Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/5624
Full metadata record
DC FieldValueLanguage
dc.contributor.authorO'Donnell, Anthony Gen
dc.contributor.authorYoung, Iainen
dc.contributor.authorRushton, Steven Pen
dc.contributor.authorShirley, Mark Den
dc.contributor.authorCrawford, John Wen
dc.date.accessioned2010-04-19T09:39:00Z-
dc.date.issued2007-
dc.identifier.citationNature Reviews Microbiology, 5(9), p. 689-699en
dc.identifier.issn1740-1534en
dc.identifier.issn1740-1526en
dc.identifier.urihttps://hdl.handle.net/1959.11/5624-
dc.description.abstractThe 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.en
dc.languageenen
dc.publisherNature Publishing Groupen
dc.relation.ispartofNature Reviews Microbiologyen
dc.titleVisualisation, modelling and prediction in soil microbiologyen
dc.typeJournal Articleen
dc.identifier.doi10.1038/nrmicro1714en
dc.subject.keywordsSoil Sciencesen
dc.subject.keywordsSoil Biologyen
dc.subject.keywordsSoil Physicsen
dc.subject.keywordsTerrestrial Ecologyen
local.contributor.firstnameAnthony Gen
local.contributor.firstnameIainen
local.contributor.firstnameSteven Pen
local.contributor.firstnameMark Den
local.contributor.firstnameJohn Wen
local.subject.for2008060208 Terrestrial Ecologyen
local.subject.for2008050399 Soil Sciences not elsewhere classifieden
local.subject.for2008050305 Soil Physicsen
local.subject.for2008050303 Soil Biologyen
local.subject.seo2008961402 Farmland, Arable Cropland and Permanent Cropland Soilsen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailiyoung4@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20100219-121959en
local.publisher.placeUnited Kingdomen
local.format.startpage689en
local.format.endpage699en
local.peerreviewedYesen
local.identifier.volume5en
local.identifier.issue9en
local.contributor.lastnameO'Donnellen
local.contributor.lastnameYoungen
local.contributor.lastnameRushtonen
local.contributor.lastnameShirleyen
local.contributor.lastnameCrawforden
dc.identifier.staffune-id:iyoung4en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:5757en
dc.identifier.academiclevelAcademicen
local.title.maintitleVisualisation, modelling and prediction in soil microbiologyen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorO'Donnell, Anthony Gen
local.search.authorYoung, Iainen
local.search.authorRushton, Steven Pen
local.search.authorShirley, Mark Den
local.search.authorCrawford, John Wen
local.uneassociationUnknownen
local.year.published2007en
Appears in Collections:Journal Article
School of Environmental and Rural Science
Files in This Item:
2 files
File Description SizeFormat 
Show simple item record

SCOPUSTM   
Citations

122
checked on Mar 9, 2024

Page view(s)

970
checked on Jun 18, 2023
Google Media

Google ScholarTM

Check

Altmetric


Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.