An assessment of sample-based estimators of tree species richness in two wet tropical forest compartments in Panama and India

  • Steen Magnussen*
  • , R. Pélissier
  • , F. He
  • , B. R. Ramesh
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)417-431
Number of pages15
JournalInternational Forestry Review
Volume8
Issue number4
DOIs
StatePublished - Dec 2006
Externally publishedYes

Keywords

  • Mixed-models
  • Plot size
  • Probability of occurrence
  • Sample coverage
  • Sample size
  • Variance estimator

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