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Directed flight and optimal airspeeds: homeward-bound gulls react flexibly to wind yet fly slower than predicted

机译:定向飞行和最佳空气速度:家庭绑定的海鸥灵活地对风反应,但飞得比预测的速度慢

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摘要

Birds in flight are proposed to adjust their body orientation (heading) and airspeed to wind conditions adaptively according to time and energy constraints. Airspeeds in goal-directed flight are predicted to approach or exceed maximum-range airspeeds, which minimize transport costs (energy expenditure per unit distance) and should increase in headwinds and crosswinds. Diagnosis of airspeed adjustment is however obscured by uncertainty regarding birds' goal-directions, transport costs, interrelations with orientation strategy and the attainability of predicted behaviour. To address these issues, we tested whether gulls minimized transport costs through adjustment of airspeed and heading to wind conditions during extended inbound flight over water (180-360 km) to their breeding colony, and introduce a methodology to assess transport (energy) efficiency given wind conditions. Airspeeds, heading, flight mode and energy expenditure were estimated using GPS tracking, accelerometer and wind data. Predicted flight was determined by simulating each trip according to maximum-range airspeeds and various orientation strategies. Gulls employed primarily flapping flight (93%), and negotiated crosswinds flexibly to exploit both high altitude tailwinds and coastal soaring opportunities. We demonstrate that predicted airspeeds in heavy crosswinds depend strongly on orientation strategy and presumed preferred direction. Measured airspeeds increased with headwind and crosswind similarly to maximum-range airspeeds based on full compensation for wind drift, yet remained ∼ 30% lower than predicted by all strategies, resulting in slower and 30-35% costlier flight. Interestingly, more energy could be saved through adjustment of airspeed (median 40%) than via orientation strategy (median 4%). Therefore, despite remarkably flexible reaction to wind at sea, these gulls evidently minimized neither time nor energy expenditure. However, airspeeds were possibly over-predicted by current aerodynamic models. This study emphasizes the importance of accounting for orientation strategy when assessing airspeed adjustments to wind and indicates that either the cost or adaptive ‘currency’ of extended flight among gulls may require revision.
机译:在飞行中的小鸟都建议调整身体方向(标题)和自适应地根据时间和精力的限制空速风力条件。在目标指向飞行空速被预测为接近或超过最大范围的空速,其最小化运输成本(每单位距离的能量消耗),并应在逆风和侧风增加。空速调整的诊断然而不确定性有关鸟类的目标,方向,运输成本,与定位策略的相互关系和预测行为的可得性遮蔽。为了解决这些问题,我们测试海鸥通过空速的调整最小化运输成本和水上延伸进港航班(180-360公里),其繁殖地期间前往风力条件,并介绍一种方法来评估运输(能量)效率是否给出风力条件。空速,航向,飞行模式和能量消耗,使用GPS跟踪,加速度计和风力数据来估计。预测飞行通过根据最大范围的空速和各种取向战略模拟每一行确定。海鸥承担主要扑翼(93%),并协商侧风灵活地利用既高空顺风和沿海飞涨的机会。我们表明,在重侧风预测空速的定位策略和推测首选方向强烈依赖。测定增加的空速与逆风和侧风类似于最大范围空速基于全补偿风漂移,但仍然〜30%低于所有策略预测,从而导致更慢和30-35%昂贵飞行。有趣的是,更多的能量可以通过的空速(中值40%)调整比通过定位策略(中值4%)被保存。因此,尽管在海上非常灵活反应风,这些海鸥明显最小化不会因时间和能量消耗。然而,空速是可能由目前的空气动力学模型在预测。该研究强调约占定位策略评估空速调整时风的重要性,并表示无论是海鸥之间的成本或延长飞行适应性“货币”可能需要修订。

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