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Chaos in Real Data

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

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

Part of the Population and Community Biology Series book series (PCBS, volume 27)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Peter Turchin, Stephen P. Ellner
    Pages 33-48
  3. Heikki Henttonen, Ilkka Hanski
    Pages 73-96
  4. Michael Begon, Steven M. Sait, David J. Thompson, Xilong Zhou, Ewen Bell
    Pages 121-136
  5. Robert H. Smith, Susan Daniels, Ken Simkiss, Ewen Bell, Stephen P. Ellner, M. Bruce Forrest
    Pages 137-172
  6. Joe N. Perry
    Pages 173-190
  7. David R. Morse, Joe N. Perry, Robert H. Smith
    Pages 191-218
  8. Back Matter
    Pages 219-226

About this book

Introduction

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.

Keywords

behavior dynamics ecology population population dynamics

Bibliographic information

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