文献类型：期刊文献

中文题名：鸟类监测技术现状与发展趋势

英文题名：Current Status and Development Trend of Bird Diversity Monitoring Technology

作者：孙戈[1] 曾立雄[1] 钱法文[1] 江泽平[1]

第一作者：孙戈

机构：[1]中国林业科学研究院森林生态环境与自然保护研究所,北京100091

年份：2022

卷号：29

期号：6

起止页码：26-29

中文期刊名：地理信息世界

外文期刊名：Geomatics World

收录：CSTPCD

语种：中文

中文关键词：鸟类多样性;鸟类环志;自动监测技术

外文关键词：bird diversity;bird banding;automatic monitoring technology

分类号：P2;X1

摘要：鸟类的生物学特性使其成为最易监测的陆生动物类群之一。由于对环境变化敏感,鸟类多样性也是环境质量监测的重要指标。常规监测需要专业技术人员前往野外进行调查,通常的监测方法包括样线法、样点法、鸟类环志以及挖掘公民科学数据库。但人工监测受时间和人力所限。自动相机技术对于大中型鸟类监测非常有效,但难以用于小型鸟类的监测。自动录音装置更适于雀形目鸟类的多样性监测。不过在获取大量影像和声音数据后,对于鸟类物种的自动识别技术,目前尚不完善,仍需依赖人工识别。对鸟类多样性野外数据的自动记录和传输,以及对鸟类物种的自动判别,是鸟类多样性监测技术的未来发展方向。
The biological characters of birds are unique,which makes it easy to monitor this terrestrial animal group.Due to its sensitivity to environmental changes,bird diversity is also an important indicator for environmental quality monitoring.The customary monitoring method requires professional personnel to go to the field and use transect lines or plots to count birds,conduct bird banding,or extract data from citizen science databases.However,the customary monitoring methods suffer from the limitation of time and logistics.The camera-traps,which are used for large mammal monitoring originally,are proved to be very effective to monitor large and medium-sized birds,but unsuitable to small birds.The automatic sound recording devices are more suitable for passerine diversity monitoring.After we obtain a large number of images and sound data,since the automatic species identification technology is yet to be developed,manual identification is still needed.Therefore,the automatic recording and transferring of bird biodiversity field data,and the automatic identification of bird species,is the future development trends of bird monitoring technologies.