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Predator–prey models: an application for the plankton dynamics of lake Geneva

Environmental and Ecological Statistics volume 18, pages 315–329 (2011)Cite this article

Abstract

In this paper we present a hierarchical Bayesian analysis for a predator–prey model applied to ecology considering the use of Markov Chain Monte Carlo methods. We consider the introduction of a random effect in the model and the presence of a covariate vector. An application to ecology is considered using a data set related to the plankton dynamics of lake Geneva for the year 1990. We also discuss some aspects of discrimination of the proposed models.

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Authors and Affiliations

  1. DMS/FMRP/USP, Universidade de São Paulo, Ribeirão Preto, Brazil

    Jorge Alberto Achcar & Emílio Augusto Coelho-Barros

  2. DEs/UEM, Universidade Estadual de Maringá, Maringá, Brazil

    Josmar Mazucheli & Emílio Augusto Coelho-Barros

Authors
  1. Jorge Alberto Achcar
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  2. Josmar Mazucheli
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  3. Emílio Augusto Coelho-Barros
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Correspondence to Emílio Augusto Coelho-Barros.

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Achcar, J.A., Mazucheli, J. & Coelho-Barros, E.A. Predator–prey models: an application for the plankton dynamics of lake Geneva. Environ Ecol Stat 18, 315–329 (2011). https://doi.org/10.1007/s10651-010-0134-z

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  • DOI: https://doi.org/10.1007/s10651-010-0134-z

Keywords

  • Predator–prey models
  • Bayesian analysis
  • Random effects
  • Plankton dynamics
  • Markov Chain Monte Carlo