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J R Soc Interface. 2018 Feb;15(139). doi: 10.1098/rsif.2017.0664. Epub 2018 Feb 14.
2
Gliding lizards use the position of the sun to enhance social display.滑翔蜥蜴利用太阳的位置来增强社交展示。
Biol Lett. 2017 Feb;13(2). doi: 10.1098/rsbl.2016.0979.
3
The effects of multiple obstacles on the locomotor behavior and performance of a terrestrial lizard.多种障碍物对一种陆栖蜥蜴运动行为及表现的影响。
J Exp Biol. 2016 Apr;219(Pt 7):1004-13. doi: 10.1242/jeb.120451. Epub 2016 Jan 28.
4
Through the eyes of a bird: modelling visually guided obstacle flight.鸟瞰视角下的视觉引导障碍物飞行建模
J R Soc Interface. 2014 May 8;11(96):20140239. doi: 10.1098/rsif.2014.0239. Print 2014 Jul 6.
5
Photographic capture-recapture sampling for assessing populations of the Indian gliding lizard Draco dussumieri.使用摄影捕获-再捕获采样来评估印度飞蜥(Draco dussumieri)的种群数量。
PLoS One. 2013;8(2):e55935. doi: 10.1371/journal.pone.0055935. Epub 2013 Feb 13.
6
Glide performance and aerodynamics of non-equilibrium glides in northern flying squirrels (Glaucomys sabrinus).非平衡滑翔中北部飞鼠(Glaucomys sabrinus)的滑行性能和空气动力学。
J R Soc Interface. 2012 Dec 19;10(80):20120794. doi: 10.1098/rsif.2012.0794. Print 2013 Mar 6.
7
The visual control of landing and obstacle avoidance in the fruit fly Drosophila melanogaster.果蝇(Drosophila melanogaster)的着陆和避障的视觉控制。
J Exp Biol. 2012 Jun 1;215(Pt 11):1783-98. doi: 10.1242/jeb.066498.
8
The biology of gliding in flying lizards (genus Draco) and their fossil and extant analogs.滑翔生物学在飞蜥属(Draco)及其化石和现存的类似物中。
Integr Comp Biol. 2011 Dec;51(6):983-90. doi: 10.1093/icb/icr090. Epub 2011 Jul 28.
9
Gliding saves time but not energy in Malayan colugos.滑翔在马来飞狐中节省时间但不节省能量。
J Exp Biol. 2011 Aug 15;214(Pt 16):2690-6. doi: 10.1242/jeb.052993.
10
Non-equilibrium trajectory dynamics and the kinematics of gliding in a flying snake.非平衡轨迹动力学与飞行蛇滑翔的运动学
Bioinspir Biomim. 2010 Dec;5(4):045002. doi: 10.1088/1748-3182/5/4/045002. Epub 2010 Nov 24.

生物力学、路径规划和传感如何使滑翔飞行在自然环境中成为可能。

How biomechanics, path planning and sensing enable gliding flight in a natural environment.

机构信息

Department of Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

出版信息

Proc Biol Sci. 2020 Feb 26;287(1921):20192888. doi: 10.1098/rspb.2019.2888. Epub 2020 Feb 19.

DOI:10.1098/rspb.2019.2888
PMID:32070254
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7062017/
Abstract

Gliding animals traverse cluttered aerial environments when performing ecologically relevant behaviours. However, it is unknown how gliders execute collision-free flight over varying distances to reach their intended target. We quantified complete glide trajectories amid obstacles in a naturally behaving population of gliding lizards inhabiting a rainforest reserve. In this cluttered habitat, the lizards used glide paths with fewer obstacles than alternatives of similar distance. Their takeoff direction oriented them away from obstacles in their path and they subsequently made mid-air turns with accelerations of up to 0.5 g to reorient towards the target tree. These manoeuvres agreed well with a vision-based steering model which maximized their bearing angle with the obstacle while minimizing it with the target tree. Nonetheless, negotiating obstacles reduced mid-glide shallowing rates, implying greater loss of altitude. Finally, the lizards initiated a pitch-up landing manoeuvre consistent with a visual trigger model, suggesting that the landing decision was based on the optical size and speed of the target. They subsequently followed a controlled-collision approach towards the target, ending with variable impact speeds. Overall, the visually guided path planning strategy that enabled collision-free gliding required continuous changes in the gliding kinematics such that the lizards never attained theoretically ideal steady-state glide dynamics.

摘要

滑翔动物在执行与生态相关的行为时会穿越杂乱的空中环境。然而,目前尚不清楚滑翔者如何在不同距离上执行无碰撞飞行以到达其预期目标。我们在一个居住在雨林保护区的滑翔蜥蜴自然行为群体中量化了完整的滑翔轨迹。在这个杂乱的栖息地中,蜥蜴使用的滑翔路径障碍物比类似距离的替代路径少。它们的起飞方向使它们远离路径中的障碍物,然后在空中进行转弯,加速度高达 0.5g,以重新对准目标树。这些动作与基于视觉的转向模型非常吻合,该模型最大限度地增加了与障碍物的方位角,同时最小化了与目标树的方位角。尽管如此,穿越障碍物会降低滑翔过程中的倾斜率,这意味着会损失更多的高度。最后,蜥蜴会进行俯仰着陆动作,这与视觉触发模型一致,这表明着陆决策是基于目标的光学大小和速度。然后,它们会朝着目标进行受控碰撞,最终的着陆速度会有所变化。总的来说,这种视觉引导的路径规划策略使得无碰撞滑翔成为可能,需要不断改变滑翔运动学,以至于蜥蜴从未达到理论上理想的稳态滑翔动力学。