ENGLISH

Chaos in Real Data: The Analysis of Non-Linear Dynamics from Short Ecological Time Series

By Stephen P. Ellner (auth.) , Joe N. Perry , Robert H. Smith , Ian P. Woiwod , David R. Morse (eds.)

Book information

Publisher
Springer Netherlands
Year
2000
ISBN
978-94-010-5772-1, 978-94-011-4010-2
DOI
10.1007/978-94-011-4010-2
Language
english
Format
PDF
Filesize
7 MB (7333342 bytes)
Series
Population and Community Biology Series 27
Edition
1
Pages
226\238
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
Evolutionary Biology; Ecology; Mathematical and Cogeneral

Description

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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