Department of Physics, University of Padova, Padova, Italy.
ISC-CNR, via Madonna del Piano 10, Sesto Fiorentino, 50019, Italy.
Sci Rep. 2018 Aug 2;8(1):11590. doi: 10.1038/s41598-018-29919-0.
After foraging in the open ocean pelagic birds can pinpoint their breeding colonies, located on remote islands in visually featureless seascapes. This remarkable ability to navigate over vast distances has been attributed to the birds being able to learn an olfactory map on the basis of wind-borne odors. Odor-cued navigation has been linked mechanistically to displacements with exponentially-truncated power-law distributions. Such distributions were previously identified in three species of Atlantic and Mediterranean shearwaters but crucially it has not been demonstrated that these distributions are wind-speed dependent, as expected if navigation was olfactory-cued. Here we show that the distributions are wind-speed dependent, in accordance with theoretical expectations. We thereby link movement patterns to underlying generative mechanisms. Our novel analysis is consistent with the results of more traditional, non-mathematical, invasive methods and thereby provides independent evidence for olfactory-cued navigation in wild birds. Our non-invasive diagnostic tool can be applied across taxa, potentially allowing for the assessment of its pervasiveness.
在开阔的海洋中觅食后,远洋海鸟能够精确定位位于视觉上无特征的海域中遥远岛屿上的繁殖地。这种远距离导航的非凡能力归因于鸟类能够基于随风飘散的气味学习嗅觉地图。嗅觉引导的导航在机制上与呈指数截断幂律分布的位移有关。以前在三种大西洋和地中海剪水鹱中发现了这种分布,但至关重要的是,还没有证明这些分布与风速有关,就像预期的那样,如果导航是嗅觉引导的。在这里,我们表明这些分布与风速有关,这与理论预期一致。因此,我们将运动模式与潜在的生成机制联系起来。我们新颖的分析与更传统的非数学侵入性方法的结果一致,从而为野生鸟类的嗅觉引导导航提供了独立的证据。我们的非侵入性诊断工具可以应用于不同的分类群,有可能评估其普遍性。