Articles | Volume 45, issue 1
https://doi.org/10.5194/jm-45-95-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/jm-45-95-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Jan 2026
Research article |
| 26 Jan 2026
| 26 Jan 2026
Automated identification of fossil benthic foraminifera from the Peruvian margin using convolutional neural networks
Sikandar Hayat
CORRESPONDING AUTHOR
Univ Angers, Nantes Université, Le Mans Université, CNRS, Laboratoire de Planétologie et Géosciences, LPG UMR 6112 – Université d'Angers, 49000 Angers, France
Meryem Mojtahid
Univ Angers, Nantes Université, Le Mans Université, CNRS, Laboratoire de Planétologie et Géosciences, LPG UMR 6112 – Université d'Angers, 49000 Angers, France
Mary Elliot
Univ Angers, Nantes Université, Le Mans Université, CNRS, Laboratoire de Planétologie et Géosciences, LPG UMR 6112 – Université d'Angers, 49000 Angers, France
Jorge Cardich
CIDIS-Facultad de Ciencias e Ingenieria, Universidad Peruana Cayetano Heredia, Lima, Peru
Emmanuelle Geslin
Univ Angers, Nantes Université, Le Mans Université, CNRS, Laboratoire de Planétologie et Géosciences, LPG UMR 6112 – Université d'Angers, 49000 Angers, France
Thibault de Garidel-Thoron
Aix-Marseille Université, CNRS, IRD, INRAE, CEREGE, Aix-en-Provence 13545, France
Matthieu Carré
IPSL/Laboratoire d'Océanographie et du Climat: Expérimentations et Approches Numériques – CNRS-IRD-MNHN-Sorbonne Universités, Paris, France
Christine Barras
Univ Angers, Nantes Université, Le Mans Université, CNRS, Laboratoire de Planétologie et Géosciences, LPG UMR 6112 – Université d'Angers, 49000 Angers, France
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J. Micropalaeontol., 45, 195–217, https://doi.org/10.5194/jm-45-195-2026, https://doi.org/10.5194/jm-45-195-2026, 2026
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Using the FORCIS database, we mapped the distribution of planktonic goraminifera that record past ocean conditions. Our study reveals that these species mostly inhabit the upper ocean and thrive in waters ranging from −2 °C to over 31 °C. Their range is shifting, with species once limited to warm regions now appearing in cooler areas and smaller species increasing in number. This work refines our view of their biogeography and how climate change is reshaping ocean life.
Constance Choquel, Emmanuelle Geslin, Edouard Metzger, Bruno Jesus, Antoine Prins, Emilie Houliez, Magali Schweizer, Thierry Jauffrais, Éric Bénéteau, and Aurélia Mouret
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We studied how tiny shelled organisms called foraminifera living in coastal mudflats respond to changes in their microscopic algae food. By monitoring a French mudflat every month for 3 years, we showed that seasonal environmental changes strongly shape both algae and foraminifera. Using simple algae traits such as size and shape explained feeding patterns better than identifying algae species, offering a clearer way to predict ecosystem responses to environmental change.
Lukas Jonkers, Tonke Strack, Montserrat Alonso-Garcia, Simon D'haenens, Robert Huber, Michal Kucera, Iván Hernández-Almeida, Chloe L. C. Jones, Brett Metcalfe, Rajeev Saraswat, Lóránd Silye, Sanjay K. Verma, Muhamad Naim Abd Malek, Gerald Auer, Cátia F. Barbosa, Maria A. Barcena, Karl-Heinz Baumann, Flavia Boscolo-Galazzo, Joeven Austine S. Calvelo, Lucilla Capotondi, Martina Caratelli, Jorge Cardich, Humberto Carvajal-Chitty, Markéta Chroustová, Helen K. Coxall, Renata M. de Mello, Anne de Vernal, Paula Diz, Kirsty M. Edgar, Helena L. Filipsson, Ángela Fraguas, Heather L. Furlong, Giacomo Galli, Natalia L. García Chapori, Robyn Granger, Jeroen Groeneveld, Adil Imam, Rebecca Jackson, David Lazarus, Julie Meilland, Marína Molčan Matejová, Raphael Morard, Caterina Morigi, Sven N. Nielsen, Diana Ochoa, Maria Rose Petrizzo, Andrés S. Rigual-Hernández, Marina C. Rillo, Matthew L. Staitis, Gamze Tanık, Raúl Tapia, Nishant Vats, Bridget S. Wade, and Anna E. Weinmann
J. Micropalaeontol., 44, 145–168, https://doi.org/10.5194/jm-44-145-2025, https://doi.org/10.5194/jm-44-145-2025, 2025
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Babette A.A. Hoogakker, Catherine Davis, Yi Wang, Stephanie Kusch, Katrina Nilsson-Kerr, Dalton S. Hardisty, Allison Jacobel, Dharma Reyes Macaya, Nicolaas Glock, Sha Ni, Julio Sepúlveda, Abby Ren, Alexandra Auderset, Anya V. Hess, Katrin J. Meissner, Jorge Cardich, Robert Anderson, Christine Barras, Chandranath Basak, Harold J. Bradbury, Inda Brinkmann, Alexis Castillo, Madelyn Cook, Kassandra Costa, Constance Choquel, Paula Diz, Jonas Donnenfield, Felix J. Elling, Zeynep Erdem, Helena L. Filipsson, Sebastián Garrido, Julia Gottschalk, Anjaly Govindankutty Menon, Jeroen Groeneveld, Christian Hallmann, Ingrid Hendy, Rick Hennekam, Wanyi Lu, Jean Lynch-Stieglitz, Lélia Matos, Alfredo Martínez-García, Giulia Molina, Práxedes Muñoz, Simone Moretti, Jennifer Morford, Sophie Nuber, Svetlana Radionovskaya, Morgan Reed Raven, Christopher J. Somes, Anja S. Studer, Kazuyo Tachikawa, Raúl Tapia, Martin Tetard, Tyler Vollmer, Xingchen Wang, Shuzhuang Wu, Yan Zhang, Xin-Yuan Zheng, and Yuxin Zhou
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Maxime Daviray, Emmanuelle Geslin, Nils Risgaard-Petersen, Vincent V. Scholz, Marie Fouet, and Edouard Metzger
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Christiane Schmidt, Emmanuelle Geslin, Joan M. Bernhard, Charlotte LeKieffre, Mette Marianne Svenning, Helene Roberge, Magali Schweizer, and Giuliana Panieri
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Inda Brinkmann, Christine Barras, Tom Jilbert, Tomas Næraa, K. Mareike Paul, Magali Schweizer, and Helena L. Filipsson
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Short summary
We studied how artificial intelligence can speed up the study of tiny ocean organisms called benthic foraminifera, whose shells help scientists understand past ocean changes. Normally, identifying and counting them under a microscope takes a lot of time and skill. Here, we compared automated image analysis and human counting for 31 samples. The automated method showed promising results for faster and reliable research.
We studied how artificial intelligence can speed up the study of tiny ocean organisms called...
