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On the use of the logistic equation in models of food chains

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Abstract

In food chain models the lowest trophic level is often assumed to grow logistically. Anomalous behaviour of the solution of the logistic equation and problems with the introduction of mortality have recently been reported. As predation on the lowest trophic level is a kind of mortality, one expects problems with these food chain models. In this paper we compare two formulations for the lowest trophic level: the logistic growth formulation and the mass balance formulation with resources modelled explicitly. We examine the effects of both models on the dynamic behaviour of a tri-trophic microbial food chain in a chemostat. For this purpose bifurcation diagrams, which give the existence and stability of the equilibria of the nonlinear dynamic system, are used. It turns out that the dynamic behaviours differ in a rather large region of the control parameter space spanned by the dilution rate and the concentration of the resources in the reservoir. We urge that mass balance equations should be used in modelling food chains in chemostats as well as in ecosystems.

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References

  • Blanco, J. M. (1993). Relationship between the logistic equation and the Lotka-Volterra models. Ecological Modelling. 66, 301–303.

    Article  Google Scholar 

  • Cunningham, A. and R. M. Nisbet (1983). Transients and oscillations in continuous culture, in Mathematical Methods in Microbiology, M. J. Bazin (Ed.), London: Academic Press, pp. 77–103.

    Google Scholar 

  • DeAngelis, D. L. (1992). Dynamics of Nutrient Cycling and Food Webs, London: Chapman and Hall.

    Google Scholar 

  • Edelstein-Keshet, L. (1988). Mathematical Models in Biology, New York: Random House.

    Google Scholar 

  • Ginzburg, L. R. (1992). Evolutionary consequences of basic growth equations. Trends in Ecology and Evolution. 7, 133.

    Article  Google Scholar 

  • Hallam, T. G. and C. E. Clark (1981). Non-autonomous logistic equations as models of population in a deteriorating environment. J. theor. Biol. 93, 303–311.

    Article  MathSciNet  Google Scholar 

  • Hastings, A. and T. Powell (1991). Chaos in a three-species food chain. Ecology. 72, 896–903.

    Article  Google Scholar 

  • Hutchinson, G. E. (1978). An Introduction to Population Ecology, New Haven: Yale University Press.

    Google Scholar 

  • Klebanoff, A. and A. Hastings (1994a). Chaos in one-predator, two-prey models: General results from bifurcation theory. Mathematical Biosciences. 122, 221–233.

    Article  MathSciNet  Google Scholar 

  • Klebanoff, A. and A. Hastings (1994b). Chaos in three-species food chain. J. Math. Biol. 32, 427–451.

    Article  MathSciNet  Google Scholar 

  • Kooi, B. W., M. P. Boer and S. A. L. M. Kooijman (1997). Mass balance equation versus logistic equation in food chains. J. Biol. Systems. 5, 77–85.

    Article  Google Scholar 

  • Kooi, B. W. and S. A. L. M. Kooijman (1994). Existence and stability of microbial prey-predator systems. J. theor. Biol. 170, 75–85.

    Article  Google Scholar 

  • Kooi, B. W. and S. A. L. M. Kooijman (1995). Many limiting behaviour in microbial food chains, in Mathematical Population Dynamics: Analysis of Heterogeneity, Arino O., Axelrod D. and Kimmel M. (Eds), Winnipeg, Canada: Wuerz, vol. 2, pp. 131–148.

    Google Scholar 

  • Kuno, E. (1991). Some strange properties of the logistic equations defined with r and K: Inherent defects or artifacts? Researches on Population Ecology. 33, 33–39.

    Google Scholar 

  • Kuznetsov, Y. A. and S. Rinaldi (1996). Remarks on food chain dynamics. Mathematical Biosciences. 124, 1–33.

    Article  MathSciNet  Google Scholar 

  • May, R. M. (1976). Theoretical Ecology, Principles and Applications, Philadelphia: Saunders.

    Google Scholar 

  • McCann, K. and P. Yodzis (1994). Biological conditions for chaos in a tree-species food chain. Ecology. 75, 561–564.

    Article  Google Scholar 

  • McCann, K. and P. Yodzis (1995). Bifurcation structure of a tree-species food chain model. Theor. Pop. Biol. 48, 93–125.

    Article  Google Scholar 

  • Nisbet, R. M., E. McCauley, A. M. de Roos, W. W. Murdoch and W. S. C. Gurney (1991). Population dynamics and element recycling in an aquatic plant-herbivore system. Theoretical Population Biology. 40, 125–147.

    Article  Google Scholar 

  • Pielou, E. C. (1977). Mathematical Ecology, New York: John Wiley.

    Google Scholar 

  • Schoener, T. W. (1973). Population growth regulated by intraspecific competition for energy of time: Some simple representations. Theo. Pop. Biol. 4, 56–84.

    Article  MATH  Google Scholar 

  • Smith, H. L. and P. Waltman (1994). The Theory of the Chemostat. Cambridge: Cambridge University Press.

    Google Scholar 

  • Waltman, P. (1983). Competition Models in Population Biology vol. 45, Philadelphia: Society for Industrial and Applied Mathematics.

    Google Scholar 

  • Williams, F. M. (1967). A model of cell growth dynamics. J. theor. Biol. 15, 190–207.

    Article  Google Scholar 

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Kooi, B.W., Boer, M.P. & Kooijman, S.A.L.M. On the use of the logistic equation in models of food chains. Bull. Math. Biol. 60, 231–246 (1998). https://doi.org/10.1006/bulm.1997.0016

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  • DOI: https://doi.org/10.1006/bulm.1997.0016

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