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文章摘要
智能声学监测在洪泽湖湿地鸟类多样性调查中的应用
Application of Intelligent Acoustic Monitoring to Bird Diversity Surveys in Hongze Lake Wetland
  
DOI:
中文关键词: 鸟类多样性  智能声学监测  样线调查  洪泽湖湿地
英文关键词: Bird diversity  Intelligent acoustic monitoring  Transect survey  Hongze Lake wetland
基金项目:国家自然科学基金资助项目(32200407);江苏省生态环境监测科研基金资助项目(24A09)
作者单位
马士胜 江苏省环境监测中心 
李双 江苏省环境监测中心 
任诗超 江苏省生态环境监测监控有限公司 
高晓冬 曲阜师范大学 
杨昕悦 多伦多大学 
张咏 江苏省环境监测中心 
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中文摘要:
      为评估智能声学在湿地鸟类监测中的应用效果,于2024年3月—2025年2月,以洪泽湖湿地为研究区域,将智能声学监测与传统样线调查用于湿地鸟类监测,开展为期1 a的同期对比。结果表明:两种方法共记录鸟类16目48科165种,智能声学监测和样线调查分别记录115种和138种,共有物种数88种;样线调查准确性相对较高,在个体数量统计上更具优势,便于估算种群密度,适用于监测鸣叫较少且易于目视观察的类群(如雁形目、鹈形目、鹰形目);智能声学监测自动化采集并处理鸟类音频72 108条,对鸣叫频繁且隐蔽性强的鸟类识别率更高,可在物种数上作为样线调查的重要补充。
英文摘要:
      To evaluate the effectiveness of intelligent acoustic monitoring for wetland bird monitoring, this study conducted a one year concurrent comparison of intelligent acoustic monitoring and traditional transect surveys in Hongze Lake Wetland from March 2024 to February 2025.Results showed that a total of 165 bird species belonging to 16 orders and 48 families were recorded by the two methods combined. Among them,115 species were recorded by intelligent acoustic monitoring and 138 by transect surveys, with 88 species recorded by both methods. Transect surveys demonstrated relatively high accuracy and proved more advantageous for counting individuals, facilitating the estimation of population density. This method was particularly effective for monitoring taxa that vocalize less frequently and were easy to observe visually, such as Anseriformes, Pelecaniformes, and Accipitriformes. Intelligent acoustic 〖JP2〗monitoring automatically collected and processed 72 108〖JP〗 avian recordings. It achieved higher recognition rates for birds that vocalize frequently and were difficult to observe directly, and served as an important complement to transect 〖GK!87mm〗surveys in terms of the number of speciesrecorded.
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