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相关概念视频

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Habitat fragmentation describes the division of a more extensive, continuous habitat into smaller, discontinuous areas. Human activities such as land conversion, as well as slower geological processes leading to changes in the physical environment, are the two leading causes of habitat fragmentation. The fragmentation process typically follows the same steps: perforation, dissection, fragmentation, shrinkage, and attrition.
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Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
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一个用于从Facebook收集生物多样性数据的协议.

Shawan Chowdhury1,2,3,4, Sultan Ahmed5, Shofiul Alam5

  • 1Institute of Biodiversity, Friedrich Schiller University Jena, Jena, Germany.

Conservation biology : the journal of the Society for Conservation Biology
|March 28, 2024
PubMed
概括

社交媒体平台可以通过提供有价值的物种分布数据来帮助填补生物多样性知识缺口. 从Facebook群组中提取这些数据的新标准化方法为研究人员提供了一种实际的解决方案.

关键词:
孟加拉国 孟加拉国 孟加拉国 是一个脸书 脸书 脸书 脸书华莱士是一个缺口.公民科学 公民科学公民科学是公民科学.合作 巨大的 巨大的众包 (crowdsourcing) 是一种众包方式.在赤字 wallaceanoanoano.生态学 在生态学.超级多样化的国家.这些国家非常多样化.社交网络 社交网络社交媒体 社交媒体热带地区热带地区热带地区的热带地区

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科学领域:

  • 生物多样性研究的研究.
  • 公民科学是公民科学.
  • 数据科学是数据科学.

背景情况:

  • 社区科学平台增加了生物多样性数据,但物种分布的知识仍然不完整.
  • 社交媒体数据为弥合全球生物多样性知识差距提供了一个潜在的解决方案.
  • 目前收集社交媒体生物多样性数据的现有方法缺乏标准化.

研究的目的:

  • 从可访问的Facebook群组中提取物种分布记录的标准化方法的设计和介绍.
  • 解决缺乏在生物多样性研究中利用社交媒体数据的实际指导方针的问题.
  • 通过孟加拉国的案例研究来证明这种方法的实用性.

主要方法:

  • 开发了一个三步框架:组选择,数据提取和地理引用.
  • 该方法涉及对关键词进行结构化,搜索物种照片和地理引用位置.
  • 在整个提取过程中都遵循了数据隐私和数据保护的保障措施.

主要成果:

  • 从孟加拉国Facebook群组中提取了967个物种的近45,000个独特的地理引用记录.
  • 观察到每种物种平均有27个记录.
  • 12%的数据涉及危物种,并获得了56种数据缺陷物种的数据.

结论:

  • 当使用标准化方法仔细收集社交媒体数据时,可以显著减少全球生物多样性知识差距.
  • 拟议的框架为研究人员提供了一种实用的方法,以获取有价值的生物多样性信息.
  • 开发用于社交媒体生物多样性数据提取和解释的自动化工具是关键的研究重点.