The complex interactions that soil, weather conditions and cropping system management practices have on carbon dioxide and nitrous oxide emissions from arable lands can be evaluated using process-based dynamic simulations models. Continuous field measures of CO2 and N2O soil fluxes were employed to calibrate and evaluate ARMOSA cropping system model for two cropping systems in a pilot farm located in northern Italy (Ravenna). After parameters calibration, the model was able to satisfactorily capture crop and soil related variables, as well as CO2 (average RRMSE 15.1% for bare soil periods) and N2O (average RRMSE 30.0%) cumulative emissions obtained on the base of soil use. Overall, ARMOSA model adequately simulated emissions trends over time, taking into account weather conditions, tillage events, mineral N application (type and depth), crop residue type and management (removal, soil incorporation or mulching).

Simulating soil greenhouse gases emissions with the ARMOSA model: calibration with continuous field measures of CO2 and N2O soil fluxes from the AGRESTIC Project / M. Gabbrielli, M. Botta, M. Perfetto, I. Volpi, D. Guidotti, C. Tozzini, P. Meriggi, A. Perego, M. Acutis, G. Ragaglini - In: MetroAgriFor : Metrology for Agriculture and Forestry[s.l] : Institute of Electrical and Electronics Engineers (IEEE), 2024 Feb 12. - ISBN 9798350312720. - pp. 216-221 (( Intervento presentato al 6. convegno IEEE International Workshop : 6 through 8 November tenutosi a Pisa nel 2023 [10.1109/metroagrifor58484.2023.10424150].

Simulating soil greenhouse gases emissions with the ARMOSA model: calibration with continuous field measures of CO2 and N2O soil fluxes from the AGRESTIC Project

M. Gabbrielli
Primo
Writing – Original Draft Preparation
;
M. Botta
Secondo
;
M. Perfetto;A. Perego;M. Acutis
Penultimo
;
G. Ragaglini
Ultimo
Supervision
2024

Abstract

The complex interactions that soil, weather conditions and cropping system management practices have on carbon dioxide and nitrous oxide emissions from arable lands can be evaluated using process-based dynamic simulations models. Continuous field measures of CO2 and N2O soil fluxes were employed to calibrate and evaluate ARMOSA cropping system model for two cropping systems in a pilot farm located in northern Italy (Ravenna). After parameters calibration, the model was able to satisfactorily capture crop and soil related variables, as well as CO2 (average RRMSE 15.1% for bare soil periods) and N2O (average RRMSE 30.0%) cumulative emissions obtained on the base of soil use. Overall, ARMOSA model adequately simulated emissions trends over time, taking into account weather conditions, tillage events, mineral N application (type and depth), crop residue type and management (removal, soil incorporation or mulching).
No
English
cropping-system model; denitrification; nitrification; soil GHG flux; soil organic matter; soil respiration;
Settore AGRI-02/A - Agronomia e coltivazioni erbacee
Intervento a convegno
Esperti anonimi
Pubblicazione scientifica
   Reduction of Agricultural GReenhouse gases EmiSsions Through Innovative Cropping systems (LIFE AGRESTIC)
   LIFE AGRESTIC
   EUROPEAN COMMISSION
   LIFE17 CCM/IT/000062
MetroAgriFor : Metrology for Agriculture and Forestry
Institute of Electrical and Electronics Engineers (IEEE)
12-feb-2024
216
221
6
9798350312720
Volume a diffusione internazionale
No
IEEE International Workshop : 6 through 8 November
Pisa
2023
6
Institute of Electrical and Electronics Engineers (IEEE)
Convegno internazionale
crossref
Aderisco
M. Gabbrielli, M. Botta, M. Perfetto, I. Volpi, D. Guidotti, C. Tozzini, P. Meriggi, A. Perego, M. Acutis, G. Ragaglini
Book Part (author)
reserved
273
Simulating soil greenhouse gases emissions with the ARMOSA model: calibration with continuous field measures of CO2 and N2O soil fluxes from the AGRESTIC Project / M. Gabbrielli, M. Botta, M. Perfetto, I. Volpi, D. Guidotti, C. Tozzini, P. Meriggi, A. Perego, M. Acutis, G. Ragaglini - In: MetroAgriFor : Metrology for Agriculture and Forestry[s.l] : Institute of Electrical and Electronics Engineers (IEEE), 2024 Feb 12. - ISBN 9798350312720. - pp. 216-221 (( Intervento presentato al 6. convegno IEEE International Workshop : 6 through 8 November tenutosi a Pisa nel 2023 [10.1109/metroagrifor58484.2023.10424150].
info:eu-repo/semantics/bookPart
10
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1121718
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