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Towards a statistically robust determination of minimum water potential and hydraulic risk in plants

hal.structure.identifierCREAF - Centre for Ecological Research and Applied Forestries
dc.contributor.authorMARTÍNEZ‐VILALTA, Jordi
hal.structure.identifierUniversity of California [UC]
dc.contributor.authorSANTIAGO, Louis
hal.structure.identifierCREAF - Centre for Ecological Research and Applied Forestries
dc.contributor.authorPOYATOS, Rafael
hal.structure.identifierUniversitat Autònoma de Barcelona = Autonomous University of Barcelona = Universidad Autónoma de Barcelona [UAB]
dc.contributor.authorBADIELLA, Llorenç
hal.structure.identifierCREAF - Centre for Ecological Research and Applied Forestries
dc.contributor.authorCÁCERES, Miquel
hal.structure.identifierCentro de Investigacion Forestal [INIA-CIFOR]
dc.contributor.authorARANDA, Ismael
hal.structure.identifierBiodiversité, Gènes & Communautés [BioGeCo]
dc.contributor.authorDELZON, Sylvain
hal.structure.identifierFoundation CEAM
dc.contributor.authorVILAGROSA, Alberto
hal.structure.identifierCREAF - Centre for Ecological Research and Applied Forestries
dc.contributor.authorMENCUCCINI, Maurizio
dc.date.issued2021-07-16
dc.identifier.issn0028-646X
dc.description.abstractEnMinimum water potential (Ψ min) is a key variable for characterizing dehydration tolerance and hydraulic safety margins (HSMs) in plants. Ψ min is usually estimated as the absolute minimum tissue Ψ experienced by a species, but this is problematic because sample extremes are affected by sample size and the underlying probability distribution. We compare alternative approaches to estimate Ψ min and assess the corresponding uncertainties and biases; propose statistically robust estimation methods based on extreme value theory (EVT); and assess the implications of our results for the characterization of hydraulic risk. Our results show that current estimates of Ψ min and HSMs are biased, as they are strongly affected by sample size. Because sampling effort is generally higher for species living in dry environments, the differences in current Ψ min estimates between these species and those living under milder conditions are partly artefactual. When this bias is corrected using EVT methods, resulting HSMs tend to increase substantially with resistance to embolism across species. Although data availability and representativeness remain the main challenges for proper determination of Ψ min , a closer look at Ψ distributions and the use of statistically robust methods to estimate Ψ min opens new ground for characterizing plant hydraulic risks.
dc.language.isoen
dc.publisherWiley
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/
dc.subject.endrought resistance
dc.subject.endrought tolerance
dc.subject.enextreme values
dc.subject.enhydraulic risk
dc.subject.enhydraulic safety margin
dc.subject.enminimum water potential
dc.subject.enphysiological limits
dc.title.enTowards a statistically robust determination of minimum water potential and hydraulic risk in plants
dc.typeArticle de revue
dc.identifier.doi10.1111/nph.17571
dc.subject.halSciences de l'environnement
bordeaux.journalNew Phytologist
bordeaux.page404 - 417
bordeaux.volume232
bordeaux.issue1
bordeaux.peerReviewedoui
hal.identifierhal-03610717
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03610717v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=New%20Phytologist&rft.date=2021-07-16&rft.volume=232&rft.issue=1&rft.spage=404%20-%20417&rft.epage=404%20-%20417&rft.eissn=0028-646X&rft.issn=0028-646X&rft.au=MART%C3%8DNEZ%E2%80%90VILALTA,%20Jordi&SANTIAGO,%20Louis&POYATOS,%20Rafael&BADIELLA,%20Lloren%C3%A7&C%C3%81CERES,%20Miquel&rft.genre=article


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