Interannual Variation in Phytoplankton Primary Production at A Global Scale

We used the NASA Ocean Biogeochemical Model (NOBM) combined with remote sensing data via assimilation to evaluate the contribution of four phytoplankton groups to the total primary production. First, we assessed the contribution of each phytoplankton groups to the total primary production at a globa...

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Published in:Remote Sensing
Main Authors: Cecile S. Rousseaux, Watson W. Gregg
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2013
Subjects:
Q
Online Access:https://doi.org/10.3390/rs6010001
https://doaj.org/article/bc48e88dbe934a108a911d368a8bc391
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spelling ftdoajarticles:oai:doaj.org/article:bc48e88dbe934a108a911d368a8bc391 2023-05-15T17:31:59+02:00 Interannual Variation in Phytoplankton Primary Production at A Global Scale Cecile S. Rousseaux Watson W. Gregg 2013-12-01T00:00:00Z https://doi.org/10.3390/rs6010001 https://doaj.org/article/bc48e88dbe934a108a911d368a8bc391 EN eng MDPI AG http://www.mdpi.com/2072-4292/6/1/1 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs6010001 https://doaj.org/article/bc48e88dbe934a108a911d368a8bc391 Remote Sensing, Vol 6, Iss 1, Pp 1-19 (2013) primary production phytoplankton composition Chl-a remote sensing MODIS seaWiFS biogeochemical models Science Q article 2013 ftdoajarticles https://doi.org/10.3390/rs6010001 2022-12-31T16:17:24Z We used the NASA Ocean Biogeochemical Model (NOBM) combined with remote sensing data via assimilation to evaluate the contribution of four phytoplankton groups to the total primary production. First, we assessed the contribution of each phytoplankton groups to the total primary production at a global scale for the period 1998–2011. Globally, diatoms contributed the most to the total phytoplankton production (~50%, the equivalent of ~20 PgC∙y−1). Coccolithophores and chlorophytes each contributed ~20% (~7 PgC∙y−1) of the total primary production and cyanobacteria represented about 10% (~4 PgC∙y−1) of the total primary production. Primary production by diatoms was highest in the high latitudes (>40°) and in major upwelling systems (Equatorial Pacific and Benguela system). We then assessed interannual variability of this group-specific primary production over the period 1998–2011. Globally the annual relative contribution of each phytoplankton groups to the total primary production varied by maximum 4% (1–2 PgC∙y−1). We assessed the effects of climate variability on group-specific primary production using global (i.e., Multivariate El Niño Index, MEI) and “regional” climate indices (e.g., Southern Annular Mode (SAM), Pacific Decadal Oscillation (PDO) and North Atlantic Oscillation (NAO)). Most interannual variability occurred in the Equatorial Pacific and was associated with climate variability as indicated by significant correlation (p < 0.05) between the MEI and the group-specific primary production from all groups except coccolithophores. In the Atlantic, climate variability as indicated by NAO was significantly correlated to the primary production of 2 out of the 4 groups in the North Central Atlantic (diatoms/cyanobacteria) and in the North Atlantic (chlorophytes and coccolithophores). We found that climate variability as indicated by SAM had only a limited effect on group-specific primary production in the Southern Ocean. These results provide a modeling and data assimilation perspective to ... Article in Journal/Newspaper North Atlantic North Atlantic oscillation Southern Ocean Directory of Open Access Journals: DOAJ Articles Pacific Southern Ocean Remote Sensing 6 1 1 19
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic primary production
phytoplankton composition
Chl-a
remote sensing
MODIS
seaWiFS
biogeochemical models
Science
Q
spellingShingle primary production
phytoplankton composition
Chl-a
remote sensing
MODIS
seaWiFS
biogeochemical models
Science
Q
Cecile S. Rousseaux
Watson W. Gregg
Interannual Variation in Phytoplankton Primary Production at A Global Scale
topic_facet primary production
phytoplankton composition
Chl-a
remote sensing
MODIS
seaWiFS
biogeochemical models
Science
Q
description We used the NASA Ocean Biogeochemical Model (NOBM) combined with remote sensing data via assimilation to evaluate the contribution of four phytoplankton groups to the total primary production. First, we assessed the contribution of each phytoplankton groups to the total primary production at a global scale for the period 1998–2011. Globally, diatoms contributed the most to the total phytoplankton production (~50%, the equivalent of ~20 PgC∙y−1). Coccolithophores and chlorophytes each contributed ~20% (~7 PgC∙y−1) of the total primary production and cyanobacteria represented about 10% (~4 PgC∙y−1) of the total primary production. Primary production by diatoms was highest in the high latitudes (>40°) and in major upwelling systems (Equatorial Pacific and Benguela system). We then assessed interannual variability of this group-specific primary production over the period 1998–2011. Globally the annual relative contribution of each phytoplankton groups to the total primary production varied by maximum 4% (1–2 PgC∙y−1). We assessed the effects of climate variability on group-specific primary production using global (i.e., Multivariate El Niño Index, MEI) and “regional” climate indices (e.g., Southern Annular Mode (SAM), Pacific Decadal Oscillation (PDO) and North Atlantic Oscillation (NAO)). Most interannual variability occurred in the Equatorial Pacific and was associated with climate variability as indicated by significant correlation (p < 0.05) between the MEI and the group-specific primary production from all groups except coccolithophores. In the Atlantic, climate variability as indicated by NAO was significantly correlated to the primary production of 2 out of the 4 groups in the North Central Atlantic (diatoms/cyanobacteria) and in the North Atlantic (chlorophytes and coccolithophores). We found that climate variability as indicated by SAM had only a limited effect on group-specific primary production in the Southern Ocean. These results provide a modeling and data assimilation perspective to ...
format Article in Journal/Newspaper
author Cecile S. Rousseaux
Watson W. Gregg
author_facet Cecile S. Rousseaux
Watson W. Gregg
author_sort Cecile S. Rousseaux
title Interannual Variation in Phytoplankton Primary Production at A Global Scale
title_short Interannual Variation in Phytoplankton Primary Production at A Global Scale
title_full Interannual Variation in Phytoplankton Primary Production at A Global Scale
title_fullStr Interannual Variation in Phytoplankton Primary Production at A Global Scale
title_full_unstemmed Interannual Variation in Phytoplankton Primary Production at A Global Scale
title_sort interannual variation in phytoplankton primary production at a global scale
publisher MDPI AG
publishDate 2013
url https://doi.org/10.3390/rs6010001
https://doaj.org/article/bc48e88dbe934a108a911d368a8bc391
geographic Pacific
Southern Ocean
geographic_facet Pacific
Southern Ocean
genre North Atlantic
North Atlantic oscillation
Southern Ocean
genre_facet North Atlantic
North Atlantic oscillation
Southern Ocean
op_source Remote Sensing, Vol 6, Iss 1, Pp 1-19 (2013)
op_relation http://www.mdpi.com/2072-4292/6/1/1
https://doaj.org/toc/2072-4292
2072-4292
doi:10.3390/rs6010001
https://doaj.org/article/bc48e88dbe934a108a911d368a8bc391
op_doi https://doi.org/10.3390/rs6010001
container_title Remote Sensing
container_volume 6
container_issue 1
container_start_page 1
op_container_end_page 19
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