Abstract
Soil carbon pool in the block of the European-Ural part of Russia was assessed on a topological basis of lands categories adopted in State Forest Inventory (21 biotopes in total). The published data on 675 soil profiles were linked to biotopes and forest regions through coordinates and descriptions of profiles (13). The total carbon stock in the soils in forest regions of the European-Ural part were 19.3*109 t C for a depth of 0–30 cm, 26.6*109 t C for a depth of 0–50 cm, and 34.2*109 t C for a depth of 0–100 cm. Forest area in the European part of Russia for these forest regions is estimated at 181.13*106 ha. Aggregated data are presented both for biotopes of the entire region and for forest regions. We compared the results obtained on top basis of dominant tree species and non-forest lands with the estimates of other authors obtained for various soil types.
Highlights
Soil carbon pool in the block of the European-Ural part of Russia was assessed on a topological basis of lands categories adopted in State Forest Inventory (21 biotopes in total)
For the 0–100 cm layer for the dominant tree species, for example, for pine and spruce, we registered an increase in the mean values of the Csoil stock from the tundra to the northern taiga, with a decrease in all more southern regions and an increase in average carbon stocks in the North Caucasus and South Ural districts
The estimation of soil carbon stocks in the territory of the European-Ural part of Russia is made using the topologies adopted in the classification of categories of forest cover lands in the State Forest Inventory (SFI)
Summary
Soil carbon pool in the block of the European-Ural part of Russia was assessed on a topological basis of lands categories adopted in State Forest Inventory (21 biotopes in total). The first consists in the choice of the topographic basis used to obtain the values for the areas with certain contours, which presumably contain regularly homogeneous soil carbon stock. Carbon budget in forest ecosystems is estimated based on the allocation of biotic units (elements and types of vegetation cover) Including soils in this calculation system is challenging because soil and land cover maps do not always match. Regional soil carbon stock data, aggregated by land cover type, would greatly facilitate this task
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