Articles | Volume 16, issue 6
https://doi.org/10.5194/essd-16-2971-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-2971-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
26 Jun 2024
Data description paper |
| 26 Jun 2024
| 26 Jun 2024
First release of the Pelagic Size Structure database: global datasets of marine size spectra obtained from plankton imaging devices
Sorbonne Université, CNRS, Laboratoire d'Océanographie de Villefranche, Villefranche-sur-Mer, France
Marco Corrales-Ugalde
CORRESPONDING AUTHOR
Atmospheric and Oceanic Sciences, Princeton University, Princeton, NJ, USA
NOAA/OAR Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA
Sorbonne Université, CNRS, Laboratoire d'Océanographie de Villefranche, Villefranche-sur-Mer, France
GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany
Todd D. O'Brien
NOAA Fisheries – Office of Science and Technology, Silver Spring, Maryland, USA
Jean-Olivier Irisson
Sorbonne Université, CNRS, Laboratoire d'Océanographie de Villefranche, Villefranche-sur-Mer, France
Fabien Lombard
Sorbonne Université, CNRS, Laboratoire d'Océanographie de Villefranche, Villefranche-sur-Mer, France
Lars Stemmann
Sorbonne Université, CNRS, Laboratoire d'Océanographie de Villefranche, Villefranche-sur-Mer, France
Charles Stock
NOAA/OAR Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA
Clarissa R. Anderson
Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
Marcel Babin
Takuvik International Research Laboratory, Quebec Ocean, Laval University (Canada) – CNRS, Departement de biologie and Quebec-Ocean, Universite Laval, Québec, Canada
Nagib Bhairy
Mediterranean Institute of Oceanography, Marseille, France
Sophie Bonnet
Mediterranean Institute of Oceanography, Marseille, France
Francois Carlotti
Mediterranean Institute of Oceanography, Marseille, France
Astrid Cornils
Polar Biological Oceanography, Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
E. Taylor Crockford
Biology Department, Woods Hole Oceanographic Institution, Woods Hole, MA, USA
Patrick Daniel
Ocean Sciences Department, University of California, Santa Cruz, Santa Cruz, CA, USA
Corinne Desnos
Institut de la mer de Villefranche-sur-Mer, Villefranche-sur-Mer, France
Laetitia Drago
Sorbonne Université, CNRS, Laboratoire d'Océanographie de Villefranche, Villefranche-sur-Mer, France
current address: Laboratoire d'Océanographie et du Climat: Expérimentations et Approches Numériques (LOCEAN-IPSL), Sorbonne Université, UMR 7159 CNRS-IRD-MNHN, Paris, France
Amanda Elineau
Institut de la mer de Villefranche-sur-Mer, Villefranche-sur-Mer, France
Alexis Fischer
Ocean Sciences Department, University of California, Santa Cruz, Santa Cruz, CA, USA
Nina Grandrémy
DECOD (Ecosystem Dynamics and Sustainability), IFREMER, INRAE, Institut Agro, Nantes, Centre Atlantique – Rue de l'Ile d'Yeu – BP 21105, 44311 Nantes CEDEX 03, France
Pierre-Luc Grondin
Takuvik International Research Laboratory, Quebec Ocean, Laval University (Canada) – CNRS, Departement de biologie and Quebec-Ocean, Universite Laval, Québec, Canada
Lionel Guidi
Sorbonne Université, CNRS, Laboratoire d'Océanographie de Villefranche, Villefranche-sur-Mer, France
Cecile Guieu
Sorbonne Université, CNRS, Laboratoire d'Océanographie de Villefranche, Villefranche-sur-Mer, France
Helena Hauss
GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany
NORCE Norwegian Research Centre, Bergen, Norway
Kendra Hayashi
Ocean Sciences Department, University of California, Santa Cruz, Santa Cruz, CA, USA
Jenny A. Huggett
Oceans and Coastal Research, Department of Forestry, Fisheries and the Environment, Cape Town, South Africa
Department of Biological Sciences, University of Cape Town, Cape Town, South Africa
Laetitia Jalabert
Institut de la mer de Villefranche-sur-Mer, Villefranche-sur-Mer, France
Lee Karp-Boss
School of Marine Sciences, University of Maine, Orono, ME, USA
Kasia M. Kenitz
Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
Raphael M. Kudela
Ocean Sciences Department, University of California, Santa Cruz, Santa Cruz, CA, USA
Magali Lescot
Mediterranean Institute of Oceanography, Marseille, France
Claudie Marec
Takuvik International Research Laboratory, Quebec Ocean, Laval University (Canada) – CNRS, Departement de biologie and Quebec-Ocean, Universite Laval, Québec, Canada
Andrew McDonnell
Oceanography Department, University of Alaska Fairbanks, Fairbanks, AK, USA
Zoe Mériguet
Sorbonne Université, CNRS, Laboratoire d'Océanographie de Villefranche, Villefranche-sur-Mer, France
Barbara Niehoff
Polar Biological Oceanography, Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
Margaux Noyon
Department of Oceanography and Institute for Coastal and Marine Research, Nelson Mandela University, Gqeberha, 6001, South Africa
Thelma Panaïotis
Sorbonne Université, CNRS, Laboratoire d'Océanographie de Villefranche, Villefranche-sur-Mer, France
current address: National Oceanography Centre, Southampton, UK
Emily Peacock
Biology Department, Woods Hole Oceanographic Institution, Woods Hole, MA, USA
Marc Picheral
Sorbonne Université, CNRS, Laboratoire d'Océanographie de Villefranche, Villefranche-sur-Mer, France
Emilie Riquier
Institut de la mer de Villefranche-sur-Mer, Villefranche-sur-Mer, France
Collin Roesler
Department of Earth and Oceanographic Science, Bowdoin College, Brunswick, ME, USA
Jean-Baptiste Romagnan
DECOD (Ecosystem Dynamics and Sustainability), IFREMER, INRAE, Institut Agro, Nantes, Centre Atlantique – Rue de l'Ile d'Yeu – BP 21105, 44311 Nantes CEDEX 03, France
Heidi M. Sosik
Biology Department, Woods Hole Oceanographic Institution, Woods Hole, MA, USA
Gretchen Spencer
School of Marine Sciences, University of Maine, Orono, ME, USA
Jan Taucher
GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany
Chloé Tilliette
Sorbonne Université, CNRS, Laboratoire d'Océanographie de Villefranche, Villefranche-sur-Mer, France
Marion Vilain
Sorbonne Université, CNRS, Laboratoire d'Océanographie de Villefranche, Villefranche-sur-Mer, France
current address: Laboratoire de Biologie des Organismes et Ecosystèmes Aquatiques, Muséum National d'Histoire Naturelle, CNRS, IRD, SU, UCN, UA, Paris, France
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Ocean alkalinity is critical to the uptake of atmospheric carbon and acidification in surface waters. We review the representation of alkalinity and the associated calcium carbonate cycle in Earth system models. While many parameterizations remain present in the latest generation of models, there is a general improvement in the simulated alkalinity distribution. This improvement is related to an increase in the export of biotic calcium carbonate, which closer resembles observations.
Patricia Ayón Dejo, Elda Luz Pinedo Arteaga, Anna Schukat, Jan Taucher, Rainer Kiko, Helena Hauss, Sabrina Dorschner, Wilhelm Hagen, Mariona Segura-Noguera, and Silke Lischka
Biogeosciences, 20, 945–969, https://doi.org/10.5194/bg-20-945-2023, https://doi.org/10.5194/bg-20-945-2023, 2023
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Ocean upwelling regions are highly productive. With ocean warming, severe changes in upwelling frequency and/or intensity and expansion of accompanying oxygen minimum zones are projected. In a field experiment off Peru, we investigated how different upwelling intensities affect the pelagic food web and found failed reproduction of dominant zooplankton. The changes projected could severely impact the reproductive success of zooplankton communities and the pelagic food web in upwelling regions.
Jens Hartmann, Niels Suitner, Carl Lim, Julieta Schneider, Laura Marín-Samper, Javier Arístegui, Phil Renforth, Jan Taucher, and Ulf Riebesell
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CO2 can be stored in the ocean via increasing alkalinity of ocean water. Alkalinity can be created via dissolution of alkaline materials, like limestone or soda. Presented research studies boundaries for increasing alkalinity in seawater. The best way to increase alkalinity was found using an equilibrated solution, for example as produced from reactors. Adding particles for dissolution into seawater on the other hand produces the risk of losing alkalinity and degassing of CO2 to the atmosphere.
Stéphanie Barrillon, Robin Fuchs, Anne A. Petrenko, Caroline Comby, Anthony Bosse, Christophe Yohia, Jean-Luc Fuda, Nagib Bhairy, Frédéric Cyr, Andrea M. Doglioli, Gérald Grégori, Roxane Tzortzis, Francesco d'Ovidio, and Melilotus Thyssen
Biogeosciences, 20, 141–161, https://doi.org/10.5194/bg-20-141-2023, https://doi.org/10.5194/bg-20-141-2023, 2023
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Extreme weather events can have a major impact on ocean physics and biogeochemistry, but their study is challenging. In May 2019, an intense storm occurred in the north-western Mediterranean Sea, during which in situ multi-platform measurements were performed. The results show a strong impact on the surface phytoplankton, highlighting the need for high-resolution measurements coupling physics and biology during these violent events that may become more common in the context of global change.
Minjin Lee, Charles A. Stock, John P. Dunne, and Elena Shevliakova
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2022-236, https://doi.org/10.5194/gmd-2022-236, 2023
Revised manuscript accepted for GMD
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Modeling global freshwater solid and nutrient loads, in both magnitude and form, is imperative for understanding emerging eutrophication problems. Such efforts, however, have been challenged by the difficulty of balancing details of freshwater biogeochemical processes with limited knowledge, input and validation datasets. Here we develop a global freshwater model that resolves intertwined algae, solid, and nutrient dynamics and provide performance assessment against measurement-based estimates.
André Valente, Shubha Sathyendranath, Vanda Brotas, Steve Groom, Michael Grant, Thomas Jackson, Andrei Chuprin, Malcolm Taberner, Ruth Airs, David Antoine, Robert Arnone, William M. Balch, Kathryn Barker, Ray Barlow, Simon Bélanger, Jean-François Berthon, Şükrü Beşiktepe, Yngve Borsheim, Astrid Bracher, Vittorio Brando, Robert J. W. Brewin, Elisabetta Canuti, Francisco P. Chavez, Andrés Cianca, Hervé Claustre, Lesley Clementson, Richard Crout, Afonso Ferreira, Scott Freeman, Robert Frouin, Carlos García-Soto, Stuart W. Gibb, Ralf Goericke, Richard Gould, Nathalie Guillocheau, Stanford B. Hooker, Chuamin Hu, Mati Kahru, Milton Kampel, Holger Klein, Susanne Kratzer, Raphael Kudela, Jesus Ledesma, Steven Lohrenz, Hubert Loisel, Antonio Mannino, Victor Martinez-Vicente, Patricia Matrai, David McKee, Brian G. Mitchell, Tiffany Moisan, Enrique Montes, Frank Muller-Karger, Aimee Neeley, Michael Novak, Leonie O'Dowd, Michael Ondrusek, Trevor Platt, Alex J. Poulton, Michel Repecaud, Rüdiger Röttgers, Thomas Schroeder, Timothy Smyth, Denise Smythe-Wright, Heidi M. Sosik, Crystal Thomas, Rob Thomas, Gavin Tilstone, Andreia Tracana, Michael Twardowski, Vincenzo Vellucci, Kenneth Voss, Jeremy Werdell, Marcel Wernand, Bozena Wojtasiewicz, Simon Wright, and Giuseppe Zibordi
Earth Syst. Sci. Data, 14, 5737–5770, https://doi.org/10.5194/essd-14-5737-2022, https://doi.org/10.5194/essd-14-5737-2022, 2022
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A compiled set of in situ data is vital to evaluate the quality of ocean-colour satellite data records. Here we describe the global compilation of bio-optical in situ data (spanning from 1997 to 2021) used for the validation of the ocean-colour products from the ESA Ocean Colour Climate Change Initiative (OC-CCI). The compilation merges and harmonizes several in situ data sources into a simple format that could be used directly for the evaluation of satellite-derived ocean-colour data.
Flavienne Bruyant, Rémi Amiraux, Marie-Pier Amyot, Philippe Archambault, Lise Artigue, Lucas Barbedo de Freitas, Guislain Bécu, Simon Bélanger, Pascaline Bourgain, Annick Bricaud, Etienne Brouard, Camille Brunet, Tonya Burgers, Danielle Caleb, Katrine Chalut, Hervé Claustre, Véronique Cornet-Barthaux, Pierre Coupel, Marine Cusa, Fanny Cusset, Laeticia Dadaglio, Marty Davelaar, Gabrièle Deslongchamps, Céline Dimier, Julie Dinasquet, Dany Dumont, Brent Else, Igor Eulaers, Joannie Ferland, Gabrielle Filteau, Marie-Hélène Forget, Jérome Fort, Louis Fortier, Martí Galí, Morgane Gallinari, Svend-Erik Garbus, Nicole Garcia, Catherine Gérikas Ribeiro, Colline Gombault, Priscilla Gourvil, Clémence Goyens, Cindy Grant, Pierre-Luc Grondin, Pascal Guillot, Sandrine Hillion, Rachel Hussherr, Fabien Joux, Hannah Joy-Warren, Gabriel Joyal, David Kieber, Augustin Lafond, José Lagunas, Patrick Lajeunesse, Catherine Lalande, Jade Larivière, Florence Le Gall, Karine Leblanc, Mathieu Leblanc, Justine Legras, Keith Lévesque, Kate-M. Lewis, Edouard Leymarie, Aude Leynaert, Thomas Linkowski, Martine Lizotte, Adriana Lopes dos Santos, Claudie Marec, Dominique Marie, Guillaume Massé, Philippe Massicotte, Atsushi Matsuoka, Lisa A. Miller, Sharif Mirshak, Nathalie Morata, Brivaela Moriceau, Philippe-Israël Morin, Simon Morisset, Anders Mosbech, Alfonso Mucci, Gabrielle Nadaï, Christian Nozais, Ingrid Obernosterer, Thimoté Paire, Christos Panagiotopoulos, Marie Parenteau, Noémie Pelletier, Marc Picheral, Bernard Quéguiner, Patrick Raimbault, Joséphine Ras, Eric Rehm, Llúcia Ribot Lacosta, Jean-François Rontani, Blanche Saint-Béat, Julie Sansoulet, Noé Sardet, Catherine Schmechtig, Antoine Sciandra, Richard Sempéré, Caroline Sévigny, Jordan Toullec, Margot Tragin, Jean-Éric Tremblay, Annie-Pier Trottier, Daniel Vaulot, Anda Vladoiu, Lei Xue, Gustavo Yunda-Guarin, and Marcel Babin
Earth Syst. Sci. Data, 14, 4607–4642, https://doi.org/10.5194/essd-14-4607-2022, https://doi.org/10.5194/essd-14-4607-2022, 2022
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This paper presents a dataset acquired during a research cruise held in Baffin Bay in 2016. We observed that the disappearance of sea ice in the Arctic Ocean increases both the length and spatial extent of the phytoplankton growth season. In the future, this will impact the food webs on which the local populations depend for their food supply and fisheries. This dataset will provide insight into quantifying these impacts and help the decision-making process for policymakers.
Rainer Kiko, Marc Picheral, David Antoine, Marcel Babin, Léo Berline, Tristan Biard, Emmanuel Boss, Peter Brandt, Francois Carlotti, Svenja Christiansen, Laurent Coppola, Leandro de la Cruz, Emilie Diamond-Riquier, Xavier Durrieu de Madron, Amanda Elineau, Gabriel Gorsky, Lionel Guidi, Helena Hauss, Jean-Olivier Irisson, Lee Karp-Boss, Johannes Karstensen, Dong-gyun Kim, Rachel M. Lekanoff, Fabien Lombard, Rubens M. Lopes, Claudie Marec, Andrew M. P. McDonnell, Daniela Niemeyer, Margaux Noyon, Stephanie H. O'Daly, Mark D. Ohman, Jessica L. Pretty, Andreas Rogge, Sarah Searson, Masashi Shibata, Yuji Tanaka, Toste Tanhua, Jan Taucher, Emilia Trudnowska, Jessica S. Turner, Anya Waite, and Lars Stemmann
Earth Syst. Sci. Data, 14, 4315–4337, https://doi.org/10.5194/essd-14-4315-2022, https://doi.org/10.5194/essd-14-4315-2022, 2022
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The term
marine particlescomprises detrital aggregates; fecal pellets; bacterioplankton, phytoplankton and zooplankton; and even fish. Here, we present a global dataset that contains 8805 vertical particle size distribution profiles obtained with Underwater Vision Profiler 5 (UVP5) camera systems. These data are valuable to the scientific community, as they can be used to constrain important biogeochemical processes in the ocean, such as the flux of carbon to the deep sea.
Gauthier Vérin, Florent Domine, Marcel Babin, Ghislain Picard, and Laurent Arnaud
The Cryosphere, 16, 3431–3449, https://doi.org/10.5194/tc-16-3431-2022, https://doi.org/10.5194/tc-16-3431-2022, 2022
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Snow physical properties on Arctic sea ice are monitored during the melt season. As snow grains grow, and the snowpack thickness is reduced, the surface albedo decreases. The extra absorbed energy accelerates melting. Radiative transfer modeling shows that more radiation is then transmitted to the snow–sea-ice interface. A sharp increase in transmitted radiation takes place when the snowpack thins significantly, and this coincides with the initiation of the phytoplankton bloom in the seawater.
Natalia Belkin, Tamar Guy-Haim, Maxim Rubin-Blum, Ayah Lazar, Guy Sisma-Ventura, Rainer Kiko, Arseniy R. Morov, Tal Ozer, Isaac Gertman, Barak Herut, and Eyal Rahav
Ocean Sci., 18, 693–715, https://doi.org/10.5194/os-18-693-2022, https://doi.org/10.5194/os-18-693-2022, 2022
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We studied how distinct water circulations that elevate (cyclone) or descend (anticyclone) water from the upper ocean affect the biomass, activity and diversity of planktonic microorganisms in the impoverished eastern Mediterranean. We show that cyclonic and anticyclonic eddies differ in their community composition and production. Moreover, the anticyclone may be a potential bio-invasion and dispersal vector, while the cyclone may serve as a thermal refugee for native species.
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.
Karine Desboeufs, Franck Fu, Matthieu Bressac, Antonio Tovar-Sánchez, Sylvain Triquet, Jean-François Doussin, Chiara Giorio, Patrick Chazette, Julie Disnaquet, Anaïs Feron, Paola Formenti, Franck Maisonneuve, Araceli Rodríguez-Romero, Pascal Zapf, François Dulac, and Cécile Guieu
Atmos. Chem. Phys., 22, 2309–2332, https://doi.org/10.5194/acp-22-2309-2022, https://doi.org/10.5194/acp-22-2309-2022, 2022
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This article reports the first concurrent sampling of wet deposition samples and surface seawater and was performed during the PEACETIME cruise in the remote Mediterranean (May–June 2017). Through the chemical composition of trace metals (TMs) in these samples, it emphasizes the decrease of atmospheric metal pollution in this area during the last few decades and the critical role of wet deposition as source of TMs for Mediterranean surface seawater, especially for intense dust deposition events.
Roxane Tzortzis, Andrea M. Doglioli, Stéphanie Barrillon, Anne A. Petrenko, Francesco d'Ovidio, Lloyd Izard, Melilotus Thyssen, Ananda Pascual, Bàrbara Barceló-Llull, Frédéric Cyr, Marc Tedetti, Nagib Bhairy, Pierre Garreau, Franck Dumas, and Gérald Gregori
Biogeosciences, 18, 6455–6477, https://doi.org/10.5194/bg-18-6455-2021, https://doi.org/10.5194/bg-18-6455-2021, 2021
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This work analyzes an original high-resolution data set collected in the Mediterranean Sea. The major result is the impact of a fine-scale frontal structure on the distribution of phytoplankton groups, in an area of moderate energy with oligotrophic conditions. Our results provide an in situ confirmation of the findings obtained by previous modeling studies and remote sensing about the structuring effect of the fine-scale ocean dynamics on the structure of the phytoplankton community.
Léo Berline, Andrea Michelangelo Doglioli, Anne Petrenko, Stéphanie Barrillon, Boris Espinasse, Frederic A. C. Le Moigne, François Simon-Bot, Melilotus Thyssen, and François Carlotti
Biogeosciences, 18, 6377–6392, https://doi.org/10.5194/bg-18-6377-2021, https://doi.org/10.5194/bg-18-6377-2021, 2021
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While the Ionian Sea is considered a nutrient-depleted and low-phytoplankton biomass area, it is a crossroad for water mass circulation. In the central Ionian Sea, we observed a strong contrast in particle distribution across a ~100 km long transect. Using remote sensing and Lagrangian simulations, we suggest that this contrast finds its origin in the long-distance transport of particles from the north, west and east of the Ionian Sea, where phytoplankton production was more intense.
Puthenveettil Narayana Menon Vinayachandran, Yukio Masumoto, Michael J. Roberts, Jenny A. Huggett, Issufo Halo, Abhisek Chatterjee, Prakash Amol, Garuda V. M. Gupta, Arvind Singh, Arnab Mukherjee, Satya Prakash, Lynnath E. Beckley, Eric Jorden Raes, and Raleigh Hood
Biogeosciences, 18, 5967–6029, https://doi.org/10.5194/bg-18-5967-2021, https://doi.org/10.5194/bg-18-5967-2021, 2021
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Upwelling in the coastal ocean triggers biological productivity and thus enhances fisheries. Therefore, understanding the phenomenon of upwelling and the underlying mechanisms is important. In this paper, the present understanding of the upwelling along the coastline of the Indian Ocean from the coast of Africa all the way up to the coast of Australia is reviewed. The review provides a synthesis of the physical processes associated with upwelling and its impact on the marine ecosystem.
Stéphanie H. M. Jacquet, Christian Tamburini, Marc Garel, Aurélie Dufour, France Van Vambeke, Frédéric A. C. Le Moigne, Nagib Bhairy, and Sophie Guasco
Biogeosciences, 18, 5891–5902, https://doi.org/10.5194/bg-18-5891-2021, https://doi.org/10.5194/bg-18-5891-2021, 2021
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We compared carbon remineralization rates (MRs) in the western and central Mediterranean Sea in late spring during the PEACETIME cruise, as assessed using the barium tracer. We reported higher and deeper (up to 1000 m depth) MRs in the western basin, potentially sustained by an additional particle export event driven by deep convection. The central basin is the site of a mosaic of blooming and non-blooming water masses and showed lower MRs that were restricted to the upper mesopelagic layer.
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.
Frédéric Gazeau, France Van Wambeke, Emilio Marañón, Maria Pérez-Lorenzo, Samir Alliouane, Christian Stolpe, Thierry Blasco, Nathalie Leblond, Birthe Zäncker, Anja Engel, Barbara Marie, Julie Dinasquet, and Cécile Guieu
Biogeosciences, 18, 5423–5446, https://doi.org/10.5194/bg-18-5423-2021, https://doi.org/10.5194/bg-18-5423-2021, 2021
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Our study shows that the impact of dust deposition on primary production depends on the initial composition and metabolic state of the tested community and is constrained by the amount of nutrients added, to sustain both the fast response of heterotrophic prokaryotes and the delayed one of phytoplankton. Under future environmental conditions, heterotrophic metabolism will be more impacted than primary production, therefore reducing the capacity of surface waters to sequester anthropogenic CO2.
Christophe Perron, Christian Katlein, Simon Lambert-Girard, Edouard Leymarie, Louis-Philippe Guinard, Pierre Marquet, and Marcel Babin
The Cryosphere, 15, 4483–4500, https://doi.org/10.5194/tc-15-4483-2021, https://doi.org/10.5194/tc-15-4483-2021, 2021
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Characterizing the evolution of inherent optical properties (IOPs) of sea ice in situ is necessary to improve climate and arctic ecosystem models. Here we present the development of an optical probe, based on the spatially resolved diffuse reflectance method, to measure IOPs of a small volume of sea ice (dm3) in situ and non-destructively. For the first time, in situ vertically resolved profiles of the dominant IOP, the reduced scattering coefficient, were obtained for interior sea ice.
Mariana Hill Cruz, Iris Kriest, Yonss Saranga José, Rainer Kiko, Helena Hauss, and Andreas Oschlies
Biogeosciences, 18, 2891–2916, https://doi.org/10.5194/bg-18-2891-2021, https://doi.org/10.5194/bg-18-2891-2021, 2021
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In this study we use a regional biogeochemical model of the eastern tropical South Pacific Ocean to implicitly simulate the effect that fluctuations in populations of small pelagic fish, such as anchovy and sardine, may have on the biogeochemistry of the northern Humboldt Current System. To do so, we vary the zooplankton mortality in the model, under the assumption that these fishes eat zooplankton. We also evaluate the model for the first time against mesozooplankton observations.
Philippe Massicotte, Rainer M. W. Amon, David Antoine, Philippe Archambault, Sergio Balzano, Simon Bélanger, Ronald Benner, Dominique Boeuf, Annick Bricaud, Flavienne Bruyant, Gwenaëlle Chaillou, Malik Chami, Bruno Charrière, Jing Chen, Hervé Claustre, Pierre Coupel, Nicole Delsaut, David Doxaran, Jens Ehn, Cédric Fichot, Marie-Hélène Forget, Pingqing Fu, Jonathan Gagnon, Nicole Garcia, Beat Gasser, Jean-François Ghiglione, Gaby Gorsky, Michel Gosselin, Priscillia Gourvil, Yves Gratton, Pascal Guillot, Hermann J. Heipieper, Serge Heussner, Stanford B. Hooker, Yannick Huot, Christian Jeanthon, Wade Jeffrey, Fabien Joux, Kimitaka Kawamura, Bruno Lansard, Edouard Leymarie, Heike Link, Connie Lovejoy, Claudie Marec, Dominique Marie, Johannie Martin, Jacobo Martín, Guillaume Massé, Atsushi Matsuoka, Vanessa McKague, Alexandre Mignot, William L. Miller, Juan-Carlos Miquel, Alfonso Mucci, Kaori Ono, Eva Ortega-Retuerta, Christos Panagiotopoulos, Tim Papakyriakou, Marc Picheral, Louis Prieur, Patrick Raimbault, Joséphine Ras, Rick A. Reynolds, André Rochon, Jean-François Rontani, Catherine Schmechtig, Sabine Schmidt, Richard Sempéré, Yuan Shen, Guisheng Song, Dariusz Stramski, Eri Tachibana, Alexandre Thirouard, Imma Tolosa, Jean-Éric Tremblay, Mickael Vaïtilingom, Daniel Vaulot, Frédéric Vaultier, John K. Volkman, Huixiang Xie, Guangming Zheng, and Marcel Babin
Earth Syst. Sci. Data, 13, 1561–1592, https://doi.org/10.5194/essd-13-1561-2021, https://doi.org/10.5194/essd-13-1561-2021, 2021
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The MALINA oceanographic expedition was conducted in the Mackenzie River and the Beaufort Sea systems. The sampling was performed across seven shelf–basin transects to capture the meridional gradient between the estuary and the open ocean. The main goal of this research program was to better understand how processes such as primary production are influencing the fate of organic matter originating from the surrounding terrestrial landscape during its transition toward the Arctic Ocean.
Gerd Krahmann, Damian L. Arévalo-Martínez, Andrew W. Dale, Marcus Dengler, Anja Engel, Nicolaas Glock, Patricia Grasse, Johannes Hahn, Helena Hauss, Mark Hopwood, Rainer Kiko, Alexandra Loginova, Carolin R. Löscher, Marie Maßmig, Alexandra-Sophie Roy, Renato Salvatteci, Stefan Sommer, Toste Tanhua, and Hela Mehrtens
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-308, https://doi.org/10.5194/essd-2020-308, 2021
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The project "Climate-Biogeochemistry Interactions in the Tropical Ocean" (SFB 754) was a multidisciplinary research project active from 2008 to 2019 aimed at a better understanding of the coupling between the tropical climate and ocean circulation and the ocean's oxygen and nutrient balance. On 34 research cruises, mainly in the Southeast Tropical Pacific and the Northeast Tropical Atlantic, 1071 physical, chemical and biological data sets were collected.
Stéphanie H. M. Jacquet, Dominique Lefèvre, Christian Tamburini, Marc Garel, Frédéric A. C. Le Moigne, Nagib Bhairy, and Sophie Guasco
Biogeosciences, 18, 2205–2212, https://doi.org/10.5194/bg-18-2205-2021, https://doi.org/10.5194/bg-18-2205-2021, 2021
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We present new data concerning the relation between biogenic barium (Baxs, a tracer of carbon remineralization at mesopelagic depths), O2 consumption and prokaryotic heterotrophic production (PHP) in the Mediterranean Sea. The purpose of this paper is to improve our understanding of the relation between Baxs, PHP and O2 and to test the validity of the Dehairs transfer function in the Mediterranean Sea. This relation has never been tested in the Mediterranean Sea.
Kahina Djaoudi, France Van Wambeke, Aude Barani, Nagib Bhairy, Servanne Chevaillier, Karine Desboeufs, Sandra Nunige, Mohamed Labiadh, Thierry Henry des Tureaux, Dominique Lefèvre, Amel Nouara, Christos Panagiotopoulos, Marc Tedetti, and Elvira Pulido-Villena
Biogeosciences, 17, 6271–6285, https://doi.org/10.5194/bg-17-6271-2020, https://doi.org/10.5194/bg-17-6271-2020, 2020
Guillermo Feliú, Marc Pagano, Pamela Hidalgo, and François Carlotti
Biogeosciences, 17, 5417–5441, https://doi.org/10.5194/bg-17-5417-2020, https://doi.org/10.5194/bg-17-5417-2020, 2020
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The impact of Saharan dust deposition events on the Mediterranean Sea ecosystem was studied during a basin-scale survey (PEACETIME cruise, May–June 2017). Short-term responses of the zooplankton community were observed after episodic dust deposition events, highlighting the impact of these events on productivity up to the zooplankton level in the poorly fertilized pelagic ecosystems of the southern Mediterranean Sea.
Claudine Hauri, Cristina Schultz, Katherine Hedstrom, Seth Danielson, Brita Irving, Scott C. Doney, Raphael Dussin, Enrique N. Curchitser, David F. Hill, and Charles A. Stock
Biogeosciences, 17, 3837–3857, https://doi.org/10.5194/bg-17-3837-2020, https://doi.org/10.5194/bg-17-3837-2020, 2020
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The coastal ecosystem of the Gulf of Alaska (GOA) is especially vulnerable to the effects of ocean acidification and climate change. To improve our conceptual understanding of the system, we developed a new regional biogeochemical model setup for the GOA. Model output suggests that bottom water is seasonally high in CO2 between June and January. Such extensive periods of reoccurring high CO2 may be harmful to ocean acidification-sensitive organisms.
Lester Kwiatkowski, Olivier Torres, Laurent Bopp, Olivier Aumont, Matthew Chamberlain, James R. Christian, John P. Dunne, Marion Gehlen, Tatiana Ilyina, Jasmin G. John, Andrew Lenton, Hongmei Li, Nicole S. Lovenduski, James C. Orr, Julien Palmieri, Yeray Santana-Falcón, Jörg Schwinger, Roland Séférian, Charles A. Stock, Alessandro Tagliabue, Yohei Takano, Jerry Tjiputra, Katsuya Toyama, Hiroyuki Tsujino, Michio Watanabe, Akitomo Yamamoto, Andrew Yool, and Tilo Ziehn
Biogeosciences, 17, 3439–3470, https://doi.org/10.5194/bg-17-3439-2020, https://doi.org/10.5194/bg-17-3439-2020, 2020
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We assess 21st century projections of marine biogeochemistry in the CMIP6 Earth system models. These models represent the most up-to-date understanding of climate change. The models generally project greater surface ocean warming, acidification, subsurface deoxygenation, and euphotic nitrate reductions but lesser primary production declines than the previous generation of models. This has major implications for the impact of anthropogenic climate change on marine ecosystems.
Anna J. Crawford, Derek Mueller, Gregory Crocker, Laurent Mingo, Luc Desjardins, Dany Dumont, and Marcel Babin
The Cryosphere, 14, 1067–1081, https://doi.org/10.5194/tc-14-1067-2020, https://doi.org/10.5194/tc-14-1067-2020, 2020
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Large tabular icebergs (
ice islands) are symbols of climate change as well as marine hazards. We measured thickness along radar transects over two visits to a 14 km2 Arctic ice island and left automated equipment to monitor surface ablation and thickness over 1 year. We assess variation in thinning rates and calibrate an ice–ocean melt model with field data. Our work contributes to understanding ice island deterioration via logistically complex fieldwork in a remote environment.
Stanford B. Hooker, Atsushi Matsuoka, Raphael M. Kudela, Youhei Yamashita, Koji Suzuki, and Henry F. Houskeeper
Biogeosciences, 17, 475–497, https://doi.org/10.5194/bg-17-475-2020, https://doi.org/10.5194/bg-17-475-2020, 2020
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A Kd(λ) and aCDOM(440) data set spanned oceanic, coastal, and inland waters. The algorithmic approach, based on Kd end-member pairs, can be used globally. End-members with the largest spectral span had an accuracy of 1.2–2.4 % (RMSE). Validation was influenced by subjective
nonconservativewater masses. The influence of subcategories was confirmed with an objective cluster analysis.
Philippe Massicotte, Rémi Amiraux, Marie-Pier Amyot, Philippe Archambault, Mathieu Ardyna, Laurent Arnaud, Lise Artigue, Cyril Aubry, Pierre Ayotte, Guislain Bécu, Simon Bélanger, Ronald Benner, Henry C. Bittig, Annick Bricaud, Éric Brossier, Flavienne Bruyant, Laurent Chauvaud, Debra Christiansen-Stowe, Hervé Claustre, Véronique Cornet-Barthaux, Pierre Coupel, Christine Cox, Aurelie Delaforge, Thibaud Dezutter, Céline Dimier, Florent Domine, Francis Dufour, Christiane Dufresne, Dany Dumont, Jens Ehn, Brent Else, Joannie Ferland, Marie-Hélène Forget, Louis Fortier, Martí Galí, Virginie Galindo, Morgane Gallinari, Nicole Garcia, Catherine Gérikas Ribeiro, Margaux Gourdal, Priscilla Gourvil, Clemence Goyens, Pierre-Luc Grondin, Pascal Guillot, Caroline Guilmette, Marie-Noëlle Houssais, Fabien Joux, Léo Lacour, Thomas Lacour, Augustin Lafond, José Lagunas, Catherine Lalande, Julien Laliberté, Simon Lambert-Girard, Jade Larivière, Johann Lavaud, Anita LeBaron, Karine Leblanc, Florence Le Gall, Justine Legras, Mélanie Lemire, Maurice Levasseur, Edouard Leymarie, Aude Leynaert, Adriana Lopes dos Santos, Antonio Lourenço, David Mah, Claudie Marec, Dominique Marie, Nicolas Martin, Constance Marty, Sabine Marty, Guillaume Massé, Atsushi Matsuoka, Lisa Matthes, Brivaela Moriceau, Pierre-Emmanuel Muller, Christopher-John Mundy, Griet Neukermans, Laurent Oziel, Christos Panagiotopoulos, Jean-Jacques Pangrazi, Ghislain Picard, Marc Picheral, France Pinczon du Sel, Nicole Pogorzelec, Ian Probert, Bernard Quéguiner, Patrick Raimbault, Joséphine Ras, Eric Rehm, Erin Reimer, Jean-François Rontani, Søren Rysgaard, Blanche Saint-Béat, Makoto Sampei, Julie Sansoulet, Catherine Schmechtig, Sabine Schmidt, Richard Sempéré, Caroline Sévigny, Yuan Shen, Margot Tragin, Jean-Éric Tremblay, Daniel Vaulot, Gauthier Verin, Frédéric Vivier, Anda Vladoiu, Jeremy Whitehead, and Marcel Babin
Earth Syst. Sci. Data, 12, 151–176, https://doi.org/10.5194/essd-12-151-2020, https://doi.org/10.5194/essd-12-151-2020, 2020
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The Green Edge initiative was developed to understand the processes controlling the primary productivity and the fate of organic matter produced during the Arctic spring bloom (PSB). In this article, we present an overview of an extensive and comprehensive dataset acquired during two expeditions conducted in 2015 and 2016 on landfast ice southeast of Qikiqtarjuaq Island in Baffin Bay.
Henk-Jan Hoving, Svenja Christiansen, Eduard Fabrizius, Helena Hauss, Rainer Kiko, Peter Linke, Philipp Neitzel, Uwe Piatkowski, and Arne Körtzinger
Ocean Sci., 15, 1327–1340, https://doi.org/10.5194/os-15-1327-2019, https://doi.org/10.5194/os-15-1327-2019, 2019
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The pelagic in situ observation system (PELAGIOS) is a towed observation system with HD video camera and environmental sensors. It is used for pelagic video transects down to 3000 m. The system enables the visualization and exploration of pelagic organisms (> 1 cm), in particular delicate gelatinous fauna, which cannot be captured by nets. The video and hydrographic data give insight into the biodiversity, abundance, and distribution of oceanic pelagic organisms from the surface to the deep sea.
Lennart Thomas Bach and Jan Taucher
Ocean Sci., 15, 1159–1175, https://doi.org/10.5194/os-15-1159-2019, https://doi.org/10.5194/os-15-1159-2019, 2019
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Diatoms are a group of phytoplankton species responsible for ~ 25 % of primary production on Earth. Ocean acidification (OA) could influence diatoms but the key question is if they become more or less important within marine food webs. We synthesize OA experiments with natural communities and found that diatoms are more likely to be positively than negatively affected by high CO2 and larger species may profit in particular. This has important implications for ecosystem services diatoms provide.
Gauthier Verin, Florent Dominé, Marcel Babin, Ghislain Picard, and Laurent Arnaud
The Cryosphere Discuss., https://doi.org/10.5194/tc-2019-113, https://doi.org/10.5194/tc-2019-113, 2019
Publication in TC not foreseen
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The results of two sampling campaigns conducted on landfast sea ice in Baffin Bay show that the melt season can be divided into four main phases during which surface albedo and snow properties show distinct signatures. A radiative transfer model was used to successfully reconstruct the albedo from snow properties. This modeling work highlights that only little changes on the very surface of the snowpack are able to dramatically change the albedo, a key element for the energy budget of sea ice.
André Valente, Shubha Sathyendranath, Vanda Brotas, Steve Groom, Michael Grant, Malcolm Taberner, David Antoine, Robert Arnone, William M. Balch, Kathryn Barker, Ray Barlow, Simon Bélanger, Jean-François Berthon, Şükrü Beşiktepe, Yngve Borsheim, Astrid Bracher, Vittorio Brando, Elisabetta Canuti, Francisco Chavez, Andrés Cianca, Hervé Claustre, Lesley Clementson, Richard Crout, Robert Frouin, Carlos García-Soto, Stuart W. Gibb, Richard Gould, Stanford B. Hooker, Mati Kahru, Milton Kampel, Holger Klein, Susanne Kratzer, Raphael Kudela, Jesus Ledesma, Hubert Loisel, Patricia Matrai, David McKee, Brian G. Mitchell, Tiffany Moisan, Frank Muller-Karger, Leonie O'Dowd, Michael Ondrusek, Trevor Platt, Alex J. Poulton, Michel Repecaud, Thomas Schroeder, Timothy Smyth, Denise Smythe-Wright, Heidi M. Sosik, Michael Twardowski, Vincenzo Vellucci, Kenneth Voss, Jeremy Werdell, Marcel Wernand, Simon Wright, and Giuseppe Zibordi
Earth Syst. Sci. Data, 11, 1037–1068, https://doi.org/10.5194/essd-11-1037-2019, https://doi.org/10.5194/essd-11-1037-2019, 2019
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A compiled set of in situ data is useful to evaluate the quality of ocean-colour satellite data records. Here we describe the compilation of global bio-optical in situ data (spanning from 1997 to 2018) used for the validation of the ocean-colour products from the ESA Ocean Colour Climate Change Initiative (OC-CCI). The compilation merges and harmonizes several in situ data sources into a simple format that could be used directly for the evaluation of satellite-derived ocean-colour data.
Jens K. Ehn, Rick A. Reynolds, Dariusz Stramski, David Doxaran, Bruno Lansard, and Marcel Babin
Biogeosciences, 16, 1583–1605, https://doi.org/10.5194/bg-16-1583-2019, https://doi.org/10.5194/bg-16-1583-2019, 2019
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Beam attenuation at 660 nm and suspended particle matter (SPM) relationships were determined during the MALINA cruise in August 2009 to the Canadian Beaufort Sea in order to expand our knowledge of particle distributions in Arctic shelf seas. The relationship was then used to determine SPM distributions for four other expeditions to the region. SPM patterns on the shelf were explained by an interplay between wind forcing, river discharge, and melting sea ice that controls the circulation.
Soeren Thomsen, Johannes Karstensen, Rainer Kiko, Gerd Krahmann, Marcus Dengler, and Anja Engel
Biogeosciences, 16, 979–998, https://doi.org/10.5194/bg-16-979-2019, https://doi.org/10.5194/bg-16-979-2019, 2019
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Physical and biogeochemical observations from an autonomous underwater vehicle in combination with ship-based measurements are used to investigate remote and local drivers of the oxygen and nutrient variability off Mauritania. Beside the transport of oxygen and nutrients characteristics from remote areas towards Mauritania also local remineralization of organic material close to the seabed seems to be important for the distribution of oxygen and nutrients.
François Carlotti, Marc Pagano, Loïc Guilloux, Katty Donoso, Valentina Valdés, Olivier Grosso, and Brian P. V. Hunt
Biogeosciences, 15, 7273–7297, https://doi.org/10.5194/bg-15-7273-2018, https://doi.org/10.5194/bg-15-7273-2018, 2018
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The paper characterizes the zooplankton community and plankton food web processes between New Caledonia and Tahiti (tropical South Pacific) during the austral summer 2015. In this region, the pelagic production depends on N2 fixation by diazotroph microorganisms on which the zooplankton community feeds, supporting a pelagic food chain ending with valuable tuna fisheries. We estimated a contribution of up to 75 % of diazotroph‐derived nitrogen to zooplankton biomass in the Melanesian archipelago.
Claudine Hauri, Seth Danielson, Andrew M. P. McDonnell, Russell R. Hopcroft, Peter Winsor, Peter Shipton, Catherine Lalande, Kathleen M. Stafford, John K. Horne, Lee W. Cooper, Jacqueline M. Grebmeier, Andrew Mahoney, Klara Maisch, Molly McCammon, Hank Statscewich, Andy Sybrandy, and Thomas Weingartner
Ocean Sci., 14, 1423–1433, https://doi.org/10.5194/os-14-1423-2018, https://doi.org/10.5194/os-14-1423-2018, 2018
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The Arctic Ocean is changing rapidly. In order to track these changes, we developed and deployed a long-term marine ecosystem observatory in the Chukchi Sea. It helps us to better understand currents, waves, sea ice, salinity, temperature, nutrient and carbon concentrations, oxygen, phytoplankton blooms and export, zooplankton abundance and vertical migration, and the occurrence of fish and marine mammals throughout the year, even during the ice covered winter months.
Valentina Valdés, François Carlotti, Ruben Escribano, Katty Donoso, Marc Pagano, Verónica Molina, and Camila Fernandez
Biogeosciences, 15, 6019–6032, https://doi.org/10.5194/bg-15-6019-2018, https://doi.org/10.5194/bg-15-6019-2018, 2018
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The role of N and P released by copepods on biogeochemical cycles and the microbial community during the OUTPACE cruise was studied. In the presence of copepods, NH4+ and DON increase, and an enhanced remineralization was observed. A shift in active bacterial composition was observed, linked with changes in nutrient concentrations. Copepods can be a source of (in)organic compounds for bacterial communities that contribute to nutrient recycling and regenerated production in the photic zone.
Cécile Dupouy, Robert Frouin, Marc Tedetti, Morgane Maillard, Martine Rodier, Fabien Lombard, Lionel Guidi, Marc Picheral, Jacques Neveux, Solange Duhamel, Bruno Charrière, and Richard Sempéré
Biogeosciences, 15, 5249–5269, https://doi.org/10.5194/bg-15-5249-2018, https://doi.org/10.5194/bg-15-5249-2018, 2018
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The marine diazotrophic Cyanobacterium Trichodesmium from the Underwater Vision Profiler 5 is concentrated in the first 50 m in the western tropical Pacific Ocean (18–22° S, 160° E–160° W). Its contribution to Tchl a and zeaxanthin is 60 % in the Melanesian archipelago and 30 % in the Fijian archipelago. Its impact on UV–VIS radiance is a peculiar signal in the green and yellow and possibly associated with backscattering or phycoerythrin fluorescence from Trichodesmium.
Astrid Cornils, Rainer Sieger, Elke Mizdalski, Stefanie Schumacher, Hannes Grobe, and Sigrid B. Schnack-Schiel
Earth Syst. Sci. Data, 10, 1457–1471, https://doi.org/10.5194/essd-10-1457-2018, https://doi.org/10.5194/essd-10-1457-2018, 2018
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Copepods are the predominant taxon in marine zooplankton and play an important role in the pelagic food web as intermediators between primary producers, the microbial loop and higher trophic levels. Here, we provide 33 data sets with abundances for a total of 312 copepod taxa from the Southern Ocean, the Magellan region, the Great Meteor Bank and the northern Red Sea, and the Gulf of Aqaba.
Martí Galí, Maurice Levasseur, Emmanuel Devred, Rafel Simó, and Marcel Babin
Biogeosciences, 15, 3497–3519, https://doi.org/10.5194/bg-15-3497-2018, https://doi.org/10.5194/bg-15-3497-2018, 2018
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We developed a new algorithm to estimate the sea-surface concentration of dimethylsulfide (DMS) using satellite data. DMS is a gas produced by marine plankton that, once emitted to the atmosphere, plays a key climatic role by seeding cloud formation. We used the algorithm to produce global DMS maps and also regional DMS time series. The latter suggest that DMS can vary largely from one year to another, which should be taken into account in atmospheric studies.
Derek P. Tittensor, Tyler D. Eddy, Heike K. Lotze, Eric D. Galbraith, William Cheung, Manuel Barange, Julia L. Blanchard, Laurent Bopp, Andrea Bryndum-Buchholz, Matthias Büchner, Catherine Bulman, David A. Carozza, Villy Christensen, Marta Coll, John P. Dunne, Jose A. Fernandes, Elizabeth A. Fulton, Alistair J. Hobday, Veronika Huber, Simon Jennings, Miranda Jones, Patrick Lehodey, Jason S. Link, Steve Mackinson, Olivier Maury, Susa Niiranen, Ricardo Oliveros-Ramos, Tilla Roy, Jacob Schewe, Yunne-Jai Shin, Tiago Silva, Charles A. Stock, Jeroen Steenbeek, Philip J. Underwood, Jan Volkholz, James R. Watson, and Nicola D. Walker
Geosci. Model Dev., 11, 1421–1442, https://doi.org/10.5194/gmd-11-1421-2018, https://doi.org/10.5194/gmd-11-1421-2018, 2018
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Model intercomparison studies in the climate and Earth sciences communities have been crucial for strengthening future projections. Given the speed and magnitude of anthropogenic change in the marine environment, the time is ripe for similar comparisons among models of fisheries and marine ecosystems. We describe the Fisheries and Marine Ecosystem Model Intercomparison Project, which brings together the marine ecosystem modelling community to inform long-term projections of marine ecosystems.
Pierre Marrec, Gérald Grégori, Andrea M. Doglioli, Mathilde Dugenne, Alice Della Penna, Nagib Bhairy, Thierry Cariou, Sandra Hélias Nunige, Soumaya Lahbib, Gilles Rougier, Thibaut Wagener, and Melilotus Thyssen
Biogeosciences, 15, 1579–1606, https://doi.org/10.5194/bg-15-1579-2018, https://doi.org/10.5194/bg-15-1579-2018, 2018
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The objective of this study was to better understand the variability of the phytoplankton community structure in small physical structures at the surface of the ocean. After identifying such a structure in the Mediterranean Sea, we deployed cutting-edge physical and biological sensors in order to observe at a high frequency the dynamics of this structure. From these observations we described the variations of the phytoplankton community structure and how the physics controls this variability.
Vincent Le Fouest, Atsushi Matsuoka, Manfredi Manizza, Mona Shernetsky, Bruno Tremblay, and Marcel Babin
Biogeosciences, 15, 1335–1346, https://doi.org/10.5194/bg-15-1335-2018, https://doi.org/10.5194/bg-15-1335-2018, 2018
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Climate warming could enhance the load of terrigenous dissolved organic carbon (tDOC) of Arctic rivers. We show that tDOC concentrations simulated by an ocean–biogeochemical model in the Canadian Beaufort Sea compare favorably with their satellite counterparts. Over spring–summer, riverine tDOC contributes to 35 % of primary production and an equivalent of ~ 10 % of tDOC is exported westwards with the potential for fueling the biological production of the eastern Alaskan nearshore waters.
Giuliana Turi, Michael Alexander, Nicole S. Lovenduski, Antonietta Capotondi, James Scott, Charles Stock, John Dunne, Jasmin John, and Michael Jacox
Ocean Sci., 14, 69–86, https://doi.org/10.5194/os-14-69-2018, https://doi.org/10.5194/os-14-69-2018, 2018
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A high-resolution global model was used to study the influence of El Niño/La Niña events on the California Current System (CalCS). The mean surface oxygen (O2) response extends well offshore, where the pH response occurs within ~ 100 km of the coast. The surface O2 (pH) is primarily driven by temperature (upwelling) changes. Below 100 m, anomalously low O2 and low pH occurred during La Niña events near the coast, potentially stressing the ecosystem, but there are large variations between events.
Alain Fumenia, Thierry Moutin, Sophie Bonnet, Mar Benavides, Anne Petrenko, Sandra Helias Nunige, and Christophe Maes
Biogeosciences Discuss., https://doi.org/10.5194/bg-2017-557, https://doi.org/10.5194/bg-2017-557, 2018
Revised manuscript not accepted
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The Melanesian archipelago waters between 160° E and 170° W are characterized by a significant N2 fixation rates and an excess of particulate organic nitrogen compared to the canonical ratio of Redfield and a positive N*. We hypothesize that the southern branch of the subtropical gyre is probably the main vector of excess nitrogen transport in the thermocline waters showing an influence of nitrogen fixation occurring in the western tropical in a large part of the South Pacific.
Emanuele Organelli, Marie Barbieux, Hervé Claustre, Catherine Schmechtig, Antoine Poteau, Annick Bricaud, Emmanuel Boss, Nathan Briggs, Giorgio Dall'Olmo, Fabrizio D'Ortenzio, Edouard Leymarie, Antoine Mangin, Grigor Obolensky, Christophe Penkerc'h, Louis Prieur, Collin Roesler, Romain Serra, Julia Uitz, and Xiaogang Xing
Earth Syst. Sci. Data, 9, 861–880, https://doi.org/10.5194/essd-9-861-2017, https://doi.org/10.5194/essd-9-861-2017, 2017
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Autonomous robotic platforms such as Biogeochemical-Argo floats allow observation of the ocean, from the surface to the interior, in a new and systematic way. A fleet of 105 of these platforms have collected several biological, biogeochemical, and optical variables in still unexplored regions. The quality-controlled databases presented here will enable scientists to improve knowledge on the functioning of marine ecosystems and investigate the climatic implications.
Björn Fiedler, Damian S. Grundle, Florian Schütte, Johannes Karstensen, Carolin R. Löscher, Helena Hauss, Hannes Wagner, Alexandra Loginova, Rainer Kiko, Péricles Silva, Toste Tanhua, and Arne Körtzinger
Biogeosciences, 13, 5633–5647, https://doi.org/10.5194/bg-13-5633-2016, https://doi.org/10.5194/bg-13-5633-2016, 2016
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Oxygen-depleted mesoscale features in the open eastern tropical North Atlantic, which are formed in the Mauritanian upwelling region, were discovered recently. This study examines biogeochemical structure and magnitudes of related processes within these isolated water masses. We found very low oxygen concentrations and strongly enhanced acidity at near-surface depth. Oxygen utilization and downward carbon export were found to exceed known values for this ocean region.
Carolin R. Löscher, Hermann W. Bange, Ruth A. Schmitz, Cameron M. Callbeck, Anja Engel, Helena Hauss, Torsten Kanzow, Rainer Kiko, Gaute Lavik, Alexandra Loginova, Frank Melzner, Judith Meyer, Sven C. Neulinger, Markus Pahlow, Ulf Riebesell, Harald Schunck, Sören Thomsen, and Hannes Wagner
Biogeosciences, 13, 3585–3606, https://doi.org/10.5194/bg-13-3585-2016, https://doi.org/10.5194/bg-13-3585-2016, 2016
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The ocean loses oxygen due to climate change. Addressing this issue in tropical ocean regions (off Peru and Mauritania), we aimed to understand the effects of oxygen depletion on various aspects of marine biogeochemistry, including primary production and export production, the nitrogen cycle, greenhouse gas production, organic matter fluxes and remineralization, and the role of zooplankton and viruses.
André Valente, Shubha Sathyendranath, Vanda Brotas, Steve Groom, Michael Grant, Malcolm Taberner, David Antoine, Robert Arnone, William M. Balch, Kathryn Barker, Ray Barlow, Simon Bélanger, Jean-François Berthon, Şükrü Beşiktepe, Vittorio Brando, Elisabetta Canuti, Francisco Chavez, Hervé Claustre, Richard Crout, Robert Frouin, Carlos García-Soto, Stuart W. Gibb, Richard Gould, Stanford Hooker, Mati Kahru, Holger Klein, Susanne Kratzer, Hubert Loisel, David McKee, Brian G. Mitchell, Tiffany Moisan, Frank Muller-Karger, Leonie O'Dowd, Michael Ondrusek, Alex J. Poulton, Michel Repecaud, Timothy Smyth, Heidi M. Sosik, Michael Twardowski, Kenneth Voss, Jeremy Werdell, Marcel Wernand, and Giuseppe Zibordi
Earth Syst. Sci. Data, 8, 235–252, https://doi.org/10.5194/essd-8-235-2016, https://doi.org/10.5194/essd-8-235-2016, 2016
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A compiled set of in situ data is important to evaluate the quality of ocean-colour satellite data records. Here we describe the compilation of global bio-optical in situ data (spanning from 1997 to 2012) used for the validation of the ocean-colour products from the ESA Ocean Colour Climate Change Initiative (OC-CCI). The compilation merges and harmonizes several in situ data sources into a simple format that could be used directly for the evaluation of satellite-derived ocean-colour data.
Marcela Cornejo D'Ottone, Luis Bravo, Marcel Ramos, Oscar Pizarro, Johannes Karstensen, Mauricio Gallegos, Marco Correa-Ramirez, Nelson Silva, Laura Farias, and Lee Karp-Boss
Biogeosciences, 13, 2971–2979, https://doi.org/10.5194/bg-13-2971-2016, https://doi.org/10.5194/bg-13-2971-2016, 2016
Rainer Kiko, Helena Hauss, Friedrich Buchholz, and Frank Melzner
Biogeosciences, 13, 2241–2255, https://doi.org/10.5194/bg-13-2241-2016, https://doi.org/10.5194/bg-13-2241-2016, 2016
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The diel vertical migration of zooplankton and nekton results in an active export of carbon and nitrogen from the oceans surface layer. In vast areas of the ocean the daytime distribution depth of migrating organisms corresponds to the core of an oxygen minimum zone (OMZ). We show that exposure to OMZ conditions can result in a strong depression of respiration and ammonium excretion in zooplankton, a fact that needs to be considered when calculating carbon and nitrogen fluxes in OMZ regions.
Helena Hauss, Svenja Christiansen, Florian Schütte, Rainer Kiko, Miryam Edvam Lima, Elizandro Rodrigues, Johannes Karstensen, Carolin R. Löscher, Arne Körtzinger, and Björn Fiedler
Biogeosciences, 13, 1977–1989, https://doi.org/10.5194/bg-13-1977-2016, https://doi.org/10.5194/bg-13-1977-2016, 2016
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In a low-oxygen eddy in the tropical Atlantic, total zooplankton biomass was increased. Larger plankton avoided the oxygen minimum zone (OMZ, < 20 µmol O2 kg−1). We identified four strategies by different plankton groups: (i) shallow OMZ avoidance and compression at surface, (ii) migration to shallow OMZ core during daytime, migration to surface at nighttime, (iii) residing in shallow OMZ day and night and (iv) migration through the shallow OMZ from oxygenated depths to surface and back.
J. Meyer, C. R. Löscher, S. C. Neulinger, A. F. Reichel, A. Loginova, C. Borchard, R. A. Schmitz, H. Hauss, R. Kiko, and U. Riebesell
Biogeosciences, 13, 781–794, https://doi.org/10.5194/bg-13-781-2016, https://doi.org/10.5194/bg-13-781-2016, 2016
A. N. Loginova, C. Borchard, J. Meyer, H. Hauss, R. Kiko, and A. Engel
Biogeosciences, 12, 6897–6914, https://doi.org/10.5194/bg-12-6897-2015, https://doi.org/10.5194/bg-12-6897-2015, 2015
A. Engel, C. Borchard, A. Loginova, J. Meyer, H. Hauss, and R. Kiko
Biogeosciences, 12, 5647–5665, https://doi.org/10.5194/bg-12-5647-2015, https://doi.org/10.5194/bg-12-5647-2015, 2015
J.-C. Miquel, B. Gasser, J. Martín, C. Marec, M. Babin, L. Fortier, and A. Forest
Biogeosciences, 12, 5103–5117, https://doi.org/10.5194/bg-12-5103-2015, https://doi.org/10.5194/bg-12-5103-2015, 2015
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POC fluxes obtained in the Eastern Beaufort Sea in August 2009 from drifting sediment traps were low (1-15 mg C m-2d-1), compared to long-term data which show higher but variable fluxes (10-40 mg C m-2d-1).
Composition of sinking particles, especially faecal pellets, highlighted the role of the zooplankton community and its trophic structure in the transition of carbon from the productive surface zone to the deep ocean. Carbon flux at this season results from a heterotrophic driven ecosystem.
W. Melle, J. A. Runge, E. Head, S. Plourde, C. Castellani, P. Licandro, J. Pierson, S. H. Jónasdóttir, C. Johnson, C. Broms, H. Debes, T. Falkenhaug, E. Gaard, A. Gislason, M. R. Heath, B. Niehoff, T. G. Nielsen, P. Pepin, E. K. Stenevik, and G. Chust
Earth Syst. Sci. Data, 7, 223–230, https://doi.org/10.5194/essd-7-223-2015, https://doi.org/10.5194/essd-7-223-2015, 2015
D. Doxaran, E. Devred, and M. Babin
Biogeosciences, 12, 3551–3565, https://doi.org/10.5194/bg-12-3551-2015, https://doi.org/10.5194/bg-12-3551-2015, 2015
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Eleven years (2003-2013) of satellite data were processed to observe the variations in suspended particulate matter concentrations at the mouth of the Mackenzie River and estimate the fluxes exported into the Canadian Arctic Ocean.
Results show that these concentrations at the river mouth, in the delta zone and in the river plume have increased by 46%, 71% and 33%, respectively, since 2003. This corresponds to a more than 50% increase in particulate export from the river into the Beaufort Sea.
V. Le Fouest, M. Manizza, B. Tremblay, and M. Babin
Biogeosciences, 12, 3385–3402, https://doi.org/10.5194/bg-12-3385-2015, https://doi.org/10.5194/bg-12-3385-2015, 2015
P. Coupel, A. Matsuoka, D. Ruiz-Pino, M. Gosselin, D. Marie, J.-É. Tremblay, and M. Babin
Biogeosciences, 12, 991–1006, https://doi.org/10.5194/bg-12-991-2015, https://doi.org/10.5194/bg-12-991-2015, 2015
E. C. Laurenceau-Cornec, T. W. Trull, D. M. Davies, S. G. Bray, J. Doran, F. Planchon, F. Carlotti, M.-P. Jouandet, A.-J. Cavagna, A. M. Waite, and S. Blain
Biogeosciences, 12, 1007–1027, https://doi.org/10.5194/bg-12-1007-2015, https://doi.org/10.5194/bg-12-1007-2015, 2015
C. A. Stock, J. P. Dunne, and J. G. John
Biogeosciences, 11, 7125–7135, https://doi.org/10.5194/bg-11-7125-2014, https://doi.org/10.5194/bg-11-7125-2014, 2014
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Climate change projections suggest large regional ocean productivity shifts for mesozooplankton, an important food resource for fish, which are amplified relative to changes in phytoplankton production. Amplification is attributed to changes in planktonic food web dynamics under global warming. Results have implications for regional economies and food security. Improved understanding of the response of plankton food webs to climate change is essential to refine amplification estimates.
J.-É. Tremblay, P. Raimbault, N. Garcia, B. Lansard, M. Babin, and J. Gagnon
Biogeosciences, 11, 4853–4868, https://doi.org/10.5194/bg-11-4853-2014, https://doi.org/10.5194/bg-11-4853-2014, 2014
F. Roullier, L. Berline, L. Guidi, X. Durrieu De Madron, M. Picheral, A. Sciandra, S. Pesant, and L. Stemmann
Biogeosciences, 11, 4541–4557, https://doi.org/10.5194/bg-11-4541-2014, https://doi.org/10.5194/bg-11-4541-2014, 2014
M.-P. Jouandet, G. A. Jackson, F. Carlotti, M. Picheral, L. Stemmann, and S. Blain
Biogeosciences, 11, 4393–4406, https://doi.org/10.5194/bg-11-4393-2014, https://doi.org/10.5194/bg-11-4393-2014, 2014
A. Matsuoka, M. Babin, D. Doxaran, S. B. Hooker, B. G. Mitchell, S. Bélanger, and A. Bricaud
Biogeosciences, 11, 3131–3147, https://doi.org/10.5194/bg-11-3131-2014, https://doi.org/10.5194/bg-11-3131-2014, 2014
A. Forest, P. Coupel, B. Else, S. Nahavandian, B. Lansard, P. Raimbault, T. Papakyriakou, Y. Gratton, L. Fortier, J.-É. Tremblay, and M. Babin
Biogeosciences, 11, 2827–2856, https://doi.org/10.5194/bg-11-2827-2014, https://doi.org/10.5194/bg-11-2827-2014, 2014
M. Zhou, Y. Zhu, F. d'Ovidio, Y.-H. Park, I. Durand, E. Kestenare, V. Sanial, P. Van-Beek, B. Queguiner, F. Carlotti, and S. Blain
Biogeosciences Discuss., https://doi.org/10.5194/bgd-11-6845-2014, https://doi.org/10.5194/bgd-11-6845-2014, 2014
Revised manuscript has not been submitted
S. Bélanger, S. A. Cizmeli, J. Ehn, A. Matsuoka, D. Doxaran, S. Hooker, and M. Babin
Biogeosciences, 10, 6433–6452, https://doi.org/10.5194/bg-10-6433-2013, https://doi.org/10.5194/bg-10-6433-2013, 2013
V. Le Fouest, B. Zakardjian, H. Xie, P. Raimbault, F. Joux, and M. Babin
Biogeosciences, 10, 4785–4800, https://doi.org/10.5194/bg-10-4785-2013, https://doi.org/10.5194/bg-10-4785-2013, 2013
D. Antoine, S. B. Hooker, S. Bélanger, A. Matsuoka, and M. Babin
Biogeosciences, 10, 4493–4509, https://doi.org/10.5194/bg-10-4493-2013, https://doi.org/10.5194/bg-10-4493-2013, 2013
M. Ardyna, M. Babin, M. Gosselin, E. Devred, S. Bélanger, A. Matsuoka, and J.-É. Tremblay
Biogeosciences, 10, 4383–4404, https://doi.org/10.5194/bg-10-4383-2013, https://doi.org/10.5194/bg-10-4383-2013, 2013
S. Bélanger, M. Babin, and J.-É. Tremblay
Biogeosciences, 10, 4087–4101, https://doi.org/10.5194/bg-10-4087-2013, https://doi.org/10.5194/bg-10-4087-2013, 2013
G. Song, H. Xie, S. Bélanger, E. Leymarie, and M. Babin
Biogeosciences, 10, 3731–3748, https://doi.org/10.5194/bg-10-3731-2013, https://doi.org/10.5194/bg-10-3731-2013, 2013
V. Le Fouest, M. Babin, and J.-É. Tremblay
Biogeosciences, 10, 3661–3677, https://doi.org/10.5194/bg-10-3661-2013, https://doi.org/10.5194/bg-10-3661-2013, 2013
Y. Huot, M. Babin, and F. Bruyant
Biogeosciences, 10, 3445–3454, https://doi.org/10.5194/bg-10-3445-2013, https://doi.org/10.5194/bg-10-3445-2013, 2013
J. Czerny, K. G. Schulz, T. Boxhammer, R. G. J. Bellerby, J. Büdenbender, A. Engel, S. A. Krug, A. Ludwig, K. Nachtigall, G. Nondal, B. Niehoff, A. Silyakova, and U. Riebesell
Biogeosciences, 10, 3109–3125, https://doi.org/10.5194/bg-10-3109-2013, https://doi.org/10.5194/bg-10-3109-2013, 2013
A. Forest, M. Babin, L. Stemmann, M. Picheral, M. Sampei, L. Fortier, Y. Gratton, S. Bélanger, E. Devred, J. Sahlin, D. Doxaran, F. Joux, E. Ortega-Retuerta, J. Martín, W. H. Jeffrey, B. Gasser, and J. Carlos Miquel
Biogeosciences, 10, 2833–2866, https://doi.org/10.5194/bg-10-2833-2013, https://doi.org/10.5194/bg-10-2833-2013, 2013
B. Niehoff, T. Schmithüsen, N. Knüppel, M. Daase, J. Czerny, and T. Boxhammer
Biogeosciences, 10, 1391–1406, https://doi.org/10.5194/bg-10-1391-2013, https://doi.org/10.5194/bg-10-1391-2013, 2013
A. Matsuoka, S. B. Hooker, A. Bricaud, B. Gentili, and M. Babin
Biogeosciences, 10, 917–927, https://doi.org/10.5194/bg-10-917-2013, https://doi.org/10.5194/bg-10-917-2013, 2013
Related subject area
Domain: ESSD – Ocean | Subject: Biological oceanography
Metazoan zooplankton in the Bay of Biscay: a 16-year record of individual sizes and abundances obtained using the ZooScan and ZooCAM imaging systems
PANABIO: a point-referenced PAN-Arctic data collection of benthic BIOtas
An update of data compilation on the biological response to ocean acidification and overview of the OA-ICC data portal
The Western Channel Observatory: a century of physical, chemical and biological data compiled from pelagic and benthic habitats in the western English Channel
A global daily gap-filled chlorophyll-a dataset in open oceans during 2001–2021 from multisource information using convolutional neural networks
A new global oceanic multi-model net primary productivity data product
MAREL Carnot data and metadata from the Coriolis data center
Bio-optical properties of the cyanobacterium Nodularia spumigena
An atlas of seabed biodiversity for Aotearoa New Zealand
A synthetic optical database generated by radiative transfer simulations in support of studies in ocean optics and optical remote sensing of the global ocean
The Coastal Surveillance Through Observation of Ocean Color (COASTℓOOC) dataset
HIPPO environmental monitoring: impact of phytoplankton dynamics on water column chemistry and the sclerochronology of the king scallop (Pecten maximus) as a biogenic archive for past primary production reconstructions
AlgaeTraits: a trait database for (European) seaweeds
How to learn more about hydrological conditions and phytoplankton dynamics and diversity in the eastern English Channel and the Southern Bight of the North Sea: the Suivi Régional des Nutriments data set (1992–2021)
Deepwater red shrimp fishery in the eastern–central Mediterranean Sea: AIS-observed monthly fishing effort and frequency over 4 years
Global dataset on seagrass meadow structure, biomass and production
The Green Edge cruise: investigating the marginal ice zone processes during late spring and early summer to understand the fate of the Arctic phytoplankton bloom
A global marine particle size distribution dataset obtained with the Underwater Vision Profiler 5
The COSMUS expedition: seafloor images and acoustic bathymetric data from the PS124 expedition to the southern Weddell Sea, Antarctica
Nina Grandremy, Paul Bourriau, Edwin Daché, Marie-Madeleine Danielou, Mathieu Doray, Christine Dupuy, Bertrand Forest, Laetitia Jalabert, Martin Huret, Sophie Le Mestre, Antoine Nowaczyk, Pierre Petitgas, Philippe Pineau, Justin Rouxel, Morgan Tardivel, and Jean-Baptiste Romagnan
Earth Syst. Sci. Data, 16, 1265–1282, https://doi.org/10.5194/essd-16-1265-2024, https://doi.org/10.5194/essd-16-1265-2024, 2024
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We present two space- and time-resolved zooplankton datasets originating from samples collected in the Bay of Biscay in spring over the 2004–2019 period and imaged with the interoperable imaging systems ZooScan and ZooCAM. These datasets are suited for long-term size-based or combined size- and taxonomy-based ecological studies of zooplankton. The set of sorted images are provided along with a set of morphological descriptors that are useful when machine learning is applied to plankton studies.
Dieter Piepenburg, Thomas Brey, Katharina Teschke, Jennifer Dannheim, Paul Kloss, Marianne Rehage, Miriam L. S. Hansen, and Casper Kraan
Earth Syst. Sci. Data, 16, 1177–1184, https://doi.org/10.5194/essd-16-1177-2024, https://doi.org/10.5194/essd-16-1177-2024, 2024
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Research on ecological footprints of climate change and human impacts in Arctic seas is still hampered by problems in accessing sound data, which is unevenly distributed among regions and faunal groups. To address this issue, we present the PAN-Arctic data collection of benthic BIOtas (PANABIO). It provides open access to valuable biodiversity information by integrating data from various sources and of various formats and offers versatile exploration tools for data filtering and mapping.
Yan Yang, Patrick Brockmann, Carolina Galdino, Uwe Schindler, and Frédéric Gazeau
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-456, https://doi.org/10.5194/essd-2023-456, 2024
Revised manuscript accepted for ESSD
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Studies investigating the effects of ocean acidification on marine organisms and communities are increasing steadily. To facilitate data comparison, a data compilation hosted at the data publisher PANGAEA was initiated in 2008 and is updated on a regular basis. By November 2023, a total of 1501 datasets (~25 million data points) from 1554 papers have been archived. To easily filter and access relevant biological response data from this compilation, a user-friendly portal was launched in 2018.
Andrea J. McEvoy, Angus Atkinson, Ruth L. Airs, Rachel Brittain, Ian Brown, Elaine S. Fileman, Helen S. Findlay, Caroline L. McNeill, Clare Ostle, Tim J. Smyth, Paul J. Somerfield, Karen Tait, Glen A. Tarran, Simon Thomas, Claire E. Widdicombe, E. Malcolm S. Woodward, Amanda Beesley, David V. P. Conway, James Fishwick, Hannah Haines, Carolyn Harris, Roger Harris, Pierre Hélaouët, David Johns, Penelope K. Lindeque, Thomas Mesher, Abigail McQuatters-Gollop, Joana Nunes, Frances Perry, Ana M. Queiros, Andrew Rees, Saskia Rühl, David Sims, Ricardo Torres, and Stephen Widdicombe
Earth Syst. Sci. Data, 15, 5701–5737, https://doi.org/10.5194/essd-15-5701-2023, https://doi.org/10.5194/essd-15-5701-2023, 2023
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Western Channel Observatory is an oceanographic time series and biodiversity reference site within 40 km of Plymouth (UK), sampled since 1903. Differing levels of reporting and formatting hamper the use of the valuable individual datasets. We provide the first summary database as monthly averages where comparisons can be made of the physical, chemical and biological data. We describe the database, illustrate its utility to examine seasonality and longer-term trends, and summarize previous work.
Zhongkun Hong, Di Long, Xingdong Li, Yiming Wang, Jianmin Zhang, Mohamed A. Hamouda, and Mohamed M. Mohamed
Earth Syst. Sci. Data, 15, 5281–5300, https://doi.org/10.5194/essd-15-5281-2023, https://doi.org/10.5194/essd-15-5281-2023, 2023
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Changes in ocean chlorophyll-a (Chl-a) concentration are related to ecosystem balance. Here, we present high-quality gap-filled Chl-a data in open oceans, reflecting the distribution and changes in global Chl-a concentration. Our findings highlight the efficacy of reconstructing missing satellite observations using convolutional neural networks. This dataset and model are valuable for research in ocean color remote sensing, offering data support and methodological references for related studies.
Thomas J. Ryan-Keogh, Sandy J. Thomalla, Nicolette Chang, and Tumelo Moalusi
Earth Syst. Sci. Data, 15, 4829–4848, https://doi.org/10.5194/essd-15-4829-2023, https://doi.org/10.5194/essd-15-4829-2023, 2023
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Oceanic productivity has been highlighted as an important environmental indicator of climate change in comparison to other existing metrics. However, the availability of these data to assess trends and trajectories is plagued with issues, such as application to only a single satellite reducing the time period for assessment. We have applied multiple algorithms to the longest ocean colour record to provide a record for assessing climate-change-driven trends.
Raed Halawi Ghosn, Émilie Poisson-Caillault, Guillaume Charria, Armel Bonnat, Michel Repecaud, Jean-Valery Facq, Loïc Quéméner, Vincent Duquesne, Camille Blondel, and Alain Lefebvre
Earth Syst. Sci. Data, 15, 4205–4218, https://doi.org/10.5194/essd-15-4205-2023, https://doi.org/10.5194/essd-15-4205-2023, 2023
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This article describes a long-term (2004–2022) dataset from an in situ instrumented station located in the eastern English Channel and belonging to the COAST-HF network (ILICO). It provides high temporal resolution (sub-hourly) oceanographic and meteorological measurements. The MAREL Carnot dataset can be used to conduct research in marine ecology, oceanography, and data science. It was utilized to characterize recurrent, rare, and extreme events in the coastal area.
Shungudzemwoyo P. Garaba, Michelle Albinus, Guido Bonthond, Sabine Flöder, Mario L. M. Miranda, Sven Rohde, Joanne Y. L. Yong, and Jochen Wollschläger
Earth Syst. Sci. Data, 15, 4163–4179, https://doi.org/10.5194/essd-15-4163-2023, https://doi.org/10.5194/essd-15-4163-2023, 2023
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These high-quality data document a harmful algal bloom dominated by Nodularia spumigena, a cyanobacterium that has been recurring in waters around the world, using advanced water observation technologies. We also showcase the benefits of experiments of opportunity and the issues with obtaining synoptic spatio-temporal data for monitoring water quality. The dataset can be leveraged to gain more knowledge on related blooms, develop detection algorithms and optimize future monitoring efforts.
Fabrice Stephenson, Tom Brough, Drew Lohrer, Daniel Leduc, Shane Geange, Owen Anderson, David Bowden, Malcolm R. Clark, Niki Davey, Enrique Pardo, Dennis P. Gordon, Brittany Finucci, Michelle Kelly, Diana Macpherson, Lisa McCartain, Sadie Mills, Kate Neill, Wendy Nelson, Rachael Peart, Matthew H. Pinkerton, Geoffrey B. Read, Jodie Robertson, Ashley Rowden, Kareen Schnabel, Andrew Stewart, Carl Struthers, Leigh Tait, Di Tracey, Shaun Weston, and Carolyn Lundquist
Earth Syst. Sci. Data, 15, 3931–3939, https://doi.org/10.5194/essd-15-3931-2023, https://doi.org/10.5194/essd-15-3931-2023, 2023
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Understanding the distribution of species that live at the seafloor is critical to the management of the marine environment but is lacking in many areas. Here, we showcase an atlas of seafloor biodiversity that describes the distribution of approximately 600 organisms throughout New Zealand’s vast marine realm. Each layer in the open-access atlas has been evaluated by leading experts and provides a key resource for the sustainable use of New Zealand's marine environment.
Hubert Loisel, Daniel Schaffer Ferreira Jorge, Rick A. Reynolds, and Dariusz Stramski
Earth Syst. Sci. Data, 15, 3711–3731, https://doi.org/10.5194/essd-15-3711-2023, https://doi.org/10.5194/essd-15-3711-2023, 2023
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Studies of light fields in aquatic environments require data from radiative transfer simulations that are free of measurement errors. In contrast to previously published synthetic optical databases, the present database was created by simulations covering a broad range of seawater optical properties that exhibit probability distributions consistent with a global ocean dominated by open-ocean pelagic environments. This database is intended to support ocean color science and applications.
Philippe Massicotte, Marcel Babin, Frank Fell, Vincent Fournier-Sicre, and David Doxaran
Earth Syst. Sci. Data, 15, 3529–3545, https://doi.org/10.5194/essd-15-3529-2023, https://doi.org/10.5194/essd-15-3529-2023, 2023
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The COASTlOOC oceanographic expeditions in 1997 and 1998 studied the relationship between seawater properties and biology and chemistry across the European coasts. The team collected data from 379 stations using ships and helicopters to support the development of ocean color remote-sensing algorithms. This unique and consistent dataset is still used today by researchers.
Valentin Siebert, Brivaëla Moriceau, Lukas Fröhlich, Bernd R. Schöne, Erwan Amice, Beatriz Beker, Kevin Bihannic, Isabelle Bihannic, Gaspard Delebecq, Jérémy Devesa, Morgane Gallinari, Yoan Germain, Émilie Grossteffan, Klaus Peter Jochum, Thierry Le Bec, Manon Le Goff, Céline Liorzou, Aude Leynaert, Claudie Marec, Marc Picheral, Peggy Rimmelin-Maury, Marie-Laure Rouget, Matthieu Waeles, and Julien Thébault
Earth Syst. Sci. Data, 15, 3263–3281, https://doi.org/10.5194/essd-15-3263-2023, https://doi.org/10.5194/essd-15-3263-2023, 2023
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This article presents an overview of the results of biological, chemical and physical parameters measured at high temporal resolution (sampling once and twice per week) during environmental monitoring that took place in 2021 in the Bay of Brest. We strongly believe that this dataset could be very useful for other scientists performing sclerochronological investigations, studying biogeochemical cycles or conducting various ecological research projects.
Sofie Vranken, Marine Robuchon, Stefanie Dekeyzer, Ignacio Bárbara, Inka Bartsch, Aurélie Blanfuné, Charles-François Boudouresque, Wim Decock, Christophe Destombe, Bruno de Reviers, Pilar Díaz-Tapia, Anne Herbst, Romain Julliard, Rolf Karez, Priit Kersen, Stacy A. Krueger-Hadfield, Ralph Kuhlenkamp, Akira F. Peters, Viviana Peña, Cristina Piñeiro-Corbeira, Fabio Rindi, Florence Rousseau, Jan Rueness, Hendrik Schubert, Kjersti Sjøtun, Marta Sansón, Dan Smale, Thierry Thibaut, Myriam Valero, Leen Vandepitte, Bart Vanhoorne, Alba Vergés, Marc Verlaque, Christophe Vieira, Line Le Gall, Frederik Leliaert, and Olivier De Clerck
Earth Syst. Sci. Data, 15, 2711–2754, https://doi.org/10.5194/essd-15-2711-2023, https://doi.org/10.5194/essd-15-2711-2023, 2023
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We present AlgaeTraits, a high-quality seaweed trait database. The data are structured within the framework of WoRMS and are supported by an expert editor community. With 45 175 trait records for 21 prioritised biological and ecological traits, and a taxonomic coverage of 1 745 European species, AlgaeTraits significantly advances previous efforts to provide standardised seaweed trait data. AlgaeTraits will serve as a foundation for future research on diversity and evolution of seaweeds.
Alain Lefebvre and David Devreker
Earth Syst. Sci. Data, 15, 1077–1092, https://doi.org/10.5194/essd-15-1077-2023, https://doi.org/10.5194/essd-15-1077-2023, 2023
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The Suivi Regional des Nutriments (SRN) data set includes long-term time series on marine phytoplankton and physicochemical measures in the eastern English Channel and the Southern Bight of the North Sea. These data sets should be useful for comparing contrasted coastal marine ecosystems to further knowledge about the direct and indirect effects of human pressures and environmental changes on ecosystem structure and function, including eutrophication and harmful algal bloom issues.
Jacopo Pulcinella, Enrico Nicola Armelloni, Carmen Ferrà, Giuseppe Scarcella, and Anna Nora Tassetti
Earth Syst. Sci. Data, 15, 809–820, https://doi.org/10.5194/essd-15-809-2023, https://doi.org/10.5194/essd-15-809-2023, 2023
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Deep-sea fishery in the Mediterranean Sea was historically driven by the commercial profitability of deepwater red shrimps. Understanding spatiotemporal dynamics of fishing is key to comprehensively evaluate the status of these resources and prevent stock collapse. The observed monthly fishing effort and frequency dataset released by the automatic identification system (AIS) may help researchers as well as those involved in fishery management and in the update of existing management plans.
Simone Strydom, Roisin McCallum, Anna Lafratta, Chanelle L. Webster, Caitlyn M. O'Dea, Nicole E. Said, Natasha Dunham, Karina Inostroza, Cristian Salinas, Samuel Billinghurst, Charlie M. Phelps, Connor Campbell, Connor Gorham, Rachele Bernasconi, Anna M. Frouws, Axel Werner, Federico Vitelli, Viena Puigcorbé, Alexandra D'Cruz, Kathryn M. McMahon, Jack Robinson, Megan J. Huggett, Sian McNamara, Glenn A. Hyndes, and Oscar Serrano
Earth Syst. Sci. Data, 15, 511–519, https://doi.org/10.5194/essd-15-511-2023, https://doi.org/10.5194/essd-15-511-2023, 2023
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Seagrasses are important underwater plants that provide valuable ecosystem services to humans, including mitigating climate change. Understanding the natural history of seagrass meadows across different types of environments is crucial to conserving seagrasses in the global ocean. This dataset contains data extracted from peer-reviewed publications and highlights which seagrasses have been studied and in which locations and is useful for pointing out which need further investigation.
Flavienne Bruyant, Rémi Amiraux, Marie-Pier Amyot, Philippe Archambault, Lise Artigue, Lucas Barbedo de Freitas, Guislain Bécu, Simon Bélanger, Pascaline Bourgain, Annick Bricaud, Etienne Brouard, Camille Brunet, Tonya Burgers, Danielle Caleb, Katrine Chalut, Hervé Claustre, Véronique Cornet-Barthaux, Pierre Coupel, Marine Cusa, Fanny Cusset, Laeticia Dadaglio, Marty Davelaar, Gabrièle Deslongchamps, Céline Dimier, Julie Dinasquet, Dany Dumont, Brent Else, Igor Eulaers, Joannie Ferland, Gabrielle Filteau, Marie-Hélène Forget, Jérome Fort, Louis Fortier, Martí Galí, Morgane Gallinari, Svend-Erik Garbus, Nicole Garcia, Catherine Gérikas Ribeiro, Colline Gombault, Priscilla Gourvil, Clémence Goyens, Cindy Grant, Pierre-Luc Grondin, Pascal Guillot, Sandrine Hillion, Rachel Hussherr, Fabien Joux, Hannah Joy-Warren, Gabriel Joyal, David Kieber, Augustin Lafond, José Lagunas, Patrick Lajeunesse, Catherine Lalande, Jade Larivière, Florence Le Gall, Karine Leblanc, Mathieu Leblanc, Justine Legras, Keith Lévesque, Kate-M. Lewis, Edouard Leymarie, Aude Leynaert, Thomas Linkowski, Martine Lizotte, Adriana Lopes dos Santos, Claudie Marec, Dominique Marie, Guillaume Massé, Philippe Massicotte, Atsushi Matsuoka, Lisa A. Miller, Sharif Mirshak, Nathalie Morata, Brivaela Moriceau, Philippe-Israël Morin, Simon Morisset, Anders Mosbech, Alfonso Mucci, Gabrielle Nadaï, Christian Nozais, Ingrid Obernosterer, Thimoté Paire, Christos Panagiotopoulos, Marie Parenteau, Noémie Pelletier, Marc Picheral, Bernard Quéguiner, Patrick Raimbault, Joséphine Ras, Eric Rehm, Llúcia Ribot Lacosta, Jean-François Rontani, Blanche Saint-Béat, Julie Sansoulet, Noé Sardet, Catherine Schmechtig, Antoine Sciandra, Richard Sempéré, Caroline Sévigny, Jordan Toullec, Margot Tragin, Jean-Éric Tremblay, Annie-Pier Trottier, Daniel Vaulot, Anda Vladoiu, Lei Xue, Gustavo Yunda-Guarin, and Marcel Babin
Earth Syst. Sci. Data, 14, 4607–4642, https://doi.org/10.5194/essd-14-4607-2022, https://doi.org/10.5194/essd-14-4607-2022, 2022
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This paper presents a dataset acquired during a research cruise held in Baffin Bay in 2016. We observed that the disappearance of sea ice in the Arctic Ocean increases both the length and spatial extent of the phytoplankton growth season. In the future, this will impact the food webs on which the local populations depend for their food supply and fisheries. This dataset will provide insight into quantifying these impacts and help the decision-making process for policymakers.
Rainer Kiko, Marc Picheral, David Antoine, Marcel Babin, Léo Berline, Tristan Biard, Emmanuel Boss, Peter Brandt, Francois Carlotti, Svenja Christiansen, Laurent Coppola, Leandro de la Cruz, Emilie Diamond-Riquier, Xavier Durrieu de Madron, Amanda Elineau, Gabriel Gorsky, Lionel Guidi, Helena Hauss, Jean-Olivier Irisson, Lee Karp-Boss, Johannes Karstensen, Dong-gyun Kim, Rachel M. Lekanoff, Fabien Lombard, Rubens M. Lopes, Claudie Marec, Andrew M. P. McDonnell, Daniela Niemeyer, Margaux Noyon, Stephanie H. O'Daly, Mark D. Ohman, Jessica L. Pretty, Andreas Rogge, Sarah Searson, Masashi Shibata, Yuji Tanaka, Toste Tanhua, Jan Taucher, Emilia Trudnowska, Jessica S. Turner, Anya Waite, and Lars Stemmann
Earth Syst. Sci. Data, 14, 4315–4337, https://doi.org/10.5194/essd-14-4315-2022, https://doi.org/10.5194/essd-14-4315-2022, 2022
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The term
marine particlescomprises detrital aggregates; fecal pellets; bacterioplankton, phytoplankton and zooplankton; and even fish. Here, we present a global dataset that contains 8805 vertical particle size distribution profiles obtained with Underwater Vision Profiler 5 (UVP5) camera systems. These data are valuable to the scientific community, as they can be used to constrain important biogeochemical processes in the ocean, such as the flux of carbon to the deep sea.
Autun Purser, Laura Hehemann, Lilian Boehringer, Ellen Werner, Santiago E. A. Pineda-Metz, Lucie Vignes, Axel Nordhausen, Moritz Holtappels, and Frank Wenzhoefer
Earth Syst. Sci. Data, 14, 3635–3648, https://doi.org/10.5194/essd-14-3635-2022, https://doi.org/10.5194/essd-14-3635-2022, 2022
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Within this paper we present the seafloor images, maps and acoustic camera data collected by a towed underwater research platform deployed in 20 locations across the eastern Weddell Sea, Antarctica, during the PS124 COSMUS expedition with the research icebreaker RV Polarstern in 2021. The 20 deployments highlight the great variability in seafloor structure and faunal communities present. Of key interest was the discovery of the largest fish nesting colony discovered globally to date.
Cited articles
Andersen, K. H., Berge, T., Gonçalves, R. J., Hartvig, M., Heuschele, J., Hylander, S., Jacobsen, N. S., Lindemann, C., Martens, E. A., Neuheimer, A. B., Olsson, K., Palacz, A., Prowe, A. E. F., Sainmont, J., Traving, S. J., Visser, A. W., Wadhwa, N., and Kiørboe, T.: Characteristic sizes of life in the oceans, from bacteria to whales, Annu. Rev. Mar. Sci., 8, 217–241, 2016. a
Armstrong, R. A. and McGehee, R.: Competitive Exclusion, Am. Nat., 115, 151–170, 1980. a
Armstrong, R. A., Lee, C., Hedges, J. I., Honjo, S., and Wakeham, S. G.: A new, mechanistic model for organic carbon fluxes in the ocean based on the quantitative association of POC with ballast minerals, Deep-Sea Res. Pt. II, 49, 219–236, https://doi.org/10.1016/S0967-0645(01)00101-1, 2001. a
Atkinson, A., Lilley, M. K., Hirst, A. G., McEvoy, A. J., Tarran, G. A., Widdicombe, C., Fileman, E. S., Woodward, E. M. S., Schmidt, K., Smyth, T. J., and Somerfield, P. J.: Increasing nutrient stress reduces the efficiency of energy transfer through planktonic size spectra, Limnol. Oceanogr., 66, 422–437, https://doi.org/10.1002/lno.11613, 2021. a, b, c, d
Atkinson, A., Rossberg, A. G., Gaedke, U., Sprules, G., Heneghan, R. F., Batziakas, S., Grigoratou, M., Fileman, E., Schmidt, K., and Frangoulis, C.: Steeper size spectra with decreasing phytoplankton biomass indicate strong trophic amplification and future fish declines, Nat. Commun., 15, 381, https://doi.org/10.1038/s41467-023-44406-5, 2024. a, b
Banas, N. S.: Adding complex trophic interactions to a size-spectral plankton model: Emergent diversity patterns and limits on predictability, Ecol. Model., 222, 2663–2675, https://doi.org/10.1016/j.ecolmodel.2011.05.018, 2011. a
Barton, A. D., Finkel, Z. V., Ward, B. A., Johns, D. G., and Follows, M. J.: On the roles of cell size and trophic strategy in North Atlantic diatom and dinoflagellate communities, Limnol. Oceanogr., 58, 254–266, https://doi.org/10.4319/lo.2013.58.1.0254, 2013. a
Basu, S. and Mackey, K.: Phytoplankton as Key Mediators of the Biological Carbon Pump: Their Responses to a Changing Climate, Sustainability, 10, 869, https://doi.org/10.3390/su10030869, 2018. a
Batten, S. D., Abu-Alhaija, R., Chiba, S., Edwards, M., Graham, G., Jyothibabu, R., Kitchener, J. A., Koubbi, P., McQuatters-Gollop, A., Muxagata, E., Ostle, C., Richardson, A. J., Robinson, K. V., Takahashi, K. T., Verheye, H. M., and Wilson, W.: A Global Plankton Diversity Monitoring Program, Front. Mar. Sci., 6, 321, https://doi.org/10.3389/fmars.2019.00321, 2019. a
Biard, T., Stemmann, L., Picheral, M., Mayot, N., Vandromme, P., Hauss, H., Gorsky, G., Guidi, L., Kiko, R., and Not, F.: In situ imaging reveals the biomass of giant protists in the global ocean, Nature, 532, 504–507, https://doi.org/10.1038/nature17652, 2016. a, b
Bisson, K. M., Kiko, R., Siegel, D. A., Guidi, L., Picheral, M., Boss, E., and Cael, B. B.: Sampling uncertainties of particle size distributions and derived fluxes, Limnol. Oceanogr.-Methods, 20, 754–767, https://doi.org/10.1002/lom3.10524, 2022. a
Boyd, P. and Newton, P.: Does planktonic community structure determine downward particulate organic carbon flux in different oceanic provinces?, Deep-Sea Res. Pt. I, 46, 63–91, 1999. a
Buitenhuis, E. T., Vogt, M., Moriarty, R., Bednaršek, N., Doney, S. C., Leblanc, K., Le Quéré, C., Luo, Y.-W., O'Brien, C., O'Brien, T., Peloquin, J., Schiebel, R., and Swan, C.: MAREDAT: towards a world atlas of MARine Ecosystem DATa, Earth Syst. Sci. Data, 5, 227–239, https://doi.org/10.5194/essd-5-227-2013, 2013. a
Cael, B. B., Cavan, E. L., and Britten, G. L.: Reconciling the Size-Dependence of Marine Particle Sinking Speed, Geophys. Res. Lett., 48, e2020GL091771, https://doi.org/10.1029/2020GL091771, 2021. a
Cavender-Bares, K. K., Rinaldo, A., and Chisholm, S. W.: Microbial size spectra from natural and nutrient enriched ecosystems, Limnol. Oceanogr., 46, 778–789, https://doi.org/10.4319/lo.2001.46.4.0778, 2001. a
Chen, B. and Liu, H.: Relationships between phytoplankton growth and cell size in surface oceans: Interactive effects of temperature, nutrients, and grazing, Limnol. Oceanogr., 55, 965–972, https://doi.org/10.4319/lo.2010.55.3.0965, 2010. a
Chiba, S., Batten, S., Martin, C. S., Ivory, S., Miloslavich, P., and Weatherdon, L. V.: Zooplankton monitoring to contribute towards addressing global biodiversity conservation challenges, J. Plankton Res., 40, 509–518, https://doi.org/10.1093/plankt/fby030, 2018. a
Chisholm, S. W.: Phytoplankton Size, in: Primary Productivity and Biogeochemical Cycles in the Sea, edited by: Falkowski, P. G., Woodhead, A. D., and Vivirito, K., Environmental Science Research, vol. 43, Springer, Boston, MA, https://doi.org/10.1007/978-1-4899-0762-2_12, 1992. a, b
Choi, H. Y., Stewart, G. M., Lomas, M. W., Kelly, R. P., and Moran, S. B.: Linking the distribution of 210Po and 210Pb with plankton community along Line P, Northeast Subarctic Pacific, J. Environ. Radioact., 138, 390–401, https://doi.org/10.1016/j.jenvrad.2014.02.009, 2014. a
Clayton, S., Alexander, H., Graff, J. R., Poulton, N. J., Thompson, L. R., Benway, H., Boss, E., and Martiny, A.: Bio-GO-SHIP: The Time Is Right to Establish Global Repeat Sections of Ocean Biology, Front. Mar. Sci., 8, 767443, https://doi.org/10.3389/fmars.2021.767443, 2022. a
Clements, D. J., Yang, S., Weber, T., McDonnell, A. M. P., Kiko, R., Stemmann, L., and Bianchi, D.: Constraining the Particle Size Distribution of Large Marine Particles in the Global Ocean With In Situ Optical Observations and Supervised Learning, Global Biogeochem. Cycles, 36, e2021GB007276, https://doi.org/10.1029/2021GB007276, 2022. a, b
Colas, F., Tardivel, M., Perchoc, J., Lunven, M., Forest, B., Guyader, G., Danielou, M., Le Mestre, S., Bourriau, P., Antajan, E., Sourisseau, M., Huret, M., Petitgas, P., and Romagnan, J.: The ZooCAM, a new in-flow imaging system for fast onboard counting, sizing and classification of fish eggs and metazooplankton, Prog. Oceanogr., 166, 54–65, https://doi.org/10.1016/j.pocean.2017.10.014, 2018. a
Cowen, R. K. and Guigand, C. M.: In situ ichthyoplankton imaging system (I SIIS): system design and preliminary results: In situ ichthyoplankton imaging system, Limnol. Oceanogr.-Methods, 6, 126–132, https://doi.org/10.4319/lom.2008.6.126, 2008. a, b
Davis, C. S., Thwaites, F. T., Gallager, S. M., and Hu, Q.: A three-axis fast-tow digital Video Plankton Recorder for rapid surveys of plankton taxa and hydrography: New Video Plankton Recorder, Limnol. Oceanogr.-Methods, 3, 59–74, https://doi.org/10.4319/lom.2005.3.59, 2005. a, b, c
Dubelaar, G. B. and Gerritzen, P. L.: CytoBuoy: a step forward towards using flow cytometry in operational oceanography, Sci. Mar., 64, 255–265, https://doi.org/10.3989/scimar.2000.64n2255, 2000. a
Dubois, C., Irisson, J., and Debreuve, E.: Correcting estimations of copepod volume from two-dimensional images, Limnol. Oceanogr.-Methods, 20, 361–371, https://doi.org/10.1002/lom3.10492, 2022. a, b
Dugenne, M., Corrales-Ugalde, M., Luo, J. Y., Stemmann, L., Irisson, J.-O., Lombard, F., O'Brien, T., Stock, C., Consortium, P. D. C., and Kiko, R.: Key link between iron and the size structure of three main mesoplanktonic groups (Crustaceans, Rhizarians, and colonial N2-fixers) in the Global Ocean, Section: New Results, 2024.03.08.584097, https://doi.org/10.1101/2024.03.08.584097, 2024a. a
Dugenne, M., Corrales-Ugalde, M., O'Brien, T., Lombard, F., Irisson, J.-O., Stemmann, L., Stock, C., Kiko, R., and Luo, J. Y.: A Pelagic Size Structure database (PSSdb) to support biogeochemical modeling: second update to first release, Zenodo [data set], https://doi.org/10.5281/zenodo.10809693 (last access: April 2024), 2024b. a, b, c, d, e, f
Durkin, C. A., Estapa, M. L., and Buesseler, K. O.: Observations of carbon export by small sinking particles in the upper mesopelagic, Mar. Chem., 175, 72–81, https://doi.org/10.1016/j.marchem.2015.02.011, 2015. a, b
Durkin, C. A., Buesseler, K. O., Cetinić, I., Estapa, M. L., Kelly, R. P., and Omand, M.: A Visual Tour of Carbon Export by Sinking Particles, Global Biogeochem. Cycles, 35, e2021GB006985, https://doi.org/10.1029/2021GB006985, 2021. a
Edwards, K. F., Thomas, M. K., Klausmeier, C. A., and Litchman, E.: Allometric scaling and taxonomic variation in nutrient utilization traits and maximum growth rate of phytoplankton, Limnol. Oceanogr., 57, 554–566, https://doi.org/10.4319/lo.2012.57.2.0554, 2012. a
Eerola, T., Batrakhanov, D., Barazandeh, N. V., Kraft, K., Haraguchi, L., Lensu, L., Suikkanen, S., Seppälä, J., Tamminen, T., and Kälviäinen, H.: Survey of Automatic Plankton Image Recognition: Challenges, Existing Solutions and Future Perspectives, https://doi.org/10.48550/arXiv.2305.11739, arXiv:2305.11739 [cs], 2023. a
Finkel, Z. V., Vaillancourt, C. J., Irwin, A. J., Reavie, E. D., and Smol, J. P.: Environmental control of diatom community size structure varies across aquatic ecosystems, Proc. Royal Soc. B., 276, 1627–1634, 2009. a
Fischer, A. D., Hayashi, K., McGaraghan, A., and Kudela, R. M.: Return of the “age of dinoflagellates” in Monterey Bay: Drivers of dinoflagellate dominance examined using automated imaging flow cytometry and long-term time series analysis, Limnol. Oceanogr., 65, 2125–2141, https://doi.org/10.1002/lno.11443, 2020. a, b
Gallager, S. M.: The Continuous Plankton Imaging and Classification Sensor (CPICS): A Sensor for Quantifying Mesoplankton Biodiversity and Community Structure, 2016, IS52A–07, American Geophysical Union, 2016AGUOSIS52A..07G, https://ui.adsabs.harvard.edu/abs/2016AGUOSIS52A..07G (last access: October 2023), 2016. a, b
García-Comas, C., Stemmann, L., Ibanez, F., Berline, L., Mazzocchi, M. G., Gasparini, S., Picheral, M., and Gorsky, G.: Zooplankton long-term changes in the NW Mediterranean Sea: Decadal periodicity forced by winter hydrographic conditions related to large-scale atmospheric changes?, J. Mar. Syst., 87, 216–226, https://doi.org/10.1016/j.jmarsys.2011.04.003, 2011. a
Gislason, A. and Silva, T.: Comparison between automated analysis of zooplankton using ZooImage and traditional methodology, J. Plankton Res., 31, 1505–1516, https://doi.org/10.1093/plankt/fbp094, 2009. a, b
Glibert, P. M.: Harmful algae at the complex nexus of eutrophication and climate change, Harmful Algae, 91, 101583, https://doi.org/10.1016/j.hal.2019.03.001, 2020. a
Gorsky, G., Ohman, M. D., Picheral, M., Gasparini, S., Stemmann, L., Romagnan, J.-B., Cawood, A., Pesant, S., Garcia-Comas, C., and Prejger, F.: Digital zooplankton image analysis using the ZooScan integrated system, J. Plankton Res., 32, 285–303, https://doi.org/10.1093/plankt/fbp124, 2010. a, b, c, d, e, f
Grandrémy, N., Bourriau, P., Daché, E., Danielou, M.-M., Doray, M., Dupuy, C., Huret, M., Jalabert, L., Le Mestre, S., Nowaczyk, A., Petitgas, P., Pineau, P., Raphalen, E., and Romagnan, J.-B.: PELGAS Bay of Biscay ZooScan zooplankton Dataset (2004–2016), SEANOE [data set], https://doi.org/10.17882/94052, 2023a. a, b
Grandrémy, N., Bourriau, P., Danielou, M.-M., Doray, M., Dupuy, C., Forest, B., Huret, M., Le Mestre, S., Nowacyk, A., Petitgas, P., Pineau, P., Rouxel, J., Tardivel, M., and Romagnan, J.-B.: PELGAS Bay of Biscay ZooCAM zooplankton Dataset (2016–2019), SEANOE [data set], https://doi.org/10.17882/94040, 2023b. a
Grandrémy, N., Romagnan, J.-B., Dupuy, C., Doray, M., Huret, M., and Petitgas, P.: Hydrology and small pelagic fish drive the spatio-temporal dynamics of springtime zooplankton assemblages over the Bay of Biscay continental shelf, Prog. Oceanogr., 210, 102949, https://doi.org/10.1016/j.pocean.2022.102949, 2023c. a, b
Grandremy, N., Bourriau, P., Daché, E., Danielou, M.-M., Doray, M., Dupuy, C., Forest, B., Jalabert, L., Huret, M., Le Mestre, S., Nowaczyk, A., Petitgas, P., Pineau, P., Rouxel, J., Tardivel, M., and Romagnan, J.-B.: Metazoan zooplankton in the Bay of Biscay: a 16-year record of individual sizes and abundances obtained using the ZooScan and ZooCAM imaging systems, Earth Syst. Sci. Data, 16, 1265–1282, https://doi.org/10.5194/essd-16-1265-2024, 2024. a
Guidi, L., Stemmann, L., Jackson, G. A., Ibanez, F., Claustre, H., Legendre, L., Picheral, M., and Gorskya, G.: Effects of phytoplankton community on production, size, and export of large aggregates: A world-ocean analysis, Limnol. Oceanogr., 54, 1951–1963, https://doi.org/10.4319/lo.2009.54.6.1951, 2009. a
Guidi, L., Chaffron, S., Bittner, L., Eveillard, D., Larhlimi, A., Roux, S., Darzi, Y., Audic, S., Berline, L., Brum, J. R., Coelho, L. P., Espinoza, J. C. I., Malviya, S., Sunagawa, S., Dimier, C., Kandels-Lewis, S., Picheral, M., Poulain, J., Searson, S., Tara Oceans Consortium Coordinators, Stemmann, L., Not, F., Hingamp, P., Speich, S., Follows, M., Karp-Boss, L., Boss, E., Ogata, H., Pesant, S., Weissenbach, J., Wincker, P., Acinas, S. G., Bork, P., De Vargas, C., Iudicone, D., Sullivan, M. B., Raes, J., Karsenti, E., Bowler, C., and Gorsky, G.: Plankton networks driving carbon export in the oligotrophic ocean, Nature, 532, 465–470, https://doi.org/10.1038/nature16942, 2016. a
Hansen, B., Bjornsen, P. K., and Hansen, P. J.: The size ratio between planktonic predators and their prey, Limnol. Oceanogr., 39, 395–403, https://doi.org/10.4319/lo.1994.39.2.0395, 1994. a, b
Harred, L. B. and Campbell, L.: Predicting harmful algal blooms: a case study with Dinophysis ovum in the Gulf of Mexico, J. Plankton Res., 36, 1434–1445, https://doi.org/10.1093/plankt/fbu070, 2014. a
Hauss, H., Schwabe, L., and Peck, M. A.: The costs and trade-offs of optimal foraging in marine fish larvae, J. Anim. Ecol., 92, 1016–1028, https://doi.org/10.1111/1365-2656.13915, 2023. a
Haëntjens, N., Boss, E. S., Graff, J. R., Chase, A. P., and Karp-Boss, L.: Phytoplankton size distributions in the western North Atlantic and their seasonal variability, Limnol. Oceanogr., 67, 1865–1878, https://doi.org/10.1002/lno.12172, 2022. a, b, c
Hirata, T., Hardman-Mountford, N. J., Brewin, R. J. W., Aiken, J., Barlow, R., Suzuki, K., Isada, T., Howell, E., Hashioka, T., Noguchi-Aita, M., and Yamanaka, Y.: Synoptic relationships between surface Chlorophyll-a and diagnostic pigments specific to phytoplankton functional types, Biogeosciences, 8, 311–327, https://doi.org/10.5194/bg-8-311-2011, 2011. a, b
Hirst, A. and Kiørboe, T.: Mortality of marine planktonic copepods: global rates and patterns, Mar. Ecol. Prog. Ser., 230, 195–209, https://doi.org/10.3354/meps230195, 2002. a
Hopcroft, R. R., Roff, J. C., Webber, M. K., and Witt, J. D. S.: Zooplankton growth rates: the influence of size and resources in tropical marine copepodites, Mar. Biol., 132, 67–77, https://doi.org/10.1007/s002270050372, 1998. a
Huete-Ortega, M., Cermeño, P., Calvo-Díaz, A., and Marañón, E.: Isometric size-scaling of metabolic rate and the size abundance distribution of phytoplankton, P. Roy. Soc. B., 279, 1815–1823, https://doi.org/10.1098/rspb.2011.2257, 2012. a
Ikeda, T.: Respiration and ammonia excretion by marine metazooplankton taxa: synthesis toward a global-bathymetric model, Mar. Biol., 161, 2753–2766, 2014. a
Irisson, J.-O., Ayata, S.-D., Lindsay, D. J., Karp-Boss, L., and Stemmann, L.: Machine learning for the study of plankton and marine snow from images, Annu. Rev. Mar. Sci., 14, 277–301, 2022. a
Jalabert, L., Picheral, M., Desnos, C., and Elineau, A.: ZooScan Protocol, https://www.protocols.io/view/zooscan-protocol-bziyp4fw (last access: October 2023), 2022. a
Jonasz, M. and Fournier, G.: Approximation of the size distribution of marine particles by a sum of log-normal functions, Limnol. Oceanogr., 41, 744–754, https://doi.org/10.4319/lo.1996.41.4.0744, 1996. a
Juranek, L. W., White, A. E., Dugenne, M., Henderikx Freitas, F., Dutkiewicz, S., Ribalet, F., Ferrón, S., Armbrust, E. V., and Karl, D. M.: The Importance of the Phytoplankton “Middle Class” to Ocean Net Community Production, Global Biogeochem. Cycles, 34, e2020GB006702, https://doi.org/10.1029/2020GB006702, 2020. a
Kiko, R., Biastoch, A., Brandt, P., Cravatte, S., Hauss, H., Hummels, R., Kriest, I., Marin, F., McDonnell, A. M. P., Oschlies, A., Picheral, M., Schwarzkopf, F. U., Thurnherr, A. M., and Stemmann, L.: Biological and physical influences on marine snowfall at the equator, Nat. Geosci, 10, 852–858, 2017. a
Kiko, R., Brandt, P., Christiansen, S., Faustmann, J., Kriest, I., Rodrigues, E., Schütte, F., and Hauss, H.: Zooplankton-Mediated Fluxes in the Eastern Tropical North Atlantic, Front. Mar. Sci., 7, 358, https://doi.org/10.3389/fmars.2020.00358, 2020. a, b
Kiko, R., Picheral, M., Antoine, D., Babin, M., Berline, L., Biard, T., Boss, E., Brandt, P., Carlotti, F., Christiansen, S., Coppola, L., de la Cruz, L., Diamond-Riquier, E., Durrieu de Madron, X., Elineau, A., Gorsky, G., Guidi, L., Hauss, H., Irisson, J.-O., Karp-Boss, L., Karstensen, J., Kim, D., Lekanoff, R. M., Lombard, F., Lopes, R. M., Marec, C., McDonnell, A. M. P., Niemeyer, D., Noyon, M., O'Daly, S. H., Ohman, M. D., Pretty, J. L., Rogge, A., Searson, S., Shibata, M., Tanaka, Y., Tanhua, T., Taucher, J., Trudnowska, E., Turner, J. S., Waite, A., and Stemmann, L.: A global marine particle size distribution dataset obtained with the Underwater Vision Profiler 5, Earth Syst. Sci. Data, 14, 4315–4337, https://doi.org/10.5194/essd-14-4315-2022, 2022. a, b, c, d, e, f, g, h, i
Kiørboe, T. and Hirst, A. G.: Shifts in Mass Scaling of Respiration, Feeding, and Growth Rates across Life-Form Transitions in Marine Pelagic Organisms, Am. Nat., 183, E118–E130, https://doi.org/10.1086/675241, 2014. a, b
Kostadinov, T. S., Siegel, D. A., and Maritorena, S.: Retrieval of the particle size distribution from satellite ocean color observations, J. Geophys. Res., 114, C09015, https://doi.org/10.1029/2009JC005303, 2009. a, b, c
Kostadinov, T. S., Robertson Lain, L., Kong, C. E., Zhang, X., Maritorena, S., Bernard, S., Loisel, H., Jorge, D. S. F., Kochetkova, E., Roy, S., Jonsson, B., Martinez-Vicente, V., and Sathyendranath, S.: Ocean color algorithm for the retrieval of the particle size distribution and carbon-based phytoplankton size classes using a two-component coated-sphere backscattering model, Ocean Sci., 19, 703–727, https://doi.org/10.5194/os-19-703-2023, 2023. a
Kraft, K., Velhonoja, O., Eerola, T., Suikkanen, S., Tamminen, T., Haraguchi, L., Ylöstalo, P., Kielosto, S., Johansson, M., Lensu, L., Kälviäinen, H., Haario, H., and Seppälä, J.: Towards operational phytoplankton recognition with automated high-throughput imaging, near-real-time data processing, and convolutional neural networks, Front. Mar. Sci., 9, 867695, https://doi.org/10.3389/fmars.2022.867695, 2022. a, b
Leblanc, K., Quéguiner, B., Diaz, F., Cornet, V., Michel-Rodriguez, M., Durrieu De Madron, X., Bowler, C., Malviya, S., Thyssen, M., Grégori, G., Rembauville, M., Grosso, O., Poulain, J., De Vargas, C., Pujo-Pay, M., and Conan, P.: Nanoplanktonic diatoms are globally overlooked but play a role in spring blooms and carbon export, Nat. Commun., 9, 953, https://doi.org/10.1038/s41467-018-03376-9, 2018. a
Legendre, L. and Le Fèvre, J.: Microbial food webs and the export of biogenic carbon in oceans, Aquat. Microb. Ecol., 09, 69–77, https://doi.org/10.3354/ame009069, 1995. a
Lehette, P. and Hernández-León, S.: Zooplankton biomass estimation from digitized images: a comparison between subtropical and Antarctic organisms, Limnol. Oceanogr.-Methods, 7, 304–308, https://doi.org/10.4319/lom.2009.7.304, 2009. a, b, c
Ljungström, G., Claireaux, M., Fiksen, Ã., and Jørgensen, C.: Body size adaptions under climate change: zooplankton community more important than temperature or food abundance in model of a zooplanktivorous fish, Mar. Ecol. Prog. Ser., 636, 1–18, https://doi.org/10.3354/meps13241, 2020. a
Lomas, M. W. and Moran, S. B.: Evidence for aggregation and export of cyanobacteria and nano-eukaryotes from the Sargasso Sea euphotic zone, Biogeosciences, 8, 203–216, https://doi.org/10.5194/bg-8-203-2011, 2011. a
Lombard, F., Boss, E., Waite, A. M., Vogt, M., Uitz, J., Stemmann, L., Sosik, H. M., Schulz, J., Romagnan, J.-B., Picheral, M., Pearlman, J., Ohman, M. D., Niehoff, B., Möller, K. O., Miloslavich, P., Lara-Lpez, A., Kudela, R., Lopes, R. M., Kiko, R., Karp-Boss, L., Jaffe, J. S., Iversen, M. H., Irisson, J.-O., Fennel, K., Hauss, H., Guidi, L., Gorsky, G., Giering, S. L. C., Gaube, P., Gallager, S., Dubelaar, G., Cowen, R. K., Carlotti, F., Briseño-Avena, C., Berline, L., Benoit-Bird, K., Bax, N., Batten, S., Ayata, S. D., Artigas, L. F., and Appeltans, W.: Globally consistent quantitative observations of planktonic ecosystems, Front. Mar. Sci., 6, 196, https://doi.org/10.3389/fmars.2019.00196, 2019. a, b, c, d, e, f, g, h
Luo, J. Y., Irisson, J.-O., Graham, B., Guigand, C., Sarafraz, A., Mader, C., and Cowen, R. K.: Automated plankton image analysis using convolutional neural networks, Limnol. Oceanogr.-Methods, 16, 814–827, 2018. a
Luo, J. Y., Corrales-Ugalde, M., Dugenne, M., and Kiko, R.: jessluo/PSSdb: A Pelagic Size Structure database (PSSdb) to support biogeochemical modeling: third update to first release (v2024-04), Zenodo [code], https://doi.org/10.5281/zenodo.11983391, 2024. a
Maas, A. E., Miccoli, A., Stamieszkin, K., Carlson, C. A., and Steinberg, D. K.: Allometry and the calculation of zooplankton metabolism in the subarctic Northeast Pacific Ocean, J. Plankton Res., 43, 413–427, https://doi.org/10.1093/plankt/fbab026, 2021. a
Marañón, E., Holligan, P., Barciela, R., González, N., Mouriño, B., Pazó, M., and Varela, M.: Patterns of phytoplankton size structure and productivity in contrasting open-ocean environments, Mar. Ecol. Prog. Ser., 216, 43–56, https://doi.org/10.3354/meps216043, 2001. a
Marcolin, C. D. R., Schultes, S., Jackson, G. A., and Lopes, R. M.: Plankton and seston size spectra estimated by the LOPC and ZooScan in the Abrolhos Bank ecosystem (SE Atlantic), Cont. Shelf Res., 70, 74–87, https://doi.org/10.1016/j.csr.2013.09.022, 2013. a
Martin-Cabrera, P., Perez Perez, R., Irrison, J.-O., Lombard, F., Ove Möller, K., Rühl, S., Creach, V., Lindh, M., Stemmann, L., and Schepers, L.: Establishing Plankton Imagery Dataflows Towards International Biodiversity Data Aggregators, Biodiversity Information Science and Standards, 6, e94196, https://doi.org/10.3897/biss.6.94196, 2022. a
McConville, K., Atkinson, A., Fileman, E. S., Spicer, J. I., and Hirst, A. G.: Disentangling the counteracting effects of water content and carbon mass on zooplankton growth, J. Plankton Res., 39, 246–256, https://doi.org/10.1093/plankt/fbw094, 2017. a
Menden-Deuer, S. and Lessard, E. J.: Carbon to volume relationships for dinoflagellates, diatoms, and other protist plankton, Limnol. Oceanogr., 45, 569–579, https://doi.org/10.4319/lo.2000.45.3.0569, 2000. a
Menden-Deuer, S., Slade, W. H., and Dierssen, H.: Promoting Instrument Development for New Research Avenues in Ocean Science: Opening the Black Box of Grazing, Front. Mar. Sci., 8, 695938, https://doi.org/10.3389/fmars.2021.695938, 2021. a
Miloslavich, P., Bax, N. J., Simmons, S. E., Klein, E., Appeltans, W., Aburto-Oropeza, O., Andersen Garcia, M., Batten, S. D., Benedetti-Cecchi, L., Checkley, D. M., Chiba, S., Duffy, J. E., Dunn, D. C., Fischer, A., Gunn, J., Kudela, R., Marsac, F., Muller-Karger, F. E., Obura, D., and Shin, Y.: Essential ocean variables for global sustained observations of biodiversity and ecosystem changes, Global Change Biol., 24, 2416–2433, https://doi.org/10.1111/gcb.14108, 2018. a
Moberg, E. A. and Sosik, H. M.: Distance maps to estimate cell volume from two-dimensional plankton images: Distance map cell volume algorithm, Limnol. Oceanogr.-Methods, 10, 278–288, https://doi.org/10.4319/lom.2012.10.278, 2012. a, b, c
Moriarty, R. and O'Brien, T. D.: Distribution of mesozooplankton biomass in the global ocean, Earth Syst. Sci. Data, 5, 45–55, https://doi.org/10.5194/essd-5-45-2013, 2013. a
Moscoso, J. E., Bianchi, D., and Stewart, A. L.: Controls and characteristics of biomass quantization in size-structured planktonic ecosystem models, Ecol. Model., 468, 109907, https://doi.org/10.1016/j.ecolmodel.2022.109907, 2022. a, b
Neeley, A., Beaulieu, S. E., Proctor, C., Cetinić, I., Futrelle, J., Soto Ramos, I., Sosik, H. M., Devred, E., Karp-Boss, L., Picheral, M., Poulton, N., Roesler, C. S., and Shepherd, A.: Standards and practices for reporting plankton and other particle observations from images, Woods Hole Oceanographic Institution, https://hdl.handle.net/1912/27377 (last access: October 2023), 2021. a, b
Negrete-García, G., Luo, J. Y., Long, M. C., Lindsay, K., Levy, M., and Barton, A. D.: Plankton energy flows using a global size-structured and trait-based model, Prog. Oceanogr., 209, 102898, https://doi.org/10.1016/j.pocean.2022.102898, 2022. a
Noyon, M., Poulton, A. J., Asdar, S., Weitz, R., and Giering, S. L. C.: Mesozooplankton community distribution on the Agulhas Bank in autumn: Size structure and production, Deep-Sea Res. Pt. II, 195, 105015, https://doi.org/10.1016/j.dsr2.2021.105015, 2022. a
Ohman, M. D. and Romagnan, J.: Nonlinear effects of body size and optical attenuation on Diel Vertical Migration by zooplankton, Limnol. Oceanogr., 61, 765–770, https://doi.org/10.1002/lno.10251, 2016. a
Ohman, M. D., Davis, R. E., Sherman, J. T., Grindley, K. R., Whitmore, B. M., Nickels, C. F., and Ellen, J. S.: Zooglider: An autonomous vehicle for optical and acoustic sensing of zooplankton, Limnol. Oceanogr.-Methods, 17, 69–86, https://doi.org/10.1002/lom3.10301, 2019. a, b
Olson, R. J. and Sosik, H. M.: A submersible imaging-in-flow instrument to analyze nano-and microplankton: Imaging FlowCytobot: In situ imaging of nano- and microplankton, Limnol. Oceanogr.-Methods, 5, 195–203, https://doi.org/10.4319/lom.2007.5.195, 2007. a, b, c
Orenstein, E. C., Ayata, S.-D., Maps, F., Becker, Ã. C., Benedetti, F., Biard, T., de Garidel-Thoron, T., Ellen, J. S., Ferrario, F., Giering, S. L. C., Guy-Haim, T., Hoebeke, L., Iversen, M. H., Kiørboe, T., Lalonde, J.-F., Lana, A., Laviale, M., Lombard, F., Lorimer, T., Martini, S., Meyer, A., Möller, K. O., Niehoff, B., Ohman, M. D., Pradalier, C., Romagnan, J.-B., Schröder, S.-M., Sonnet, V., Sosik, H. M., Stemmann, L. S., Stock, M., Terbiyik-Kurt, T., Valcárcel-Pérez, N., Vilgrain, L., Wacquet, G., Waite, A. M., and Irisson, J.-O.: Machine learning techniques to characterize functional traits of plankton from image data, Limnol. Oceanogr., 67, 1647–1669, https://doi.org/10.1002/lno.12101, 2022. a
Picheral, M., Guidi, L., Stemmann, L., Karl, D. M., Iddaoud, G., and Gorsky, G.: The Underwater Vision Profiler 5: An advanced instrument for high spatial resolution studies of particle size spectra and zooplankton, Limnol. Oceanogr.-Methods, 8, 462–473, https://doi.org/10.4319/lom.2010.8.462, 2010. a, b, c, d, e
Picheral, M., Catalano, C., Brousseau, D., Claustre, H., Coppola, L., Leymarie, E., Coindat, J., Dias, F., Fevre, S., Guidi, L., Irisson, J. O., Legendre, L., Lombard, F., Mortier, L., Penkerch, C., Rogge, A., Schmechtig, C., Thibault, S., Tixier, T., Waite, A., and Stemmann, L.: The Underwater Vision Profiler 6: an imaging sensor of particle size spectra and plankton, for autonomous and cabled platforms, Limnol. Oceanogr.-Methods, 20, 115–129, https://doi.org/10.1002/lom3.10475, 2022. a, b, c, d, e, f
Pollina, T., Larson, A. G., Lombard, F., Li, H., Le Guen, D., Colin, S., De Vargas, C., and Prakash, M.: PlanktoScope: Affordable Modular Quantitative Imaging Platform for Citizen Oceanography, Front. Mar. Sci., 9, 949428, https://doi.org/10.3389/fmars.2022.949428, 2022. a
Richardson, T. L.: Mechanisms and Pathways of Small-Phytoplankton Export from the Surface Ocean, Annu. Rev. Mar. Sci., 11, 57–74, https://doi.org/10.1146/annurev-marine-121916-063627, 2019. a
Ricour, F.: Towards a new insight of the carbon transport in the global ocean, phdthesis, Sorbonne Université ; Université de Liège, https://theses.hal.science/tel-04200208 (last access: October 2023), 2023. a
Rodriguez, J. and Mullin, M. M.: Relation between biomass and body weight of plankton in a steady state oceanic ecosystem1: Biomass and size of plankton, Limnol. Oceanogr., 31, 361–370, https://doi.org/10.4319/lo.1986.31.2.0361, 1986. a
Romagnan, J.-B.: Les communautés planctoniques des bactéries au macroplancton : dynamique temporelle en Mer Ligure et distribution dans l'océan global lors de l'expédition Tara Oceans. – Approche holistique par imagerie-, Doctoral thesis, Universite de Nice Sophia-Antipolis, https://fr.scribd.com/document/653207481/Les-communautes-planctoniques-des-bacteries-au-macroplancton-dynamique-temporelle-en-Mer-Ligure-et-distribution-dans-l-ocean-global-lors-de-l-expe (last access: October 2023), 2013. a
Romagnan, J.-B., Legendre, L., Guidi, L., Jamet, J.-L., Jamet, D., Mousseau, L., Pedrotti, M.-L., Picheral, M., Gorsky, G., Sardet, C., and Stemmann, L.: Comprehensive model of annual plankton succession based on the whole-plankton time series approach, PLoS One, 10, e0119219, https://doi.org/10.1371/journal.pone.0119219, 2015. a
Rossberg, A. G., Gaedke, U., and Kratina, P.: Dome patterns in pelagic size spectra reveal strong trophic cascades, Nat. Commun., 10, 4396, https://doi.org/10.1038/s41467-019-12289-0, 2019. a
Roy, S., Sathyendranath, S., Bouman, H., and Platt, T.: The global distribution of phytoplankton size spectrum and size classes from their light-absorption spectra derived from satellite data, Remote Sens. Environ., 139, 185–197, https://doi.org/10.1016/j.rse.2013.08.004, 2013. a, b
Schartau, M., Landry, M. R., and Armstrong, R. A.: Density estimation of plankton size spectra: a reanalysis of IronEx II data, J. Plankton Res., 32, 1167–1184, https://doi.org/10.1093/plankt/fbq072, 2010. a, b, c, d
Schröder, S.-M., Kiko, R., and Koch, R.: MorphoCluster: Efficient Annotation of Plankton Images by Clustering, Sensors, 20, 3060, https://doi.org/10.3390/s20113060, 2020. a
Schulz, J., Barz, K., Ayon, P., Ludtke, A., Zielinski, O., Mengedoht, D., and Hirche, H.-J.: Imaging of plankton specimens with the lightframe on-sight keyspecies investigation (LOKI) system, J. Eur. Opt. Soc.: Rapid Publ., 5, 10017s, https://doi.org/10.2971/jeos.2010.10017s, 2010. a
Schvarcz, C. R., Wilson, S. T., Caffin, M., Stancheva, R., Li, Q., Turk-Kubo, K. A., White, A. E., Karl, D. M., Zehr, J. P., and Steward, G. F.: Overlooked and widespread pennate diatom-diazotroph symbioses in the sea, Nat. Commun., 13, 799, https://doi.org/10.1038/s41467-022-28065-6, 2022. a
Serra-Pompei, C., Ward, B. A., Pinti, J., Visser, A. W., Kiørboe, T., and Andersen, K. H.: Linking Plankton Size Spectra and Community Composition to Carbon Export and Its Efficiency, Global Biogeochem. Cycles, 36, e2021GB007275, https://doi.org/10.1029/2021GB007275, 2022. a, b
Sheldon, R. W., Prakash, A., and Sutcliffe Jr., W. H.: The size distribution of particles in the ocean, Limnol. Oceanogr., 17, 327–340, https://doi.org/10.4319/lo.1972.17.3.0327, 1972. a, b, c
Sheldon, R. W., Sutcliffe Jr., W. H., and Paranjape, M. A.: Structure of Pelagic Food Chain and Relationship Between Plankton and Fish Production, J. Fish. Res., 34, 2344–2353, https://doi.org/10.1139/f77-314, 1977. a, b
Sieburth, J. M., Smetacek, V., and Lenz, J.: Pelagic ecosystem structure: Heterotrophic compartments of the plankton and their relationship to plankton size fractions 1, Limnol. Oceanogr., 23, 1256–1263, https://doi.org/10.4319/lo.1978.23.6.1256, 1978. a
Sieracki, C., Sieracki, M., and Yentsch, C.: An imaging-in-flow system for automated analysis of marine microplankton, Mar. Ecol. Prog. Ser., 168, 285–296, https://doi.org/10.3354/meps168285, 1998. a, b
Sieracki, M. E., Benfield, M., Hanson, A., Davis, C., Pilskaln, C. H., Checkley, D., Sosik, H. M., Ashjian, C., Culverhouse, P., Cowen, R., Lopes, R., Balch, W., and Irigoien, X.: Optical plankton imaging and analysis systems for ocean observation., 878–885, ISBN 978-3-86987-200-1, https://doi.org/10.5270/OceanObs09.cwp.81, 2010. a
Smayda, T. J.: Normal and accelerated sinking of phytoplankton in the sea, Mar. Geol., 11, 105–122, https://doi.org/10.1016/0025-3227(71)90070-3, 1971. a
Sosik, H. M. and Olson, R. J.: Automated taxonomic classification of phytoplankton sampled with imaging-in-flow cytometry: Phytoplankton image classification, Limnol. Oceanogr.-Methods, 5, 204–216, https://doi.org/10.4319/lom.2007.5.204, 2007. a, b
Sosik, H. M., Peacock, E. E., and Brownlee, E. F.: WHOI-Plankton, MBLWHOI Library [data set], https://doi.org/10.1575/1912/7341, 2022. a
Soviadan, Y. D., Dugenne, M., Drago, L., Biard, T., Trudnowska, E., Lombard, F., Romagnan, J.-B., Jamet, J.-L., Kiko, R., Gorsky, G., and Stemmann, L.: Complete zooplankton size spectra re-constructed from “in situ” imaging and Multinet data in the global ocean, Ecology, preprint, https://doi.org/10.1101/2023.06.29.547051, 2023. a, b, c
Sprules, W. G. and Barth, L. E.: Surfing the biomass size spectrum: some remarks on history, theory, and application, Can. J. Fish. Aquat. Sci., 73, 477–495, https://doi.org/10.1139/cjfas-2015-0115, 2016. a, b
Sprules, W. G. and Munawar, M.: Plankton Size Spectra in Relation to Ecosystem Productivity, Size, and Perturbation, Can. J. Fish. Aquat. Sci., 43, 1789–1794, https://doi.org/10.1139/f86-222, 1986. a, b
Stemmann, L. and Boss, E.: Plankton and Particle Size and Packaging: From Determining Optical Properties to Driving the Biological Pump, Annu. Rev. Mar. Sci., 4, 263–290, https://doi.org/10.1146/annurev-marine-120710-100853, 2012. a, b
Stemmann, L., Picheral, M., Guidi, L., Lombard, F., Prejger, F., Claustre, H., and Gorsky, G.: Assessing the spatial and temporal distributions of zooplankton and marine particles using the Underwater Vision Profiler, Sensors for ecology: Towards integrated knowledge of ecosystems, edited by: Le Galliard, J. F., Guarini, J. F., and Gail, F., CNRS, Institut Ecologie et Environnement, 119–137, 2012. a, b
Taniguchi, D. A., Franks, P. J., and Poulin, F. J.: Planktonic biomass size spectra: an emergent property of size-dependent physiological rates, food web dynamics, and nutrient regimes, Mar. Ecol. Prog. Ser., 514, 13–33, 2014. a
Trudnowska, E., Lacour, L., Ardyna, M., Rogge, A., Irisson, J. O., Waite, A. M., Babin, M., and Stemmann, L.: Marine snow morphology illuminates the evolution of phytoplankton blooms and determines their subsequent vertical export, Nat. Commun., 12, 2816, https://doi.org/10.1038/s41467-021-22994-4, 2021. a, b
Vandromme, P., Stemmann, L., García-Comas, C., Berline, L., Sun, X., and Gorsky, G.: Assessing biases in computing size spectra of automatically classified zooplankton from imaging systems: A case study with the ZooScan integrated system, Methods Oceanogr., 1-2, 3–21, https://doi.org/10.1016/j.mio.2012.06.001, 2012. a, b
Ward, B. A. and Follows, M. J.: Marine mixotrophy increases trophic transfer efficiency, mean organism size, and vertical carbon flux, P. Natl. Acad. Sci. USA, 113, 2958–2963, https://doi.org/10.1073/pnas.1517118113, 2016. a
Wassmann, P.: Retention versus export food chains: processes controlling sinking loss from marine pelagic systems, Hydrobiologia, 363, 29–57, https://doi.org/10.1023/A:1003113403096, 1997. a
Wiebe, P. H. and Benfield, M. C.: From the Hensen net toward four-dimensional biological oceanography, Prog. Oceanogr., 56, 7–136, https://doi.org/10.1016/S0079-6611(02)00140-4, 2003. a
Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., da Silva Santos, L. B., Bourne, P. E., Bouwman, J., Brookes, A. J., Clark, T., Crosas, M., Dillo, I., Dumon, O., Edmunds, S., Evelo, C. T., Finkers, R., Gonzalez-Beltran, A., Gray, A. J. G., Groth, P., Goble, C., Grethe, J. S., Heringa, J., 't Hoen, P. A. C., Hooft, R., Kuhn, T., Kok, R., Kok, J., Lusher, S. J., Martone, M. E., Mons, A., Packer, A. L., Persson, B., Rocca-Serra, P., Roos, M., van Schaik, R., Sansone, S.-A., Schultes, E., Sengstag, T., Slater, T., Strawn, G., Swertz, M. A., Thompson, M., van der Lei, J., van Mulligen, E., Velterop, J., Waagmeester, A., Wittenburg, P., Wolstencroft, K., Zhao, J., and Mons, B.: The FAIR Guiding Principles for scientific data management and stewardship, Sci. Data, 3, 160018, https://doi.org/10.1038/sdata.2016.18, 2016. a
Zhang, W., Sun, X., Zheng, S., Zhu, M., Liang, J., Du, J., and Yang, C.: Plankton abundance, biovolume, and normalized biovolume size spectra in the northern slope of the South China Sea in autumn 2014 and summer 2015, Deep-Sea Res. Pt. II, 167, 79–92, https://doi.org/10.1016/j.dsr2.2019.07.006, 2019. a
Zhou, M.: What determines the slope of a plankton biomass spectrum?, J. Plankton Res., 28, 437–448, https://doi.org/10.1093/plankt/fbi119, 2006. a
Short summary
Plankton and particles influence carbon cycling and energy flow in marine ecosystems. We used three types of novel plankton imaging systems to obtain size measurements from a range of plankton and particle sizes and across all major oceans. Data were compiled and cross-calibrated from many thousands of images, showing seasonal and spatial changes in particle size structure in different ocean basins. These datasets form the first release of the Pelagic Size Structure database (PSSdb).
Plankton and particles influence carbon cycling and energy flow in marine ecosystems. We used...
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