Seasonality and scale of the Kerguelen plateau phytoplankton bloom: a remote sensing and modeling analysis of the influence of natural iron fertilization in the Southern Ocean

Mongin, M; Molina Balari, E; Trull, TW

Seasonality and scale of the Kerguelen plateau phytoplankton bloom: a remote sensing and modeling analysis of the influence of natural iron fertilization in the Southern Ocean

Mongin, M Molina Balari, E Trull, TW

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Publisher:: Elsevier B.V.
Publication Type:: Journal Article
Citation:: Deep Sea Research Part II: Topical Studies in Oceanography, 2008, 55 (5-7), pp. 880 - 892
Issue Date:: 2008-01

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Field	Value	Language
dc.contributor.author	Mongin, M	en_US
dc.contributor.author	Molina Balari, E	en_US
dc.contributor.author	Trull, TW	en_US
dc.date.issued	2008-01	en_US
dc.identifier.citation	Deep Sea Research Part II: Topical Studies in Oceanography, 2008, 55 (5-7), pp. 880 - 892	en_US
dc.identifier.issn	0967-0645	en_US
dc.identifier.uri	http://hdl.handle.net/10453/13154
dc.description.abstract	The phytoplankton bloom that develops over the Kerguelen plateau following natural input of iron is analysed on a regional and seasonal scale. The relation between chlorophyll, bathymetry, and surface advection fields is not as obvious as it first appears from largescale annual mean field. The high chlorophyll biomass does not always correspond with the shallowest water, and there are portions of the plateau, which persistently exhibit low chlorophyll. Despite this complex dynamic, a one-dimensional model calibrated for HNLC (high-nutrient low-chlorophyll) region is able to capture the observed increase in chlorophyll by increasing the deep iron concentration. The elemental budget shows similarity in terms of carbon, nitrogen, and silicon but differences in terms of iron with the budget calculated during the mission. This discrepancy either has its origin in the structure of the iron cycling in the model or in the temporal scarcity of data that could only be collected during the summer months. In the model, flexibility of the Fe/C ratio associated with high Fe export and input fluxes prevents high carbon sequestration efficiency. This first insight with remote sensing data and the model allows the validation of some of the key mechanisms of natural iron fertilization and exposes problems that will need to be solved to have a complete biogeochemical diagnostic of this natural iron fertilization.	en_US
dc.publisher	Elsevier B.V.	en_US
dc.relation.ispartof	Deep Sea Research Part II: Topical Studies in Oceanography	en_US
dc.relation.isbasedon	10.1016/j.dsr2.2007.12.039	en_US
dc.subject.classification	Oceanography	en_US
dc.title	Seasonality and scale of the Kerguelen plateau phytoplankton bloom: a remote sensing and modeling analysis of the influence of natural iron fertilization in the Southern Ocean	en_US
dc.type	Journal Article
utslib.citation.volume	5-7	en_US
utslib.citation.volume	55	en_US
utslib.for	0607 Plant Biology	en_US
utslib.for	0602 Ecology	en_US
utslib.for	0402 Geochemistry	en_US
utslib.for	0405 Oceanography	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
utslib.copyright.status	closed_access
pubs.consider-herdc	false	en_US
pubs.issue	5-7	en_US
pubs.volume	55	en_US

Abstract:

The phytoplankton bloom that develops over the Kerguelen plateau following natural input of iron is analysed on a regional and seasonal scale. The relation between chlorophyll, bathymetry, and surface advection fields is not as obvious as it first appears from largescale annual mean field. The high chlorophyll biomass does not always correspond with the shallowest water, and there are portions of the plateau, which persistently exhibit low chlorophyll. Despite this complex dynamic, a one-dimensional model calibrated for HNLC (high-nutrient low-chlorophyll) region is able to capture the observed increase in chlorophyll by increasing the deep iron concentration. The elemental budget shows similarity in terms of carbon, nitrogen, and silicon but differences in terms of iron with the budget calculated during the mission. This discrepancy either has its origin in the structure of the iron cycling in the model or in the temporal scarcity of data that could only be collected during the summer months. In the model, flexibility of the Fe/C ratio associated with high Fe export and input fluxes prevents high carbon sequestration efficiency. This first insight with remote sensing data and the model allows the validation of some of the key mechanisms of natural iron fertilization and exposes problems that will need to be solved to have a complete biogeochemical diagnostic of this natural iron fertilization.

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http://hdl.handle.net/10453/13154