Multivariate Analysis of Ecological Data using CANOCO

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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

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Editorial Reviews

From the Publisher
"The book is helpful for users interested in analyses of distributions of qualitative variables." Ole Wendroth, University of Kentucky, Vadose Zone Journal

"I sincerely recommend the book to all graduate students and scientists working with ecological data." Écoscience

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Product Details

  • ISBN-13: 9780521814096
  • Publisher: Cambridge University Press
  • Publication date: 6/30/2003
  • Pages: 282
  • Product dimensions: 7.00 (w) x 9.90 (h) x 0.70 (d)

Meet the Author

Dr Jan Leps is Professor of Ecology in the Department of Botany at the University of South Bohemia, Czech Republic.

Dr Petr Smilauer is Lecturer in Multivariate Statistics at the University of South Bohemia, Czech Republic.

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Table of Contents

Preface
1 Introduction and data manipulation 1
2 Experimental design 16
3 Basics of gradient analysis 25
4 Using the Canoco for Windows 4.5 package 43
5 Constrained ordination and permutation tests 60
6 Similarity measures 76
7 Classification methods 96
8 Regression methods 117
9 Advanced use of ordination 140
10 Visualizing multivariate data 149
11 Case study 1: Variation in forest bird assemblages 168
12 Case study 2: Search for community composition patterns and their environmental correlates: vegetation of spring meadows 183
13 Case study 3: Separating the effects of explanatory variables 196
14 Case study 4: Evaluation of experiments in randomized complete blocks 206
15 Case study 5: Analysis of repeated observations of species composition from a factorial experiment 215
16 Case study 6: Hierarchical analysis of crayfish community variation 236
17 Case study 7: Differentiating two species and their hybrids with discriminant analysis 245
App. A Sample datasets and projects 253
App. B: Vocabulary 254
App. C Overview of available software 258
References 262
Index 267
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