Dominguez Almela, VictoriaPalmer, Stephen C.F.Gillingham, Phillipa K.Travis, Justin M.J.Britton, J. Robert2020-02-212020-02-212020-04-01Dominguez Almela, V, Palmer, S C F, Gillingham, P K, Travis, J M J & Britton, J R 2020, 'Integrating an individual-based model with approximate Bayesian computation to predict the invasion of a freshwater fish provides insights into dispersal and range expansion dynamics', Biological Invasions, vol. 22, pp. 1461-1480. https://doi.org/10.1007/s10530-020-02197-61387-3547https://hdl.handle.net/2164/13731The RangeShifter software and manual can be requested from s.palmer@abdn.ac.uk. The authors acknowledge the use of the Maxwell high-performance computing cluster funded by the University of Aberdeen. VDA was supported by an iCASE studentship from the Natural Environment Research Council (Grant Number NE/R008817/1) and the Environment Agency. We are grateful for the comments of three anonymous reviewers, which served to substantially improve an earlier version of the paper.201924339engSDG 10 - Reduced InequalitiesSDG 13 - Climate ActionSDG 15 - Life on LandBiological invasionBitterlingLeading edge dispersalRangeShifterRiver catchmentSimulation modelMUSSELSPOPULATIONHOST SELECTIONCLIMATE-CHANGERATESGUDGEON PSEUDORASBORA-PARVACOSTSAGE-SPECIFIC DISPERSALSPREADINTRODUCTIONSG Geography. Anthropology. RecreationEcology, Evolution, Behavior and SystematicsEcologyNatural Environment Research Council (NERC)NE/R008817/1iCASE studentshipGIntegrating an individual-based model with approximate Bayesian computation to predict the invasion of a freshwater fish provides insights into dispersal and range expansion dynamicsJournal article10.1007/s10530-020-02197-6http://www.scopus.com/inward/record.url?scp=85077997536&partnerID=8YFLogxK22