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Phytoplanktonic biomass synthesis: application to deviation from Redfield stoichiometry
Fraga, F. (2001). Phytoplanktonic biomass synthesis: application to deviation from Redfield stoichiometry. Sci. Mar. (Barc.) 65(S2): 153-169. https://dx.doi.org/10.3989/scimar.2001.65s2153
In: Scientia Marina (Barcelona). Consejo Superior de Investigaciones Científicas. Institut de Ciènces del Mar: Barcelona. ISSN 0214-8358; e-ISSN 1886-8134, meer
Ook verschenen in:
Gili, J.-M.; Pretus, J.L.; Packard, T.T. (Ed.) (2001). A Marine Science Odyssey into the 21st Century: 36th European Marine Biology Symposium, Maó (Menorca), 17-22 September 2001. European Marine Biology Symposia, 36. Scientia Marina (Barcelona), 65(Suppl. 2). 326 pp. https://dx.doi.org/10.3989/scimar.2001.65s2, meer
Peer reviewed article  

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Author keywords
    Redfield deviations, phytoplankton stoichiometry, dinoflagellates, coccolithophores, cyanobacteria

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  • Fraga, F.

Abstract
    During biomass formation as a result of phytoplankton photosynthesis, CO2 and the nutrients NO3 and PO4 are consumed and O2 produced in fixed proportions known as the Redfield ratio. Broecker’s tracers, i.e., “NO” = O2+RN·NO3, “PO” =O2+RP·PO4, and “CO” = O2+RC·CO2, remain constant during photosynthesis, because nutrients consumed are offset by O2 formation. When one or several nutrients become depleted, the Redfield ratio no longer holds, and the tracers cease to remain constant. The main causes are formation of excess carbohydrates or lipids, N2 fixation, or production of CaCO3 plates by phytoplanktonic populations that have developed different strategies for obtaining the nutrients they need. This paper presents new tracers that remain constant, irrespective of whether or not Redfield stoichiometry is satisfied. Differences between the values of the new tracers and the values of the conventional tracers reveal the presence of anomalies in biomass production. They also allow quantification of any such anomalies, both globally and by depth stratum, and assessment of each individual anomaly separately, even when more than one anomaly occur simultaneously.

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