Complex systems approaches to temporal soundspace partitioning in bird communities as a self-organizing phenomenon based on behavioral plasticity
Complex systems approaches to temporal soundspace partitioning in bird communities as a self-organizing phenomenon based on behavioral plasticity
复制标题
鸟类群落中时间声空间划分的复杂系统方法作为基于行为可塑性的自组织现象
DOI：
10.1007/s10015-019-00553-x
复制
发表时间：
2019
影响因子：
0.9
通讯作者：
Reiji Suzuki and Martin L. Cody
中科院分区：
文献类型：
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作者：
Ken Orimoto;Masashi Honda;Takumi Miyamoto,Tomoko Tateyama;Shimpei Matsumoto;Reiji Suzuki and Martin L. Cody
本文介绍了我们的几个初步的方法来理解鸟类群落的时间声空间划分作为一个自组织现象的基础上的行为可塑性。首先，我们描述了这种现象，从我们的录音，并显示有不对称的关系和物种之间的时间回避行为的多样性，使用转移熵分析。然后，我们认为这样的多样性的进化意义，使用的时间重叠的协同进化的计算实验，避免同域物种之间的歌唱行为，不同的物种特定的歌曲长度，这意味着多样性的行为可塑性在鸟类群落可以有助于更有效地建立的声音空间分区。最后，我们介绍了我们的初步工作，提取多个鸟类之间的相互作用过程的时间动态记录与麦克风阵列使用一个开源的软件系统，机器人试听称为HARK。
This paper introduces our several preliminary approaches toward understanding temporal soundspace partitioning in bird communities as a self-organizing phenomenon based on behavioral plasticity. First, we describe this phenomenon from our recordings, and show there are asymmetric relationships and the diversity in the temporal avoidance behaviors among the species, using transfer entropy analysis. Then, we consider the evolutionary significance of such a diversity using a computational experiment of the coevolution of the temporal overlap avoidance of singing behaviors among sympatric species with different species-specific song lengths, implying that diversity in the behavioral plasticity in bird communities can contribute to the more efficient establishment of the soundspace partitioning. Finally, we introduce our preliminary works on extracting the temporal dynamics of interaction processes among multiple birds from recordings with a microphone array using an open-source software system for robot audition called HARK.