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虎皮鹦鹉(Melopsittacus undelafus)的声行为习性及其微机分析
引用本文:陈浩,常志权.虎皮鹦鹉(Melopsittacus undelafus)的声行为习性及其微机分析[J].地震研究,1994,17(3):254-263.
作者姓名:陈浩  常志权
作者单位:中国科学院生物物理研究所,河北省昌黎县地震办公室
摘    要:本文对自然条件下虎皮鹦鹉声行为观测资料,进行了微机分析,所得到的BG声行为特性很好地反映相应的自然习性,这就为地震生物观测站的BG声行为与地震关系观测资料的微机分析提供了基本方法,进而提高了动物习性异常在临震预报中的有效性,所得到的BG始鸣时和终鸣时,分别与观测站的日出和日没时呈正相关,变化速率都为0.2,即很好地反映BG声行为昼夜节律的季节变化习性。所得到的BG单次叫声,变音调叫声,单音节和多音

关 键 词:地震预报  虎皮鹦鹉  声行为  微机

THE HABITS OF ACOUSTIC BEHAVIOR IN BUDGERIGAR (Melopsittacus undelafus) AND MICROCOMPUTER ANAL YSIS
Chen Hao, Xu Muling, Tang Huan Jian,Jiang Jinchang.THE HABITS OF ACOUSTIC BEHAVIOR IN BUDGERIGAR (Melopsittacus undelafus) AND MICROCOMPUTER ANAL YSIS[J].Journal of Seismological Research,1994,17(3):254-263.
Authors:Chen Hao  Xu Muling  Tang Huan Jian  Jiang Jinchang
Abstract:The microcomputer analysis of observation data of acoustic behavior of budgeriga (BG) under natural conditions is made in this paper. Obtained characteristics of acoustic behavior of BG reflect correspondinao natural habits very well. Now, it's possible to provide a basic method of microcomputer analysis of observation data of the relationship between acoustic behavion of BG at seismobiological observation station and earthquake, and then effectiveness of impending earthquake prediction by animal abnormal habits will be raised. The beginning and ending times of BG calls each day and night present positive correlations with the sunrise and sunset time at the station respectively, and both the variation rates are 0.9, reflecting seasonal change habits of day and night rhythms of acoustic behavior of BG very well. The occupation rates of singl call, varitoned call mono-syllabic and multi-syllabic calls of BG reflect characterized behavior activities and corresponding natural habits quite well. Moreover, The interrelation among different calls of acoustic behavior of BG and their relation with weather change also are found. The acrophases of total calls show obviously seasonal change, which present the negative correlation with the beginning time and the positive correlation with the eanding time. Moreover, the acrophases of different and total calls present cetain relations and reflect the time-location characteristics of arithmetic means of different calls on each day and night.
Keywords:Abnormal animal behavior  Acoustic wave  Mode recognition  Short-impending prediction  
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