Articles | Volume 7-osr10
https://doi.org/10.5194/sp-7-osr10-4-2026
© 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/sp-7-osr10-4-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
30 Sep 2026
| OSR10 | Chapter 2.1
| 30 Sep 2026 | OSR10 | Chapter 2.1
Three decades of marine bioregions evolution through analysis of phytoplankton phenology
Sorbonne Université & CNRS, Laboratoire d'Océanograpie de Villefranche, UMR 7093 LOV, 06230 Villefranche-sur-mer, France
Nicolas Mayot
Sorbonne Université & CNRS, Laboratoire d'Océanograpie de Villefranche, UMR 7093 LOV, 06230 Villefranche-sur-mer, France
Centre National d'Études Spatiales (CNES), 75001 Paris, France
Alexandre Mignot
Mercator Ocean International, 31400 Toulouse, France
Vincent Taillandier
Sorbonne Université & CNRS, Laboratoire d'Océanograpie de Villefranche, UMR 7093 LOV, 06230 Villefranche-sur-mer, France
Fabrizio D'Ortenzio
Sorbonne Université & CNRS, Laboratoire d'Océanograpie de Villefranche, UMR 7093 LOV, 06230 Villefranche-sur-mer, France
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Alexandre Mignot, Nina Bednaršek, Sarah Albernhe, Stefano Ciavatta, Patrick Lehodey, and Jules Lehodey
State Planet Discuss., https://doi.org/10.5194/sp-2026-21, https://doi.org/10.5194/sp-2026-21, 2026
Preprint under review for SP
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Tiny sea snails called pteropods build delicate shells that dissolve as the ocean absorbs carbon dioxide, while warming shrinks the areas where they can live. Using satellite-based ocean data from 1995 to 2025, we built two indicators that track, worldwide, how much shell damage occurs and how much suitable habitat remains. Over three decades, shell damage rose and suitable habitat shrank, confirming that both acidification and warming are reshaping where these animals can survive.
Jules Victor Lehodey, Alexandre Mignot, Alexandre Ganachaud, Sarah Albernhe, and Simon Nicol
Geosci. Model Dev., 19, 8349–8366, https://doi.org/10.5194/gmd-19-8349-2026, https://doi.org/10.5194/gmd-19-8349-2026, 2026
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Marine zooplankton transfer energy from microscopic algae to fish and larger predators. Understanding their distribution helps predict how oceans respond to climate change. We developed SeapoPym, a freely available model that simulates zooplankton using ocean temperature and plant productivity. This tool lets scientists test biological hypotheses and estimate parameters from observations.
Quentin Hyvernat, Alexandre Mignot, Elodie Gutknecht, Giovanni Ruggiero, Coralie Perruche, Guillaume Samson, Raphaëlle Sauzède, Olivier Aumont, Hervé Claustre, and Fabrizio D'Ortenzio
Biogeosciences, 23, 4967–4998, https://doi.org/10.5194/bg-23-4967-2026, https://doi.org/10.5194/bg-23-4967-2026, 2026
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We introduce an iterative Importance Sampling framework to optimize the Pelagic Interaction Scheme for Carbon and Ecosystem Studies (PISCES) model using 20 metrics from Biogeochemical-Argo data. Three strategies are compared: 29 main-effect, 66 including interaction effects, and all 95 parameters. All yield statistically indistinguishable skill gains, reducing error by 54–56 %. Optimizing all 95 parameters is recommended for comprehensive uncertainty quantification. The optimized set also improves skill in a three-dimensional regional simulation.
Flavien Petit, Julia Uitz, Louison Dufour, Collin Roesler, Frédéric Partensky, Laurence Garczarek, Priscillia Gourvil, Céline Dimier, Melek Golbol, Vincenzo Vellucci, David Antoine, Christophe Penkerc'h, Vincent Taillandier, and Hervé Claustre
Biogeosciences, 23, 4561–4582, https://doi.org/10.5194/bg-23-4561-2026, https://doi.org/10.5194/bg-23-4561-2026, 2026
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We studied whether ocean sensors can detect changes in microscopic algae communities that influence marine ecosystems and carbon uptake. We combined laboratory experiments and ocean observations to test sensors that measure how algae emit light at different colors when illuminated. We found that combining these light measurements with other optical signals improves the identification of broad community types. This approach could help future ocean floats better track ecosystem change globally.
Jozef Skákala, Shubha Sathyendranath, Yuri Artioli, Deep S. Banerjee, Heather Bouman, Robert J. W. Brewin, Momme Butenschön, Stefano Ciavatta, Stephanie Dutkiewicz, Yanna Fidai, David Ford, Grinson George, Karen Guihou, Bror Jönsson, Marija Bačeković Koloper, Žarko Kovač, Lekshmi Krishnakumary, Gemma Kulk, Charlotte Laufkötter, Gennadi Lessin, Jann Paul Mattern, Angélique Melet, Alexandre Mignot, David Moffat, Fanny Monteiro, Mayra Rodriguez Bennadji, Cécile S. Rousseaux, Ranjini Swaminathan, Osvaldo Ulloa, and Jerry Tjiputra
Ocean Sci., 22, 1457–1481, https://doi.org/10.5194/os-22-1457-2026, https://doi.org/10.5194/os-22-1457-2026, 2026
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Marine primary production (PP) is a key component of the Earth's climate system, but its current estimates and future projections are highly uncertain. We review the PP uncertainties and discuss their sources both across the ecosystem and satellite models. We propose to reduce the PP uncertainties by better addressing the PP model structures and parametrizations. We also argue that for many models it is desirable to consider spatial and temporal variability in the model parameter values.
Xavier Durrieu de Madron, Paul Blin, Mireille Pujo-Pay, Vincent Taillandier, and Pascal Conan
Ocean Sci., 21, 2705–2726, https://doi.org/10.5194/os-21-2705-2025, https://doi.org/10.5194/os-21-2705-2025, 2025
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This study investigated the effects of salt fingering on particle and solute distribution in the Tyrrhenian Sea. Density interfaces associated with thermohaline staircases slow the settling of suspended particles and promote aggregation. This affects the particle size distribution and creates nutrient and oxygen gradients, affecting microbial activity and nutrient cycling. The research highlights the potential role of salt fingers in deep ocean biogeochemical processes.
Pierre Friedlingstein, Michael O'Sullivan, Matthew W. Jones, Robbie M. Andrew, Judith Hauck, Peter Landschützer, Corinne Le Quéré, Hongmei Li, Ingrid T. Luijkx, Are Olsen, Glen P. Peters, Wouter Peters, Julia Pongratz, Clemens Schwingshackl, Stephen Sitch, Josep G. Canadell, Philippe Ciais, Robert B. Jackson, Simone R. Alin, Almut Arneth, Vivek Arora, Nicholas R. Bates, Meike Becker, Nicolas Bellouin, Carla F. Berghoff, Henry C. Bittig, Laurent Bopp, Patricia Cadule, Katie Campbell, Matthew A. Chamberlain, Naveen Chandra, Frédéric Chevallier, Louise P. Chini, Thomas Colligan, Jeanne Decayeux, Laique M. Djeutchouang, Xinyu Dou, Carolina Duran Rojas, Kazutaka Enyo, Wiley Evans, Amanda R. Fay, Richard A. Feely, Daniel J. Ford, Adrianna Foster, Thomas Gasser, Marion Gehlen, Thanos Gkritzalis, Giacomo Grassi, Luke Gregor, Nicolas Gruber, Özgür Gürses, Ian Harris, Matthew Hefner, Jens Heinke, George C. Hurtt, Yosuke Iida, Tatiana Ilyina, Andrew R. Jacobson, Atul K. Jain, Tereza Jarníková, Annika Jersild, Fei Jiang, Zhe Jin, Etsushi Kato, Ralph F. Keeling, Kees Klein Goldewijk, Jürgen Knauer, Jan Ivar Korsbakken, Xin Lan, Siv K. Lauvset, Nathalie Lefèvre, Zhu Liu, Junjie Liu, Lei Ma, Shamil Maksyutov, Gregg Marland, Nicolas Mayot, Patrick C. McGuire, Nicolas Metzl, Natalie M. Monacci, Eric J. Morgan, Shin-Ichiro Nakaoka, Craig Neill, Yosuke Niwa, Tobias Nützel, Lea Olivier, Tsuneo Ono, Paul I. Palmer, Denis Pierrot, Zhangcai Qin, Laure Resplandy, Alizée Roobaert, Thais M. Rosan, Christian Rödenbeck, Jörg Schwinger, T. Luke Smallman, Stephen M. Smith, Reinel Sospedra-Alfonso, Tobias Steinhoff, Qing Sun, Adrienne J. Sutton, Roland Séférian, Shintaro Takao, Hiroaki Tatebe, Hanqin Tian, Bronte Tilbrook, Olivier Torres, Etienne Tourigny, Hiroyuki Tsujino, Francesco Tubiello, Guido van der Werf, Rik Wanninkhof, Xuhui Wang, Dongxu Yang, Xiaojuan Yang, Zhen Yu, Wenping Yuan, Xu Yue, Sönke Zaehle, Ning Zeng, and Jiye Zeng
Earth Syst. Sci. Data, 17, 965–1039, https://doi.org/10.5194/essd-17-965-2025, https://doi.org/10.5194/essd-17-965-2025, 2025
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The Global Carbon Budget 2024 describes the methodology, main results, and datasets used to quantify the anthropogenic emissions of carbon dioxide (CO2) and their partitioning among the atmosphere, land ecosystems, and the ocean over the historical period (1750–2024). These living datasets are updated every year to provide the highest transparency and traceability in the reporting of CO2, the key driver of climate change.
France Van Wambeke, Pascal Conan, Mireille Pujo-Pay, Vincent Taillandier, Olivier Crispi, Alexandra Pavlidou, Sandra Nunige, Morgane Didry, Christophe Salmeron, and Elvira Pulido-Villena
Biogeosciences, 21, 2621–2640, https://doi.org/10.5194/bg-21-2621-2024, https://doi.org/10.5194/bg-21-2621-2024, 2024
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Phosphomonoesterase (PME) and phosphodiesterase (PDE) activities over the epipelagic zone are described in the eastern Mediterranean Sea in winter and autumn. The types of concentration kinetics obtained for PDE (saturation at 50 µM, high Km, high turnover times) compared to those of PME (saturation at 1 µM, low Km, low turnover times) are discussed in regard to the possible inequal distribution of PDE and PME in the size continuum of organic material and accessibility to phosphodiesters.
Pierre Friedlingstein, Michael O'Sullivan, Matthew W. Jones, Robbie M. Andrew, Dorothee C. E. Bakker, Judith Hauck, Peter Landschützer, Corinne Le Quéré, Ingrid T. Luijkx, Glen P. Peters, Wouter Peters, Julia Pongratz, Clemens Schwingshackl, Stephen Sitch, Josep G. Canadell, Philippe Ciais, Robert B. Jackson, Simone R. Alin, Peter Anthoni, Leticia Barbero, Nicholas R. Bates, Meike Becker, Nicolas Bellouin, Bertrand Decharme, Laurent Bopp, Ida Bagus Mandhara Brasika, Patricia Cadule, Matthew A. Chamberlain, Naveen Chandra, Thi-Tuyet-Trang Chau, Frédéric Chevallier, Louise P. Chini, Margot Cronin, Xinyu Dou, Kazutaka Enyo, Wiley Evans, Stefanie Falk, Richard A. Feely, Liang Feng, Daniel J. Ford, Thomas Gasser, Josefine Ghattas, Thanos Gkritzalis, Giacomo Grassi, Luke Gregor, Nicolas Gruber, Özgür Gürses, Ian Harris, Matthew Hefner, Jens Heinke, Richard A. Houghton, George C. Hurtt, Yosuke Iida, Tatiana Ilyina, Andrew R. Jacobson, Atul Jain, Tereza Jarníková, Annika Jersild, Fei Jiang, Zhe Jin, Fortunat Joos, Etsushi Kato, Ralph F. Keeling, Daniel Kennedy, Kees Klein Goldewijk, Jürgen Knauer, Jan Ivar Korsbakken, Arne Körtzinger, Xin Lan, Nathalie Lefèvre, Hongmei Li, Junjie Liu, Zhiqiang Liu, Lei Ma, Greg Marland, Nicolas Mayot, Patrick C. McGuire, Galen A. McKinley, Gesa Meyer, Eric J. Morgan, David R. Munro, Shin-Ichiro Nakaoka, Yosuke Niwa, Kevin M. O'Brien, Are Olsen, Abdirahman M. Omar, Tsuneo Ono, Melf Paulsen, Denis Pierrot, Katie Pocock, Benjamin Poulter, Carter M. Powis, Gregor Rehder, Laure Resplandy, Eddy Robertson, Christian Rödenbeck, Thais M. Rosan, Jörg Schwinger, Roland Séférian, T. Luke Smallman, Stephen M. Smith, Reinel Sospedra-Alfonso, Qing Sun, Adrienne J. Sutton, Colm Sweeney, Shintaro Takao, Pieter P. Tans, Hanqin Tian, Bronte Tilbrook, Hiroyuki Tsujino, Francesco Tubiello, Guido R. van der Werf, Erik van Ooijen, Rik Wanninkhof, Michio Watanabe, Cathy Wimart-Rousseau, Dongxu Yang, Xiaojuan Yang, Wenping Yuan, Xu Yue, Sönke Zaehle, Jiye Zeng, and Bo Zheng
Earth Syst. Sci. Data, 15, 5301–5369, https://doi.org/10.5194/essd-15-5301-2023, https://doi.org/10.5194/essd-15-5301-2023, 2023
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The Global Carbon Budget 2023 describes the methodology, main results, and data sets used to quantify the anthropogenic emissions of carbon dioxide (CO2) and their partitioning among the atmosphere, land ecosystems, and the ocean over the historical period (1750–2023). These living datasets are updated every year to provide the highest transparency and traceability in the reporting of CO2, the key driver of climate change.
Eva Álvarez, Gianpiero Cossarini, Anna Teruzzi, Jorn Bruggeman, Karsten Bolding, Stefano Ciavatta, Vincenzo Vellucci, Fabrizio D'Ortenzio, David Antoine, and Paolo Lazzari
Biogeosciences, 20, 4591–4624, https://doi.org/10.5194/bg-20-4591-2023, https://doi.org/10.5194/bg-20-4591-2023, 2023
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Chromophoric dissolved organic matter (CDOM) interacts with the ambient light and gives the waters of the Mediterranean Sea their colour. We propose a novel parameterization of the CDOM cycle, whose parameter values have been optimized by using the data of the monitoring site BOUSSOLE. Nutrient and light limitations for locally produced CDOM caused aCDOM(λ) to covary with chlorophyll, while the above-average CDOM concentrations observed at this site were maintained by allochthonous sources.
Joelle Habib, Caroline Ulses, Claude Estournel, Milad Fakhri, Patrick Marsaleix, Mireille Pujo-Pay, Marine Fourrier, Laurent Coppola, Alexandre Mignot, Laurent Mortier, and Pascal Conan
Biogeosciences, 20, 3203–3228, https://doi.org/10.5194/bg-20-3203-2023, https://doi.org/10.5194/bg-20-3203-2023, 2023
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The Rhodes Gyre, eastern Mediterranean Sea, is the main Levantine Intermediate Water formation site. In this study, we use a 3D physical–biogeochemical model to investigate the seasonal and interannual variability of organic carbon dynamics in the gyre. Our results show its autotrophic nature and its high interannual variability, with enhanced primary production, downward exports, and onward exports to the surrounding regions during years marked by intense heat losses and deep mixed layers.
Alexandre Mignot, Hervé Claustre, Gianpiero Cossarini, Fabrizio D'Ortenzio, Elodie Gutknecht, Julien Lamouroux, Paolo Lazzari, Coralie Perruche, Stefano Salon, Raphaëlle Sauzède, Vincent Taillandier, and Anna Teruzzi
Biogeosciences, 20, 1405–1422, https://doi.org/10.5194/bg-20-1405-2023, https://doi.org/10.5194/bg-20-1405-2023, 2023
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Numerical models of ocean biogeochemistry are becoming a major tool to detect and predict the impact of climate change on marine resources and monitor ocean health. Here, we demonstrate the use of the global array of BGC-Argo floats for the assessment of biogeochemical models. We first detail the handling of the BGC-Argo data set for model assessment purposes. We then present 23 assessment metrics to quantify the consistency of BGC model simulations with respect to BGC-Argo data.
Pierre Friedlingstein, Michael O'Sullivan, Matthew W. Jones, Robbie M. Andrew, Luke Gregor, Judith Hauck, Corinne Le Quéré, Ingrid T. Luijkx, Are Olsen, Glen P. Peters, Wouter Peters, Julia Pongratz, Clemens Schwingshackl, Stephen Sitch, Josep G. Canadell, Philippe Ciais, Robert B. Jackson, Simone R. Alin, Ramdane Alkama, Almut Arneth, Vivek K. Arora, Nicholas R. Bates, Meike Becker, Nicolas Bellouin, Henry C. Bittig, Laurent Bopp, Frédéric Chevallier, Louise P. Chini, Margot Cronin, Wiley Evans, Stefanie Falk, Richard A. Feely, Thomas Gasser, Marion Gehlen, Thanos Gkritzalis, Lucas Gloege, Giacomo Grassi, Nicolas Gruber, Özgür Gürses, Ian Harris, Matthew Hefner, Richard A. Houghton, George C. Hurtt, Yosuke Iida, Tatiana Ilyina, Atul K. Jain, Annika Jersild, Koji Kadono, Etsushi Kato, Daniel Kennedy, Kees Klein Goldewijk, Jürgen Knauer, Jan Ivar Korsbakken, Peter Landschützer, Nathalie Lefèvre, Keith Lindsay, Junjie Liu, Zhu Liu, Gregg Marland, Nicolas Mayot, Matthew J. McGrath, Nicolas Metzl, Natalie M. Monacci, David R. Munro, Shin-Ichiro Nakaoka, Yosuke Niwa, Kevin O'Brien, Tsuneo Ono, Paul I. Palmer, Naiqing Pan, Denis Pierrot, Katie Pocock, Benjamin Poulter, Laure Resplandy, Eddy Robertson, Christian Rödenbeck, Carmen Rodriguez, Thais M. Rosan, Jörg Schwinger, Roland Séférian, Jamie D. Shutler, Ingunn Skjelvan, Tobias Steinhoff, Qing Sun, Adrienne J. Sutton, Colm Sweeney, Shintaro Takao, Toste Tanhua, Pieter P. Tans, Xiangjun Tian, Hanqin Tian, Bronte Tilbrook, Hiroyuki Tsujino, Francesco Tubiello, Guido R. van der Werf, Anthony P. Walker, Rik Wanninkhof, Chris Whitehead, Anna Willstrand Wranne, Rebecca Wright, Wenping Yuan, Chao Yue, Xu Yue, Sönke Zaehle, Jiye Zeng, and Bo Zheng
Earth Syst. Sci. Data, 14, 4811–4900, https://doi.org/10.5194/essd-14-4811-2022, https://doi.org/10.5194/essd-14-4811-2022, 2022
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The Global Carbon Budget 2022 describes the datasets and methodology used to quantify the anthropogenic emissions of carbon dioxide (CO2) and their partitioning among the atmosphere, the land ecosystems, and the ocean. These living datasets are updated every year to provide the highest transparency and traceability in the reporting of CO2, the key driver of climate change.
Marie Barbieux, Julia Uitz, Alexandre Mignot, Collin Roesler, Hervé Claustre, Bernard Gentili, Vincent Taillandier, Fabrizio D'Ortenzio, Hubert Loisel, Antoine Poteau, Edouard Leymarie, Christophe Penkerc'h, Catherine Schmechtig, and Annick Bricaud
Biogeosciences, 19, 1165–1194, https://doi.org/10.5194/bg-19-1165-2022, https://doi.org/10.5194/bg-19-1165-2022, 2022
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This study assesses marine biological production in two Mediterranean systems representative of vast desert-like (oligotrophic) areas encountered in the global ocean. We use a novel approach based on non-intrusive high-frequency in situ measurements by two profiling robots, the BioGeoChemical-Argo (BGC-Argo) floats. Our results indicate substantial yet variable production rates and contribution to the whole water column of the subsurface layer, typically considered steady and non-productive.
Matthieu Bressac, Thibaut Wagener, Nathalie Leblond, Antonio Tovar-Sánchez, Céline Ridame, Vincent Taillandier, Samuel Albani, Sophie Guasco, Aurélie Dufour, Stéphanie H. M. Jacquet, François Dulac, Karine Desboeufs, and Cécile Guieu
Biogeosciences, 18, 6435–6453, https://doi.org/10.5194/bg-18-6435-2021, https://doi.org/10.5194/bg-18-6435-2021, 2021
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Phytoplankton growth is limited by the availability of iron in about 50 % of the ocean. Atmospheric deposition of desert dust represents a key source of iron. Here, we present direct observations of dust deposition in the Mediterranean Sea. A key finding is that the input of iron from dust primarily occurred in the deep ocean, while previous studies mainly focused on the ocean surface. This new insight will enable us to better represent controls on global marine productivity in models.
France Van Wambeke, Vincent Taillandier, Karine Desboeufs, Elvira Pulido-Villena, Julie Dinasquet, Anja Engel, Emilio Marañón, Céline Ridame, and Cécile Guieu
Biogeosciences, 18, 5699–5717, https://doi.org/10.5194/bg-18-5699-2021, https://doi.org/10.5194/bg-18-5699-2021, 2021
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Simultaneous in situ measurements of (dry and wet) atmospheric deposition and biogeochemical stocks and fluxes in the sunlit waters of the open Mediterranean Sea revealed complex physical and biological processes occurring within the mixed layer. Nitrogen (N) budgets were computed to compare the sources and sinks of N in the mixed layer. The transitory effect observed after a wet dust deposition impacted the microbial food web down to the deep chlorophyll maximum.
Mara Freilich, Alexandre Mignot, Glenn Flierl, and Raffaele Ferrari
Biogeosciences, 18, 5595–5607, https://doi.org/10.5194/bg-18-5595-2021, https://doi.org/10.5194/bg-18-5595-2021, 2021
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Observations reveal that in some regions phytoplankton biomass increases during the wintertime when growth conditions are sub-optimal, which has been attributed to a release from grazing during mixed layer deepening. Measurements of grazer populations to support this theory are lacking. We demonstrate that a release from grazing when the winter mixed layer is deepening holds only for certain grazing models, extending the use of phytoplankton observations to make inferences about grazer dynamics.
Cited articles
Albernhe, S., Gorgues, T., Titaud, O., Lehodey, P., Menkes, C., and Conchon, A.: Micronekton indicators evolution based on biophysically defined provinces, in: 9th edition of the Copernicus Ocean State Report (OSR9), edited by: von Schuckmann, K., Moreira, L., de Pascual Collar, Á., Grégoire, M., Brasseur, P., Garric, G., Karstensen, J., Lionello, P., Marcos, M., Poulain, P.-M., and Staneva, J., Copernicus Publications, State Planet, 6-osr9, 4, https://doi.org/10.5194/sp-6-osr9-4-2025, 2025.
Ardyna, M., Claustre, H., Sallée, J., D'Ovidio, F., Gentili, B., Van Dijken, G., D'Ortenzio, F., and Arrigo, K. R.: Delineating environmental control of phytoplankton biomass and phenology in the Southern Ocean, Geophys. Res. Lett., 44, 5016–5024, https://doi.org/10.1002/2016GL072428, 2017.
Asch, R. G., Stock, C. A., and Sarmiento, J. L.: Climate change impacts on mismatches between phytoplankton blooms and fish spawning phenology, Glob. Change Biol., 25, 2544–2559, https://doi.org/10.1111/gcb.14650, 2019.
Baudena, A., Riom, W., Taillandier, V., Mayot, N., Mignot, A., and D'Ortenzio, F.: Comparing satellite and BGC-Argo chlorophyll estimation: A phenological study, Remote Sens. Environ., 326, 114743, https://doi.org/10.1016/j.rse.2025.114743, 2025.
Behrenfeld, M. J., Boss, E., Siegel, D. A., and Shea, D. M.: Carbon-based ocean productivity and phytoplankton physiology from space, Global Biogeochem. Cy., 19, 2004GB002299, https://doi.org/10.1029/2004GB002299, 2005.
Boyce, D. G., Petrie, B., Frank, K. T., Worm, B., and Leggett, W. C.: Environmental structuring of marine plankton phenology, Nat. Ecol. Evol., 1, 1484–1494, https://doi.org/10.1038/s41559-017-0287-3, 2017.
Capotondi, A., Alexander, M. A., Bond, N. A., Curchitser, E. N., and Scott, J. D.: Enhanced upper ocean stratification with climate change in the CMIP3 models, J. Geophys. Res., 117, https://doi.org/10.1029/2011jc007409, 2012.
Cleland, E., Chuine, I., Menzel, A., Mooney, H., and Schwartz, M.: Shifting plant phenology in response to global change, Trends Ecol. Evol., 22, 357–365, https://doi.org/10.1016/j.tree.2007.04.003, 2007.
Colella, S., Böhm, E., Cesarini, C., Jutard, Q., and Brando, V. E.: EU Copernicus Marine Service Product User Manual for Ocean Colour Products, OCEANCOLOUR_GLO_BGC_L4_MY_009_104, Issue 5.0, Mercator Ocean International, https://documentation.marine.copernicus.eu/PUM/CMEMS-OC-PUM.pdf (last access: 22 May 2025), 2024.
Cornec, M., Claustre, H., Mignot, A., Guidi, L., Lacour, L., Poteau, A., D'Ortenzio, F., Gentili, B., and Schmechtig, C.: Deep Chlorophyll Maxima in the Global Ocean: Occurrences, Drivers and Characteristics, Global Biogeochem. Cy., 35, https://doi.org/10.1029/2020gb006759, 2021.
D'Ortenzio, F. and Ribera d'Alcalà, M.: On the trophic regimes of the Mediterranean Sea: a satellite analysis, Biogeosciences, 6, 139–148, https://doi.org/10.5194/bg-6-139-2009, 2009.
D'Ortenzio, F., Antoine, D., Martinez, E., and Ribera d'Alcalà, M.: Phenological changes of oceanic phytoplankton in the 1980s and 2000s as revealed by remotely sensed ocean-color observations, Global Biogeochem. Cy., 26, 2011GB004269, https://doi.org/10.1029/2011GB004269, 2012.
EU Copernicus Marine Service Information: Global Ocean Chlorophyll-a trend map from Observations Reprocessing, omi_health_chl_global_oceancolour_trend, Mercator Ocean International [data set], https://doi.org/10.48670/moi-00230, 2020.
EU Copernicus Marine Service Information: Global Ocean Biogeochemistry Hindcast, cmems_mod_glo_bgc_my_0.25deg_P1D-m, Mercator Ocean International [data set], https://doi.org/10.48670/moi-00019, 2024.
EU Copernicus Marine Service Information: Global Ocean 3D Chlorophyll-a concentration, Particulate Backscattering coefficient, Particulate Organic Carbon, Downwelling Photosynthetic Available Radiation and downwelling irradiance at three different wavelengths (ED380, ED412 and ED490), cmems_obs-mob_glo_bgc-chl-poc_my_0.25deg_P7D-m, Mercator Ocean International [data set], https://doi.org/10.48670/moi-00046, 2025.
EU Copernicus Marine Service Product: Global Ocean Colour (Copernicus-GlobColour), Bio-Geo-Chemical, L4 (monthly and interpolated) from Satellite Observations (1997–ongoing), cmems_obs-oc_glo_bgc-plankton_my_l4-gapfree-multi-4km_P1D, Mercator Ocean International [data set], https://doi.org/10.48670/moi-00281, 2022.
Falkowski, P. G.: The role of phytoplankton photosynthesis in global biogeochemical cycles, Photosynth. Res., 39, 235–258, https://doi.org/10.1007/bf00014586, 1994.
Falkowski, P. G. and Oliver, M. J.: Mix and match: how climate selects phytoplankton, Nat. Rev. Microbiol., 5, 813–819, https://doi.org/10.1038/nrmicro1751, 2007.
Fenchel, T.: Marine Plankton Food Chains, Annu. Rev. Ecol. Syst., 19, 19–38, 1988.
Fernández-González, C., Tarran, G. A., Schuback, N., Woodward, E. M. S., Arístegui, J., and Marañón, E.: Phytoplankton responses to changing temperature and nutrient availability are consistent across the tropical and subtropical Atlantic, Commun. Biol., 5, 1035, https://doi.org/10.1038/s42003-022-03971-z, 2022.
Fisher, B. J., Poulton, A. J., Meredith, M. P., Baldry, K., Schofield, O., and Henley, S. F.: Climate-driven shifts in Southern Ocean primary producers and biogeochemistry in CMIP6 models, Biogeosciences, 22, 975–994, https://doi.org/10.5194/bg-22-975-2025, 2025.
Fossheim, M., Primicerio, R., Johannesen, E., Ingvaldsen, R. B., Aschan, M. M., and Dolgov, A. V.: Recent warming leads to a rapid borealization of fish communities in the Arctic, Nat. Clim. Change, 5, 673–677, https://doi.org/10.1038/nclimate2647, 2015.
Garnesson, P., Mangin, A., and Jutard, Q.: EU Copernicus Marine Service Quality Information Document for the Global Ocean Colour (Copernicus-GlobColour), Bio-Geo-Chemical, L4 from Satellite Observations, OCEANCOLOUR_GLO_BGC_L4_MY_009_104, Issue 5.1, Mercator Ocean International, https://documentation.marine.copernicus.eu/QUID/CMEMS-OC-QUID-009-101to104-111-113-116-118.pdf (last access: 22 May 2025), 2025.
Henson, S. A., Cole, H. S., Hopkins, J., Martin, A. P., and Yool, A.: Detection of climate change-driven trends in phytoplankton phenology, Glob. Change Biol., 24, https://doi.org/10.1111/gcb.13886, 2018.
Higgins, S. I., Buitenwerf, R., and Moncrieff, G. R.: Defining functional biomes and monitoring their change globally, Glob. Change Biol., 22, 3583–3593, https://doi.org/10.1111/gcb.13367, 2016.
Huot, Y., Babin, M., Bruyant, F., Grob, C., Twardowski, M. S., and Claustre, H.: Relationship between photosynthetic parameters and different proxies of phytoplankton biomass in the subtropical ocean, Biogeosciences, 4, 853–868, https://doi.org/10.5194/bg-4-853-2007, 2007.
Inouye, D. W.: Climate change and phenology, WIREs Climate Change, 13, e764, https://doi.org/10.1002/wcc.764, 2022.
IOCCG, Dowell, M., and Platt, T.: Partition of the Ocean into Ecological Provinces: Role of Ocean-Colour Radiometry., International Ocean Colour Coordinating Group (IOCCG), https://doi.org/10.25607/OBP-99, 2009.
Kahru, M., Brotas, V., Manzano-Sarabia, M., and Mitchell, B. G.: Are phytoplankton blooms occurring earlier in the Arctic?: Phytoplankton Blooms In The Arctic, Glob. Change Biol., 17, 1733–1739, https://doi.org/10.1111/j.1365-2486.2010.02312.x, 2011.
Kiørboe, T.: Turbulence, Phytoplankton Cell Size, and the Structure of Pelagic Food Webs, in: Advances in Marine Biology, Elsevier, 1–72, https://doi.org/10.1016/s0065-2881(08)60129-7, 1993.
Kheireddine, M., Mayot, N., Ouhssain, M., and Jones, B. H.: Regionalization of the Red Sea Based on Phytoplankton Phenology: A Satellite Analysis, J. Geophys. Res.-Oceans, 126, https://doi.org/10.1029/2021jc017486, 2021.
Lacour, L., Claustre, H., Prieur, L., and D'Ortenzio, F.: Phytoplankton biomass cycles in the North Atlantic subpolar gyre: A similar mechanism for two different blooms in the Labrador Sea, Geophys. Res. Lett., 42, 5403–5410, https://doi.org/10.1002/2015gl064540, 2015.
Li, Z., Sun, D., Wang, S., Huan, Y., Zhang, H., Yuan, Y., and He, Y.: Ocean-scale patterns of environment and climate changes driving global marine phytoplankton biomass dynamics, Sci. Adv., 10, https://doi.org/10.1126/sciadv.adm7556, 2024.
Longhurst, A.: Seasonal cycles of pelagic production and consumption, Prog. Oceanogr., 36, 77–167, https://doi.org/10.1016/0079-6611(95)00015-1, 1995.
Longhurst, A. R.: Ecological Geography of the Sea, 2nd edn., Elsevier, https://doi.org/10.1016/b978-0-12-455521-1.x5000-1, 2007.
Manizza, M., Carroll, D., Menemenlis, D., Zhang, H., and Miller, C. E.: Modeling the Recent Changes of Phytoplankton Blooms Dynamics in the Arctic Ocean, J. Geophys. Res.-Oceans, 128, e2022JC019152, https://doi.org/10.1029/2022JC019152, 2023.
Martinez, E., Antoine, D., D'Ortenzio, F., and De Boyer Montégut, C.: Phytoplankton spring and fall blooms in the North Atlantic in the 1980s and 2000s, J. Geophys. Res., 116, 2010JC006836, https://doi.org/10.1029/2010JC006836, 2011.
Mayot, N., D'Ortenzio, F., Ribera d'Alcalà, M., Lavigne, H., and Claustre, H.: Interannual variability of the Mediterranean trophic regimes from ocean color satellites, Biogeosciences, 13, 1901–1917, https://doi.org/10.5194/bg-13-1901-2016, 2016.
Mignot, A., Claustre, H., Uitz, J., Poteau, A., D'Ortenzio, F., and Xing, X.: Understanding the seasonal dynamics of phytoplankton biomass and the deep chlorophyll maximum in oligotrophic environments: A Bio-Argo float investigation, Global Biogeochem. Cy., 28, 856–876, https://doi.org/10.1002/2013gb004781, 2014.
O'Connor, M. I., Piehler, M. F., Leech, D. M., Anton, A., and Bruno, J. F.: Warming and Resource Availability Shift Food Web Structure and Metabolism, PLoS Biol., 7, e1000178, https://doi.org/10.1371/journal.pbio.1000178, 2009.
Pauthenet, E., Martinez, E., Gorgues, T., Roussillon, J., Drumetz, L., Fablet, R., and Roux, M.: Contrasted Trends in Chlorophyll-a Satellite Products, Geophys. Res. Lett., 51, e2024GL108916, https://doi.org/10.1029/2024GL108916, 2024.
Polovina, J. J., Howell, E. A., and Abecassis, M.: Ocean's least productive waters are expanding, Geophys. Res. Lett., 35, 2007GL031745, https://doi.org/10.1029/2007GL031745, 2008.
Racault, M.-F., Le Quéré, C., Buitenhuis, E., Sathyendranath, S., and Platt, T.: Phytoplankton phenology in the global ocean, Ecol. Indic., 14, 152–163, https://doi.org/10.1016/j.ecolind.2011.07.010, 2012.
Salgado-Hernanz, P. M., Racault, M.-F., Font-Muñoz, J. S., and Basterretxea, G.: Trends in phytoplankton phenology in the Mediterranean Sea based on ocean-colour remote sensing, Remote Sens. Environ., 221, 50–64, https://doi.org/10.1016/j.rse.2018.10.036, 2019.
Sapiano, M. R. P., Brown, C. W., Schollaert Uz, S., and Vargas, M.: Establishing a global climatology of marine phytoplankton phenological characteristics, J. Geophys. Res., 117, 2012JC007958, https://doi.org/10.1029/2012JC007958, 2012.
Sarmiento, J. L., Slater, R., Barber, R., Bopp, L., Doney, S. C., Hirst, A. C., Kleypas, J., Matear, R., Mikolajewicz, U., Monfray, P., Soldatov, V., Spall, S. A., and Stouffer, R.: Response of ocean ecosystems to climate warming, Global Biogeochem. Cy., 18, 2003GB002134, https://doi.org/10.1029/2003GB002134, 2004.
Sathyendranath, S., Brewin, R., Brockmann, C., Brotas, V., Calton, B., Chuprin, A., Cipollini, P., Couto, A., Dingle, J., Doerffer, R., Donlon, C., Dowell, M., Farman, A., Grant, M., Groom, S., Horseman, A., Jackson, T., Krasemann, H., Lavender, S., Martinez-Vicente, V., Mazeran, C., Mélin, F., Moore, T., Müller, D., Regner, P., Roy, S., Steele, C., Steinmetz, F., Swinton, J., Taberner, M., Thompson, A., Valente, A., Zühlke, M., Brando, V., Feng, H., Feldman, G., Franz, B., Frouin, R., Gould, R., Hooker, S., Kahru, M., Kratzer, S., Mitchell, B., Muller-Karger, F., Sosik, H., Voss, K., Werdell, J., and Platt, T.: An Ocean-Colour Time Series for Use in Climate Studies: The Experience of the Ocean-Colour Climate Change Initiative (OC-CCI), Sensors, 19, 4285, https://doi.org/10.3390/s19194285, 2019.
Sommer, U. and Lengfellner, K.: Climate change and the timing, magnitude, and composition of the phytoplankton spring bloom, Glob. Change Biol., 14, 1199–1208, https://doi.org/10.1111/j.1365-2486.2008.01571.x, 2008.
Stock, A., Subramaniam, A., Van Dijken, G. L., Wedding, L. M., Arrigo, K. R., Mills, M. M., Cameron, M. A., and Micheli, F.: Comparison of Cloud-Filling Algorithms for Marine Satellite Data, Remote Sens., 12, 3313, https://doi.org/10.3390/rs12203313, 2020.
Thomalla, S. J., Nicholson, S.-A., Ryan-Keogh, T. J., and Smith, M. E.: Widespread changes in Southern Ocean phytoplankton blooms linked to climate drivers, Nat. Clim. Chang., 13, 975–984, https://doi.org/10.1038/s41558-023-01768-4, 2023.
Vereshchaka, A. L. and Shatravin, A. V.: Chlorophyll dynamics in low latitudes unveils a new partition of the ocean, Sci. Total Environ., 966, 178697, https://doi.org/10.1016/j.scitotenv.2025.178697, 2025.
Visser, M. E. and Both, C.: Shifts in phenology due to global climate change: the need for a yardstick, Proc. R. Soc. B., 272, 2561–2569, https://doi.org/10.1098/rspb.2005.3356, 2005.
Winder, M. and Sommer, U.: Phytoplankton response to a changing climate, Hydrobiologia, 698, 5–16, https://doi.org/10.1007/s10750-012-1149-2, 2012.
Yamaguchi, R. and Suga, T.: Trend and Variability in Global Upper-Ocean Stratification Since the 1960s, J. Geophys. Res.-Oceans, 124, 8933–8948, https://doi.org/10.1029/2019jc015439, 2019.
Yamaguchi, R., Rodgers, K. B., Timmermann, A., Stein, K., Schlunegger, S., Bianchi, D., Dunne, J. P., and Slater, R. D.: Trophic level decoupling drives future changes in phytoplankton bloom phenology, Nat. Clim. Chang., 12, 469–476, https://doi.org/10.1038/s41558-022-01353-1, 2022.
Zhai, D., Beaulieu, C., and Kudela, R. M.: Long-Term Trends in the Distribution of Ocean Chlorophyll, Geophys. Res. Lett., 51, e2023GL106577, https://doi.org/10.1029/2023GL106577, 2024.
Zhai, L., Platt, T., Tang, C., Sathyendranath, S., and Walne, A.: The response of phytoplankton to climate variability associated with the North Atlantic Oscillation, Deep-Sea Res. Pt. II, 93, 159–168, https://doi.org/10.1016/j.dsr2.2013.04.009, 2013.
Short summary
Over the ocean, phytoplankton (the microscopic algae at the basis of the marine foodweb) present characteristic cyclical patterns modulated by the passage of seasons. Climate change is modifying the marine environment and these seasonal cycles. This study presents a method that identifies the geographical displacement of these cycles applied over the last 30 years of satellite observations. It suggests that cycles normally typical of low latitude regions are extending towards high latitudes.
Over the ocean, phytoplankton (the microscopic algae at the basis of the marine foodweb) present...
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