Simultaneous confidence intervals for comparing biodiversity indices estimated from overdispersed count data

verfasst von

Ralph Scherer, Frank Schaarschmidt, Sabine Prescher, Kai U. Priesnitz

Abstract

Diversity indices might be used to assess the impact of treatments on the relative abundance patterns in species communities. When several treatments are to be compared, simultaneous confidence intervals for the differences of diversity indices between treatments may be used. The simultaneous confidence interval methods described until now are either constructed or validated under the assumption of the multinomial distribution for the abundance counts. Motivated by four example data sets with background in agricultural and marine ecology, we focus on the situation when available replications show that the count data exhibit extra-multinomial variability. Based on simulated overdispersed count data, we compare previously proposed methods assuming multinomial distribution, a method assuming normal distribution for the replicated observations of the diversity indices and three different bootstrap methods to construct simultaneous confidence intervals for multiple differences of Simpson and Shannon diversity indices. The focus of the simulation study is on comparisons to a control group. The severe failure of asymptotic multinomial methods in overdispersed settings is illustrated. Among the bootstrap methods, the widely known Westfall-Young method performs best for the Simpson index, while for the Shannon index, two methods based on stratified bootstrap and summed count data are preferable. The methods application is illustrated for an example.

Organisationseinheit(en)

Abteilung Biostatistik

Externe Organisation(en)

Medizinische Hochschule Hannover (MHH)
Julius Kühn-Institut (JKI) Bundesforschungsinstitut für Kulturpflanzen
Bayerische Landesanstalt für Landwirtschaft (LfL)

Typ

Artikel

Journal

Biometrical Journal

Band

55

Seiten

246-263

Anzahl der Seiten

18

ISSN

0323-3847

Publikationsdatum

03.2013

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Statistik und Wahrscheinlichkeit, Statistik, Wahrscheinlichkeit und Ungewissheit

Ziele für nachhaltige Entwicklung

SDG 14 – Lebensraum Wasser

Elektronische Version(en)

https://doi.org/10.1002/bimj.201200157 (Zugang: Geschlossen)