Konrad Lorenz Institute of Ethology, Department of Interdisciplinary Life Sciences, University of Veterinary Medicine, Vienna 1160, Austria.
Waldrappteam Conservation and Research, 6162 Mutters, Austria.
J R Soc Interface. 2023 Feb;20(199):20220798. doi: 10.1098/rsif.2022.0798. Epub 2023 Feb 15.
The investigation of the emergent collective behaviour in flying birds is a challenging task, yet it has always fascinated scientists from different disciplines. In the attempt of studying and modelling line formation, we collected high-precision position data of 29 free-flying northern bald ibises () using Global Navigation Satellite System loggers, to investigate whether the spatial relationships within a flock can be explained by birds maintaining energetically advantageous positions. Specifically, we exploited domain knowledge and available literature information to model by means of fuzzy logic where the air vortices lie behind a flying bird. This allowed us to determine when a leading bird provides the upwash to a following bird, reducing its overall effort. Our results show that the fuzzy model allows to easily distinguish which bird is flying in the wake of another individual, provides a clear indication about flying flock dynamics and also gives a hint about birds' social relationships.
研究飞鸟的紧急集体行为是一项具有挑战性的任务,但它一直吸引着来自不同学科的科学家。在研究和模拟直线形成的过程中,我们使用全球导航卫星系统记录器收集了 29 只自由飞翔的北方秃鹰()的高精度位置数据,以调查鸟群内部的空间关系是否可以通过鸟类保持能量优势位置来解释。具体来说,我们利用领域知识和现有文献信息,通过模糊逻辑来模拟空气漩涡位于飞鸟后方的位置。这使我们能够确定领先的鸟何时为跟随的鸟提供上升气流,从而减少其整体努力。我们的研究结果表明,模糊模型可以轻松区分哪只鸟在另一只鸟的尾流中飞行,清晰地指示了飞行鸟群的动态,也暗示了鸟类的社会关系。