Department of Earth Science, Indiana University - Purdue University Indianapolis, 723 West Michigan Street, Indianapolis, IN 46202, USA.
School of Public and Environmental Affairs, Indiana University Bloomington, 1315 East Tenth Street, Bloomington, IN 47405, USA.
Tree Physiol. 2020 Apr 8;40(4):425-432. doi: 10.1093/treephys/tpaa020.
Accurate understanding of plant responses to water stress is increasingly important for quantification of ecosystem carbon and water cycling under future climates. Plant water-use strategies can be characterized across a spectrum of water stress responses, from tight stomatal control (isohydric) to distinctly less stomatal control (anisohydric). A recent and popular classification method of plant water-use strategies utilizes the regression slope of predawn and midday leaf water potentials, σ, to reflect the coupling of soil water availability (predawn leaf water potential) and stomatal dynamics (daily decline in leaf water potential). This type of classification is important in predicting ecosystem drought response and resiliency. However, it fails to explain the relative stomatal responses to drought of Acer sacharrum and Quercus alba, improperly ranking them on the spectrum of isohydricity. We argue this inconsistency may be in part due to the cuticular conductance of different species. We used empirical and modeling evidence to show that plants with more permeable cuticles are more often classified as anisohydric; the σ values of those species were very well correlated with measured cuticular permeance. Furthermore, we found that midday leaf water potential in species with more permeable cuticles would continue to decrease as soils become drier, but not in those with less permeable cuticles. We devised a diagnostic parameter, Γ, to identify circumstances where the impact of cuticular conductance could cause species misclassification. The results suggest that cuticular conductance needs to be considered to better understand plant water-use strategies and to accurately predict forest responses to water stress under future climate scenarios.
准确理解植物对水分胁迫的响应,对于量化未来气候下生态系统的碳和水循环越来越重要。植物的水分利用策略可以在一个水分胁迫响应的光谱范围内进行描述,从紧密的气孔控制(等水)到明显较少的气孔控制(非等水)。最近一种流行的植物水分利用策略分类方法利用黎明前和中午叶片水势的回归斜率 σ 来反映土壤水分供应(黎明前叶片水势)和气孔动态(叶片水势的日下降)之间的耦合。这种分类方法对于预测生态系统干旱响应和恢复力非常重要。然而,它无法解释 Acer sacharrum 和 Quercus alba 对干旱的相对气孔响应,错误地将它们排列在等水范围内。我们认为这种不一致可能部分是由于不同物种的角质层导度。我们利用实证和模型证据表明,角质层渗透性较高的植物更常被归类为非等水植物;这些物种的 σ 值与测量的角质层渗透率非常相关。此外,我们发现,在角质层渗透性较高的物种中,中午叶片水势会随着土壤变干而继续下降,但在角质层渗透性较低的物种中则不会。我们设计了一个诊断参数 Γ 来识别角质层导度可能导致物种错误分类的情况。结果表明,需要考虑角质层导度,以更好地理解植物水分利用策略,并准确预测未来气候情景下森林对水分胁迫的响应。