Biogeographical Classification of the Global Ocean From BGC-Argo Floats

International audience Biogeographical classifications of the global ocean generalize spatiotemporal trends in species or biomass distributions across discrete ocean biomes or provinces. These classifications are generally based on a combination of remote-sensed proxies of phytoplankton biomass and...

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Published in:Global Biogeochemical Cycles
Main Authors: Bock, Nicholas, Cornec, Marin, Claustre, Hervé, Duhamel, Solange
Other Authors: Laboratoire d'océanographie de Villefranche (LOV), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de la Mer de Villefranche (IMEV), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2022
Subjects:
Online Access:https://insu.hal.science/insu-03779814
https://insu.hal.science/insu-03779814/document
https://insu.hal.science/insu-03779814/file/Global%20Biogeochemical%20Cycles%20-%202022%20-%20Bock%20-%20Biogeographical%20Classification%20of%20the%20Global%20Ocean%20From%20BGC%25u2010Argo%20Floats.pdf
https://doi.org/10.1029/2021GB007233
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spelling ftsorbonneuniv:oai:HAL:insu-03779814v1 2024-09-09T19:57:46+00:00 Biogeographical Classification of the Global Ocean From BGC-Argo Floats Bock, Nicholas Cornec, Marin Claustre, Hervé Duhamel, Solange Laboratoire d'océanographie de Villefranche (LOV) Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de la Mer de Villefranche (IMEV) Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) 2022 https://insu.hal.science/insu-03779814 https://insu.hal.science/insu-03779814/document https://insu.hal.science/insu-03779814/file/Global%20Biogeochemical%20Cycles%20-%202022%20-%20Bock%20-%20Biogeographical%20Classification%20of%20the%20Global%20Ocean%20From%20BGC%25u2010Argo%20Floats.pdf https://doi.org/10.1029/2021GB007233 en eng HAL CCSD American Geophysical Union info:eu-repo/semantics/altIdentifier/doi/10.1029/2021GB007233 insu-03779814 https://insu.hal.science/insu-03779814 https://insu.hal.science/insu-03779814/document https://insu.hal.science/insu-03779814/file/Global%20Biogeochemical%20Cycles%20-%202022%20-%20Bock%20-%20Biogeographical%20Classification%20of%20the%20Global%20Ocean%20From%20BGC%25u2010Argo%20Floats.pdf BIBCODE: 2022GBioC.3607233B doi:10.1029/2021GB007233 http://creativecommons.org/licenses/by-nc-sa/ info:eu-repo/semantics/OpenAccess ISSN: 0886-6236 EISSN: 1944-8224 Global Biogeochemical Cycles https://insu.hal.science/insu-03779814 Global Biogeochemical Cycles, 2022, 36, ⟨10.1029/2021GB007233⟩ phytoplankton community structure BGC-Argo marine biogeography bio-optical proxies [SDU]Sciences of the Universe [physics] info:eu-repo/semantics/article Journal articles 2022 ftsorbonneuniv https://doi.org/10.1029/2021GB007233 2024-07-25T23:47:48Z International audience Biogeographical classifications of the global ocean generalize spatiotemporal trends in species or biomass distributions across discrete ocean biomes or provinces. These classifications are generally based on a combination of remote-sensed proxies of phytoplankton biomass and global climatologies of biogeochemical or physical parameters. However, these approaches are limited in their capacity to account for subsurface variability in these parameters. The deployment of autonomous profiling floats in the Biogeochemical Argo network over the last decade has greatly increased global coverage of subsurface measurements of bio-optical proxies for phytoplankton biomass and physiology. In this study, we used empirical orthogonal function analysis to identify the main components of variability in a global data set of 422 annual time series of Chlorophyll a fluorescence and optical backscatter profiles. Applying cluster analysis to these results, we identified six biomes within the global ocean: two high-latitude biomes capturing summer bloom dynamics in the North Atlantic and Southern Ocean and four mid- and low-latitude biomes characterized by variability in the depth and frequency of deep chlorophyll maximum formation. We report the distribution of these biomes along with associated trends in biogeochemical and physicochemical environmental parameters. Our results demonstrate light and nutrients to explain most variability in phytoplankton distributions for all biomes, while highlighting a global inverse relationship between particle stocks in the euphotic zone and transfer efficiency into the mesopelagic zone. In addition to partitioning seasonal variability in vertical phytoplankton distributions at the global scale, our results provide a potentially novel biogeographical classification of the global ocean. Article in Journal/Newspaper North Atlantic Southern Ocean HAL Sorbonne Université Southern Ocean Global Biogeochemical Cycles 36 6
institution Open Polar
collection HAL Sorbonne Université
op_collection_id ftsorbonneuniv
language English
topic phytoplankton community structure
BGC-Argo
marine biogeography
bio-optical proxies
[SDU]Sciences of the Universe [physics]
spellingShingle phytoplankton community structure
BGC-Argo
marine biogeography
bio-optical proxies
[SDU]Sciences of the Universe [physics]
Bock, Nicholas
Cornec, Marin
Claustre, Hervé
Duhamel, Solange
Biogeographical Classification of the Global Ocean From BGC-Argo Floats
topic_facet phytoplankton community structure
BGC-Argo
marine biogeography
bio-optical proxies
[SDU]Sciences of the Universe [physics]
description International audience Biogeographical classifications of the global ocean generalize spatiotemporal trends in species or biomass distributions across discrete ocean biomes or provinces. These classifications are generally based on a combination of remote-sensed proxies of phytoplankton biomass and global climatologies of biogeochemical or physical parameters. However, these approaches are limited in their capacity to account for subsurface variability in these parameters. The deployment of autonomous profiling floats in the Biogeochemical Argo network over the last decade has greatly increased global coverage of subsurface measurements of bio-optical proxies for phytoplankton biomass and physiology. In this study, we used empirical orthogonal function analysis to identify the main components of variability in a global data set of 422 annual time series of Chlorophyll a fluorescence and optical backscatter profiles. Applying cluster analysis to these results, we identified six biomes within the global ocean: two high-latitude biomes capturing summer bloom dynamics in the North Atlantic and Southern Ocean and four mid- and low-latitude biomes characterized by variability in the depth and frequency of deep chlorophyll maximum formation. We report the distribution of these biomes along with associated trends in biogeochemical and physicochemical environmental parameters. Our results demonstrate light and nutrients to explain most variability in phytoplankton distributions for all biomes, while highlighting a global inverse relationship between particle stocks in the euphotic zone and transfer efficiency into the mesopelagic zone. In addition to partitioning seasonal variability in vertical phytoplankton distributions at the global scale, our results provide a potentially novel biogeographical classification of the global ocean.
author2 Laboratoire d'océanographie de Villefranche (LOV)
Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de la Mer de Villefranche (IMEV)
Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)
format Article in Journal/Newspaper
author Bock, Nicholas
Cornec, Marin
Claustre, Hervé
Duhamel, Solange
author_facet Bock, Nicholas
Cornec, Marin
Claustre, Hervé
Duhamel, Solange
author_sort Bock, Nicholas
title Biogeographical Classification of the Global Ocean From BGC-Argo Floats
title_short Biogeographical Classification of the Global Ocean From BGC-Argo Floats
title_full Biogeographical Classification of the Global Ocean From BGC-Argo Floats
title_fullStr Biogeographical Classification of the Global Ocean From BGC-Argo Floats
title_full_unstemmed Biogeographical Classification of the Global Ocean From BGC-Argo Floats
title_sort biogeographical classification of the global ocean from bgc-argo floats
publisher HAL CCSD
publishDate 2022
url https://insu.hal.science/insu-03779814
https://insu.hal.science/insu-03779814/document
https://insu.hal.science/insu-03779814/file/Global%20Biogeochemical%20Cycles%20-%202022%20-%20Bock%20-%20Biogeographical%20Classification%20of%20the%20Global%20Ocean%20From%20BGC%25u2010Argo%20Floats.pdf
https://doi.org/10.1029/2021GB007233
geographic Southern Ocean
geographic_facet Southern Ocean
genre North Atlantic
Southern Ocean
genre_facet North Atlantic
Southern Ocean
op_source ISSN: 0886-6236
EISSN: 1944-8224
Global Biogeochemical Cycles
https://insu.hal.science/insu-03779814
Global Biogeochemical Cycles, 2022, 36, ⟨10.1029/2021GB007233⟩
op_relation info:eu-repo/semantics/altIdentifier/doi/10.1029/2021GB007233
insu-03779814
https://insu.hal.science/insu-03779814
https://insu.hal.science/insu-03779814/document
https://insu.hal.science/insu-03779814/file/Global%20Biogeochemical%20Cycles%20-%202022%20-%20Bock%20-%20Biogeographical%20Classification%20of%20the%20Global%20Ocean%20From%20BGC%25u2010Argo%20Floats.pdf
BIBCODE: 2022GBioC.3607233B
doi:10.1029/2021GB007233
op_rights http://creativecommons.org/licenses/by-nc-sa/
info:eu-repo/semantics/OpenAccess
op_doi https://doi.org/10.1029/2021GB007233
container_title Global Biogeochemical Cycles
container_volume 36
container_issue 6
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