Modeling Iron and Light Controls on the Summer Phaeocystis antarctica Bloom in the Amundsen Sea Polynya
Of all the Antarctic coastal polynyas, the Amundsen Sea Polynya is the most productive per unit area. Observations from the 2010–2011 Amundsen Sea Polynya International Research Expedition (ASPIRE) revealed that both light and iron can limit the growth of phytoplankton (Phaeocystis antarctica), but...
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ftwilliammarycol:oai:scholarworks.wm.edu:vimsarticles-2706 2023-06-11T04:03:33+02:00 Modeling Iron and Light Controls on the Summer Phaeocystis antarctica Bloom in the Amundsen Sea Polynya Oliver, H St-Laurent, Pierre Sherrell, RM Yager, PL 2019-04-23T07:00:00Z application/pdf https://scholarworks.wm.edu/vimsarticles/1707 doi: 10.1029/2018GB006168 https://scholarworks.wm.edu/context/vimsarticles/article/2706/viewcontent/JGR_StLaurent2019.pdf https://scholarworks.wm.edu/context/vimsarticles/article/2706/filename/0/type/additional/viewcontent/JGR_StLaurent2019_supp1.pdf unknown W&M ScholarWorks https://scholarworks.wm.edu/vimsarticles/1707 doi: 10.1029/2018GB006168 https://scholarworks.wm.edu/context/vimsarticles/article/2706/viewcontent/JGR_StLaurent2019.pdf https://scholarworks.wm.edu/context/vimsarticles/article/2706/filename/0/type/additional/viewcontent/JGR_StLaurent2019_supp1.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ VIMS Articles Biological Sciences Peer-Reviewed Articles Oceanography text 2019 ftwilliammarycol https://doi.org/10.1029/2018GB006168 2023-05-04T17:45:23Z Of all the Antarctic coastal polynyas, the Amundsen Sea Polynya is the most productive per unit area. Observations from the 2010–2011 Amundsen Sea Polynya International Research Expedition (ASPIRE) revealed that both light and iron can limit the growth of phytoplankton (Phaeocystis antarctica), but how these controls manifest over the bloom season is poorly understood, especially with respect to their climate sensitivity. Using a 1‐D biogeochemical model, we examine the influence of light and iron limitation on the phytoplankton bloom and vertical carbon flux at 12 stations representing different bloom stages within the polynya. Model parameters are determined by Bayesian optimization and assimilation of ASPIRE observations. The model‐data fit is most sensitive to phytoplankton physiological parameters, which among all model parameters are best constrained by the optimization. We find that the 1‐D model captures the basic elements of the bloom observed during ASPIRE, despite some discrepancies between modeled and observed dissolved iron distributions. With this model, we explore the way iron availability, in combination with light availability, controlled the rise, peak, and decline of the bloom at the 12 stations. Modeled light limitation by self‐shading is very strong, but iron is drawn down as the bloom rises, becoming limiting in combination with light as the bloom declines. These model results mechanistically confirm the importance of climate‐sensitive controls like stratification and meltwater on phytoplankton bloom development and carbon export in this region. Text Amundsen Sea Antarc* Antarctic Antarctica W&M ScholarWorks Antarctic The Antarctic Amundsen Sea Global Biogeochemical Cycles 33 5 570 596 |
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W&M ScholarWorks |
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unknown |
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Biological Sciences Peer-Reviewed Articles Oceanography |
spellingShingle |
Biological Sciences Peer-Reviewed Articles Oceanography Oliver, H St-Laurent, Pierre Sherrell, RM Yager, PL Modeling Iron and Light Controls on the Summer Phaeocystis antarctica Bloom in the Amundsen Sea Polynya |
topic_facet |
Biological Sciences Peer-Reviewed Articles Oceanography |
description |
Of all the Antarctic coastal polynyas, the Amundsen Sea Polynya is the most productive per unit area. Observations from the 2010–2011 Amundsen Sea Polynya International Research Expedition (ASPIRE) revealed that both light and iron can limit the growth of phytoplankton (Phaeocystis antarctica), but how these controls manifest over the bloom season is poorly understood, especially with respect to their climate sensitivity. Using a 1‐D biogeochemical model, we examine the influence of light and iron limitation on the phytoplankton bloom and vertical carbon flux at 12 stations representing different bloom stages within the polynya. Model parameters are determined by Bayesian optimization and assimilation of ASPIRE observations. The model‐data fit is most sensitive to phytoplankton physiological parameters, which among all model parameters are best constrained by the optimization. We find that the 1‐D model captures the basic elements of the bloom observed during ASPIRE, despite some discrepancies between modeled and observed dissolved iron distributions. With this model, we explore the way iron availability, in combination with light availability, controlled the rise, peak, and decline of the bloom at the 12 stations. Modeled light limitation by self‐shading is very strong, but iron is drawn down as the bloom rises, becoming limiting in combination with light as the bloom declines. These model results mechanistically confirm the importance of climate‐sensitive controls like stratification and meltwater on phytoplankton bloom development and carbon export in this region. |
format |
Text |
author |
Oliver, H St-Laurent, Pierre Sherrell, RM Yager, PL |
author_facet |
Oliver, H St-Laurent, Pierre Sherrell, RM Yager, PL |
author_sort |
Oliver, H |
title |
Modeling Iron and Light Controls on the Summer Phaeocystis antarctica Bloom in the Amundsen Sea Polynya |
title_short |
Modeling Iron and Light Controls on the Summer Phaeocystis antarctica Bloom in the Amundsen Sea Polynya |
title_full |
Modeling Iron and Light Controls on the Summer Phaeocystis antarctica Bloom in the Amundsen Sea Polynya |
title_fullStr |
Modeling Iron and Light Controls on the Summer Phaeocystis antarctica Bloom in the Amundsen Sea Polynya |
title_full_unstemmed |
Modeling Iron and Light Controls on the Summer Phaeocystis antarctica Bloom in the Amundsen Sea Polynya |
title_sort |
modeling iron and light controls on the summer phaeocystis antarctica bloom in the amundsen sea polynya |
publisher |
W&M ScholarWorks |
publishDate |
2019 |
url |
https://scholarworks.wm.edu/vimsarticles/1707 https://scholarworks.wm.edu/context/vimsarticles/article/2706/viewcontent/JGR_StLaurent2019.pdf https://scholarworks.wm.edu/context/vimsarticles/article/2706/filename/0/type/additional/viewcontent/JGR_StLaurent2019_supp1.pdf |
geographic |
Antarctic The Antarctic Amundsen Sea |
geographic_facet |
Antarctic The Antarctic Amundsen Sea |
genre |
Amundsen Sea Antarc* Antarctic Antarctica |
genre_facet |
Amundsen Sea Antarc* Antarctic Antarctica |
op_source |
VIMS Articles |
op_relation |
https://scholarworks.wm.edu/vimsarticles/1707 doi: 10.1029/2018GB006168 https://scholarworks.wm.edu/context/vimsarticles/article/2706/viewcontent/JGR_StLaurent2019.pdf https://scholarworks.wm.edu/context/vimsarticles/article/2706/filename/0/type/additional/viewcontent/JGR_StLaurent2019_supp1.pdf |
op_rights |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
op_doi |
https://doi.org/10.1029/2018GB006168 |
container_title |
Global Biogeochemical Cycles |
container_volume |
33 |
container_issue |
5 |
container_start_page |
570 |
op_container_end_page |
596 |
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1768380309019033600 |