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Intra-dance variation among waggle runs and the design of efficient protocols for honey bee dance decoding

机译:摇摆动作之间的舞蹈内变化以及蜂舞解码的有效协议设计

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Noise is universal in information transfer. In animal communication, this presents a challenge not only for intended signal receivers, but also to biologists studying the system. In honey bees, a forager communicates to nestmates the location of an important resource via the waggle dance. This vibrational signal is composed of repeating units (waggle runs) that are then averaged by nestmates to derive a single vector. Manual dance decoding is a powerful tool for studying bee foraging ecology, although the process is time-consuming: a forager may repeat the waggle run 1- 100 times within a dance. It is impractical to decode all of these to obtain the vector; however, intra-dance waggle runs vary, so it is important to decode enough to obtain a good average. Here we examine the variation among waggle runs made by foraging bees to devise a method of dance decoding. The first and last waggle runs within a dance are significantly more variable than the middle run. There was no trend in variation for the middle waggle runs. We recommend that any four consecutive waggle runs, not including the first and last runs, may be decoded, and we show that this methodology is suitable by demonstrating the goodness-of-fit between the decoded vectors from our subsamples with the vectors from the entire dances.
机译:噪声在信息传递中很普遍。在动物交流中,这不仅给预期的信号接收器带来了挑战,也给研究该系统的生物学家带来了挑战。在蜜蜂中,觅食者通过摇摆舞与巢穴沟通重要资源的位置。该振动信号由重复单元(摆动运行)组成,然后由嵌套伙伴平均以得出单个矢量。手动舞蹈解码是研究蜜蜂觅食生态的强大工具,尽管该过程很耗时:觅食者可能会在一次舞蹈中重复1至100次摇动。解码所有这些以获得向量是不切实际的。但是,舞蹈中的摇摆动作会有所不同,因此足够解码以获得良好的平均值非常重要。在这里,我们研究了通过觅食蜜蜂来设计舞蹈解码方法而在摇摆摆动之间的差异。舞步中的第一个和最后一个摇摆动作比中间的动作变化更大。中游摆动没有变化趋势。我们建议可以解码任意四个连续的摆动(不包括第一次和最后一次),并且通过证明子样本的解码向量与整个样本的向量之间的拟合优度,表明该方法是合适的跳舞。

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