Parameterization of vertical chlorophyll a in the Arctic Ocean: impact of the subsurface chlorophyll maximum on regional, seasonal, and annual primary production estimates
Predicting water-column phytoplankton biomass from near-surface measurements is a common approach in biological oceanography, particularly since the advent of satellite remote sensing of ocean color (OC). In the Arctic Ocean, deep subsurface chlorophyll maxima (SCMs) that significantly contribute to...
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Copernicus Publications
2013
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00022490 2023-05-15T14:37:36+02:00 Parameterization of vertical chlorophyll a in the Arctic Ocean: impact of the subsurface chlorophyll maximum on regional, seasonal, and annual primary production estimates Ardyna, M. Babin, M. Gosselin, M. Devred, E. Bélanger, S. Matsuoka, A. Tremblay, J.-É. 2013-06 electronic https://doi.org/10.5194/bg-10-4383-2013 https://noa.gwlb.de/receive/cop_mods_00022490 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00022445/bg-10-4383-2013.pdf https://bg.copernicus.org/articles/10/4383/2013/bg-10-4383-2013.pdf eng eng Copernicus Publications Biogeosciences -- http://www.bibliothek.uni-regensburg.de/ezeit/?2158181 -- http://www.copernicus.org/EGU/bg/bg.html -- 1726-4189 https://doi.org/10.5194/bg-10-4383-2013 https://noa.gwlb.de/receive/cop_mods_00022490 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00022445/bg-10-4383-2013.pdf https://bg.copernicus.org/articles/10/4383/2013/bg-10-4383-2013.pdf uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2013 ftnonlinearchiv https://doi.org/10.5194/bg-10-4383-2013 2022-02-08T22:51:07Z Predicting water-column phytoplankton biomass from near-surface measurements is a common approach in biological oceanography, particularly since the advent of satellite remote sensing of ocean color (OC). In the Arctic Ocean, deep subsurface chlorophyll maxima (SCMs) that significantly contribute to primary production (PP) are often observed. These are neither detected by ocean color sensors nor accounted for in the primary production models applied to the Arctic Ocean. Here, we assemble a large database of pan-Arctic observations (i.e., 5206 stations) and develop an empirical model to estimate vertical chlorophyll a (Chl a) according to (1) the shelf–offshore gradient delimited by the 50 m isobath, (2) seasonal variability along pre-bloom, post-bloom, and winter periods, and (3) regional differences across ten sub-Arctic and Arctic seas. Our detailed analysis of the dataset shows that, for the pre-bloom and winter periods, as well as for high surface Chl a concentration (Chl asurf; 0.7–30 mg m−3) throughout the open water period, the Chl a maximum is mainly located at or near the surface. Deep SCMs occur chiefly during the post-bloom period when Chl asurf is low (0–0.5 mg m−3). By applying our empirical model to annual Chl asurf time series, instead of the conventional method assuming vertically homogenous Chl a, we produce novel pan-Arctic PP estimates and associated uncertainties. Our results show that vertical variations in Chl a have a limited impact on annual depth-integrated PP. Small overestimates found when SCMs are shallow (i.e., pre-bloom, post-bloom > 0.7 mg m−3, and the winter period) somehow compensate for the underestimates found when SCMs are deep (i.e., post-bloom < 0.5 mg m−3). SCMs are, however, important seasonal features with a substantial impact on depth-integrated PP estimates, especially when surface nitrate is exhausted in the Arctic Ocean and where highly stratified and oligotrophic conditions prevail. Article in Journal/Newspaper Arctic Arctic Ocean Phytoplankton Niedersächsisches Online-Archiv NOA Arctic Arctic Ocean Biogeosciences 10 6 4383 4404 |
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Niedersächsisches Online-Archiv NOA |
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English |
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article Verlagsveröffentlichung |
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article Verlagsveröffentlichung Ardyna, M. Babin, M. Gosselin, M. Devred, E. Bélanger, S. Matsuoka, A. Tremblay, J.-É. Parameterization of vertical chlorophyll a in the Arctic Ocean: impact of the subsurface chlorophyll maximum on regional, seasonal, and annual primary production estimates |
topic_facet |
article Verlagsveröffentlichung |
description |
Predicting water-column phytoplankton biomass from near-surface measurements is a common approach in biological oceanography, particularly since the advent of satellite remote sensing of ocean color (OC). In the Arctic Ocean, deep subsurface chlorophyll maxima (SCMs) that significantly contribute to primary production (PP) are often observed. These are neither detected by ocean color sensors nor accounted for in the primary production models applied to the Arctic Ocean. Here, we assemble a large database of pan-Arctic observations (i.e., 5206 stations) and develop an empirical model to estimate vertical chlorophyll a (Chl a) according to (1) the shelf–offshore gradient delimited by the 50 m isobath, (2) seasonal variability along pre-bloom, post-bloom, and winter periods, and (3) regional differences across ten sub-Arctic and Arctic seas. Our detailed analysis of the dataset shows that, for the pre-bloom and winter periods, as well as for high surface Chl a concentration (Chl asurf; 0.7–30 mg m−3) throughout the open water period, the Chl a maximum is mainly located at or near the surface. Deep SCMs occur chiefly during the post-bloom period when Chl asurf is low (0–0.5 mg m−3). By applying our empirical model to annual Chl asurf time series, instead of the conventional method assuming vertically homogenous Chl a, we produce novel pan-Arctic PP estimates and associated uncertainties. Our results show that vertical variations in Chl a have a limited impact on annual depth-integrated PP. Small overestimates found when SCMs are shallow (i.e., pre-bloom, post-bloom > 0.7 mg m−3, and the winter period) somehow compensate for the underestimates found when SCMs are deep (i.e., post-bloom < 0.5 mg m−3). SCMs are, however, important seasonal features with a substantial impact on depth-integrated PP estimates, especially when surface nitrate is exhausted in the Arctic Ocean and where highly stratified and oligotrophic conditions prevail. |
format |
Article in Journal/Newspaper |
author |
Ardyna, M. Babin, M. Gosselin, M. Devred, E. Bélanger, S. Matsuoka, A. Tremblay, J.-É. |
author_facet |
Ardyna, M. Babin, M. Gosselin, M. Devred, E. Bélanger, S. Matsuoka, A. Tremblay, J.-É. |
author_sort |
Ardyna, M. |
title |
Parameterization of vertical chlorophyll a in the Arctic Ocean: impact of the subsurface chlorophyll maximum on regional, seasonal, and annual primary production estimates |
title_short |
Parameterization of vertical chlorophyll a in the Arctic Ocean: impact of the subsurface chlorophyll maximum on regional, seasonal, and annual primary production estimates |
title_full |
Parameterization of vertical chlorophyll a in the Arctic Ocean: impact of the subsurface chlorophyll maximum on regional, seasonal, and annual primary production estimates |
title_fullStr |
Parameterization of vertical chlorophyll a in the Arctic Ocean: impact of the subsurface chlorophyll maximum on regional, seasonal, and annual primary production estimates |
title_full_unstemmed |
Parameterization of vertical chlorophyll a in the Arctic Ocean: impact of the subsurface chlorophyll maximum on regional, seasonal, and annual primary production estimates |
title_sort |
parameterization of vertical chlorophyll a in the arctic ocean: impact of the subsurface chlorophyll maximum on regional, seasonal, and annual primary production estimates |
publisher |
Copernicus Publications |
publishDate |
2013 |
url |
https://doi.org/10.5194/bg-10-4383-2013 https://noa.gwlb.de/receive/cop_mods_00022490 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00022445/bg-10-4383-2013.pdf https://bg.copernicus.org/articles/10/4383/2013/bg-10-4383-2013.pdf |
geographic |
Arctic Arctic Ocean |
geographic_facet |
Arctic Arctic Ocean |
genre |
Arctic Arctic Ocean Phytoplankton |
genre_facet |
Arctic Arctic Ocean Phytoplankton |
op_relation |
Biogeosciences -- http://www.bibliothek.uni-regensburg.de/ezeit/?2158181 -- http://www.copernicus.org/EGU/bg/bg.html -- 1726-4189 https://doi.org/10.5194/bg-10-4383-2013 https://noa.gwlb.de/receive/cop_mods_00022490 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00022445/bg-10-4383-2013.pdf https://bg.copernicus.org/articles/10/4383/2013/bg-10-4383-2013.pdf |
op_rights |
uneingeschränkt info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/bg-10-4383-2013 |
container_title |
Biogeosciences |
container_volume |
10 |
container_issue |
6 |
container_start_page |
4383 |
op_container_end_page |
4404 |
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1766309832561786880 |