipal, K.; Perger, C.; Herault, B.; Labriere, N.; Hofhansl, F.; Affum-Baffoe, K.; Aleinikov, A.; Alonso, A.; Amani, C.; Araujo-Murakami, A.; Armston, J.; Arroyo, L.; Ascarrunz, N.; Azevedo, C.; Baker, T.; Balazy, R.; Bedeau, C.; Berry, N.; Bilous, A. M.; Bilous, S. Y.; Bissiengou, P.; Blanc, L.; Bobkova, K. S.; Braslavskaya, T.; Brienen, R.; Burslem, D. F.R.P.; Condit, R.; Cuni-Sanchez, A.; Danilina, D.; Del Castillo Torres, D.; Derroire, G.; Descroix, L.; Sotta, E. D.; d'Oliveira, M. V.N.; Dresel, C.; Erwin, T.; Evdokimenko, M. D.; Falck, J.; Feldpausch, T. R.; Foli, E. G.; Foster, R.; Fritz, S.; Garcia-Abril, A. D.; Gornov, A.; Gornova, M.; Gothard-Bassebe, E.; Gourlet-Fleury, S.; Guedes, M.; Hamer, K. C.; Susanty, F. H.; Higuchi, N.; Coronado, E. N.H.; Hubau, W.; Hubbell, S.; Ilstedt, U.; Ivanov, V. V.; Kanashiro, M.; Karlsson, A.; Karminov, V. N.; Killeen, T.; Koffi, J. -C.K.; Konovalova, M.; Kraxner, F.; Krejza, J.; Krisnawati, H.; Krivobokov, L. V.; Kuznetsov, M. A.; Lakyda, I.; Lakyda, P. I.; Licona, J. C.; Lucas, R. M.; Lukina, N.; Lussetti, D.; Malhi, Y.; Manzanera, J. A.; Marimon, B.; Junior, B. H.M.; Martinez, R. V.; Martynenko, O. V.; Matsala, M.; Matyashuk, R. K.; Mazzei, L.; Memiaghe, H.; Mendoza, C.; Mendoza, A. M.; Moroziuk, O. V.; Mukhortova, L.; Musa, S.; Nazimova, D. I.; Okuda, T.; Oliveira, L. C.; Ontikov, P. V.; Osipov, A. F.; Pietsch, S.; Playfair, M.; Poulsen, J.; Radchenko, V. G.; Rodney, K.; Rozak, A. H.; Ruschel, A.; Rutishauser, E.; See, L.; Shchepashchenko, M.; Shevchenko, N.; Shvidenko, A.; Silveira, M.; Singh, J.; Sonke, B.; Souza, C.; Sterenczak, K.; Stonozhenko, L.; Sullivan, M. J.P.; Szatniewska, J.; Taedoumg, H.; Ter Steege, H.; Tikhonova, E.; Toledo, M.; Trefilova, O. V.; Valbuena, R.; Gamarra, L. V.; Vasiliev, S.; Vedrova, E. F.; Verhovets, S. V.; Vidal, E.; Vladimirova, N. A.; Vleminckx, J.; Vos, V. A.; Vozmitel, F. K.; Wanek, W.; West, T. A.P.; Woell, H.; Woods, J. T.; Wortel, V.; Yamada, T.; Nur Hajar, Z. S.; Zo-Bi, I. C.

/ D. G. Zamolodchikov, V. G. Sukhovol’skii, S. A. Bartalev, N. V. Lukina // Russ. J. For. Sci. - 2019. - Vol. 2019, Is. 5. - С. 323-340, DOI 10.1134/S0024114819050127 . - ISSN 0024-1148
Аннотация: The contribution of academician A.S. Isaev to advancement of forest science is considered. The most significant achievements were in the spheres of forest entomology, aerospace monitoring of forests, forest carbon cycle and forest biodiversity. A.S. Isaev and coauthors have put forward phenomenological theory of population dynamics of forest insects. It encompasses all possible types of population dynamics, it does not demand the specific mathematical models of population dynamics and points at the key features, controlling the probability and risks of the outbreaks. A.S. Isaev was among the pioneers of aerospace monitoring of forests. He proposed the concept of multi-layered system of the remote monitoring of forests to address various research and applied demands. A.S. Isaev have payed high attention to forest carbon cycle associated to the challenges of climate change. He have published the first estimates of the forest carbon storage and deposition in Russia based on the forest inventory data. The methods of accounting of carbon were later included in technical guidance of the IPCC on the National Reporting on Inventory of Greenhouse Gases. The technology of monitoring of biodiversity of forest developed under the supervision of academician A.S. Isaev takes into account spatiotemporal dynamics of forest forming processes, applies mathematical modeling of processes and forecasts changes. It allows deciphering the trends in species and age structure of forests and model predictions of natural and human-induced dynamics under different protection, exploitation and regeneration. © 2019, Izdatel'stvo Nauka. All rights reserved.

Scopus

Держатели документа:
Faculty of Biology, Lomonosov Moscow State University, Leninskie Gory 1 bldg. 12, Moscow, 119991, Russian Federation
Center for Forest Ecology and Productivity of the Russian Academy of Sciences, Profsoyuznaya st. 84/32 bldg, 14, Moscow, 117997, Russian Federation
Forest Institute, Siberian Branch of the Russian Academy of Sciences, Academgorodok 50 bldg. 28, Krasnoyarsk, 660036, Russian Federation
Space Research Institute, Russian Academy of Sciences, Profsoyuznaya st. 84/32, Moscow, 117997, Russian Federation

Доп.точки доступа:
Zamolodchikov, D. G.; Sukhovol’skii, V. G.; Bartalev, S. A.; Lukina, N. V.