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翼振频率和振幅在飞行能力中的作用。

The role of wingbeat frequency and amplitude in flight power.

机构信息

Department of Biosciences, Swansea University, Swansea SA1 8PP, UK.

School of Biological, Earth and Environmental Sciences, University College Cork, Cork T23 N73 K, Ireland.

出版信息

J R Soc Interface. 2022 Aug;19(193):20220168. doi: 10.1098/rsif.2022.0168. Epub 2022 Aug 24.

Abstract

Body-mounted accelerometers provide a new prospect for estimating power use in flying birds, as the signal varies with the two major kinematic determinants of aerodynamic power: wingbeat frequency and amplitude. Yet wingbeat frequency is sometimes used as a proxy for power output in isolation. There is, therefore, a need to understand which kinematic parameter birds vary and whether this is predicted by flight mode (e.g. accelerating, ascending/descending flight), speed or morphology. We investigate this using high-frequency acceleration data from (i) 14 species flying in the wild, (ii) two species flying in controlled conditions in a wind tunnel and (iii) a review of experimental and field studies. While wingbeat frequency and amplitude were positively correlated, values were generally low, supporting the idea that parameters can vary independently. Indeed, birds were more likely to modulate wingbeat amplitude for more energy-demanding flight modes, including climbing and take-off. Nonetheless, the striking variability, even within species and flight types, highlights the complexity of describing the kinematic relationships, which appear sensitive to both the biological and physical context. Notwithstanding this, acceleration metrics that incorporate both kinematic parameters should be more robust proxies for power than wingbeat frequency alone.

摘要

身体安装的加速度计为估计飞鸟的能量消耗提供了新的前景,因为信号随两个主要的空气动力决定因素:翅膀拍打频率和幅度而变化。然而,翅膀拍打频率有时被单独用作功率输出的代理。因此,需要了解鸟类会改变哪个运动学参数,以及这种变化是否由飞行模式(例如加速、上升/下降飞行)、速度或形态来预测。我们使用(i)在野外飞行的 14 种物种、(ii)在风洞中受控条件下飞行的两种物种以及(iii)实验和现场研究的综述中的高频加速度数据来研究这一点。虽然翅膀拍打频率和幅度呈正相关,但 值通常较低,支持参数可以独立变化的观点。事实上,鸟类更有可能为更耗能的飞行模式(包括攀爬和起飞)改变翅膀拍打幅度。尽管如此,即使在物种和飞行类型内,也存在显著的可变性,突出了描述运动学关系的复杂性,这似乎对生物和物理环境都很敏感。尽管如此,将两个运动学参数结合在一起的加速度指标应该比单独的翅膀拍打频率更能可靠地代表功率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/860d/9403799/43f10329c106/rsif20220168f01.jpg

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