Skip to main content

Part of the book series: Texts in Applied Mathematics ((TAM,volume 10))

  • 3245 Accesses

Abstract

Knowing about how populations live and respond to external signals is important in a society where government, economics and commerce are based on population projections and descriptions; and in medicine, science, and agriculture, where cell populations are targets for the treatment of diseases and for production in biotechnology. We study here two important realms of biology: microbial populations and animal populations. Mathematical aspects of all population phenomena usually involve descriptions of population sizes and ways to extrapolate present knowledge to information about the future, and they involve descriptions of population structures and ways to determine and project them into the future.

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

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 69.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 99.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Annotated References

  • Escherechia Coli and Salmonella (Neidhardt, et al., eds.): Amer. Soc. Microbiol., Washington, 1994.

    Google Scholar 

  • Gerhardt, P., et al.: Manual of Methods for General Bacteriology, Am. Soc. Microbiol., Washington, 1981.

    Google Scholar 

  • Keyfitz, N., and Flieger, W.: Populations: Fact and Methods of Demography, W.H. Freeman, San Francisco. 1971.

    Google Scholar 

  • Hoppensteadt, F.C.: Mathematical Methods of Population Biology. Cambridge University Press, 1982.

    Google Scholar 

  • Hoppensteadt, F.C.: Mathematical Theories of Populations: Demographics, Genetics, and Epidemics, SIAM Publics, Philadelphia, 1975.

    Book  MATH  Google Scholar 

  • Clark, C.W.: Bioeconomics: Modeling and Fishery Management. Wiley-Inter science. New York, 1985.

    Google Scholar 

  • Smith, H., Waltman, P.: The Mathematical Theory of Chemostats, Cambridge University Press, 1997.

    Google Scholar 

  • Feller, W.: The Theory of Probability and its Applications, J. Wiley, New York, 1969.

    Google Scholar 

  • Gleick, J.: Chaos: The Making of a New Science, Viking Press, New York, 1987

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer-Verlag New York, Inc.

About this chapter

Cite this chapter

Hoppensteadt, F.C., Peskin, C.S. (2002). Population Dynamics. In: Modeling and Simulation in Medicine and the Life Sciences. Texts in Applied Mathematics, vol 10. Springer, New York, NY. https://doi.org/10.1007/978-0-387-21571-6_8

Download citation

  • DOI: https://doi.org/10.1007/978-0-387-21571-6_8

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4419-2871-9

  • Online ISBN: 978-0-387-21571-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics