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依据回声定位声波参数判别同域栖息的蝙蝠种类
引用本文:孙克萍,冯江,金龙如,刘颖,姜云垒.依据回声定位声波参数判别同域栖息的蝙蝠种类[J].东北师大学报(自然科学版),2006,38(3):109-114.
作者姓名:孙克萍  冯江  金龙如  刘颖  姜云垒
作者单位:东北师范大学环境科学与工程系,吉林,长春,130024;中国科学院沈阳生态研究所,辽宁,沈阳,110016;中国科学院研究生院,北京,100039;吉林农业大学动物科学技术学院,吉林,长春,130118
基金项目:国家自然科学基金资助项目(30370261,30570311),新世纪优秀人才支持计划项目(NCET-04-0309),教育部重点项目(104257),吉林省杰出青年基金资助项目(20030114)
摘    要:利用超声波监听仪(D 980)在同一研究区域内记录到5种蝙蝠63个个体自然飞行状态下回声定位的叫声138次.依据声谱图可分为(FM/)CF/FM型(马铁菊头蝠Rhinolo-phus ferrumequinum)和FM型(绯鼠耳蝠Myotis formosus、伊氏鼠耳蝠Myotis ikonnikovi、水鼠耳蝠Myotis daubentoni和白腹管鼻蝠Murina leucogaster).马铁菊头蝠的声波能够比较容易地从5个种类中辨别出来.采用逐步判别分析方法对其他4种蝙蝠回声定位声波的6个参数进行了判别,结果显示,蝙蝠种类判别正确率为84.1%.表明回声定位声波参数在蝙蝠种类识别中具有重要作用,可用于检验研究区域内依据体型鉴定蝙蝠种类的准确度,也可为预测蝙蝠对生境的利用方式提供依据.

关 键 词:蝙蝠  回声定位叫声  种类识别  判别分析
文章编号:1000-1832(2006)03-0109-06
收稿时间:2006-04-19
修稿时间:2006年4月19日

Identification of bat species inhabiting the same area by analyzing the echolocation call
SUN Ke-ping,FENG Jiang,JIN Long-ru,LIU Ying,JIANG Yun-lei.Identification of bat species inhabiting the same area by analyzing the echolocation call[J].Journal of Northeast Normal University (Natural Science Edition),2006,38(3):109-114.
Authors:SUN Ke-ping  FENG Jiang  JIN Long-ru  LIU Ying  JIANG Yun-lei
Institution:1. Department of Environmental Science and Engineering,Northeast Normal University,Changchun 130024,China; 2. Institute of Applied Ecology,Chlnese Academy of Scienees,Shenyan 110015 ,China; 3. Graduate School of Chinese Academy of Sciences,Beijing 100039,China; 4. Faculty of Animal Science and Technology, Jilin Agricultural University, Changchun 130118,China
Abstract:138 echolocation calls of 63 free-flying sympatric individuals of five bat species were recorded(by ultrasonic bat detector(D 980)) and analyzed in the area of the Zhi'an village of Ji'an city in Jilin province,China.According to the frequency-time spectra,these calls were categorized into 2 types:(FM)/CF/FM(Rhinolophus ferrumequinum) and FM(Myotis formosus,Myotis ikonnikovi,Myotis daubentoni and Murina leucogaster).Sonograms of the calls of R.ferrumequinum could easily be distinguished from those of all other species.For the remaining calls,six echolocation calls parameters including call frequency,duration and inter-call interval were examined using a stepwise discriminant analysis.The results showed that 84.1% of calls were correctly classified to species which indicated that the parameters of echolocation calls played an important role in identifying bat species.The results can be used both to test the accuracy of general predictions based on bats'morphology in the same forest,and provide essential information for assessing patterns of habitat use in the field.
Keywords:bats  echolocation call  identification of species  discriminant analysis
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