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Uncertainty functions of modelled soil organic carbon changes in response to crop management derived from a French long term experiments dataset

hal.structure.identifierInfoSol [InfoSol]
dc.contributor.authorDIMASSI, Bassem
hal.structure.identifierLaboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] [LSCE]
dc.contributor.authorGUENET, Bertrand
hal.structure.identifierAgroressources et Impacts environnementaux [AgroImpact]
dc.contributor.authorMARY, Bruno
hal.structure.identifierARVALIS - Institut du végétal [Paris]
dc.contributor.authorTROCHARD, Robert
hal.structure.identifierARVALIS - Institut du végétal [Paris]
dc.contributor.authorBOUTHIER, Alain
hal.structure.identifierAgrotransfert
dc.contributor.authorDUPARQUE, Annie
hal.structure.identifierLaboratoire Départemental d'Analyses et de Recherche [LDAR]
dc.contributor.authorSAGOT, Stéphanie
hal.structure.identifierEcologie fonctionnelle et écotoxicologie des agroécosystèmes [ECOSYS]
dc.contributor.authorHOUOT, Sabine
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorMOREL, Christian
hal.structure.identifierInfoSol [InfoSol]
dc.contributor.authorMARTIN, Manuel
dc.date.accessioned2024-04-08T11:59:00Z
dc.date.available2024-04-08T11:59:00Z
dc.date.issued2016
dc.date.conference2016-04-17
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/195967
dc.description.abstractEnThe land use, land-use change and forestry (LULUCF) activities and crop management (CM) in Europe could be an important carbon sink through soil organic carbon (SOC) sequestration. Recently, the (EU decision 529/2013) requires European Union's member states to assess modalities to include greenhouse gas (GHG) emissions and removals resulting from activities relating to LULUCF and CM into the Union's (GHG) emissions reduction commitment and their national inventories reports (NIR). Tier 1, the commonly used method to estimate emissions for NIR, provides a framework for measuring SOC stocks changes. However, estimations have high uncertainty, especially in response to crop management at regional and specific national contexts. Understanding and quantifying this uncertainty with accurate confidence interval is crucial for reliably reporting and support decision-making and policies that aims to mitigate greenhouse gases through soil C storage. Here, we used the Tier 3 method, consisting of process-based modelling, to address the issue of uncertainty quantification at national scale in France. Specifically, we used 20 Long-term croplands experiments (LTE) in France with more than 100 treatments taking into account different agricultural practices such as tillage, organic amendment, inorganic fertilization, cover crops, etc. These LTE were carefully selected because they are well characterized with periodic SOC stocks monitoring overtime and covered a wide range of pedo-climatic conditions. We applied linear mixed effect model to statistically model, as a function of soil, climate and cropping system characteristics, the uncertainty resulting from applying this Tier 3 approach. The model was fitted on the dataset yielded by comparing the simulated (with the Century model V 4.5) to the observed SOC changes on the LTE at hand. This mixed effect model will then be used to derive uncertainty related to the simulation of SOC stocks changes of the French Soil Monitoring Network (FSMN) where only one measurement is done in 16 Km regular grid. These simulations on the grid will be in turn used for NIR. Preliminary results suggest that the model do not adequately simulate SOC stocks levels but succeeds at capturing SOC changes due to management, despite the fact that the model does not explicitly simulate some management such as tillage. This is probably due to inappropriate model parametrization especially for crops and thus Cinput in the French context and/or model initialization.
dc.language.isoen
dc.source.titleGeophysical Research Abstracts
dc.subjectcarbone organique du sol
dc.subjectamendement organique
dc.subjectsuivi de cultures
dc.subjectfertilisation minérale
dc.subjectlabour
dc.subject.enorganic amendments
dc.subject.enmineral fertilization
dc.subject.entilling
dc.title.enUncertainty functions of modelled soil organic carbon changes in response to crop management derived from a French long term experiments dataset
dc.typeCommunication dans un congrès
dc.subject.halSciences du Vivant [q-bio]
bordeaux.pagenp
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.conference.titleEGU General Assembly 2016
bordeaux.countryAT
bordeaux.title.proceedingGeophysical Research Abstracts
bordeaux.conference.cityVienne
bordeaux.peerReviewednon
hal.identifierhal-01594802
hal.version1
hal.invitednon
hal.proceedingsoui
hal.conference.organizerEuropean Geosciences Union (EGU). AUT.
hal.conference.end2016-04-22
hal.popularnon
hal.audienceNon spécifiée
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01594802v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=Geophysical%20Research%20Abstracts&rft.date=2016&rft.spage=np&rft.epage=np&rft.au=DIMASSI,%20Bassem&GUENET,%20Bertrand&MARY,%20Bruno&TROCHARD,%20Robert&BOUTHIER,%20Alain&rft.genre=unknown


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