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.