Trait-based ecology tools in R

The R materials provided in this page include: (1) the reference manual (in either pdf or html) and (2) all the data necessary to run the examples included in the manual ("data.zip"). This data is divided into the different chapters composing the R material and the reference textbook.Functional ecology is the branch of ecology that focuses on various functions that species play in the community or ecosystem in which they occur. The present R material is accompanying the book “Handbook of trait-based ecology: from theory to R tools” (Cambridge University Press) (https://www.cambridge.org/core/books/handbook-of-traitbased-ecology/D79AC6C55CA7D3977AD297ED30A38EF0 ) which offers the main concepts and tools in trait-based ecology, and their tricks, covering different trophic levels and organism types. The book, and this accompanying R material, are designed for students, researchers and practitioners who wish to get a handy synthesis of existing concepts, tools and trends in trait-based ecology, and wish to apply it to their own field of interest. For 9 of the 12 chapters of the book, specific R material is presented here. Exercises specifically designed to be run in R, are included, along with accompanying on-line resources including solutions for exercises and R functions, and updates reflecting current developments in this fast-changing field. This R material includes different type of indices of biodiversity and the typical toolbox for a functional ecologist. Based on more than a decade of teaching experience, the authors developed and improved the way theoretical aspects and analytical tools of trait-based ecology are best explained and introduced to readers.Composing this handbook has been made possible by the support of many institutions, including the Spanish National Research Council (CSIC), the University of South Bohemia (USB), the Institute of Botany of the Czech Academy of Sciences (IBOT), the Vrije Universiteit Amsterdam, the Groningen institute of Evolutionary Life Sciences, the University of Tartu (UT), the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL) and the Federal University of Rio de Janeiro (UFRJ).Ch1. General introduction.-- Ch2: trait data.-- Ch3: trait dissimilarity.-- Ch4: Multivariate) species levelresponses.-- Ch5: community weighted mean (CWM) and functional diversity (FD).-- Ch6: intraspecific trait variability.-- Ch7: null models.-- Ch8: traits and phylogeny.-- Ch9: linking traits to ecosystem functions.-- Ch10: raits and trophicinteractionsN