Biodiversity and Biogeographic Patterns in Asia-Pacific Region I: Statistical Methods and Case Studies

Biodiversity and Biogeographic Patterns in Asia-Pacific Region I: Statistical Methods and Case Studies

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This brief book is dedicated to the quantitative analyses and systematic discussion of spatial biodiversity and biogeographic patterns in the Asia‐pacific region comprised of China, India and ...
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Multiple-Site Beta Diversity Methods with an Introduction of R Package “MBI”

Pp. 25-32 (8)

Youhua Chen

Abstract

In this chapter, different multiple-site beta diversity metrics (totally 21 metrics) were introduced and calculated by using a R package “MBI”, which was developed by the author of the book. The calculation of these multiple-site beta diversity metrics was actually quite easy and straightforward, especially when using the R package “MBI”. In this chapter of the book, I will also present and compare the empirical applications of the metrics on the publicly available 290 presence/absence real-world matrices which were collected by ecologists. It is expected that the readers of the book could easily understand and learn these multiple-site beta diversity indices through practicing their own data by using the “MBI” package.

Keywords:

Beta diversity, Bonferroni correction, computational ecology, diversity partitioning, multiple-site comparison, R statistical computing environment, software development, variance of species composition.

Affiliation:

Department of Renewable Resources, University of Alberta Edmonton, T6G 2H1, Canada.