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Explaining and mapping total phosphorus content in French topsoils

hal.structure.identifierInfoSol [InfoSol]
dc.contributor.authorDELMAS, Magalie
hal.structure.identifierInfoSol [InfoSol]
dc.contributor.authorSABY, Nicolas
hal.structure.identifierInfoSol [InfoSol]
dc.contributor.authorARROUAYS, Dominique
hal.structure.identifierSol Agro et hydrosystème Spatialisation [SAS]
dc.contributor.authorDUPAS, Rémi
hal.structure.identifierSol Agro et hydrosystème Spatialisation [SAS]
dc.contributor.authorLEMERCIER, Blandine
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorPELLERIN, Sylvain
hal.structure.identifierSol Agro et hydrosystème Spatialisation [SAS]
dc.contributor.authorGASCUEL, Chantal
dc.date.accessioned2024-04-08T12:12:13Z
dc.date.available2024-04-08T12:12:13Z
dc.date.issued2015
dc.identifier.issn0266-0032
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/196743
dc.description.abstractEnTotal phosphorus (TP) build-up in agricultural soils represents both a threat to aquatic ecosystems and a valuable resource for future crop production, given the context of increasing food demand combined with the rapid depletion of the world's phosphate reserves. Therefore, it is crucially important (i) to identify the main factors controlling topsoil TP and (ii) to develop methods for mapping its spatial distribution. Multiple linear regression models were used with two distinct approaches to calculate TP and covariates linked to the P cycle. Firstly, covariates were selected from the Réseau de Mesures de la Qualité des Sols database, the French soil monitoring network, which consists of soil samples collected from 2158 sites on a 16-km regular grid. Secondly, covariates were selected to map TP from spatially exhaustive datasets in France. The first approach explains 80% of variability in topsoil TP. The variables selected are linked to the autochthonous origin of P (parent material), to allochthonous origin (organic carbon and nitrogen contents) and to the retention capacity of soil (Al, Fe, Ca and clay contents). The predicted map obtained from the second approach provides a mean TP of 0.76 g/kg. This study demonstrates that creating national scale maps of TP, based on detailed soil sampling and many variables, is feasible and can be used to model the P cycle and P transfer processes. Such maps can be used in P erosion and transfer models over river basins, and therefore to predict P exports to surface waters.
dc.language.isoen
dc.publisherWiley
dc.subject.entotal phosphorus
dc.subject.enmapping
dc.subject.enspatial analysis
dc.subject.enmultiple linear regression model
dc.subject.encontrolling factors
dc.title.enExplaining and mapping total phosphorus content in French topsoils
dc.typeArticle de revue
dc.identifier.doi10.1111/sum.12192
dc.subject.halSciences du Vivant [q-bio]
bordeaux.journalSoil Use and Management
bordeaux.page259-269
bordeaux.volume31
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-01209277
hal.version1
hal.popularnon
hal.audienceNon spécifiée
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01209277v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Soil%20Use%20and%20Management&rft.date=2015&rft.volume=31&rft.spage=259-269&rft.epage=259-269&rft.eissn=0266-0032&rft.issn=0266-0032&rft.au=DELMAS,%20Magalie&SABY,%20Nicolas&ARROUAYS,%20Dominique&DUPAS,%20R%C3%A9mi&LEMERCIER,%20Blandine&rft.genre=article


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