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dc.contributor.authorNattrass, Stuart
dc.contributor.authorLusseau, David
dc.date.accessioned2016-05-13T11:00:15Z
dc.date.available2016-05-13T11:00:15Z
dc.date.issued2016-05-05
dc.identifier.citationNattrass , S & Lusseau , D 2016 , ' Using resilience to predict the effects of disturbance ' , Scientific Reports , vol. 6 , 25539 , pp. 1-9 . https://doi.org/10.1038/srep25539en
dc.identifier.issn2045-2322
dc.identifier.otherPURE: 66774629
dc.identifier.otherPURE UUID: 4433b8b7-0c53-4fd5-a0cc-e4511f46998b
dc.identifier.otherScopus: 84966312437
dc.identifier.otherORCID: /0000-0003-1245-3747/work/26716012
dc.identifier.otherORCID: /0000-0003-1245-3747/work/48593950
dc.identifier.urihttp://hdl.handle.net/2164/5987
dc.descriptionAcknowledgements This work was funded by the Office of Naval Research (N00014-13-1-0696). We thank C Asher for her comments on an earlier version of this manuscript.en
dc.format.extent9
dc.language.isoeng
dc.relation.ispartofScientific Reportsen
dc.rightsThis work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/en
dc.subjectQH301 Biologyen
dc.subject.lccQH301en
dc.titleUsing resilience to predict the effects of disturbanceen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Biological Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Marine Alliance for Science and Technology for Scotland (MASTS)en
dc.contributor.institutionUniversity of Aberdeen.Energyen
dc.description.statusPeer revieweden
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.1038/srep25539
dc.identifier.vol6en


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