Suitability of operational N direct field emissions models to represent contrasting agricultural situations in agricultural LCA: Review and prospectus
N biogeochemical flows and associated N losses exceed currently planetary boundaries and represent a major threat for sustainability. Measuring N losses is a resource-intensive endeavour, and not suitable for ex-ante assessments, thus modelling is a common approach for estimating N losses associated with agricultural scenarios (systems, practices, situations). The aim of this study is to review some of the N models commonly used for estimating direct field emissions of agricultural systems, and to assess their suitability to systems featuring contrasted agricultural and pedoclimatic conditions. Simple N models were chosen based on their frequent use in LCA, including ecoinvent v3, Indigo-N v1/v2, AGRIBALYSE v1.2/v1.3, and the Mineral fertiliser equivalents (MFE) calculator. Model sets were contrasted, among them and with the dynamic crop model STICS, regarding their consideration of the biophysical processes determining N losses to the environment from agriculture, namely plant uptake, nitrification, denitrification, NH3 volatilisation, NO3 leaching, erosion and run-off, and N2O emission to air; using four reference agricultural datasets. Models' consideration of management drivers such as crop rotations and the allocation of fertilisers and emissions among crops in a crop rotation, over-fertilisation and fertilisation technique, were also contrasted, as well as their management of the mineralisation of soil organic matter and organic fertilisers, and of drainage regimes.
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Subjects: | cycle de l'azote, impact sur l'environnement, analyse du cycle de vie, modélisation des cultures, vinasse, http://aims.fao.org/aos/agrovoc/c_27938, http://aims.fao.org/aos/agrovoc/c_24420, http://aims.fao.org/aos/agrovoc/c_9000105, http://aims.fao.org/aos/agrovoc/c_9000024, http://aims.fao.org/aos/agrovoc/c_27624, http://aims.fao.org/aos/agrovoc/c_6970, http://aims.fao.org/aos/agrovoc/c_3081, |
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dig-cirad-fr-6039612024-12-18T21:16:23Z http://agritrop.cirad.fr/603961/ http://agritrop.cirad.fr/603961/ Suitability of operational N direct field emissions models to represent contrasting agricultural situations in agricultural LCA: Review and prospectus. Avadi Tapia Angel Daniel, Galland Victor, Versini Antoine, Bockstaller Christian. 2022. Science of the Total Environment, 802:149960, 16 p.https://doi.org/10.1016/j.scitotenv.2021.149960 <https://doi.org/10.1016/j.scitotenv.2021.149960> Suitability of operational N direct field emissions models to represent contrasting agricultural situations in agricultural LCA: Review and prospectus Avadi Tapia, Angel Daniel Galland, Victor Versini, Antoine Bockstaller, Christian eng 2022 Elsevier Science of the Total Environment cycle de l'azote impact sur l'environnement analyse du cycle de vie modélisation des cultures vinasse http://aims.fao.org/aos/agrovoc/c_27938 http://aims.fao.org/aos/agrovoc/c_24420 http://aims.fao.org/aos/agrovoc/c_9000105 http://aims.fao.org/aos/agrovoc/c_9000024 http://aims.fao.org/aos/agrovoc/c_27624 Sénégal France http://aims.fao.org/aos/agrovoc/c_6970 http://aims.fao.org/aos/agrovoc/c_3081 N biogeochemical flows and associated N losses exceed currently planetary boundaries and represent a major threat for sustainability. Measuring N losses is a resource-intensive endeavour, and not suitable for ex-ante assessments, thus modelling is a common approach for estimating N losses associated with agricultural scenarios (systems, practices, situations). The aim of this study is to review some of the N models commonly used for estimating direct field emissions of agricultural systems, and to assess their suitability to systems featuring contrasted agricultural and pedoclimatic conditions. Simple N models were chosen based on their frequent use in LCA, including ecoinvent v3, Indigo-N v1/v2, AGRIBALYSE v1.2/v1.3, and the Mineral fertiliser equivalents (MFE) calculator. Model sets were contrasted, among them and with the dynamic crop model STICS, regarding their consideration of the biophysical processes determining N losses to the environment from agriculture, namely plant uptake, nitrification, denitrification, NH3 volatilisation, NO3 leaching, erosion and run-off, and N2O emission to air; using four reference agricultural datasets. Models' consideration of management drivers such as crop rotations and the allocation of fertilisers and emissions among crops in a crop rotation, over-fertilisation and fertilisation technique, were also contrasted, as well as their management of the mineralisation of soil organic matter and organic fertilisers, and of drainage regimes. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/acceptedVersion http://agritrop.cirad.fr/603961/7/603961.pdf text cc_by info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ https://doi.org/10.1016/j.scitotenv.2021.149960 10.1016/j.scitotenv.2021.149960 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.scitotenv.2021.149960 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1016/j.scitotenv.2021.149960 info:eu-repo/grantAgreement/////(FRA) AGRIBALYSE/ |
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cycle de l'azote impact sur l'environnement analyse du cycle de vie modélisation des cultures vinasse http://aims.fao.org/aos/agrovoc/c_27938 http://aims.fao.org/aos/agrovoc/c_24420 http://aims.fao.org/aos/agrovoc/c_9000105 http://aims.fao.org/aos/agrovoc/c_9000024 http://aims.fao.org/aos/agrovoc/c_27624 http://aims.fao.org/aos/agrovoc/c_6970 http://aims.fao.org/aos/agrovoc/c_3081 cycle de l'azote impact sur l'environnement analyse du cycle de vie modélisation des cultures vinasse http://aims.fao.org/aos/agrovoc/c_27938 http://aims.fao.org/aos/agrovoc/c_24420 http://aims.fao.org/aos/agrovoc/c_9000105 http://aims.fao.org/aos/agrovoc/c_9000024 http://aims.fao.org/aos/agrovoc/c_27624 http://aims.fao.org/aos/agrovoc/c_6970 http://aims.fao.org/aos/agrovoc/c_3081 |
spellingShingle |
cycle de l'azote impact sur l'environnement analyse du cycle de vie modélisation des cultures vinasse http://aims.fao.org/aos/agrovoc/c_27938 http://aims.fao.org/aos/agrovoc/c_24420 http://aims.fao.org/aos/agrovoc/c_9000105 http://aims.fao.org/aos/agrovoc/c_9000024 http://aims.fao.org/aos/agrovoc/c_27624 http://aims.fao.org/aos/agrovoc/c_6970 http://aims.fao.org/aos/agrovoc/c_3081 cycle de l'azote impact sur l'environnement analyse du cycle de vie modélisation des cultures vinasse http://aims.fao.org/aos/agrovoc/c_27938 http://aims.fao.org/aos/agrovoc/c_24420 http://aims.fao.org/aos/agrovoc/c_9000105 http://aims.fao.org/aos/agrovoc/c_9000024 http://aims.fao.org/aos/agrovoc/c_27624 http://aims.fao.org/aos/agrovoc/c_6970 http://aims.fao.org/aos/agrovoc/c_3081 Avadi Tapia, Angel Daniel Galland, Victor Versini, Antoine Bockstaller, Christian Suitability of operational N direct field emissions models to represent contrasting agricultural situations in agricultural LCA: Review and prospectus |
description |
N biogeochemical flows and associated N losses exceed currently planetary boundaries and represent a major threat for sustainability. Measuring N losses is a resource-intensive endeavour, and not suitable for ex-ante assessments, thus modelling is a common approach for estimating N losses associated with agricultural scenarios (systems, practices, situations). The aim of this study is to review some of the N models commonly used for estimating direct field emissions of agricultural systems, and to assess their suitability to systems featuring contrasted agricultural and pedoclimatic conditions. Simple N models were chosen based on their frequent use in LCA, including ecoinvent v3, Indigo-N v1/v2, AGRIBALYSE v1.2/v1.3, and the Mineral fertiliser equivalents (MFE) calculator. Model sets were contrasted, among them and with the dynamic crop model STICS, regarding their consideration of the biophysical processes determining N losses to the environment from agriculture, namely plant uptake, nitrification, denitrification, NH3 volatilisation, NO3 leaching, erosion and run-off, and N2O emission to air; using four reference agricultural datasets. Models' consideration of management drivers such as crop rotations and the allocation of fertilisers and emissions among crops in a crop rotation, over-fertilisation and fertilisation technique, were also contrasted, as well as their management of the mineralisation of soil organic matter and organic fertilisers, and of drainage regimes. |
format |
article |
topic_facet |
cycle de l'azote impact sur l'environnement analyse du cycle de vie modélisation des cultures vinasse http://aims.fao.org/aos/agrovoc/c_27938 http://aims.fao.org/aos/agrovoc/c_24420 http://aims.fao.org/aos/agrovoc/c_9000105 http://aims.fao.org/aos/agrovoc/c_9000024 http://aims.fao.org/aos/agrovoc/c_27624 http://aims.fao.org/aos/agrovoc/c_6970 http://aims.fao.org/aos/agrovoc/c_3081 |
author |
Avadi Tapia, Angel Daniel Galland, Victor Versini, Antoine Bockstaller, Christian |
author_facet |
Avadi Tapia, Angel Daniel Galland, Victor Versini, Antoine Bockstaller, Christian |
author_sort |
Avadi Tapia, Angel Daniel |
title |
Suitability of operational N direct field emissions models to represent contrasting agricultural situations in agricultural LCA: Review and prospectus |
title_short |
Suitability of operational N direct field emissions models to represent contrasting agricultural situations in agricultural LCA: Review and prospectus |
title_full |
Suitability of operational N direct field emissions models to represent contrasting agricultural situations in agricultural LCA: Review and prospectus |
title_fullStr |
Suitability of operational N direct field emissions models to represent contrasting agricultural situations in agricultural LCA: Review and prospectus |
title_full_unstemmed |
Suitability of operational N direct field emissions models to represent contrasting agricultural situations in agricultural LCA: Review and prospectus |
title_sort |
suitability of operational n direct field emissions models to represent contrasting agricultural situations in agricultural lca: review and prospectus |
publisher |
Elsevier |
url |
http://agritrop.cirad.fr/603961/ http://agritrop.cirad.fr/603961/7/603961.pdf |
work_keys_str_mv |
AT avaditapiaangeldaniel suitabilityofoperationalndirectfieldemissionsmodelstorepresentcontrastingagriculturalsituationsinagriculturallcareviewandprospectus AT gallandvictor suitabilityofoperationalndirectfieldemissionsmodelstorepresentcontrastingagriculturalsituationsinagriculturallcareviewandprospectus AT versiniantoine suitabilityofoperationalndirectfieldemissionsmodelstorepresentcontrastingagriculturalsituationsinagriculturallcareviewandprospectus AT bockstallerchristian suitabilityofoperationalndirectfieldemissionsmodelstorepresentcontrastingagriculturalsituationsinagriculturallcareviewandprospectus |
_version_ |
1819044781211254784 |