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ForCenS-LGM: a dataset of planktonic foraminifera species assemblage composition for the Last Glacial Maximum
Scientific Data ( IF 9.8 ) Pub Date : 2024-04-10 , DOI: 10.1038/s41597-024-03166-7
Lukas Jonkers , Alan Mix , Antje Voelker , Bjørg Risebrobakken , Christopher W. Smart , Elena Ivanova , Elsa Arellano-Torres , Frédérique Eynaud , Haddam Naoufel , Lars Max , Linda Rossignol , Margit H. Simon , Maria Virgínia Alves Martins , Sandro Petró , Thibaut Caley , Trond Dokken , Will Howard , Michal Kucera

Species assemblage composition of marine microfossils offers the possibility to investigate ecological and climatological change on time scales inaccessible using conventional observations. Planktonic foraminifera - calcareous zooplankton - have an excellent fossil record and are used extensively in palaeoecology and palaeoceanography. During the Last Glacial Maximum (LGM; 19,000 – 23,000 years ago), the climate was in a radically different state. This period is therefore a key target to investigate climate and biodiversity under different conditions than today. Studying LGM climate and ecosystems indeed has a long history, yet the most recent global synthesis of planktonic foraminifera assemblage composition is now nearly two decades old. Here we present the ForCenS-LGM dataset with 2,365 species assemblage samples collected using standardised methods and with harmonised taxonomy. The data originate from marine sediments from 664 sites and present a more than 50% increase in coverage compared to previous work. The taxonomy is compatible with the most recent global core top dataset, enabling direct investigation of temporal changes in foraminifera biogeography and facilitating seawater temperature reconstructions.



中文翻译:

ForCenS-LGM:末次盛冰期浮游有孔虫物种组合组成数据集

海洋微化石的物种组合组成为研究常规观测无法达到的时间尺度上的生态和气候变化提供了可能性。浮游有孔虫 - 钙质浮游动物 - 拥有出色的化石记录,并广泛用于古生态学和古海洋学。在末次盛冰期(LGM;19,000 – 23,000 年前)期间,气候处于完全不同的状态。因此,这一时期是在与今天不同的条件下调查气候和生物多样性的关键目标。研究末次盛行气候和生态系统确实有很长的历史,但最近对浮游有孔虫组合成分的全球合成已有近二十年的历史。在这里,我们展示了 ForCenS-LGM 数据集,其中包含使用标准化方法和统一分类法收集的 2,365 个物种组合样本。这些数据来自 664 个地点的海洋沉积物,与之前的工作相比,覆盖范围增加了 50% 以上。该分类法与最新的全球核心顶级数据集兼容,可以直接研究有孔虫生物地理学的时间变化,并促进海水温度重建。

更新日期:2024-04-11
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