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Practical Estimation of Diversity from Abundance Data

Abstract : Measuring biodiversity requires empirical techniques to effectively estimate it from real data. The well-known underestimation of the number of species applies to low orders of diversity in general. I test nine estimators including three new ones on geometric and lognormal distributions that represent realistic, hyper-diverse communities. The best two estimators allow a good estimation of diversity of orders over 0.5, even when the sampling effort is low. I provide criteria to choose the estimator and the necessary code in the R package entropart.
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Preprints, Working Papers, ...
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Contributor : Eric Marcon Connect in order to contact the contributor
Submitted on : Sunday, December 6, 2015 - 6:02:53 PM
Last modification on : Friday, October 8, 2021 - 4:26:52 PM


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  • HAL Id : hal-01212435, version 2



Eric Marcon. Practical Estimation of Diversity from Abundance Data. 2015. ⟨hal-01212435v2⟩



Les métriques sont temporairement indisponibles