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Modeling the role of viral disease in recurrent phytoplankton blooms

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Abstract

The recurrent pattern of some phytoplankton species can vary considerably from year to year. Recent experimental work suggests that the contamination of algal cells by viruses can serve as a regulatory mechanism in bloom dynamics. A simple trophic model is proposed that includes virus-induced mortality, and it mimics the actual bloom patterns of several species. The model results are compared to actual data by a combination of nonlinear forecasting techniques.

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Authors and Affiliations

  1. Department of Applied Mathematics, and the Marine Sciences Research Center, State University of New York, 11794, Stony Brook, NY, USA

    Edward Beltrami

  2. Harriman School of Management and the Institute for Pattern Recognition, State University of New York, 11794, Stony Brook, NY, USA

    T. O. Carroll

Authors
  1. Edward Beltrami
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  2. T. O. Carroll
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Beltrami, E., Carroll, T.O. Modeling the role of viral disease in recurrent phytoplankton blooms. J. Math. Biol. 32, 857–863 (1994). https://doi.org/10.1007/BF00168802

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  • DOI: https://doi.org/10.1007/BF00168802

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