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

© 2021 The Authors. New Phytologist © 2021 New Phytologist Foundation.

Bibliographische Detailangaben
Veröffentlicht in:The New phytologist. - 1984. - 232(2021), 1 vom: 15. Okt., Seite 404-417
1. Verfasser: Martínez-Vilalta, Jordi (VerfasserIn)
Weitere Verfasser: Santiago, Louis S, Poyatos, Rafael, Badiella, Llorenç, de Cáceres, Miquel, Aranda, Ismael, Delzon, Sylvain, Vilagrosa, Alberto, Mencuccini, Maurizio
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2021
Zugriff auf das übergeordnete Werk:The New phytologist
Schlagworte:Journal Article Research Support, Non-U.S. Gov't drought resistance drought tolerance extreme values hydraulic risk hydraulic safety margin minimum water potential physiological limits Water 059QF0KO0R
Beschreibung
Zusammenfassung:© 2021 The Authors. New Phytologist © 2021 New Phytologist Foundation.
Minimum water potential (Ψmin ) is a key variable for characterizing dehydration tolerance and hydraulic safety margins (HSMs) in plants. Ψmin 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 Ψmin 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 Ψmin 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 Ψmin 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 Ψmin , a closer look at Ψ distributions and the use of statistically robust methods to estimate Ψmin opens new ground for characterizing plant hydraulic risks
Beschreibung:Date Completed 09.09.2021
Date Revised 09.09.2021
published: Print-Electronic
Citation Status MEDLINE
ISSN:1469-8137
DOI:10.1111/nph.17571