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鲨鱼百科全书:鲨鱼和鳐鱼生活史特征及丰度时间序列的精心整理的开放获取数据库。

Sharkipedia: a curated open access database of shark and ray life history traits and abundance time-series.

机构信息

Integrated Fisheries Laboratory, Department of Biology, Dalhousie University, Halifax, NS, B3H 4R2, Canada.

Earth to Ocean Research Group, Department of Biological Sciences, Simon Fraser University, Burnaby, BC, V5A 1S6, Canada.

出版信息

Sci Data. 2022 Sep 10;9(1):559. doi: 10.1038/s41597-022-01655-1.

Abstract

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 274 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.

摘要

鲨鱼和鳐鱼生物数据的精选数据库对于支持渔业管理和保护工作以及检验脊椎动物宏生态学和宏进化假说的普遍性越来越有必要。鲨鱼和鳐鱼是最具魅力、进化独特和受威胁的脊椎动物之一,包含约 1250 个物种。为了加速鲨鱼和鳐鱼的保护和科学研究,我们开发了 Sharkipedia,这是一个经过精心整理的开源数据库和研究计划,旨在使所有人都能访问所有已发表的生物特征和种群趋势。Sharkipedia 提供了来自 39 个科的 12 个目、170 个物种的 274 个来源的 58 个生活史特征和 871 个种群时间序列的信息,这些特征涉及长度(n=9 个特征)、年龄(8 个)、生长(12 个)、繁殖(19 个)、人口统计学(5 个)和比例关系(5 个)。Sharkipedia 依赖于 IUCN 红色名录的骨干分类法和 Shark-References 的参考文献。Sharkipedia 具有支持渔业管理、国际贸易监管以及作为脊椎动物宏生态学和宏进化基础的快速增长的数据需求的巨大潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6df7/9464254/c0b28916f229/41597_2022_1655_Fig1_HTML.jpg

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