INRAE, UR EABX, 50 avenue de Verdun, F-33612, Cestas, Cedex, France.
Pôle R&D Ecosystèmes Lacustres (ECLA), F-13100, Aix-en-Provence, France.
Sci Data. 2021 Feb 2;8(1):40. doi: 10.1038/s41597-021-00814-0.
In lake ecosystems, phytoplankton communities can be studied by adopting taxonomic-based approaches. However, these approaches suffer from identification issues and are sometimes of limited ecosystem ecological value. The recent development of functional approaches may allow an evaluation of other aspects of ecosystem quality, functions and interactions with abiotic parameters or other communities. Here, our aim was to create a phytoplankton trait database at the French scale. This database will be relevant for the analysis of phytoplankton communities that will lead to a better understanding of phytoplankton functional ecology in lakes of France and other European countries possessing similar biological communities. We used a French national database of phytoplankton occurrences sampled from 384 lakes over the entire French metropolitan territory. A final list of 636 taxa was used to compile 53 morpho-functional traits associated with taxonomic information. The traits encompassed variables such as shape, biovolume, motility, toxin production and Reynolds groups. With this new database, we aim to provide data for morpho-functional analyses of phytoplankton assemblages from local to European scale.
在湖泊生态系统中，可以采用基于分类的方法来研究浮游植物群落。然而，这些方法存在鉴定问题，有时对生态系统生态价值的有限。最近功能方法的发展可以允许对生态系统质量、功能及其与非生物参数或其他群落的相互作用的其他方面进行评估。在这里，我们的目的是在法国范围内创建一个浮游植物特征数据库。该数据库将有助于分析浮游植物群落，从而更好地了解法国和其他具有类似生物群落的欧洲国家的浮游植物功能生态学。我们使用了一个法国国家浮游植物出现数据库，该数据库是从法国整个大都市地区的 384 个湖泊中采集的。最后使用了一份包含 636 个分类群的清单，以编制与分类学信息相关的 53 个形态功能特征。这些特征包括形状、生物量、运动性、毒素产生和雷诺兹组等变量。有了这个新的数据库，我们旨在为从地方到欧洲尺度的浮游植物组合的形态功能分析提供数据。
