P. V. Koroleva

TL;DR: In this paper, the authors used the Rothamsted Carbon Model to estimate how cropland mineral soil carbon stocks are likely to change under future climate, and how agricultural management might influence these stocks in the future.

TL;DR: In this article, three soil carbon models (RothC, CANDY and the Model of Humus Balance) were used to estimate the impacts of climate change on agricultural mineral soil carbon stocks in European Russia and the Ukraine using detailed spatial data on land-use, future land use, cropping patterns, agricultural management, climate and soil type.

TL;DR: In this article, satellite-based emissions from cropland burning were estimated for the Russian Federation for years 2003 through 2009 using three satellite fire products, the 1.km MODIS Active Fire Product, 0.5° MODIS Fire Radiative Power monthly climate modeling grid product, and the 500 m MODIS Burned Area Product, and a agricultural statistics approach based on a modified method developed and published by the All-Russian Institute of Organic Peat and Fertilizers to estimate farm and regional-level residue loading from straw surplus left after grain harvesting, while accounting for agricultural

TL;DR: In this article, a GIS of croplands for European Russia was constructed to allow the RothC and CANDY models, and a statistical model of humus balance, to estimate how soil carbon stocks change in time.

TL;DR: A large set of thematic maps on the territory of the former Soviet Union and Russia are available as hardcopies as mentioned in this paper, and their digitization clearly shows various merits and demerits of these maps.