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What underlies waves of agitation in starling flocks

机译:star鸟群中引起骚动的原因是什么

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Fast transfer of information in groups can have survival value. An example is the so-called wave of agitation observed in groups of animals of several taxa under attack. It has been shown to reduce predator success. It usually involves the repetition of a manoeuvre throughout the group, transmitting the information of the attack quickly, faster than the group moves itself. The specific manoeuvre underlying a wave is typically known, but not so in starlings (Sturnus vulgaris). Although waves of agitation in starling flocks have been suggested to reflect density waves, exact escape manoeuvres cannot be distinguished because flocks are spatially too far away. Therefore, waves may also reflect orientation waves (due to escape by rolling). In the present study, we investigate this issue in a computational model, StarDisplay. We use this model because its flocks have been shown to resemble starling flocks in many traits. In the model, we show that agitation waves result from changes in orientation rather than in density. They resemble empirical data both qualitatively in visual appearance and quantitatively in wave speed. In the model, local interactions with only two to seven closest neighbours suffice to generate empirical wave speed. Wave speed increases with the number of neighbours mimicked or repeated from and the distance to them. It decreases with reaction time and with time to identify the escape manoeuvre of others and is not affected by flock size. Our findings can be used as predictions for empirical studies.
机译:群体中信息的快速传递可以具有生存价值。一个例子是在受到攻击的几种类群的动物群中观察到的所谓的激动浪潮。它已被证明可以减少捕食者的成功。它通常涉及整个小组的重复演习,比小组自身行动更快,更快地传递攻击信息。波浪背后的特定动作通常是已知的,但八哥(Sturnus vulgaris)却不知道。尽管已经建议在star鸟群中搅动波来反映密度波,但是由于群在空间上太远,因此无法区分确切的逃避动作。因此,波也可能反射定向波(由于滚动而逃逸)。在本研究中,我们将在计算模型StarDisplay中调查此问题。我们使用此模型是因为它的鸡群已显示出在许多特征上都像八哥一样。在模型中,我们显示出搅动波是由方向变化而不是密度变化引起的。它们在视觉外观上定性地相似,并且在波速上定量地相似于经验数据。在该模型中,仅与2至7个最邻近的邻居进行局部交互就足以产生经验波速。波速随着模仿或重复的邻居数量以及与他们的距离而增加。它随着反应时间和识别他人逃跑行为的时间而减少,并且不受羊群大小的影响。我们的发现可以用作经验研究的预测。

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