We assessed the performance of ten incidence-based estimators of tree species richness in simulated simple random sampling with fixed-area plots. Stem diameter-limited tree species and location data came from two species-rich wet tropical forest compartments in Panama and India. Lower limits of stem diameter were 1 cm and 30 cm, respectively. Estimators varied widely in their estimates of richness and their rankings changed frequently across sites and sample designs. A gamma-Poisson estimator was overall best according to a performance score of three accuracy statistics and sample size. However, until corroborated by further studies, Chao's 1981 non-parametric estimator is recommended for forest inventories with fixed-area plots.
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1 December 2006
An Assessment of Sample-Based Estimators of Tree Species Richness in Two Wet Tropical Forest Compartments in Panama and India
S. Magnussen,
R. Pélissier,
F. He,
B.R. Ramesh
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International Forestry Review
Vol. 8 • No. 4
December 2006
Vol. 8 • No. 4
December 2006
mixed-models
plot size
probability of occurrence
sample coverage
sample size
variance estimator