沉降空气动力学是落叶树叶片对称性的驱动因素

Matthew D. Biviano, Kaare H. Jensen
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引用次数: 0

摘要

落叶树落下的树叶含有每年固碳量的 40%,并含有对森林生态系统的扩展和健康至关重要的营养物质。为了实现这一目标,树叶必须快速落下,落到母树附近--否则,它们就会像花粉或滑翔种子一样随风而逝。然而,树叶形状与沉降速度之间的联系仍不清楚。为了衡量现存树叶的相对性能,我们开发了一种自动沉降装置(ASAP),每天能够在仿生纸树叶上进行100美元的自由落叶实验。25片具有代表性的叶片中,大多数叶片的沉降速度与我们的对照组(一个圆形圆盘)相似。将as1-数字突变应用于落叶乔木叶片,也发现了类似的速度降低。在广泛的天然叶片、变异叶片和人工叶片中,形状与沉降相关的数据支持了快叶假说:落叶之所以对称且相对无叶片,部分原因是这样可以最大限度地提高沉降速度,同时保留养分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Settling aerodynamics is a driver of symmetry in deciduous tree leaves
Leaves shed by deciduous trees contain 40\% of the annually sequestered carbon, and include nutrients vital to the expansion and health of forest ecosystems. To achieve this, leaves must fall quickly to land near the parent tree -- otherwise, they are lost to the wind, like pollen or gliding seeds. However, the link between leaf shape and sedimentation speed remains unclear. To gauge the relative performance of extant leaves, we developed an automated sedimentation apparatus (ASAP) capable of performing $\sim100$ free fall experiments per day on biomimetic paper leaves. The majority of 25 representative leaves settle at rates similar to our control (a circular disc). Strikingly, the Arabidopsid mutant asymmetric leaves1 (as1) fell 15\% slower than the wild type. Applying the as1-digital mutation to deciduous tree leaves revealed a similar speed reduction. Data correlating shape and settling across a broad range of natural, mutated, and artificial leaves support thefast-leaf-hypothesis: Deciduous leaves are symmetric and relatively unlobed in part because this maximizes their settling speed and concomitant nutrient retention.
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