Академическое издательство «Гео»

Soil organic carbon, spatial empirical-statistical modeling, mapping, permafrost soils, topography, climate

copy the whole article (543 Kb)

«Earth`s Cryosphere», 2016, Vol. XX, № 3, p. 32-40

Methodology for spatial modeling of soil organic carbon stocks in the north of European Russia

A.V. Pastukhov

Institute of Biology, Komi Science Centre UB RAS,
28, Kommunisticheskaya str., Syktyvkar, 167982, Russia; alpast@mail.ru

The paper provides accurate assessment of the spatial inhomogeneity of soil organic carbon (SOC) stocks in the permafrost-affected soils of the European Northeast, using mean values (standards based on samples) of SOC stocks for each of the soil taxa and other georeferenced factors. A very high correlation was observed between soil organic carbon stocks and environmental factors (combined soil taxa, mesotopography, climatic characteristics), which suggests that SOC stocks tend to be directly controlled by them. It has been demonstrated that, in conjunction with soil taxa, the absolute height, and the amount of precipitation in June and July play the most important role in SOC stocks dynamics, whereas the terrain dissection appears a less significant characteristic. When calculated using reference values, the amount of SOC stocks averaged 32.0 kg•m–2 for the region, while with such additional factors as climate and topography, the SOC stocks were estimated at 21.6 kg•m–2. This model served as a basis for creation of the SOC stock map at a regional scale.

Soil organic carbon, spatial empirical-statistical modeling, mapping, permafrost soils, topography, climate
главная

www.izdatgeo.ru