Description of a global marine particulate organic carbon-13 isotope data set

International audience Marine particulate organic carbon stable isotope ratios (δ 13 C POC ) provide insights into understanding carbon cycling through the atmosphere, ocean and biosphere. They have for example been used to trace the input of anthropogenic carbon in the marine ecosystem due to the d...

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Published in:Earth System Science Data
Main Authors: Verwega, Maria-Theresia, Somes, Christopher J., Schartau, Markus, Tuerena, Robyn Elizabeth, Lorrain, Anne, Oschlies, Andreas, Slawig, Thomas
Other Authors: Laboratoire des Sciences de l'Environnement Marin (LEMAR) (LEMAR), Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Institut Universitaire Européen de la Mer (IUEM), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2021
Subjects:
Online Access:https://hal-insu.archives-ouvertes.fr/insu-03685879
https://hal-insu.archives-ouvertes.fr/insu-03685879/document
https://hal-insu.archives-ouvertes.fr/insu-03685879/file/essd-13-4861-2021.pdf
https://doi.org/10.5194/essd-13-4861-2021
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spelling ftunivnantes:oai:HAL:insu-03685879v1 2023-05-15T15:11:46+02:00 Description of a global marine particulate organic carbon-13 isotope data set Verwega, Maria-Theresia Somes, Christopher J. Schartau, Markus Tuerena, Robyn Elizabeth Lorrain, Anne Oschlies, Andreas Slawig, Thomas Laboratoire des Sciences de l'Environnement Marin (LEMAR) (LEMAR) Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Institut Universitaire Européen de la Mer (IUEM) Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS) 2021 https://hal-insu.archives-ouvertes.fr/insu-03685879 https://hal-insu.archives-ouvertes.fr/insu-03685879/document https://hal-insu.archives-ouvertes.fr/insu-03685879/file/essd-13-4861-2021.pdf https://doi.org/10.5194/essd-13-4861-2021 en eng HAL CCSD Copernicus Publications info:eu-repo/semantics/altIdentifier/doi/10.5194/essd-13-4861-2021 insu-03685879 https://hal-insu.archives-ouvertes.fr/insu-03685879 https://hal-insu.archives-ouvertes.fr/insu-03685879/document https://hal-insu.archives-ouvertes.fr/insu-03685879/file/essd-13-4861-2021.pdf BIBCODE: 2021ESSD.13.4861V doi:10.5194/essd-13-4861-2021 IRD: fdi:010083290 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 1866-3508 Earth System Science Data https://hal-insu.archives-ouvertes.fr/insu-03685879 Earth System Science Data, Copernicus Publications, 2021, 13, pp.4861-4880. &#x27E8;10.5194/essd-13-4861-2021&#x27E9; [SDU]Sciences of the Universe [physics] info:eu-repo/semantics/article Journal articles 2021 ftunivnantes https://doi.org/10.5194/essd-13-4861-2021 2022-06-12T05:52:27Z International audience Marine particulate organic carbon stable isotope ratios (δ 13 C POC ) provide insights into understanding carbon cycling through the atmosphere, ocean and biosphere. They have for example been used to trace the input of anthropogenic carbon in the marine ecosystem due to the distinct isotopically light signature of anthropogenic emissions. However, δ 13 C POC is also significantly altered during photosynthesis by phytoplankton, which complicates its interpretation. For such purposes, robust spatio-temporal coverage of δ 13 C POC observations is essential. We collected all such available data sets and merged and homogenized them to provide the largest available marine δ 13 C POC data set (https://doi.org/10.1594/PANGAEA.929931; Verwega et al., 2021). The data set consists of 4732 data points covering all major ocean basins beginning in the 1960s. We describe the compiled raw data, compare different observational methods, and provide key insights in the temporal and spatial distribution that is consistent with previously observed large-scale patterns. The main different sample collection methods (bottle, intake, net, trap) are generally consistent with each other when comparing within regions. An analysis of 1990s median δ 13 C POC values in a meridional section across the best-covered Atlantic Ocean shows relatively high values (≥-22 ‰) in the low latitudes (<30°) trending towards lower values in the Arctic Ocean (∼-24 ‰) and Southern Ocean (≤-28 ‰). The temporal trend since the 1960s shows a decrease in the median δ 13 C POC by more than 3 ‰ in all basins except for the Southern Ocean, which shows a weaker trend but contains relatively poor multi-decadal coverage. Article in Journal/Newspaper Arctic Arctic Ocean Phytoplankton Southern Ocean Université de Nantes: HAL-UNIV-NANTES Arctic Arctic Ocean Southern Ocean Earth System Science Data 13 10 4861 4880
institution Open Polar
collection Université de Nantes: HAL-UNIV-NANTES
op_collection_id ftunivnantes
language English
topic [SDU]Sciences of the Universe [physics]
spellingShingle [SDU]Sciences of the Universe [physics]
Verwega, Maria-Theresia
Somes, Christopher J.
Schartau, Markus
Tuerena, Robyn Elizabeth
Lorrain, Anne
Oschlies, Andreas
Slawig, Thomas
Description of a global marine particulate organic carbon-13 isotope data set
topic_facet [SDU]Sciences of the Universe [physics]
description International audience Marine particulate organic carbon stable isotope ratios (δ 13 C POC ) provide insights into understanding carbon cycling through the atmosphere, ocean and biosphere. They have for example been used to trace the input of anthropogenic carbon in the marine ecosystem due to the distinct isotopically light signature of anthropogenic emissions. However, δ 13 C POC is also significantly altered during photosynthesis by phytoplankton, which complicates its interpretation. For such purposes, robust spatio-temporal coverage of δ 13 C POC observations is essential. We collected all such available data sets and merged and homogenized them to provide the largest available marine δ 13 C POC data set (https://doi.org/10.1594/PANGAEA.929931; Verwega et al., 2021). The data set consists of 4732 data points covering all major ocean basins beginning in the 1960s. We describe the compiled raw data, compare different observational methods, and provide key insights in the temporal and spatial distribution that is consistent with previously observed large-scale patterns. The main different sample collection methods (bottle, intake, net, trap) are generally consistent with each other when comparing within regions. An analysis of 1990s median δ 13 C POC values in a meridional section across the best-covered Atlantic Ocean shows relatively high values (≥-22 ‰) in the low latitudes (<30°) trending towards lower values in the Arctic Ocean (∼-24 ‰) and Southern Ocean (≤-28 ‰). The temporal trend since the 1960s shows a decrease in the median δ 13 C POC by more than 3 ‰ in all basins except for the Southern Ocean, which shows a weaker trend but contains relatively poor multi-decadal coverage.
author2 Laboratoire des Sciences de l'Environnement Marin (LEMAR) (LEMAR)
Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Institut Universitaire Européen de la Mer (IUEM)
Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)
format Article in Journal/Newspaper
author Verwega, Maria-Theresia
Somes, Christopher J.
Schartau, Markus
Tuerena, Robyn Elizabeth
Lorrain, Anne
Oschlies, Andreas
Slawig, Thomas
author_facet Verwega, Maria-Theresia
Somes, Christopher J.
Schartau, Markus
Tuerena, Robyn Elizabeth
Lorrain, Anne
Oschlies, Andreas
Slawig, Thomas
author_sort Verwega, Maria-Theresia
title Description of a global marine particulate organic carbon-13 isotope data set
title_short Description of a global marine particulate organic carbon-13 isotope data set
title_full Description of a global marine particulate organic carbon-13 isotope data set
title_fullStr Description of a global marine particulate organic carbon-13 isotope data set
title_full_unstemmed Description of a global marine particulate organic carbon-13 isotope data set
title_sort description of a global marine particulate organic carbon-13 isotope data set
publisher HAL CCSD
publishDate 2021
url https://hal-insu.archives-ouvertes.fr/insu-03685879
https://hal-insu.archives-ouvertes.fr/insu-03685879/document
https://hal-insu.archives-ouvertes.fr/insu-03685879/file/essd-13-4861-2021.pdf
https://doi.org/10.5194/essd-13-4861-2021
geographic Arctic
Arctic Ocean
Southern Ocean
geographic_facet Arctic
Arctic Ocean
Southern Ocean
genre Arctic
Arctic Ocean
Phytoplankton
Southern Ocean
genre_facet Arctic
Arctic Ocean
Phytoplankton
Southern Ocean
op_source ISSN: 1866-3508
Earth System Science Data
https://hal-insu.archives-ouvertes.fr/insu-03685879
Earth System Science Data, Copernicus Publications, 2021, 13, pp.4861-4880. &#x27E8;10.5194/essd-13-4861-2021&#x27E9;
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https://hal-insu.archives-ouvertes.fr/insu-03685879
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BIBCODE: 2021ESSD.13.4861V
doi:10.5194/essd-13-4861-2021
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container_title Earth System Science Data
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