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Chaos in Real Data

The Analysis of Non-Linear Dynamics from Short Ecological Time Series

  • Book
  • © 2000

Overview

Editors:
  1. Joe N. Perry
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  2. Robert H. Smith
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  3. Ian P. Woiwod
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  4. David R. Morse
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Part of the book series: Population and Community Biology Series (PCBS, volume 27)

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-xii
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  2. Defining Chaos for Real, Noisy Data: Local Lyapunov Exponents and Sensitive Response to Perturbations

    • Stephen P. Ellner
    Pages 1-32

  3. Modelling Time-Series Data

    • Peter Turchin, Stephen P. Ellner
    Pages 33-48

  4. Measles as a Testbed for Characterising Nonlinear Behaviour in Ecology

    • Bryan T. Grenfell
    Pages 49-72

  5. Population Dynamics of Small Rodents in Northern Fennoscandia

    • Heikki Henttonen, Ilkka Hanski
    Pages 73-96

  6. Analysis of Population Fluctuations in the Aphid Hyperomyzus Lactucae and the Moth Perizoma Alchemillata

    • Ian P. Woiwod, Peter Rothery, Xilong Zhou
    Pages 97-120

  7. One, Two and Three-Species Time Series from a Host-Pathogen-Parasitoid System

    • Michael Begon, Steven M. Sait, David J. Thompson, Xilong Zhou, Ewen Bell
    Pages 121-136

  8. Blowflies as a Case Study in Non-Linear Population Dynamics

    • Robert H. Smith, Susan Daniels, Ken Simkiss, Ewen Bell, Stephen P. Ellner, M. Bruce Forrest
    Pages 137-172

  9. Overview

    • Joe N. Perry
    Pages 173-190

  10. A Glossary of Terms Used in Nonlinear Dynamics

    • David R. Morse, Joe N. Perry, Robert H. Smith
    Pages 191-218

  11. Back Matter

    Pages 219-226
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Keywords

About this book

Chaos in Real Data studies the range of data analytic techniques available to study nonlinear population dynamics for ecological time series. Several case studies are studied using typically short and noisy population data from field and laboratory. A range of modern approaches, such as response surface methodology and mechanistic mathematical modelling, are applied to several case studies. Experts honestly appraise how well these methods have performed on their data. The accessible style of the book ensures its readability for non-quantitative biologists. The data remain available, as benchmarks for future study, on the worldwide web.

Bibliographic Information

  • Book Title: Chaos in Real Data

  • Book Subtitle: The Analysis of Non-Linear Dynamics from Short Ecological Time Series

  • Editors: Joe N. Perry, Robert H. Smith, Ian P. Woiwod, David R. Morse

  • Series Title: Population and Community Biology Series

  • DOI: https://doi.org/10.1007/978-94-011-4010-2

  • Publisher: Springer Dordrecht

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media Dordrecht 2000

  • Hardcover ISBN: 978-0-412-79690-6Published: 31 May 2000

  • Softcover ISBN: 978-94-010-5772-1Published: 12 October 2012

  • eBook ISBN: 978-94-011-4010-2Published: 06 December 2012

  • Edition Number: 1

  • Number of Pages: XII, 226

  • Topics: Evolutionary Biology, Ecology, Mathematical and Computational Biology, Statistics, general

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