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Multivariate Analysis of Ecological Data using CANOCO
Jan Leps, Petr Smilauer
Cambridge University Press
May 2003
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Softcover 282 pages 110 line diagrams ISBN 9780521891080
£37.00
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This book is primarily written for ecologists needing to analyse data resulting from field
observations and experiments. It will be particularly useful for students and researchers dealing
with complex ecological problems, such as the variation of biotic communities with
environmental conditions or the response of biotic communities to experimental manipulation.
Following a simple introduction to ordination methods, the text focuses on constrained
ordination methods (RDA, CCA) and the use of permutation tests on statistical hypotheses
of multivariate data. An overview of classification methods, or modern regression methods
(GLM, GAM, loess), is provided and guidance on the correct interpretation of ordination
diagrams is given. Seven case studies of varying difficulty help to illustrate the suggested
analytical methods, using the Canoco for Windows software. The case studies utilise both
the descriptive and manipulative approaches, and they are supported by data sets and
project files available from the book website.
Contents
1. Introduction and data manipulation; 2. Experimental design; 3. Basics of gradient
analysis; 4. Using Canoco; 5. Constrained ordination and permutation tests; 6. Similarity
measures; 7. Classification methods; 8. Regression methods; 9. Advanced use of ordination;
10. Visualising multivariate data; 11. Case study 1: variation in forest bird assemblages; 12.
Case study 2: search for community composition patterns and their environmental correlates:
vegetation of spring meadows; 13. Case study 3: separating the effects of explanatory
variables; 14. Case study 4: evaluation of experiments in randomised complete blocks;
15. Case study 5: analysis of repeated observations of species composition from factorial
experiment; 16. Case study 6: hierarchical analysis of crayfish community variation; 17.
Case study 7: differentiating two species and their hybrids with discriminant analysis.
To find similar publications, click on a keyword below:
Cambridge University Press
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