Drought tolerance shapes the distribution of plant species, and it is mainly determined by the osmotic potential at full turgor (π0) and the water potential at turgor loss point (Ψtlp). We provide a simplified framework for π0 and Ψtlp measurements based on osmometer determination of π0 (π0_osm). Specifically, we ran regression models to i) improve the predictive power of the estimation of π0 from π0_osm and morpho-anatomical traits; ii) obtain the most accurate model to predict Ψtlp on the basis of the global relationship between π0 and Ψtlp. The inclusion of the leaf dry matter content (LDMC), an easy-to-measure trait, in the regression model improved the predictive power of the estimation of π0 from π0_osm. When π0_osm was used as a simple predictor of Ψtlp, discrepancies arose in comparison with global relationship between π0 and Ψtlp. Ψtlp values calculated as a function of the π0 derived from π0_osm and LDMC (π0_fit) were consistent with the global relationship between π0 and Ψtlp. The simplified framework provided here could encourage the inclusion of mechanistically sound drought tolerance traits in ecological studies.
Keywords: Dewpoint hygrometer; Mechanistic traits; Osmotic potential; Water availability; Water potential.
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