Preprints
https://doi.org/10.1101/2025.09.11.675535
https://doi.org/10.1101/2025.09.11.675535
24 Mar 2026
 | 24 Mar 2026
Status: this preprint is open for discussion and under review for Biogeosciences (BG).

A diverse community constitutes global coccolithophore calcium carbonate stocks

Joost de Vries, Fanny M. Monteiro, Alex J. Poulton, Nicola A. Wiseman, and Levi J. Wolf

Abstract. Coccolithophores are diverse calcifying plankton, yet most research has focused on a single species, Gephyrocapsa huxleyi, with the global contributions of other species hitherto unexplored. Since coccolithophores account for the majority of marine calcium carbonate (CaCO3) production, this narrow focus risks biasing our understanding of CaCO3 cycling, as other species differ in their distributions, CaCO3 production and response to climate change. Using a global, species-resolved machine-learning approach, we show that G. huxleyi contributes only about 7 % of estimated coccolithophore CaCO3 stock, while a morphologically and functionally diverse assemblage dominates. Since stock contributions are a good proxy for contribution to production, our findings challenge the view that G. huxleyi underpins CaCO3 cycling and show that lab and in situ datasets centred on this species capture only a small fraction of coccolithophore calcification. Our work identifies key species and regions to guide future laboratory, in situ, and modelling efforts, laying the groundwork for more realistic representations of CaCO3 cycling under climate change.

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Joost de Vries, Fanny M. Monteiro, Alex J. Poulton, Nicola A. Wiseman, and Levi J. Wolf

Status: open (until 05 May 2026)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
Joost de Vries, Fanny M. Monteiro, Alex J. Poulton, Nicola A. Wiseman, and Levi J. Wolf

Data sets

Abundance model output Joost de Vries, Fanny Monteiro, Alex Poulton, Nicola Wiseman, and Levi Wolf https://doi.org/10.5281/zenodo.16886603

CIC model ouput Joost de Vries, Fanny Monteiro, Alex Poulton, Nicola Wiseman, and Levi Wolf https://doi.org/10.5281/zenodo.16887386

COC model output Joost de Vries, Fanny Monteiro, Alex Poulton, Nicola Wiseman, and Levi Wolf https://doi.org/10.5281/zenodo.16986899

Model code and software

Abil software Joost de Vries, Nicola Wiseman, and Levi Wolf https://doi.org/10.5281/zenodo.16886568

Joost de Vries, Fanny M. Monteiro, Alex J. Poulton, Nicola A. Wiseman, and Levi J. Wolf
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Latest update: 24 Mar 2026
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Short summary
Calcifying phytoplankton ('coccolithophores') are a diverse group of organisms which play a key role in the ocean's carbon cycle. Despite the diversity of these organisms, they are generally viewed as a single group with a uniform response to climate change. Here we show using global machine learning stock estimates that doing so risks biasing our understanding of the role of these organisms in the carbon cycle and their response to environmental changes.
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