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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 seven estimators including to 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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https://hal-agroparistech.archives-ouvertes.fr/hal-01212435
Contributor : Eric Marcon <>
Submitted on : Tuesday, October 6, 2015 - 4:01:17 PM
Last modification on : Tuesday, June 15, 2021 - 2:57:22 PM
Long-term archiving on: : Thursday, January 7, 2016 - 10:42:07 AM

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  • HAL Id : hal-01212435, version 1

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Eric Marcon. Practical Estimation of Diversity from Abundance Data. 2015. ⟨hal-01212435v1⟩

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