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作 者:夏灿玮[1] 黄蓉[1] 韦嫦春[1] 聂频文[1] 张雁云[1]
出 处:《Chinese Birds》2011年第3期132-139,共8页中国鸟类(英文版)
基 金:supported by National Natural Science Foundation of China(No.J0830630/J0106)
摘 要:We analyzed the songs of the Asian Stubtail (Urosphena squameiceps),a migratory passerine that breeds in northeast Asia.The possibility of individual identification of this species by songs was examined in a population in northern China during the breeding season of 2010.Individuality was determined using discriminant function analysis,artificial neural networks and spectrographic cross-correlation.Our results show that,the rate of correct classification is satisfactory in this species,regardless of methods.From an applied perspective,spectrographic cross-correlation is most suitable.Besides its maximum rate of correct classification (89.4%),it does not require measurements of spectrograms,which is a necessity other methods and may introduce artificial errors.We hope that our result of individual identification on the basis of acoustic signals may open up a new research venue for this species.做为非损伤、低干扰的鸟类标记方法,利用鸣声来识别个体在鸟类数量监测、行为分析、生活史研究等领域都有着广泛的应用前景。2010年我们在北京小龙门地区野外工作期间录制了8只占有领域的鳞头树莺(Urosphena squameiceps)的鸣声。每个个体截取20段鸣声,分别利用判别分析,神经网络算法和语图比较方法进行个体识别,都获得了较高的正确率(>70.0%)。其中,语图比较方法的正确率最高(89.4%),且该方法不需要测量鸣声的参数,避免了人为的测量误差,在鳞头树莺的个体识别中最具适用性。并指出基于鸣声的鸟类个体识别在夜行性、灌丛生活的鸟类监测中具有很好的应用前景。
关 键 词:Asian Stubtail(Urosphena squameiceps) bird song individual identification
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