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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

dc.contributor.authorDominguez Almela, Victoria
dc.contributor.authorPalmer, Stephen C.F.
dc.contributor.authorGillingham, Phillipa K.
dc.contributor.authorTravis, Justin M.J.
dc.contributor.authorBritton, J. Robert
dc.date.accessioned2020-02-21T16:50:00Z
dc.date.available2020-02-21T16:50:00Z
dc.date.issued2020-04-01
dc.identifier.citationDominguez 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/s10530-020-02197-6en
dc.identifier.issn1387-3547
dc.identifier.otherPURE: 157478775
dc.identifier.otherPURE UUID: 2b4c9ece-4504-412f-8dd5-edf57f848db0
dc.identifier.otherScopus: 85077997536
dc.identifier.otherWOS: 000519618900018
dc.identifier.urihttps://hdl.handle.net/2164/13731
dc.descriptionThe 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.en
dc.format.extent20
dc.language.isoeng
dc.relation.ispartofBiological Invasionsen
dc.rightsOpen Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.en
dc.subjectSDG 10 - Reduced Inequalitiesen
dc.subjectSDG 13 - Climate Actionen
dc.subjectSDG 15 - Life on Landen
dc.subjectBiological invasionen
dc.subjectBitterlingen
dc.subjectLeading edge dispersalen
dc.subjectRangeShifteren
dc.subjectRiver catchmenten
dc.subjectSimulation modelen
dc.subjectMUSSELSen
dc.subjectPOPULATIONen
dc.subjectHOST SELECTIONen
dc.subjectCLIMATE-CHANGEen
dc.subjectRATESen
dc.subjectGUDGEON PSEUDORASBORA-PARVAen
dc.subjectCOSTSen
dc.subjectAGE-SPECIFIC DISPERSALen
dc.subjectSPREADen
dc.subjectINTRODUCTIONSen
dc.subjectG Geography. Anthropology. Recreationen
dc.subjectEcology, Evolution, Behavior and Systematicsen
dc.subjectEcologyen
dc.subjectNatural Environment Research Council (NERC)en
dc.subjectNE/R008817/1en
dc.subjectiCASE studentshipen
dc.subject.lccGen
dc.titleIntegrating an individual-based model with approximate Bayesian computation to predict the invasion of a freshwater fish provides insights into dispersal and range expansion dynamicsen
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/10.1007/s10530-020-02197-6
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85077997536&partnerID=8YFLogxKen
dc.identifier.vol22en


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