Arctic tern flyways and the changing Atlantic Ocean wind patterns

Nomikos Skyllas , Maarten J.J.E. Loonen , Richard Bintanja
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Abstract

Migratory bird trajectories are the result of their own speed and direction in combination with wind speed and direction. Several studies have focused on the interplay between bird migration and general wind patterns, however, the majority of them did not take into account climate change and used a small number of individuals. By integrating tracking data from two populations of Arctic terns (n = 72) with ERA5 and Earth System Model (ESM) wind data, we were able to study the current conditions and the potential effects of climate change on them.

The Svalbard birds experienced wind support values around 3 m/s with a relatively low variability, while the Dutch population experienced almost no wind support with a greater variability. Svalbard terns exhibited better adjustment of their flyways to daily and annually varying wind conditions, and responded to crosswinds by drifting over extended periods/regions (median Drift Ratio ± standard deviation: 0.51 ± 0.18) while the Dutch population mostly compensated (0 ± 0.31). We suggest that the Svalbard birds will be able to adapt their flyways to future Atlantic Ocean wind pattern changes, while we are uncertain whether the Dutch population can keep compensating for future changes or not.

We examine the robustness of our results by using a selection of ESMs and by including metrics for several uncertainty sources (ESMs, wind variability, tracking method etc.). This study highlights the importance of wind as a flyway-shaping factor and points out the possibility for different responses to wind by different populations of the same species, in different Ocean regions and seasons.

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北极燕鸥的飞行路线与大西洋风向的变化
候鸟的轨迹是它们自身的速度和方向与风速和方向相结合的结果。几项研究集中在鸟类迁徙和一般风模式之间的相互作用上,然而,大多数研究没有考虑到气候变化,只使用了少数个体。通过将两个北极燕鸥种群(n=72)的跟踪数据与ERA5和地球系统模型(ESM)的风数据相结合,我们能够研究当前的条件以及气候变化对它们的潜在影响。斯瓦尔巴群岛鸟类的风力支持值约为3 m/s,变异性相对较低,而荷兰种群几乎没有风力支持,变异性较大。斯瓦尔巴燕鸥表现出更好的飞行方式适应每日和每年变化的风况,对侧风的反应是长时间/区域漂移(漂移比中值±标准差:0.51±0.18),而荷兰种群大多得到补偿(0±0.31)。我们认为,斯瓦尔巴群岛的鸟类将能够适应未来大西洋风向的变化,而我们不确定荷兰人口能否继续补偿未来的变化。我们通过选择ESM并包括几种不确定性来源(ESM、风的可变性、跟踪方法等)的指标来检验我们的结果的稳健性。这项研究强调了风作为飞行路线形成因素的重要性,并指出了同一物种的不同种群在不同的海洋区域和季节对风做出不同反应的可能性。
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