Seawater carbonate chemistry and diatom Phaeodactylum tricornutum (CCMA 106) biological processes during experiments, 2010, supplement to: Wu, YaPing; Gao, Kunshan; Riebesell, Ulf (2010): CO2-induced seawater acidification affects physiological performance of the marine diatom Phaeodactylum tricornutum. Biogeosciences, 7(9), 2915-2923

• Main Authors: Wu, YaPing, Gao, Kunshan, Riebesell, Ulf
• Format: Dataset
• Language: English
• Published: PANGAEA - Data Publisher for Earth & Environmental Science 2010
• Subjects: Bottles or small containers/Aquaria <20 L; Chromista; Growth/Morphology; Laboratory experiment; Laboratory strains; Not applicable; Ochrophyta; Pelagos; Phaeodactylum tricornutum; Phytoplankton; Primary production/Photosynthesis; Respiration; Single species; Experimental treatment; Comment; Salinity; Temperature, water; Carbon dioxide, partial pressure; Carbon dioxide, partial pressure, standard deviation; pH; pH, standard deviation; Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Bicarbonate ion; Bicarbonate ion, standard deviation; Carbonate ion; Carbonate ion, standard deviation; Carbon dioxide; Carbon dioxide, standard deviation; Alkalinity, total; Alkalinity, total, standard deviation; Photochemical efficiency; Photochemical efficiency, standard deviation; Maximum potential photosynthesis; Maximum potential photosynthesis, standard deviation; Light saturation point; Light saturation point, standard deviation; Chlorophyll a per cell; Chlorophyll a, standard deviation; Growth rate; Growth rate, standard deviation; Photosynthetic carbon fixation rate; Photosynthetic carbon fixation rate, standard deviation; Respiration rate, oxygen; Respiration rate, oxygen, standard deviation; Carbonate system computation flag; Partial pressure of carbon dioxide water at sea surface temperature wet air; Fugacity of carbon dioxide water at sea surface temperature wet air; Aragonite saturation state; Calcite saturation state; Measured; Infrared CO2/H2O gas analyzer, non-dispersive, LI-COR type LI-7000; pH meter Benchtop pH510, OAKTON; DIC analyzer AS-C3, Apollo Scitech; Calculated using CO2SYS; Calculated, see references; see references; Spectrophotometry; Calculated; Liquid scintillation counter Tri-Carb 2800TR, Perkin-Elmer; Clark type oxygen electrode 5300A, YSI; Calculated using seacarb after Nisumaa et al. 2010; European network of excellence for Ocean Ecosystems Analysis EUR-OCEANS; European Project on Ocean Acidification EPOCA; Ocean Acidification International Coordination Centre OA-ICC; Ocean acidification
• Online Access: https://dx.doi.org/10.1594/pangaea.758214; https://doi.pangaea.de/10.1594/PANGAEA.758214

CO2/pH perturbation experiments were carried out under two different pCO2 levels (39.3 and 101.3 Pa) to evaluate effects of CO2-induced ocean acidification on the marine diatom Phaeodactylum tricornutum. After acclimation (>20 generations) to ambient and elevated CO2 conditions (with corresponding pH values of 8.15 and 7.80, respectively), growth and photosynthetic carbon fixation rates of high CO2 grown cells were enhanced by 5% and 12%, respectively, and dark respiration stimulated by 34% compared to cells grown at ambient CO2. The half saturation constant (Km) for carbon fixation (dissolved inorganic carbon, DIC) increased by 20% under the low pH and high CO2 condition, reflecting a decreased affinity for HCO3- or/and CO2 and down-regulated carbon concentrating mechanism (CCM). In the high CO2 grown cells, the electron transport rate from photosystem II (PSII) was photoinhibited to a greater extent at high levels of photosynthetically active radiation, while non-photochemical quenching was reduced compared to low CO2 grown cells. This was probably due to the down-regulation of CCM, which serves as a sink for excessive energy. The balance between these positive and negative effects on diatom productivity will be a key factor in determining the net effect of rising atmospheric CO2 on ocean primary production. : In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Lavigne and Gattuso, 2011) 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).