Vafeiadou Ariadni, Fragkopoulou Eliza, Assis Jorge
Centre of Marine Sciences (CCMAR-CIMAR), University of the Algarve, 8005-139 Faro, Portugal.
Faculty of Bioscience and Aquaculture, Nord Universitet, Postboks 1490, Bodø, Norway.
Data Brief. 2024 Feb 20;53:110200. doi: 10.1016/j.dib.2024.110200. eCollection 2024 Apr.
Biodiversity information in the form of species occurrence records is key for monitoring and predicting current and future biodiversity patterns, as well as for guiding conservation and management strategies. However, the reliability and accuracy of this information are frequently undermined by taxonomic and spatial errors. Additionally, biodiversity information facilities often share data in diverse incompatible formats, precluding seamless integration and interoperability. We provide a comprehensive quality-controlled dataset of occurrence records of the Class Demospongiae, which comprises 81% of the entire Porifera phylum. Demosponges are ecologically significant as they structure rich habitats and play a key role in nutrient cycling within marine benthic communities. The dataset aggregates occurrence records from multiple sources, employs dereplication and taxonomic curation techniques, and is flagged for potentially incorrect records based on expert knowledge regarding each species' bathymetric and geographic distributions. It yields 417,626 records of 1,816 accepted demosponge species (of which 321,660 records of 1,495 species are flagged as potentially correct), which are provided under the FAIR principle of Findability, Accessibility, Interoperability and Reusability in the Darwin Core Standard. This dataset constitutes the most up-to-date baseline for studying demosponge diversity at the global scale, enabling researchers to examine biodiversity patterns (e.g., species richness and endemicity), and forecast potential distributional shifts under future scenarios of climate change.
以物种出现记录形式存在的生物多样性信息,对于监测和预测当前及未来的生物多样性模式,以及指导保护和管理策略而言至关重要。然而,这些信息的可靠性和准确性常常因分类学和空间误差而受到损害。此外,生物多样性信息机构经常以各种不兼容的格式共享数据,这使得无缝集成和互操作性无法实现。我们提供了一个经过全面质量控制的海绵纲出现记录数据集,海绵纲占整个多孔动物门的81%。海绵在生态上具有重要意义,因为它们构建了丰富的栖息地,并在海洋底栖生物群落的营养循环中发挥关键作用。该数据集汇总了来自多个来源的出现记录,采用了去重和分类整理技术,并根据关于每个物种的深度和地理分布的专家知识,对可能错误的记录进行了标记。它产生了1816种已接受的海绵物种的417,626条记录(其中1495种物种的321,660条记录被标记为可能正确),这些记录是根据达尔文核心标准中可查找性、可访问性、互操作性和可重用性的公平原则提供的。这个数据集构成了在全球范围内研究海绵多样性的最新基线,使研究人员能够研究生物多样性模式(如物种丰富度和特有性),并预测在未来气候变化情景下潜在的分布变化。