2006
DOI: 10.18637/jss.v015.i03
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Jackknife Estimator of Species Richness withS-PLUS

Abstract: An estimate of the number of species, S, usually called species richness by ecologists, in an area is one of the basic statistics used to ascertain biological diversity. Traditionally ecologists have used the number of species observed in a sample, S 0 , to estimate S, realizing that S 0 is a lower bound for S. One alternative to S 0 is to use a nonparametric procedure such as jackknife resampling. For species richness, a closed form of the jackknife estimator is available. Typically statistical software conta… Show more

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Cited by 14 publications
(14 citation statements)
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“…This non-parametric estimator is based on the number of unique species contained in each observation (Smith & Pontius 2006), and according to Tobler et al (2008), it performs better than other estimators for data sets derived from large numbers of camera days. We also selected this estimator for its reduced bias and because it is based on the presence or absence of a species rather than on the abundance of the species (Smith & Pontius 2006). For these analyses, we used the program EstimateS (version 7.5.2), and for randomizations, we used 1,000 runs.…”
Section: Resultsmentioning
confidence: 99%
“…This non-parametric estimator is based on the number of unique species contained in each observation (Smith & Pontius 2006), and according to Tobler et al (2008), it performs better than other estimators for data sets derived from large numbers of camera days. We also selected this estimator for its reduced bias and because it is based on the presence or absence of a species rather than on the abundance of the species (Smith & Pontius 2006). For these analyses, we used the program EstimateS (version 7.5.2), and for randomizations, we used 1,000 runs.…”
Section: Resultsmentioning
confidence: 99%
“…As a resampling method, the jackknife omits one observation at a time and recomputes the estimate using the remaining observations (Heltshe & Forrester 1983). The first-order jackknife estimator is based on the amount of unique species information that is contained in each observation (Smith & Pontius 2006). Only species and individual taxa were considered.…”
Section: Resultsmentioning
confidence: 99%
“…Jackknife estimator of species richness is based on presence-absence data. It is known to reduce bias for the theoretical estimates of species richness and is based on the amount of unique species information that is contained in each observation (Smith and Pontius 2006). Analysis of co-variance was used to test for significant difference of equality of slopes of regression lines from the log transformed species accumulation plots.…”
Section: Data Analysesmentioning
confidence: 99%