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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Bibliographic Details
Main Authors: Wolf, Klara K E, Hoppe, Clara Jule Marie, Rost, Björn
Format: Dataset
Language:English
Published: PANGAEA - Data Publisher for Earth & Environmental Science 2018
Subjects:
pH
Online Access:https://dx.doi.org/10.1594/pangaea.923884
https://doi.pangaea.de/10.1594/PANGAEA.923884
id ftdatacite:10.1594/pangaea.923884
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