ForCenS-LGM: a dataset of planktonic foraminifera species assemblage composition for the last glacial maximum

• Published in: Scientific Data
• Main Authors: Jonkers, Lukas, Mix, Alan, Voelker, Antje, Risebrobakken, Bjørg, Smart, Christopher W., Ivanova, Elena, Arellano-Torres, Elsa, Eynaud, Frédérique, Naoufel, Haddam, Max, Lars, Rossignol, Linda, Simon, Margit H., Martins, Maria Virgínia Alves, Petró, Sandro, Caley, Thibaut, Dokken, Trond, Howard, Will, Kucera, Michal
• Format: Article in Journal/Newspaper
• Language: English
• Published: Nature Portfolio 2024
• Subjects: Sea-surface temperatures; Paleoceanographic conditions; Paleoenvironmental changes; Equatorial pacific; Southwest pacific; Subtropical front; Faunal evidence; Ocean surface; New-zealand; China; Sea; Pacific; New Zealand; Planktonic foraminifera
• Online Access: http://hdl.handle.net/10400.1/20700; https://doi.org/10.1038/s41597-024-03166-7

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. 01LP1922A; 325333; N3467 info:eu-repo/semantics/publishedVersion