Monadjem Ara, Montauban Cecilia, Webala Paul W, Laverty Theresa M, Bakwo-Fils Eric M, Torrent Laura, Tanshi Iroro, Kane Adam, Rutrough Abigail L, Waldien David L, Taylor Peter J
Department of Biological Sciences, University of Eswatini, Kwaluseni, Eswatini.
Mammal Research Institute, Department of Zoology & Entomology, University of Pretoria, Hatfield, South Africa.
Sci Data. 2024 Dec 2;11(1):1309. doi: 10.1038/s41597-024-04170-7.
Accurate knowledge of species distributions is foundational for effective conservation efforts. Bats are a diverse group of mammals, with important roles in ecosystem functioning. However, our understanding of bats and their ecological importance is hindered by poorly defined ranges, mostly as a result of under-recording. This issue is exacerbated in Africa by the ongoing rapid discovery of new species, both de novo and splits of existing species, and by inaccessibility to museum specimens that are mostly hosted outside of the continent. Here we present the African bat database - a curated set of 17,285 unique locality records of all 266 species of bats from sub-Saharan Africa, vouched for by specimens and/or genetic sequencing, and aligned with current taxonomy. Based on these records, we also present Maxent-based distribution models and calculate the IUCN Red List metrics for Extent of Occurrence and Area of Occupancy. This database and online visualization tool provide an important open-source resource and is expected to significantly advance studies in ecology, and aid in bat conservation.
准确了解物种分布是有效开展保护工作的基础。蝙蝠是一类多样的哺乳动物,在生态系统功能中发挥着重要作用。然而,我们对蝙蝠及其生态重要性的理解因分布范围界定不清而受到阻碍,这主要是记录不足所致。在非洲,新物种(包括全新发现的物种和现有物种的分类划分)的不断快速发现,以及大多保存在非洲大陆以外的博物馆标本难以获取,使这个问题更加严重。在此,我们展示非洲蝙蝠数据库——这是一组经过整理的17285条独特的地点记录,涵盖了撒哈拉以南非洲地区所有266种蝙蝠,均有标本和/或基因测序作为凭证,并与当前分类法一致。基于这些记录,我们还展示了基于最大熵模型的分布模型,并计算了国际自然保护联盟红色名录中的分布范围和占用面积指标。这个数据库和在线可视化工具提供了一个重要的开源资源,有望显著推动生态学研究,并有助于蝙蝠保护。