Series 5: pCO2 as one of multiple stressors for Thalassiosira weissflogii
Ocean acidification as one of multiple stressors: Response of Thalassiosira weissflogii (diatom) - Abstract (35.35Kb)
Ocean acidification as one of multiple stressors: Response of Thalassiosira weissflogii (diatom) - Data Methods (33.06Kb)
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KeywordOcean Acidification; Temperature; Transparent exopolymer particles (TEP); Climate change; Diatom; Thalassiosira weissflogii; Partial Pressure CO2 (pCO2); Growth Rates; Cell Quotas; Marinobacter adhaerens HP15
The increase in partial pressure of CO2 (pCO2) is causing ocean acidification, which impacts the growth rates and elemental composition of phytoplankton. Here, shifts in growth rates and cell quotas of Thalassiosira weissflogii grown under a variety of different temperatures, irradiances, and pCO2 conditions are discussed.
The presented data suggest that acclimatization times of exponentially growing diatoms to environmental perturbations may be weeks to months, rather than days to weeks. The response of acclimatized T. weissflogii to pCO2 depended on irradiance and temperature and was highly interactive, non-linear, and non-uniform. A very significant negative effect of pCO2 was observed under growth conditions that were light-, and temperature-limited; a smaller, but still significant negative response was seen under light-limiting growth conditions, whereas pCO2 did not affect growth rates of T. weissflogii under light-saturated growth conditions. Cell quotas of organic carbon, nitrogen, or chlorophyll a were linked to growth rate. The cell-normalized production of transparent exopolymer particles (TEP) was positively correlated with POC cell quotas, with some minor impact of irradiance and pCO2 on the relationship. This correlation of TEP production with carbon cell quotas is consistent with the hypothesis that extracellular release is an inherent component of cell metabolism. Results suggest that elevated pCO2 functions as an (additional) metabolic stressor for T. weissflogii and that the interaction of different stressors determines growth rates and cell characteristics in a complex, non-linear relationship.
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