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相关概念视频

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Biodiversity describes the variety of living things at multiple organizational levels: genetic, species and ecosystem diversity. Species diversity includes all branches of the evolutionary tree from single-celled prokaryotic organisms, bacteria, and archaea, to the eukaryotic kingdoms: plants; animals; fungi; and protists. To date, there have been about 1.75 million species identified, and new species are discovered every week.
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There have been five major extinction events throughout geological history, resulting in the elimination of biodiversity, followed by a rebound of species that adapted to the new conditions. In the current geological epoch, the Holocene, there is a sixth extinction event in progress. This mass extinction has been attributed to human activities and is thus provisionally called the Anthropocene. In 2019 the human population reached 7.7 billion people and is projected to comprise 10 billion by...
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相关实验视频

Updated: Jan 9, 2026

A Concoction Pipeline for Generating Molecular Operational Taxonomic Units (MOTUs) Among Riparian and Aquatic Beetles
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全球聚合的生物多样性数据对预测性和描述性研究产生影响.

Dirk Steinke1, Birgit Gemeinholzer2, Enrique Martínez-Meyer3

  • 1Centre for Biodiversity Genomics, University of Guelph, Guelph, ON N1G 2W1, Canada.

Proceedings of the National Academy of Sciences of the United States of America
|December 9, 2025
PubMed
概括

全球生物多样性信息设施 (GBIF) 越来越多地被世界各地的研究人员使用. 它的开放生物多样性数据支持关键的环境评估和多样化的研究,突出了不断发展的数据基础设施的需要.

关键词:
在GBIFGBIF的基础上,我们可以文献学分析 文献学分析数据基础设施数据基础设施数据基础设施机器学习是机器学习.事件记录发生的记录.

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科学领域:

  • 生物多样性信息学 生物多样性信息学
  • 环境科学 环境科学
  • 进化生物学 进化生物学

背景情况:

  • 全球生物多样性信息设施 (GBIF) 是生物多样性信息的主要全球数据集成商.
  • GBIF数据对于生物多样性和进化科学研究至关重要.
  • 使用生物多样性数据进行全球环境评估的需求越来越大.

研究的目的:

  • 分析过去五年全球生物多样性信息设施 (GBIF) 的增长和使用模式.
  • 展示全球科学界如何利用开放生物多样性数据进行研究.
  • 了解使用GBIF数据的研究主题,数据集和分析方法的多样化.

主要方法:

  • 对12193项利用GBIF介导数据的研究进行了文献分析.
  • 研究主题,数据类型和分析方法的分类.
  • 在五年时间内跟踪GBIF数据的增长和参与.

主要成果:

  • 由于全球环境评估,研究人员对GBIF数据的参与度增加.
  • 种类分布建模的普遍性和对人类纪挑战的研究 (保护,气候变化,入侵物种).
  • 大量使用观测数据,包括公民科学数据,并对相关数据集和分析方法进行多样化.

结论:

  • 在当代生物多样性研究和全球环境评估中,GBIF数据起着至关重要的作用.
  • 使用GBIF数据的研究的专题和方法多样化强调了其日益增长的重要性.
  • 科学需求的快速发展需要不断开发像GBIF这样的数据基础设施,以保持相关性.