The impact of variable phytoplankton stoichiometry on projections of primary production, food quality, and carbon uptake in the global ocean
Ocean biogeochemical models are integral components of Earth system models used to project the evolution of the ocean carbon sink, as well as potential changes in the physical and chemical environment of marine ecosystems. In such models the stoichiometry of phytoplankton C:N:P is typically fixed at...
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ftird:oai:ird.fr:fdi:010072864 2024-09-15T17:54:08+00:00 The impact of variable phytoplankton stoichiometry on projections of primary production, food quality, and carbon uptake in the global ocean Kwiatkowski, L. /Aumont, Olivier Bopp, L. Ciais, P. 2018 https://www.documentation.ird.fr/hor/fdi:010072864 EN eng https://www.documentation.ird.fr/hor/fdi:010072864 oai:ird.fr:fdi:010072864 Kwiatkowski L., Aumont Olivier, Bopp L., Ciais P. The impact of variable phytoplankton stoichiometry on projections of primary production, food quality, and carbon uptake in the global ocean. 2018, 32 (4), 516-528 ocean biogeochemistry variable stoichiometry ocean carbon uptake primary production food quality text 2018 ftird 2024-08-15T05:57:41Z Ocean biogeochemical models are integral components of Earth system models used to project the evolution of the ocean carbon sink, as well as potential changes in the physical and chemical environment of marine ecosystems. In such models the stoichiometry of phytoplankton C:N:P is typically fixed at the Redfield ratio. The observed stoichiometry of phytoplankton, however, has been shown to considerably vary from Redfield values due to plasticity in the expression of phytoplankton cell structures with different elemental compositions. The intrinsic structure of fixed C:N:P models therefore has the potential to bias projections of the marine response to climate change. We assess the importance of variable stoichiometry on 21st century projections of net primary production, food quality, and ocean carbon uptake using the recently developed Pelagic Interactions Scheme for Carbon and Ecosystem Studies Quota (PISCES-QUOTA) ocean biogeochemistry model. The model simulates variable phytoplankton C:N:P stoichiometry and was run under historical and business-as-usual scenario forcing from 1850 to 2100. PISCES-QUOTA projects similar 21st century global net primary production decline (7.7%) to current generation fixed stoichiometry models. Global phytoplankton N and P content or food quality is projected to decline by 1.2% and 6.4% over the 21st century, respectively. The largest reductions in food quality are in the oligotrophic subtropical gyres and Arctic Ocean where declines by the end of the century can exceed 20%. Using the change in the carbon export efficiency in PISCES-QUOTA, we estimate that fixed stoichiometry models may be underestimating 21st century cumulative ocean carbon uptake by 0.5-3.5% (2.0-15.1 PgC). Text Arctic Ocean Climate change Phytoplankton IRD (Institute de recherche pour le développement): Horizon |
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IRD (Institute de recherche pour le développement): Horizon |
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language |
English |
topic |
ocean biogeochemistry variable stoichiometry ocean carbon uptake primary production food quality |
spellingShingle |
ocean biogeochemistry variable stoichiometry ocean carbon uptake primary production food quality Kwiatkowski, L. /Aumont, Olivier Bopp, L. Ciais, P. The impact of variable phytoplankton stoichiometry on projections of primary production, food quality, and carbon uptake in the global ocean |
topic_facet |
ocean biogeochemistry variable stoichiometry ocean carbon uptake primary production food quality |
description |
Ocean biogeochemical models are integral components of Earth system models used to project the evolution of the ocean carbon sink, as well as potential changes in the physical and chemical environment of marine ecosystems. In such models the stoichiometry of phytoplankton C:N:P is typically fixed at the Redfield ratio. The observed stoichiometry of phytoplankton, however, has been shown to considerably vary from Redfield values due to plasticity in the expression of phytoplankton cell structures with different elemental compositions. The intrinsic structure of fixed C:N:P models therefore has the potential to bias projections of the marine response to climate change. We assess the importance of variable stoichiometry on 21st century projections of net primary production, food quality, and ocean carbon uptake using the recently developed Pelagic Interactions Scheme for Carbon and Ecosystem Studies Quota (PISCES-QUOTA) ocean biogeochemistry model. The model simulates variable phytoplankton C:N:P stoichiometry and was run under historical and business-as-usual scenario forcing from 1850 to 2100. PISCES-QUOTA projects similar 21st century global net primary production decline (7.7%) to current generation fixed stoichiometry models. Global phytoplankton N and P content or food quality is projected to decline by 1.2% and 6.4% over the 21st century, respectively. The largest reductions in food quality are in the oligotrophic subtropical gyres and Arctic Ocean where declines by the end of the century can exceed 20%. Using the change in the carbon export efficiency in PISCES-QUOTA, we estimate that fixed stoichiometry models may be underestimating 21st century cumulative ocean carbon uptake by 0.5-3.5% (2.0-15.1 PgC). |
format |
Text |
author |
Kwiatkowski, L. /Aumont, Olivier Bopp, L. Ciais, P. |
author_facet |
Kwiatkowski, L. /Aumont, Olivier Bopp, L. Ciais, P. |
author_sort |
Kwiatkowski, L. |
title |
The impact of variable phytoplankton stoichiometry on projections of primary production, food quality, and carbon uptake in the global ocean |
title_short |
The impact of variable phytoplankton stoichiometry on projections of primary production, food quality, and carbon uptake in the global ocean |
title_full |
The impact of variable phytoplankton stoichiometry on projections of primary production, food quality, and carbon uptake in the global ocean |
title_fullStr |
The impact of variable phytoplankton stoichiometry on projections of primary production, food quality, and carbon uptake in the global ocean |
title_full_unstemmed |
The impact of variable phytoplankton stoichiometry on projections of primary production, food quality, and carbon uptake in the global ocean |
title_sort |
impact of variable phytoplankton stoichiometry on projections of primary production, food quality, and carbon uptake in the global ocean |
publishDate |
2018 |
url |
https://www.documentation.ird.fr/hor/fdi:010072864 |
genre |
Arctic Ocean Climate change Phytoplankton |
genre_facet |
Arctic Ocean Climate change Phytoplankton |
op_relation |
https://www.documentation.ird.fr/hor/fdi:010072864 oai:ird.fr:fdi:010072864 Kwiatkowski L., Aumont Olivier, Bopp L., Ciais P. The impact of variable phytoplankton stoichiometry on projections of primary production, food quality, and carbon uptake in the global ocean. 2018, 32 (4), 516-528 |
_version_ |
1810430345571467264 |