生物多样性 ›› 2024, Vol. 32 ›› Issue (7): 24080.  DOI: 10.17520/biods.2024080  cstr: 32101.14.biods.2024080

• 技术与方法 • 上一篇    下一篇

一种基于公众科学数据的区域性鸟类多样性评价方法

顾燚芸1, 薛嘉祈1, 高金会1, 谢心仪1, 韦铭2, 雷进宇2, 闻丞1,2,*()   

  1. 1.北京镜朗生态科技有限公司, 北京 100094
    2.昆明市朱雀鸟类研究所, 昆明 650233
  • 收稿日期:2024-03-07 接受日期:2024-06-25 出版日期:2024-07-20 发布日期:2024-07-03
  • 通讯作者: *E-mail: wencheng@jinglangeco.cn
  • 基金资助:
    生态环境部生物多样性调查评估项目(2019HJ2096001006)

A public science data-based regional bird diversity assessment method

Yiyun Gu1, Jiaqi Xue1, Jinhui Gao1, Xinyi Xie1, Ming Wei2, Jinyu Lei2, Cheng Wen1,2,*()   

  1. 1. Beijing Jinglang Ecological Technology Ltd. Co, Beijing 100094, China
    2. Kunming Rosefinch Bird Research Institution, Kunming 650233, China
  • Received:2024-03-07 Accepted:2024-06-25 Online:2024-07-20 Published:2024-07-03
  • Contact: *E-mail: wencheng@jinglangeco.cn
  • Supported by:
    Biodiversity Survey and Assessment Project of the Ministry of Ecology and Environment(2019HJ2096001006)

摘要:

鸟类是理想的生物多样性指示类群。中国观鸟记录中心(以下简称“记录中心”)是目前中国最大的鸟类监测公众科学数据平台, 其记录覆盖94%的全国鸟种和94.3%的县级行政区。本研究基于公众科学数据, 参考《区域生物多样性评价标准》(HJ 623-2011)中的受胁物种丰富度指数, 构建了鸟类丰富度指数(RB_A)和珍稀濒危鸟类丰富度指数(RTB_A), 继而提出一种对区域鸟类多样性进行评价的新方法。本研究计算了自2014年起, 各省级、地级、县级行政区(不含市辖区)每年在记录中心的累积记录鸟种数对官方发布鸟种数的覆盖率和省级行政区记录的累积珍稀濒危鸟种数对官方发布数据的覆盖率, 并计算了自2018年起各级行政区每年的RB_ARTB_A, 以了解各地鸟类丰富度指数的逐年变化情况, 并分析记录中心数据集的发展趋势和两个指数的敏感性。分析结果表明, 记录中心数据对全国各级行政区的鸟种覆盖率自2014年起逐年增加, 在2023年分别有94.1%的省级、59.0%的地级和49.0%的县级行政区(不含市辖区)的鸟种覆盖率超过90%; 记录中心的累积珍稀濒危鸟种数据在省级行政区的覆盖率亦呈上升趋势, 但略低于所有鸟种覆盖率。自2020年起, 全国每年观测到的鸟种数量呈逐年增加趋势, 但其中部分省份每年观测到的鸟种总数在2022年出现下降。自2020年起, 各省级行政区的RB_ARTB_A整体呈现上升趋势。RB_A范围为0.50-0.96, RTB_A范围为0.45-0.98, 显示RTB_A更为敏感。本研究结果表明, RB_ARTB_A在本地用户提交记录数量充足的地区有较大的应用价值, 可作为生物多样性评价指标应用。RTB_A对于鸟类多样性的变化更为敏感, 更能体现在地鸟类保护状况。随着记录中心等公众科学平台的发展, 以RB_ARTB_A为代表的基于公众科学的评价指数在物种多样性评估和物种监测方面有巨大的应用潜力。

关键词: 公众科学, 鸟类, 鸟类丰富度指数, 珍稀濒危鸟类丰富度指数, 生物多样性评价

Abstract

Aims Birds serve as an ideal indicator group for assessing biodiversity. The China Bird Report is currently the largest citizen science data platform for bird monitoring in China, covering 94% of the national bird species and 94.3% of the county-level administrative regions. Leveraging public science data and referring to the threatened species richness index in the Regional Biodiversity Assessment Standards (HJ 623-2011), we have developed a methodology to construct both a bird species richness index (RB_A) and a threatened bird species richness index (RTB_A). Through this approach, we proposed a new method for assessing regional bird diversity.

Methods We calculated the cumulative recorded bird species count in each province-level, prefecture-level, and county-level administrative regions (excluding municipal districts) in the China Bird Report from 2014 onwards, aiming to assess the coverage rate of officially released bird species checklist, and the coverage rate of threatened bird species checklist at provincial level. Furthermore, we calculated the annual RB_A and RTB_A for each province-level, prefecture-level, and county-level administrative regions (excluding municipal districts) from 2018. The analysis was conducted to understand the year-by-year changes in bird species richness across different regions. Besides, we also analyzed the developmental trends of dataset of the China Bird Report and tested the sensitivity of the two indices.

Results The analysis revealed a consistent increase in the bird species coverage rate from the China Bird Report across administrative regions at all levels nationwide since 2014. By 2023, the bird species coverage had surpassed 90% in 94.1% of province-level, 59.0% of prefecture-level, and 49.0% of county-level (excluding municipal districts) administrative regions. Although the coverage of threatened bird species at provincial level also exhibited an upward trend, it slightly lagged behind the coverage of all bird species. Since 2020, there had been a steady rise in the number of bird species observed at provincial level annually, but some provinces experienced a decline in the annual bird species observed in 2022. Since 2020, The RB_A and RTB_A values of each provincial administrative region showed an overall upward trend. RB_A ranged from 0.50-0.96, RTB_A ranged from 0.45-0.98, indicating that RTB_A is more sensitive.

Conclusion The results of this study show that RB_A and RTB_A have significant application value in regions where local users submit sufficient records, and they can serve as reliable biodiversity assessment indicators. RTB_A demonstrates higher sensitivity to changes in bird diversity, effectively reflecting the conservation status of local bird populations. With the development of citizen science platforms like the China Bird Report, evaluation indices based on public science, represented by RB_A and RTB_A, hold huge potential in species diversity assessment and species monitoring endeavors.

Key words: citizen science, birds, bird species richness index, threatened bird species richness index, biodiversity assessment