Show simple item record

Predicting the outcomes of management strategies for controlling invasive river fishes using individual-based models

dc.contributor.authorDominguez Almela, Victoria
dc.contributor.authorPalmer, Steve
dc.contributor.authorAndreou, D.
dc.contributor.authorGillingham, P.
dc.contributor.authorTravis, Justin
dc.contributor.authorBritton, R.
dc.date.accessioned2022-03-11T13:18:01Z
dc.date.available2022-03-11T13:18:01Z
dc.date.issued2021-11
dc.identifier.citationDominguez Almela , V , Palmer , S , Andreou , D , Gillingham , P , Travis , J & Britton , R 2021 , ' Predicting the outcomes of management strategies for controlling invasive river fishes using individual-based models ' , Journal of Applied Ecology , vol. 58 , no. 11 , pp. 2427-2440 . https://doi.org/10.1111/1365-2664.13981en
dc.identifier.issn0021-8901
dc.identifier.otherPURE: 194431973
dc.identifier.otherPURE UUID: dda7c001-6515-4b7f-a128-e9890002821c
dc.identifier.otherWOS: 000682909000001
dc.identifier.otherScopus: 85112621395
dc.identifier.urihttps://hdl.handle.net/2164/18198
dc.descriptionACKNOWLEDGEMENTS The RangeShifter software and manual can be downloaded from https://rangeshifter.github.io. V.D.A. was supported by an iCASE studentship from the Natural Environment Research Council (NE/R008817/1) and the Environment Agency. S.C.F.P. and J.M.J.T. were supported by the Latin American Biodiversity Programme as part of the Newton Fund (NE/S011641/1), with contributions from the Natural Environment Research Council.en
dc.format.extent14
dc.language.isoeng
dc.relation.ispartofJournal of Applied Ecologyen
dc.rightsThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.https://creativecommons.org/licenses/by/4.0/en
dc.subjectbiological invasionen
dc.subjectdispersalen
dc.subjectRangeShifteren
dc.subjectriver catchmenten
dc.subjectsimulation modelen
dc.subjectQH301 Biologyen
dc.subjectGE Environmental Sciencesen
dc.subjectNatural Environment Research Council (NERC)en
dc.subjectNE/R008817/1en
dc.subjectNE/S011641/1en
dc.subjectSupplementary Informationen
dc.subjectSupplementary Dataen
dc.subject.lccQH301en
dc.subject.lccGEen
dc.titlePredicting the outcomes of management strategies for controlling invasive river fishes using individual-based modelsen
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.description.statusPeer revieweden
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.1111/1365-2664.13981
dc.identifier.vol58en
dc.identifier.iss11en


Files in this item

Thumbnail
Name:
Almela_JAE_Predicting_the_outc ...
Size:
1.811Mb
Format:
PDF
View/Open

This item appears in the following Collection(s)

Show simple item record