Multivariate analyses in microbial ecology
Environmental microbiology is undergoing a dramatic revolution due to the increasing accumulation of biological information and contextual environmental parameters. This will not only enable a better identification of diversity patterns, but will also shed more light on the associated environmental...
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| Veröffentlicht in: | FEMS microbiology ecology 2007-11, Vol.62 (2), p.142-160 |
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| container_title | FEMS microbiology ecology |
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| creator | Ramette, Alban |
| description | Environmental microbiology is undergoing a dramatic revolution due to the increasing accumulation of biological information and contextual environmental parameters. This will not only enable a better identification of diversity patterns, but will also shed more light on the associated environmental conditions, spatial locations, and seasonal fluctuations, which could explain such patterns. Complex ecological questions may now be addressed using multivariate statistical analyses, which represent a vast potential of techniques that are still underexploited. Here, well-established exploratory and hypothesis-driven approaches are reviewed, so as to foster their addition to the microbial ecologist toolbox. Because such tools aim at reducing data set complexity, at identifying major patterns and putative causal factors, they will certainly find many applications in microbial ecology. |
| doi_str_mv | 10.1111/j.1574-6941.2007.00375.x |
| format | Article |
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| ispartof | FEMS microbiology ecology, 2007-11, Vol.62 (2), p.142-160 |
| issn | 0168-6496 1574-6941 |
| language | eng |
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| source | Oxford Journals Open Access Collection; Wiley Online Library - AutoHoldings Journals; MEDLINE; EZB-FREE-00999 freely available EZB journals |
| subjects | Bioaccumulation Complexity Data Interpretation, Statistical Data reduction Ecological effects Ecological monitoring Ecology Ecosystem Environmental conditions Environmental Microbiology gradient Microbiology Microorganisms MiniReviews modeling multivariate Multivariate Analysis ordination Parameter identification Seasonal variations Statistical analysis statistics |
| title | Multivariate analyses in microbial ecology |
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