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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Main Authors: Ilshat Husniev, Vladimir Romanenkov, Olga Minakova, Pavel Krasilnikov
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Agronomy
Subjects:
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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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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