首页> 美国卫生研究院文献>Proceedings of the Royal Society B: Biological Sciences >How do king penguins (Aptenodytes patagonicus apply the mathematical theory of information to communicate in windy conditions?
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How do king penguins (Aptenodytes patagonicus apply the mathematical theory of information to communicate in windy conditions?

机译:企鹅王(Aptenodytes patagonicus)如何在大风条件下运用信息数学理论进行交流?

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摘要

In the king penguin (Aptenodytes patagonicus), both pair members alternate in incubating and rearing their chick. Mates can recognize each other among thousands of other birds in the hubbub of the colony using only acoustic signalling: the display call. Large penguin colonies are found on sub-Antarctic islands where strong winds blow throughout the year. We have shown by experiments under natural conditions that the level of background noise increases in windy conditions and thus leads to a diminution of the signal-to-noise ratio. Moreover the emergence level of the signal revealed by entropy calculation is statistically weaker in windy conditions. To achieve breeding success, birds must continue communicating in spite of the significant decrease in the total amount of information that can be transmitted in windy situations. For the first time, to our knowledge, we have shown that a bird species takes into account the constraints imposed by wind on their acoustic communication. In windy conditions, birds try to maintain the efficiency of communication by increasing both the number of calls emitted and the number of syllables per call. This result conforms with predictions from the mathematical theory of communication: increased redundancy in a signal improves the probability of receiving a message in a noisy channel.
机译:在企鹅王(Aptenodytes patagonicus)中,两对成员交替孵化和饲养小鸡。配偶可以仅通过声音信号(显示呼叫)就可以在该殖民地的轮毂中数以千计的其他鸟类之间相互识别。在南极洲的小岛上发现了大的企鹅殖民地,一年四季都在吹大风。我们已经通过在自然条件下的实验表明,在大风条件下,背景噪声的水平会增加,从而导致信噪比减小。此外,在大风条件下,通过熵计算揭示的信号出现水平在统计上较弱。为了获得成功的繁殖,尽管在刮风的情况下可以传输的信息总量大大减少,但鸟类仍必须继续交流。据我们所知,这是我们第一次证明鸟类是考虑到风对它们的声音传播的限制。在刮风的情况下,鸟类会尝试通过增加发出的电话数量和每个电话的音节数量来保持通信效率。该结果符合通信数学理论的预测:信号中增加的冗余度提高了在嘈杂信道中接收消息的可能性。

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