University of Aberdeen logo

AURA - Aberdeen University Research Archive

 

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.contributor.institutionUniversity of Aberdeen.Biological Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Marine Alliance for Science and Technology for Scotland (MASTS)en
dc.date.accessioned2022-03-11T13:18:01Z
dc.date.available2022-03-11T13:18:01Z
dc.date.issued2021-11
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.description.statusPeer revieweden
dc.format.extent14
dc.format.extent1899734
dc.identifier194431973
dc.identifierdda7c001-6515-4b7f-a128-e9890002821c
dc.identifier000682909000001
dc.identifier85112621395
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.doi10.1111/1365-2664.13981
dc.identifier.iss11en
dc.identifier.issn0021-8901
dc.identifier.urihttps://hdl.handle.net/2164/18198
dc.identifier.vol58en
dc.language.isoeng
dc.relation.ispartofJournal of Applied Ecologyen
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

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Almela_JAE_Predicting_the_outcomes_VOR.pdf
Size:
1.81 MB
Format:
Adobe Portable Document Format

Collections