Search for: [Abstract = "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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