Measuring and Estimating Species Richness, Species Diversity, and Biotic Similarity from Sampling Data

By Nicholas Gotelli, A. Chao. 2013

544 citations recorded by the source corpus.

Subfields: Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/417c4848394d092099eef3537b14550d79abdda5

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

In Nature and Landscape Conservation

Citations in the corpus

Acoustic fish communities: sound diversity of rocky habitats reflects fish species diversity (2019, methodology): “Accumulation curves (using presence/absence data) were also built, allowing for meaningful comparison of community-wide changes (Gotelli & Colwell 2001, Gotelli & Chao 2013).”
Chronic anthropogenic disturbance causes homogenization of plant and ant communities in the Brazilian Caatinga (2016, background): “D, (1)D and (2)D are in the same units and satisfy the replication principle (Jost 2006), which is required in biodiversity assessments as it considers the uniqueness of each species that composes an assemblage (Gotelli and Chao 2013).”
Does pollen-assemblage richness reflect floristic richness? A review of recent developments and future challenges (2016, unknown): “Not surprisingly, Hill numbers have now been generalised to consider not only taxonomic 1210 diversity but also phylogenetic and functional diversity, thereby providing a unified framework for 1211 measuring several aspects of biodiversity (Chao et al., 2010, 2014a, 2014b; Gotelli and Chao, 2013; 12”
Coverage-based rarefaction and extrapolation: standardizing samples by completeness rather than size. (2012, background): “Unfortunately, the statistical properties of species richness are much worse than those of any other common diversity measure (Colwell and Coddington 1994, Chao 2005, Gotelli and Chao 2013), since it is as sensitive to rare and hard-to-detect species as to common ones.”
Rarefaction and extrapolation with Hill numbers: a framework for sampling and estimation in species diversity studies (2014, unknown): “…relative abundance that are almost undetectable in normal sampling schemes) our intuition is that the number of undetected species in samples (or equivalently, species richness in the entire assemblage) is very hard to estimate; see Colwell et al. (2012) and Gotelli and Chao (2013) for a review.”
Declining diversity and abundance of High Arctic fly assemblages over two decades of rapid climate warming (2018, methodology): “The Hill number 1D corresponds to the number of ‘typical’ or ‘common’ species in the assemblage while 2D represents the number of abundant species in the assemblage (Gotelli and Chao 2013, Chao et al.”
Thirty years of progeny from Chao’s inequality: Estimating and comparing richness with incidence data and incomplete sampling (2017, background): “…applied to many research fields, not only in ecology and conservation biology, but also in other disciplines; see Chazdon et al. (1998), Magurran (2004), Chao (2005), Gotelli and Colwell (2011), Magurran and McGill (2011), Gotelli and Chao (2013) and Chao and Chiu (2016) for various applications.”
EstimateS turns 20: statistical estimation of species richness and shared species from samples, with non‐parametric extrapolation (2014, background): “Hill numbers are a family of diversity measures that quantify diversity in units of equivalent numbers of equally abundant species (Jost 2006, Gotelli and Chao 2013).”
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).”
Functional Molecular Diversity of Marine Dissolved Organic Matter Is Reduced during Degradation (2017, methodology): “(2) The abundance-based Gini-Simpson index DA is one of the most commonly used indices in biodiversity research (Gotelli and Chao, 2013), and has been applied to DOM Frontiers in Marine Science | www.frontiersin.org 2 June 2017 | Volume 4 | Article 194 TABLE 1 | Aspects of species diversity and…”
Nonparametric Estimation and Comparison of Species Richness (2016, unknown): “2infreq = max ⎧⎪⎪⎨⎪⎪⎩ Sinfreq Ĉinfreq Tinfreq( Tinfreq − 1 ) 𝜅∑ i=1 i(i − 1)Qi( 𝜅∑ i=1 iQi )( 𝜅∑ i=1 iQi − 1 ) − 1, 0 ⎫⎪⎪⎬⎪⎪⎭ (6b) A similar ICE-1 estimator for species-rich and highly heterogeneous assemblages can also be obtained (Gotelli and Chao, 2013).”
Estimating diversity and entropy profiles via discovery rates of new species (2015, background): “For this reason, Hill (1973), T othm er esz (1995), Gotelli & Chao (2013), Chao et al. (2014) and others suggested that biologists should instead use all the information contained in their data, by plotting the complexity measure as a continuous function of q.”
Quantifying sample completeness and comparing diversities among assemblages (2020, background): “When species richness is fixed, the more uneven the distribution of species abundances, the more steeply the profile declines; see figure 6 of Gotelli and Chao (2013) for an example.”
Biodiversity change is uncoupled from species richness trends: Consequences for conservation and monitoring (2018, background): “This superficial ease of calculation is misleading as richness poses a number of technical, statistical and ecological issues which have frequently been raised in the scientific literature (e.g. Brose, Martinez, & Williams, 2003; Gotelli & Chao, 2012; Gotelli & Colwell, 2001; Magurran, 2004).”
Wild bee abundance declines with urban warming, regardless of floral density (2018, methodology): “To compare species richness across sites independently of bee abundance, we rarefied or extrapolated (at 3 sites) samples to 100 individuals using the package iNEXT 2.0.12 in the R 3.1 computing environment for Windows (Gotelli and Chao 2013; R Core Team 2013; Hsieh et al. 2016).”
Capturing the complexity of biodiversity: A critical review of economic valuation studies of biological diversity (2015, unknown): “Genetic diversity Allelic diversity (genotypic differences) Species diversity Shannon entropy (a.k.a. Shannon-Wiener index) Gini-Simpson index Species richness Phylogenetic/taxonomic/functional Rao’s quadratic entropy Phylogenetic entropy Ecosystem diversity Various similarity indices, mostly”
Chronic anthropogenic disturbance drives the biological impoverishment of the Brazilian Caatinga vegetation (2015, background): “Both 0D and 2D are in the same units and satisfy the replication principle (Jost 2006), which is required in biodiversity assessments as it considers the uniqueness of each species that compose an assemblage (Gotelli & Chao 2013).”