Titlebook: Chaos in Real Data; The Analysis of Non- Joe N. Perry,Robert H. Smith,David R. Morse Book 2000 Springer Science+Business Media Dordrecht 20

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Analysis of Population Fluctuations in the Aphid , and the Moth ,,icular dynamics from such relatively long-term field data from standard samples then perhaps the methods will prove of little practical significance to insect time-series obtained outside controlled laboratory conditions.

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One, Two and Three-Species Time Series from a Host-Pathogen-Parasitoid System,y of ecological concepts and techniques is unable to forge an understanding of these data, what hope is there for an understanding of more complex, unreplicated and less controlled data from the field?

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Book 2000ce methodology andmechanistic mathematical modelling, are applied to several casestudies. Experts honestly appraise how well these methods haveperformed on their data. The accessible style of the book ensures itsreadability for non-quantitative biologists. The data remainavailable, as benchmarks for future study, on the worldwide web.

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Defining Chaos for Real, Noisy Data: Local Lyapunov Exponents and Sensitive Response to Perturbatiofrom one year to the next by factors of up to 333 in plants, 591 in marine invertebrates, 38 in terrestrial vertebrates and 2200 in birds; that of dormant propagules (seeds or eggs) varied by up to 1150 in plants and 31,600 in terrestrial insects. The optimistic hypothesis that all of this could be

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Modelling Time-Series Data,approaches to elucidating these mechanisms: recording and analyzing patterns of temporal fluctuations, constructing mathematical models, and performing experiments. When investigating a specific ecological system (or systems) all three approaches should ideally be linked together, because they provi