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Multivariate Analysis of Ecological Data using CANOCO 5

2nd Edition

$60.00 ( ) USD

  • Authors:
  • Petr Šmilauer, University of South Bohemia, Czech Republic
  • Jan Lepš, University of South Bohemia, Czech Republic
  • Date Published: April 2014
  • availability: This item is not supplied by Cambridge University Press in your region. Please contact eBooks.com for availability.
  • format: Adobe eBook Reader
  • isbn: 9781139950916
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About the Authors
  • This revised and updated edition focuses on constrained ordination (RDA, CCA), variation partitioning and the use of permutation tests of statistical hypotheses about multivariate data. Both classification and modern regression methods (GLM, GAM, loess) are reviewed and species functional traits and spatial structures analysed. Nine case studies of varying difficulty help to illustrate the suggested analytical methods, using the latest version of Canoco 5. All studies utilise descriptive and manipulative approaches, and are supported by data sets and project files available from the book website: http://regent.prf.jcu.cz/maed2/. Written primarily for community ecologists needing to analyse data resulting from field observations and experiments, this book is a valuable resource to students and researchers dealing with both simple and complex ecological problems, such as the variation of biotic communities with environmental conditions or their response to experimental manipulation.

    • Features nine case studies introducing statistical techniques used in modern ecological research - no background in multivariate statistics required
    • Accompanying webpage with data and corresponding Canoco 5 projects - readers can reproduce all case studies on their own computers
    • Provides guidance on the correct interpretation of ordination diagrams - advanced comments or suggestions are placed into an extensive set of footnotes
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    Customer reviews

    08th Oct 2014 by Mov45

    This is a fantastic book for both beginner and expert multivariate analysis users!!!

    Review was not posted due to profanity

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    Product details

    • Edition: 2nd Edition
    • Date Published: April 2014
    • format: Adobe eBook Reader
    • isbn: 9781139950916
    • contains: 173 b/w illus. 24 tables
    • availability: This item is not supplied by Cambridge University Press in your region. Please contact eBooks.com for availability.
  • Table of Contents

    Preface
    1. Introduction and data types
    2. Using Canoco 5
    3. Experimental design
    4. Basics of gradient analysis
    5. Permutation tests and variation partitioning
    6. Similarity measures and similarity-based methods
    7. Classification methods
    8. Regression methods
    9. Interpreting community composition with functional traits
    10. Advanced use of ordination
    11. Visualising multivariate data
    12. Case study 1: variation in forest bird assemblages
    13. Case study 2: search for community composition patterns and their environmental correlates: vegetation of spring meadows
    14. Case study 3: separating the effects of explanatory variables
    15. Case study 4: evaluation of experiments in randomised complete blocks
    16. Case study 5: analysis of repeated observations of species composition from a factorial experiment
    17. Case study 6: hierarchical analysis of crayfish community variation
    18. Case study 7: analysis of taxonomic data with linear discriminant analysis and distance-based ordination methods
    19. Case study 8: separating effects of space and environment on oribatid community with PCNM
    20. Case study 9: performing linear regression with redundancy analysis
    Appendix A. Glossary
    Appendix B. Sample data sets and projects
    Appendix C. Access to Canoco and overview of other software
    Appendix D. Working with R
    References
    Index to useful tasks in Canoco 5
    Index.

  • Authors

    Petr Šmilauer, University of South Bohemia, Czech Republic
    Petr Šmilauer is Associate Professor of Ecology in the Department of Ecosystem Biology at the University of South Bohemia. His main research interests are: multivariate statistical analysis, modern regression methods, as well as the role of arbuscular mycorrhizal symbiosis in plant communities. He is co-author of the multivariate analysis software Canoco 5, CANOCO for Windows 4.5, CanoDraw, and TWINSPAN for Windows.

    Jan Lepš, University of South Bohemia, Czech Republic
    Jan Lepš 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. His main research interests include: plant community biology, statistical analysis in the field of ecology, as well as the studies of species diversity, the role of functional traits in plant community ecology and ecology of hemiparasitic plants. Together with P. Šmilauer, he regularly offers international courses on multivariate statistics.

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