Seawater carbonate chemistry and particulate inorganic carbon, particulate organic carbon production, and growth rates of Scyphosphaera apsteinii
Coccolithophores are unicellular marine phytoplankton and important contributors to global carbon cycling. Most work on coccolithophore sensitivity to climate change has been on the small, abundant bloom-forming species Emiliania huxleyi and Gephyrocapsa oceanica. However, large coccolithophore spec...
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PANGAEA - Data Publisher for Earth & Environmental Science
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Online Access: | https://dx.doi.org/10.1594/pangaea.919773 https://doi.pangaea.de/10.1594/PANGAEA.919773 |
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ftdatacite:10.1594/pangaea.919773 2023-05-15T17:51:22+02:00 Seawater carbonate chemistry and particulate inorganic carbon, particulate organic carbon production, and growth rates of Scyphosphaera apsteinii Gafar, Natasha A Eyre, Bradley D Schulz, Kai Georg 2019 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.919773 https://doi.pangaea.de/10.1594/PANGAEA.919773 en eng PANGAEA - Data Publisher for Earth & Environmental Science https://CRAN.R-project.org/package=seacarb https://dx.doi.org/10.1038/s41598-019-38661-0 https://CRAN.R-project.org/package=seacarb Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY Bottles or small containers/Aquaria <20 L Calcification/Dissolution Chromista Growth/Morphology Haptophyta Laboratory experiment Laboratory strains Light Not applicable Phytoplankton Primary production/Photosynthesis Scyphosphaera apsteinii Single species Type Species Registration number of species Uniform resource locator/link to reference Salinity Temperature, water Growth rate Production of particulate organic carbon per cell Carbon, inorganic, particulate, per cell Carbon, organic, particulate, per cell Particulate inorganic carbon/particulate organic carbon ratio Fugacity of carbon dioxide water at sea surface temperature wet air Carbon dioxide Bicarbonate ion Carbonate ion pH Hydrogen ion concentration Alkalinity, total Carbon, inorganic, dissolved Irradiance Partial pressure of carbon dioxide water at sea surface temperature wet air Number Number, standard deviation Length Length, standard deviation Width Width, standard deviation Ratio Ratio, standard deviation Cell biovolume Cell biovolume, standard deviation Carbonate system computation flag Aragonite saturation state Calcite saturation state Calculated using CO2SYS Calculated using seacarb after Nisumaa et al. 2010 Ocean Acidification International Coordination Centre OA-ICC Dataset dataset 2019 ftdatacite https://doi.org/10.1594/pangaea.919773 https://doi.org/10.1038/s41598-019-38661-0 2022-02-09T12:04:35Z Coccolithophores are unicellular marine phytoplankton and important contributors to global carbon cycling. Most work on coccolithophore sensitivity to climate change has been on the small, abundant bloom-forming species Emiliania huxleyi and Gephyrocapsa oceanica. However, large coccolithophore species can be major contributors to coccolithophore community production even in low abundances. Here we fit an analytical equation, accounting for simultaneous changes in CO2 and light intensity, to rates of photosynthesis, calcification and growth in Scyphosphaera apsteinii. Comparison of responses to G. oceanica and E. huxleyi revealed S. apsteinii is a low-light adapted species and, in contrast, becomes more sensitive to changing environmental conditions when exposed to unfavourable CO2 or light. Additionally, all three species decreased their light requirement for optimal growth as CO2 levels increased. Our analysis suggests that this is driven by a drop in maximum rates and, in G. oceanica, increased substrate uptake efficiency. Increasing light intensity resulted in a higher proportion of muroliths (plate-shaped) to lopadoliths (vase shaped) and liths became richer in calcium carbonate as calcification rates increased. Light and CO2 driven changes in response sensitivity and maximum rates are likely to considerably alter coccolithophore community structure and productivity under future climate conditions. : In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2019) was used to compute a complete and consistent set of carbonate system variables, as described by Nisumaa et al. (2010). In this dataset the original values were archived in addition with the recalculated parameters (see related PI). The date of carbonate chemistry calculation by seacarb is 2020-06-12. Dataset Ocean acidification DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Bottles or small containers/Aquaria <20 L Calcification/Dissolution Chromista Growth/Morphology Haptophyta Laboratory experiment Laboratory strains Light Not applicable Phytoplankton Primary production/Photosynthesis Scyphosphaera apsteinii Single species Type Species Registration number of species Uniform resource locator/link to reference Salinity Temperature, water Growth rate Production of particulate organic carbon per cell Carbon, inorganic, particulate, per cell Carbon, organic, particulate, per cell Particulate inorganic carbon/particulate organic carbon ratio Fugacity of carbon dioxide water at sea surface temperature wet air Carbon dioxide Bicarbonate ion Carbonate ion pH Hydrogen ion concentration Alkalinity, total Carbon, inorganic, dissolved Irradiance Partial pressure of carbon dioxide water at sea surface temperature wet air Number Number, standard deviation Length Length, standard deviation Width Width, standard deviation Ratio Ratio, standard deviation Cell biovolume Cell biovolume, standard deviation Carbonate system computation flag Aragonite saturation state Calcite saturation state Calculated using CO2SYS Calculated using seacarb after Nisumaa et al. 2010 Ocean Acidification International Coordination Centre OA-ICC |
spellingShingle |
Bottles or small containers/Aquaria <20 L Calcification/Dissolution Chromista Growth/Morphology Haptophyta Laboratory experiment Laboratory strains Light Not applicable Phytoplankton Primary production/Photosynthesis Scyphosphaera apsteinii Single species Type Species Registration number of species Uniform resource locator/link to reference Salinity Temperature, water Growth rate Production of particulate organic carbon per cell Carbon, inorganic, particulate, per cell Carbon, organic, particulate, per cell Particulate inorganic carbon/particulate organic carbon ratio Fugacity of carbon dioxide water at sea surface temperature wet air Carbon dioxide Bicarbonate ion Carbonate ion pH Hydrogen ion concentration Alkalinity, total Carbon, inorganic, dissolved Irradiance Partial pressure of carbon dioxide water at sea surface temperature wet air Number Number, standard deviation Length Length, standard deviation Width Width, standard deviation Ratio Ratio, standard deviation Cell biovolume Cell biovolume, standard deviation Carbonate system computation flag Aragonite saturation state Calcite saturation state Calculated using CO2SYS Calculated using seacarb after Nisumaa et al. 2010 Ocean Acidification International Coordination Centre OA-ICC Gafar, Natasha A Eyre, Bradley D Schulz, Kai Georg Seawater carbonate chemistry and particulate inorganic carbon, particulate organic carbon production, and growth rates of Scyphosphaera apsteinii |
topic_facet |
Bottles or small containers/Aquaria <20 L Calcification/Dissolution Chromista Growth/Morphology Haptophyta Laboratory experiment Laboratory strains Light Not applicable Phytoplankton Primary production/Photosynthesis Scyphosphaera apsteinii Single species Type Species Registration number of species Uniform resource locator/link to reference Salinity Temperature, water Growth rate Production of particulate organic carbon per cell Carbon, inorganic, particulate, per cell Carbon, organic, particulate, per cell Particulate inorganic carbon/particulate organic carbon ratio Fugacity of carbon dioxide water at sea surface temperature wet air Carbon dioxide Bicarbonate ion Carbonate ion pH Hydrogen ion concentration Alkalinity, total Carbon, inorganic, dissolved Irradiance Partial pressure of carbon dioxide water at sea surface temperature wet air Number Number, standard deviation Length Length, standard deviation Width Width, standard deviation Ratio Ratio, standard deviation Cell biovolume Cell biovolume, standard deviation Carbonate system computation flag Aragonite saturation state Calcite saturation state Calculated using CO2SYS Calculated using seacarb after Nisumaa et al. 2010 Ocean Acidification International Coordination Centre OA-ICC |
description |
Coccolithophores are unicellular marine phytoplankton and important contributors to global carbon cycling. Most work on coccolithophore sensitivity to climate change has been on the small, abundant bloom-forming species Emiliania huxleyi and Gephyrocapsa oceanica. However, large coccolithophore species can be major contributors to coccolithophore community production even in low abundances. Here we fit an analytical equation, accounting for simultaneous changes in CO2 and light intensity, to rates of photosynthesis, calcification and growth in Scyphosphaera apsteinii. Comparison of responses to G. oceanica and E. huxleyi revealed S. apsteinii is a low-light adapted species and, in contrast, becomes more sensitive to changing environmental conditions when exposed to unfavourable CO2 or light. Additionally, all three species decreased their light requirement for optimal growth as CO2 levels increased. Our analysis suggests that this is driven by a drop in maximum rates and, in G. oceanica, increased substrate uptake efficiency. Increasing light intensity resulted in a higher proportion of muroliths (plate-shaped) to lopadoliths (vase shaped) and liths became richer in calcium carbonate as calcification rates increased. Light and CO2 driven changes in response sensitivity and maximum rates are likely to considerably alter coccolithophore community structure and productivity under future climate conditions. : In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2019) was used to compute a complete and consistent set of carbonate system variables, as described by Nisumaa et al. (2010). In this dataset the original values were archived in addition with the recalculated parameters (see related PI). The date of carbonate chemistry calculation by seacarb is 2020-06-12. |
format |
Dataset |
author |
Gafar, Natasha A Eyre, Bradley D Schulz, Kai Georg |
author_facet |
Gafar, Natasha A Eyre, Bradley D Schulz, Kai Georg |
author_sort |
Gafar, Natasha A |
title |
Seawater carbonate chemistry and particulate inorganic carbon, particulate organic carbon production, and growth rates of Scyphosphaera apsteinii |
title_short |
Seawater carbonate chemistry and particulate inorganic carbon, particulate organic carbon production, and growth rates of Scyphosphaera apsteinii |
title_full |
Seawater carbonate chemistry and particulate inorganic carbon, particulate organic carbon production, and growth rates of Scyphosphaera apsteinii |
title_fullStr |
Seawater carbonate chemistry and particulate inorganic carbon, particulate organic carbon production, and growth rates of Scyphosphaera apsteinii |
title_full_unstemmed |
Seawater carbonate chemistry and particulate inorganic carbon, particulate organic carbon production, and growth rates of Scyphosphaera apsteinii |
title_sort |
seawater carbonate chemistry and particulate inorganic carbon, particulate organic carbon production, and growth rates of scyphosphaera apsteinii |
publisher |
PANGAEA - Data Publisher for Earth & Environmental Science |
publishDate |
2019 |
url |
https://dx.doi.org/10.1594/pangaea.919773 https://doi.pangaea.de/10.1594/PANGAEA.919773 |
genre |
Ocean acidification |
genre_facet |
Ocean acidification |
op_relation |
https://CRAN.R-project.org/package=seacarb https://dx.doi.org/10.1038/s41598-019-38661-0 https://CRAN.R-project.org/package=seacarb |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1594/pangaea.919773 https://doi.org/10.1038/s41598-019-38661-0 |
_version_ |
1766158478007599104 |