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Chaos in Real Data

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. Read more Read less.


  • Frontiers | Dynamic Complexity in Exploited Marine Ecosystems | Ecology and Evolution;
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Product details Paperback: pages Publisher: Springer; Softcover reprint of the original 1st ed. No customer reviews.


  • Chaos (Stanford Encyclopedia of Philosophy).
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Though detectable in principle, nonlinear behavior is often difficult to characterize, analyze, and incorporate mechanistically into models of ecosystem function. One obvious reason is that quantitative nonlinear analysis tools are data intensive require long time series , and time series in ecology are generally short.

Introduction to Nonlinear Dynamics

Here we demonstrate a useful method that circumvents data limitation and reduces sampling error by combining ecologically similar multispecies time series into one long time series. With this technique, individual ecological time series containing as few as 20 data points can be mined for such important information as 1 significantly improved forecast ability, 2 the presence and location of nonlinearity, and 3 the effective dimensionality the number of relevant variables of an ecological system.

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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