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 |
Fields of Research (FoR) 2008: | 060208 Terrestrial Ecology 050399 Soil Sciences not elsewhere classified 050305 Soil Physics 050303 Soil Biology |
Socio-Economic Objective (SEO) 2008: | 961402 Farmland, Arable Cropland and Permanent Cropland Soils | 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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