Modelling the impacts of different carbon sources on the soil organic carbon stock and CO2 emissions in the Foggia province (Southern Italy)

Modelling the impacts of different carbon sources on the soil organic carbon stock and CO2... The effects of systematic compost addition or cover cropping throughout the agricultural land of the Foggia province (Southern Italy) on the soil organic carbon (SOC) stocks and the CO2-C emissions were predicted over a period of 20years (1994–2013).Therefore, the bio-physical model RothC10N was used in combination with spatially explicit input data including soil types, soil textures, land use and climate. Actual crop successions and crop types on a grid with a resolution of 30-arc sec (1km at the equator) were included in the input data.Compost application and cover cropping were not adopted as a general input to all soils and land use classes, but according to applicability in the particular cropping systems, therefore representing a realistic input scenario under given soil use practices in the area.The results of the modelling process were spatialized with regression kriging, using soil maps, land use maps and satellite images as co-variates.While the control scenario led to a SOC depletion of 0.81 Tg and a total CO2-C emission of 21.1 Tg over 20years in the Foggia province, systematic compost addition could reduce the loss of SOC to 0.56 Tg C while slightly increasing CO2-C emissions to 21.6 of Tg C. Cover cropping led to an overall SOC accumulation of 0.61 Tg and cumulated CO2-C emissions of 24.6 of Tg. Cover cropping therefore represents the most promising tool for carbon sequestration in the Foggia province. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Agricultural Systems Elsevier

Modelling the impacts of different carbon sources on the soil organic carbon stock and CO2 emissions in the Foggia province (Southern Italy)

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Publisher
Elsevier
Copyright
Copyright © 2017 Elsevier Ltd
ISSN
0308-521x
D.O.I.
10.1016/j.agsy.2017.07.017
Publisher site
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Abstract

The effects of systematic compost addition or cover cropping throughout the agricultural land of the Foggia province (Southern Italy) on the soil organic carbon (SOC) stocks and the CO2-C emissions were predicted over a period of 20years (1994–2013).Therefore, the bio-physical model RothC10N was used in combination with spatially explicit input data including soil types, soil textures, land use and climate. Actual crop successions and crop types on a grid with a resolution of 30-arc sec (1km at the equator) were included in the input data.Compost application and cover cropping were not adopted as a general input to all soils and land use classes, but according to applicability in the particular cropping systems, therefore representing a realistic input scenario under given soil use practices in the area.The results of the modelling process were spatialized with regression kriging, using soil maps, land use maps and satellite images as co-variates.While the control scenario led to a SOC depletion of 0.81 Tg and a total CO2-C emission of 21.1 Tg over 20years in the Foggia province, systematic compost addition could reduce the loss of SOC to 0.56 Tg C while slightly increasing CO2-C emissions to 21.6 of Tg C. Cover cropping led to an overall SOC accumulation of 0.61 Tg and cumulated CO2-C emissions of 24.6 of Tg. Cover cropping therefore represents the most promising tool for carbon sequestration in the Foggia province.

Journal

Agricultural SystemsElsevier

Published: Oct 1, 2017

References

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