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- W1987256514 abstract "Abstract A total of 11 sample-based estimators of tree species richness (S) are evaluated in terms of accuracy and precision in a Monte Carlo simulated simple random sampling from 39,779 forest inventory plots with 7.8 million trees belonging to 85 species. The plots represent a 108 million hectare forested region in central and eastern Canada. Sample sizes varied from 50 to 800. A weighted index combining estimates of accuracy and precision identified Chao's first estimator (CHAO1) as overall best with an estimator based on the assumption of a gamma mixed Poisson distribution of species occurrence as a close runner-up. The observed sample species richness was almost always the most negatively biased estimate. A sample size of 400-700 conventional fixed area forest inventory plots are needed to produce results with bias <20%." @default.
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- W1987256514 date "2008-01-01" @default.
- W1987256514 modified "2023-10-18" @default.
- W1987256514 title "Estimators of Tree Species Richness: An Assessment for Central and Eastern Canada" @default.
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- W1987256514 doi "https://doi.org/10.1300/j091v26n01_04" @default.
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