Petr SmilauerCambridge University PressEdition: 2, 4/17/2014EAN 9781107694408, ISBN10: 110769440XPaperback, 374 pages, 24.4 x 17 x 2.2 cmLanguage: EnglishThis 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.Preface1. Introduction and data types2. Using Canoco 53. Experimental design4. Basics of gradient analysis5. Permutation tests and variation partitioning6. Similarity measures and similarity-based methods7. Classification methods8. Regression methods9. Interpreting community composition with functional traits10. Advanced use of ordination11. Visualising multivariate data12. Case study 1variation in forest bird assemblages13. Case study 2search for community composition patterns and their environmental correlatesvegetation of spring meadows14. Case study 3separating the effects of explanatory variables15. Case study 4evaluation of experiments in randomised complete blocks16. Case study 5analysis of repeated observations of species composition from a factorial experiment17. Case study 6hierarchical analysis of crayfish community variation18. Case study 7analysis of taxonomic data with linear discriminant analysis and distance-based ordination methods19. Case study 8separating effects of space and environment on oribatid community with PCNM20. Case study 9performing linear regression with redundancy analysisAppendix A. GlossaryAppendix B. Sample data sets and projectsAppendix C. Access to Canoco and overview of other softwareAppendix D. Working with RReferencesIndex to useful tasks in Canoco 5Index.
