Coverage-based rarefaction and extrapolation: standardizing samples by completeness rather than size.
By A. Chao, L. Jost. Ecology, 2012
2,016 citations recorded by the source corpus.
Subfields: Ecology, Evolution, Behavior and Systematics, Genetics, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/8cea92ac73ffa0cf8cd0b6eb2c8f5aa70371ba98
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology, Evolution, Behavior and Systematics
- A. Chao
- Pedro Jordano
- Carsten F. Dormann
- Chun‐Huo Chiu
- Robert K. Colwell
- N. Blüthgen
- Jochen Fründ
- I. Leal
In Genetics
- A. Chao
- Chun‐Huo Chiu
- Robert K. Colwell
- V. Arroyo‐Rodríguez
- M. Tabarelli
- I. Leal
- L. Jost
- Johanna E. Elsensohn
In Nature and Landscape Conservation
- A. Chao
- Chun‐Huo Chiu
- Pedro Jordano
- Robert K. Colwell
- Carsten F. Dormann
- I. Leal
- L. Jost
- Joaquín Hortal
Citations in the corpus
- Fuzzing: A Survey for Roadmap (2022, background): “This motivates Böhme et al. [17, 20, 21] to formulate fuzzing processes as a species discovery problem [32, 33, 52].”
- EstimateS turns 20: statistical estimation of species richness and shared species from samples, with non‐parametric extrapolation (2014, methodology): “(2012) to the full set of Hill numbers and to coverage-based rarefaction (Chao and Jost 2012).”
- Unifying Species Diversity, Phylogenetic Diversity, Functional Diversity, and Related Similarity and Differentiation Measures Through Hill Numbers (2014, methodology): “Alternatively, to make fair comparisons among samples, ecologists have used rarefaction and extrapolation to compare species richness at a standardized sampling effort or sample completeness (as measured by sample coverage) (for a review, see Chao & Jost 2012, Colwell et al. 2012).”
- Precipitation mediates the effect of human disturbance on the Brazilian Caatinga vegetation (2017, methodology): “We used the coverage estimator recommended by Chao & Jost (2012) to estimate the accuracy of diversity inventories: Ĉn ¼ 1 f1n ðn 1Þf1 ðn 1Þf1 þ 2f2 where f1 and f2 are the number of species with one individual and with two individuals in the sample, respectively, and n is the number of…”
- Sampling networks of ecological interactions (2015, background): “Symbols as in Table 1; N, number of records; Chao1 and ACE are asymptotic estimators for the number of distinct pairwise interactions I (Hortal et al. 2006), and their standard errors; C, sample coverage for rare interactions (Chao & Jost 2012).”
- Measuring temporal change in alpha diversity: A framework integrating taxonomic, phylogenetic and functional diversity and the iNEXT.3D standardization (2021, background): “Chao and Jost (2012) derived an interpolated coverage estimator ̂C(m) for any rarefied sample of size m n, and an extrapolated coverage estimator ̂C(n + m ∗ ) for any augmented sample of size n + m*.”
- Chronic anthropogenic disturbance drives the biological impoverishment of the Brazilian Caatinga vegetation (2015, methodology): “…among plots and ontogenetic classes (ranging from 20% to 99%), our estimates of species richness could be biased by differences in sample completeness (Chao & Jost 2012), particularly because species richness is sensitive to variations in the number of singletons and doubletons (Jost 2006).”
- Thirty years of progeny from Chao’s inequality: Estimating and comparing richness with incidence data and incomplete sampling (2017, background): “Chao and Jost (2012) indicated that a sample of a given size may be sufficient to fully characterize a low-diversity assemblage, but insufficient to characterize a richassemblage.”
- Temporal scale‐dependence of plant–pollinator networks (2020, background): “As an additional aspect of sampling completeness, we also estimated sampling coverage (Chao and Jost 2012) at the level of plants, pollinators and links for each network.”
- Quantifying sample completeness and comparing diversities among assemblages (2020, methodology): “Chao and Jost (2012) and Chao et al. (2014) adopted this sample coverage as a standardization criterion to compare diversity among assemblages for incidence data.”
- Estimating diversity and entropy profiles via discovery rates of new species (2015, methodology): “By applying slope estimators derived from an improved Good–Turing frequency formula (Chao & Jost 2012), we obtain a more accurate continuous diversity and entropy profile.”
- Biodiversity change is uncoupled from species richness trends: Consequences for conservation and monitoring (2018, background): “…richness among sites or time periods comparable when the size of the regional species pool differs, as the same observed absolute change creates a higher relative difference in a community consisting of a few species than in a diverse community (e.g. Chao and Jost, 2012; Chase & Knight, 2013).”