2020
DOI: 10.1111/nph.16859
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Abstract: Drought-induced tree mortality frequently occurs in patches with different spatial and temporal distributions, which is only partly explained by inter-and intraspecific variation in drought tolerance. We investigated whether bedrock properties, with special reference to rock water storage capacity, affects tree water status and drought response in a rock-dominated landscape. We measured primary porosity and available water content of breccia (B) and dolostone (D) rocks. Saplings of Fraxinus ornus were grown in… Show more

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Cited by 31 publications
(13 citation statements)
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“…In the case of roots, we cannot estimate root water content remotely. However, and consistent with recent studies (Nardini et al, 2020), the predictive power of root RWC highlights the importance of root functioning and integrity during drought. Both RWC and water potential can be remotely sensed (Cohen, Alchanatis, Meron, Saranga, & Tsipris, 2005; Zhang, Zhou, Gentine, & Xiao, 2019).…”
Section: Discussionsupporting
confidence: 87%
“…In the case of roots, we cannot estimate root water content remotely. However, and consistent with recent studies (Nardini et al, 2020), the predictive power of root RWC highlights the importance of root functioning and integrity during drought. Both RWC and water potential can be remotely sensed (Cohen, Alchanatis, Meron, Saranga, & Tsipris, 2005; Zhang, Zhou, Gentine, & Xiao, 2019).…”
Section: Discussionsupporting
confidence: 87%
“…In the case of roots, we cannot estimate root water content remotely. However, and consistent with recent studies (Nardini et al 2020), the predictive power of root RWC highlights the importance of root functioning and integrity during drought. Both RWC and water potential can be remotely sensed (Cohen, Alchanatis, Meron, Saranga & Tsipris 2005; Zhang, Zhou, Gentine & Xiao 2019).…”
Section: Discussionsupporting
confidence: 88%
“…Covariation among multiple physiological traits or between traits and exposure may tighten and/or reverse risk distributions (Figure 1C). Some notable examples where covariation among physiological traits is fundamental to plant mortality risk include (i) trait covariation between tree height and P50, where xylem taper acts to mitigate the increase in hydraulic resistance as an individual grows taller at the cost of less embolism-resistant xylem [47,48]; (ii) covariation between factors such as plant height and rooting depth, which affect tree hydraulic vulnerability and water access, respectively; (iii) covariation between physiological traits and environment, such as covariation between P50 and soil water holding capacity or root water access [49]; and (iv) genetic tradeoffs between growth and biotic agent defense [50] versus vigor-related positive correlations between growth and defense [42,43]. These multiple physiological dimensions have the potential to either balance (as illustrated in Figure 1C by a net shift toward lower risk) or exacerbate risk as assessed by one plant trait.…”
Section: Within-species Trait Variation and Trait Covariation In Key ...mentioning
confidence: 99%