Lachlan R F, Verhagen L, Peters S, Cate C Ten
Institute of Biology, Leiden University.
J Comp Psychol. 2010 Feb;124(1):92-108. doi: 10.1037/a0016996.
Previous studies of learned bird song have suggested the existence of species-universal patterns in song organization: clear clusters in produced songs that do not vary within a species. Here the authors combine a computational method of comparing songs with statistical methods of assessing cluster structure to investigate this issue in a more quantitative manner. The authors first analyze song phonology and then examine song syntax at a population level in 3 species with very different song structure: chaffinches (Fringilla coelebs), zebra finches (Taenopygia guttata), and swamp sparrows (Melospiza georgiana). The authors used a dynamic time-warping algorithm to compare song elements, which closely matched the judgments of human observers. Clustering tendency and validation statistics showed that broad phonological categories existed in all 3 species, but these categories explained no more than half of the overall phonological variation. The authors developed a novel statistic to assess syntactical structure, which indicated that element transitions were not randomly distributed. In the clearest case, in chaffinches, this could be explained by syllables being linked to certain positions within the song. These results demonstrate measures of song organization that can be applied across species, enhancing the potential of comparative studies.
先前对学唱鸟鸣的研究表明,鸟鸣结构中存在物种通用模式:所产生的鸟鸣中存在清晰的聚类,且在同一物种内不会变化。在此,作者将比较鸟鸣的计算方法与评估聚类结构的统计方法相结合,以更定量的方式研究这一问题。作者首先分析鸟鸣音系学,然后在具有非常不同鸟鸣结构的3个物种——苍头燕雀(Fringilla coelebs)、斑胸草雀(Taenopygia guttata)和沼泽雀(Melospiza georgiana)——的群体水平上研究鸟鸣句法。作者使用动态时间规整算法比较鸟鸣元素,该算法与人类观察者的判断高度匹配。聚类趋势和验证统计表明,所有3个物种中都存在广泛的音系类别,但这些类别所解释的音系变化不超过总体音系变化的一半。作者开发了一种新颖的统计方法来评估句法结构,该方法表明元素转换并非随机分布。在最明显的例子中,在苍头燕雀中,这可以通过音节与鸟鸣内特定位置相关联来解释。这些结果展示了可跨物种应用的鸟鸣结构测量方法,增强了比较研究的潜力。