The determinants of leaf turgor loss point and prediction of drought tolerance of species and biomes: a global meta-analysis.

By M. Bartlett, C. Scoffoni, L. Sack. Ecology Letters, 2012

896 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Plant Science

View Paper: https://www.semanticscholar.org/paper/9bc70ec38d5673cf9b7dfba26b1efb3c8acc1598

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Citations in the corpus

New insight into leaf drought tolerance (2015, methodology): “In this study, Mar echaux et al. 2015; used a recently developed method based on the use of an osmometer to predict ptlp (Bartlett et al. 2012a).”
Oaks Physiological Ecology. Exploring the Functional Diversity of Genus Quercus L. (2017, background): “Differences in ptlp among functional types within biomes are broadly documented (Bartlett et al. 2012).”
Which is a better predictor of plant traits: temperature or precipitation? (2014, neutral): “…strong correlations with mean annual precipitation have been previously shown for stem xylem hydraulic vulnerability (Maherali et al. 2004), for leaf osmotic potential at full turgor and turgor loss point (Bartlett et al. 2012), and for leaf major and minor vein density (Sack & Scoffoni 2013).”
Meta-analysis reveals that hydraulic traits explain cross-species patterns of drought-induced tree mortality across the globe (2016, methodology): “For each species, we collected a number of physiological traits that have been hypothesized as important to predicting mortality from global trait databases (18, 19), analyzing both absolute trait values and relative values to the ecological community at each site.”
Drought tolerance as predicted by leaf water potential at turgor loss point varies strongly across species within an Amazonian forest (2015, positive): “We assessed the leaf turgor loss point, ptlp, from a previously established linear relationship with the osmotic potential at full hydration (po), in turn directly measured with a vapour pressure osmometer (Vapro 5520, Wescor, Logan, UT, USA) (Bartlett et al. 2012a).”
Next-generation phenotyping: requirements and strategies for enhancing our understanding of genotype–phenotype relationships and its relevance to crop improvement (2013, background): “…Landi et al. 2010; Lopes et al. 2011; Steele et al. 2007; Zhu et al. 2011b; Clark et al. 2011) to physiological metrics related to water status (Bartlett et al. 2012a, b; Blum 2009; Gilbert et al. 2011; Ogburn and Edwards 2012; Tucker et al. 2011) to spectral imaging of shoot tissue (Berger et…”