EstimateS turns 20: statistical estimation of species richness and shared species from samples, with non‐parametric extrapolation

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Sampling biases shape our view of the natural world (2020, positive): “…for estimating biodiversity patterns (Soberón and Llorente 1993, Colwell and Coddington 1994, Gotelli and Colwell 2001, Mora et al. 2008, Chao et al. 2014, Colwell and Elsensohn 2014, Hsieh et al. 2016), the value and applicability of statistical method will always be determined by available data.”
Thirty years of progeny from Chao’s inequality: Estimating and comparing richness with incidence data and incomplete sampling (2017, methodology): “In addition to EstimateS, these two estimators have now been included in other software and several R packages in CRAN (e.g. packages Species, Specpool, entropart, fossil, SpadeR, iNEXT, among others).”
Does pollen-assemblage richness reflect floristic richness? A review of recent developments and future challenges (2016, positive): “…for all the assemblages of interest, using the same 615 appropriate base-sum, thereby providing estimates of N0, N1, and N2, and their associated variances 616 for each assemblage independent of count size (see also Kindt et al., 2006; Chao et al., 2014a, 2014b; 617 Colwell and Elsensohn, 2014).”