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八种菊头蝠回声定位声波频率与体型的相关性 被引量:17

RELATIONSHIP BETWEEN ECHOLOCATION FREQUENCY AND BODY SIZE IN EIGHT SPECIES OF HORSESHOE BATS(RHINOLOPHIDAE)
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摘要 The relationship between echolocation frequency (represented by dominant frequency, DF for short) and body size (body mass, forearm length and body length) in 8 species of horseshoe bats ( Rhinolophus cornutus, R. affinis, R. thomasi, R. rouxi, R. blythii, R. ferrumequinum, R. pearsoni, R. rex ) was examined. The eight species were captured in caves in five regions (Guiyang, Anlong, Xingyi, Anshun and Zhenning) of Guizhou Province in July and August 1999 and June 2000. The species were identified based on the descriptions in Mammals of GuiZhou (Luo et al .)and Key to the Identification of Chiroptera (Wang, unpublished). The bats were captured at the entrance to the caves at about 8 pm (the time when bats usually leave the caves), and were then put into a recording room near the capture locations where they could fly freely. Recordings of their echolocation calls were made bout 2 hours later using an ultra sound detector (U30, Ultra Sound Advice, UK) which recorded the calls of bats that were flying directly at the microphone at a distance of 1 m. Each bat was recorded 5 times and the signals were fed into a portable ultra sound processor (PUSP, Ultra Sound Advice, UK). The duration for recording was 1 1 s with a sampling frequency of 44 1 kHz. By replaying the recorded tapes the best quality recordings (the loudest and clearest with the least background noise) were replayed at 1/10 speed and re recorded using a digital sound recorder (Sony, MD 1, frequency response range: 30~20 000 Hz). The re recorded echolocation signals were analyzed using the sound processing software Cool Edit 2000, developed by the American Syntrillium Software Company. Ultra sound analysis referred to the sound spectrograms (frequency time graph), time domain spectrograms (energy time graph), energy spectrograms (energy frequency graph), and Hanning window to obtain an analytic precision of 256 Hz. The analysis attenuation was 60 dB. The DF, pulse duration and interpulse interval of the echolocation calls were recorded and the duty cycle, which represents the percentage of the pulse duration in the summation of the pulse duration and the interpulse interval, was calculated. The data are presented as +SD . Body size were measured using a vernier caliper and a balance; all measurements are presented as +SD. When flying, all eight species of bats had similar echolocation signals: the pattern of their echolocation calls was (FM ) CF FM (FM means Frequency modulated; CF means Constant frequency) with 1~2 harmonics. Pulse duration was more than 10 ms, the duty cycle was higher than 40%, the dominant frequency mainly concentrated on the CF part from 25 kHz to 120 kHz. The different species did, however, display different FM widths. Pearson (one of analytical methods in the software SPSS 10 0) was adopted to analyze the correlation between dominant frequency and body size. An obvious negative correlation was found between echolocation frequency and body size in horseshoe bats. The correlation coefficient of DF against forearm length was r=-0 714 (P=0 047; df=6) , DF against body mass r= -0 429 (P=0 289; df=6) and DF against body length r=-0 810 (P=0 015, df=6) . The dominant frequency was higher in smaller species. The species order in terms of dominant frequencies (highest to lowest) was: Rhinolophus cornutus>R. thomasi>R. rouxi>R. blythi>R.ferrumequinum>R. pearsoni>R. affinis>R. rex. The order of forearm length from top to bottom was: Rhinolophus pearsomi>R. rex>R. ferrumequinum>R. affinis>R. thomasi>R. rouxi>R. cornutus>R. blythi. The negative correlation between the dominant frequency and body size was not very strong, presumably a reflection of the influence of factors such as ecological competition and morphological and physiological features other than body size on echolocation calls. Divergence in echolocation calls allows bat species of similar body size to avoid competition with each other. The relationship between dominant frequency and body size probably occurs because the wave length of The relationship between echolocation frequency (represented by dominant frequency, DF for short) and body size (body mass, forearm length and body length) in 8 species of horseshoe bats ( Rhinolophus cornutus, R. affinis, R. thomasi, R. rouxi, R. blythii, R. ferrumequinum, R. pearsoni, R. rex ) was examined. The eight species were captured in caves in five regions (Guiyang, Anlong, Xingyi, Anshun and Zhenning) of Guizhou Province in July and August 1999 and June 2000. The species were identified based on the descriptions in Mammals of GuiZhou (Luo et al .)and Key to the Identification of Chiroptera (Wang, unpublished). The bats were captured at the entrance to the caves at about 8 pm (the time when bats usually leave the caves), and were then put into a recording room near the capture locations where they could fly freely. Recordings of their echolocation calls were made bout 2 hours later using an ultra sound detector (U30, Ultra Sound Advice, UK) which recorded the calls of bats that were flying directly at the microphone at a distance of 1 m. Each bat was recorded 5 times and the signals were fed into a portable ultra sound processor (PUSP, Ultra Sound Advice, UK). The duration for recording was 1 1 s with a sampling frequency of 44 1 kHz. By replaying the recorded tapes the best quality recordings (the loudest and clearest with the least background noise) were replayed at 1/10 speed and re recorded using a digital sound recorder (Sony, MD 1, frequency response range: 30~20 000 Hz). The re recorded echolocation signals were analyzed using the sound processing software Cool Edit 2000, developed by the American Syntrillium Software Company. Ultra sound analysis referred to the sound spectrograms (frequency time graph), time domain spectrograms (energy time graph), energy spectrograms (energy frequency graph), and Hanning window to obtain an analytic precision of 256 Hz. The analysis attenuation was 60 dB. The DF, pulse duration and interpulse interval of the echolocation calls were recorded and the duty cycle, which represents the percentage of the pulse duration in the summation of the pulse duration and the interpulse interval, was calculated. The data are presented as +SD . Body size were measured using a vernier caliper and a balance; all measurements are presented as +SD. When flying, all eight species of bats had similar echolocation signals: the pattern of their echolocation calls was (FM ) CF FM (FM means Frequency modulated; CF means Constant frequency) with 1~2 harmonics. Pulse duration was more than 10 ms, the duty cycle was higher than 40%, the dominant frequency mainly concentrated on the CF part from 25 kHz to 120 kHz. The different species did, however, display different FM widths. Pearson (one of analytical methods in the software SPSS 10 0) was adopted to analyze the correlation between dominant frequency and body size. An obvious negative correlation was found between echolocation frequency and body size in horseshoe bats. The correlation coefficient of DF against forearm length was r=-0 714 (P=0 047; df=6) , DF against body mass r= -0 429 (P=0 289; df=6) and DF against body length r=-0 810 (P=0 015, df=6) . The dominant frequency was higher in smaller species. The species order in terms of dominant frequencies (highest to lowest) was: Rhinolophus cornutus>R. thomasi>R. rouxi>R. blythi>R.ferrumequinum>R. pearsoni>R. affinis>R. rex. The order of forearm length from top to bottom was: Rhinolophus pearsomi>R. rex>R. ferrumequinum>R. affinis>R. thomasi>R. rouxi>R. cornutus>R. blythi. The negative correlation between the dominant frequency and body size was not very strong, presumably a reflection of the influence of factors such as ecological competition and morphological and physiological features other than body size on echolocation calls. Divergence in echolocation calls allows bat species of similar body size to avoid competition with each other. The relationship between dominant frequency and body size probably occurs because the wave length of ech
出处 《动物学报》 SCIE CAS CSCD 北大核心 2002年第6期819-823,共5页 ACTA ZOOLOGICA SINICA
基金 国家自然科学基金 (3 0 0 70 10 8)~~
关键词 菊头蝠 回声定位声波频率 体型 相关性 Horseshoe bats(Rhinolophidae), Echolocation frequency, Body Size, Relationship
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参考文献13

  • 1Arita, H. T. and M. B. Fenton 1997 Flight and echolocation in the ecology and evolution of bats. Tree 12 (2) : 53~58.
  • 2冯江,张树义,李振新,盛连喜,王立新.马铁菊头蝠不同行为下的回声定位叫声[J].动物学报,2000,46(2):230-232. 被引量:17
  • 3Feng, J. , Z. X. Li, M. Chen, J. Zhou, H. H. Zhao and S. Y. Zhang 2002 Echolocation comparison and ecological niche differentiation of five species of bats in the same.cave.ActaEcologica Sinica 22(2):11-16.[冯江,李振新,陈敏,周江,赵辉华,张树义2002同一山洞中五种蝙蝠回声定位比较及生态位分化.生态学报22(2):11-16.]
  • 4Francis, C. M. and J. Habersetzer 1998 Interspecific and intraspecific variation in echolocation call frequency and morphology of horseshoe bats,Rhinolophus and Hipposederos. In: Kunz, T. H. and P. A. Racey ed. Bat: Biology and Conservation. Washington: Smithsonian Institution Press, 169~ 179.
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  • 6Jones, G. and J. M. V. Rayner 1991 Flight performance, foraging tactics and echolocation in the trawling insectivorous bat Myotis adversus (Chiroptera: Vespertilionidae). J. Zool. Lond. 225: 393~412.
  • 7Jones, G. and T. Kokurewicz 1994 Sex and age variation in echolocation calls and flight morphology of Daubenton's bats Myotis daubentonii.Mammalia 58 (1): 41~50.
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  • 9Jones, G, T. Gordon and J. Nightingale 1992 Sex and age differences in the echolocation calls of the lesser horseshoe bat, Rhinolophus hipposideros. Mammalia. 56 (2): 189~193.
  • 10梁智明 见: 罗蓉 谢家骅 辜永河 等主编.翼手目[A].见: 罗蓉,谢家骅, 辜永河,等主编.贵州省兽类志[C].贵阳: 贵州科技出版社,1993.110.

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