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The conifer-curve: fast prediction of hydraulic conductivity loss and vulnerability to cavitation

hal.structure.identifierInstitute of Botany
dc.contributor.authorROSNER, Sabine
hal.structure.identifierWarnell School of Forestry and Natural Resources
dc.contributor.authorJOHNSON, Daniel M.
hal.structure.identifierInstitute of Botany
dc.contributor.authorVOGGENEDER, Klara
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
hal.structure.identifierNicholas School of the Environment
dc.contributor.authorDOMEC, Jean-Christophe
dc.date.accessioned2024-04-08T11:53:34Z
dc.date.available2024-04-08T11:53:34Z
dc.date.issued2019
dc.identifier.issn1286-4560
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/195542
dc.description.abstractEnAbstract Key messageThe relationship between relative water loss (RWL) and hydraulic conductivity loss (PLC) in sapwood is robust across conifer species. We provide an empirical model (conifer-curve) for predicting PLC from simple RWL measurements. The approach is regarded as a new relevant phenotyping tool for drought sensitivity and offers reliable and fast prediction of diurnal, seasonal, or drought-induced changes in PLC. ContextFor conifer species drought is one of the main climate risks related to loss of hydraulic capacity in sapwood inducing dieback or mortality. More frequently occurring drought waves call for fast and easily applicable methods to predict drought sensitivity. AimsWe aimed at developing a fast and reliable method for determination of the percent loss of hydraulic conductivity (PLC) and eventually the drought sensitivity trait P50, i.e., the water potential that causes 50% conductivity loss. MethodsWe measured the loss of water transport capacity, defined as the relative water loss (RWL) together with PLC in trunk wood, branches, and saplings of eight different conifer species. Air injection was used to induce specific water potentials. ResultsThe relationship between RWL and PLC was robust across species, organs, and age classes. The equation established allows fast prediction of PLC from simple gravimetrical measurements and thus post hoc calculation of P50 (r2 = 0.94). ConclusionThe approach is regarded as a relevant new phenotyping tool. Future potential applications are screening conifers for drought sensitivity and a fast interpretation of diurnal, seasonal, or drought-induced changes in xylem water content upon their impact on conductivity loss.
dc.language.isoen
dc.publisherSpringer Nature (since 2011)/EDP Science (until 2010)
dc.subject.enConifers
dc.subject.enDrought stress
dc.subject.enHydraulic capacitance
dc.subject.enPhenotyping
dc.subject.enVulnerability to cavitation
dc.title.enThe conifer-curve: fast prediction of hydraulic conductivity loss and vulnerability to cavitation
dc.typeArticle de revue
dc.identifier.doi10.1007/s13595-019-0868-1
dc.subject.halSciences du Vivant [q-bio]
dc.subject.halSciences de l'environnement
bordeaux.journalAnnals of Forest Science
bordeaux.page82
bordeaux.volume76
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.issue3
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-02620675
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02620675v1
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