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

/ R. A. Monserud [et al.] // Silva Fennica. - 1996. - Vol. 30, Is. 2-3. - P185-200 . - ISSN 0037-5330
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.

/ S.-B. Park, A. Knohl, M. Migliavacca [et al.] // Atmosphere. - 2021. - Vol. 12, Is. 8. - Ст. 984, DOI 10.3390/atmos12080984 . - ISSN 2073-4433
Аннотация: Climate change impacts the characteristics of the vegetation carbon-uptake process in the northern Eurasian terrestrial ecosystem. However, the currently available direct CO2 flux measurement datasets, particularly for central Siberia, are insufficient for understanding the current condition in the northern Eurasian carbon cycle. Here, we report daily and seasonal interannual variations in CO2 fluxes and associated abiotic factors measured using eddy covariance in a coniferous forest and a bog near Zotino, Krasnoyarsk Krai, Russia, for April to early June, 2013–2017. Despite the snow not being completely melted, both ecosystems became weak net CO2 sinks if the air temperature was warm enough for photosynthesis. The forest became a net CO2 sink 7–16 days earlier than the bog. After the surface soil temperature exceeded ~1?C, the ecosystems became persistent net CO2 sinks. To change into the full spring photosynthesis recovery, the forest is likely to need a minimum accumulated air temperature of ~80 to 137?C, and the bog requires 141 to 211?C. During these periods, soil temperature in the forest still remained nearly 0?C, suggesting that it is likely that forests appear more sensitive to the rise of air temperature than bogs. Net ecosystem productivity was highest in 2015 for both ecosystems because of the anomalously high air temperature in May compared with other years. Our findings demonstrate that long-term monitoring of flux measurements at the site level, particularly during winter and its transition to spring, is essential for understanding the responses of the northern Eurasian ecosystem to spring warming. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Scopus

Держатели документа:
Max Planck Institute for Biogeochemistry, Jena, D07745, Germany
Bioclimatology, Faculty of Forest Science and Forest Ecology, University of Gottingen, Gottingen, 37077, Germany
Centre of Biodiversity and Sustainable Land Use (CBL), University of Gottingen, Gottingen, 37073, Germany
Institute for Atmospheric and Earth System Research (INAR)/Physics, Faculty of Sciences, University of Helsinki, P.O. Box 64, Helsinki, 00014, Finland
Institute for Atmospheric and Earth System Research (INAR)/Forest Sciences, Faculty of Agriculture and Forestry, University of Helsinki, Viikinkaari 1, Helsinki, 00014, Finland
Yugra State University, Khanty-Mansiysk, 628012, Russian Federation
Climate Research Programme, Finnish Meteorological Institute, P.O. Box 503, Helsinki, 00101, Finland
Vladimir Nikolayevich Sukachev Institute of Forest of the Siberian Branch of Russian Academy of Sciences, Separated Department of the KSC SB RAS, Krasnoyarsk, 660036, Russian Federation
School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, South Korea

Доп.точки доступа:
Park, S. -B.; Knohl, A.; Migliavacca, M.; Thum, T.; Vesala, T.; Peltola, O.; Mammarella, I.; Prokushkin, A.; Kolle, O.; Lavric, J.; Park, S. S.; Heimann, M.