首页 | 本学科首页   官方微博 | 高级检索  
   检索      


Identification of sympatric bat species by the echolocation calls
Authors:Keping Sun  Jiang Feng  Longru Jin  Ying Liu and Yunlei Jiang
Institution:(1) Department of Environmental Science and Engineering, Northeast Normal University, Changchun, 130024, China;(2) Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110016, China;(3) Graduate School of Chinese Academy of Sciences, Beijing, 100039, China;(4) Faculty of Animal Science and Technology, Jilin Agricultural University, Changchun, 130000, China
Abstract:One hundred and thirty-eight echolocation calls of 63 free-flying individuals of five bat species (Rhinolophus ferrumequinum, Myotis formosus, Myotis ikonnikovi, Myotis daubentoni and Murina leucogaster) were recorded (by ultrasonic bat detector (D980)) in Zhi’an village of Jilin Province, China. According to the frequency-time spectra, these calls were categorized into two types: FM/CF (constant frequency) / FM (R. ferrumequinum) and FM (frequency modulated) (M. formosus, M. ikonnikovi, M. daubentoni and M. leucogaster). Sonograms of the calls of R. ferrumequinum could easily be distinguished from those of the other four species. For the calls of the remaining four species, six echolocation call parameters, including starting frequency, ending frequency, peak frequency duration, longest inter-pulse interval and shortest inter-pulse interval, were examined by stepwise discriminant analysis. The results show that 84.1% of calls were correctly classified, which indicates that these parameters of echolocation calls play an important role in identifying bat species. These parameters can be used to test the accuracy of general predictions based on bats’ morphology in the same forest and can provide essential information for assessing patterns of bat habitat use. __________ Translated from Journal of Northeast Normal University (Natural Science Edition), 2006, 38 (3): 109–114 译自: 东北师范大学学报(自然科学版)]
Keywords:bats  echolocation call  identification of species  discriminant analysis
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号