Modelled estimates of spatial variability of iron stress in the Atlantic sector of the Southern Ocean
The Atlantic sector of the Southern Ocean is characterized by markedly different frontal zones with specific seasonal and sub-seasonal dynamics. Demonstrated here is the effect of iron on the potential maximum productivity rates of the phytoplankton community. A series of iron addition productivity...
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ftcopernicus:oai:publications.copernicus.org:bg57753 2023-05-15T18:25:16+02:00 Modelled estimates of spatial variability of iron stress in the Atlantic sector of the Southern Ocean Ryan-Keogh, Thomas J. Thomalla, Sandy J. Mtshali, Thato N. Little, Hazel 2018-09-27 application/pdf https://doi.org/10.5194/bg-14-3883-2017 https://www.biogeosciences.net/14/3883/2017/ eng eng doi:10.5194/bg-14-3883-2017 https://www.biogeosciences.net/14/3883/2017/ eISSN: 1726-4189 Text 2018 ftcopernicus https://doi.org/10.5194/bg-14-3883-2017 2019-12-24T09:51:09Z The Atlantic sector of the Southern Ocean is characterized by markedly different frontal zones with specific seasonal and sub-seasonal dynamics. Demonstrated here is the effect of iron on the potential maximum productivity rates of the phytoplankton community. A series of iron addition productivity versus irradiance ( PE ) experiments utilizing a unique experimental design that allowed for 24 h incubations were performed within the austral summer of 2015/16 to determine the photosynthetic parameters α B , P B max and E k . Mean values for each photosynthetic parameter under iron-replete conditions were 1.46 ± 0.55 (µg (µg Chl a ) −1 h −1 (µM photons m −2 s −1 ) −1 ) for α B , 72.55 ± 27.97 (µg (µg Chl a ) −1 h −1 ) for P B max and 50.84 ± 11.89 (µM photons m −2 s −1 ) for E k , whereas mean values under the control conditions were 1.25 ± 0.92 (µg (µg Chl a ) −1 h −1 (µM photons m −2 s −1 ) −1 ) for α B , 62.44 ± 36.96 (µg (µg Chl a ) −1 h −1 ) for P B max and 55.81 ± 19.60 (µM photons m −2 s −1 ) for E k . There were no clear spatial patterns in either the absolute values or the absolute differences between the treatments at the experimental locations. When these parameters are integrated into a standard depth-integrated primary production model across a latitudinal transect, the effect of iron addition shows higher levels of primary production south of 50° S, with very little difference observed in the subantarctic and polar frontal zone. These results emphasize the need for better parameterization of photosynthetic parameters in biogeochemical models around sensitivities in their response to iron supply. Future biogeochemical models will need to consider the combined and individual effects of iron and light to better resolve the natural background in primary production and predict its response under a changing climate. Text Southern Ocean Copernicus Publications: E-Journals Austral Southern Ocean Biogeosciences 14 17 3883 3897 |
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Copernicus Publications: E-Journals |
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ftcopernicus |
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English |
description |
The Atlantic sector of the Southern Ocean is characterized by markedly different frontal zones with specific seasonal and sub-seasonal dynamics. Demonstrated here is the effect of iron on the potential maximum productivity rates of the phytoplankton community. A series of iron addition productivity versus irradiance ( PE ) experiments utilizing a unique experimental design that allowed for 24 h incubations were performed within the austral summer of 2015/16 to determine the photosynthetic parameters α B , P B max and E k . Mean values for each photosynthetic parameter under iron-replete conditions were 1.46 ± 0.55 (µg (µg Chl a ) −1 h −1 (µM photons m −2 s −1 ) −1 ) for α B , 72.55 ± 27.97 (µg (µg Chl a ) −1 h −1 ) for P B max and 50.84 ± 11.89 (µM photons m −2 s −1 ) for E k , whereas mean values under the control conditions were 1.25 ± 0.92 (µg (µg Chl a ) −1 h −1 (µM photons m −2 s −1 ) −1 ) for α B , 62.44 ± 36.96 (µg (µg Chl a ) −1 h −1 ) for P B max and 55.81 ± 19.60 (µM photons m −2 s −1 ) for E k . There were no clear spatial patterns in either the absolute values or the absolute differences between the treatments at the experimental locations. When these parameters are integrated into a standard depth-integrated primary production model across a latitudinal transect, the effect of iron addition shows higher levels of primary production south of 50° S, with very little difference observed in the subantarctic and polar frontal zone. These results emphasize the need for better parameterization of photosynthetic parameters in biogeochemical models around sensitivities in their response to iron supply. Future biogeochemical models will need to consider the combined and individual effects of iron and light to better resolve the natural background in primary production and predict its response under a changing climate. |
format |
Text |
author |
Ryan-Keogh, Thomas J. Thomalla, Sandy J. Mtshali, Thato N. Little, Hazel |
spellingShingle |
Ryan-Keogh, Thomas J. Thomalla, Sandy J. Mtshali, Thato N. Little, Hazel Modelled estimates of spatial variability of iron stress in the Atlantic sector of the Southern Ocean |
author_facet |
Ryan-Keogh, Thomas J. Thomalla, Sandy J. Mtshali, Thato N. Little, Hazel |
author_sort |
Ryan-Keogh, Thomas J. |
title |
Modelled estimates of spatial variability of iron stress in the Atlantic sector of the Southern Ocean |
title_short |
Modelled estimates of spatial variability of iron stress in the Atlantic sector of the Southern Ocean |
title_full |
Modelled estimates of spatial variability of iron stress in the Atlantic sector of the Southern Ocean |
title_fullStr |
Modelled estimates of spatial variability of iron stress in the Atlantic sector of the Southern Ocean |
title_full_unstemmed |
Modelled estimates of spatial variability of iron stress in the Atlantic sector of the Southern Ocean |
title_sort |
modelled estimates of spatial variability of iron stress in the atlantic sector of the southern ocean |
publishDate |
2018 |
url |
https://doi.org/10.5194/bg-14-3883-2017 https://www.biogeosciences.net/14/3883/2017/ |
geographic |
Austral Southern Ocean |
geographic_facet |
Austral Southern Ocean |
genre |
Southern Ocean |
genre_facet |
Southern Ocean |
op_source |
eISSN: 1726-4189 |
op_relation |
doi:10.5194/bg-14-3883-2017 https://www.biogeosciences.net/14/3883/2017/ |
op_doi |
https://doi.org/10.5194/bg-14-3883-2017 |
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Biogeosciences |
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14 |
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17 |
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3883 |
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3897 |
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1766206591180210176 |