生物多样性

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基于微型摄像机与粪便DNA宏条形码技术的红嘴相思鸟雏鸟食物多样性

刘湘逸1, 鲜雅雯1, 邓子为1, 李坤厚1, 孔觉2, 周平2, 宋凤1*, 张志强1*   

  1. 1.中南林业科技大学野生动植物保护研究所, 长沙 410004; 2. 湖南浏阳大围山省级自然保护区管理所, 湖南浏阳 410309
  • 收稿日期:2026-05-13 修回日期:2026-08-04 接受日期:2026-09-07
  • 通讯作者: 张志强

Dietary diversity of Leiothrix lutea nestlings based on miniature cameras and fecal DNA metabarcoding

Xiangyi Liu1, Yawen Xian1, Ziwei Deng1, Kunhou Li1, Jue Kong2, Ping Zhou2, Feng Song1*, Zhiqiang Zhang1*   

  1. 1.Institute of Wildlife Protection, Central South University of Forestry and Technology, Changsha 410004, China 

    2.Daweishan Provincial Nature Reserve, Liuyang, Hunan 410309, China

  • Received:2026-05-13 Revised:2026-08-04 Accepted:2026-09-07
  • Contact: Zhiqiang Zhang

摘要: 开展鸟类食性研究不仅是理解鸟类习性的基础, 更是解析鸟类生态适应与繁殖成功的重要环节。红嘴相思鸟(Leiothrix lutea)是国家二级重点保护野生动物和我国南方林区常见的食虫益鸟, 其繁殖期育雏行为隐蔽, 雏鸟的食物组成及其多样性难以被传统观测方法全面精确地掌握。本文于2025年4–9月在湖南浏阳大围山省级自然保护区, 运用微型摄像机连续监测红嘴相思鸟亲鸟育雏过程, 并通过粪便DNA宏条形码技术对雏鸟粪样进行检测。结果显示, 通过视频监测共记录274次有效喂食过程, 识别出11目无脊椎动物, 其中直翅目(29.45%)、螳螂目(21.36%)和半翅目(19.42%)为频次最高的类群; DNA宏条形码测序检测出12目无脊椎动物, 其中鳞翅目(51.32%)和半翅目(37.17%)占序列丰度优势。两种方法在目级水平上的Sørensen相似性指数为0.609, 测序数据的Shannon多样性(3.386)明显高于视频监测数据(1.61), 说明单一方法存在检测盲区。研究表明, 红嘴相思鸟雏鸟食谱由大体型猎物和小体型猎物共同构成, 前者提供能量基础, 后者保障食物供给的多样性与稳定性。同时, 研究进一步表明微型摄像机与粪便DNA宏条形码技术在食性分析中具有互补性, 联合使用可获得更全面的食物组成信息, 为后续食性研究提供了可靠的技术保障。

关键词: 红嘴相思鸟, 雏鸟食物, 物种多样性, 微型摄像机, DNA宏条形码

Abstract

Aims: Avian dietary studies are fundamental not only for understanding life-history traits but also for elucidating ecological adaptation and reproductive success. The red-billed leiothrix (Leiothrix lutea), a national second-class key protected species in China and a common insectivorous bird in the forests of southern China, exhibits highly secretive nesting and provisioning behavior during the breeding season. Consequently, the diet composition and diversity of its nestlings remain difficult to characterize accurately and comprehensively using conventional observational methods. This study aimed to assess the nestling diet of this species by integrating miniature camera monitoring with fecal DNA metabarcoding, and to evaluate the complementarity and respective limitations of the two approaches. 

Methods: Fieldwork was conducted from April to September 2025 in the Daweishan Provincial Nature Reserve, Liuyang, Hunan Province. Miniature cameras were deployed at active nests to continuously record parental provisioning behavior in a non-intrusive manner, and valid feeding events with identifiable prey items were extracted from the footage. Meanwhile, fresh nestling fecal samples were collected and subjected to DNA metabarcoding targeting the mitochondrial cytochrome c oxidase subunit I (COI) gene. Dietary composition obtained from the two methods was compared using the Sørensen similarity index and the Shannon diversity index. 

Results: Video monitoring recorded 274 valid feeding events and identified 11 invertebrate orders, with Orthoptera (29.45%), Mantodea (21.36%) and Hemiptera (19.42%) ranking highest in feeding frequency. DNA metabarcoding detected 12 invertebrate orders, with Lepidoptera (51.32%) and Hemiptera (37.17%) dominating the sequence relative abundance. The Sørensen similarity index between the two methods at the order level was 0.609, indicating moderate overlap. The Shannon diversity derived from sequencing data (3.386) was markedly higher than that from video monitoring (1.61), demonstrating that either method alone has inherent detection blind spots. 

Conclusions: The nestling diet of the Red-billed Leiothrix consists of both large-bodied and small-bodied prey: the former provide the energetic foundation, while the latter ensure dietary diversity and the stability of food provisioning. Miniature cameras and fecal DNA metabarcoding are highly complementary in dietary analysis—video monitoring excels at recording feeding behavior and identifying large, morphologically distinct prey, whereas metabarcoding is more sensitive to small, soft-bodied or highly digested prey. Their combined application yields more comprehensive dietary information and provides a reliable technical framework for future avian dietary studies.

Key words: red-billed leiothrix, nestling diet, species diversity, miniature camera, DNA metabarcoding