Estimating the Number of Species in Microbial Diversity Studies

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Rarefaction, Alpha Diversity, and Statistics (2017, background): “However, richness estimation has a well-studied statistical literature, and richness estimators that are adapted to microbiome data exist (Bunge et al. 2014).”
Sparse and Compositionally Robust Inference of Microbial Ecological Networks (2014, background): “Classic objectives in community ecology include, (i) the accurate estimation of the number of taxa (observed and unobserved) from microbial studies [4] and, related to that, (ii) the estimation of community diversity within and across different habitats from the modeled population counts [5].”
Improved detection of changes in species richness in high diversity microbial communities (2016, background): “Some guidelines for appropriate richness estimators are available (Bunge et al., 2014), though we consistently find that, for high diversity settings (we propose singleton-to-doubleton ratios of 1.”