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Research applications of primary biodiversity databases in the digital age

机译:数字时代初级生物多样性数据库的研究应用

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摘要

Our world is in the midst of unprecedented change—climate shifts and sustained, widespread habitat degradation have led to dramatic declines in biodiversity rivaling historical extinction events. At the same time, new approaches to publishing and integrating previously disconnected data resources promise to help provide the evidence needed for more efficient and effective conservation and management. Stakeholders have invested considerable resources to contribute to online databases of species occurrences. However, estimates suggest that only 10% of biocollections are available in digital form. The biocollections community must therefore continue to promote digitization efforts, which in part requires demonstrating compelling applications of the data. Our overarching goal is therefore to determine trends in use of mobilized species occurrence data since 2010, as online systems have grown and now provide over one billion records. To do this, we characterized 501 papers that use openly accessible biodiversity databases. Our standardized tagging protocol was based on key topics of interest, including: database(s) used, taxa addressed, general uses of data, other data types linked to species occurrence data, and data quality issues addressed. We found that the most common uses of online biodiversity databases have been to estimate species distribution and richness, to outline data compilation and publication, and to assist in developing species checklists or describing new species. Only 69% of papers in our dataset addressed one or more aspects of data quality, which is low considering common errors and biases known to exist in opportunistic datasets. Globally, we find that biodiversity databases are still in the initial stages of data compilation. Novel and integrative applications are restricted to certain taxonomic groups and regions with higher numbers of quality records. Continued data digitization, publication, enhancement, and quality control efforts are necessary to make biodiversity science more efficient and relevant in our fast-changing environment.
机译:我们的世界正处于前所未有的变化之中,气候变化和持续,广泛的栖息地退化导致生物多样性急剧下降,与历史性灭绝事件相抗衡。同时,发布和集成以前断开连接的数据资源的新方法有望帮助提供更有效的保护和管理所需的证据。利益相关者投入了大量资源,为物种事件在线数据库做出了贡献。但是,估计表明只有10%的生物馆藏可以数字形式获得。因此,生物收集界必须继续促进数字化工作,这在一定程度上要求证明数据的引人注目的应用。因此,我们的总体目标是确定自2010年以来使用的动员物种发生数据的趋势,因为在线系统已经发展壮大,现在提供了超过十亿条记录。为此,我们对501篇论文进行了表征,这些论文使用了可公开访问的生物多样性数据库。我们的标准化标记协议基于感兴趣的关键主题,包括:使用的数据库,已解决的分类单元,数据的一般用途,与物种发生数据链接的其他数据类型以及已解决的数据质量问题。我们发现,在线生物多样性数据库最常见的用途是估计物种分布和丰富程度,概述数据的汇编和发布以及协助制定物种清单或描述新物种。我们数据集中只有69%的论文解决了数据质量的一个或多个方面,考虑到机会性数据集中存在的常见错误和偏见,这一数据很低。在全球范围内,我们发现生物多样性数据库仍处于数据汇编的初始阶段。新的和集成的应用程序仅限于某些具有更高质量记录数量的生物分类群和地区。要使生物多样性科学在我们瞬息万变的环境中更加有效和相关,就必须继续进行数据数字化,出版,增强和质量控制工作。

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