Dust impact on marine biota and atmospheric CO2 during glacial periods

[1] We assess the impact of high dust deposition rates on marine biota and atmospheric CO2 using a state-of-the-art ocean biogeochemistry model and observations. Our model includes an explicit representation of two groups of phytoplankton and colimitation by iron, silicate, and phosphate. When high...

Full description

Bibliographic Details
Main Authors: Karen E. Kohfeld, Corinne Le Quéré, Olivier Aumont
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Published: 2003
Subjects:
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.495.6979
http://lgmacweb.env.uea.ac.uk/green_ocean/publications/Bopp_et_al_Paleoceanogr_2003.pdf
id ftciteseerx:oai:CiteSeerX.psu:10.1.1.495.6979
record_format openpolar
spelling ftciteseerx:oai:CiteSeerX.psu:10.1.1.495.6979 2023-05-15T18:18:33+02:00 Dust impact on marine biota and atmospheric CO2 during glacial periods Karen E. Kohfeld Corinne Le Quéré Olivier Aumont The Pennsylvania State University CiteSeerX Archives 2003 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.495.6979 http://lgmacweb.env.uea.ac.uk/green_ocean/publications/Bopp_et_al_Paleoceanogr_2003.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.495.6979 http://lgmacweb.env.uea.ac.uk/green_ocean/publications/Bopp_et_al_Paleoceanogr_2003.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://lgmacweb.env.uea.ac.uk/green_ocean/publications/Bopp_et_al_Paleoceanogr_2003.pdf 4267 Oceanography text 2003 ftciteseerx 2016-01-08T08:45:42Z [1] We assess the impact of high dust deposition rates on marine biota and atmospheric CO2 using a state-of-the-art ocean biogeochemistry model and observations. Our model includes an explicit representation of two groups of phytoplankton and colimitation by iron, silicate, and phosphate. When high dust deposition rates from the Last Glacial Maximum (LGM) are used as input, our model shows an increase in the relative abundance of diatoms in today’s iron-limited regions, causing a global increase in export production by 6 % and an atmospheric CO2 drawdown of 15 ppm. When the combined effects of changes in dust, temperature, ice cover, and circulation are included, the model reproduces roughly our reconstruction of regional changes in export production during the LGM based on several paleoceanographic indicators. In particular, the model reproduces the latitudinal dipole in the Southern Ocean, driven in our simulations by the conjunction of dust, sea ice, and circulation changes. In the North Pacific the limited open ocean data suggest that we correctly simulate the east-west gradient in the open ocean, but more data are needed to confirm this result. From our model-data comparison and from the timing of the dust record at Vostok, we argue that our model estimate of the role of dust is realistic and that the maximum impact of high dust deposition on atmospheric CO2 must be <30 Text Sea ice Southern Ocean Unknown Pacific Southern Ocean
institution Open Polar
collection Unknown
op_collection_id ftciteseerx
language English
topic 4267 Oceanography
spellingShingle 4267 Oceanography
Karen E. Kohfeld
Corinne Le Quéré
Olivier Aumont
Dust impact on marine biota and atmospheric CO2 during glacial periods
topic_facet 4267 Oceanography
description [1] We assess the impact of high dust deposition rates on marine biota and atmospheric CO2 using a state-of-the-art ocean biogeochemistry model and observations. Our model includes an explicit representation of two groups of phytoplankton and colimitation by iron, silicate, and phosphate. When high dust deposition rates from the Last Glacial Maximum (LGM) are used as input, our model shows an increase in the relative abundance of diatoms in today’s iron-limited regions, causing a global increase in export production by 6 % and an atmospheric CO2 drawdown of 15 ppm. When the combined effects of changes in dust, temperature, ice cover, and circulation are included, the model reproduces roughly our reconstruction of regional changes in export production during the LGM based on several paleoceanographic indicators. In particular, the model reproduces the latitudinal dipole in the Southern Ocean, driven in our simulations by the conjunction of dust, sea ice, and circulation changes. In the North Pacific the limited open ocean data suggest that we correctly simulate the east-west gradient in the open ocean, but more data are needed to confirm this result. From our model-data comparison and from the timing of the dust record at Vostok, we argue that our model estimate of the role of dust is realistic and that the maximum impact of high dust deposition on atmospheric CO2 must be <30
author2 The Pennsylvania State University CiteSeerX Archives
format Text
author Karen E. Kohfeld
Corinne Le Quéré
Olivier Aumont
author_facet Karen E. Kohfeld
Corinne Le Quéré
Olivier Aumont
author_sort Karen E. Kohfeld
title Dust impact on marine biota and atmospheric CO2 during glacial periods
title_short Dust impact on marine biota and atmospheric CO2 during glacial periods
title_full Dust impact on marine biota and atmospheric CO2 during glacial periods
title_fullStr Dust impact on marine biota and atmospheric CO2 during glacial periods
title_full_unstemmed Dust impact on marine biota and atmospheric CO2 during glacial periods
title_sort dust impact on marine biota and atmospheric co2 during glacial periods
publishDate 2003
url http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.495.6979
http://lgmacweb.env.uea.ac.uk/green_ocean/publications/Bopp_et_al_Paleoceanogr_2003.pdf
geographic Pacific
Southern Ocean
geographic_facet Pacific
Southern Ocean
genre Sea ice
Southern Ocean
genre_facet Sea ice
Southern Ocean
op_source http://lgmacweb.env.uea.ac.uk/green_ocean/publications/Bopp_et_al_Paleoceanogr_2003.pdf
op_relation http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.495.6979
http://lgmacweb.env.uea.ac.uk/green_ocean/publications/Bopp_et_al_Paleoceanogr_2003.pdf
op_rights Metadata may be used without restrictions as long as the oai identifier remains attached to it.
_version_ 1766195168079249408