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hal.structure.identifierÉcologie fonctionnelle et physique de l'environnement [EPHYSE]
hal.structure.identifierSchool of GeoSciences
hal.structure.identifierDepartment of Plant Sciences
dc.contributor.authorWINGATE, Lisa
hal.structure.identifierÉcologie fonctionnelle et physique de l'environnement [EPHYSE]
dc.contributor.authorOGÉE, Jérôme
hal.structure.identifierBiodiversité, Gènes & Communautés [BioGeCo]
dc.contributor.authorBURLETT, Régis
hal.structure.identifierÉcologie fonctionnelle et physique de l'environnement [EPHYSE]
dc.contributor.authorBOSC, Alexandre
hal.structure.identifierÉcologie fonctionnelle et physique de l'environnement [EPHYSE]
dc.contributor.authorDEVAUX, Marion
hal.structure.identifierUniversity of Edinburgh [Edin.]
dc.contributor.authorGRACE, John
hal.structure.identifierÉcologie fonctionnelle et physique de l'environnement [EPHYSE]
dc.contributor.authorLOUSTAU, Denis
hal.structure.identifierInstitut für Landschaftsstoffdynamik
dc.contributor.authorGESSLER, Arthur
dc.date.issued2010
dc.identifier.issn0028-646X
dc.description.abstractEnPhotosynthetic carbon (C) isotope discrimination (ΔΑ) labels photosynthates (δA) and atmospheric CO2 (δa) with variable C isotope compositions during fluctuating environmental conditions. In this context, the C isotope composition of respired CO2 within ecosystems is often hypothesized to vary temporally with ΔΑ. We investigated the relationship between ΔΑ and the C isotope signals from stem (δW), soil (δS) and ecosystem (δE) respired CO2 to environmental fluctuations, using novel tuneable diode laser absorption spectrometer instrumentation in a mature maritime pine forest. Broad seasonal changes in ΔΑ were reflected in δW,δS and δE. However, respired CO2 signals had smaller short-term variations than ΔA and were offset and delayed by 2–10 d, indicating fractionation and isotopic mixing in a large C pool. Variations in δS did not follow ΔA at all times, especially during rainy periods and when there is a strong demand for C allocation above ground. It is likely that future isotope-enabled vegetation models will need to develop transfer functions that can account for these phenomena in order to interpret and predict the isotopic impact of biosphere gas exchange on the C isotope composition of atmospheric CO2.
dc.language.isoen
dc.publisherWiley
dc.title.enPhotosynthetic carbon isotope discrimination and its relationship to the carbon isotope signals of stem, soil and ecosystem respiration
dc.typeArticle de revue
dc.identifier.doi10.1111/j.1469-8137.2010.03384.x
dc.subject.halSciences du Vivant [q-bio]/Biologie végétale/Phytopathologie et phytopharmacie
bordeaux.journalNew Phytologist
bordeaux.page576-589
bordeaux.volume188
bordeaux.issue2
bordeaux.peerReviewedoui
hal.identifierhal-02666929
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02666929v1
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