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A Leaf Selfie: Using a Smartphone to Quantify Leaf Vulnerability to Hydraulic Dysfunction

机译:叶片自拍照:使用智能手机量化叶片对水力功能障碍的脆弱性

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摘要

Accurate predictions of species distribution under current and future climate conditions require modeling efforts based on clear mechanistic relationships between climate variables and plant physiological functions. Vulnerability of leaves to xylem embolism is a key mechanistic trait that might be included in these modeling efforts. Here, we propose a simple set-up to measure leaf vulnerability to embolism on the basis of the optical method using a smartphone, a light source, and a notebook. Our data show that this proposed set-up can adequately quantify the vulnerability to xylem embolism of leaf major veins in and , producing values consistent with those obtained in temperate tree species with other methods, allowing virtually any laboratory to quantify species-specific drought tolerance on the basis of a sound mechanistic trait.
机译:要准确预测当前和未来气候条件下的物种分布,就需要基于气候变量与植物生理功能之间清晰的机械关系进行建模工作。叶子对木质部栓塞的脆弱性是这些建模工作中可能包含的关键机械特征。在此,我们提出了一种简单的设置,以基于使用智能手机,光源和笔记本电脑的光学方法来测量叶片对栓塞的脆弱性。我们的数据表明,该提议的设置可以充分量化叶片中和叶片中主要静脉对木质部栓塞的脆弱性,并通过其他方法产生与在温带树种中获得的值一致的值,从而几乎任何实验室都可以量化对特定树种的耐旱性。良好的机械特性的基础。

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