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Estimating species numbers by extrapolation. 1 ; Comparing the performance of various estimators using large model communities
Polish Academy of Sciences. Institute of Ecology
Polish Academy of Sciences. Institute of Ecology. Publishing Office
Pages 271-291 : illustrations ; 27 cm ; Bibliographical references (pages 289-291)
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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oai:rcin.org.pl:106123 ; ISSN 1505-2249
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Creative Commons Attribution BY 3.0 PL license
Copyright-protected material. [CC BY 3.0 PL] May be used within the scope specified in Creative Commons Attribution BY 3.0 PL license, full text available at: ; -
Museum and Institute of Zoology of the Polish Academy of Sciences
Library of the Museum and Institute of Zoology of the Polish Academy of Sciences
Feb 4, 2022
Jan 20, 2020
56
https://rcin.org.pl./publication/90902
Ulrich, Werner
Ulrich, Werner
Ulrich, Werner
Ulrich, Werner
Ulrich, Werner
Ulrich, Werner
Ulrich, Werner