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Zhang, Yong; Zhang, Yong; Ma, Shuai; Chen, Hanbing; Li, Jiabing; Li, Zhengke; Xu, Kai; Huang, Ruiping; Zhang, Hong; Han, Yonghe; Sun, Jun (2023): Seawater carbonate chemistry and reallocation of elemental content and macromolecules in the coccolithophore Emiliania huxleyi [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.960151

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Abstract:
Global climate change leads to simultaneous changes in multiple environmental drivers in the marine realm. Although physiological characterization of coccolithophores has been studied under climate change, there is limited knowledge on the biochemical responses of this biogeochemically important phytoplankton group to changing multiple environmental drivers. Here, we investigate the interactive effects of reduced phosphorus availability (4 to 0.4 µmol L−1), elevated pCO2 concentrations (426 to 946 µatm), and increasing light intensity (40 to 300 µmol photons m−2 s−1) on elemental content and macromolecules of the cosmopolitan coccolithophore Emiliania huxleyi. Reduced phosphorus availability reduces particulate organic nitrogen (PON) and protein contents per cell under 40 µmol photons m−2 s−1 but not under 300 µmol photons m−2 s−1. Reduced phosphorus availability and elevated pCO2 concentrations act synergistically to increase particulate organic carbon (POC) and carbohydrate contents per cell under 300 µmol photons m−2 s−1 but not under 40 µmol photons m−2 s−1. Reduced phosphorus availability, elevated pCO2 concentrations, and increasing light intensity act synergistically to increase the allocation of POC to carbohydrates. Under elevated pCO2 concentrations and increasing light intensity, enhanced carbon fixation could increase carbon storage in the phosphorus-limited regions of the oceans where E. huxleyi dominates the phytoplankton assemblages. In each type of light intensity, elemental-carbon-to-phosphorus (C:P) and nitrogen-to-phosphorus (N:P) ratios decrease with increasing growth rate. These results suggest that coccolithophores could reallocate chemical elements and energy to synthesize macromolecules efficiently, which allows them to regulate their elemental content and growth rate to acclimate to changing environmental conditions.
Keyword(s):
Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria (<20 L); Chromista; Emiliania huxleyi; Growth/Morphology; Haptophyta; Laboratory experiment; Laboratory strains; Light; Macro-nutrients; Not applicable; Pelagos; Phytoplankton; Single species
Supplement to:
Zhang, Yong; Zhang, Yong; Ma, Shuai; Chen, Hanbing; Li, Jiabing; Li, Zhengke; Xu, Kai; Huang, Ruiping; Zhang, Hong; Han, Yonghe; Sun, Jun (2023): Reallocation of elemental content and macromolecules in the coccolithophore Emiliania huxleyi to acclimate to climate change. Biogeosciences, 20(7), 1299-1312, https://doi.org/10.5194/bg-20-1299-2023
Documentation:
Gattuso, Jean-Pierre; Epitalon, Jean-Marie; Lavigne, Héloïse; Orr, James; Gentili, Bernard; Hagens, Mathilde; Hofmann, Andreas; Mueller, Jens-Daniel; Proye, Aurélien; Rae, James; Soetaert, Karline (2022): seacarb: seawater carbonate chemistry with R. R package version 3.3.1. https://cran.r-project.org/web/packages/seacarb/index.html
Comment:
In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2022) 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 2023-06-28.
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1Type of studyStudy typeZhang, Yong
2Species, unique identificationSpecies UIDZhang, Yong
3Species, unique identification (URI)Species UID (URI)Zhang, Yong
4Species, unique identification (Semantic URI)Species UID (Semantic URI)Zhang, Yong
5TreatmentTreatZhang, Yong
6TreatmentTreatZhang, Yong
7TreatmentTreatZhang, Yong
8Growth rateµ1/dayZhang, Yong
9Growth rate, standard deviationµ std dev±Zhang, Yong
10Carbon, organic, particulate, per cellPOC/cellpg/#Zhang, Yong
11Carbon, organic, particulate, standard deviationPOC std dev±Zhang, Yong
12Nitrogen, organic, particulate, per cellPON/cellpg/#Zhang, Yong
13Particulate organic nitrogen per cell, standard deviationPON/cell std dev±Zhang, Yong
14Phosphorus, organic, particulate, per cellPOP/cellpg/#Zhang, Yong
15Phosphorus, organic, particulate, per cell, standard deviationPOP/cell std dev±Zhang, Yong
16Carbon, inorganic, particulate, per cellPIC/cellpg/#Zhang, Yong
17Particulate inorganic carbon per cell, standard deviationPIC/cell std dev±Zhang, Yong
18Carbon, organic, particulate/Nitrogen, organic, particulate ratioPOC/PONZhang, Yong
19Carbon, organic, particulate/Nitrogen, organic, particulate ratio, standard deviationPOC/PON std dev±Zhang, Yong
20Carbon, organic, particulate/Phosphorus, organic, particulate ratioPOC/POPZhang, Yong
21Carbon, organic, particulate/Phosphorus, organic, particulate ratio, standard deviationPOC/POP std dev±Zhang, Yong
22Nitrogen, organic, particulate/Phosphorus, organic, particulate ratioPON/POPZhang, Yong
23Nitrogen, organic, particulate/Phosphorus, organic, particulate ratio, standard deviationPON/POP std dev±Zhang, Yong
24Particulate inorganic carbon/particulate organic carbon ratioPIC/POCZhang, Yong
25Particulate inorganic carbon/particulate organic carbon ratio, standard deviationPIC/POC ratio std dev±Zhang, Yong
26Carbohydrates, per cellCHO/cellpg/#Zhang, Yong
27Carbohydrates, per cell, standard deviationCHO/cell std dev±Zhang, Yong
28Protein per cellProtein/cellpg/#Zhang, Yong
29Proteins, standard deviationProtein std dev±Zhang, Yong
30PercentagePerc%Zhang, YongPOC allocated to carbohydrate
31Percentage, standard deviationPerc std dev±Zhang, YongPOC allocated to carbohydrate
32PercentagePerc%Zhang, YongPOC allocated to protein
33Percentage, standard deviationPerc std dev±Zhang, YongPOC allocated to protein
34PercentagePerc%Zhang, YongPON allocated to protein
35Percentage, standard deviationPerc std dev±Zhang, YongPON allocated to protein
36SalinitySalZhang, Yong
37Temperature, waterTemp°CZhang, Yong
38Partial pressure of carbon dioxide (water) at sea surface temperature (wet air)pCO2water_SST_wetµatmZhang, YongCalculated using CO2SYS
39Partial pressure of carbon dioxide, standard deviationpCO2 std dev±Zhang, YongCalculated using CO2SYS
40pH, total scalepHTZhang, YongSpectrophotometrictotal scale
41pH, standard deviationpH std dev±Zhang, YongSpectrophotometrictotal scale
42Alkalinity, totalATµmol/kgZhang, YongPotentiometric titration
43Alkalinity, total, standard deviationAT std dev±Zhang, YongPotentiometric titration
44Carbon, inorganic, dissolvedDICµmol/kgZhang, YongCalculated using CO2SYS
45Carbon, inorganic, dissolved, standard deviationDIC std dev±Zhang, YongCalculated using CO2SYS
46Bicarbonate ion[HCO3]-µmol/kgZhang, YongCalculated using CO2SYS
47Bicarbonate ion, standard deviation[HCO3]- std dev±Zhang, YongCalculated using CO2SYS
48Carbonate ion[CO3]2-µmol/kgZhang, YongCalculated using CO2SYS
49Carbonate ion, standard deviation[CO3]2- std dev±Zhang, YongCalculated using CO2SYS
50Phosphorus, inorganic, dissolvedDIPµmol/lZhang, Yong
51Phosphorus, inorganic, dissolved, standard deviationDIP std dev±Zhang, Yong
52Carbonate system computation flagCSC flagYang, YanCalculated using seacarb after Nisumaa et al. (2010)
53Carbon dioxideCO2µmol/kgYang, YanCalculated using seacarb after Nisumaa et al. (2010)
54Fugacity of carbon dioxide (water) at sea surface temperature (wet air)fCO2water_SST_wetµatmYang, YanCalculated using seacarb after Nisumaa et al. (2010)
55Partial pressure of carbon dioxide (water) at sea surface temperature (wet air)pCO2water_SST_wetµatmYang, YanCalculated using seacarb after Nisumaa et al. (2010)
56Bicarbonate ion[HCO3]-µmol/kgYang, YanCalculated using seacarb after Nisumaa et al. (2010)
57Carbonate ion[CO3]2-µmol/kgYang, YanCalculated using seacarb after Nisumaa et al. (2010)
58Carbon, inorganic, dissolvedDICµmol/kgYang, YanCalculated using seacarb after Nisumaa et al. (2010)
59Aragonite saturation stateOmega ArgYang, YanCalculated using seacarb after Nisumaa et al. (2010)
60Calcite saturation stateOmega CalYang, YanCalculated using seacarb after Nisumaa et al. (2010)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
460 data points

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