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Biological Cycles and the Fivefold Way

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Differential Equation Models

Part of the book series: Modules in Applied Mathematics ((MAM))

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Abstract

One of the more curious natural phenomena is the regular periodic variation in the populations of certain interacting species, a variation which does not correlate with known periodic external forces such as the cycles of darkness and light, the seasons, or weather cycles. Most commonly, these species are involved in a predator-prey relationship. The phenomenon has been observed in the microcosm of a laboratory culture (paramecium aurelia (predator) and saccharomyces exiguus (prey)—see D’Ancona [11]) and in the macrocosm of the Canadian coniferous forests (Canadian lynx (predator) and snowshoe hare (prey)—see Keith [17]). Other examples include the budworm-larch tree cycle in the Swiss Alps [2] and a lemming-vegetation cycle in Scandinavia [19]. We shall discuss only the lynx-hare cycle, but the mathematical models we shall develop are in principle applicable to any predator-prey interaction. In the course of our analysis we shall study the equilibria of coupled differential systems and the possible limit behavior of bounded orbits of such systems. This will all then be applied to the question of the existence of cycles in a predator-prey system.

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References

  1. F. Albrecht, H. Gatzke, A. Haddad and N. Wax, “The dynamics of two interacting populations,” J. Math. Anal.Applic., vol. 46, pp. 658–670, 1974. This is the definitive mathematical treatment of systems of the form of (15) under various pertinent hypotheses of f and g. Contains almost none of the biological or ecological interpretations. A brief bibliography is included.

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  2. W. Baltensweiler, “The cyclic population dynamics of the Grey Larch Tortix, Zeiraphera Griseana Hübner,” in Insect Abundance, edited by T.R.E. Southwood, Ed. Oxford: Blackwell, pp. 88–97.

    Google Scholar 

  3. W. E. Boyce and R. C. DiPrima, Elementary Differential Equations and Boundary Value Problems, 2nd ed. New York: Wiley, 1969. A very good book at the sophomore-junior level, with applications.

    MATH  Google Scholar 

  4. C. J. Brand, L. B. Keith and C. A. Fischer, “Lynx responses to changing snow-shoe hare densities in central Alberta,” J. Wildlife Management, 40 (3), vol. 40, no. 3, pp. 416–428, 1976. Continuation over the winters of 1971–1975 of field studies begun earlier [25]. Field data shows the complexities of the lynx-hare interaction.

    Article  Google Scholar 

  5. M. Braun, Differential Equations and Their Applications, 2nd ed. New York: Springer-Verlag, 1978. This is one of the best books on the sophomore level; the presentation of the applications is especially good.

    Book  Google Scholar 

  6. —, “Why the percentage of sharks caught in the Mediterranean Sea rose dramatically during World War I,” this volume, ch. 15. This is a slight alteration of [5, Section 4.9] and contains a good exposition of the Lotka-Volterra model.

    Google Scholar 

  7. M. G. Bulmer, “A statistical analysis of the 10-year cycle in Canada,” J.Anim. Ecol., vol. 43, pp. 701–718, 1971. A very interesting statistical analysis of the lynx-hare and several other 10-year cycles in the Canadian forests. Discusses 8-year cycles in the Siberian taiga. A very good bibliography.

    Article  Google Scholar 

  8. —, “The theory of prey-predator oscillations,” Theoret. Pop. Bio., vol. 9, pp. 137–150, 1976. Further arguments that the hare cycle [cause unknown] drives the other cycles in the Canadian woods. Discussion of Kolmogorov’s Theorem.

    Google Scholar 

  9. E. A. Coddington and N. Levinson, Theory of Ordinary Differential Equations. New York: McGraw-Hill, 1955. Remains one of the standard graduate level texts.

    MATH  Google Scholar 

  10. C. S. Coleman, “Quadratic population models: Almost never any cycles,” this volume, ch. 16. Shows that if f and g in (15) are linear, then only “ecologically rare” cases such as the Lotka-Volterra system of Exercise 16 will contain any cycles at all.

    Google Scholar 

  11. U. D’Ancona, The Struggle for Existence Leiden, Brill, 1954. An interesting and readable account by the man who brought the strange increase in the numbers of selachia (sharks, skates, etc.) in the fishing areas of the Meditterranean to the attention of Volterra, who then formulated the first mathematical models of predator-prey species (see Exercise 16).

    Google Scholar 

  12. C. Elton and M. Nicholson, “The ten-year cycle in numbers of lynx in Canada,” J. Anim. Ecol., vol. 11 pp. 215–244, 1942. Contains the data from the records of the Hudson’s Bay Company. A good bibliography of the earlier sources.

    Article  Google Scholar 

  13. J. C. Frauenthal, Introduction to Population Modeling. Birkhäuser, 1980. An outstanding treatment of population modeling. Treats stochastic and time-delay models as well as the deterministic and instantaneous. (In the UMAP Expository Monograph Series.)

    MATH  Google Scholar 

  14. G. F. Gause, The Struggle for Existence. Williams and Wilkins, 1934 (also Dover, 1971, paperback). A fascinating account of predator-préy and competing species relationships.

    Book  Google Scholar 

  15. M. E. Gilpin, “Do hares eat lynx?,” Amer. Naturalist, vol. 107, pp. 727–730, 1973. Gilpin uses the actual data from Elton and Nicholson to find the best-fitting coefficients in his polynomial model and “proves” that the hare must be eating the lynx.

    Article  Google Scholar 

  16. M. Hirsch and S. Smale, Differential Equations, Dynamical Systems, and Linear Algebra. New York: Academic, 1974. A very good treatment from a modern point of view, junior-senior level. Contains a good treatment of population models.

    MATH  Google Scholar 

  17. L. B. Keith, Wildlife’s Ten-Year Cycle. Madison: Univ. of Wisconsin, 1963. A thought-provoking account on a nonmathematical level of the various natural cycles in the vast Canadian forests. Should be read by anyone interested in natural cycles.

    Google Scholar 

  18. A. Kolmogorov, “Sulla Teoria di Volterra della Lotta per l’Esistenza,” G.Ist. Ital. Attuari, vol. 7, pp. 74–80, 1936. Certainly one of the more inaccessible sources. See May [23], Bulmer [8], or Albrecht et al. [1] for discussions of Kolmogorov’s Theorem.

    MATH  Google Scholar 

  19. D. L. Lack, The Natural Regulation of Animal Numbers. Oxford: Clarendon, 1954, pp. 212–217.

    Google Scholar 

  20. E. G. Leigh, “The ecological role of Volterra’s equations,” in Lectures on Mathematics in the Life Sciences, M. Gerstenhaber, Ed. Amer. Math. Soc., 1968, pp. 1–61. Gives a brief history of the equations and then presents Kerner’s statistical approach.

    Google Scholar 

  21. D. A. MacLulich, “Fluctuations in numbers of the varying hare (Lepus Americanus),” Univ of Toronto Studies, Biol. Ser., no. 43, pp. 1–136, 1937. A basic source for the snowshoe hare cycle.

    Google Scholar 

  22. R. M. May, Stability and Complexity in Model Ecosystems. Princeton, NJ: Princeton Univ. Press, 1973. A fascinating and readable account. Excellent bibliography.

    Google Scholar 

  23. —, “Limit cycles in predator-prey communities,” Science, vol. 177, pp. 900–902, 1972. A discussion of Kolmogorov’s theorem. A good bibliography.

    Article  Google Scholar 

  24. J. Maynard Smith, Models in Ecology. Cambridge, 1974. Comparable to May [22]. Very good discussion of models. Good bibliography.

    MATH  Google Scholar 

  25. C. H. Nellis, S. P. Wetmore and L. B. Keith, “Lynx-prey interactions in central Alberta,” J.Wildlife Management, vol. 36, pp. 320–329, 1972. An analysis of the lynx population in a region in Alberta, Canada. The study was quite thorough and was carried out over the winters of 1964–1968. Peripheral studies of the local hare and grouse populations were also made. See also Brand et al. [4].

    Article  Google Scholar 

  26. M. L. Rosenzweig, “Why the prey curve has a hump,” Amer. Natur., vol. 103, pp. 81–87, 1969. An indication that the prey isocline may rise before it falls; argument is based on the data from an actual predator-prey system.

    Article  Google Scholar 

  27. J. Roughgarden, Theory of Population Genetics and Evolutionary Ecology: An Introduction. New York: Macmillan, 1979. A fascinating introduction to biological models. The first third of the book requires only a calculus background. The later chapters take the reader to the edge of current research. Limit cycles, Kolmogorov’s theorem, stochastic models, and much more are all discussed in informal terms.

    Google Scholar 

  28. M.S. Weinstein, “Hares, lynx, and trappers,” Amer. Naturalist, vol. 111, pp. 806–808, 1977. Weinstein claims that the cycles are not real but only reflect the trapping strategies of the hunters.

    Article  Google Scholar 

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© 1983 Springer-Verlag New York Inc.

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Coleman, C.S. (1983). Biological Cycles and the Fivefold Way. In: Braun, M., Coleman, C.S., Drew, D.A. (eds) Differential Equation Models. Modules in Applied Mathematics. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-5427-0_18

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  • DOI: https://doi.org/10.1007/978-1-4612-5427-0_18

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-5429-4

  • Online ISBN: 978-1-4612-5427-0

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