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OverviewChaos 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. Full Product DetailsAuthor: J.N. Perry , R.H. Smith , I.P. Woiwod , D.R. MorsePublisher: Springer Imprint: Springer Edition: Softcover reprint of the original 1st ed. 2000 Volume: 27 Dimensions: Width: 15.50cm , Height: 1.30cm , Length: 23.50cm Weight: 0.379kg ISBN: 9789401057721ISBN 10: 9401057729 Pages: 226 Publication Date: 12 October 2012 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of Contents1 Defining chaos for real, noisy data: local Lyapunov exponents and sensitive response to perturbations.- 2 Modelling time-series data.- 3 Measles as a testbed for characterising nonlinear behaviour in ecology.- 4 Population dynamics of small rodents in northern Fennoscandia.- 5 Analysis of population fluctuations in the aphid Hyperomyzus lactucae and the moth Perizoma alchemillata.- 6 One, two and three-species time series from a host-pathogen-parasitoid system.- 7 Blowflies as a case study in non-linear population dynamics.- 8 Overview.- 9 A glossary of terms used in nonlinear dynamics.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |