Seawater carbonate chemistry and growth, production rates, and elemental quotas of Thalassiosira hyalina
The potential for adaptation of phytoplankton to future climate is often extrapolated based on single strain responses of a representative species, ignoring variability within and between species. The aim of this study was to approximate the range of strain-specific reaction patterns within an Arcti...
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Format: | Dataset |
Language: | English |
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PANGAEA - Data Publisher for Earth & Environmental Science
2018
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Online Access: | https://dx.doi.org/10.1594/pangaea.923884 https://doi.pangaea.de/10.1594/PANGAEA.923884 |
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ftdatacite:10.1594/pangaea.923884 |
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record_format |
openpolar |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Arctic Biomass/Abundance/Elemental composition Bottles or small containers/Aquaria <20 L Chromista Coast and continental shelf Community composition and diversity Entire community Growth/Morphology Laboratory experiment Light Ochrophyta Pelagos Phytoplankton Polar Primary production/Photosynthesis Single species Temperature Thalassiosira hyalina Type Species Registration number of species Uniform resource locator/link to reference Strain Temperature, water Partial pressure of carbon dioxide water at sea surface temperature wet air Growth rate Growth rate, standard deviation Carbon, organic, particulate, per cell Carbon, organic, particulate, standard deviation Chlorophyll a per cell Chlorophyll a, standard deviation Biogenic silica, per cell Biogenic silica, standard deviation Carbon/Nitrogen ratio Carbon/Nitrogen ratio, standard deviation Partial pressure of carbon dioxide, standard deviation pH pH, standard deviation Alkalinity, total Alkalinity, total, standard deviation Carbon, inorganic, dissolved Carbon, inorganic, dissolved, standard deviation Salinity Treatment Diatoms Diatoms, standard deviation Percentage Percentage, standard deviation Carbonate system computation flag Carbon dioxide Carbon dioxide, standard deviation Fugacity of carbon dioxide water at sea surface temperature wet air Fugacity of carbon dioxide in seawater, standard deviation Bicarbonate ion Bicarbonate ion, standard deviation Carbonate ion Carbonate ion, standard deviation Aragonite saturation state Aragonite saturation state, standard deviation Calcite saturation state Calcite saturation state, standard deviation Experiment Calculated using CO2SYS Potentiometric Potentiometric titration Colorimetric Calculated using seacarb after Nisumaa et al. 2010 Calculated using seacarb after Orr et al. 2018 Ocean Acidification International Coordination Centre OA-ICC |
spellingShingle |
Arctic Biomass/Abundance/Elemental composition Bottles or small containers/Aquaria <20 L Chromista Coast and continental shelf Community composition and diversity Entire community Growth/Morphology Laboratory experiment Light Ochrophyta Pelagos Phytoplankton Polar Primary production/Photosynthesis Single species Temperature Thalassiosira hyalina Type Species Registration number of species Uniform resource locator/link to reference Strain Temperature, water Partial pressure of carbon dioxide water at sea surface temperature wet air Growth rate Growth rate, standard deviation Carbon, organic, particulate, per cell Carbon, organic, particulate, standard deviation Chlorophyll a per cell Chlorophyll a, standard deviation Biogenic silica, per cell Biogenic silica, standard deviation Carbon/Nitrogen ratio Carbon/Nitrogen ratio, standard deviation Partial pressure of carbon dioxide, standard deviation pH pH, standard deviation Alkalinity, total Alkalinity, total, standard deviation Carbon, inorganic, dissolved Carbon, inorganic, dissolved, standard deviation Salinity Treatment Diatoms Diatoms, standard deviation Percentage Percentage, standard deviation Carbonate system computation flag Carbon dioxide Carbon dioxide, standard deviation Fugacity of carbon dioxide water at sea surface temperature wet air Fugacity of carbon dioxide in seawater, standard deviation Bicarbonate ion Bicarbonate ion, standard deviation Carbonate ion Carbonate ion, standard deviation Aragonite saturation state Aragonite saturation state, standard deviation Calcite saturation state Calcite saturation state, standard deviation Experiment Calculated using CO2SYS Potentiometric Potentiometric titration Colorimetric Calculated using seacarb after Nisumaa et al. 2010 Calculated using seacarb after Orr et al. 2018 Ocean Acidification International Coordination Centre OA-ICC Wolf, Klara K E Hoppe, Clara Jule Marie Rost, Björn Seawater carbonate chemistry and growth, production rates, and elemental quotas of Thalassiosira hyalina |
topic_facet |
Arctic Biomass/Abundance/Elemental composition Bottles or small containers/Aquaria <20 L Chromista Coast and continental shelf Community composition and diversity Entire community Growth/Morphology Laboratory experiment Light Ochrophyta Pelagos Phytoplankton Polar Primary production/Photosynthesis Single species Temperature Thalassiosira hyalina Type Species Registration number of species Uniform resource locator/link to reference Strain Temperature, water Partial pressure of carbon dioxide water at sea surface temperature wet air Growth rate Growth rate, standard deviation Carbon, organic, particulate, per cell Carbon, organic, particulate, standard deviation Chlorophyll a per cell Chlorophyll a, standard deviation Biogenic silica, per cell Biogenic silica, standard deviation Carbon/Nitrogen ratio Carbon/Nitrogen ratio, standard deviation Partial pressure of carbon dioxide, standard deviation pH pH, standard deviation Alkalinity, total Alkalinity, total, standard deviation Carbon, inorganic, dissolved Carbon, inorganic, dissolved, standard deviation Salinity Treatment Diatoms Diatoms, standard deviation Percentage Percentage, standard deviation Carbonate system computation flag Carbon dioxide Carbon dioxide, standard deviation Fugacity of carbon dioxide water at sea surface temperature wet air Fugacity of carbon dioxide in seawater, standard deviation Bicarbonate ion Bicarbonate ion, standard deviation Carbonate ion Carbonate ion, standard deviation Aragonite saturation state Aragonite saturation state, standard deviation Calcite saturation state Calcite saturation state, standard deviation Experiment Calculated using CO2SYS Potentiometric Potentiometric titration Colorimetric Calculated using seacarb after Nisumaa et al. 2010 Calculated using seacarb after Orr et al. 2018 Ocean Acidification International Coordination Centre OA-ICC |
description |
The potential for adaptation of phytoplankton to future climate is often extrapolated based on single strain responses of a representative species, ignoring variability within and between species. The aim of this study was to approximate the range of strain-specific reaction patterns within an Arctic diatom population, which selection can act upon. In a laboratory experiment, we first incubated natural communities from an Arctic fjord under present and future conditions. In a second step, single strains of the diatom Thalassiosira hyalina were isolated from these selection environments and exposed to a matrix of temperature (3°C and 6°C) and pCO2 levels (180 μatm, 370 μatm, 1000 μatm, 1400 μatm) to establish reaction norms for growth, production rates, and elemental quotas. The results revealed interactive effects of temperature and pCO2 as well as wide tolerance ranges. Between strains, however, sensitivities and optima differed greatly. These strain-specific responses corresponded well with their respective selection environments of the previous community incubation. We therefore hypothesize that intraspecific variability and the selection between coexisting strains may pose an underestimated source of species' plasticity. Thus, adaptation of phytoplankton assemblages may also occur by selection within rather than only between species, and species-wide inferences from single strain experiments should be treated with caution. : 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 2020-10-14. |
format |
Dataset |
author |
Wolf, Klara K E Hoppe, Clara Jule Marie Rost, Björn |
author_facet |
Wolf, Klara K E Hoppe, Clara Jule Marie Rost, Björn |
author_sort |
Wolf, Klara K E |
title |
Seawater carbonate chemistry and growth, production rates, and elemental quotas of Thalassiosira hyalina |
title_short |
Seawater carbonate chemistry and growth, production rates, and elemental quotas of Thalassiosira hyalina |
title_full |
Seawater carbonate chemistry and growth, production rates, and elemental quotas of Thalassiosira hyalina |
title_fullStr |
Seawater carbonate chemistry and growth, production rates, and elemental quotas of Thalassiosira hyalina |
title_full_unstemmed |
Seawater carbonate chemistry and growth, production rates, and elemental quotas of Thalassiosira hyalina |
title_sort |
seawater carbonate chemistry and growth, production rates, and elemental quotas of thalassiosira hyalina |
publisher |
PANGAEA - Data Publisher for Earth & Environmental Science |
publishDate |
2018 |
url |
https://dx.doi.org/10.1594/pangaea.923884 https://doi.pangaea.de/10.1594/PANGAEA.923884 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Ocean acidification Phytoplankton |
genre_facet |
Arctic Ocean acidification Phytoplankton |
op_relation |
https://CRAN.R-project.org/package=seacarb https://dx.doi.org/10.1002/lno.10639 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.923884 https://doi.org/10.1002/lno.10639 |
_version_ |
1766334703443378176 |
spelling |
ftdatacite:10.1594/pangaea.923884 2023-05-15T15:02:46+02:00 Seawater carbonate chemistry and growth, production rates, and elemental quotas of Thalassiosira hyalina Wolf, Klara K E Hoppe, Clara Jule Marie Rost, Björn 2018 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.923884 https://doi.pangaea.de/10.1594/PANGAEA.923884 en eng PANGAEA - Data Publisher for Earth & Environmental Science https://CRAN.R-project.org/package=seacarb https://dx.doi.org/10.1002/lno.10639 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 Arctic Biomass/Abundance/Elemental composition Bottles or small containers/Aquaria <20 L Chromista Coast and continental shelf Community composition and diversity Entire community Growth/Morphology Laboratory experiment Light Ochrophyta Pelagos Phytoplankton Polar Primary production/Photosynthesis Single species Temperature Thalassiosira hyalina Type Species Registration number of species Uniform resource locator/link to reference Strain Temperature, water Partial pressure of carbon dioxide water at sea surface temperature wet air Growth rate Growth rate, standard deviation Carbon, organic, particulate, per cell Carbon, organic, particulate, standard deviation Chlorophyll a per cell Chlorophyll a, standard deviation Biogenic silica, per cell Biogenic silica, standard deviation Carbon/Nitrogen ratio Carbon/Nitrogen ratio, standard deviation Partial pressure of carbon dioxide, standard deviation pH pH, standard deviation Alkalinity, total Alkalinity, total, standard deviation Carbon, inorganic, dissolved Carbon, inorganic, dissolved, standard deviation Salinity Treatment Diatoms Diatoms, standard deviation Percentage Percentage, standard deviation Carbonate system computation flag Carbon dioxide Carbon dioxide, standard deviation Fugacity of carbon dioxide water at sea surface temperature wet air Fugacity of carbon dioxide in seawater, standard deviation Bicarbonate ion Bicarbonate ion, standard deviation Carbonate ion Carbonate ion, standard deviation Aragonite saturation state Aragonite saturation state, standard deviation Calcite saturation state Calcite saturation state, standard deviation Experiment Calculated using CO2SYS Potentiometric Potentiometric titration Colorimetric Calculated using seacarb after Nisumaa et al. 2010 Calculated using seacarb after Orr et al. 2018 Ocean Acidification International Coordination Centre OA-ICC dataset Dataset 2018 ftdatacite https://doi.org/10.1594/pangaea.923884 https://doi.org/10.1002/lno.10639 2022-02-08T16:27:35Z The potential for adaptation of phytoplankton to future climate is often extrapolated based on single strain responses of a representative species, ignoring variability within and between species. The aim of this study was to approximate the range of strain-specific reaction patterns within an Arctic diatom population, which selection can act upon. In a laboratory experiment, we first incubated natural communities from an Arctic fjord under present and future conditions. In a second step, single strains of the diatom Thalassiosira hyalina were isolated from these selection environments and exposed to a matrix of temperature (3°C and 6°C) and pCO2 levels (180 μatm, 370 μatm, 1000 μatm, 1400 μatm) to establish reaction norms for growth, production rates, and elemental quotas. The results revealed interactive effects of temperature and pCO2 as well as wide tolerance ranges. Between strains, however, sensitivities and optima differed greatly. These strain-specific responses corresponded well with their respective selection environments of the previous community incubation. We therefore hypothesize that intraspecific variability and the selection between coexisting strains may pose an underestimated source of species' plasticity. Thus, adaptation of phytoplankton assemblages may also occur by selection within rather than only between species, and species-wide inferences from single strain experiments should be treated with caution. : 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 2020-10-14. Dataset Arctic Ocean acidification Phytoplankton DataCite Metadata Store (German National Library of Science and Technology) Arctic |