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.... next 22 columns (SI to SDL/2) contain various types of measurements taken mostly on the flowers or on the bracts, which are parts of the inflorescence. ... Keep the default settings for the other options, up to the Forward selection page, where you should specify the Manual selection option. Make sure that the use of Monte Carlo Forward Selection Step The variables selected so fat explain 0.000 246 17.
|Title||:||Multivariate Analysis of Ecological Data Using CANOCO|
|Author||:||Jan Lepš, Petr Šmilauer|
|Publisher||:||Cambridge University Press - 2003-05-29|