Modelling and Prediction of Organic Carbon Dynamics in Arable Soils Based on a 62-Year Field Experiment in the Voronezh Region, European Russia
Organic carbon (OC) accumulation in soil mitigates greenhouse gases emission and improves soil health. We aimed to quantify the dynamics of OC stock in soils and to justify technologies that allow annual increasing OC stock in the arable soil layer by 4‰. We based the study on a field experiment est...
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MDPI AG
2020-10-01
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Online Access: | https://www.mdpi.com/2073-4395/10/10/1607 |
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author | Ilshat Husniev Vladimir Romanenkov Olga Minakova Pavel Krasilnikov |
author_facet | Ilshat Husniev Vladimir Romanenkov Olga Minakova Pavel Krasilnikov |
author_sort | Ilshat Husniev |
collection | DOAJ |
description | Organic carbon (OC) accumulation in soil mitigates greenhouse gases emission and improves soil health. We aimed to quantify the dynamics of OC stock in soils and to justify technologies that allow annual increasing OC stock in the arable soil layer by 4‰. We based the study on a field experiment established in 1936 in the 9-field crop rotation with a fallow on Chernozem in European Russia. The RothC version 26.3 was used for the reproducing and forecasting OC dynamics. In all fertilizer applications at FYM background, there was a decrease in the OC stock with preferable loss of active OC, except the period 1964–1971 with 2–5‰ annual OC increase. The model estimated the annual C input necessary to maintain OC stock as 1900 kg·ha<sup>−1</sup>. For increasing OC stocks by 4‰ per year, one should raise input to 2400 kg·ha<sup>−1</sup>. The simulation was made for 2016–2090 using climate scenarios RCP4.5 and RCP8.5. Crop rotation without fallowing provided an initial increase of 3‰ and 6‰ of stocks in the RCP8.5 and RCP4.5 scenarios accordingly, followed by a loss in accumulated OC. Simulation demonstrates difficulties to increase OC concentration in Chernozems under intensive farming and potential capacity to rise OC stock through yield management. |
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language | English |
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spelling | doaj.art-4a9617d18d7c4fab87975ed68c6e3bd72023-11-20T17:48:59ZengMDPI AGAgronomy2073-43952020-10-011010160710.3390/agronomy10101607Modelling and Prediction of Organic Carbon Dynamics in Arable Soils Based on a 62-Year Field Experiment in the Voronezh Region, European RussiaIlshat Husniev0Vladimir Romanenkov1Olga Minakova2Pavel Krasilnikov3Faculty of Soil Science, Lomonosov Moscow State University, 119991 Moscow, RussiaFaculty of Soil Science, Lomonosov Moscow State University, 119991 Moscow, RussiaAll-Russian Research Institute for Sugar and Sugar Beet, 396030 Ramon, Voronezh Region, RussiaFaculty of Soil Science, Lomonosov Moscow State University, 119991 Moscow, RussiaOrganic carbon (OC) accumulation in soil mitigates greenhouse gases emission and improves soil health. We aimed to quantify the dynamics of OC stock in soils and to justify technologies that allow annual increasing OC stock in the arable soil layer by 4‰. We based the study on a field experiment established in 1936 in the 9-field crop rotation with a fallow on Chernozem in European Russia. The RothC version 26.3 was used for the reproducing and forecasting OC dynamics. In all fertilizer applications at FYM background, there was a decrease in the OC stock with preferable loss of active OC, except the period 1964–1971 with 2–5‰ annual OC increase. The model estimated the annual C input necessary to maintain OC stock as 1900 kg·ha<sup>−1</sup>. For increasing OC stocks by 4‰ per year, one should raise input to 2400 kg·ha<sup>−1</sup>. The simulation was made for 2016–2090 using climate scenarios RCP4.5 and RCP8.5. Crop rotation without fallowing provided an initial increase of 3‰ and 6‰ of stocks in the RCP8.5 and RCP4.5 scenarios accordingly, followed by a loss in accumulated OC. Simulation demonstrates difficulties to increase OC concentration in Chernozems under intensive farming and potential capacity to rise OC stock through yield management.https://www.mdpi.com/2073-4395/10/10/1607soil healthsoil organic mattergreenhouse gasesclimatic change scenariosChernozemslong-term experiment |
spellingShingle | Ilshat Husniev Vladimir Romanenkov Olga Minakova Pavel Krasilnikov Modelling and Prediction of Organic Carbon Dynamics in Arable Soils Based on a 62-Year Field Experiment in the Voronezh Region, European Russia Agronomy soil health soil organic matter greenhouse gases climatic change scenarios Chernozems long-term experiment |
title | Modelling and Prediction of Organic Carbon Dynamics in Arable Soils Based on a 62-Year Field Experiment in the Voronezh Region, European Russia |
title_full | Modelling and Prediction of Organic Carbon Dynamics in Arable Soils Based on a 62-Year Field Experiment in the Voronezh Region, European Russia |
title_fullStr | Modelling and Prediction of Organic Carbon Dynamics in Arable Soils Based on a 62-Year Field Experiment in the Voronezh Region, European Russia |
title_full_unstemmed | Modelling and Prediction of Organic Carbon Dynamics in Arable Soils Based on a 62-Year Field Experiment in the Voronezh Region, European Russia |
title_short | Modelling and Prediction of Organic Carbon Dynamics in Arable Soils Based on a 62-Year Field Experiment in the Voronezh Region, European Russia |
title_sort | modelling and prediction of organic carbon dynamics in arable soils based on a 62 year field experiment in the voronezh region european russia |
topic | soil health soil organic matter greenhouse gases climatic change scenarios Chernozems long-term experiment |
url | https://www.mdpi.com/2073-4395/10/10/1607 |
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