Prediction of soil organic carbon stock in conditions of Eastern Slovak Lowland
2010
Barančíková, G., Soil Science and Conservation Research Institute, Bratislava (Slovak Republic) | Šoltýsová, B., Plant Production Research Center, Piešťany (Slovak Republic) | Koco, Š., Soil Science and Conservation Research Institute, Bratislava (Slovak Republic)
Soil organic carbon (SOC) influences many productive and ecological soil functions. Rapid changes in land use and land management and climate changes affect SOC stock. Promising method in estimation of SOC changes is modelling and one of the most used models for prediction of changes in soil organic carbon stock on agricultural land is RothC model. As a consequence its simplicity and availability of input data, RothC was used for testing of efficiency to predict development of SOC stock in agricultural conditions on Eastern Slovak Lowland region. RothC 26.3 was validated on two experimental fields in time period 29 years. Receiving data show that this model is suitable for SOC stock modelling in Eastern Slovak Lowland agricultural conditions. After successful validation RothC model was used to predict soil organic carbon stock during next 100 years. Prediction of SOC stock was done on the basis two different climate (A – higher grow up, B – lower grow up of temperature) and management scenarios (optimal carbon input, low carbon input). Current level of soil organic carbon stock is able to keep only at using of optimal management scenario and climate scenario B, which assumed lower grow up of temperature. Results obtaining at low management scenario and climate scenario A show rapid decreasing of soil organic carbon stock in near future.
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