352 pages, b/w photos, b/w illustrations, tables
The 3rd edition of this popular textbook introduces the reader to the investigation of vegetation systems with emphasis on data analysis. Data Analysis in Vegetation Ecology briefly illustrates the various paths leading to high quality data suitable for pattern recognition, pattern testing, static and dynamic modelling and model testing including spatial and temporal aspects of ecosystems. Step-by-step introductions using small examples lead to more demanding approaches illustrated by real world examples aimed at explaining interpretations. All data sets and examples described in Data Analysis in Vegetation Ecology are available written in the statistical package R.
Review of a previous edition:
"This book will be a valuable addition to the shelves of early postgraduate candidates and postdoctoral researchers. Through the excellent background material and use of real world examples, Wildi has taken the fear out of trying to understand these much needed data analysis techniques in vegetation ecology."
– Austral Ecology
2: Patterns in vegetation ecology
4: Multivariate comparison
7: Ecological patterns
8: Traits and Indicators
9: Static predictive modelling
10: Vegetation change in time
11: Dynamic modelling
12: Revising classifications
13: Swiss forests: a case study
14: Back to the roots?
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Otto Wildi is from the WSL Swiss Federal Institute for Forest, Snow and Landscape Research, Birmensdorf, Switzerland.