Estimating species numbers by extrapolation. 1, Comparing the performance of various estimators using large model communities

Ulrich, Werner

doi:ISSN 1505-2249

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Estimating species numbers by extrapolation. 1, Comparing the performance of various estimators using large model communities Ulrich, Werner

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Estimating species numbers by extrapolation. 1, Comparing the performance of various estimators using large model communities

Estimating species numbers by extrapolation. 1 ; Comparing the performance of various estimators using large model communities

Ulrich, Werner

Polish Academy of Sciences. Institute of Ecology

Polish Academy of Sciences. Institute of Ecology. Publishing Office

Dziekanów Leśny

1999

Pages 271-291 : illustrations ; 27 cm ; Bibliographical references (pages 289-291)

Journal/Article

model species assemblages ; species diversity ; jackknife-estimator ; bootstrap-estimator ; distribution ; estimation ; sampling ; parametric models

A computer program was constructed that simulates large species assemblages (28 to 997 species) with various species-rank order distributions and degrees of aggregation of the species. From these model assemblages random samples were taken to study the performance of 14 estimators of species diversity. For 6 of the estimators correction factors are developed. In sufficiently large samples (more than 2/3 of the true species number (TS) sampled) a corrected second order jackknife estimator gave the best results. 18% of the estimates ranged outside TS ± 10%. If fewer species are represented in the sample (but more than 1/3 TS) two newly developed data analytical estimators performed better. Between 23 and 24%, respectively, of their estimates ranged outside TS ± 20%. Crucial to the performance of all of the estimators is the sample size. The minimum sample size for an estimator to work has to contain at least 1/3 of the total species number.

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