Dominguez Almela, VictoriaPalmer, SteveAndreou, D.Gillingham, P.Travis, JustinBritton, R.2022-03-112022-03-112021-11Dominguez 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/10.1111/1365-2664.139810021-8901https://hdl.handle.net/2164/18198ACKNOWLEDGEMENTS 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.141899734engbiological invasiondispersalRangeShifterriver catchmentsimulation modelQH301 BiologyGE Environmental SciencesNatural Environment Research Council (NERC)NE/R008817/1NE/S011641/1Supplementary InformationSupplementary DataQH301GEPredicting the outcomes of management strategies for controlling invasive river fishes using individual-based modelsJournal article10.1111/1365-2664.139815811