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An individual-based analysis of the dynamics of two coexisting phytoplankton species in the mixed layer

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  • Cianelli, Daniela
  • Sabia, Luciana
  • d’Alcalà, Maurizio Ribera
  • Zambianchi, Enrico

Abstract

In marine ecosystems ecological and environmental conditions continuously change, possibly supporting the wide range of phytoplankton species coexisting in aquatic environments. Phytoplankton communities are not homogeneously distributed in the water column due to the spatial and temporal variability of turbulent mixing and the concurrent biological response. In this paper an individual-based model (Lagrangian method) simulating the basic physiology of two coexisting phytoplankton species has been developed. The species, sharing the same availability of light and nutrient resource, are characterized by different photo-physiological parameters. The spatial and temporal evolution of turbulent mixing is simulated introducing vertical profiles of measured eddy diffusivity. Three case studies have been examined to analyze the role of environment–individual interactions in determining bloom conditions for both the selected species. The organisms experience recurrent fluctuations of light, temperature, and nutrient concentration gradients, due to the turbulent mixing in the water column, which have significant effects on the growth of the phytoplankton species. In all the numerical experiments, the temporal and spatial variability of different forcings do not support the prevalence of one species over the other over the time scale typical of a phytoplankton bloom.

Suggested Citation

  • Cianelli, Daniela & Sabia, Luciana & d’Alcalà, Maurizio Ribera & Zambianchi, Enrico, 2009. "An individual-based analysis of the dynamics of two coexisting phytoplankton species in the mixed layer," Ecological Modelling, Elsevier, vol. 220(19), pages 2380-2392.
  • Handle: RePEc:eee:ecomod:v:220:y:2009:i:19:p:2380-2392
    DOI: 10.1016/j.ecolmodel.2009.06.016
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    References listed on IDEAS

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    1. W. R. Young & A. J. Roberts & G. Stuhne, 2001. "Reproductive pair correlations and the clustering of organisms," Nature, Nature, vol. 412(6844), pages 328-331, July.
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