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hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorRINGEVAL, Bruno
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorNESME, Thomas
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorAUGUSTO, Laurent
hal.structure.identifierUniversiteit Utrecht / Utrecht University [Utrecht]
dc.contributor.authorVAN APELDOORN, Dirk
dc.contributor.authorYANG, Xiaojuan
hal.structure.identifierLaboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] [LSCE]
dc.contributor.authorGUENET, Bertrand
hal.structure.identifierCentre national de recherches météorologiques [CNRM]
dc.contributor.authorDECHARME, Bertrand
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorPELLERIN, Sylvain
dc.date.accessioned2024-04-08T11:59:30Z
dc.date.available2024-04-08T11:59:30Z
dc.date.issued2014
dc.date.conference2014-09-01
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/195996
dc.description.abstractEnThe global distribution of phosphorus (P) in agricultural soils is heterogeneous and this heterogeneity results from variability in both virgin soil properties and past agricultural practices. A current picture of this distribution is required to identify the deficit (surplus) areas with negative effect on productivity (respectively environment). However, such a picture is missing due to limitations in soil P measurement techniques and in modeling approaches. Here, we built a simple soil P dynamic model and combined it with global spatially explicit (0.5°lat x 0.5°lon) datasets to reconstruct the temporal evolution of P in agricultural soils from the cultivation starting up to the current time period. Global datasets provided information about land-use, agricultural soil P input/output and current soil P in unmanaged soil. This latter information was used to approach the initial conditions of agricultural soils, i.e. at the time of conversion from non-agricultural to agricultural land. The design of the soil P dynamic model was chosen to be consistent with Hedley fractionation method, on which some available global datasets are based. Maps of current soil P distribution were simulated and evaluated against a database compiling Hedley measurements on cropland and pasture sites from the literature. Our modeling approach allowed to assess the drivers of the current P soil distribution, and through sensitivity tests, to identify the main sources of uncertainty. It is the foundation for assessing how the agricultural soil P would evolve under different future scenarios of P resource management in context of increasing scarcity.
dc.language.isoen
dc.title.enCurrent distribution of phosphorus in agricultural soils at global scale
dc.typeCommunication dans un congrès
dc.subject.halSciences du Vivant [q-bio]/Sciences agricoles
dc.subject.halSciences de l'environnement/Milieux et Changements globaux
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.conference.title4th Sustainable phosphorus summit
bordeaux.countryFR
bordeaux.conference.cityMontpellier
bordeaux.peerReviewedoui
hal.identifierhal-02740346
hal.version1
hal.invitednon
hal.conference.organizerCentre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD). FRA.
hal.conference.end2014-09-03
hal.popularnon
hal.audienceNationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02740346v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2014&rft.au=RINGEVAL,%20Bruno&NESME,%20Thomas&AUGUSTO,%20Laurent&VAN%20APELDOORN,%20Dirk&YANG,%20Xiaojuan&rft.genre=unknown


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