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Published in: Quality & Quantity 2/2017

17-10-2016

Bootstrap confidence intervals for biodiversity measures based on Gini index and entropy

Authors: Nicola Pesenti, Piero Quatto, Enrico Ripamonti

Published in: Quality & Quantity | Issue 2/2017

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Abstract

Monitoring the richness and the diversity of species living in an ecosystem is an important goal of ecology. To this purpose, measures of biodiversity have been introduced as statistical summaries of the abundance vector. In particular, we take into consideration the Gini–Simpson and the Shannon–Wiener indices, along with the effective number of species calculated through these measures, proposed, respectively, by Laakso and Taagepera (Comp Polit Stud 12:3–25, 1979) and Leti (Statistica descrittiva, Bologna, Il Mulino, 1983). It is an open question how to associate to these indices a measure of uncertainty. In this paper we compare confidence intervals based on these measures, calculated through three different bootstrap methods: percentile, -t and accelerated bias-corrected percentile. We recommend to practitioners to use the percentile procedure, as it is straightforward and computationally feasible, providing results very close to those obtained by more complex techniques.

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Metadata
Title
Bootstrap confidence intervals for biodiversity measures based on Gini index and entropy
Authors
Nicola Pesenti
Piero Quatto
Enrico Ripamonti
Publication date
17-10-2016
Publisher
Springer Netherlands
Published in
Quality & Quantity / Issue 2/2017
Print ISSN: 0033-5177
Electronic ISSN: 1573-7845
DOI
https://doi.org/10.1007/s11135-016-0443-x

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