Nonlinear functional response parameter estimation in a stochastic predator-prey model

Parameter estimation for the functional response of predator-prey systems is a critical methodological problem in population ecology. In this paper we consider a stochastic predator-prey system with non-linear Ivlev functional response and propose a method for model parameter estimation based on tim...

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Main Authors: Gianni Gilioli, Sara Pasquali, Fabrizio Ruggeri
Format: Article
Language:English
Published: AIMS Press 2011-11-01
Series:Mathematical Biosciences and Engineering
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Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2012.9.75
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author Gianni Gilioli
Sara Pasquali
Fabrizio Ruggeri
author_facet Gianni Gilioli
Sara Pasquali
Fabrizio Ruggeri
author_sort Gianni Gilioli
collection DOAJ
description Parameter estimation for the functional response of predator-prey systems is a critical methodological problem in population ecology. In this paper we consider a stochastic predator-prey system with non-linear Ivlev functional response and propose a method for model parameter estimation based on time series of field data. We tackle the problem of parameter estimation using a Bayesian approach relying on a Markov Chain Monte Carlo algorithm. The efficiency of the method is tested on a set of simulated data. Then, the method is applied to a predator-prey system of importance for Integrated Pest Management and biological control, the pest mite Tetranychus urticae and the predatory mite Phytoseiulus persimilis. The model is estimated on a dataset obtained from a field survey. Finally, the estimated model is used to forecast predator-prey dynamics in similar fields, with slightly different initial conditions.
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spelling doaj-art-9dc03695231c483eab1e2067d2b411ad2025-01-24T02:05:22ZengAIMS PressMathematical Biosciences and Engineering1551-00182011-11-0191759610.3934/mbe.2012.9.75Nonlinear functional response parameter estimation in a stochastic predator-prey modelGianni Gilioli0Sara Pasquali1Fabrizio Ruggeri2Dipartimento di Scienze Biomediche e Biotecnologie, Università di Brescia, Viale Europa 11, 25125 BresciaDipartimento di Scienze Biomediche e Biotecnologie, Università di Brescia, Viale Europa 11, 25125 BresciaDipartimento di Scienze Biomediche e Biotecnologie, Università di Brescia, Viale Europa 11, 25125 BresciaParameter estimation for the functional response of predator-prey systems is a critical methodological problem in population ecology. In this paper we consider a stochastic predator-prey system with non-linear Ivlev functional response and propose a method for model parameter estimation based on time series of field data. We tackle the problem of parameter estimation using a Bayesian approach relying on a Markov Chain Monte Carlo algorithm. The efficiency of the method is tested on a set of simulated data. Then, the method is applied to a predator-prey system of importance for Integrated Pest Management and biological control, the pest mite Tetranychus urticae and the predatory mite Phytoseiulus persimilis. The model is estimated on a dataset obtained from a field survey. Finally, the estimated model is used to forecast predator-prey dynamics in similar fields, with slightly different initial conditions.https://www.aimspress.com/article/doi/10.3934/mbe.2012.9.75bayesian inferencemcmc algorithmlatent databiological control.ivlev model
spellingShingle Gianni Gilioli
Sara Pasquali
Fabrizio Ruggeri
Nonlinear functional response parameter estimation in a stochastic predator-prey model
Mathematical Biosciences and Engineering
bayesian inference
mcmc algorithm
latent data
biological control.
ivlev model
title Nonlinear functional response parameter estimation in a stochastic predator-prey model
title_full Nonlinear functional response parameter estimation in a stochastic predator-prey model
title_fullStr Nonlinear functional response parameter estimation in a stochastic predator-prey model
title_full_unstemmed Nonlinear functional response parameter estimation in a stochastic predator-prey model
title_short Nonlinear functional response parameter estimation in a stochastic predator-prey model
title_sort nonlinear functional response parameter estimation in a stochastic predator prey model
topic bayesian inference
mcmc algorithm
latent data
biological control.
ivlev model
url https://www.aimspress.com/article/doi/10.3934/mbe.2012.9.75
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AT sarapasquali nonlinearfunctionalresponseparameterestimationinastochasticpredatorpreymodel
AT fabrizioruggeri nonlinearfunctionalresponseparameterestimationinastochasticpredatorpreymodel