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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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 |
_version_ |
1766129880033918976 |