Journal of Mathematical Biology

, Volume 27, Issue 2, pp 117–138 | Cite as

Invasibility and stochastic boundedness in monotonic competition models

  • P. L. Chesson
  • S. Ellner
Article

Abstract

We give necessary and sufficient conditions for stochastically bounded coexistence in a class of models for two species competing in a randomly varying environment. Coexistence is implied by mutual invasibility, as conjectured by Turelli. In the absence of invasibility, a species converges to extinction with large probability if its initial population is small, and extinction of one species must occur with probability one regardless of the initial population sizes. These results are applied to a general symmetric competition model to find conditions under which environmental fluctuations imply coexistence or competitive exclusion.

Key words

Invasibility Stochastic boundedness Competition Coexistence Competitive exclusion 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Abrams, P.: Variability in resource consumption rates and the coexistence of competing species. Theor. Popul. Biol. 25, 106–124 (1984)Google Scholar
  2. Billingsley, P.: Convergence of probability measures. New York: Wiley 1968Google Scholar
  3. Billingsley, P.: Weak convergence of measures: applications in probability. CBMS-NSF Regional Conference Series in Applied Mathematics 5. Society for Industrial and Applied Mathematics, Philadelphia, Pennsylvania (1971)Google Scholar
  4. Breiman, L.: Probability. Menlo Park: Addison-Wesley 1968Google Scholar
  5. Chesson, P. L.: Predator-prey theory and variability. Annu. Rev. Ecol. Syst. 9, 323–347 (1978)Google Scholar
  6. Chesson, P. L.: The stabilizing effect of a random environment. J. Math. Biol. 15, 1–36 (1982)Google Scholar
  7. Chesson, P. L.: Coexistence of competitors in a stochastic environment: the storage effect. In: Freedman, H. I., Strobeck, C.: (eds.) Population biology (Lect. Notes Biomath., vol. 52, pp. 188–198) Berlin Heidelberg New York Tokyo: Springer 1983Google Scholar
  8. Chesson, P. L.: The storage effect in stochastic population models. In: Levin, S. A., Hallam, T. G.: (eds.) Mathematical ecology: Trieste Proceedings (Lect. Notes Biomath., vol. 54, pp. 76–89) Berlin Heidelberg New York Tokyo: Springer 1984Google Scholar
  9. Chesson, P. L.: Environmental variation and the coexistence species. In: Case, T., Diamond, J.: (eds.) Community Ecology, pp. 240–256. New York: Harper and Row 1986Google Scholar
  10. Chesson, P. L.: Interactions between environment and competition: how fluctuations mediate coexistence and competitive exclusion. In: Hastings, A.: (ed.) Community ecology (Lect. Notes Biomath., vol. 77) Berlin Heidelberg New York Tokyo: Springer: 1988Google Scholar
  11. Connell, J. H., Sousa, W. P.: On the evidence needed to judge ecological stability or persistence. Am. Nat. 121, 789–824 (1983)Google Scholar
  12. Ellner, S. P.: Asymptotic behavior of some stochastic difference equation population models. J. Math. Biol. 19, 169–200 (1984)Google Scholar
  13. Ellner, S.: ESS germination strategies in randomly varying environments. I. Logistic-type models. Theor. Popul. Biol. 28, 50–79 (1985)Google Scholar
  14. Ellner, S.: ESS germination strategies in randomly varying environments. II. Reciprocal-yield laws. Theor. Popul. Biol. 28, 80–116 (1985)Google Scholar
  15. Ellner, S.: Alternate plant life history strategies and coexistence in randomly varying environments. Vegetatio 69, 199–208 (1987)Google Scholar
  16. Grubb, P. J.: The maintenance of species richness in plant communities: the regeneration niche. Biol. Rev. 52, 107–145 (1977)Google Scholar
  17. May, R. M.: On the theory of niche overlap. Theor. Popul. Biol. 5, 297–332 (1974)Google Scholar
  18. May, R. M. (ed.): Theoretical ecology: principles and applications, 2nd edn. Boston: Blackwell 1981Google Scholar
  19. Murdoch, W. W., Chesson, J., Chesson, P. L.: Biological control in theory and practice. Am. Nat. 125, 344–366 (1985)Google Scholar
  20. Norman, F.: An ergodic theorem for evolution in a random environment. J. Appl. Probab. 12, 661–672 (1976)Google Scholar
  21. Prout, T.: The delayed effect on fertility of preadult competition: two-species population dynamics. Am. Nat. 127, 809–818 (1986)Google Scholar
  22. Prout, T., McChesney, F.: Competition among immatures affects their adult fertility: population dynamics. Am. Nat. 126, 521–558 (1985)Google Scholar
  23. Sale, P. F.: Maintenance of high diversity in coral reef fish communities. Am. Nat. 111, 337–359 (1977)Google Scholar
  24. Schaffer, W., Ellner, S., Kot, M.: The effects of noise on some dynamical models in ecology. J. Math. Biol. 24, 479–524 (1986)Google Scholar
  25. Schaffer, W. M., Kot, M.: Chaos in ecological systems: the coals that Newcastle forgot. Trends Ecol. Evol. 1, 58–63 (1986)Google Scholar
  26. Shmida, A., Ellner, S.: Coexistence of plant species with similar niches. Vegetatio 58, 29–55 (1985)Google Scholar
  27. Slatkin, M.: The dynamics of a population in a Markovian environment. Ecology 59, 249–256 (1978)Google Scholar
  28. Strong, D. R.: Density vagueness: abiding the variance in the dynamics of real populations. In: Diamond, J., Case, T. (eds.) Community ecology, pp. 257–268. New York: Harper and Row 1986Google Scholar
  29. Tanner, J. T.: The stability and intrinsic growth rates of prey and predator populations. Ecology 56, 855–867 (1975)Google Scholar
  30. Turelli, M.: Random environments and stochastic calculus. Theor. Popul. Biol. 13, 140–178 (1977)Google Scholar
  31. Turelli, M.: Does environmental variability limit niche overlap? Proc. Natl. Acad. Sci. USA 75, 5085–5089 (1978)Google Scholar
  32. Turelli, M.: Niche overlap and invasion of competitors in random environments. II. The effects of demographic stochasticity. In: Jager et al.: (eds.) Biological growth and spread, mathematical theories and applications, pp. 119–129 (1980)Google Scholar
  33. Turelli, M.: Niche overlap and invasion of competitors in random environments I. Models without demographic stochasticity. Theor. Popul. Biol. 20, 1–56 (1981)Google Scholar
  34. Turelli, M., Gillespie, J. H.: Conditions for the existence of stationary densities for some two dimensional diffusion processes with applications in population biology. Theor. Popul. Biol. 17, 167–189 (1980)Google Scholar
  35. Underwood, A. J., Denley, E. L.: Paradigms, explanations, and generalizations in models for the structure of intertidal communities on rocky shores. In: Strong, D. R. Jr., Simberloff, D., Abele, L. G., Thistle, A. B.: (eds.) Ecological communities: conceptial issues and the evidence, pp. 151–180. Princeton: Princeton University Press 1984Google Scholar

Copyright information

© Springer-Verlag 1989

Authors and Affiliations

  • P. L. Chesson
    • 1
  • S. Ellner
    • 2
  1. 1.Department of ZoologyOhio State UniversityColumbusUSA
  2. 2.Biomathematics Graduate Program, Department of StatisticsNorth Carolina State UniversityRaleighUSA

Personalised recommendations