Articles | Volume 15, issue 9
https://doi.org/10.5194/essd-15-3931-2023
© Author(s) 2023. 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-15-3931-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
05 Sep 2023
Data description paper |
| 05 Sep 2023
| 05 Sep 2023
An atlas of seabed biodiversity for Aotearoa New Zealand
Fabrice Stephenson
CORRESPONDING AUTHOR
School of Science, University of Waikato, Hamilton, New Zealand
Tom Brough
National Institute of Water and Atmospheric Research (NIWA), Dunedin, New
Zealand
Drew Lohrer
National Institute of Water and Atmospheric Research (NIWA), Hamilton, New
Zealand
Daniel Leduc
National Institute of Water and Atmospheric Research (NIWA), Wellington,
New Zealand
Shane Geange
New Zealand Department of Conservation, Wellington, New Zealand
Owen Anderson
National Institute of Water and Atmospheric Research (NIWA), Wellington,
New Zealand
David Bowden
National Institute of Water and Atmospheric Research (NIWA), Wellington,
New Zealand
Malcolm R. Clark
National Institute of Water and Atmospheric Research (NIWA), Wellington,
New Zealand
Niki Davey
National Institute of Water and Atmospheric Research (NIWA), Nelson, New
Zealand
Enrique Pardo
New Zealand Department of Conservation, Wellington, New Zealand
Dennis P. Gordon
National Institute of Water and Atmospheric Research (NIWA), Wellington,
New Zealand
Brittany Finucci
National Institute of Water and Atmospheric Research (NIWA), Wellington,
New Zealand
Michelle Kelly
National Institute of Water and Atmospheric Research (NIWA), Wellington,
New Zealand
Diana Macpherson
National Institute of Water and Atmospheric Research (NIWA), Wellington,
New Zealand
Lisa McCartain
National Institute of Water and Atmospheric Research (NIWA), Hamilton, New
Zealand
Sadie Mills
National Institute of Water and Atmospheric Research (NIWA), Wellington,
New Zealand
Kate Neill
National Institute of Water and Atmospheric Research (NIWA), Wellington,
New Zealand
Wendy Nelson
National Institute of Water and Atmospheric Research (NIWA), Wellington,
New Zealand
Rachael Peart
National Institute of Water and Atmospheric Research (NIWA), Wellington,
New Zealand
Matthew H. Pinkerton
National Institute of Water and Atmospheric Research (NIWA), Wellington,
New Zealand
Geoffrey B. Read
National Institute of Water and Atmospheric Research (NIWA), Wellington,
New Zealand
Jodie Robertson
New Zealand Department of Conservation, Wellington, New Zealand
Ashley Rowden
National Institute of Water and Atmospheric Research (NIWA), Wellington,
New Zealand
School of Biological Sciences, Victoria University of Wellington, Wellington, New Zealand
Kareen Schnabel
National Institute of Water and Atmospheric Research (NIWA), Wellington,
New Zealand
Andrew Stewart
Museum of New Zealand Te Papa Tongarewa, Wellington, New Zealand
Carl Struthers
Museum of New Zealand Te Papa Tongarewa, Wellington, New Zealand
Leigh Tait
National Institute of Water and Atmospheric Research (NIWA), Christchurch,
New Zealand
School of Biological Sciences, University of Canterbury, Christchurch, New Zealand
Di Tracey
National Institute of Water and Atmospheric Research (NIWA), Wellington,
New Zealand
School of Biological Sciences, Victoria University of Wellington, Wellington, New Zealand
Shaun Weston
New Zealand Department of Conservation, Wellington, New Zealand
Carolyn Lundquist
National Institute of Water and Atmospheric Research (NIWA), Hamilton, New
Zealand
School of Environment, University of Auckland, Auckland, New Zealand
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Katharine T. Bigham, Ashley A. Rowden, Daniel Leduc, and David A. Bowden
Biogeosciences, 18, 1893–1908, https://doi.org/10.5194/bg-18-1893-2021, https://doi.org/10.5194/bg-18-1893-2021, 2021
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Turbidity flows – underwater avalanches – are large-scale physical disturbances believed to have profound impacts on productivity and diversity of benthic communities in the deep sea. We reviewed published studies and found that current evidence for changes in productivity is ambiguous at best, but the influence on regional and local diversity is clearer. We suggest study design criteria that may lead to a better understanding of large-scale disturbance effects on deep-sea benthos.
Irawan Asaad, Carolyn J. Lundquist, Mark V. Erdmann, and Mark J. Costello
Earth Syst. Sci. Data, 11, 163–174, https://doi.org/10.5194/essd-11-163-2019, https://doi.org/10.5194/essd-11-163-2019, 2019
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This atlas is a compendium of geospatial online and open-access data describing biodiversity conservation in the Coral Triangle of the Indo-Pacific biogeographic realm. It consists of three sets of interlinked digital maps: (1) biodiversity features; (2) areas of importance for biodiversity conservation; and (3) recommended priorities for Marine Protected Area (MPA) Network Expansion. These maps provide the most comprehensive biodiversity datasets available to date for the region.
P. Piazza, V. Cummings, D. Lohrer, S. Marini, P. Marriott, F. Menna, E. Nocerino, A. Peirano, and S. Schiaparelli
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 885–892, https://doi.org/10.5194/isprs-archives-XLII-2-885-2018, https://doi.org/10.5194/isprs-archives-XLII-2-885-2018, 2018
Related subject area
Domain: ESSD – Ocean | Subject: Biological oceanography
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
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
Early-life dispersal traits of coastal fishes: a long-term database combining observations and growth models
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
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
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
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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
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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).
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.
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 Sabatès, Thierry Thibaut, Daniele Ventura, Laurent Vigliola, Dario Vrdoljak, and Vincent Rossi
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-22, https://doi.org/10.5194/essd-2024-22, 2024
Revised manuscript accepted for ESSD
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We build a compilation of early life dispersal traits for coastal fish species. The database contains 110 000 entries collected from 1993 to 2021 in Western Mediterranean Basin. All observations are harmonized to inform on dates and locations of spawning and settlement, along with pelagic larval durations. When applicable, missing dates are reconstructed from Dynamic Energy Budget theory. Statistical analyses reveal sampling biases across taxa, space and time.
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.
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
Arponen, A., Moilanen, A., and Ferrier, S.: A successful
community-level strategy for conservation prioritization, J. Appl.
Ecol., 45, 1436–1445, 2008.
Asaad, I., Lundquist, C. J., Erdmann, M. V., Van Hooidonk, R., and Costello,
M. J.: Designating Spatial Priorities for Marine Biodiversity Conservation
in the Coral Triangle, Front. Marine Sci., 5, 400,
https://doi.org/10.3389/fmars.2018.00400, 2018.
Asaad, I., Lundquist, C. J., Erdmann, M. V., and Costello, M. J.: An interactive atlas for marine biodiversity conservation in the Coral Triangle, Earth Syst. Sci. Data, 11, 163–174, https://doi.org/10.5194/essd-11-163-2019, 2019.
Assis, J., Tyberghein, L., Bosch, S., Verbruggen, H., Serrão, E. A., and
De Clerck, O.: Bio-ORACLE v2.0: Extending marine data layers for bioclimatic
modelling, Global Ecol. Biogeogr., 27, 277–284, https://doi.org/10.1111/geb.12693, 2018.
Ball, I. R., Possingham, H. P., and Watts, M.: Marxan and relatives:
software for spatial conservation prioritisation, in: Spatial conservation
prioritisation: Quantitative methods and computational tools, edited by: Moilanen, A., Wilson, K. A., and Possingham, H., Oxford University Press, 185–196, ISBN-10 9780199547777,
2009.
Barale, V., Dusart, J., Assouline, M., and Niceta, F.: European Atlas of the Seas: “a picture is worth a thousand words”, J. Coastal Conserv., 22, 105–113, 2018.
Beale, C. M. and Lennon, J. J.: Incorporating uncertainty in predictive
species distribution modelling, Philos. T. R. Soc. Lond. B., 367,
247–258, https://doi.org/10.1098/rstb.2011.0178, 2012.
Bowden, D. A., Anderson, O. F., Rowden, A. A., Stephenson, F., and Clark, M.
R.: Assessing Habitat Suitability Models for the Deep Sea: Is Our Ability to
Predict the Distributions of Seafloor Fauna Improving?, Front. Marine
Sci., 8, 632389, https://doi.org/10.3389/fmars.2021.632389, 2021.
Breiman, L.: Random forests, Mach. Learn., 45, 5–32, 2001.
Costello, M. J., Tsai, P., Wong, P. S., Cheung, A. K. L., Basher, Z., and
Chaudhary, C.: Marine biogeographic realms and species endemicity, Nat.
Commun., 8, 1057, https://doi.org/10.1038/s41467-017-01121-2, 2017.
Domínguez-Tejo, E., Metternicht, G., Johnston, E., and Hedge, L.:
Marine Spatial Planning advancing the Ecosystem-Based Approach to coastal
zone management: A review, Marine Policy, 72, 115–130,
https://doi.org/10.1016/j.marpol.2016.06.023, 2016.
Elith, J. and Leathwick, J. R.: Species Distribution Models: Ecological
Explanation and Prediction Across Space and Time, Annu. Rev. Ecol. Evol. Syst., 40, 677–697,
https://doi.org/10.1146/annurev.ecolsys.110308.120159, 2009.
Elith, J., Graham, C. H., Anderson, R. P., Dudík, M., Ferrier, S.,
Guisan, A., Hijmans, R. J., Huettmann, F., Leathwick, J. R., Lehmann, A.,
Li, J., Lohmann, L. G., Loiselle, B. A., Manion, G., Moritz, C., Nakamura,
M., Nakazawa, Y., Overton, J., Townsend, P., A, Phillips, S. J., Richardson,
K., Scachetti-Pereira, R., Schapire, R. E., Soberón, J., Williams, S.,
Wisz, M. S., and Zimmermann, N. E.: Novel methods improve prediction of
species' distributions from occurrence data, Ecography, 29, 129–151,
https://doi.org/10.1111/j.2006.0906-7590.04596.x, 2006.
ESRI, GEBCO, Garmin, NaturalVue | ESRI, GEBCO, IHO-IOC GEBCO, Garmin, NGS: World imagery basemap, https://deptconservation.maps.arcgis.com/apps/webappviewer/index.html?id=e4a32512b53848e3a9300066f2f2dc7a&webmap=437c8c1e4f06485a9aee9f479337090c (last access: November 2022), 2022.
Ferrier, S., Manion, G., Elith, J., and Richardson, K.: Using generalized
dissimilarity modelling to analyse and predict patterns of beta diversity in
regional biodiversity assessment, Divers. Distrib., 13, 252–264,
2007.
Georgian, S. E., Anderson, O. F., and Rowden, A. A.: Ensemble habitat
suitability modeling of vulnerable marine ecosystem indicator taxa to inform
deep-sea fisheries management in the South Pacific Ocean, Fish.
Res., 211, 256–274, https://doi.org/10.1016/j.fishres.2018.11.020, 2019.
Gordon, D. P., Beaumont, J., MacDiarmid, A., Robertson, D. A., and Ahyong,
S. T.: Marine Biodiversity of Aotearoa New Zealand, PLoS ONE 5, e10905, https://doi.org/10.1371/journal.pone.0010905,
2010.
Hamylton, S. M. (Ed.): Spatial analysis of coastal environments, Cambridge
University Press, ISBN 9781107707412, https://doi.org/10.1017/9781107707412, 2017.
Henriques, N. S., Monteiro, P., Bentes, L., Oliveira, F., Afonso, C. M. L.,
and Gonçalves, J. M. S.: Marxan as a zoning tool for development and
economic purposed areas – Aquaculture Management Areas (AMAs), Ocean
Coast. Manage., 141, 90–97, https://doi.org/10.1016/j.ocecoaman.2017.03.016, 2017.
Hewitt, J., Faulkner, L., Greenaway, A., and Lundquist, C.: Proposed
ecosystem-based management principles for New Zealand, Resource Management
Journal, 2018, 10–13, 2018.
Hortal, J., de Bello, F., Diniz-Filho, J. A. F., Lewinsohn, T. M., Lobo, J.
M., and Ladle, R. J.: Seven shortfalls that beset large-scale knowledge of
biodiversity, Annu. Rev. Ecol. Evol. Syst., 46,
523–549, 2015.
Howard, C., Stephens, P. A., Pearce-Higgins, J. W., Gregory, R. D., Willis,
S. G., and McPherson, J.: Improving species distribution models: the value
of data on abundance, Methods Ecol. Evol., 5, 506–513,
https://doi.org/10.1111/2041-210x.12184, 2014.
Leathwick, J., Elith, J., Francis, M., Hastie, T., and Taylor, P.: Variation
in demersal fish species richness in the oceans surrounding New Zealand: an
analysis using boosted regression trees, Marine Ecology Progress Series,
321, 267–281, 2006.
Le Heron, E., Le Heron, R., Taylor, L., Lundquist, C., and Greenaway, A.:
Remaking ocean governance in Aotearoa New Zealand through boundary-crossing
narratives about ecosystem-based management, Marine Policy, 122, 104222,
https://doi.org/10.1016/j.marpol.2020.104222, 2020.
Moilanen, A., Kujala, H., and Leathwick, J.: The Zonation framework and
software for conservation prioritization, Spatial conservation
prioritisation, 135, 196–210, 2009.
Moilanen, A., Leathwick, J. R., and Quinn, J. M.: Spatial prioritization of
conservation management, Conserv. Lett., 4, 383–393, 2011.
Peart, R.: Sea Change Tai Timu Tai Pari: addressing catchment and marine
issues in an integrated marine spatial planning process, Aquat. Conserv.:
Mar. Freshwat. Ecosyst., 29, 1561–1573, https://doi.org/10.1002/aqc.3156, 2019.
Phillips, S. J., Anderson, R. P., and Schapire, R. E.: Maximum entropy
modeling of species geographic distributions, Ecol. Model., 190,
231–259, 2006.
Rowden, A. A., Stephenson, F., Clark, M. R., Anderson, O. F., Guinotte, J.
M., Baird, S. J., Roux, M. J., Wadhwa, S., Cryer, M., and Lundquist, C.:
Examining the utility of a decision-support tool to develop spatial
management options for the protection of vulnerable marine ecosystems on the
high seas around New Zealand, Ocean Coast. Manage., 170, 1–16,
https://doi.org/10.1016/j.ocecoaman.2018.12.033, 2019.
Stephenson, F., Hewitt, J. E., Torres, L. G., Mouton, T. L., Brough, T.,
Goetz, K. T., Lundquist, C. J., MacDiarmid, A. B., Ellis, J., and
Constantine, R.: Cetacean conservation planning in a global diversity
hotspot: dealing with uncertainty and data deficiencies, Ecosphere, 12,
e03633, https://doi.org/10.1002/ecs2.3633, 2021a.
Stephenson, F., Rowden, A. A., Anderson, O. F., Pitcher, C. R., Pinkerton,
M. H., Petersen, G., and Bowden, D. A.: Presence-only habitat suitability
models for vulnerable marine ecosystem indicator taxa in the South Pacific
have reached their predictive limit, ICES J. Mar. Sci., 78, 2830–2843,
https://doi.org/10.1093/icesjms/fsab162, 2021b.
Stephenson, F., Brough, T., Lohrer, D., Leduc, D., Geange, S., Anderson, O.,
Bowden, D., Clark, M. R., Davey, N., Pardo, E., Gordon, D. P., Finucci, B.,
Kelly, M., Macpherson, D., McCartain, L., Mills, S., Neill, K., Nelson, W.,
Peart, R., Pinkerton, M. W., Read, G., Robertson, J., Rowden, A., Schnabel,
K., Stewart, A., Struthers, C., Tait, L., Tracey, D., Weston, S., and
Lundquist, C.: An atlas of seabed biodiversity for Aotearoa New Zealand, Zenodo
[data set], https://doi.org/10.5281/zenodo.7083642, 2022.
Thomson, R. J., Hill, N. A., Leaper, R., Ellis, N., Pitcher, C. R., Barrett,
N. S., and J Edgar, G.: Congruence in demersal fish, macroinvertebrate, and
macroalgal community turnover on shallow temperate reefs, Ecol.
Appl., 24, 287–299, 2014.
Young, M., Carr, M. H., and Robertson, M.: Application of species
distribution models to explain and predict the distribution, abundance and
assemblage structure of nearshore temperate reef fishes, Divers.
Distrib., 21, 1428–1440, https://doi.org/10.1111/ddi.12378, 2015.
Zhao, Q., Stephenson, F., Lundquist, C., Kaschner, K., Jayathilake, D., and
Costello, M. J.: Where Marine Protected Areas would best represent 30 % of
ocean biodiversity, Biol. Conserv., 244, 108536,
https://doi.org/10.1016/j.biocon.2020.108536, 2020.
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.
Understanding the distribution of species that live at the seafloor is critical to the...
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