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Research Article

Estimating prokaryotic diversity and its limits

Thomas P. Curtis, William T. Sloan, and Jack W. Scannell
PNAS August 6, 2002 99 (16) 10494-10499; https://doi.org/10.1073/pnas.142680199
Thomas P. Curtis
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William T. Sloan
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Jack W. Scannell
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  1. Edited by Robert May, University of Oxford, Oxford, United Kingdom, and approved May 22, 2002 (received for review December 18, 2001)

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  • How many species of prokaryotes are there?
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    Fig 1.

    Species abundance and individual abundance. (A) The lognormal species abundance curve. The x axis shows log2(N), where N is bacterial abundance; the number of individuals within a species. The y axis shows the number of species, S, occurring at any abundance (N). Nmax (x axis) is the number of individuals in most abundant species, Nmin (x axis) is the number of individuals in the least abundant species, and N0 (x axis) is the modal species abundance. The total diversity, ST, is the area under the species abundance curve. The width of the species curve is inversely proportional to the spread parameter a. Here, one species with 224 ( = 1.6 × 107) individuals occurs at Nmax and one species with 20 (=1) individuals occurs at Nmin. (B) The individuals curve (solid) is found by multiplying abundance, N, by S, the number of species at that abundance (dots and dashes as in A not to scale). The total number of individuals in the sample is NT, which corresponds the area under the individuals curve. Nmax is the number of individuals in the most abundant species. Both Nmax and NT can be easily measured. This example obeys Preston's canonical hypothesis which states that the peak of the individuals curve coincides with Nmax. This fixes the value of a. A and B show that most species occur with very low abundance, so direct empirical measurement of diversity is impractical.

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    Fig 2.

    Relating species diversity to things we can measure. The figure shows how the number of species (color) varies with spread parameter, a, and the ratio of the total number of individuals (NT) to the number of individuals in the most abundant single species (Nmax).

  • Fig 3.
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    Fig 3.

    Estimating the spread parameter, a, by using Preston's canonical hypothesis. The color shows the number of species as spread parameter a and NT/Nmax vary. Preston's hypothesis states that the peak of the individuals curve coincides with Nmax, the number of individuals in the most abundant species. This fixes the spread parameter, a, at a value that is shown by the solid line. Thus, where Preston's hypothesis is true, the total number of species for any value of NT/Nmax should lie along the solid black line.

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    Fig 4.

    ST estimated by assuming the value of Nmin, the abundance of the least abundant species is 1.

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    Fig 5.

    The maximum possible diversity for differing numbers of individuals and different NT/Nmax ratios (under the assumption that Nmin = 1). A ratio of 1,000–100 might apply to soils and sediments, whereas a ratio of 4 might apply to the sea or a lake. To crudely estimate the diversity of communities where Nmin = >1 subtract the proposed Nmin value from the known NT value.

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Estimating prokaryotic diversity and its limits
Thomas P. Curtis, William T. Sloan, Jack W. Scannell
Proceedings of the National Academy of Sciences Aug 2002, 99 (16) 10494-10499; DOI: 10.1073/pnas.142680199

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Estimating prokaryotic diversity and its limits
Thomas P. Curtis, William T. Sloan, Jack W. Scannell
Proceedings of the National Academy of Sciences Aug 2002, 99 (16) 10494-10499; DOI: 10.1073/pnas.142680199
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Proceedings of the National Academy of Sciences: 99 (16)
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  • Article
    • Abstract
    • Relating Prokaryotic Diversity to Things We Can Measure
    • Calculating Diversity by Using the Canonical Hypothesis
    • Calculating Diversity at a Small Scale Assuming Nmin = 1
    • Calculating Maximum Possible Diversity at a Large Scale by Assuming Nmin = 1
    • Can Local Diversity Constitute Global Diversity?
    • Alternative Distributions
    • Concluding Comments
    • Acknowledgments
    • Footnotes
    • Abbreviations
    • References
  • Figures & SI
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