生物多样性

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“SITE-100”中国样地昆虫多样性监测研究进展

孔祥飞1,2, 丁强1,3, 王国全4, 黄国华5, 田哲豪1,6, 王新谱6, 佟一杰1, 宋志顺7, 张晓宁8,9, 李卫海2, 韩辉林10, 李文亮11, 聂瑞娥12, 杨海东1,13, 杨星科1,13, 刘梅柯14, 孙永明15, 崔亚琴15, 杨美霞16, 刘宁1, 路园园1, 李盼盼1,4, 白明1,3*   

  1. 1. 中国科学院动物研究所动物多样性保护与有害动物防控全国重点实验室, 北京 100101; 2. 河南科技学院河南省昆虫分类与系统演化国际联合实验室, 河南新乡 453003; 3. 中国科学院大学, 北京 100049; 4. 广西大学农学院广西农业环境与农产品安全重点实验室植物科学国家级实验教学示范中心, 南宁 530004; 5. 湖南农业大学植物病虫害生物学与防控湖南省重点实验室, 长沙 410125; 6. 宁夏大学农学院, 银川 750021; 7. 江苏第二师范学院昆虫资源与多样性研究所, 南京 210013; 8. 青海师范大学生命科学学院, 西宁 810008; 9. 青海师范大学高原科学与可持续发展研究院, 西宁 810008; 10. 东北林业大学东北亚生物多样性研究中心, 哈尔滨 150040; 11. 河南科技大学园艺与植物保护学院, 河南洛阳 471023; 12. 安徽师范大学生命科学学院, 安徽芜湖 241000; 13. 广东省科学院动物研究所, 广州 510145; 14. 长江大学农学院, 湖北荆州, 434000; 15. 山西省林业和草原科学研究院, 太原 030012; 16. 陕西省动物研究所, 西安 710032
  • 收稿日期:2025-08-18 修回日期:2025-10-09 接受日期:2025-12-27
  • 通讯作者: 白明

Research progress of insect diversity in “SITE-100” sampling sites in China

Xiangfei Kong1,2, Qiang Ding1,3, Guoquan Wang4, Guohua Huang5, Zhehao Tian1,6, Xinpu Wang6, Yijie Tong1, Zhishun Song7, Xiaoning Zhang8,9, Weihai Li2, Huilin Han10, Wenliang Li11, Rui’e Nie12, Haidong Yang1,13, Xingke Yang1,13, Meike Liu14, Yongming Sun15, Yaqin Cui15, Meixia Yang16, Ning Liu1, Yuanyuan Lu1, Panpan Li1,4, Ming Bai1,3*   

  1. 1 State Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China 

    2 Department of Henan International Joint Laboratory of Taxonomy and Systematic Evolution of Insecta, Henan Institute of Science and Technology, Xinxiang, Henan 453003, China 

    3 University of Chinese Academy of Sciences, Beijing 100049, China 

    4 Guangxi Key Laboratory of Agro-environment and Agric-products Safety, National Demonstration Center for Experimental Plant Science Education, College of Agriculture, Guangxi University, Nanning 530004, China 

    5 Hunan Provincial Key Laboratory of Biology and Control of Plant Pests and Diseases, Hunan Agricultural University, Changsha 410125, China 

    6 School of Agriculture, Ningxia University, Yinchuan 750021, China 

    7 Institute of Insect Resources and Diversity, Jiangsu Second Normal University, Nanjing 210013, China 

    8 School of Life Sciences, Qinghai Normal University, Xining 810008, China 

    9 Academy of Plateau Science and Sustainability, Qinghai Normal University, Xining 810008, China 

    10 Northeast Forestry University, Northeast Asia Biodiversity Research Center, Harbin 150040, China 

    11 College of Horticulture and Plant Protection, Henan University of Science and Technology, Luoyang, Henan 471023, China 

    12 College of Life Sciences, Anhui Normal University, Wuhu, Anhui 241000, China 

    13 Institute of Zoology, Guangdong Academy of Sciences, Guangzhou 510145, China 

    14 College of Agriculture, Yangtze University, Jingzhou, Hubei 434000, China 

    15 Shanxi Academy of Forestry and Grassland Sciences, Taiyuan 030012, China 

    16 Shaanxi Institute of Zoology, Xi’an 710032, China

  • Received:2025-08-18 Revised:2025-10-09 Accepted:2025-12-27
  • Contact: Ming Bai

摘要: 昆虫是最大的生物类群, 近年来昆虫多样性的减少引起人们的极大关注。通过在全球定点布设长期样地, 定量评估昆虫多样性与环境之间的关系将有助于高精度刻画昆虫减少过程, 具有重要的理论意义和现实价值。本文通过对“SITE-100”中国样地目前在昆虫多样性监测方面取得的研究成果、已研发的新技术、新方法进行综述, 详细介绍了“SITE-100”样地的标准化工作流程, 以及各个新技术、新方法的特点与优势, 以期助力于中国森林生物多样性监测工作的更好开展, 推动在昆虫多样性时空分布格局评估、昆虫智能监测等方面技术标准体系的形成。

关键词: 生物多样性, 被动式采集, 新监测装备, 群落系统发育, 人工智能

Abstract

Background & Aim: Insects are the most diverse group of organisms. In recent years, the decline in insect diversity has drawn significant attention. There is an urgent need to facilitate the development of forest biodiversity monitoring and to promote the establishment of standardized technical systems for assessing insect diversity patterns and intelligent insect monitoring. 

Strategies: A quantitative assessment of the relationships between insect diversity and environmental factors, based on long-term monitoring at fixed sites worldwide, will help to accurately characterize patterns and drivers of insect diversity change. 

Summary: This paper reviews recent research achievements, as well as emerging technologies and methods for insect diversity monitoring within the “SITE-100” project in China. It also provides a detailed introduction to the standardization framework of “SITE-100” and highlights the key characteristics and advantages of each technology and method.

Key words: biodiversity, passive acquisition, new monitoring equipment, community phylogenetics, artificial intelligence