Articles | Volume 14, issue 7
https://doi.org/10.5194/bg-14-1857-2017
https://doi.org/10.5194/bg-14-1857-2017
Research article
 | 
06 Apr 2017
Research article |  | 06 Apr 2017

A data–model synthesis to explain variability in calcification observed during a CO2 perturbation mesocosm experiment

Shubham Krishna and Markus Schartau

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Cited articles

Arteaga, L., Pahlow, M., and Oschlies, A.: Global patterns of phytoplankton nutrient and light colimitation inferred from an optimality-based model. Global Biogeochem. Cy., 28, 648–661, 2014.
Barcelos e Ramos, J., Müller, M. N., and Riebesell, U.: Short-term response of the coccolithophore Emiliania huxleyi to an abrupt change in seawater carbon dioxide concentrations, Biogeosciences, 7, 177–186, https://doi.org/10.5194/bg-7-177-2010, 2010.
Barcelos e Ramos, J., Schulz, K. G., Febiri, S., and Riebesell, U.: Photoacclimation to abrupt changes in light intensity by Phaeodactylum tricornutum and Emiliania huxleyi: the role of calcification, Mar. Ecol.-Prog. Ser., 452, 11–26, 2012.
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This study combines experimental data with results from numerical modelling. Data of an ocean acidification mesocosm experiment are used to constrain parameter values of a plankton model. Three different intensities of calcification are resolved with ensembles of optimised model results. Observed variability in data can be well explained by these ensemble model solutions. The simulated ocean acidification effect on calcification is small compared to the spread of the ensemble model solutions.
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