Performance of nonparametric species richness estimators in a high diversity plant community

By Alessandro Chiarucci, Neal J. Enright, George L. W. Perry, B. Miller, B. Lamont. 2003

191 citations recorded by the source corpus.

Subfields: Ecology, Nature and Landscape Conservation, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/3551ffd43ede9afc48ede1e6208719486c1296ed

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

In Statistics and Probability

Citations in the corpus

Choosing the best non-parametric richness estimator for benthic macroinvertebrates databases (2011, methodology): “These indices use the abundance or incidence of rare species in the samples to estimate total number of species, using a previously formulated nonparametric model (e.g. Chao & Bunge, 2002; Sørensen et al., 2002; Chiarucci et al., 2003; Rosenzweig et al. 2003).”
Nonparametric Estimation and Comparison of Species Richness (2016, background): “This is likely the reason why many studies (Palmer, 1991; Chiarucci et al., 2003; Walther and Moore, 2005; Xu et al., 2012) found the jackknife estimators to exhibit a relatively good performance.”
Using the Species-Area Relationship to Set Baseline Targets for Conservation (2004, methodology): “…and Bootstrap) were used in the comparative analyses, as the others (Michaelis-Menten runs, Michaelis-Menten means, and Cole) have not been widely tested for this purpose in the literature (Brose 2002, Herzog et al. 2002, Chiarucci et al. 2003, Petersen et al. 2003, Turnipseed et al. 2003).”
Animals traded for traditional medicine at the faraday market in South Africa: species diversity and conservation implications (2011, background): “Complete enumeration of species within a study area is generally not feasible and consequently a number of methods have been devised for estimating total species richness from a sample (Chiarucci et al., 2003).”
Species diversity and structure of phytophagous beetle assemblages along a latitudinal gradient: predicting the potential impacts of climate change (2004, unknown): “Estimated total species richness The species richness estimator used (Chao-1) is one of a variety of species estimators available (Colwell, 1997; Chiarucci et al., 2003).”
Linking earth observation and taxonomic, structural and functional biodiversity: local to ecosystem perspectives (2016, background): “…microclimate and heat islands and human influences in cities: d buildings in the city of Oldenburg, true colour image from Hyperspectral Data − ser scanning data (ALS), Recording date: 2010-6-15. objective sampling combined with statistical estimators of species richness (Chiarucci et al., 2003).”
Assessing the impact of Impatiens glandulifera on riparian habitats: partitioning diversity components following species removal (2005, background): “No rules exist as to which estimate is more reliable for different assessments, but Burnham and Overton’s second-order jackknife provides a relatively unbiased estimate of species richness for small sample sizes (Colwell & Coddington 1994; Chiarucci et al . 2003 ).”
Quantifying plant species diversity in a Natura 2000 network: Old ideas and new proposals (2008, background): “This is likely to be an important problem for biodiversity estimation, also given the problems associated with the use of species richness estimators ( Chiarucci et al., 2003; Lam and Kleinn, 2008).”
Fire and fire surrogate treatment effects on leaf litter arthropods in a western Sierra Nevada mixed-conifer forest (2006, methodology): “The bootstrap estimator worked well with this data set in the past (Apigian, 2005) and, while potentially underestimating overall richness (Chiarucci et al., 2003), it is still an effective means of making relative comparisons between sites (Palmer, 1990; Poulin, 1998).”