University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA.
J Acoust Soc Am. 2010 Aug;128(2):919-23. doi: 10.1121/1.3455835.
Bats' echolocation signals have been shown to be situation-, colony-, and individual-specific, but whether or not these findings apply to bats' communication signals is not fully understood. The primary goal of this study was to test the hypothesis that the communication calls of adult little brown bats (Myotis lucifugus) are individual specific. Bats were paired to form focal pairs from June 2007 to August 2008. Each bat's vocalizations were recorded on a PC-based digital recorder with a custom made ultrasonic microphone. The vocal signals were first classified using a previously established classification scheme. Three acoustic parameters (the minimum and maximum frequencies, and the call duration) of two of the dominant call-types, the steep-FM and broadband noise bursts, of individual bats were further analyzed. Discriminant function analysis, and multi- and univariate analyses of variance of these parameters revealed that these vocal signals were individually distinct and likely contain individual signatures to allow bats to identify individuals acoustically.
蝙蝠的回声定位信号已被证明具有情境特异性、群体特异性和个体特异性,但这些发现是否适用于蝙蝠的通讯信号还不完全清楚。本研究的主要目的是检验成年小褐蝠(Myotis lucifugus)通讯叫声具有个体特异性的假设。2007 年 6 月至 2008 年 8 月,蝙蝠配对形成焦点对。每只蝙蝠的叫声都用基于 PC 的数字录音机和一个定制的超声麦克风进行记录。声音信号首先使用先前建立的分类方案进行分类。对个体蝙蝠的两种主要叫声类型(陡调频和宽带噪声爆发)的三个声学参数(最小和最大频率以及叫声持续时间)进行了进一步分析。判别函数分析以及这些参数的多元和单变量方差分析表明,这些声音信号是个体独特的,并且可能包含个体特征,使蝙蝠能够通过声学识别个体。