Sufficient sampling for asymptotic minimum species richness estimators

Ecology

Volumn 90, Issue 4, 2009, Pages 1125-1133

  Chao, Anne ^a   Colwell, Robert K ^b   Lin, Chih Wei ^a   Gotelli, Nicholas J ^c  

^a NATIONAL TSING HUA UNIVERSITY   (Taiwan)

^b UNIVERSITY OF CONNECTICUT   (United States)

^c UNIVERSITY OF VERMONT   (United States)

Author keywords

Asymptotic species richness estimators; Biodiversity sampling; Sample size; Turing's frequency formula

Indexed keywords

ABUNDANCE; BEETLE; BIODIVERSITY; CAPTURE METHOD; CENSUS; PERFORMANCE ASSESSMENT; SAMPLING; SPECIES INVENTORY; SPECIES OCCURRENCE; SPECIES RICHNESS; SPREADSHEET; STATISTICAL ANALYSIS; WOODLAND;

ANIMAL; ARTICLE; BIODIVERSITY; BIOLOGICAL MODEL; COMPUTER SIMULATION; LEPIDOPTERA; PANAMA; PHYSIOLOGY; PLANT; SAMPLE SIZE; UNITED KINGDOM;

ANIMALS; BIODIVERSITY; COMPUTER SIMULATION; GREAT BRITAIN; LEPIDOPTERA; MODELS, BIOLOGICAL; PANAMA; PLANTS; SAMPLE SIZE;

BARRO COLORADO ISLAND; CENTRAL AMERICA; EURASIA; EUROPE; GATUN LAKE; PANAMA [CENTRAL AMERICA]; UNITED KINGDOM; WESTERN EUROPE;

LEPIDOPTERA;

EID: 63849105333     PISSN: 00129658     EISSN: None     Source Type: Journal    
DOI: 10.1890/07-2147.1     Document Type: Article

References (29)

1. Butler, B. J., and R. L. Chazdon. 1998. Species richness, spatial variation, and abundance of the soil seed bank of a secondary tropical rain forest. Biotropica 30:214-222.
2. Chao, A. 1989. Estimating population size for sparse data in capture-recapture experiments. Biometrics 45:427-438.
3. Chao, A. 2005. Species estimation and applications. Pages 7907-7916 in N. Balakrishnan, C. B. Read, and B. Vidakovic. editors. Encyclopedia of statistical sciences. Second edition, volume 12. Wiley. New York. New York, USA.
4. Chazdon, R. L., R. K. Colwell, J. S. Denslow, and M. R. Guariguata. 1998. Statistical methods for estimating species richness of woody regeneration in primary and secondary rain forests of NE Costa Rica. Pages 285-309 in F. Dallmeier and J. A. Comiskey, editors. Forest biodiversity research, monitoring and modeling: conceptual background and Old World case studies. Parthenon Publishing, Paris, France.
5. Colwell, R. K., and J. A. Coddington. 1994. Estimating terrestrial biodiversity through extrapolation. Philosophical Transactions of the Royal Society of London B 345:101-118.
6. Colwell. R. K., C. X. Mao, and J. Chang. 2004. Interpolating, extrapolating, and comparing incidence-based species accumulation curves. Ecology 85:2717-2727.
7. Connolly, S. R., T. P. Hughes, D. R, Bellwood, and R. H. Karlson. 2005. Community structure of corals and reef fishes at multiple scales. Science 309:1363-1365.
8. Cunningham, S. C., R. D. Babb, T. R. Jones, B. D. Taubert, and R. Vega. 2002. Reaction of lizard populations to a catastrophic wildfire in a central Arizona mountain range. Biological Conservation 107:193-201.
9. Dahlberg, M. D., and E. P. Odum. 1970. Annual cycles of species occurrence, abundance, and diversity in Georgia estuarine fish populations, American Midland Naturalist 83: 382-392.
10. Efron, B., and R. J. Tibshirani. 1993. An introduction to the bootstrap. Chapman and Hall, New York, New York, USA.
11. Ellison, A. M., S. Record, A. Arguello, and N. J. Gotelli. 2007. Rapid inventory of the ant assemblage in a temperate hardwood forest: species composition and assessment of sampling methods. Environmental Entomology 36:766-775.
12. Fisher, R. A., A. Steven-Corbet, and C. B. Williams. 1943. The relation between the number of species and the number of individuals in a random sample of an animal population. Journal of Animal Ecology 12:42-58.
13. Good, I. J. 1953, The population frequencies of species and the estimation of population parameters. Biometrika 40:237-264.
14. Good, I. J. 2000. Turing's anticipation of empirical Bayes in connection with the cryptanalysis of the naval Enigma. Journal of Statistical Computation and Simulation 66:101-111.
15. Gotelli, N. J., and R. K. Colwell, 2001. Quantifying biodiversity: procedures and pitfalls in the measurement and comparison of species richness. Ecology Letters 4:379-391.
16. Hubbell, S. P., R, Condit, and R, Booster. 2005. Barro Colorado forest census plot data,
17. Kobayashi, S. 1982. The rarefaction diversity measurement and the spatial distribution of individuals. Japanese Journal of Ecology 32:255-258.
18. Kobayashi, S. 1983. Another calculation for the rarefaction diversity measurement for different spatial distributions. Japanese Journal of Ecology 33:101-102.
19. Lawton, J. H., D, E. Bignell, and B. Bolton. 1998, Biodiversity inventories, indicator taxa, and effects of habitati modification in tropical forest. Nature 391:72-76.
20. Longino, J, T., J. A. Coddington, and R. K. Colwell, 2002, The ant fauna of a tropical rain forest: estimating species richness three different ways. Ecology 83:689-702.
21. Longino, J. T., and R. K. Colwell. 1997, Biodiversity assessment using structured inventory: Capturing the ant fauna of a lowland tropical rain forest. Ecological Applications 7:1263-1277.
22. Magurran, A. E. 2004. Measuring biological diversity. Black-well, Maiden, Massachusetts, USA.
23. Mao, C. X,, and R, K. Colwell, 2005, Estimation of species richness: mixture models, the role of rare species, and inferential challenges. Ecology 86:1143-1153.
24. Maudsley, M., B, Seeley, and O, Lewis, 2002, Spatial distribution patterns of predatory arthropods within an English hedgerowin early winter in relation to habitat variables. Agriculture, Ecosystem, and Environment 89:77-89.
25. Preston, F. W. 1962. The canonical distribution of commonness and rarity: Parts 1 and 2, Ecology 43:185-215, 410-432.
26. Rasmussen, S. L., and N. Starr. 1979. Optimal and adaptive stopping in the search for new species. Journal of the American Statistical Association 74:661-667.
27. Shen, T.-J., A. Chao, and J.-F. Lin. 2003. Predicting the number of new species in a further taxonomic sampling. Ecology 84:798-804.
28. Smith, E. P., P. M. Stewart, and J. Cairns, Jr. 1985. Similarities between rarefaction methods. Hydrobiologia 120:167-169.
29. Soberón, J., and J, Llorente. 1993, The use of species accumulation functions for the prediction of species richness. Conservation Biology 7:480-488.