Université de Saint-Etienne, Equipe Neuro-Ethologie Sensorielle, ENES/CNPS, CNRS UMR 8195, 23 rue Paul Michelon, 42023 Saint-Etienne cedex 2, France.
J Fish Biol. 2012 Apr;80(4):752-66. doi: 10.1111/j.1095-8649.2012.03222.x. Epub 2012 Mar 2.
Sounds produced by male cichlids Metriaclima zebra during aggressive interactions were recorded to conduct a detailed analysis and to search for potential individual acoustic signatures. Fish from two different size groups (small and large individuals) were analysed. The two groups were significantly different for all acoustic variables considered; six of seven features demonstrated a significant interindividual variability and most of them were correlated with the size of the emitter. A cross-validated and permuted discriminant function analysis (pDFA) separated the two groups and correctly classified around 50% of the sounds to the correct individuals. Acoustic features that best distinguished among males were the instantaneous frequency of sounds and the modulation of pulse amplitude. These results suggest that acoustic signals could bear information about individual identity. The long-term stability of this signature is likely to be weak since the signature of a growing individual may change over time.
雄性慈鲷 Metriaclima zebra 在攻击性互动中产生的声音被记录下来,以便进行详细分析并寻找潜在的个体声学特征。分析了来自两个不同大小群体(小个体和大个体)的鱼类。这两个群体在所有考虑的声学变量上都有显著差异;七个特征中的六个表现出显著的个体间可变性,其中大多数与发射器的大小相关。经过交叉验证和随机置换判别函数分析(pDFA),可以将这两个群体分开,并且大约有 50%的声音能够正确地分类到正确的个体。能够区分雄性的最佳声学特征是声音的瞬时频率和脉冲幅度的调制。这些结果表明,声学信号可能包含个体身份的信息。由于个体的特征可能随时间而变化,因此这种特征的长期稳定性可能很弱。