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Spatial scaling of microbial eukaryote diversity

Author

Listed:
  • Jessica L. Green

    (Macquarie University
    University of California, Merced)

  • Andrew J. Holmes

    (The University of Sydney)

  • Mark Westoby

    (Macquarie University)

  • Ian Oliver

    (University of New England)

  • David Briscoe

    (Macquarie University)

  • Mark Dangerfield

    (Macquarie University)

  • Michael Gillings

    (Macquarie University)

  • Andrew J. Beattie

    (Macquarie University)

Abstract

Patterns in the spatial distribution of organisms provide important information about mechanisms that regulate the diversity of life and the complexity of ecosystems1,2. Although microorganisms may comprise much of the Earth's biodiversity3,4 and have critical roles in biogeochemistry and ecosystem functioning5,6,7, little is known about their spatial diversification. Here we present quantitative estimates of microbial community turnover at local and regional scales using the largest spatially explicit microbial diversity data set available (> 106 sample pairs). Turnover rates were small across large geographical distances, of similar magnitude when measured within distinct habitats, and did not increase going from one vegetation type to another. The taxa–area relationship of these terrestrial microbial eukaryotes was relatively flat (slope z = 0.074) and consistent with those reported in aquatic habitats8,9. This suggests that despite high local diversity, microorganisms may have only moderate regional diversity. We show how turnover patterns can be used to project taxa–area relationships up to whole continents. Taxa dissimilarities across continents and between them would strengthen these projections. Such data do not yet exist, but would be feasible to collect.

Suggested Citation

  • Jessica L. Green & Andrew J. Holmes & Mark Westoby & Ian Oliver & David Briscoe & Mark Dangerfield & Michael Gillings & Andrew J. Beattie, 2004. "Spatial scaling of microbial eukaryote diversity," Nature, Nature, vol. 432(7018), pages 747-750, December.
  • Handle: RePEc:nat:nature:v:432:y:2004:i:7018:d:10.1038_nature03034
    DOI: 10.1038/nature03034
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    Cited by:

    1. Karunarathna, K.A.N.K. & Wells, Konstans & Clark, Nicholas J., 2024. "Modelling nonlinear responses of a desert rodent species to environmental change with hierarchical dynamic generalized additive models," Ecological Modelling, Elsevier, vol. 490(C).
    2. Marco Marani & Tommaso Zillio & Enrica Belluco & Sonia Silvestri & Amos Maritan, 2006. "Non-Neutral Vegetation Dynamics," PLOS ONE, Public Library of Science, vol. 1(1), pages 1-5, December.

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