Multivariate Analysis of Ecological Data using CANOCO

Jan Lepš; Petr Šmilauer

doi:10.1017/CBO9780511615146

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.

'… an excellent book.'

Source: European Journal of Entomology

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Contents

Frontmatter
pp i-iv
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Contents
pp v-viii
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Preface
pp ix-xii
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1 - Introduction and data manipulation
pp 1-15
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2 - Experimental design
pp 16-24
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3 - Basics of gradient analysis
pp 25-42
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4 - Using the Canoco for Windows 4.5 package
pp 43-59
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5 - Constrained ordination and permutation tests
pp 60-75
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6 - Similarity measures
pp 76-95
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7 - Classification methods
pp 96-116
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8 - Regression methods
pp 117-139
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9 - Advanced use of ordination
pp 140-148
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10 - Visualizing multivariate data
pp 149-167
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11 - Case study 1: Variation in forest bird assemblages
pp 168-182
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12 - Case study 2: Search for community composition patterns and their environmental correlates: vegetation of spring meadows
pp 183-195
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13 - Case study 3: Separating the effects of explanatory variables
pp 196-205
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14 - Case study 4: Evaluation of experiments in randomized complete blocks
pp 206-214
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15 - Case study 5: Analysis of repeated observations of species composition from a factorial experiment
pp 215-235
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16 - Case study 6: Hierarchical analysis of crayfish community variation
pp 236-244
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17 - Case study 7: Differentiating two species and their hybrids with discriminant analysis
pp 245-252
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Appendix A - Sample datasets and projects
pp 253-253
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Appendix B - Vocabulary
pp 254-257
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Appendix C - Overview of available software
pp 258-261
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References
pp 262-266
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Index
pp 267-269
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Multivariate Analysis of Ecological Data using CANOCO

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Contents

Frontmatter
pp i-iv

Contents
pp v-viii

Preface
pp ix-xii

1 - Introduction and data manipulation
pp 1-15

2 - Experimental design
pp 16-24

3 - Basics of gradient analysis
pp 25-42

4 - Using the Canoco for Windows 4.5 package
pp 43-59

5 - Constrained ordination and permutation tests
pp 60-75

6 - Similarity measures
pp 76-95

7 - Classification methods
pp 96-116

8 - Regression methods
pp 117-139

9 - Advanced use of ordination
pp 140-148

10 - Visualizing multivariate data
pp 149-167

11 - Case study 1: Variation in forest bird assemblages
pp 168-182

12 - Case study 2: Search for community composition patterns and their environmental correlates: vegetation of spring meadows
pp 183-195

13 - Case study 3: Separating the effects of explanatory variables
pp 196-205

14 - Case study 4: Evaluation of experiments in randomized complete blocks
pp 206-214

15 - Case study 5: Analysis of repeated observations of species composition from a factorial experiment
pp 215-235

16 - Case study 6: Hierarchical analysis of crayfish community variation
pp 236-244

17 - Case study 7: Differentiating two species and their hybrids with discriminant analysis
pp 245-252

Appendix A - Sample datasets and projects
pp 253-253

Appendix B - Vocabulary
pp 254-257

Appendix C - Overview of available software
pp 258-261

References
pp 262-266

Index
pp 267-269

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Multivariate Analysis of Ecological Data using CANOCO

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