Spatial scaling of microbial eukaryote diversity

被引:0
|
作者
Jessica L. Green
Andrew J. Holmes
Mark Westoby
Ian Oliver
David Briscoe
Mark Dangerfield
Michael Gillings
Andrew J. Beattie
机构
[1] Macquarie University,Key Centre for Biodiversity and Bioresources, Department of Biological Sciences
[2] The University of Sydney,School of Molecular and Microbial Biosciences
[3] University of New England,New South Wales Department of Infrastructure, Planning and Natural Resources
[4] University of California,School of Natural Sciences
[5] Merced,undefined
来源
Nature | 2004年 / 432卷
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摘要
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.
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页码:747 / 750
页数:3
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