Division of Evolution, Ecology and Genetics, Research School of Biology, The Australian National University, Canberra, Australian Capital Territory 0200, Australia.
Proc Biol Sci. 2013 Jan 8;280(1754):20122539. doi: 10.1098/rspb.2012.2539. Print 2013 Mar 7.
Vertebrates that eavesdrop on heterospecific alarm calls must distinguish alarms from sounds that can safely be ignored, but the mechanisms for identifying heterospecific alarm calls are poorly understood. While vertebrates learn to identify heterospecific alarms through experience, some can also respond to unfamiliar alarm calls that are acoustically similar to conspecific alarm calls. We used synthetic calls to test the role of specific acoustic properties in alarm call identification by superb fairy-wrens, Malurus cyaneus. Individuals fled more often in response to synthetic calls with peak frequencies closer to those of conspecific calls, even if other acoustic features were dissimilar to that of fairy-wren calls. Further, they then spent more time in cover following calls that had both peak frequencies and frequency modulation rates closer to natural fairy-wren means. Thus, fairy-wrens use similarity in specific acoustic properties to identify alarms and adjust a two-stage antipredator response. Our study reveals how birds respond to heterospecific alarm calls without experience, and, together with previous work using playback of natural calls, shows that both acoustic similarity and learning are important for interspecific eavesdropping. More generally, this study reconciles contrasting views on the importance of alarm signal structure and learning in recognition of heterospecific alarms.
脊椎动物在偷听异性警报声时,必须区分警报声和可以安全忽略的声音,但识别异性警报声的机制还知之甚少。虽然脊椎动物通过经验学会识别异性警报声,但有些动物也可以对与同种警报声在声学上相似的陌生警报声做出反应。我们使用合成声音来测试特异性声音特征在超仙女鹪鹩(Malurus cyaneus)识别警报声中的作用。个体对峰值频率更接近同种叫声的合成叫声做出更频繁的逃离反应,即使其他声学特征与仙女鹪鹩叫声不同。此外,它们在听到峰值频率和频率调制率更接近自然仙女鹪鹩叫声的叫声后,会在藏身之处停留更长时间。因此,仙女鹪鹩利用特定声学特征的相似性来识别警报,并调整两阶段的防御性反应。我们的研究揭示了鸟类如何在没有经验的情况下对异性警报声做出反应,并且与使用自然叫声回放的先前工作一起表明,声学相似性和学习对于种间偷听都是重要的。更普遍地说,这项研究调和了关于在识别异性警报声时,警报信号结构和学习的重要性的相反观点。