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Physiologically Structured Population Models in Risk Assessment

In: Biomathematics and Related Computational Problems

Author

Listed:
  • Thomas G. Hallam

    (University of Tennessee, Department of Mathematics and Graduate Program in Ecology)

  • Ray R. Lassiter

    (U.S. Environmental Protection Agency, Environmental Research Laboratory)

  • Jia Li

    (University of Tennessee, Department of Mathematics)

  • William McKinney

    (University of Tennessee, Department of Mathematics)

Abstract

Perturbations of population structure due to toxic chemical exposure are studied by employing a mathematical model. The risk assessment scheme is composed of an individual model, an exposure model, and a population model. The differential equation model of an individual has components chosen by chemical affinity to organism phase and is based upon energy budget principles. These individual dynamics are integrated into a population model of McKendrick-von Foerster type. The exposure model is employed to determine concentration of toxicant in the individual organism. Individual mortality is assessed by employing LD-50 bioassays; then, effects on the population are determined from the perturbed population model.

Suggested Citation

  • Thomas G. Hallam & Ray R. Lassiter & Jia Li & William McKinney, 1988. "Physiologically Structured Population Models in Risk Assessment," Springer Books, in: Luigi M. Ricciardi (ed.), Biomathematics and Related Computational Problems, pages 197-211, Springer.
    • Handle: RePEc:spr:sprchp:978-94-009-2975-3_18
    DOI: 10.1007/978-94-009-2975-3_18
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