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Use of individual-based models for population parameters estimation

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  • Gilioli, Gianni
  • Pasquali, Sara

Abstract

A method for parameters estimation of stage-specific mortality and fecundity rate functions in poikilotherm organisms, and in particular for arthropod structured population, is proposed. The application of this method requires three types of information: stage-frequency data of a sampled population, development rate function and time evolution of forcing variables affecting the rate functions. By means of an individual-based model (a microscopic model) the number of eggs produced by the adults is generated starting from the number of individuals collected at each sampling time. Using a compartmental model (a macroscopic model) a stage-structured population dynamics is described and compared with observations. Non-linear regression methods based on least square principle are used to estimate the optimal parameters of the mortality and fecundity rate functions combining microscopic and macroscopic models. As a case study, the parameter estimation of the temperature-dependent mortality function of olives fruit fly Bactrocera oleae is presented.

Suggested Citation

  • Gilioli, Gianni & Pasquali, Sara, 2007. "Use of individual-based models for population parameters estimation," Ecological Modelling, Elsevier, vol. 200(1), pages 109-118.
    • Handle: RePEc:eee:ecomod:v:200:y:2007:i:1:p:109-118
    DOI: 10.1016/j.ecolmodel.2006.07.017
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    Citations

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    Cited by:

    1. Thayer, Sarah A. & Taylor, William W. & Hayes, Daniel B. & Haas, Robert C., 2007. "Weight of evidence for underlying dynamics of yellow perch in Saginaw Bay, Lake Huron," Ecological Modelling, Elsevier, vol. 206(1), pages 31-40.
    2. Sara Pasquali & Gianni Gilioli & Dirk Janssen & Stephan Winter, 2015. "Optimal Strategies for Interception, Detection, and Eradication in Plant Biosecurity," Risk Analysis, John Wiley & Sons, vol. 35(9), pages 1663-1673, September.
    3. Gilioli, Gianni & Pasquali, Sara & Marchesini, Enrico, 2016. "A modelling framework for pest population dynamics and management: An application to the grape berry moth," Ecological Modelling, Elsevier, vol. 320(C), pages 348-357.

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