Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/5624
Title: Visualisation, modelling and prediction in soil microbiology
Contributor(s): O'Donnell, Anthony G (author); Young, Iain (author); Rushton, Steven P (author); Shirley, Mark D (author); Crawford, John W (author)
Publication Date: 2007
DOI: 10.1038/nrmicro1714
Handle Link: https://hdl.handle.net/1959.11/5624
Abstract: The introduction of new approaches for characterizing microbial communities and imaging soil environments has benefited soil microbiology by providing new ways of detecting and locating microorganisms. Consequently, soil microbiology is poised to progress from simply cataloguing microbial complexity to becoming a systems science. A systems approach will enable the structures of microbial communities to be characterized and will inform how microbial communities affect soil function. Systems approaches require accurate analyses of the spatio–temporal properties of the different microenvironments present in soil. In this Review we advocate the need for the convergence of the experimental and theoretical approaches that are used to characterize and model the development of microbial communities in soils.
Publication Type: Journal Article
Source of Publication: Nature Reviews Microbiology, 5(9), p. 689-699
Publisher: Nature Publishing Group
Place of Publication: United Kingdom
ISSN: 1740-1534
1740-1526
Field of Research (FOR): 060208 Terrestrial Ecology
050399 Soil Sciences not elsewhere classified
050305 Soil Physics
050303 Soil Biology
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
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Appears in Collections:Journal Article
School of Environmental and Rural Science

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