Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ, 08544, USA.
Department of Geosciences, Princeton University, Princeton, NJ, 08544, USA.
Plant Cell Environ. 2017 Oct;40(10):2095-2108. doi: 10.1111/pce.13002. Epub 2017 Aug 9.
Spatial patterns of leaf water isotopes are challenging to predict because of the intricate link between vein and lamina water. Many models have attempted to predict these patterns, but to date, most have focused on monocots with parallel veins. These provide a simple system to study, but do not represent the majority of plant species. Here, a new protocol is developed using a Picarro induction module coupled to a cavity ringdown spectrometer to obtain maps of the leaf water isotopes ( O and H). The technique is applied to Colocasia esculenta leaves. The results are compared with isotope ratio mass spectrometry. In C. esculenta, a large enrichment in the radial direction is observed, but not in the longitudinal direction. The string-of-lakes model fails to predict the observed patterns, while the Farquhar-Gan model is more successful, especially when enrichment is accounted for along the radial direction. Our results show that reticulate-veined leaves experience a larger enrichment along the axis of the secondary veins than along the midrib. We hypothesize that this is due to the lower major/minor vein ratio that leads to longer pathways between major veins and sites of evaporation.
叶片水分同位素的空间分布模式难以预测,因为叶脉和叶片水分之间存在复杂的联系。许多模型都试图预测这些模式,但迄今为止,大多数模型都集中在平行叶脉的单子叶植物上。这些模型提供了一个简单的系统来研究,但它们并不代表大多数植物物种。在这里,开发了一种新的方案,使用与腔衰荡光谱仪耦合的 Picarro 感应模块来获得叶片水分同位素( O 和 H)的图谱。该技术应用于芋艿叶片。将结果与同位素质谱进行比较。在芋艿中,在径向方向上观察到大量的富集,但在纵向方向上没有。“串湖”模型无法预测观察到的模式,而 Farquhar-Gan 模型则更成功,特别是当考虑沿径向的富集时。我们的结果表明,网状叶脉的次生叶脉轴向的富集程度大于中脉。我们假设这是由于主要/次要叶脉比例较低,导致主要叶脉和蒸发部位之间的路径更长。