Assessing group differences in biodiversity by simultaneously testing a user-defined selection of diversity indices

作者：Pallmann Philip^*; Schaarschmidt Frank; Hothorn Ludwig A; Fischer Christiane; Nacke Heiko; Priesnitz Kai U; Schork Nicholas J

来源：Molecular Ecology Resources, 2012, 12(6): 1068-1078.

DOI：10.1111/1755-0998.12004

• bootstrap
• metagenomics
• multiple contrasts
• Shannon entropy
• Simpson index
• Westfall-Young

Comparing diversities between groups is a task biologists are frequently faced with, for example in ecological field trials or when dealing with metagenomics data. However, researchers often waver about which measure of diversity to choose as there is a multitude of approaches available. As Jost (2008, Molecular Ecology, 17, 4015) has pointed out, widely used measures such as the Shannon or Simpson index have undesirable properties which make them hard to compare and interpret. Many of the problems associated with the use of these raw indices can be corrected by transforming them into true diversity measures. We introduce a technique that allows the comparison of two or more groups of observations and simultaneously tests a user-defined selection of a number of true diversity measures. This procedure yields multiplicity-adjusted P-values according to the method of Westfall and Young (1993, Resampling-Based Multiple Testing: Examples and Methods for p-Value Adjustment, 49, 941), which ensures that the rate of false positives (type I error) does not rise when the number of groups and/or diversity indices is extended. Software is available in the R package simboot.

• 出版日期2012-11