Population and Community Biology

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

By: Joe N. Perry (Editor), Ian P. Woiwod (Editor), David R. Morse (Editor)

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Hardcover | 31 May 2000

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244 Pages

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25.4 x 17.15 x 1.91

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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.

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Non-Fiction Mathematics Probability & Statistics Science Biology, Life Sciences Life Sciences in General Ecological Science Applied Mathematics Evolution

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Published: 12th October 2012

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Foreword
Preface
Defining chaos for real, noisy data: local Lyapunov exponents and sensitive response to perturbations	p. 1
Modelling time-series data	p. 33
Measles as a testbed for characterising nonlinear behaviour in ecology	p. 49
Population dynamics of small rodents in northern Fennoscandia	p. 73
Analysis of population fluctuations in the aphid Hyperomyzus lactucae and the moth Perizoma alchemillata	p. 97
One, two and three-species time series from a host-pathogen-parasitoid system	p. 121
Blowflies as a case study in non-linear population dynamics	p. 137
Overview	p. 173
A glossary of terms used in nonlinear dynamics	p. 191
Table of Contents provided by Blackwell. All Rights Reserved.

Population and Community Biology

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

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

Other Editions and Formats

Paperback

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