Articles | Volume 17, issue 3
https://doi.org/10.5194/essd-17-1173-2025
© Author(s) 2025. 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-17-1173-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
20 Mar 2025
Data description paper |
| 20 Mar 2025
| 20 Mar 2025
A 45-year hydrological and planktonic time series in the South Bight of the North Sea
IFREMER, Unité COAST, 150 Quai Gambetta, 62321 Boulogne-sur-Mer, France
Guillaume Wacquet
IFREMER, Unité COAST, 150 Quai Gambetta, 62321 Boulogne-sur-Mer, France
Alain Lefebvre
IFREMER, Unité COAST, 150 Quai Gambetta, 62321 Boulogne-sur-Mer, France
Related authors
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
Short summary
Short summary
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.
Kévin Robache, Zéline Hubert, Clémentine Gallot, Alexandre Epinoux, Arnaud P. Louchart, Jean-Valéry Facq, Alain Lefebvre, Michel Répécaud, Vincent Cornille, Florine Verhaeghe, Yann Audinet, Laurent Brutier, François G. Schmitt, and Luis Felipe Artigas
EGUsphere, https://doi.org/10.5194/egusphere-2025-836, https://doi.org/10.5194/egusphere-2025-836, 2025
This preprint is open for discussion and under review for Ocean Science (OS).
Short summary
Short summary
By deploying an automated flow cytometer on a coastal monitoring station in France, we tracked phytoplankton changes every 2 hours during spring (2021, 2022) and summer (2022). Our study revealed distinct seasonal shifts, e.g., with diatoms and haptophytes in spring. Extreme weather events rapidly altered community composition. We found that most variability occurred on short timescales, underscoring the importance of high-frequency monitoring to understand marine phytoplankton dynamics.
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
Short summary
Short summary
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.
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
Short summary
Short summary
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.
Hedy M. Aardema, Machteld Rijkeboer, Alain Lefebvre, Arnold Veen, and Jacco C. Kromkamp
Ocean Sci., 15, 1267–1285, https://doi.org/10.5194/os-15-1267-2019, https://doi.org/10.5194/os-15-1267-2019, 2019
Short summary
Short summary
Monitoring of marine waters is currently mainly limited to low-resolution methods, while the ocean can be highly variable both in time and space. This study explores the use of two high-resolution methods to study phytoplankton dynamics and uses a model to organize the large amount of data. The results show that the combination of FRR fluorometry and flow cytometry offers an elaborate view of the phytoplankton community and can improve existing monitoring programs.
Related subject area
Domain: ESSD – Ocean | Subject: Biological oceanography
Bivalve monitoring over French coasts: multi-decadal records of carbon and nitrogen elemental and isotopic ratios as ecological indicators of global change
A comprehensive global mapping of offshore lighting
A compilation of surface inherent optical properties and phytoplankton pigment concentrations from the Atlantic Meridional Transect
A hyperspectral and multi-angular synthetic dataset for algorithm development in waters of varying trophic levels and optical complexity
Global biogeography of N2-fixing microbes: nifH amplicon database and analytics workflow
Quantitative imaging datasets of micro to mesoplankton communities and surface microplastic across the Pacific Ocean from the Tara Pacific Expedition
Microbial plankton occurrence database in the North American Arctic region: synthesis of recent diversity of potentially toxic and/or harmful algae
Hyperspectral library of submerged aquatic vegetation and benthic substrates in the Baltic Sea
AIGD-PFT: the first AI-driven global daily gap-free 4 km phytoplankton functional type data product from 1998 to 2023
Early-life dispersal traits of coastal fishes: an extensive database combining observations and growth models
An update of data compilation on the biological response to ocean acidification and overview of the OA-ICC data portal
First release of the Pelagic Size Structure database: global datasets of marine size spectra obtained from plankton imaging devices
Fish functional groups of the North Atlantic and Arctic Oceans
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
Observed global ocean phytoplankton phenology indices
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
Camilla Liénart, Alan Fournioux, Andrius Garbaras, Hugues Blanchet, Nicolas Briant, Stanislas F. Dubois, Aline Gangnery, Anne Grouhel Pellouin, Pauline Le Monier, Arnaud Lheureux, Xavier de Montaudouin, and Nicolas Savoye
Earth Syst. Sci. Data, 17, 799–815, https://doi.org/10.5194/essd-17-799-2025, https://doi.org/10.5194/essd-17-799-2025, 2025
Short summary
Short summary
Bivalves such as mussels and oysters reflect the quality of the environment by filtering ambient water. We measured carbon and nitrogen chemical composition in bivalve tissues from 33 sites along French coastlines sampled since the 1980s. Thanks to such time series, this dataset allows us to track how marine species record changing climate, physical–chemical environment, and organic matter cycles and provide precious information on the coastal ecosystem response to global change.
Christopher D. Elvidge, Tilottama Ghosh, Namrata Chatterjee, Mikhail Zhizhin, Paul C. Sutton, and Morgan Bazilian
Earth Syst. Sci. Data, 17, 579–594, https://doi.org/10.5194/essd-17-579-2025, https://doi.org/10.5194/essd-17-579-2025, 2025
Short summary
Short summary
We present the first comprehensive map of offshore lighting derived from low-light imaging satellite data. The empty sea provides a dark and uniform canvas upon which light detections can be aggregated for extended periods to reveal human lighting structures. The form of the structures only becomes apparent when data from 1 or more years are accumulated. Identifiable structures include fishing grounds, platforms, gas flares, anchorages, and transportation routes.
Thomas M. Jordan, Giorgio Dall'Olmo, Gavin Tilstone, Robert J. W. Brewin, Francesco Nencioli, Ruth Airs, Crystal S. Thomas, and Louise Schlüter
Earth Syst. Sci. Data, 17, 493–516, https://doi.org/10.5194/essd-17-493-2025, https://doi.org/10.5194/essd-17-493-2025, 2025
Short summary
Short summary
We present a compilation of water optical properties and phytoplankton pigments from the surface of the Atlantic Ocean collected during nine cruises between 2009 and 2019. We derive continuous Chlorophyll a concentrations (a biomass proxy) from water absorption. We then illustrate geographical variations and relationships for water optical properties, Chlorophyll a, and other pigments. The dataset will be useful to researchers in ocean optics, remote sensing, ecology, and biogeochemistry.
Jaime Pitarch and Vittorio Ernesto Brando
Earth Syst. Sci. Data, 17, 435–460, https://doi.org/10.5194/essd-17-435-2025, https://doi.org/10.5194/essd-17-435-2025, 2025
Short summary
Short summary
This research presents a comprehensive synthetic dataset of bio-optical properties and radiometric quantities in the optical domain, resolved for all sun-view angular combinations, from ultraviolet to visible light, that provide aid in the development of satellite algorithms, including directional problems. The dataset will significantly enhance research on light behavior in water and support future hyperspectral missions. It has been made publicly available on Zenodo.
Michael Morando, Jonathan D. Magasin, Shunyan Cheung, Matthew M. Mills, Jonathan P. Zehr, and Kendra A. Turk-Kubo
Earth Syst. Sci. Data, 17, 393–422, https://doi.org/10.5194/essd-17-393-2025, https://doi.org/10.5194/essd-17-393-2025, 2025
Short summary
Short summary
Nitrogen is crucial in ocean food webs, but only some microbes can fix N2 gas into a bioavailable form. Most are known only by their nifH gene sequence. We created a software workflow for nifH data and ran it on 944 ocean samples, producing a database (DB) that captures the global diversity of N2-fixing marine microbes and the environmental factors that influence them. The workflow and DB can standardize analyses of past and future nifH datasets to enable insights into marine communities.
Zoé Mériguet, Guillaume Bourdin, Nathaniel Kristan, Laetitia Jalabert, Olivier Bun, Marc Picheral, Louis Caray–Counil, Juliette Maury, Maria-Luiza Pedrotti, Amanda Elineau, David Arturo Paz-Garcia, Lee Karp-Boss, Gabriel Gorsky, Fabien Lombard, and the Tara Pacific Consortium Coordinators team
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-507, https://doi.org/10.5194/essd-2024-507, 2024
Revised manuscript accepted for ESSD
Short summary
Short summary
This study presents imaging datasets from the Tara Pacific Expedition, covering multiple plankton sizes and a wide sampling area in Pacific waters. By sampling both open ocean and island areas, these data can show how plankton size, diversity and abundance change with different environments. We also highlight the usefulness of high-speed plankton sampling when it is not possible to slow the boat during sailing, and its value in extending sampling coverage and frequency.
Nicolas Schiffrine, Fatma Dhifallah, Kaven Dionne, Michel Poulin, Sylvie Lessard, André Rochon, and Michel Gosselin
Earth Syst. Sci. Data, 16, 5681–5701, https://doi.org/10.5194/essd-16-5681-2024, https://doi.org/10.5194/essd-16-5681-2024, 2024
Short summary
Short summary
Growing concern arises in the Arctic Ocean as toxic and harmful phytoplankton emerge due to climate change. The potential surge in these occurrences threatens both human health and the Arctic ecosystem. Our ongoing research yields insights into spatial patterns and biodiversity, challenging the belief that the Arctic is unsuitable for toxic and harmful algal events. This work underscores the need to comprehend and address the ecological impact of these emerging species in the Arctic environment.
Ele Vahtmäe, Laura Argus, Kaire Toming, Martin Ligi, and Tiit Kutser
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-528, https://doi.org/10.5194/essd-2024-528, 2024
Revised manuscript accepted for ESSD
Short summary
Short summary
We collected a dataset of reflectance measurements for variety of benthic macrophyte species and substrate types naturally occurring in the Baltic Sea. This dataset provides insights into the spectral properties of macrophyte species characteristic to the temperate geographic region. Such information is often lacking in the data format, while it is essential for remote sensing algorithm development, image classification as well as defining requirements for future remote sensing missions.
Yuan Zhang, Fang Shen, Renhu Li, Mengyu Li, Zhaoxin Li, Songyu Chen, and Xuerong Sun
Earth Syst. Sci. Data, 16, 4793–4816, https://doi.org/10.5194/essd-16-4793-2024, https://doi.org/10.5194/essd-16-4793-2024, 2024
Short summary
Short summary
This work describes AIGD-PFT, the first AI-driven global daily gap-free 4 km phytoplankton functional type (PFT) product from 1998 to 2023. AIGD-PFT enhances the accuracy and spatiotemporal coverage quantification of eight major PFTs (i.e. diatoms, dinoflagellates, haptophytes, pelagophytes, cryptophytes, green algae, prokaryotes, and Prochlorococcus).
Marine Di Stefano, David Nerini, Itziar Alvarez, Giandomenico Ardizzone, Patrick Astruch, Gotzon Basterretxea, Aurélie Blanfuné, Denis Bonhomme, Antonio Calò, Ignacio Catalan, Carlo Cattano, Adrien Cheminée, Romain Crec'hriou, Amalia Cuadros, Antonio Di Franco, Carlos Diaz-Gil, Tristan Estaque, Robin Faillettaz, Fabiana C. Félix-Hackradt, José Antonio Garcia-Charton, Paolo Guidetti, Loïc Guilloux, Jean-Georges Harmelin, Mireille Harmelin-Vivien, Manuel Hidalgo, Hilmar Hinz, Jean-Olivier Irisson, Gabriele La Mesa, Laurence Le Diréach, Philippe Lenfant, Enrique Macpherson, Sanja Matić-Skoko, Manon Mercader, Marco Milazzo, Tiffany Monfort, Joan Moranta, Manuel Muntoni, Matteo Murenu, Lucie Nunez, M. Pilar Olivar, Jérémy Pastor, Ángel Pérez-Ruzafa, Serge Planes, Nuria Raventos, Justine Richaume, Elodie Rouanet, Erwan Roussel, Sandrine Ruitton, Ana Sabatés, Thierry Thibaut, Daniele Ventura, Laurent Vigliola, Dario Vrdoljak, and Vincent Rossi
Earth Syst. Sci. Data, 16, 3851–3871, https://doi.org/10.5194/essd-16-3851-2024, https://doi.org/10.5194/essd-16-3851-2024, 2024
Short summary
Short summary
We build a compilation of early-life dispersal traits for coastal fish species. The database contains over 110 000 entries collected from 1993 to 2021 in the western Mediterranean. All observations are harmonized to provide information on dates and locations of spawning and settlement, along with pelagic larval durations. When applicable, missing data are reconstructed from dynamic energy budget theory. Statistical analyses reveal sampling biases across taxa, space and time.
Yan Yang, Patrick Brockmann, Carolina Galdino, Uwe Schindler, and Frédéric Gazeau
Earth Syst. Sci. Data, 16, 3771–3780, https://doi.org/10.5194/essd-16-3771-2024, https://doi.org/10.5194/essd-16-3771-2024, 2024
Short summary
Short summary
Studies investigating the effects of ocean acidification on marine organisms and communities have been steadily increasing. To facilitate data comparison, a data compilation hosted by the PANGAEA Data Publisher 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 filter and access relevant biological response data from this compilation, a user-friendly portal was launched in 2018.
Mathilde Dugenne, Marco Corrales-Ugalde, Jessica Y. Luo, Rainer Kiko, Todd D. O'Brien, Jean-Olivier Irisson, Fabien Lombard, Lars Stemmann, Charles Stock, Clarissa R. Anderson, Marcel Babin, Nagib Bhairy, Sophie Bonnet, Francois Carlotti, Astrid Cornils, E. Taylor Crockford, Patrick Daniel, Corinne Desnos, Laetitia Drago, Amanda Elineau, Alexis Fischer, Nina Grandrémy, Pierre-Luc Grondin, Lionel Guidi, Cecile Guieu, Helena Hauss, Kendra Hayashi, Jenny A. Huggett, Laetitia Jalabert, Lee Karp-Boss, Kasia M. Kenitz, Raphael M. Kudela, Magali Lescot, Claudie Marec, Andrew McDonnell, Zoe Mériguet, Barbara Niehoff, Margaux Noyon, Thelma Panaïotis, Emily Peacock, Marc Picheral, Emilie Riquier, Collin Roesler, Jean-Baptiste Romagnan, Heidi M. Sosik, Gretchen Spencer, Jan Taucher, Chloé Tilliette, and Marion Vilain
Earth Syst. Sci. Data, 16, 2971–2999, https://doi.org/10.5194/essd-16-2971-2024, https://doi.org/10.5194/essd-16-2971-2024, 2024
Short summary
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).
Murray S. A. Thompson, Izaskun Preciado, Federico Maioli, Valerio Bartolino, Andrea Belgrano, Michele Casini, Pierre Cresson, Elena Eriksen, Gema Hernandez-Milian, Ingibjörg G. Jónsdóttir, Stefan Neuenfeldt, John F. Pinnegar, Stefán Ragnarsson, Sabine Schueckel, Ulrike Schueckel, Brian E. Smith, María Á. Torres, Thomas J. Webb, and Christopher P. Lynam
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-102, https://doi.org/10.5194/essd-2024-102, 2024
Revised manuscript accepted for ESSD
Short summary
Short summary
We collated data from multiple fish stomach content databases to improve understanding of marine food web interactions for the North Atlantic and Arctic Oceans. These data were used to categorise fish into feeding guilds and applied to understand change in fish populations observed in scientific trawl surveys. This revealed spatially extensive temporal change in marine ecosystem structure and functioning. Our study provides evidence supporting a candidate food web indicator for the OSPAR Area.
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
Short summary
Short summary
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
Short summary
Short summary
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.
Sarah-Anne Nicholson, Thomas J. Ryan-Keogh, Sandy J. Thomalla, Nicolette Chang, and Marié E. Smith
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-21, https://doi.org/10.5194/essd-2024-21, 2024
Revised manuscript accepted for ESSD
Short summary
Short summary
The annual greening of the global ocean by the widespread growth of phytoplankton blooms, visible from space, has global-scale impacts on food security, ecosystem health, and climate. Using satellite observations this study generates long-term and sustained phytoplankton phenology (timing and magnitude of blooms) indices for the global ocean towards the effective monitoring and management of marine resources and the assessment of climate change impacts on ocean ecosystems
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Aminot, A. and Kérouel, R.: Hydrologie des écosystèmes marins: paramètres et analyses, Ifremer, 336 pp., ISBN 2-84433-133-5, 2004.
Aminot, A. and Kérouel, R.: Dosage automatique des nutriments dans les eaux marines, Ifremer, 187 pp., ISBN-13 978-2-7592-0023-8, 2007.
Antajan, E., Bastian, T., Raud, T., Brylinski, J.-M., Hoffman, S., Breton, G., Cornille, V., Delegrange, A., and Vincent, D.: The invasive ctenophore Mnemiopsis leidyi (A. Agassiz 1865) along the English Channel and the North Sea French coasts: another introduction pathway in northern European waters?, Aquat. Invasions, 9, 167–173, 2014.
Atkinson, A.: Subantarctic copepods in an oceanic, low chlorophyll environment: Ciliate predation, food selectivity and impact on prey populations, Mar. Ecol. Prog. Ser., 130, 85–96, 1996.
Atkinson, A., Harmer, R. A., Widdicombe, C. E., McEvo, A. J., Smyth, T. J., Cummings, D. G., Somerfield, P. J., Maud, J. L., and McConville, K.: Questioning the role of phenology shifts and trophic mismatching in a planktonic food web, Prog. Oceanogr., 137, Part B, 498–512, https://doi.org/10.1016/j.pocean.2015.04.023, 2015.
Banse, K.: Grazing, Temporal Changes of Phytoplankton Concentrations, and the Microbial Loop in the Open Sea, in: Primary Productivity and Biogeochemical Cycles in the Sea, Env. Sci. Res., vol. 43, edited by: Falkowski, P. G., Woodhead, A. D., and Vivirito, K., Springer, Boston, MA, https://doi.org/10.1007/978-1-4899-0762-2_22, 1992.
Brylinski, J.-M.: The pelagic copepods in the Strait of Dover (Eastern English Channel). A commented inventory 120 years after Eugène CANU, Cah. Biol. Mar., 50, 251–260, 2009.
Corona, S., Hirst, A. G., Atkinson, D., Renz, J., Boersma, M., and Atkinson, A.: Long-term shifts in phenology, thermal niche, population size, and their interactions in marine pelagic copepods, Limnol. Oceanogr., 69, 482–497, https://doi.org/10.1002/lno.12499, 2024.
Dauvin, J. C., Desroy, N., Denis, L., and Ruellet, T.: Does the Phaeocystis bloom affect the diel migration of the suprabenthos community?, Mar. Pollut. Bull., 56, 77–87, https://doi.org/10.1016/j.marpolbul.2007.09.041, 2008.
Denis, L. and Desroy, N.: Consequences of spring phytodetritus sedimentation on the benthic compartment along a depth gradient in the Eastern English Channel, Mar. Pollut. Bull., 56, 1844–1854, https://doi.org/10.1016/j.marpolbul.2008.07.019, 2008.
Devreker, D. and Lefebvre, A.: TTAinterfaceTrendAnalysis: An R GUI for routine Temporal Trend Analysis and diagnostics, J. Oceanogr. Res. Data, 6, 1–18, 2014.
Devreker, D. and Lefebvre, A.: TTAinterfaceTrendAnalysis: Temporal Trend Analysis Graphical Interface. R package version 1.5.10, https://cran.r-project.org/package=TTAinterfaceTrendAnalysis/index.html (last access: 23 January 2024), 2021.
Dias, J.-G., Vermunt, J. K., and Ramos, S.: Clustering financial time series: New insights from an extended hidden markov model, Eur. J. Oper. Res., 243, 852–864, 2015.
Falkowski, P. G., Laws, E. A., Barber, R. T., and Murray, J. W.: Phytoplankton and Their Role in Primary, New, and Export Production, in: Ocean Biogeochemistry. Global Change – The IGBP Series (closed), edited by: Fasham, M. J. R., Springer, Berlin, Heidelberg, https://doi.org/10.1007/978-3-642-55844-3_5, 2003.
Feng, J., Stige, L. C., Durant, J. M., Hessen, D. O., Zhu, L., Hjermann, D.Ø., Llope, M., and Stenseth, N. C.: Large-scale season-dependent effects of temperature and zooplankton on phytoplankton in the North Atlantic, Mar. Ecol. Prog. Ser., 502, 25–37, https://doi.org/10.3354/meps10724, 2014.
Feuilloley, G., Fromentin, J.-M., Saraux, C., Irisson, J.-O., Jalabert, L., and Stemmann, L.: Temporal fluctuations in zooplankton size, abundance, and taxonomic composition since 1995 in the North Western Mediterranean Sea, ICES J. Mar. Sci., 79, 882–900, https://doi.org/10.1093/icesjms/fsab190, 2022.
González-Benítez, N., García-Corral, L. S., Morán, X. A. G., Middelburg, J. J., Pizay, M. D., and Gattuso, J. P.: Drivers of Microbial Carbon Fluxes Variability in Two Oligotrophic Mediterranean Coastal Systems, Sci. Rep.-UK, 9, 17669, https://doi.org/10.1038/s41598-019-53650-z, 2019.
Grassi, K., Poisson-Caillault, E., Bigand, A., and Lefebvre, A.: Comparative Study of Clustering Approaches Applied to Spatial or Temporal Pattern Discovery, J. Mar. Sci. Eng., 8, 713, https://doi.org/10.3390/jmse8090713, 2020.
Grattepanche, J.-D., Breton, E., Brylinski, J.-M., Lecuyer, E., and Christaki, U.: Succession of primary producers and micrograzers in a coastal ecosystem dominated by Phaeocystis globosa blooms, J. Plankton Res., 33, 37–50, https://doi.org/10.1093/plankt/fbq097, 2011.
Halsband-Lenk, C. and Antajan, E.: Zooplankton time-series analyses in the English Channel: potential for regional multimetric foodweb indices, in: Proceedings of the Joint ICES/CIESM Workshop to Compare Zooplankton Ecology and Methodologies between the Mediterranean and the North Atlantic (WKZEM), ICES Cooperative Research report 300, edited by: Gislason, A. and Gorsky, G., 29–34, https://www.vliz.be/imisdocs/publications/ocrd/256988.pdf (last access: 11 September 2024), 2010.
Harris, R.: The L4 time-series: the first 20 years, J. Plankton Res., 32, 577–583, https://doi.org/10.1093/plankt/fbq021, 2010.
Hernández Fariñas, T., Bacher, C., Soudant, D., Belin, B., and Barillé, L.: Assessing phytoplankton realized niches using a French national phytoplankton monitoring network, Estuar. Coast. Shelf S., 159, 15–27, https://doi.org/10.1016/j.ecss.2015.03.010, 2015.
Holland, M. M., Louchart, A., Artigas, L. P., Ostle, C., Atkinson, A., Rombouts, I., Graves, C. A., Devlin, M., Heyden, B., Machairopoulou, M., Bresnan, E., Schilder, J., Jakobsen, H. H., Lloyd-Hartley, H., Tett, P., Best, M., Goberville, E., and McQuatters-Gollop, A.: Major declines in NE Atlantic plankton contrast with more stable populations in the rapidly warming North Sea, Sci. Total Environ., 898, 165505, https://doi.org/10.1016/j.scitotenv.2023.165505, 2023.
Holland, M. M., Atkinson, A., Best, M., Bresnan, E., Devlin, M., Goberville, E., Hélaouët, P., Machairopoulou, M., Faith, M., Thompson, M. S. A., and McQuatters-Gollop, A.: Predictors of long-term variability in NE Atlantic plankton communities, Sci. Total Environ., 952, 175793, https://doi.org/10.1016/j.scitotenv.2024.175793, 2024.
Ifremer/ODE/VIGIES: REPHY national coordination & Quadrige administration unit: Manual for using REPHY Data. Information to improve the understanding of REPHY data files available to scientists and the public, Ifremer Report ODE/VIGIES/17-16, https://archimer.ifremer.fr/doc/00409/52017/ (last access: 24 January 2023), 2017.
John, E. H., Batten, S. D., Harris, R. P., and Hays, G. C.: Comparison between zooplankton data collected by the Continuous Plankton Recorder survey in the English Channel and by WP-2 nets at station L4, Plymouth (UK), J. Sea Res., 46, 223–232, https://doi.org/10.1016/S1385-1101(01)00085-5, 2001.
Kapsenberg, L., Alliouane, S., Gazeau, F., Mousseau, L., and Gattuso, J.-P.: Coastal ocean acidification and increasing total alkalinity in the northwestern Mediterranean Sea, Ocean Sci., 13, 411–426, https://doi.org/10.5194/os-13-411-2017, 2017.
Karasiewicz, S. and Lefebvre, A.: Environmental Impact on Harmful Species Pseudo-nitzschia spp. and Phaeocystis globosa Phenology and Niche, J. Mar. Sci. Eng., 10, 174, https://doi.org/10.3390/jmse10020174, 2022.
Karasiewicz, S., Breton, E., Lefebvre, A., Hernández Fariñas, T., and Lefebvre, S.: Realized niche analysis of phytoplankton communities involving HAB: Phaeocystis spp. as a case study, Harmful Algae, 72, 1–13, https://doi.org/10.1016/j.hal.2017.12.005, 2018.
Karasiewicz, S., Chapelle, A., Bacher, C., and Soudant, D.: Harmful algae niche responses to environmental and community variation along the French coast, Harmful Algae, 93, 101785, https://doi.org/10.1016/j.hal.2020.101785, 2020.
Lamy, D., Artigas, L. F., Jauzein, C., Lizon, F., and Cornille, V.: Coastal bacterial viability and production in the eastern English Channel: A case study during a Phaeocystis globosa bloom, J. Sea Res., 56, 227–238, https://doi.org/10.1016/j.seares.2006.04.003, 2006.
Lancelot, C. and Rousseau, V.: Ecology of Phaeocystis: the key role of colony forms, in: The haptophyte algae, edited by: Green, J. C. and Leadbeater, B. S. C., Clarendon Press, Oxford, 229–245, https://doi.org/10.1093/oso/9780198577720.003.0012,1994.
Lancelot, C., Spitz, Y., Gypens, N., Becquevort, S., Rousseau, V., Lacroix, G., and Billen, G.: Modelling diatom and Phaeocystis blooms and nutrient cycles in the Southern Bight of the North Sea: the MIRO model, Mar. Ecol. Prog. Ser., 289, 63–78, https://doi.org/10.3354/meps289063, 2005.
Längkvist, M., Karlsson, L., and Loutfi, A.: A review of unsupervised feature learning and deep learning for time-series modeling, Pattern Recogn. Lett., 42, 11–24, 2014.
Le Fevre-Lehoerff, G., Erard-Le Denn, E., and Arzul, G.: Planktonic ecosystems in the Channel-Trophic relations, Oceanol. Acta, 16, 661–670, 1993.
Le Fevre-Lehoerff, G., Ibanez, F., Poniz, P., and Fromentin, J.-M.: Hydroclimatic relationships with planktonic time series from 1975 to 1992 in the North Sea off Gravelines, France, Mar. Ecol. Prog. Ser., 129, 269–281, 1995.
Lefebvre, A. and Devreker, D.: First Comprehensive Quantitative Multi-Parameter Assessment of the Eutrophication Status from Coastal to Marine French Waters in the English Channel, the Celtic Sea, the Bay of Biscay, and the Mediterranean Sea, J. Mar. Sci. Eng., 8, 561, https://doi.org/10.3390/jmse8080561, 2020.
Lefebvre, A. and Devreker, D.: 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), Earth Syst. Sci. Data, 15, 1077–1092, https://doi.org/10.5194/essd-15-1077-2023, 2023.
Lefebvre, A. and Dezécache, C.: Trajectories of Changes in Phytoplankton Biomass, Phaeocystis globosa and Diatom (incl. Pseudo-nitzschia sp.) Abundances Related to Nutrient Pressures in the Eastern English Channel, Southern North Sea, J. Mar. Sci. Eng., 8, 401, https://doi.org/10.3390/jmse8060401, 2020.
Lefebvre, A., Guiselin, N., Barbet, F., and Artigas, L. F.: Long-term hydrological and phytoplankton monitoring (1992–2007) of three potentially eutrophic systems in the eastern English Channel and the Southern Bight of the North Sea, ICES J. Mar. Sci., 68, 2029–2043, https://doi.org/10.1093/icesjms/fsr149, 2011.
Lefebvre, A., Devreker, D., Antajan, E., Le Fèvre-Lehoërff, G., Thillaye du Boullay, H., Drévès, L., Ropert, M., and Wacquet, G.: IGA-HP Gravelines dataset – Hydrology and Plankton monitoring programme at the Gravelines coastal station, France (southern bight of the North Sea), SEANOE [data set], https://doi.org/10.17882/102656, 2024.
Lorenzen, C. J.: Determination of Chlorophyll and Pheopigments: Spectrophotometric Equations, Limnol. Oceanogr., 12, 343–346, https://doi.org/10.4319/lo.1967.12.2.0343, 1967.
Masilamoni, J. G., Jesudoss, K. S., Nandakumar, K., Satpathy, K. K., Nair, K. V. K., and Azariah, J.: Jellyfish ingress: A threat to the smooth operation of coastal power plants, Curr. Sci. India, 79, 567–569, 2000.
Mauchline, J.: The biology of calanoid copepods, Adv. Mar. Biol., 33, 710 pp., ill., Academic Press, London, ISBN 0-12-026133-2, 1998.
McEvoy, A. J., Atkinson, A., Airs, R. L., Brittain, R., Brown, I., Fileman, E. S., Findlay, H. S., McNeill, C. L., Ostle, C., Smyth, T. J., Somerfield, P. J., Tait, K., Tarran, G. A., Thomas, S., Widdicombe, C. E., Woodward, E. M. S., Beesley, A., Conway, D. V. P., Fishwick, J., Haines, H., Harris, C., Harris, R., Hélaouët, P., Johns, D., Lindeque, P. K., Mesher, T., McQuatters-Gollop, A., Nunes, J., Perry, F., Queiros, A. M., Rees, A., Rühl, S., Sims, D., Torres, R., and Widdicombe, S.: The Western Channel Observatory: a century of physical, chemical and biological data compiled from pelagic and benthic habitats in the western English Channel, Earth Syst. Sci. Data, 15, 5701–5737, https://doi.org/10.5194/essd-15-5701-2023, 2023.
McQuatters-Gollop, A., Atkinson, A., Aubert, A., Bedford, J., Best, M., Bresnan, E., Cook, K., Devlin, M., Gowen, R., Johns, D. G., Machairopoulou, M., McKinney, A., Mellor, A., Ostle, C., Scherer, C., and Tett, P.: Plankton lifeforms as a biodiversity indicator for regional-scale assessment of pelagic habitats for policy, Ecol. Indic., 101, 913–925, https://doi.org/10.1016/j.ecolind.2019.02.010, 2019.
Muller-Karger, F. E., Miloslavich, P., Bax, N. J., Simmons, S., Costello, M. J., Pinto, I. S., Canonico, G., Turner, W., Gill, M., Montes, E., Best, B. D., Pearlman, J., Halpin, P., Dunn, D., Benson, A., Martin, C. S., Weatherdon, L. V., Appeltans, W., Provoost, P., Klein, E., Kelble, C. R., Miller, R. J., Chavez, F. P., Iken, K., Chiba, S., Obura, D., Navarro, L. M., Pereira, H. M., Allain, V., Batten, S., Benedetti-Checchi, L., Duffy, J. E., Kudela, R. M., Rebelo, L.-M., Shin, Y., and Geller, G.: Advancing Marine Biological Observations and Data Requirements of the Complementary Essential Ocean Variables (EOVs) and Essential Biodiversity Variables (EBVs) Frameworks, Front. Mar. Sci., 5, 211, https://doi.org/10.3389/fmars.2018.00211, 2018.
Parravicini, V., Mangialajo, L., Mousseau, L., Peirano, A., Morri, C., Montefalcone, M., Francour, P., Kulbicki, M., and Bianchi, C. N.: Climate change and warm-water species at the north-western boundary of the Mediterranean Sea, Mar. Ecol., 36, 897–909, https://doi.org/10.1111/maec.12277, 2015.
Poisson Caillault, E. and Lefebvre, A.: Towards Chl-a Bloom Understanding by EM-based Unsupervised Event Detection. Proceedings of Oceans 2017, Aberdeen, UK, 19–22 June 2017, 1–5, ISBN 978-1-5090-5279-0, https://doi.org/10.1109/OCEANSE.2017.8084597, 2017.
Romagnan, J.-B., Legendre, L., Guidi, L., Jamet, J.-L., Jamet, D., and Mousseau, 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.
Romagnan, J.-B., Aldamman, L., Gasparini, S., Nival, P., Aubert, A., Jamet, J.-L., and Stemmann, L.: High frequency mesozooplankton monitoring: Can imaging systems and automated sample analysis help us describe and interpret changes in zooplankton community composition and size structure – An example from a coastal site, J. Marine Syst., 162, 18–28, https://doi.org/10.1016/j.jmarsys.2016.03.013, 2016.
Rousseau, V., Mathot, S. and Lancelot, C.: Calculating carbon biomass of Phaeocystis sp. from microscopic observations, Mar. Biol., 107, 305–314, https://doi.org/10.1007/BF01319830, 1990.
Rousseeuw, K., Poisson-Caillault, E., Lefebvre, A., and Hamad, D.: Hybrid hidden Markov model for marine environment monitoring, IEEE J. Sel. Top. Appl., 8, 204–213, https://doi.org/10.1109/JSTARS.2014.2341219, 2015.
Schapira, M., Vincent, D., Gentilhomme, V., and Seuront, L.: Temporal patterns of phytoplankton assemblages, size spectra and diversity during the wane of a Phaeocystis globosa spring bloom in hydrologically contrasted coastal waters, J. Mar. Biol. Assoc. UK, 88, 649–662, https://doi.org/10.1017/S0025315408001306, 2008.
SCOR-UNESCO: Determination of Photosynthetic Pigments, Monographs on Oceanographic Methodology, Vol. 1, 11–18, https://unesdoc.unesco.org/ark:/48223/pf0000071612 (last access: 28 August 2024), 1966.
SHOM: Ondine 85 – Hydrologie discrète et bathythermie réalisées à bord du bâtiment hydrographique l'Espérance par Le Magner, F., Vennel, R., Launo, S., Rapport d'Étude 001/88, Service Hydrographique et Océanographique de la Marine, 537 pp., 1988.
Spilmont, N., Denis, L., Artigas, L. F., Caloin, F., Courcot, L., Créach, A., Desroy, N., Gevaert, F., Hacquebart, P., Hubas, C., Janquin, M.-A., Lemoine, Y., Luczak, C., Migné, A., Rauch, M., and Davoult, D.: Impact of the Phaeocystis globosa spring bloom on the intertidal benthic compartment in the eastern English Channel: A synthesis, Mar. Pollut. Bull., 58, 55–63, https://doi.org/10.1016/j.marpolbul.2008.09.007, 2009.
USEPA: Turbidity: Water Quality Standards, Criteria Summaries: a Compilation of State/Federal Criteria, https://nepis.epa.gov/Exe/ZyPURL.cgi?Dockey=00001NCW.txt (last access: 28 August 2024), 1980.
Utermohl, H.: Zur Vervollkommung der quantitativen Phytoplankton-Methodik, Mitteilung Internationale Vereinigung fuer Theoretische und Angewandte Limnologie, 9, 39 pp., https://doi.org/10.1080/05384680.1958.11904091, 1958.
Van Hoan, M., Huy, D. T., and Mai, L. C.: Pattern Discovery in the Financial Time Series Based on Local Trend, in: Advances in Information and Communication Technology, edited by: Akagi, M., Nguyen, T. T., Vu, D. T., Phung, T. N., and Huynh, V. N., ICTA 2016, Adv. Intell. Syst. Comput., Springer, 538 pp., https://doi.org/10.1007/978-3-319-49073-1_48, 2017.
Vandromme, P., Stemmann, L., Berline, L., Gasparini, S., Mousseau, L., Prejger, F., Passafiume, O., Guarini, J.-M., and Gorsky, G.: Inter-annual fluctuations of zooplankton communities in the Bay of Villefranche-sur-mer from 1995 to 2005 (Northern Ligurian Sea, France), Biogeosciences, 8, 3143–3158, https://doi.org/10.5194/bg-8-3143-2011, 2011.
Wang, X., Jin, Q., Yang, L., Jia, C., Guan, C., Wang, H., and Guo, H.: Aggregation process of two disaster-causing jellyfish species, Nemopilema nomurai and Aurelia coerulea, at the intake area of a nuclear power cooling-water system in Eastern Liaodong Bay, China, Front. Mar. Sci., 9, 1098232, https://doi.org/10.3389/fmars.2022.1098232, 2023.
Wang, Y., Chen, X., Lin, Y., Zhang, S., Chang, L., Tang, X., Xiang, P., and Lin, H.: Potential risk from and prevention of phytoplankton outbreaks in blocking the cooling water system in a nuclear power plant on the Southeast China coast, Front. Mar. Sci., 9, 1034876, https://doi.org/10.3389/fmars.2022.1034876, 2022.
Wasmund, N., Kownacka, J., Göbel, J., Jaanus, A., Johansen, M., Jurgensone, I., Lehtinen, S., and Powilleit, M.: The Diatom/Dinoflagellate Index as an Indicator of Ecosystem Changes in the Baltic Sea 1. Principle and Handling Instruction, Front. Mar. Sci., 4, 22, https://doi.org/10.3389/fmars.2017.00022, 2017.
Widdicombe, C. E., Eloire, D., Harbour, D., Harris, R. P., and Somerfield, P. J.: Long-term phytoplankton community dynamics in the Western English Channel, J. Plankton Res., 32, 643–655, https://doi.org/10.1093/plankt/fbp127, 2010.
Woehrlings, D., Lefebvre, A., Lehoerff, G., and Delesmont, R.: Seasonal and longer term trends in sea temperature along the French North Sea coast, 1975 to 2002, J. Mar. Biol. Assoc. UK, 85, 39–48, https://doi.org/10.1017/S0025315405010805h, 2005.
WoRMS Editorial Board: World Register of Marine Species, https://doi.org/10.14284/170, 2024.
Xiao, W., Liu, X., Irwin, A. J., Edward, A., Laws, Wang, L., Chen, B., Zeng, Y., and Huang, B.: Warming and eutrophication combine to restructure diatoms and dinoflagellates, Water Res., 128, 206–216, https://doi.org/10.1016/j.watres.2017.10.051, 2018.
Short summary
This article presents a 45-year data series (1978–2023) acquired in the South Bight of the North Sea. It provides an overview of the main statistical characteristics of time series (hydrological parameters and plankton species), including long-term trends and shift analysis. The aim of this paper is to make this valuable dataset available to help decipher the local and global influences of anthropogenic activities in a world increasingly affected by climate change.
This article presents a 45-year data series (1978–2023) acquired in the South Bight of the North...
Altmetrics
Final-revised paper
Preprint