2018
DOI: 10.1002/ajb2.1164
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Evolution of leaf structure and drought tolerance in species of Californian Ceanothus

Abstract: The study of these mechanisms and their evolution gains in urgency because in many ecosystems plant drought tolerance is of major and growing importance for survival (Sheffield and Wood, 2008). California is projected to become drier and to increase by several degrees in mean annual temperature by the end of the 21st century, affecting seasonal water availability, and contributing to summer drought (

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Cited by 27 publications
(26 citation statements)
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“…3; Table 1) is both novel and consistent with previous studies linking these traits to habitat and drought tolerance. Previous studies have demonstrated that πtlp and PLAdry are physiologically meaningful traits linked to species distribution along moisture gradients (Maréchaux et al ., 2015; Fletcher et al ., 2018; Zhu et al ., 2018; Medeiros et al ., 2019; Rosas et al ., 2019; Simeone et al ., 2019), and our findings indicate that these traits also influence drought responses. Furthermore, the observed linkage of πtlp to italicRt in this forest aligns with observations in the Amazon that πtlp is higher in drought‐intolerant than drought‐tolerant plant functional types.…”
Section: Discussionmentioning
confidence: 99%
“…3; Table 1) is both novel and consistent with previous studies linking these traits to habitat and drought tolerance. Previous studies have demonstrated that πtlp and PLAdry are physiologically meaningful traits linked to species distribution along moisture gradients (Maréchaux et al ., 2015; Fletcher et al ., 2018; Zhu et al ., 2018; Medeiros et al ., 2019; Rosas et al ., 2019; Simeone et al ., 2019), and our findings indicate that these traits also influence drought responses. Furthermore, the observed linkage of πtlp to italicRt in this forest aligns with observations in the Amazon that πtlp is higher in drought‐intolerant than drought‐tolerant plant functional types.…”
Section: Discussionmentioning
confidence: 99%
“…In both types of analysis, the r values provide a conservative estimate of trait-climate relationships. As in previous biogeographic trait-climate analyses 134,135 , we related species' average trait values from a 601 database or experimental measurements to modelled native climates based on natural occurrences; relationships would be yet stronger if traits and climate were matched for individual plants 136 . Additionally, the modelled native climates do not account for variation to which species would be adapted in the field in temperature, irradiance and water availability due to 605 microclimate associated with topography and canopy cover, or soil characteristics; accounting for this variation would likely improve the strength of trait-climate relationships 136 .…”
Section: Testing Trait-climate Associationsmentioning
confidence: 99%
“…Additionally, we tested whether RGR was related to 15 traits that we hypothesized to be associated with climate and/or flowering times, given they have been described as contributing to resistance or avoidance of cold or dry climates in the published literature for diverse species (hypothesized trait–climate relationships reviewed in Table 1), including reproductive traits such as seed mass and flowering times; biomass allocation traits such as RMF and reproductive mass fraction (ReproMF); relative growth rate components including specific leaf area (SLA; the inverse of LMA), leaf mass fraction (LMF), leaf area ratio (LAR) and unit leaf rate (ULR), where RGR = ULR × LAR, and LAR = SLA × LMF (Evans, 1972; Hunt, 1990; Lambers et al ., 1998); leaf morphological traits such as leaf size, thickness and density; and leaf composition and biochemistry traits such as Chl per area (Chl/area), carbon isotope ratio (δ 13 C), N area , N mass and the leaf osmotic potential at full turgor (π o ), the main biophysical determinant of wilting point (i.e. turgor loss point; Bartlett et al ., 2012a,b; Fletcher et al ., 2018; Griffin‐Nolan et al ., 2019). We also tested for correlations among leaf economics traits, that is that LMA, N area and Chl/area would be positively correlated and LMA and N mass would be negatively correlated (Wright et al ., 2004), and whether this variation was associated with RGR.…”
Section: Introductionmentioning
confidence: 99%