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1. ForCenS-LGM: a dataset of planktonic foraminifera species assemblage composition for the Last Glacial Maximum

Author

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, and Michal Kucera

Subjects
Science
Abstract

Abstract 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.

Published
2024
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2. The FORCIS database: A global census of planktonic Foraminifera from ocean waters

Author

Sonia Chaabane, Thibault de Garidel-Thoron, Xavier Giraud, Ralf Schiebel, Gregory Beaugrand, Geert-Jan Brummer, Nicolas Casajus, Mattia Greco, Maria Grigoratou, Hélène Howa, Lukas Jonkers, Michal Kucera, Azumi Kuroyanagi, Julie Meilland, Fanny Monteiro, Graham Mortyn, Ahuva Almogi-Labin, Hirofumi Asahi, Simona Avnaim-Katav, Franck Bassinot, Catherine V. Davis, David B. Field, Iván Hernández-Almeida, Barak Herut, Graham Hosie, Will Howard, Anna Jentzen, David G. Johns, Lloyd Keigwin, John Kitchener, Karen E. Kohfeld, Douglas V. O. Lessa, Clara Manno, Margarita Marchant, Siri Ofstad, Joseph D. Ortiz, Alexandra Post, Andres Rigual-Hernandez, Marina C. Rillo, Karen Robinson, Takuya Sagawa, Francisco Sierro, Kunio T. Takahashi, Adi Torfstein, Igor Venancio, Makoto Yamasaki, and Patrizia Ziveri

Subjects
Science
Abstract

Abstract Planktonic Foraminifera are unique paleo-environmental indicators through their excellent fossil record in ocean sediments. Their distribution and diversity are affected by different environmental factors including anthropogenically forced ocean and climate change. Until now, historical changes in their distribution have not been fully assessed at the global scale. Here we present the FORCIS (Foraminifera Response to Climatic Stress) database on foraminiferal species diversity and distribution in the global ocean from 1910 until 2018 including published and unpublished data. The FORCIS database includes data collected using plankton tows, continuous plankton recorder, sediment traps and plankton pump, and contains ~22,000, ~157,000, ~9,000, ~400 subsamples, respectively (one single plankton aliquot collected within a depth range, time interval, size fraction range, at a single location) from each category. Our database provides a perspective of the distribution patterns of planktonic Foraminifera in the global ocean on large spatial (regional to basin scale, and at the vertical scale), and temporal (seasonal to interdecadal) scales over the past century.

Published
2023
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3. Publisher Correction: A global database of Holocene paleotemperature records

Author

M. P. Erb, Marie Claude Fortin, Enlou Zhang, Mathew Fox, Lukas Jonkers, Isabelle Larocque-Tobler, Anson W. Mackay, Richard S. Vachula, Magaly Caniupán, Julieta Massaferro, Brian M. Chase, Barbara Stenni, Mateusz Płóciennik, Liudmila Syrykh, Scott A. Reinemann, Oliver Heiri, Julien Emile-Geay, Nicolas Rolland, Walter Finsinger, Reinhard Pienitz, Karin A. Koinig, Petr Pařil, Stephen J. Roberts, Sebastien Bertrand, Anne de Vernal, Les C. Cwynar, Deborah Khider, Shyhrete Shala, Elizabeth K. Thomas, Tomi P. Luoto, Marcela Sandra Tonello, Vincent Montade, Paola Moffa-Sanchez, Andria Dawson, Boris P. Ilyashuk, Elena Novenko, Ian R. Walker, Christoph Dätwyler, Eugene R. Wahl, Andrew P. Rees, Martin Grosjean, Pol Tarrats, David F. Porinchu, Peter G. Langdon, Samuel L Jaccard, Boris K. Biskaborn, Yarrow Axford, Mónika Tóth, Basil A. S. Davis, Cody C. Routson, Kira Rehfeld, Jeremiah Marsicek, Aaron P. Potito, Valerie van den Bos, Manuel Chevalier, Naomi Holmes, Sakari Salonen, Karen J. Taylor, Nicholas P. McKay, Enikö Magyari, Philipp Sommer, Elena A. Ilyashuk, Matthew Peros, Emma J. Pearson, Steve Juggins, Krystyna M. Saunders, Janet M. Wilmshurst, Heikki Seppä, Louise C. Foster, Angela Self, Jeannine Marie St-Jacques, Manuel Bringué, Snezhana Zhilich, Anais Orsi, Olivier Cartapanis, Larisa Nazarova, Angelica Feurdean, Stephen J. Brooks, Sonja Hausmann, Steven B. Malevich, Stefan Engels, Bryan G. Mark, Jianyong Li, John M. Fegyveresi, Carrie Morrill, Gaute Velle, Thomas Brussel, Darrell S. Kaufman, André F. Lotter, Konrad Gajewski, Jessica E. Tierney, Andrei Andreev, and Markus Heinrichs

Subjects
Statistics and Probability, Data descriptor, Data Descriptor, 010504 meteorology & atmospheric sciences, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, MEDLINE, 910 Geography & travel, 580 Plants (Botany), Library and Information Sciences, Palaeoclimate, 01 natural sciences, Education, 03 medical and health sciences, 550 Earth sciences & geology, lcsh:Science, Climate and Earth system modelling, Holocene, 030304 developmental biology, 0105 earth and related environmental sciences, 0303 health sciences, Published Erratum, Publisher Correction, Computer Science Applications, ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, lcsh:Q, Statistics, Probability and Uncertainty, Cartography, Geology, Information Systems
Abstract

A comprehensive database of paleoclimate records is needed to place recent warming into the longer-term context of natural climate variability. We present a global compilation of quality-controlled, published, temperature-sensitive proxy records extending back 12,000 years through the Holocene. Data were compiled from 679 sites where time series cover at least 4000 years, are resolved at sub-millennial scale (median spacing of 400 years or finer) and have at least one age control point every 3000 years, with cut-off values slackened in data-sparse regions. The data derive from lake sediment (51%), marine sediment (31%), peat (11%), glacier ice (3%), and other natural archives. The database contains 1319 records, including 157 from the Southern Hemisphere. The multi-proxy database comprises paleotemperature time series based on ecological assemblages, as well as biophysical and geochemical indicators that reflect mean annual or seasonal temperatures, as encoded in the database. This database can be used to reconstruct the spatiotemporal evolution of Holocene temperature at global to regional scales, and is publicly available in Linked Paleo Data (LiPD) format., Measurement(s)climateTechnology Type(s)digital curationFactor Type(s)temporal interval • geographic location • proxy typeSample Characteristic - Environmentclimate systemSample Characteristic - LocationEarth (planet) Machine-accessible metadata file describing the reported data: https://www.ncdc.noaa.gov/paleo/study/27330

Published
2020
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4. Author Correction: A global database of Holocene paleotemperature records

Author

Manuel Chevalier, Deborah Khider, Magaly Caniupán, Julieta Massaferro, Manuel Bringué, Marcela Sandra Tonello, Scott A. Reinemann, Ian R. Walker, Elena A. Ilyashuk, Walter Finsinger, Stephen J. Roberts, Andrew P. Rees, Mathew Fox, Pol Tarrats, Les C. Cwynar, Karen J. Taylor, Emma J. Pearson, Steve Juggins, John M. Fegyveresi, Elizabeth K. Thomas, David F. Porinchu, Anais Orsi, Nicholas P. McKay, Boris P. Ilyashuk, Oliver Heiri, Lukas Jonkers, Thomas Brussel, Vincent Montade, Eugene R. Wahl, Sakari Salonen, Darrell S. Kaufman, Martin Grosjean, Boris K. Biskaborn, Olivier Cartapanis, Tomi P. Luoto, Naomi Holmes, Cody C. Routson, Reinhard Pienitz, Brian M. Chase, Samuel L Jaccard, Louise C. Foster, Christoph Dätwyler, Angela Self, Kira Rehfeld, Aaron P. Potito, Stefan Engels, Andrei Andreev, Markus Heinrichs, Julien Emile-Geay, Nicolas Rolland, Valerie van den Bos, Jeremiah Marsicek, Mónika Tóth, Carrie Morrill, Gaute Velle, Bryan G. Mark, Andria Dawson, Mateusz Płóciennik, Konrad Gajewski, Jianyong Li, Isabelle Larocque-Tobler, Barbara Stenni, Paola Moffa-Sanchez, Liudmila Syrykh, Enlou Zhang, Shyhrete Shala, André F. Lotter, Jessica E. Tierney, Karin A. Koinig, Sebastien Bertrand, Anne de Vernal, Enikö Magyari, Petr Pařil, Matthew Peros, Snezhana Zhilich, Richard S. Vachula, M. P. Erb, Marie Claude Fortin, Krystyna M. Saunders, Elena Novenko, Larisa Nazarova, Peter G. Langdon, Yarrow Axford, Janet M. Wilmshurst, Heikki Seppä, Jeannine Marie St-Jacques, Angelica Feurdean, Philipp Sommer, Stephen J. Brooks, Anson W. Mackay, Sonja Hausmann, Steven B. Malevich, and Basil A. S. Davis

Subjects
Statistics and Probability, lcsh:Q, Physical geography, Library and Information Sciences, Statistics, Probability and Uncertainty, Author Correction, lcsh:Science, Geology, Holocene, Computer Science Applications, Education, Information Systems
Abstract

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Published
2020
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