Statistical Approaches to Estimating Species Richness and Other Biodiversity indices
by Anne Chao
Abstract: In this talk, statistical models and estimation procedures for estimating a variety of biodiversity indices are reviewed. The following topics are included:
(1) Species richness estimation: estimating the number of species in a community (or assemblage) based either on observed species frequencies or on multiple incidence data.
(2) Shared species richness: estimating the number of shared species for two communities based on sample data from each community.
(3) Prediction: predicting the number of new species that would be discovered in a second survey, based on frequency data from an initial survey.
(4) Diversity indices: estimating various diversity indices including Shannonâ€™s entropy index and Simpsonâ€™s index in a community.
(5) Similarity indices: estimating various similarity indices for two communities. The incidence-based indices include the classic Jaccard and Sorenson indices, and the abundance-based indices include the Bray-Curtis, Morisita-Horn and two newly developed abundance-based Jaccard and Sorenson indices by Chao, Colwell, Chazdon and Shen (2005).
Program SPADE (Species Prediction And Diversity Estimation) is introduced to analyse the soil ciliates data collected from five continents and discussed in Chao, Li, Agatha and Foissner (2006).
The lecture will run for 2 hours.
For More Information: Richard Huggins, R.Huggins@ms.unimelb.edu.au