Skip to main content
Log in

Numerical solution of structured population models

I age structure

  • Published:
Journal of Mathematical Biology Aims and scope Submit manuscript

Abstract

Numerical methods are presented for a general age-structured population model with demographic rates depending on age and the total population size. The accuracy of these methods is established by solving problems for which alternate solution techniques are available and are used for comparison. The methods reliably solve test problems with a variety of dynamic behavior. Simulations of a blowfly population exhibit cyclic fluctuations, whereas a simulated squirrel population reaches a stable age distribution and stable equilibrium population size. Life-history attributes are easily studied from the computed solutions, and are discussed for these examples. Recovery of a stressed population back to equilibrium is examined by computing the transition in age structure, and the transient behavior of other properties of the population such as the per capita growth rate, the average age, and the generation length.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Barkalow, F. S., Jr., Hamilton, R. B., Soots, R. F.: The vital statistics of an unexploited gray squirrel population. J. Wildl. Manage. 34, 489–500 (1970)

    Google Scholar 

  2. Charlesworth, B.: Evolution in age-structured populations. Cambridge: Cambridge University Press 1980

    Google Scholar 

  3. Goudriaan, J.: Boxcartrain methods for modelling of ageing, development, delays and dispersion. In: Metz, J. A. J., Dickmann, O. (eds.) The dynamics of physiologically structured populations, pp. 453–473. Berlin Heidelberg New York: Springer 1986

    Google Scholar 

  4. Gurney, W. S. C., Blythe, S. P., Nisbet, R. M.: Nicholson's blowflies revisited. Nature 287, 17–21 (1980)

    Google Scholar 

  5. Gurney, W. S. C., Nisbet, R. M., Lawton, J. H.: The systematic formulation of tractable single-species models incorporating age structure. J. Anim. Ecol. 52, 479–495 (1983)

    Google Scholar 

  6. Gurtin, M. E., MacCamy, R. C.: Non-linear age-dependent population dynamics. Arch. Ration. Mech. Anal. 54, 281–300 (1974)

    Google Scholar 

  7. Harten, A., Osher, S.: Uniformly high order accurate non-oscillatory schemes. I. SIAM J. Numer. Anal. 24, 279 (1987)

    Google Scholar 

  8. Hyman, J. M., Stanley, E. A.: Using mathematical models to understand the AIDS epidemic. Math. Biosci. 90, 415–473 (1988a)

    Google Scholar 

  9. Hyman, J. M., Stanley, E. A.: The effect of social mixing patterns on the spread of AIDS. In: Castillo-Chavez, C. et al. (eds.) Mathematical approaches to problems in resource management and epidemiology. (Lect. Notes Biomath., vol. 81, pp. 190–219) Berlin Heidelberg New York: Springer 1988b

    Google Scholar 

  10. Lax, P. D., Wendroff, B.: Systems of conservation laws. Commun. Pure Appl. Math. 13, 217–237 (1960)

    Google Scholar 

  11. May, R. M.: Stability and complexity of model ecosystems. Princeton: Princeton University Press 1975

    Google Scholar 

  12. Metz, J. A. J., Diekmann, O. (eds.): The dynamics of physiologically structured populations. Berlin Heidelberg New York: Springer 1986

    Google Scholar 

  13. McKendrick, A. G.: Applications of mathematics to medical problems. Proc. Edin. Math. Soc. 44, 98–130 (1926)

    Google Scholar 

  14. Nicholson, A. J.: Compensatory reactions of populations to stresses, and their evolutionary significance. Aust. J. Zool. 2, 1–8 (1954a)

    Google Scholar 

  15. Nicholson, A. J.: An outline of the dynamics of animal populations. Aust. J. Zool. 2, 9–65 (1954b)

    Google Scholar 

  16. Nicholson, A. J.: The self-adjustment of populations to change. Cold Spring Harbor Symp. Quant. Biol. 22, 153–173 (1957)

    Google Scholar 

  17. Nisbet, R. M., Gurney, W. S. C.: Modelling fluctuating populations. New York: Wiley 1982

    Google Scholar 

  18. Osher, S., Sweby, P. K.: Recent developments in the numerical solution of non-linear conservation laws. In: Iserles, A., Powell, M. J. D. (eds.) State of the art in numerical methods. (IMA Conf. Ser., vol. 9, pp. 681–700) Oxford: Clarendon Press 1987

    Google Scholar 

  19. Richtmyer, R. D., Morton, K. W.: Difference methods for initial-value problems. New York: Wiley 1967

    Google Scholar 

  20. Sharpe, F. R., Lotka, A. J.: A problem in age distribution. Philos. Mag. 21, 435–438 (1911)

    Google Scholar 

  21. Sod, G. A.: Numerical methods in fluid dynamics. Cambridge: Cambridge University Press 1985

    Google Scholar 

  22. Smith, N. B.: Some aspects of reproduction in female gray squirrels Sciurus c. carolinensis Gmelin, in Wake County, North Carolina. M. S. Thesis, North Carolina State University, Raleigh (1967)

    Google Scholar 

  23. Strikwerda J. C.: Finite difference schemes and partial differential equations. Belmont, CA: Wadsworth & Brooks/Cole 1989

    Google Scholar 

  24. Sulsky, D. L., Vance, R. R., Newman, W. I.: Time delays in age structured populations. J. Theor. Biol. 141, 403–422 (1989)

    Google Scholar 

  25. Vance, R. R., Newman, W. I., Sulsky, D. L.: The demographic meanings of the classical population growth models in ecology. J. Theor. Ecol. 33, 199–225 (1988)

    Google Scholar 

  26. von Foerster, H.: Some remarks on changing populations. In: Stohlman, F. Jr. (ed.) The kinetics of cellular proliferation, pp. 382–407. New York: Grune & Stratton 1959

    Google Scholar 

  27. Webb, G. F.: Theory of nonlinear age-dependent population dynamics. New York: Dekker 1985

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Sulsky, D. Numerical solution of structured population models. J. Math. Biol. 31, 817–839 (1993). https://doi.org/10.1007/BF00168048

Download citation

  • Received:

  • Revised:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF00168048

Key words

Navigation