Bulletin of Mathematical Biology

, Volume 49, Issue 4, pp 495–506 | Cite as

Logistic population growth under random dispersal

  • Henry C. Tuckwell
  • James A. Koziol
Article

Abstract

Various diffusion processes employed for modelling logistic growth are briefly summarized. A discrete-time, discrete-state space stochastic process for population growth is proposed and analyzed with either Bose-Einstein or Maxwell-Boltzmann statistics for the distribution of offspring in available sites in a restricted region. A diffusion approximation is constructed, which differs from those previously employed. The logistic law is a natural deterministic analog of the diffusion process.

Keywords

Diffusion Approximation Logistic Growth Random Dispersal Exit Boundary Scripps Clinic 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Literature

  1. Capocelli, R. M. and L. M. Ricciardi. 1974. “Growth with Regulation in Random Environment.”Kybernetik 15, 147–157.MATHCrossRefGoogle Scholar
  2. Darling, D. A. and A. J. F. Siegert. 1953. “The First Passage Problem for a Continuous Markov Process.”Ann. Math. Statist. 24, 624–639.MATHMathSciNetGoogle Scholar
  3. Feldman, M. W. and J. Roughgarden. 1975. “A Population's Stationary Distribution and Chance of Extinction in a Stochastic Environment with Remarks on the Theory of Species Packing.”Theor. popul. Biol. 7, 197–207.MATHMathSciNetCrossRefGoogle Scholar
  4. Feller, W. 1939a. “On the Logistic Law of Growth and its Empirical Verifications in Biology.Acta Biotheor. 5, 51–66.CrossRefGoogle Scholar
  5. — 1939b. “Die Grundlagen der Volterraschen Theorie des Kampfes ums Dasein in Wahrscheinlichkeitstheoretischer Behandlung.Acta Biotheor. 5, 11–40.MATHMathSciNetCrossRefGoogle Scholar
  6. — 1952. “The Parabolic Differential Equations and the Associated Semigroups of Transformations.”Ann. Math. 55, 468–519.MATHMathSciNetCrossRefGoogle Scholar
  7. — 1968.Introduction to Probability Theory and Its Applications, Vol. 1. New York: John Wiley.MATHGoogle Scholar
  8. Goel, N. S., S. C. Maitra and E. W. Montroll. 1971. “On the Volterra and Other Nonlinear Models of Interacting Populations.”Rev. mod. Phys. 43, 231–276.MathSciNetCrossRefGoogle Scholar
  9. Hutchinson, G. E. 1978.An Introduction to Population Ecology. New Haven: Yale University Press.MATHGoogle Scholar
  10. Jazwinski, A. H. 1970.Stochastic Processes and Filtering Theory. New York: Academic Press.MATHGoogle Scholar
  11. Jensen, A. L. 1975. “Comparison of Logistic Equations for Population Growth.”Biometrics 31, 853–862.MATHCrossRefGoogle Scholar
  12. Johannesma, P. I. M. 1968. “Diffusion Models for the Stochastic Activity of Neurons.” InNeural Networks, E. R. Caianiello (Ed.), Berlin: Springer-Verlag.Google Scholar
  13. Kimura, M. 1964. “Diffusion Models in Population Genetics.”J. appl. Prob. 1, 177–232.MATHCrossRefGoogle Scholar
  14. Koziol, J. A. and H. C. Tuckwell. 1986. “Population Projections for Australia and New Zealand by the Logistic Method.N. Z. Statistician 21, 35–40.Google Scholar
  15. Kurtz, T. G. 1981a. “Approximation of Discontinuous Processes by Continuous Processes.” InStochastic Nonlinear Systems, L. Arnold and R. Lefever (Eds), Berlin: Springer.Google Scholar
  16. — 1981b.Approximation of Population Processes. Philadelphia: SIAM.Google Scholar
  17. Leach, D. 1981. “Re-evaluation of the Logistic Curve for Human Populations.”J. R. statist. Soc. A,144, 94–103.CrossRefGoogle Scholar
  18. Levins, R. 1969. “The Effect of Random Variations of Different Types on Population Growth.”Proc. natn. Acad. Sci. U.S.A. 62, 1061–1065.MathSciNetCrossRefGoogle Scholar
  19. Lotka, A. J. 1925.Elements of Physical Biology, Baltimore: Williams and Wilkins.MATHGoogle Scholar
  20. Ludwig, D. 1975. “Perststence of Dynamical Systems under Random Perturbations.”SIAM Rev. 17, 605–640.MATHMathSciNetCrossRefGoogle Scholar
  21. — 1976. “A Singular Perturbation Problem in the Theory of Population Extinction.” InProceedings of AMS Conference on Asymptotic Methods and Singular Perturbations. New York: AMS.Google Scholar
  22. May, R. M. 1973.Stability and Complexity in Model Ecosystems. Princeton, NJ: Princeton University Press.Google Scholar
  23. Pearl, R. 1924.Studies in Human Biology. Baltimore.Google Scholar
  24. — and L. J. Reed. 1920. “On the Rate of Growth of the Population of the United States since 1790 and its Mathematical Representation.”Proc. natn. Acad. Sci. U.S.A. 6, 275–288.CrossRefGoogle Scholar
  25. Prajnesh. 1980. “Time-dependent Solution of the Logistic Model for Population Growth in Random Environment.”J. appl. Prob. 17, 1083–1086.CrossRefGoogle Scholar
  26. Rao, C. R. 1973.Linear Statistical Inference and its Applications, 2nd Edition. New York: John Wiley.MATHGoogle Scholar
  27. Skellam, J. G. 1951. “Random Dispersal in Theoretical Populations.”Biometrika 38, 196–218.MATHMathSciNetCrossRefGoogle Scholar
  28. Tuckwell, H. C. 1974. “A Study of some Diffusion Models of Population Growth.”Theor. popul. Biol. 5, 345–357.MATHCrossRefGoogle Scholar
  29. Tuckwell, H. C. 1987. “Diffusion Approximations to Channel Noise.”J. theor. Biol. In press.Google Scholar
  30. — and D. K. Cope. 1980. “Accuracy of Neuronal Interspike Times Calculated from a Diffusion Approximation.”J. theor. Biol. 83, 377–387.CrossRefGoogle Scholar
  31. Verhulst, P. F. 1838. “Notice sur la Loi que la Population suit dans son Accroissement.”Cor mathematique et physique 10, 113–121.Google Scholar
  32. Yule, G. U. 1925. “The Growth of Population and the Factors which Control it.”J. R. statist. Soc. 38, 1–58.Google Scholar

Copyright information

© Society for Mathematical Biology 1987

Authors and Affiliations

  • Henry C. Tuckwell
    • 1
  • James A. Koziol
    • 2
  1. 1.Department of MathematicsMonash UniversityClaytonAustralia
  2. 2.Department of Basic and Clinical ResearchResearch Institute of Scripps ClinicLa JollaU.S.A.

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