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  • Оценка запасов почвенного углерода лесных районов России с использованием баз данных почвенных характеристик
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News
May 20, 2026
HSE University Opens First Representative Office of Satellite Laboratory in Brazil
HSE University-St Petersburg opened a representative office of the Satellite Laboratory on Social Entrepreneurship at the University of Campinas in Brazil. The platform is going to unite research and educational projects in the spheres of sustainable development, communications and social innovations.
May 18, 2026
The 'Second Shift' Is Not Why Women Avoid News
Women are more likely than men to avoid political and economic news, but the reasons for this behaviour are linked less to structural inequality or family-related stress than to personal attitudes and the emotional perception of news content. This conclusion was reached by HSE researchers after analysing data from a large-scale survey of more than 10,000 residents across 61 regions of Russia. The study findings have been published in Woman in Russian Society.
May 15, 2026
Preserving Rationality in a Period of Turbulence
The HSE International Laboratory for Logic, Linguistics and Formal Philosophy studies logic and rationality in a transformed world characterised by a diversity of logical systems and rational agents. The laboratory supports and develops academic ties with Russian and international partners. The HSE News Service spoke with the head of the laboratory, Prof. Elena Dragalina-Chernaya, about its work.

 

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Оценка запасов почвенного углерода лесных районов России с использованием баз данных почвенных характеристик

Лесоведение. 2022. № 3. С. 227–238.
Честных О. В., Грабовский В. И., Zamolodchikov D.

Study relevance and objectives. Soil is one of the key pools of carbon in terrestrial ecosystems. According to recent data, the soil carbon pool of forest ecosystems may be significantly underestimated. In this regard, obtaining data on the forest soils carbon reliably interpolated on geographic areal contours is of particular interest. In this paper, the available data on soil carbon stocks are aggregated by forest regions – officially approved ecological-administrative spatial units. Forest regions served as a topological basis for the sample data extrapolation to the entire territory of the corresponding region and forest lands in general. The immediate task of this work is the interpolation of data from soil profiles by layers of the soil stratum in forest regions. Study objects and methods. The basis for calculating the carbon stocks in the forest and tundra soils of Russia was a database that combines information on soil sections gathered from 300 literary sources. To determine the spatial differentiation of the average values, all the sections present in the database were distributed among different forest regions according to their coordinates. For each section, a forest region was determined, and based on the description of a section, a biotope. A total of 1405 soil sections were selected containing all the data necessary for analysis: coordinates, calculated data on the carbon content at various soil levels, and data on the biotope in which the section was made. Study results. The regression analysis of the correlation between soils’ carbon stocks and biotopes, as well as the forest regions confirmed the adequacy of the selected cartographic basis for interpolation, which confirmed the validity of the choice of the topological basis for soil data interpolation. The total and average reserves of soil carbon were obtained for an area of 1368 × 106 ha of forest regions of Russia. Conclusions. The total Csoil stock for the territory of Russia within the layers 0–30 cm, 0– 50 cm, and 0–100 cm is estimated at 128.4 × 109 t C, 166.5 × 109 and 215.8 × 109 t C. For the layer 0–100 cm, the average reserves are 162 ± 23 t C ha–1, with estimates being mean values ±SE (standard error). Maps of the carbon stocks distribution for the forest regions of Russia have been obtained in relation to different depths of the sections.

Research target: Earth Sciences
Language: Russian
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Keywords: база данныхdatabaseRussia’s forest resourcesforest forming speciesstock of soil biological carbonземли лесного фонда Россиилесообразующие породылесные почвызапасы почвенного биологического углерода
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