iNEXT: an R package for rarefaction and extrapolation of species diversity (Hill numbers)
By T. Hsieh, K. Ma, A. Chao. 2016
3,602 citations recorded by the source corpus.
Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/dda159268dc4daa8f68ac94d53aca42dc04f04d4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecological Modeling
- A. Chao
- Chun‐Huo Chiu
- M. Dornelas
- Anne E. Magurran
- Faye Moyes
- P. A. Henderson
- April L. Hamblin
- S. Frank
In Ecology
- Chun‐Huo Chiu
- S. Frank
- April L. Hamblin
- E. Youngsteadt
- E. García‐Berthou
- G. Nicola
- A. Chao
- A. Almodóvar
In Nature and Landscape Conservation
- Chun‐Huo Chiu
- A. Chao
- M. Dornelas
- Faye Moyes
- Anne E. Magurran
- April L. Hamblin
- S. Frank
- E. Youngsteadt
Citations in the corpus
- Measuring temporal change in alpha diversity: A framework integrating taxonomic, phylogenetic and functional diversity and the iNEXT.3D standardization (2021, methodology): “The software iNEXT (Hsieh et al., 2016) was developed to facilitate all computations and graphics.”
- 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).”
- Sampling biases shape our view of the natural world (2020, neutral): “…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.”
- Effective monitoring of freshwater fish (2019, background): “A recent innovation is to extrapolate to the largest sample size rather than rarefy to the smallest one (Chao et al., 2014; Hsieh et al., 2016).”