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Soil organic carbon dynamics of croplands in European Russia: estimates from the “model of humus balance”
Authors:V A Romanenkov  J U Smith  P Smith  O D Sirotenko  D I Rukhovitch  I A Romanenko
Institution:(1) Pryanishnikov All-Russian Institute of Agrochemistry (VNIIA), Pryanishnikova st., 31a, 127550 Moscow, Russia;(2) School of Biological Sciences, University of Aberdeen, Cruickshank Building, St Machar Drive, Aberdeen, AB24 3UU, UK;(3) All-Russian Institute of Agricultural Meteorology, Lenina st., 82, Obninsk, Kaluga Region, 249020, Russia;(4) Dokuchaev Soil Science Institute, Pyzhevsky Per., 7, 109017 Moscow, Russia;(5) All-Russian Institute of Agricultural Problems and Informatics, Kharitonievsky per., 21/6 Bld.1, 103064 Moscow, Russia
Abstract:The Model of Humus Balance was used to estimate the influence of climate effects and changing agricultural practices on carbon (C) levels in soddy–podzolic soils in the Russian Federation for the years 2000–2050. The model was linked with a spatial database containing soil, climate and farming management layers for identification of spatial change of C sequestration potential. Analysis of relationships between C, soil texture and climate indicated that compared with a business-as-usual scenario, adaptation measures could increase the number of polygons storing soil organic carbon (SOC) by 2010–2020. The rate of possible C loss is sensitive to the different climate scenarios, with a maximum potential for SOC accumulation expected in 2030–2040, thereafter decreasing to 2050. The effect is most pronounced for the arid part of the study area under the emission scenario with the highest rate of increase in atmospheric CO2 concentration, supporting findings from the dynamic SOC model, RothC. C sequestration during the study period was permanent for clay and clay loam soils with a C content of more than 2%, suggesting that C sequestration should be focused on highly fertile, fine-textured soils. We also show that spatial heterogeneity of soil texture can be a source of uncertainty for estimates of SOC dynamics at the regional scale. Figures in color are available at
Keywords:Organic carbon  Soil  Estimation  Model  Adaptation  Climate change  Crop rotations
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