A model-based analysis of physical and biological controls on ice algal and pelagic primary production in Resolute Passage
A coupled 1-D sea ice-ocean physical-biogeochemical model was developed to investigate the processes governing ice algal and phytoplankton blooms in the seasonally ice-covered Arctic Ocean. The 1-D column is representative of one grid cell in 3-D model applications and provides a tool for parameteri...
Published in: | Elementa: Science of the Anthropocene |
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Online Access: | https://doi.org/10.1525/elementa.229 http://ecite.utas.edu.au/141007 |
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ftunivtasecite:oai:ecite.utas.edu.au:141007 2023-05-15T14:28:55+02:00 A model-based analysis of physical and biological controls on ice algal and pelagic primary production in Resolute Passage Mortenson, E Hayashida, H Steiner, N Monahan, A Blais, M Gale, MA Galindo, V Gosselin, M Hu, X Lavoie, D Mundy, CJ 2017 application/pdf https://doi.org/10.1525/elementa.229 http://ecite.utas.edu.au/141007 en eng University of California Press Journals Division http://ecite.utas.edu.au/141007/1/141007 - A model-based analysis of physical and biological controls on ice algal.pdf http://dx.doi.org/10.1525/elementa.229 Mortenson, E and Hayashida, H and Steiner, N and Monahan, A and Blais, M and Gale, MA and Galindo, V and Gosselin, M and Hu, X and Lavoie, D and Mundy, CJ, A model-based analysis of physical and biological controls on ice algal and pelagic primary production in Resolute Passage, Elementa, 5 Article 39. ISSN 2325-1026 (2017) [Refereed Article] http://ecite.utas.edu.au/141007 Earth Sciences Oceanography Biological Oceanography Refereed Article PeerReviewed 2017 ftunivtasecite https://doi.org/10.1525/elementa.229 2020-10-26T23:16:14Z A coupled 1-D sea ice-ocean physical-biogeochemical model was developed to investigate the processes governing ice algal and phytoplankton blooms in the seasonally ice-covered Arctic Ocean. The 1-D column is representative of one grid cell in 3-D model applications and provides a tool for parameterization development. The model was applied to Resolute Passage in the Canadian Arctic Archipelago and assessed with observations from a field campaign during spring of 2010. The factors considered to limit the growth of simulated ice algae and phytoplankton were light, nutrients, and in the case of ice algae, ice melt. In addition to the standard simulation, several model experiments were conducted to determine the sensitivity of the simulated ice algal bloom to parameterizations of light, mortality, and pre-bloom biomass. Model results indicated that: (1) ice algae limit subsequent pelagic productivity in the upper 10 m by depleting nutrients to limiting levels; (2) light availability and pre-bloom biomass determine the onset timing of the ice algal bloom; (3) the maximum biomass is relatively insensitive to the pre-bloom biomass, but is limited by nutrient availability; (4) a combination of linear and quadratic parameterizations of mortality rate is required to adequately simulate the evolution of the ice algal bloom; and (5) a sinking rate for large detritus greater than a threshold of ∼10 m d1 effectively strips the surface waters of the limiting nutrient (silicate) after the ice algal bloom, supporting the development of a deep chlorophyll maximum. Article in Journal/Newspaper Arctic Archipelago Arctic Arctic Ocean Canadian Arctic Archipelago ice algae Phytoplankton Sea ice eCite UTAS (University of Tasmania) Arctic Arctic Ocean Canadian Arctic Archipelago Resolute Passage ENVELOPE(-95.585,-95.585,74.702,74.702) Elementa: Science of the Anthropocene 5 |
institution |
Open Polar |
collection |
eCite UTAS (University of Tasmania) |
op_collection_id |
ftunivtasecite |
language |
English |
topic |
Earth Sciences Oceanography Biological Oceanography |
spellingShingle |
Earth Sciences Oceanography Biological Oceanography Mortenson, E Hayashida, H Steiner, N Monahan, A Blais, M Gale, MA Galindo, V Gosselin, M Hu, X Lavoie, D Mundy, CJ A model-based analysis of physical and biological controls on ice algal and pelagic primary production in Resolute Passage |
topic_facet |
Earth Sciences Oceanography Biological Oceanography |
description |
A coupled 1-D sea ice-ocean physical-biogeochemical model was developed to investigate the processes governing ice algal and phytoplankton blooms in the seasonally ice-covered Arctic Ocean. The 1-D column is representative of one grid cell in 3-D model applications and provides a tool for parameterization development. The model was applied to Resolute Passage in the Canadian Arctic Archipelago and assessed with observations from a field campaign during spring of 2010. The factors considered to limit the growth of simulated ice algae and phytoplankton were light, nutrients, and in the case of ice algae, ice melt. In addition to the standard simulation, several model experiments were conducted to determine the sensitivity of the simulated ice algal bloom to parameterizations of light, mortality, and pre-bloom biomass. Model results indicated that: (1) ice algae limit subsequent pelagic productivity in the upper 10 m by depleting nutrients to limiting levels; (2) light availability and pre-bloom biomass determine the onset timing of the ice algal bloom; (3) the maximum biomass is relatively insensitive to the pre-bloom biomass, but is limited by nutrient availability; (4) a combination of linear and quadratic parameterizations of mortality rate is required to adequately simulate the evolution of the ice algal bloom; and (5) a sinking rate for large detritus greater than a threshold of ∼10 m d1 effectively strips the surface waters of the limiting nutrient (silicate) after the ice algal bloom, supporting the development of a deep chlorophyll maximum. |
format |
Article in Journal/Newspaper |
author |
Mortenson, E Hayashida, H Steiner, N Monahan, A Blais, M Gale, MA Galindo, V Gosselin, M Hu, X Lavoie, D Mundy, CJ |
author_facet |
Mortenson, E Hayashida, H Steiner, N Monahan, A Blais, M Gale, MA Galindo, V Gosselin, M Hu, X Lavoie, D Mundy, CJ |
author_sort |
Mortenson, E |
title |
A model-based analysis of physical and biological controls on ice algal and pelagic primary production in Resolute Passage |
title_short |
A model-based analysis of physical and biological controls on ice algal and pelagic primary production in Resolute Passage |
title_full |
A model-based analysis of physical and biological controls on ice algal and pelagic primary production in Resolute Passage |
title_fullStr |
A model-based analysis of physical and biological controls on ice algal and pelagic primary production in Resolute Passage |
title_full_unstemmed |
A model-based analysis of physical and biological controls on ice algal and pelagic primary production in Resolute Passage |
title_sort |
model-based analysis of physical and biological controls on ice algal and pelagic primary production in resolute passage |
publisher |
University of California Press Journals Division |
publishDate |
2017 |
url |
https://doi.org/10.1525/elementa.229 http://ecite.utas.edu.au/141007 |
long_lat |
ENVELOPE(-95.585,-95.585,74.702,74.702) |
geographic |
Arctic Arctic Ocean Canadian Arctic Archipelago Resolute Passage |
geographic_facet |
Arctic Arctic Ocean Canadian Arctic Archipelago Resolute Passage |
genre |
Arctic Archipelago Arctic Arctic Ocean Canadian Arctic Archipelago ice algae Phytoplankton Sea ice |
genre_facet |
Arctic Archipelago Arctic Arctic Ocean Canadian Arctic Archipelago ice algae Phytoplankton Sea ice |
op_relation |
http://ecite.utas.edu.au/141007/1/141007 - A model-based analysis of physical and biological controls on ice algal.pdf http://dx.doi.org/10.1525/elementa.229 Mortenson, E and Hayashida, H and Steiner, N and Monahan, A and Blais, M and Gale, MA and Galindo, V and Gosselin, M and Hu, X and Lavoie, D and Mundy, CJ, A model-based analysis of physical and biological controls on ice algal and pelagic primary production in Resolute Passage, Elementa, 5 Article 39. ISSN 2325-1026 (2017) [Refereed Article] http://ecite.utas.edu.au/141007 |
op_doi |
https://doi.org/10.1525/elementa.229 |
container_title |
Elementa: Science of the Anthropocene |
container_volume |
5 |
_version_ |
1766303047716175872 |