Field Museum of Natural History, Chicago, IL, United States of America.
Florida Museum of Natural History, University of Florida, Gainesville, FL, United States of America.
PLoS One. 2019 Sep 11;14(9):e0215794. doi: 10.1371/journal.pone.0215794. eCollection 2019.
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.
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,堪比历史上的灭绝事件。与此同时,新的出版方法和整合以前相互独立的数据资源的方法有望帮助提供更有效和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来为物种出现的在线数据库做出贡献。然而,估计只有 10%的生物收藏以数字形式提供。因此,生物收藏界必须继续推动数字化工作,这在一定程度上需要展示数据的引人注目的应用。我们的总体目标是确定自 2010 年以来动员物种出现数据的使用趋势,因为在线系统不断发展,现在提供了超过 10 亿条记录。为此,我们对使用公开获取的生物多样性数据库的 501 篇论文进行了特征描述。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、涉及的分类群、数据的一般用途、与物种出现数据相关联的其他数据类型以及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度,概述数据编制和出版,并协助制定物种清单或描述新物种。我们数据集的论文中只有 69% 涉及一个或多个数据质量方面,考虑到机会主义数据集已知存在的常见错误和偏差,这一比例很低。在全球范围内,我们发现生物多样性数据库仍处于数据编制的初始阶段。新颖和综合应用仅限于具有更多高质量记录的特定分类群和地区。为了使生物多样性科学在我们快速变化的环境中更加高效和相关,需要继续进行数据数字化、出版、增强和质量控制工作。