Functional and Phylogenetic Ecology in R

  • Nathan G. Swenson

Part of the Use R! book series (USE R)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Nathan G. Swenson
    Pages 1-7
  3. Nathan G. Swenson
    Pages 9-25
  4. Nathan G. Swenson
    Pages 27-55
  5. Nathan G. Swenson
    Pages 57-83
  6. Nathan G. Swenson
    Pages 85-108
  7. Nathan G. Swenson
    Pages 109-146
  8. Nathan G. Swenson
    Pages 147-171
  9. Back Matter
    Pages 203-212

About this book


Functional and Phylogenetic Ecology in R is designed to teach readers to use R for phylogenetic and functional trait analyses. Over the past decade, a dizzying array of tools and methods were generated to incorporate phylogenetic and functional information into traditional ecological analyses. Increasingly these tools are implemented in R, thus greatly expanding their impact. Researchers getting started in R can use this volume as a step-by-step entryway into phylogenetic and functional analyses for ecology in R. More advanced users will be able to use this volume as a quick reference to understand particular analyses. The volume begins with an introduction to the R environment and handling relevant data in R. Chapters then cover phylogenetic and functional metrics of biodiversity; null modeling and randomizations for phylogenetic and functional trait analyses; integrating phylogenetic and functional trait information; and interfacing the R environment with a popular C-based program. This book presents a unique approach through its focus on ecological analyses and not macroevolutionary analyses. The author provides his own code, so that the reader is guided through the computational steps to calculate the desired metrics. This guided approach simplifies the work of determining which package to use for any given analysis. Example datasets are shared to help readers practice, and readers can then quickly turn to their own datasets.


Ecological Analyses Ecology Functional Trait Analysis Phylogenetics in R Phylogeny R

Authors and affiliations

  • Nathan G. Swenson
    • 1
  1. 1.Assistant Professor of Plant BiologyMichigan State UniversityEast LansingUSA

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media New York 2014
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-1-4614-9541-3
  • Online ISBN 978-1-4614-9542-0
  • Series Print ISSN 2197-5736
  • Series Online ISSN 2197-5744
  • Buy this book on publisher's site