Incorporating host-parasite biotic factors in species distribution models: Modelling the distribution of the Castor Bean tick, Ixodes ricinus

dc.check.date2022-05-01
dc.check.infoAccess to this article is restricted until 18 months after publication by request of the publisher.en
dc.contributor.authorMcDonough, Sinead
dc.contributor.authorHolloway, Paul
dc.date.accessioned2021-03-16T12:43:47Z
dc.date.available2021-03-16T12:43:47Z
dc.date.issued2020-11-01
dc.date.updated2021-03-16T12:30:39Z
dc.description.abstractUnderstanding where ticks are found, and the drivers of their geographic distributions is imperative for successful epidemiological precautions. Predictive models of tick distributions are often projected using solely abiotic (e.g., climate) variables, despite the strong biotic interaction that host species undoubtedly have with parasitic species. We used species distribution modelling to project the distribution of Ixodes ricinus in Ireland and the United Kingdom using different combinations of abiotic, biotic, and abiotic-biotic variables. We found that models parameterised solely on abiotic variables generally reported lower accuracy and ecological realism than models that incorporated biotic factors alongside climate. We also investigated representation of host distribution in models, testing four different methods (habitat suitability of individual hosts, presence-absence of individual hosts, ensembled habitat suitability, and ensembled presence-absence). Biotic representations of ensembled host distributions alongside abiotic variables reported the highest accuracy, with the variable representing host diversity (e.g., number of host species) the most important variable when measured using a jackknife test. Moreover, our results suggested how host distributions are represented (i.e., presence-absence, habitat suitability) greatly impacted results, with differences reported among habitat specialists and generalists. Results suggest that it is now imperative for projections of parasitic species to include a representation of biotic factors with host species. This research has improved our understanding of the drivers of tick distributions in a national context, and the investigation of biotic representation should foster discussion among researchers working in species distribution modelling and the wider biogeography discipline.en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationMcDonough, S. and Holloway, P. (2020) 'Incorporating host-parasite biotic factors in species distribution models: Modelling the distribution of the Castor Bean tick, Ixodes ricinus', Irish Geography, 53(2), pp. 105-125. doi: 10.2014/igj.v53i2.1416en
dc.identifier.doi10.2014/igj.v53i2.1416en
dc.identifier.eissn1939-4055
dc.identifier.endpage125en
dc.identifier.issn0075-0778
dc.identifier.issued2en
dc.identifier.journaltitleIrish Geographyen
dc.identifier.startpage105en
dc.identifier.urihttps://hdl.handle.net/10468/11147
dc.identifier.volume53en
dc.language.isoenen
dc.publisherGeographical Society of Irelanden
dc.relation.urihttp://irishgeography.ie/index.php/irishgeography/article/view/1416/1158
dc.rights© 2020, Geographical Society of Ireland. Published by Routledge – Taylor & Francis Group. All rights reserved. This is an Accepted Manuscript of an item published by Taylor & Francis in Irish Geography in November 2020, available online: https://dx.doi.org/10.2014/igj.v53i2.1416en
dc.subjectHost speciesen
dc.subjectParasitismen
dc.subjectSpecies distribution modellingen
dc.subjectTicksen
dc.subjectBiotic interactionsen
dc.titleIncorporating host-parasite biotic factors in species distribution models: Modelling the distribution of the Castor Bean tick, Ixodes ricinusen
dc.typeArticle (peer-reviewed)en
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