Articles | Volume 13, issue 10
https://doi.org/10.5194/essd-13-4913-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/essd-13-4913-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
An 18S V4 rRNA metabarcoding dataset of protist diversity in the Atlantic inflow to the Arctic Ocean, through the year and down to 1000 m depth
Department of Biosciences, Section for Aquatic Biology and Toxicology, University of Oslo, P.O. Box 1066 Blindern, 0316 Oslo, Norway
present address: Fakultät für Biologie, University of Duisburg-Essen, Universitätsstr. 5, 45141 Essen, Germany
Stephanie Elferink
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Am Handelshafen 12, Bremerhaven 27570, Germany
Daniel Vaulot
UMR7144, CNRS, Sorbonne Université, Station Biologique de Roscoff, Place Georges Teissier, 29682 Roscoff, France
Asian School of the Environment, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Am Handelshafen 12, Bremerhaven 27570, Germany
Gunnar Bratbak
Department of Biological Sciences, University of Bergen, P.O. Box 7803, 5020 Bergen, Norway
Aud Larsen
NORCE Norwegian Research Centre, P.O. Box 7810, 5020 Bergen, Norway
Bente Edvardsen
Department of Biosciences, Section for Aquatic Biology and Toxicology, University of Oslo, P.O. Box 1066 Blindern, 0316 Oslo, Norway
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Hanna M. Kauko, Philipp Assmy, Ilka Peeken, Magdalena Różańska-Pluta, Józef M. Wiktor, Gunnar Bratbak, Asmita Singh, Thomas J. Ryan-Keogh, and Sebastien Moreau
Biogeosciences, 19, 5449–5482, https://doi.org/10.5194/bg-19-5449-2022, https://doi.org/10.5194/bg-19-5449-2022, 2022
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This article studies phytoplankton (microscopic
plantsin the ocean capable of photosynthesis) in Kong Håkon VII Hav in the Southern Ocean. Different species play different roles in the ecosystem, and it is therefore important to assess the species composition. We observed that phytoplankton blooms in this area are formed by large diatoms with strong silica armors, which can lead to high silica (and sometimes carbon) export to depth and be important prey for krill.
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.
Cora Hörstmann, Eric J. Raes, Pier Luigi Buttigieg, Claire Lo Monaco, Uwe John, and Anya M. Waite
Biogeosciences, 18, 3733–3749, https://doi.org/10.5194/bg-18-3733-2021, https://doi.org/10.5194/bg-18-3733-2021, 2021
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Microbes are the main drivers of productivity and nutrient cycling in the ocean. We present a combined approach assessing C and N uptake and microbial community diversity across ecological provinces in the Southern Ocean and southern Indian Ocean. Provinces showed distinct genetic fingerprints, but microbial activity varied gradually across regions, correlating with nutrient concentrations. Our study advances the biogeographic understanding of microbial diversity across C and N uptake regimes.
Philippe Massicotte, Rainer M. W. Amon, David Antoine, Philippe Archambault, Sergio Balzano, Simon Bélanger, Ronald Benner, Dominique Boeuf, Annick Bricaud, Flavienne Bruyant, Gwenaëlle Chaillou, Malik Chami, Bruno Charrière, Jing Chen, Hervé Claustre, Pierre Coupel, Nicole Delsaut, David Doxaran, Jens Ehn, Cédric Fichot, Marie-Hélène Forget, Pingqing Fu, Jonathan Gagnon, Nicole Garcia, Beat Gasser, Jean-François Ghiglione, Gaby Gorsky, Michel Gosselin, Priscillia Gourvil, Yves Gratton, Pascal Guillot, Hermann J. Heipieper, Serge Heussner, Stanford B. Hooker, Yannick Huot, Christian Jeanthon, Wade Jeffrey, Fabien Joux, Kimitaka Kawamura, Bruno Lansard, Edouard Leymarie, Heike Link, Connie Lovejoy, Claudie Marec, Dominique Marie, Johannie Martin, Jacobo Martín, Guillaume Massé, Atsushi Matsuoka, Vanessa McKague, Alexandre Mignot, William L. Miller, Juan-Carlos Miquel, Alfonso Mucci, Kaori Ono, Eva Ortega-Retuerta, Christos Panagiotopoulos, Tim Papakyriakou, Marc Picheral, Louis Prieur, Patrick Raimbault, Joséphine Ras, Rick A. Reynolds, André Rochon, Jean-François Rontani, Catherine Schmechtig, Sabine Schmidt, Richard Sempéré, Yuan Shen, Guisheng Song, Dariusz Stramski, Eri Tachibana, Alexandre Thirouard, Imma Tolosa, Jean-Éric Tremblay, Mickael Vaïtilingom, Daniel Vaulot, Frédéric Vaultier, John K. Volkman, Huixiang Xie, Guangming Zheng, and Marcel Babin
Earth Syst. Sci. Data, 13, 1561–1592, https://doi.org/10.5194/essd-13-1561-2021, https://doi.org/10.5194/essd-13-1561-2021, 2021
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The MALINA oceanographic expedition was conducted in the Mackenzie River and the Beaufort Sea systems. The sampling was performed across seven shelf–basin transects to capture the meridional gradient between the estuary and the open ocean. The main goal of this research program was to better understand how processes such as primary production are influencing the fate of organic matter originating from the surrounding terrestrial landscape during its transition toward the Arctic Ocean.
Philippe Massicotte, Rémi Amiraux, Marie-Pier Amyot, Philippe Archambault, Mathieu Ardyna, Laurent Arnaud, Lise Artigue, Cyril Aubry, Pierre Ayotte, Guislain Bécu, Simon Bélanger, Ronald Benner, Henry C. Bittig, Annick Bricaud, Éric Brossier, Flavienne Bruyant, Laurent Chauvaud, Debra Christiansen-Stowe, Hervé Claustre, Véronique Cornet-Barthaux, Pierre Coupel, Christine Cox, Aurelie Delaforge, Thibaud Dezutter, Céline Dimier, Florent Domine, Francis Dufour, Christiane Dufresne, Dany Dumont, Jens Ehn, Brent Else, Joannie Ferland, Marie-Hélène Forget, Louis Fortier, Martí Galí, Virginie Galindo, Morgane Gallinari, Nicole Garcia, Catherine Gérikas Ribeiro, Margaux Gourdal, Priscilla Gourvil, Clemence Goyens, Pierre-Luc Grondin, Pascal Guillot, Caroline Guilmette, Marie-Noëlle Houssais, Fabien Joux, Léo Lacour, Thomas Lacour, Augustin Lafond, José Lagunas, Catherine Lalande, Julien Laliberté, Simon Lambert-Girard, Jade Larivière, Johann Lavaud, Anita LeBaron, Karine Leblanc, Florence Le Gall, Justine Legras, Mélanie Lemire, Maurice Levasseur, Edouard Leymarie, Aude Leynaert, Adriana Lopes dos Santos, Antonio Lourenço, David Mah, Claudie Marec, Dominique Marie, Nicolas Martin, Constance Marty, Sabine Marty, Guillaume Massé, Atsushi Matsuoka, Lisa Matthes, Brivaela Moriceau, Pierre-Emmanuel Muller, Christopher-John Mundy, Griet Neukermans, Laurent Oziel, Christos Panagiotopoulos, Jean-Jacques Pangrazi, Ghislain Picard, Marc Picheral, France Pinczon du Sel, Nicole Pogorzelec, Ian Probert, Bernard Quéguiner, Patrick Raimbault, Joséphine Ras, Eric Rehm, Erin Reimer, Jean-François Rontani, Søren Rysgaard, Blanche Saint-Béat, Makoto Sampei, Julie Sansoulet, Catherine Schmechtig, Sabine Schmidt, Richard Sempéré, Caroline Sévigny, Yuan Shen, Margot Tragin, Jean-Éric Tremblay, Daniel Vaulot, Gauthier Verin, Frédéric Vivier, Anda Vladoiu, Jeremy Whitehead, and Marcel Babin
Earth Syst. Sci. Data, 12, 151–176, https://doi.org/10.5194/essd-12-151-2020, https://doi.org/10.5194/essd-12-151-2020, 2020
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The Green Edge initiative was developed to understand the processes controlling the primary productivity and the fate of organic matter produced during the Arctic spring bloom (PSB). In this article, we present an overview of an extensive and comprehensive dataset acquired during two expeditions conducted in 2015 and 2016 on landfast ice southeast of Qikiqtarjuaq Island in Baffin Bay.
Peter von Dassow, Francisco Díaz-Rosas, El Mahdi Bendif, Juan-Diego Gaitán-Espitia, Daniella Mella-Flores, Sebastian Rokitta, Uwe John, and Rodrigo Torres
Biogeosciences, 15, 1515–1534, https://doi.org/10.5194/bg-15-1515-2018, https://doi.org/10.5194/bg-15-1515-2018, 2018
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Coccolithophores are microalgae which produce much of the calcium carbonate in the ocean, important to making organic carbon sink to great depths, and they may be negatively affected by the decline in ocean pH as CO2 rises. Can these important microbes adapt? This study found that coccolithophores inhabiting waters naturally low in pH may have already reached the limit of their ability to adapt. This suggests that how the ocean's biota sequester carbon will be strongly affected in the future.
A. C. Gerecht, L. Šupraha, B. Edvardsen, I. Probert, and J. Henderiks
Biogeosciences, 11, 3531–3545, https://doi.org/10.5194/bg-11-3531-2014, https://doi.org/10.5194/bg-11-3531-2014, 2014
Related subject area
Biosphere – Biodiversity
New historical data for long-term swordfish ecological studies in the Mediterranean Sea
Integrated ecological monitoring in Wales: the Glastir Monitoring and Evaluation Programme field survey
Multi-scale data on intertidal macrobenthic biodiversity and environmental features in three New Zealand harbours
The Arctic Traits Database – a repository of Arctic benthic invertebrate traits
Freshwater fish fauna of rivers of the southern Western Ghats, India
Copepod species abundance from the Southern Ocean and other regions (1980–2005) – a legacy
Land cover and vegetation data from an ecological survey of "key habitat" landscapes in England, 1992–1993
Growth characteristics of natural and planted Dahurian larch in northeast China
Ecological landscape elements: long-term monitoring in Great Britain, the Countryside Survey 1978–2007 and beyond
Seabed images from Southern Ocean shelf regions off the northern Antarctic Peninsula and in the southeastern Weddell Sea
Long-term vegetation monitoring in Great Britain – the Countryside Survey 1978–2007 and beyond
Standardization of a geo-referenced fishing data set for the Indian Ocean bigeye tuna, Thunnus obesus (1952–2014)
Ecological survey of the native pinewoods of Scotland 1971
Survey of the terrestrial habitats and vegetation of Shetland, 1974 – a framework for long-term ecological monitoring
Woodland Survey of Great Britain 1971–2001
Brian R. MacKenzie, Teresa Romeo, Piero Addis, Pietro Battaglia, Pierpaolo Consoli, Franco Andaloro, and Gianluca Sarà
Earth Syst. Sci. Data, 13, 5867–5877, https://doi.org/10.5194/essd-13-5867-2021, https://doi.org/10.5194/essd-13-5867-2021, 2021
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Management of marine fisheries and ecosystems is limited by knowledge based on datasets which are short and recent. We recovered new long-term catch and size data for swordfish in the Mediterranean Sea. Our new data series cover the period 1896–2010, which predates most other Mediterranean swordfish datasets. The data allow scientists to investigate long-term effects of fishing and ocean–climate conditions on swordfish ecology in the Mediterranean Sea.
Claire M. Wood, Jamie Alison, Marc S. Botham, Annette Burden, François Edwards, R. Angus Garbutt, Paul B. L. George, Peter A. Henrys, Russel Hobson, Susan Jarvis, Patrick Keenan, Aidan M. Keith, Inma Lebron, Lindsay C. Maskell, Lisa R. Norton, David A. Robinson, Fiona M. Seaton, Peter Scarlett, Gavin M. Siriwardena, James Skates, Simon M. Smart, Bronwen Williams, and Bridget A. Emmett
Earth Syst. Sci. Data, 13, 4155–4173, https://doi.org/10.5194/essd-13-4155-2021, https://doi.org/10.5194/essd-13-4155-2021, 2021
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The Glastir Monitoring and Evaluation Programme (GMEP) ran from 2013 until 2016, as a national programme of ecological study in Wales. GMEP included a large field survey component, collecting data on a range of elements including vegetation, land cover and land use, soils, freshwater, birds, and insect pollinators. GMEP was designed so that surveys could be repeated at regular intervals to monitor the Welsh environment. Data from GMEP have been used to address many applied policy questions.
Casper Kraan, Barry L. Greenfield, and Simon F. Thrush
Earth Syst. Sci. Data, 12, 293–297, https://doi.org/10.5194/essd-12-293-2020, https://doi.org/10.5194/essd-12-293-2020, 2020
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Understanding how the plants and animals that live in the sea floor vary in their spatial patterns of diversity and abundance is fundamental to gaining insight into the role of biodiversity in maintaining ecosystem functioning in coastal ecosystems. Yet data are lacking. Therefore, we collected multi-scale high-resolution data on macrobenthic biodiversity in New Zealand marine sandflats. For 1200 sampling locations we provide data on benthic biodiversity and associated environmental variables.
Renate Degen and Sarah Faulwetter
Earth Syst. Sci. Data, 11, 301–322, https://doi.org/10.5194/essd-11-301-2019, https://doi.org/10.5194/essd-11-301-2019, 2019
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Trait-based approaches (such that consider the life history, morphological, physiological and behavioral characteristics of species) promise new insights in ecology. To facilitate these approaches also in polar regions, we provide the free and easily accessible Arctic Traits Database to the scientific community. Trait information was collected from literature and via communication with experts. At present the database holds trait information for more than 1900 arctic taxa.
Anbu Aravazhi Arunkumar and Arunachalam Manimekalan
Earth Syst. Sci. Data, 10, 1735–1752, https://doi.org/10.5194/essd-10-1735-2018, https://doi.org/10.5194/essd-10-1735-2018, 2018
Astrid Cornils, Rainer Sieger, Elke Mizdalski, Stefanie Schumacher, Hannes Grobe, and Sigrid B. Schnack-Schiel
Earth Syst. Sci. Data, 10, 1457–1471, https://doi.org/10.5194/essd-10-1457-2018, https://doi.org/10.5194/essd-10-1457-2018, 2018
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Copepods are the predominant taxon in marine zooplankton and play an important role in the pelagic food web as intermediators between primary producers, the microbial loop and higher trophic levels. Here, we provide 33 data sets with abundances for a total of 312 copepod taxa from the Southern Ocean, the Magellan region, the Great Meteor Bank and the northern Red Sea, and the Gulf of Aqaba.
Claire M. Wood, Robert G. H. Bunce, Lisa R. Norton, Simon M. Smart, and Colin J. Barr
Earth Syst. Sci. Data, 10, 899–918, https://doi.org/10.5194/essd-10-899-2018, https://doi.org/10.5194/essd-10-899-2018, 2018
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In the 1990s, ecological survey work was carried out in English landscapes containing semi-natural habitats that were perceived to be under threat, or which represented areas of concern ("key habitats"), complementing the national Countryside Survey of Great Britain. The landscapes were lowland heath, chalk and limestone grasslands, coasts and uplands. Standardised procedures were used to record ecological data from representative 1 km squares throughout England in 1992 and 1993.
Bingrui Jia and Guangsheng Zhou
Earth Syst. Sci. Data, 10, 893–898, https://doi.org/10.5194/essd-10-893-2018, https://doi.org/10.5194/essd-10-893-2018, 2018
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Dahurian larch (Larix gmelinii) is the dominant species in northeast China, which is situated in the southernmost part of the global boreal forest and is undergoing great climate change. Its growth characteristics (tree height, diameter at breast height, tree volume and/or stand volume) were collected from published studies from 1965 to 2015. The data set (N=743) provides a quantitative reference for plantation management practices and boreal forest growth prediction under future climate change.
Claire M. Wood, Robert G. H. Bunce, Lisa R. Norton, Lindsay C. Maskell, Simon M. Smart, W. Andrew Scott, Peter A. Henrys, David C. Howard, Simon M. Wright, Michael J. Brown, Rod J. Scott, Rick C. Stuart, and John W. Watkins
Earth Syst. Sci. Data, 10, 745–763, https://doi.org/10.5194/essd-10-745-2018, https://doi.org/10.5194/essd-10-745-2018, 2018
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The Countryside Survey (CS) of Great Britain consists of an extensive set of repeated ecological measurements at a national scale, covering a time span of 29 years. CS was first undertaken in 1978 to monitor ecological and land use change in Britain using standardised procedures for recording ecological data from representative 1 km squares throughout the country. The mapping of ecological landscape elements has subsequently been repeated in 1984, 1990, 1998 and 2007.
Dieter Piepenburg, Alexander Buschmann, Amelie Driemel, Hannes Grobe, Julian Gutt, Stefanie Schumacher, Alexandra Segelken-Voigt, and Rainer Sieger
Earth Syst. Sci. Data, 9, 461–469, https://doi.org/10.5194/essd-9-461-2017, https://doi.org/10.5194/essd-9-461-2017, 2017
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An ocean floor observation system (OFOS) was used to collect seabed imagery on two cruises of the RV Polarstern, ANT-XXIX/3 (PS81) to the Antarctic Peninsula from January to March 2013 and ANT-XXXI/2 (PS96) to the Weddell Sea from December 2015 to February 2016. We report on the image and data collections gathered during these cruises. Seabed images, including metadata, are available from the data publisher PANGAEA via https://doi.org/10.1594/PANGAEA.872719 (PS81) and https://doi.org/10.1594/PANGAEA.862097 (PS96).
Claire M. Wood, Simon M. Smart, Robert G. H. Bunce, Lisa R. Norton, Lindsay C. Maskell, David C. Howard, W. Andrew Scott, and Peter A. Henrys
Earth Syst. Sci. Data, 9, 445–459, https://doi.org/10.5194/essd-9-445-2017, https://doi.org/10.5194/essd-9-445-2017, 2017
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The Countryside Survey (CS) of Great Britain consists of an extensive set of repeated ecological measurements at a national scale, covering a time span of 29 years. CS was first undertaken in 1978 to monitor ecological and land use change in Britain using standardised procedures for recording ecological data from representative 1 km squares throughout the country. The vegetation component has subsequently been repeated in 1990, 1998 and 2007, and changes may be related to a range of drivers.
Teja A. Wibawa, Patrick Lehodey, and Inna Senina
Earth Syst. Sci. Data, 9, 163–179, https://doi.org/10.5194/essd-9-163-2017, https://doi.org/10.5194/essd-9-163-2017, 2017
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Geo-referenced catch and fishing effort data of the bigeye tuna fisheries in the Indian Ocean over 1952–2014 were analyzed and standardized to facilitate population dynamics modeling studies. A total of 30 fisheries were finally determined from longline, purse seine and other-gears data sets. Nevertheless, still one-third of total nominal catch is not included due to a total lack of geo-referenced information and would need to be processed separately.
Claire M. Wood and Robert G. H. Bunce
Earth Syst. Sci. Data, 8, 177–189, https://doi.org/10.5194/essd-8-177-2016, https://doi.org/10.5194/essd-8-177-2016, 2016
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In 1971, an ecological survey of the native pinewoods of Scotland was carried out. This unique habitat is widely recognised, not only by ecologists for its inherent biodiversity but also by the general public for its cultural and amenity value. The repeatable survey collected information on ground flora, soils, forest structure and general site information from 27 major pinewood sites. The results from the survey helped to set the conservation agenda for the old Caledonian pinewoods.
Claire M. Wood and Robert G. H. Bunce
Earth Syst. Sci. Data, 8, 89–103, https://doi.org/10.5194/essd-8-89-2016, https://doi.org/10.5194/essd-8-89-2016, 2016
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A survey of the natural environment was undertaken in Shetland in 1974, after concern was expressed that large-scale development from the new oil industry could threaten the natural features of the islands. A framework was constructed by the Institute of Terrestrial Ecology on which to select samples for the survey. The vegetation and habitat data that were collected, along with the sampling framework, have recently been made public.
C. M. Wood, S. M. Smart, and R. G. H. Bunce
Earth Syst. Sci. Data, 7, 203–214, https://doi.org/10.5194/essd-7-203-2015, https://doi.org/10.5194/essd-7-203-2015, 2015
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The Woodland Survey of Great Britain is a unique data set, consisting of a detailed range of ecological measurements at a national scale, covering a time span of 30 years. A set of 103 semi-natural woods spread across Britain were first surveyed in 1971, which were again surveyed in 2000-2003. Standardised methods of describing the trees, shrubs, ground flora, soils and general habitats present were used for both sets of surveys.
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Short summary
Here we present a dataset of DNA sequences obtained from size-fractionated seawater samples from the Arctic Ocean that are used to identify taxonomic groups of unicellular plankton. This dataset can be used to investigate the diversity and distribution of plankton groups both by season and by depth and thus increase our understanding of the factors influencing the dynamics of this important part of the Arctic marine ecosystem.
Here we present a dataset of DNA sequences obtained from size-fractionated seawater samples from...
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