UMR5174 EDB (Laboratoire Evolution et Diversité Biologique), CNRS, IRD, UPS, ENFA, 118 Route de Narbonne, Université Paul Sabatier, F-31062 Toulouse, France.
Flanders Marine Institute (VLIZ), Wandelaarkaai 7, 8400 Oostende, Belgium.
Sci Data. 2017 Oct 3;4:170141. doi: 10.1038/sdata.2017.141.
A growing interest is devoted to global-scale approaches in ecology and evolution that examine patterns and determinants of species diversity and the threats resulting from global change. These analyses obviously require global datasets of species distribution. Freshwater systems house a disproportionately high fraction of the global fish diversity considering the small proportion of the earth's surface that they occupy, and are one of the most threatened habitats on Earth. Here we provide complete species lists for 3119 drainage basins covering more than 80% of the Earth surface using 14953 fish species inhabiting permanently or occasionally freshwater systems. The database results from an extensive survey of native and non-native freshwater fish species distribution based on 1436 published papers, books, grey literature and web-based sources. Alone or in combination with further datasets on species biological and ecological characteristics and their evolutionary history, this database represents a highly valuable source of information for further studies on freshwater macroecology, macroevolution, biogeography and conservation.
人们越来越关注生态学和进化领域的全球尺度方法,这些方法旨在研究物种多样性的模式和决定因素,以及全球变化所带来的威胁。这些分析显然需要全球物种分布数据集。考虑到淡水系统在地球表面所占的比例很小,但却拥有极高比例的全球鱼类多样性,因此它们是地球上受威胁最严重的栖息地之一。在这里,我们利用生活在永久性或间歇性淡水系统中的 14953 种鱼类,为覆盖超过 80%地球表面的 3119 个流域提供了完整的物种清单。该数据库源自对基于 1436 篇已发表的论文、书籍、灰色文献和基于网络的资源的本地和非本地淡水鱼类物种分布的广泛调查。无论是单独使用还是与其他关于物种生物和生态特征及其进化历史的数据集结合使用,该数据库都是进一步研究淡水宏观生态学、宏观进化、生物地理学和保护的极具价值的信息来源。