: материалы временных коллективов / N. M. Tchebakova [и др.] // Boreal forests in a changing world: challenges and needs for action: Proceedings of the International conference August 15-21 2011, Krasnoyarsk, Russia. - Krasnoyarsk : V.N. Sukachev Institute of forest SB RAS, 2011. - С. 95-100. - Библиогр. в конце ст.
Аннотация: Daily, seasonal and annual dynamics of energy (radiation and neat balance components) and mass (water and carbon dioxide) exchange between the atmosphere and major Siberian ecosystems: a pine forerst, a Sphagnum bog, a true steppe, and a tussock tundra along the yenisei meridian (about 90 graduates E) were analyzed from eddy covariance mrasurements obtained during 1998-2000 and 2002-2004 in the flame of the Siberia-Carbon and TCOS-Siberia projects. All these ecosystems were found to be a carbon of a different strength: -38,-52,-115 and -156 gCm -2 yr in the tundra, bog, steppe, and forest respectively.
Держатели документа:
Институт леса им. В.Н. Сукачева Сибирского отделения Российской академии наук : 660036, Красноярск, Академгородок 50/28
Доп.точки доступа:
Tchebakova, Nadezhda Mikhailovna; Чебакова, Надежда Михайловна; Arneth, A.; Арнес А.; Parfenova, Elena Ivanovna; Парфенова, Елена Ивановна; Vaganov, Yevgeny Alexandrovich; Ваганов Евгений Александрович
Труды сотрудников ИЛ им. В.Н. Сукачева СО РАН
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Energy, water and CO2 exchange in major ecosystems in Central Siberia (from eddy covariance measuraments)
GLOBAL VEGETATION CHANGE PREDICTED BY THE MODIFIED BUDYKO MODEL
[Text] / R. A. MONSERUD, N. M. TCHEBAKOVA, R. . LEEMANS // Clim. Change. - 1993. - Vol. 25, Is. 1. - P59-83, DOI 10.1007/BF01094084. - Cited References: 73
. - 25. - ISSN 0165-0009
РУБ Environmental Sciences + Meteorology & Atmospheric Sciences
Аннотация: A modified Budyko global vegetation model is used to predict changes in global vegetation patterns resulting from climate change (CO2 doubling). Vegetation patterns are predicted using a model based on a dryness index and potential evaporation determined by solving radiation balance equations. Climate change scenarios are derived from predictions from four General Circulation Models (GCM's) of the atmosphere (GFDL, GISS, OSU, and UKMO). Global vegetation maps after climate change are compared to the current climate vegetation map using the kappa statistic for judging agreement, as well as by calculating area statistics. All four GCM scenarios show similar trends in vegetation shifts and in areas that remain stable, although the UKMO scenario predicts greater warming than the others. Climate change maps produced by all four GCM scenarios show good agreement with the current climate vegetation map for the globe as a whole, although over half of the vegetation classes show only poor to fair agreement. The most stable areas are Desert and Ice/Polar Desert. Because most of the predicted warming is concentrated in the Boreal and Temperate zones, vegetation there is predicted to undergo the greatest change. Specifically, all Boreal vegetation classes are predicted to shrink. The interrelated classes of Tundra, Taiga, and Temperate Forest are predicted to replace much of their poleward mostly northern) neighbors. Most vegetation classes in the Subtropics and Tropics are predicted to expand. Any shift in the Tropics favoring either Forest over Savanna, or vice versa, will be determined by the magnitude of the increased precipitation accompanying global warming. Although the model predicts equilibrium conditions to which many plant species cannot adjust (through migration or microevolution) in the 50-100 y needed for CO2 doubling, it is nevertheless not clear if projected global warming will result in drastic or benign vegetation change.
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Scopus
Держатели документа:
RUSSIAN ACAD SCI,INST FOREST,KRASNOYARSK 660036,RUSSIA
NATL INST PUBL HLTH & ENVIRONM PROTECT,DEPT GLOBAL CHANGE,3720 BA BILTHOVEN,NETHERLANDS
Доп.точки доступа:
MONSERUD, R.A.; TCHEBAKOVA, N.M.; LEEMANS, R...
Аннотация: A modified Budyko global vegetation model is used to predict changes in global vegetation patterns resulting from climate change (CO2 doubling). Vegetation patterns are predicted using a model based on a dryness index and potential evaporation determined by solving radiation balance equations. Climate change scenarios are derived from predictions from four General Circulation Models (GCM's) of the atmosphere (GFDL, GISS, OSU, and UKMO). Global vegetation maps after climate change are compared to the current climate vegetation map using the kappa statistic for judging agreement, as well as by calculating area statistics. All four GCM scenarios show similar trends in vegetation shifts and in areas that remain stable, although the UKMO scenario predicts greater warming than the others. Climate change maps produced by all four GCM scenarios show good agreement with the current climate vegetation map for the globe as a whole, although over half of the vegetation classes show only poor to fair agreement. The most stable areas are Desert and Ice/Polar Desert. Because most of the predicted warming is concentrated in the Boreal and Temperate zones, vegetation there is predicted to undergo the greatest change. Specifically, all Boreal vegetation classes are predicted to shrink. The interrelated classes of Tundra, Taiga, and Temperate Forest are predicted to replace much of their poleward mostly northern) neighbors. Most vegetation classes in the Subtropics and Tropics are predicted to expand. Any shift in the Tropics favoring either Forest over Savanna, or vice versa, will be determined by the magnitude of the increased precipitation accompanying global warming. Although the model predicts equilibrium conditions to which many plant species cannot adjust (through migration or microevolution) in the 50-100 y needed for CO2 doubling, it is nevertheless not clear if projected global warming will result in drastic or benign vegetation change.
Полный текст,
WOS,
Scopus
Держатели документа:
RUSSIAN ACAD SCI,INST FOREST,KRASNOYARSK 660036,RUSSIA
NATL INST PUBL HLTH & ENVIRONM PROTECT,DEPT GLOBAL CHANGE,3720 BA BILTHOVEN,NETHERLANDS
Доп.точки доступа:
MONSERUD, R.A.; TCHEBAKOVA, N.M.; LEEMANS, R...
Change in Siberian phytomass predicted for global warming
/ R. A. Monserud [et al.] // Silva Fennica. - 1996. - Vol. 30, Is. 2-3. - P185-200
. - ISSN 0037-5330
Кл.слова (ненормированные):
Bioclimatology -- Carbon cycle -- Climate change -- Global warming -- Phytomass -- Siberia -- Vegetation modeling -- biomass -- carbon dioxide -- climate change -- climatic change -- GCM -- general circulation model -- global warming -- phytomass -- taiga -- Russian Federation, Siberia
Аннотация: An equilibrium model driven by climatic parameters, the Siberian Vegetation Model, was used to estimate changes in the phytomass of Siberian vegetation under climate change scenarios (CO2 doubling) from four general circulation models (GCM's) of the atmosphere. Ecosystems were classified using a three-dimensional climatic ordination of growing degree days (above a 5В°C threshold), Budyko's dryness index (based on radiation balance and annual precipitation), and Conrad's continentality index. Phytomass density was estimated using published data of Bazilevich covering all vegetation zones in Siberia. Under current climate, total phytomass of Siberia is estimated to be 74.1 В± 2.0 Pg (Petagram = 1015 g). Note that this estimate is based on the current forested percentage in each vegetation class compiled from forest inventory data. Moderate warming associated with the GISS (Goddard Institute for Space Studies) and OSU (Oregon State Univ.) projections resulted in a 23-26 % increase in phytomass (to 91.3 В± 2.1 Pg and 93.6 В± 2.4 Pg, respectively), primarily due to an increase in the productive Southern Taiga and Subtaiga classes. Greater warming associated with the GFDL (General Fluid Dynamics Laboratory) and UKMO (United Kingdom Meteorological Office) projections resulted in a small 3-7 % increase in phytomass (to 76.6 В± 1.3 Pg and 79.6 В± 1.2 Pg, respectively). A major component of predicted changes using GFDL and UKMO is the introduction of a vast Temperate Forest-Steppe class covering nearly 40 % of the area of Siberia, at the expense of Taiga; with current climate, this vegetation class is nearly non-existent in Siberia. In addition, Subboreal Forest-Steppe phytomass doubles with all GCM predictions. In all four climate change scenarios, the predicted phytomass stock of all colder, northern classes is reduced considerably (viz., Tundra, Forest-Tundra, Northern Taiga, and Middle Taiga). Phytomass in Subtaiga increases greatly with all scenarios, from a doubling with GFDL to quadrupling with OSU and GISS. Overall, phytomass of the Taiga biome (Northern, Middle, Southern, and Subtaiga) increased 15 % in the moderate OSU and GISS scenarios and decreased by a third in the warmer UKMO and GFDL projections. In addition, a sensitivity analysis found that the percentage of a vegetation class that is forested is a major factor determining phytomass distribution. From 25 to 50 % more phytomass is predicted under climate change if the forested proportion corresponding to potential rather than current vegetation is assumed.
Scopus
Держатели документа:
Intermountain Research Station, USDA Forest Service, 1221 S. Main St., Moscow, ID 83843, United States
Forest Institute, Russian Academy of Sciences, Akademgorodok, 660036 Krasnoyarsk, Russian Federation
Department of Civil Engineering, Oregon State University, Corvallis, OR 97333, United States
Department of Geography, Moscow State University, 119899 Moscow, Russian Federation
Доп.точки доступа:
Monserud, R.A.; Tchebakova, N.M.; Kolchugina, T.P.; Denissenko, O.V.
Кл.слова (ненормированные):
Bioclimatology -- Carbon cycle -- Climate change -- Global warming -- Phytomass -- Siberia -- Vegetation modeling -- biomass -- carbon dioxide -- climate change -- climatic change -- GCM -- general circulation model -- global warming -- phytomass -- taiga -- Russian Federation, Siberia
Аннотация: An equilibrium model driven by climatic parameters, the Siberian Vegetation Model, was used to estimate changes in the phytomass of Siberian vegetation under climate change scenarios (CO2 doubling) from four general circulation models (GCM's) of the atmosphere. Ecosystems were classified using a three-dimensional climatic ordination of growing degree days (above a 5В°C threshold), Budyko's dryness index (based on radiation balance and annual precipitation), and Conrad's continentality index. Phytomass density was estimated using published data of Bazilevich covering all vegetation zones in Siberia. Under current climate, total phytomass of Siberia is estimated to be 74.1 В± 2.0 Pg (Petagram = 1015 g). Note that this estimate is based on the current forested percentage in each vegetation class compiled from forest inventory data. Moderate warming associated with the GISS (Goddard Institute for Space Studies) and OSU (Oregon State Univ.) projections resulted in a 23-26 % increase in phytomass (to 91.3 В± 2.1 Pg and 93.6 В± 2.4 Pg, respectively), primarily due to an increase in the productive Southern Taiga and Subtaiga classes. Greater warming associated with the GFDL (General Fluid Dynamics Laboratory) and UKMO (United Kingdom Meteorological Office) projections resulted in a small 3-7 % increase in phytomass (to 76.6 В± 1.3 Pg and 79.6 В± 1.2 Pg, respectively). A major component of predicted changes using GFDL and UKMO is the introduction of a vast Temperate Forest-Steppe class covering nearly 40 % of the area of Siberia, at the expense of Taiga; with current climate, this vegetation class is nearly non-existent in Siberia. In addition, Subboreal Forest-Steppe phytomass doubles with all GCM predictions. In all four climate change scenarios, the predicted phytomass stock of all colder, northern classes is reduced considerably (viz., Tundra, Forest-Tundra, Northern Taiga, and Middle Taiga). Phytomass in Subtaiga increases greatly with all scenarios, from a doubling with GFDL to quadrupling with OSU and GISS. Overall, phytomass of the Taiga biome (Northern, Middle, Southern, and Subtaiga) increased 15 % in the moderate OSU and GISS scenarios and decreased by a third in the warmer UKMO and GFDL projections. In addition, a sensitivity analysis found that the percentage of a vegetation class that is forested is a major factor determining phytomass distribution. From 25 to 50 % more phytomass is predicted under climate change if the forested proportion corresponding to potential rather than current vegetation is assumed.
Scopus
Держатели документа:
Intermountain Research Station, USDA Forest Service, 1221 S. Main St., Moscow, ID 83843, United States
Forest Institute, Russian Academy of Sciences, Akademgorodok, 660036 Krasnoyarsk, Russian Federation
Department of Civil Engineering, Oregon State University, Corvallis, OR 97333, United States
Department of Geography, Moscow State University, 119899 Moscow, Russian Federation
Доп.точки доступа:
Monserud, R.A.; Tchebakova, N.M.; Kolchugina, T.P.; Denissenko, O.V.
Soil contribution to carbon budget of russian forests
/ L. Mukhortova [et al.] // Agric. For. Meterol. - 2015. - Vol. 200. - P97-108, DOI 10.1016/j.agrformet.2014.09.017
. - ISSN 0168-1923
Аннотация: The flux of CO2 from the soil to the atmosphere-soil respiration (RS), is one of the least known components of the terrestrial carbon cycle. RS depends on many factors and varies substantially in time and space. High uncertainty of RS flux valuation leads to a wide range of reported carbon budget estimates for Russian forests. We developed a modeling system for assessing soil carbon stock and heterotrophic soil respiration based on a possible maximum of relevant input indicators. The most comprehensive databases of RS in situ measurements focused on Northern Eurasia (780 records for the region) has been used. A statistical model for assessing RS of Russian forests and its separation in autotrophic and heterotrophic parts were elaborated based on in situ measurements, climate parameters, soil and land cover datasets. The spatial resolution of the model is 1km2. Russian forest soil accumulated 144.5PgC (or 17.6kgCm-2) in 1m depth, including 8.3PgC (or 1.0kgCm-2) in the labile topsoil organic layer. The total heterotrophic soil respiration (RH) flux for the Russian forest is estimated at 1.7PgCyr-1 (206gCm-2yr-1) that comprises 65% of Net Primary Production (NPP) and together with NPP is one of two major components of the net ecosystem carbon balance comprising on average 546TgCyr-1 (66gCm-2yr-1) for 2007-2009. Interannual variability or RH in 1996-2005 was estimated at 4.1% for forests of the whole country and typically from 5 to 11% for large individual regions with an average linear trend +0.2% per year. The uncertainty of annual average of RH was estimated at 8% (confidential interval 0.9).
Scopus,
Полный текст,
WOS
Держатели документа:
V.N. Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Science, Academgorodok 50(28)Krasnoyarsk, Russian Federation
International Institute for Applied Systems AnalysisLaxenburg, Austria
Moscow State Forest UniversityMoscow Reg., Mytischi, Russian Federation
Доп.точки доступа:
Mukhortova, L.; Schepaschenko, D.; Shvidenko, A.; McCallum, I.; Kraxner, F.
Аннотация: The flux of CO2 from the soil to the atmosphere-soil respiration (RS), is one of the least known components of the terrestrial carbon cycle. RS depends on many factors and varies substantially in time and space. High uncertainty of RS flux valuation leads to a wide range of reported carbon budget estimates for Russian forests. We developed a modeling system for assessing soil carbon stock and heterotrophic soil respiration based on a possible maximum of relevant input indicators. The most comprehensive databases of RS in situ measurements focused on Northern Eurasia (780 records for the region) has been used. A statistical model for assessing RS of Russian forests and its separation in autotrophic and heterotrophic parts were elaborated based on in situ measurements, climate parameters, soil and land cover datasets. The spatial resolution of the model is 1km2. Russian forest soil accumulated 144.5PgC (or 17.6kgCm-2) in 1m depth, including 8.3PgC (or 1.0kgCm-2) in the labile topsoil organic layer. The total heterotrophic soil respiration (RH) flux for the Russian forest is estimated at 1.7PgCyr-1 (206gCm-2yr-1) that comprises 65% of Net Primary Production (NPP) and together with NPP is one of two major components of the net ecosystem carbon balance comprising on average 546TgCyr-1 (66gCm-2yr-1) for 2007-2009. Interannual variability or RH in 1996-2005 was estimated at 4.1% for forests of the whole country and typically from 5 to 11% for large individual regions with an average linear trend +0.2% per year. The uncertainty of annual average of RH was estimated at 8% (confidential interval 0.9).
Scopus,
Полный текст,
WOS
Держатели документа:
V.N. Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Science, Academgorodok 50(28)Krasnoyarsk, Russian Federation
International Institute for Applied Systems AnalysisLaxenburg, Austria
Moscow State Forest UniversityMoscow Reg., Mytischi, Russian Federation
Доп.точки доступа:
Mukhortova, L.; Schepaschenko, D.; Shvidenko, A.; McCallum, I.; Kraxner, F.
Fluvial carbon dioxide emission from the Lena River basin during the spring flood
/ S. N. Vorobyev, J. Karlsson, Y. Y. Kolesnichenko [et al.] // Biogeosciences. - 2021. - Vol. 18, Is. 17. - P4919-4936, DOI 10.5194/bg-18-4919-2021. - Cited References:104. - This research has been supported by the Government Council on Grants, Russian Federation (grant no. 14.B25.31.0001) and the Forsvarsdepartementet, Sveriges (grant no. 2016-05275).
. - ISSN 1726-4170. - ISSN 1726-4189
РУБ Ecology + Geosciences, Multidisciplinary
Аннотация: Greenhouse gas (GHG) emission from inland waters of permafrost-affected regions is one of the key factors of circumpolar aquatic ecosystem response to climate warming and permafrost thaw. Riverine systems of central and eastern Siberia contribute a significant part of the water and carbon (C) export to the Arctic Ocean, yet their C exchange with the atmosphere remains poorly known due to lack of in situ GHG concentration and emission estimates. Here we present the results of continuous in situ pCO(2) measurements over a 2600 km transect of the Lena River main stem and lower reaches of 20 major tributaries (together representing a watershed area of 1 661 000 km(2), 66% of the Lena's basin), conducted at the peak of the spring flood. The pCO(2) in the Lena (range 400-1400 mu atm) and tributaries (range 400-1600 mu atm) remained generally stable (within ca. 20 %) over the night-day period and across the river channels. The pCO(2) in tributaries increased northward with mean annual temperature decrease and permafrost increase; this change was positively correlated with C stock in soil, the proportion of deciduous needleleaf forest, and the riparian vegetation. Based on gas transfer coefficients obtained from rivers of the Siberian permafrost zone (k = 4.46md(-1)), we calculated CO2 emission for the main stem and tributaries. Typical fluxes ranged from 1 to 2 gCm(-2) d(-1) ( 99% CO2, 1% CH4), which is comparable with CO2 emission measured in the Kolyma, Yukon, and Mackenzie rivers and permafrost-affected rivers in western Siberia. The areal C emissions from lotic waters of the Lena watershed were quantified by taking into account the total area of permanent and seasonal water of the Lena basin (28 000 km(2)). Assuming 6 months of the year to be an open water period with no emission under ice, the annual C emission from the whole Lena basin is estimated as 8.3 +/- 2.5 TgCyr(-1), which is comparable to the DOC and dissolved inorganic carbon (DIC) lateral export to the Arctic Ocean.
WOS
Держатели документа:
Tomsk State Univ, BIO GEO CLIM Lab, Tomsk, Russia.
Umea Univ, Climate Impacts Res Ctr CIRC, Dept Ecol & Environm Sci, Linnaeus Vag 6, S-90187 Umea, Sweden.
Russian Acad Sci, Siberian Branch, VN Sukachev Inst Forest, KSC SB RAS, Krasnoyarsk 660036, Russia.
CNRS, UMR 5563, Geosci & Environm Toulouse, 14 Ave Edouard Belin, F-31400 Toulouse, France.
Russian Acad Sci, N Laverov Fed Ctr Integrated Arctic Res, Arkhangelsk, Russia.
Доп.точки доступа:
Vorobyev, Sergey N.; Karlsson, Jan; Kolesnichenko, Yuri Y.; Korets, Mikhail A.; Pokrovsky, Oleg S.; Government Council on Grants, Russian Federation [14.B25.31.0001]; Forsvarsdepartementet, Sveriges [2016-05275]
Аннотация: Greenhouse gas (GHG) emission from inland waters of permafrost-affected regions is one of the key factors of circumpolar aquatic ecosystem response to climate warming and permafrost thaw. Riverine systems of central and eastern Siberia contribute a significant part of the water and carbon (C) export to the Arctic Ocean, yet their C exchange with the atmosphere remains poorly known due to lack of in situ GHG concentration and emission estimates. Here we present the results of continuous in situ pCO(2) measurements over a 2600 km transect of the Lena River main stem and lower reaches of 20 major tributaries (together representing a watershed area of 1 661 000 km(2), 66% of the Lena's basin), conducted at the peak of the spring flood. The pCO(2) in the Lena (range 400-1400 mu atm) and tributaries (range 400-1600 mu atm) remained generally stable (within ca. 20 %) over the night-day period and across the river channels. The pCO(2) in tributaries increased northward with mean annual temperature decrease and permafrost increase; this change was positively correlated with C stock in soil, the proportion of deciduous needleleaf forest, and the riparian vegetation. Based on gas transfer coefficients obtained from rivers of the Siberian permafrost zone (k = 4.46md(-1)), we calculated CO2 emission for the main stem and tributaries. Typical fluxes ranged from 1 to 2 gCm(-2) d(-1) ( 99% CO2, 1% CH4), which is comparable with CO2 emission measured in the Kolyma, Yukon, and Mackenzie rivers and permafrost-affected rivers in western Siberia. The areal C emissions from lotic waters of the Lena watershed were quantified by taking into account the total area of permanent and seasonal water of the Lena basin (28 000 km(2)). Assuming 6 months of the year to be an open water period with no emission under ice, the annual C emission from the whole Lena basin is estimated as 8.3 +/- 2.5 TgCyr(-1), which is comparable to the DOC and dissolved inorganic carbon (DIC) lateral export to the Arctic Ocean.
WOS
Держатели документа:
Tomsk State Univ, BIO GEO CLIM Lab, Tomsk, Russia.
Umea Univ, Climate Impacts Res Ctr CIRC, Dept Ecol & Environm Sci, Linnaeus Vag 6, S-90187 Umea, Sweden.
Russian Acad Sci, Siberian Branch, VN Sukachev Inst Forest, KSC SB RAS, Krasnoyarsk 660036, Russia.
CNRS, UMR 5563, Geosci & Environm Toulouse, 14 Ave Edouard Belin, F-31400 Toulouse, France.
Russian Acad Sci, N Laverov Fed Ctr Integrated Arctic Res, Arkhangelsk, Russia.
Доп.точки доступа:
Vorobyev, Sergey N.; Karlsson, Jan; Kolesnichenko, Yuri Y.; Korets, Mikhail A.; Pokrovsky, Oleg S.; Government Council on Grants, Russian Federation [14.B25.31.0001]; Forsvarsdepartementet, Sveriges [2016-05275]