Species richness estimators: how many species can dance on the head of a pin?

By R. O’Hara. 2005

219 citations recorded by the source corpus.

Subfields: Ecological Modeling, Nature and Landscape Conservation, Plant Science

View Paper: https://www.semanticscholar.org/paper/ce6d2f8b87ce16e2dfaefabdc46156d4ff43c72a

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In Ecological Modeling

In Nature and Landscape Conservation

In Plant Science

Citations in the corpus

Nonparametric Estimation and Comparison of Species Richness (2016, background): “The chief weakness of the parametric approach is that simulations show that they work well only when the correct form of the species abundance distribution is already known (O’Hara, 2005; Chiu et al., 2014), but this is never the case for empirical data.”
Undersampling and the measurement of beta diversity (2013, methodology): “…of using methods with an explicit correction for unseen species (bM3 and particularly bM4) were quite sensitive to the abundance structure of data (O’Hara 2005), which calls for particular caution when applying such metrics to data that are not based on individual counts (which will often be…”
For testing the significance of regression coefficients, go ahead and log‐transform count data (2015, background): “GLMs and GLMMs make explicit assumptions about the distribution of the data, and if these assumptions are notmet by the data, the statistical results could be quite wrong (e.g. Martin et al. 2005; O’Hara 2005; Ver Hoef & Boveng 2007).”
Estimating diversity and entropy profiles via discovery rates of new species (2015, background): “A wide range of estimators have been proposed to reduce this bias (Chao 2005; O’Hara 2005).”
Entropy and the species accumulation curve: a novel entropy estimator via discovery rates of new species (2013, background): “However, the first-order bias is a function of species richness (see Appendix S1), which is more difficult to estimate than entropy itself (Chao 2005; O’Hara 2005; Gotelli & Chao 2013).”
Saproxylic beetle diversity in a managed boreal forest: importance of stand characteristics and forestry conservation measures (2007, background): “Nonetheless, species richness estimators are often biased, and the use of multiple estimates may at best be considered to provide upper and lower bounds for richness estimates (Brose et al ., 2003; O’Hara, 2005).”
Species Richness: Estimation and Comparison (2016, background): “The chief weakness of these methods is that simulations show that they work well only when the correct form of the species detection rates is already known([26]), but this is rarely the case for empirical data.”
Hierarchical Bayes estimation of species richness and occupancy in spatially replicated surveys (2008, background): “Some have questioned whether species richness can be estimated at all (Link 2003; Mao & Colwell 2005; O’Hara 2005).”