Articles | Volume 15, issue 13
Biogeosciences, 15, 4271–4289, 2018
https://doi.org/10.5194/bg-15-4271-2018
Biogeosciences, 15, 4271–4289, 2018
https://doi.org/10.5194/bg-15-4271-2018

Research article 13 Jul 2018

Research article | 13 Jul 2018

Phytoplankton size class in the East China Sea derived from MODIS satellite data

Hailong Zhang et al.

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Cited articles

Aiken, J., Pradhan, Y., Barlow, R., Lavender, S., Poulton, A., Holligan, P., and Hardman-Mountford, N.: Phytoplankton pigments and functional types in the Atlantic Ocean: A decadal assessment, 1995–2005, Deep-Sea Res. Pt. II, 56, 899–917, https://doi.org/10.1016/j.dsr2.2008.09.017, 2009.
Barlow, R., Gibberd, M., Lamont, T., Aiken, J., and Holligan, P.: Chemotaxonomic phytoplankton patterns on the eastern boundary of the Atlantic Ocean, Deep-Sea Res. Pt. I, 111, 73–78, https://doi.org/10.1016/j.dsr.2016.02.011, 2016.
Barnes, C., Irigoien, X., De Oliveira, J. A., Maxwell, D., and Jennings, S.: Predicting marine phytoplankton community size structure from empirical relationships with remotely sensed variables, J. Plankton Res., 33, 13–24, https://doi.org/10.1093/plankt/fbq088, 2010.
Behrenfeld, M. J., O'Malley, R. T., Siegel, D. A., McClain, C. R., Sarmiento, J. L., Feldman, G. C., Milligan, A. J., Falkowski, P. G., Letelier, R. M., and Boss, E. S.: Climate-driven trends in contemporary ocean productivity, Nature, 444, 752–755, https://doi.org/10.1038/nature05317, 2006.
Behrenfeld, M. J.: Abandoning Sverdrup's critical depth hypothesis on phytoplankton blooms, Ecology, 91, 977–989, https://doi.org/10.1890/09-1207.1, 2010.
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Short summary
The PSC model was re-tuned for regional application in the East China Sea, and successfully applied to MODIS data. We investigated previously unknown temporal–spatial patterns of the PSC in the ECS and analyzed their responses to environmental factors. The results show the PSC varied across both spatial and temporal scales, and was probably affected by the water column stability, upwelling, and Kuroshio. In addition, human activity and riverine discharge may impact the PSC dynamics.
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