Journal cover Journal topic
Biogeosciences An interactive open-access journal of the European Geosciences Union
Biogeosciences, 8, 3423-3439, 2011
http://www.biogeosciences.net/8/3423/2011/
doi:10.5194/bg-8-3423-2011
© Author(s) 2011. This work is distributed
under the Creative Commons Attribution 3.0 License.
Research article
28 Nov 2011
Inferring phytoplankton carbon and eco-physiological rates from diel cycles of spectral particulate beam-attenuation coefficient
G. Dall'Olmo1, E. Boss2, M. J. Behrenfeld3, T. K. Westberry3, C. Courties4,5, L. Prieur6,7, M. Pujo-Pay8,9, N. Hardman-Mountford1, and T. Moutin10 1Plymouth Marine Laboratory, Prospect Place, The Hoe, Plymouth, PL1 3DH, UK
2MISC Lab, University of Maine, 458 Aubert Hall, Orono, ME 04469, USA
3Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, 97331, USA
4CNRS, UMS2348, Observatoire Océanologique, 66650 Banyuls sur mer, France
5UPMC Univ Paris 06, UMS2348, Observatoire Océanologique, 66650 Banyuls sur mer, France
6CNRS, UMR7093, Laboratoire d'Océanographie de Villefranche, Observatoire Océanologique, 06234 Villefranche/mer, France
7UPMC Univ Paris 06, UMR7093, Laboratoire d'Océanographie de Villefranche, Observatoire Océanologique, 06230 Villefranche/mer, France
8INSU-CNRS, UMR7621, LOMIC, Laboratoire d'Océanographie Microbienne, Observatoire d'Oceanologique, 66650 Banyuls/mer, France
9UPMC Univ Paris 06, UMR7621, LOMIC, Laboratoire d'Océanographie Microbienne, Observatoire Oceanologique, 66650 Banyuls/mer, France
10INSU-CNRS, Laboratoire d'Océanographie Physique et Biogéochimique, UMR6535, Centre d'Océanologie de Marseille, Université de la Mediterranée, France
Abstract. The diurnal fluctuations in solar irradiance impose a fundamental frequency on ocean biogeochemistry. Observations of the ocean carbon cycle at these frequencies are rare, but could be considerably expanded by measuring and interpreting the inherent optical properties. A method is presented to analyze diel cycles in particulate beam-attenuation coefficient (cp) measured at multiple wavelengths. The method is based on fitting observations with a size-structured population model coupled to an optical model to infer the particle size distribution and physiologically relevant parameters of the cells responsible for the measured diel cycle in cp. Results show that the information related to size and contained in the spectral data can be exploited to independently estimate growth and loss rates during the day and night. In addition, the model can characterize the population of particles affecting the diel variability in cp. Application of this method to spectral cp measured at a station in the oligotrophic Mediterranean Sea suggests that most of the observed variations in cp can be ascribed to a synchronized population of cells with an equivalent spherical diameter around 4.6±1.5 μm. The inferred carbon biomass of these cells was about 5.2–6.0 mg m−3 and accounted for approximately 10% of the total particulate organic carbon. If successfully validated, this method may improve our in situ estimates of primary productivity.

Citation: Dall'Olmo, G., Boss, E., Behrenfeld, M. J., Westberry, T. K., Courties, C., Prieur, L., Pujo-Pay, M., Hardman-Mountford, N., and Moutin, T.: Inferring phytoplankton carbon and eco-physiological rates from diel cycles of spectral particulate beam-attenuation coefficient, Biogeosciences, 8, 3423-3439, doi:10.5194/bg-8-3423-2011, 2011.
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