Next Article in Journal
Nucleotide Diversities and Genetic Relationship in the Three Japanese Pine Species; Pinus thunbergii, Pinus densiflora, and Pinus luchuensis
Previous Article in Journal
The Impact of Climate Change on Recent Vegetation Changes on Dovrefjell, Norway
Diversity 2011, 3(1), 112-120; doi:10.3390/d3010112

rich: An R Package to Analyse Species Richness

INRA, UMR CBGP (INRA/IRD/Cirad/Montpellier SupAgro), Campus International de Baillarguet, CS 30016, F-34988 Montferrier-sur-Lez cedex, France
Received: 18 January 2011 / Accepted: 10 February 2011 / Published: 16 February 2011
View Full-Text   |   Download PDF [188 KB, 18 February 2011; original version 16 February 2011]   |  


The paper describes rich, a new R package to perform species richness estimation and comparison. Species richness is the simplest surrogate for the more complex concept of species biodiversity. It is relatively easy to assess although estimations strongly depend on sampling intensity with the consequence that richness estimations should be standardized to perform valid comparisons. The R package rich allows such corrections as well as the computation of various statistics and implements different randomization tests to compare cumulative and average species richness of two communities. These tests are useful for ranking sites or communities which is a classical goal in restoration ecology and conservation biology.
Keywords: species richness; rarefaction; bootstrap; randomization test; biodiversity; community ecology species richness; rarefaction; bootstrap; randomization test; biodiversity; community ecology
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Share & Cite This Article

Further Mendeley | CiteULike
Export to BibTeX |
EndNote |
MDPI and ACS Style

Rossi, J.-P. rich: An R Package to Analyse Species Richness. Diversity 2011, 3, 112-120.

View more citation formats

Article Metrics

For more information on the journal, click here


[Return to top]
Diversity EISSN 1424-2818 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert