文章摘要
刘宗君1 ,谢 勇1 ,胡明锋1 ,张亚坚1 ,王 军2 ,魏懿鑫3 ,吴林芳3 ,张 蒙3*.基于声纹监测技术的广东南岭国家级自然保护区 鸟类多样性初探[J].海南师范大学学报自科版,2025,38(4):454-459
基于声纹监测技术的广东南岭国家级自然保护区 鸟类多样性初探
Avian Diversity in Guangdong Nanling National Nature Reserve Using Vocalization Monitoring
  
DOI:10.12051/j.issn.1674-4942.2025.04.011
中文关键词: 声纹监测  鸟类多样性  区系  居留型  声学多样性
英文关键词: bioacoustic monitoring  avian diversity  zoogeography  residency pattern  acoustic indices
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作者单位
刘宗君1 ,谢 勇1 ,胡明锋1 ,张亚坚1 ,王 军2 ,魏懿鑫3 ,吴林芳3 ,张 蒙3* 1. 广东南岭国家级自然保护区管理局广东 乳源 512727 2. 广州网格智能科技有限公司广东 广州 510630 3. 广州林芳生态科技有限公司广东 广州 510630 
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中文摘要:
      以南岭国家级自然保护区为研究区域,通过声纹监测技术评估保护区的鸟类多样性。 结果显示,基于声纹监测共识别出鸟类10目32科66种,其中雀形目种类最多(43种,占监测鸟类总 种数的65.15%),鹟科(7种)和鸱鸮科(5种)为优势科;监测到国家二级保护动物14种,包括白鹇 (Lophura nycthemera)、蛇雕(Spilornis cheela)等;监测到的东洋界物种、留鸟均为48种,占据主要优 势;雀形目的鸣叫次数占总记录次数的52.48%,鹎科(32.55%)和拟啄木鸟科(28.63%)为优势科,黑 眉拟啄木鸟(32.78%)和栗背短脚鹎(29.14%)为优势种;群落声学多样性指数(H)为2.23,均匀度 (J)为0.53,其中雀形目(H=1.813)贡献最大。声纹监测技术能够揭示物种组成、分布及其声学特 征,在监测雀形目鸟类、隐蔽及夜行性鸟类(如鸱鸮科)方面具有优势。
英文摘要:
      The avian diversity of Nanling National Nature Reserve was systematically assessed using acoustic monitoring technology. The results showed that a total of 66 bird species belonging to 32 families and 10 orders were identified through acoustic monitoring. Among them, the Passeriformes order had the largest number of species (43 species, accounting for 65.15% of the total monitored bird species), and the Corvidae (7 species) and Scops-owl family (5 species) were the dominant families. Fourteen species of national second-level protected animals were detected, including the White Stork (Lophura nycthemera), the Snake Eagle (Spilornis cheela), etc. The Oriental birds and resident birds were both 48 species, occupying the main advantage. The call number of the Passeriformes order accounted for 52.48%, and the Pycnonotidae (32.55%) and the Picornithidae (28.63%) were the dominant families, while the Black-browed Piculet (32.78%) and the Chestnut-backed Short-tailed Babbler (29.14%) were the dominant species. The community acoustic diversity index (H) was 2.23, and the evenness (J) was 0.53. Among them, the Passeriformes order contributed the most (H = 1.813). The acoustic monitoring technology can reveal the species composition, distribution and acoustic characteristics, and has advantages in monitoring Passeriformes birds, as well as concealed and nocturnal birds (such as the Scops-owl family).
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