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Modelling Biological Populations in Space and Time

Modelling Biological Populations in Space and Time


Part of Cambridge Studies in Mathematical Biology

  • Date Published: August 1993
  • availability: Available
  • format: Paperback
  • isbn: 9780521448550

£ 69.99

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About the Authors
  • This volume develops a unifying approach to population studies, emphasising the interplay between modelling and experimentation. Throughout, mathematicians and biologists are provided with a framework within which population dynamics can be fully explored and understood. Aspects of population dynamics covered include birth-death and logistic processes, competition and predator-prey relationships, chaos, reaction time-delays, fluctuating environments, spatial systems, velocities of spread, epidemics, and spatial branching structures. Both deterministic and stochastic models are considered. Whilst the more theoretically orientated sections will appeal to mathematical biologists, the material is presented so that readers with little mathematical expertise can bypass these without losing the main flow of the text.

    • Unifies modelling and experimental approaches to population dynamics
    • Presentation allows readers with little mathematical expertise to skip theoretical chapters without losing the flow of the book
    • New paperback format will put the price within reach of many more potential readers
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    Product details

    • Date Published: August 1993
    • format: Paperback
    • isbn: 9780521448550
    • length: 424 pages
    • dimensions: 227 x 150 x 30 mm
    • weight: 0.597kg
    • availability: Available
  • Table of Contents

    A list of symbols and notation
    1. Introductory remarks
    2. Simple birth-death processes
    3. General birth-death processes
    4. Time-lag models of population growth
    5. Competition processes
    6. Predator-prey processes
    7. Spatial predator-prey systems
    8. Fluctuating environments
    9. Spatial population dynamics
    10. Epidemic processes
    11. Linear and branching architectures
    Author index
    Subject index.

  • Author

    Eric Renshaw, University of Edinburgh

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