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Multivariate Analysis of Ecological Data using CANOCO
     

Multivariate Analysis of Ecological Data using CANOCO

by Jan Leps, Petr Smilauer
 

ISBN-10: 052181409X

ISBN-13: 9780521814096

Pub. Date: 06/30/2003

Publisher: Cambridge University Press

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.

Overview

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 of statistical hypotheses about 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 utilize both the descriptive and manipulative approaches, and they are supported by data sets and project files available from the book website.

About the Author:
Jan Leps is Professor of Ecology in the Department of Botany at the University of South Bohemia, and in the Institute of Entomology at the Czech Academy of Sciences, Czech Republic

About the Author:
Petr Smilauer is Lecturer in Multivariate Statistics at the University of South Bohemia, Czech Republic

Product Details

ISBN-13:
9780521814096
Publisher:
Cambridge University Press
Publication date:
06/30/2003
Pages:
282
Product dimensions:
7.00(w) x 9.90(h) x 0.70(d)

Table of 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.

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