Sharkipedia: A Curated Open Access Database of Shark and Ray Life History Traits and Abundance Time-series

This dataset represent the intial launch of Sharkipedia: a curated open access database of shark and ray life history traits and abundance time-series. A curated database of shark and ray biological data is increasingly necessary both to support fisheries management and conservation efforts, and to test the generality of hypotheses of vertebrate macroecology and macroevolution. Sharks and rays are one of the most charismatic, evolutionary distinct, and threatened lineages of vertebrates, comprising around 1,250 species. To accelerate shark and ray conservation and science, we developed Sharkipedia as a curated open-source database and research initiative to make all published biological traits and population trends accessible to everyone. Sharkipedia hosts information on 58 life history traits from 264 sources, for 170 species, from 39 families, and 12 orders related to length (n=9 traits), age (8), growth (12), reproduction (19), demography (5), and allometric relationships (5), as well as 871 population time-series from 202 species. Sharkipedia relies on the backbone taxonomy of the IUCN Red List and the bibliography of Shark-References. Sharkipedia has profound potential to support the rapidly growing data demands of fisheries management, international trade regulation as well as anchoring vertebrate macroecology and macroevolution.本数据集标志着Sharkipedia的首次发布：这是一款经人工甄选的开放获取数据库，收录鲨类与鳐类的生活史性状（life history traits）及种群丰度时间序列（abundance time-series）数据。当前，构建经人工甄选的鲨类与鳐类生物数据数据库的需求日益迫切，这既可支撑渔业管理与保护工作，也可用于验证脊椎动物宏生态学与宏演化假说的普适性。鲨类与鳐类是脊椎动物中极具公众吸引力、演化独特且受威胁程度最高的类群之一，目前已知物种约1250种。为推动鲨类与鳐类的保护工作及相关科研发展，我们打造了Sharkipedia这一经人工甄选的开源数据库及研究项目，旨在向所有群体开放所有已发表的生物性状与种群趋势数据。Sharkipedia收录了来自264份文献源的58项生活史性状数据，覆盖12个目、39个科的170个物种，相关数据类别包括体长（9项性状）、年龄（8项）、生长（12项）、繁殖（19项）、种群统计学（demography，5项）以及异速生长关系（allometric relationships，5项）；此外还包含202个物种的871条种群时间序列（population time-series）数据。Sharkipedia依托世界自然保护联盟红色名录（IUCN Red List）的核心分类体系，以及Shark-References的参考文献库进行搭建。Sharkipedia具备巨大应用潜力，既可支撑渔业管理、国际贸易监管领域快速增长的数据需求，也可为脊椎动物宏生态学与宏演化研究提供重要锚定支撑。