Institute of Biology, University of the Philippines Diliman, Quezon City, National Capital Region, Philippines.
PeerJ. 2022 Mar 21;10:e13146. doi: 10.7717/peerj.13146. eCollection 2022.
Anthropogenic changes in the natural environment have led to alarming rates of biodiversity loss, resulting in a more urgent need for conservation. Although there is an increasing cognizance of the importance of incorporating biodiversity data into conservation, the accuracy of the inferences generated from these records can be highly impacted by gaps and biases in the data. Because of the Philippines' status as a biodiversity hotspot, the assessment of potential gaps and biases in biodiversity documentation in the country can be a critical step in the identification of priority research areas for conservation applications. In this study, we systematically assessed biodiversity data on animal and plant taxa found in the Philippines by examining the extent of metadata gaps, taxonomic biases, and spatial biases in DNA barcode data while using species occurrence data as a backdrop of the 'Philippines' biodiversity. These barcode and species occurrence datasets were obtained from public databases, namely: GenBank, Barcode of Life Data System and Global Biodiversity Information Facility. We found that much of the barcode data had missing information on either records and publishing, geolocation, or taxonomic metadata, which consequently, can limit the usability of barcode data for further analyses. We also observed that the amount of barcode data can be directly associated with the amount of species occurrence data available for a particular taxonomic group and location-highlighting the potential sampling biases in the barcode data. While the majority of barcode data came from foreign institutions, there has been an increase in local efforts in recent decades. However, much of the contribution to biodiversity documentation only come from institutions based in Luzon.
人为改变自然环境导致生物多样性丧失的速度令人震惊,这使得保护工作更加紧迫。尽管越来越认识到将生物多样性数据纳入保护措施的重要性,但这些记录产生的推论的准确性可能会受到数据中的空白和偏差的极大影响。由于菲律宾是生物多样性热点地区,因此评估该国生物多样性文献中潜在的空白和偏差,可以成为确定保护应用优先研究领域的关键步骤。在这项研究中,我们通过检查 DNA 条码数据中的元数据空白、分类学偏差和空间偏差的程度,系统地评估了菲律宾动植物类群的生物多样性数据,同时将物种出现数据作为“菲律宾生物多样性”的背景。这些条码和物种出现数据集是从公共数据库中获得的,包括:GenBank、生命条形码数据系统和全球生物多样性信息设施。我们发现,许多条码数据在记录和出版、地理位置或分类学元数据方面存在缺失信息,这反过来又限制了条码数据在进一步分析中的可用性。我们还观察到,条码数据的数量可以直接与特定分类群和位置的物种出现数据的数量相关联,突出了条码数据中的潜在采样偏差。虽然大多数条码数据来自外国机构,但近几十年来,当地的努力有所增加。然而,生物多样性文献的大部分贡献仅来自吕宋岛的机构。