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Zhang, Yong; Bach, Lennart Thomas; Schulz, Kai Georg; Riebesell, Ulf (2016): The modulating effect of light intensity on the response of the coccolithophore Gephyrocapsa oceanica to ocean acidification. GEOMAR - Helmholtz Centre for Ocean Research Kiel, PANGAEA, https://doi.org/10.1594/PANGAEA.861157, Supplement to: Zhang, Y et al. (2015): The modulating effect of light intensity on the response of the coccolithophore Gephyrocapsa oceanica to ocean acidification. Limnology and Oceanography, 60(6), 2145-2157, https://doi.org/10.1002/lno.10161

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Abstract:
Global change leads to a multitude of simultaneous modifications in the marine realm among which shoaling of the upper mixed layer, leading to enhanced surface layer light intensities, as well as increased carbon dioxide (CO2) concentration are some of the most critical environmental alterations for phytoplankton. In this study, we investigated the responses of growth, photosynthetic carbon fixation and calcification of the coccolithophore Gephyrocapsa oceanica to elevated inline image (51 Pa, 105 Pa, and 152 Pa) (1 Pa ~ 10 µatm) at a variety of light intensities (50-800 µmol photons/m**2/s). By fitting the light response curve, our results showed that rising inline image reduced the maximum rates for growth, photosynthetic carbon fixation and calcification. Increasing light intensity enhanced the sensitivity of these rate responses to inline image, and shifted the inline image optima toward lower levels. Combining the results of this and a previous study (Sett et al. 2014) on the same strain indicates that both limiting low inline image and inhibiting high inline image levels (this study) induce similar responses, reducing growth, carbon fixation and calcification rates of G. oceanica. At limiting low light intensities the inline image optima for maximum growth, carbon fixation and calcification are shifted toward higher levels. Interacting effects of simultaneously occurring environmental changes, such as increasing light intensity and ocean acidification, need to be considered when trying to assess metabolic rates of marine phytoplankton under future ocean scenarios.
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethodComment
1Experimental treatmentExp treatZhang, Yong
2Carbon dioxide, partial pressurepCO2PaZhang, Yong
3Radiation, photosynthetically activePARµmol quanta/m2/sZhang, Yong
4Temperature, waterTemp°CZhang, Yong
5Light:Dark cycleL:Dhh:hhZhang, Yong
6Growth rateµ1/dayZhang, Yong
7Growth rate, standard deviationµ std dev±Zhang, Yong
8Electron transport rate, relativerETRµmol e/m2/sZhang, Yong
9Electron transport rate, relative, standard deviationrETR std dev±Zhang, Yong
10Initial slope of rapid light curvealphaµmol electrons/µmol quantaZhang, Yong
11Initial slope of rapid light curve, standard deviationalpha std dev±Zhang, Yong
12Light saturation pointIkZhang, Yong
13Light saturation point, standard deviationIk std dev±Zhang, Yong
14Production of particulate organic carbon per cellPOC prodpg/#/dayZhang, Yong
15Particulate organic carbon, production, standard deviationPOC prod std dev±Zhang, Yong
16Particulate inorganic carbon production per cellPIC prodpg/#/dayZhang, Yong
17Particulate inorganic carbon, production, standard deviationPIC prod std dev±Zhang, Yong
18Particulate inorganic carbon/particulate organic carbon ratioPIC/POCZhang, Yong
19Particulate inorganic carbon/particulate organic carbon ratio, standard deviationPIC/POC ratio std dev±Zhang, Yong
20Carbon, organic, particulate/Nitrogen, organic, particulate ratioPOC/PONZhang, Yong
21Carbon, organic, particulate/Nitrogen, organic, particulate ratio, standard deviationPOC/PON std dev±Zhang, Yong
Size:
378 data points

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