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

• Autorzy: Ulrich W.
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

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

• Wydawca: Museum and Institute of Zoology, Polish Academy of Sciences
• Czasopismo: Polish Journal of Ecology
• Rocznik: 1999
• Tom: Vol. 47, no 3
• Strony: 271--291
• Opis fizyczny: Bibliogr. 55 poz., rys., tab.

Twórcy

autor

Ulrich W.

• Nicholas Copernicus University in Toruń, Department of Animal Ecology, Gagarina 9, 87-100 Toruń: Poland

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