Aubouin Lucas, Genoud David, Givord-Coupeau Bérénice, Tercerie Sandrine, Gargominy Olivier, Geslin Benoît, Schatz Bertrand
CEFE, CNRS (UMR 5175), Université de Montpellier, EPHE, IRD, 34293, Montpellier, France.
Independant, Ambazac, France.
Sci Data. 2025 Jul 26;12(1):1302. doi: 10.1038/s41597-025-05626-0.
Given pollinator's reported decline, it is of utmost importance to better understand the vulnerability of wild bees to human pressures. One way to achieve this goal is to explore how their traits are associated with exposure to anthropogenic perturbations. To date, there is no database synthesizing traits of bees at the species level in France, limiting the functional interpretation of inventories. We present BeeFunc 1.0, the first database on traits for the entire fauna of French wild bees. Based on extensive literature research and expert knowledge, the database is structured according to the French taxonomic register (TAXREF) and its associated knowledge base. The base gathers 26,176 trait information from 483 sources, describing 932 species for 20 features related to morphology, ecology, biogeography, and conservation. BeeFunc is intended to be collaborative and regularly updated. Bees can finally be better considered from a functional perspective. We expect this database to be widely used by researchers, conservationists, naturalists, and stakeholders, stimulating future research on wild bees.
鉴于传粉者数量的下降,更好地了解野生蜜蜂对人类压力的脆弱性至关重要。实现这一目标的一种方法是探索它们的特征如何与人为干扰的暴露相关联。迄今为止,法国尚无一个在物种层面综合蜜蜂特征的数据库,这限制了对物种清单的功能解释。我们展示了BeeFunc 1.0,这是首个关于法国野生蜜蜂整个动物群特征的数据库。基于广泛的文献研究和专家知识,该数据库是根据法国分类登记册(TAXREF)及其相关知识库构建的。该数据库从483个来源收集了26,176条特征信息,描述了932个物种的20个与形态学、生态学、生物地理学和保护相关的特征。BeeFunc旨在实现协作并定期更新。最终,可以从功能角度更好地考虑蜜蜂。我们期望这个数据库能被研究人员、保护主义者、博物学家和利益相关者广泛使用,从而推动未来对野生蜜蜂的研究。