基于鸣声模型的云南柳莺地理种群关系分析

将录自北京、甘肃、四川和陕西7个地区共117段云南柳莺(Phylloscopus yunnanensis)的鸣唱样本分别提取短时特征Mel倒谱系数(MFCC),利用系统聚类方法,构建云南柳莺不同地理种群鸣声特征之间的树状关系图,并对云南柳莺地理鸣声差异产生机制的可能因素(地理距离、海拔等)进行探讨。这是基于鸣声短时特征的物种识别在研究同一物种不同地理种群关系中的首次尝试。结果显示,其鸣声地理差异与距离之间没有显著相关性(Pearson,r=﹣0.036,P=0.762,n=117),但与海拔存在显著的相关性(Pearson,r=﹣0.836,P0.001,n=117)。

Geographic Population Relationship Analysis of Chinese Leaf Warbler (Phylloscopus yunnanensis) Based on Acoustic Model

The short time feature Mel frequency cepstral coefficients (MFCC) were extracted (for the process,see Fig.2) from 117 sound samples of Chinese leaf warbler (Phylloscopus yunnanensis),which were collected from 7 regions in Beijing,Gansu,Sichuan and Shaanxi (Table 1,Fig.1).Then we constructed the cluster tree (Table 2,Fig.3) of the sound characteristics of different geographic populations by using pattern recognition method.Finally,we discussed the mechanism of geographical variations in songs of Chinese leaf warbler.The results showed that there were no significant differences between MFCC feature of the songs and their distances or habitats (Pearson,r =-0.036,P =0.762,n =117).However,the sound of Chinese leaf warbler and altitude showed significant differences (Pearson,r =-0.836,P ＜ 0.001,n =117).This is the first attempt for geographic population relationship based on short time feature of sound of birds.