Models and estimators linking individual-based and sample-based rarefaction, extrapolation and comparison of assemblages
University of Connecticut · National Tsing Hua University · +3 more institutions
Abstract
In ecology and conservation biology, the number of species counted in a biodiversity study is a key metric but is usually a biased underestimate of total species richness because many rare species are not detected. Moreover, comparing species richness among sites or samples is a statistical challenge because the observed number of species is sensitive to the number of individuals counted or the area sampled. For individual-based data, we treat a single, empirical sample of species abundances from an investigator-defined species assemblage or community as a reference point for two estimation objectives under two sampling models: estimating the expected number of species (and its unconditional variance) in a…
Citation impact
- FWCI
- 122.48
- Percentile
- 100%
- References
- 48
Authors
7- RKRobert K. ColwellCorresponding
University of Connecticut
- ACAnne Chao
National Tsing Hua University
- NJN. J. Gotelli
University of Vermont
- SLSheng-Fwu Lin
National Tsing Hua University
- CXC. X. Mao
Shanghai University of Finance and Economics
Topics & keywords
- Rarefaction (ecology)
- Species richness
- Multinomial distribution
- Poisson distribution
- Statistics
- Sampling (signal processing)
- Mathematics
- Extrapolation
- Life in Land