Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/29931
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dc.contributor.authorShabani, Farzinen
dc.contributor.authorTehrany, Mahyat Shafapouren
dc.contributor.authorSolhjouy-fard, Samanehen
dc.contributor.authorKumar, Laliten
dc.date.accessioned2021-01-21T02:52:35Z-
dc.date.available2021-01-21T02:52:35Z-
dc.date.issued2018-03-19-
dc.identifier.citationPeerJ, p. 1-25en
dc.identifier.issn2167-8359en
dc.identifier.urihttps://hdl.handle.net/1959.11/29931-
dc.descriptionSupplementary data to this article can be found online at <a href="https://doi.org/10.7717/peerj.4474/supp-1">https://doi.org/10.7717/peerj.4474/supp-1</a> and <a href="https://doi.org/10.7717/peerj.4474/supp-2">https://doi.org/10.7717/peerj.4474/supp-2</a>en
dc.description.abstractAedes albopictus, the Asian Tiger Mosquito, vector of Chikungunya, Dengue Fever and Zika viruses, has proven its hardy adaptability in expansion from its natural Asian, forest edge, tree hole habitat on the back of international trade transportation, re-establishing in temperate urban surrounds, in a range of water receptacles and semi-enclosures of organic matter. Conventional aerial spray mosquito vector controls focus on wetland and stagnant water expanses, proven to miss the protected hollows and crevices favoured by Ae. albopictus. New control or eradication strategies are thus essential, particular in light of potential expansions in the southeastern and eastern USA. Successful regional vector control strategies require risk level analysis. Should strategies prioritize regions with non-climatic or climatic suitability parameters for Ae. albopictus? Our study used current Ae. albopictus distribution data to develop two independent models: (i) regions with suitable non-climatic factors, and (ii) regions with suitable climate for Ae. albopictus in southeastern USA. Non-climatic model processing used Evidential Belief Function (EBF), together with six geographical conditioning factors (raster data layers), to establish the probability index. Validation of the analysis results was estimated with area under the curve (AUC) using Ae. albopictus presence data. Climatic modeling was based on two General Circulation Models (GCMs), Miroc3.2 and CSIRO-MK30 running the RCP 8.5 scenario in MaxEnt software. EBF non-climatic model results achieved a 0.70 prediction rate and 0.73 success rate, confirming suitability of the study site regions for Ae. albopictus establishment. The climatic model results showed the best-fit model comprised Coldest Quarter Mean Temp, Precipitation of Wettest Quarter and Driest Quarter Precipitation factors with mean AUC value of 0.86. Both GCMs showed that the whole study site is highly suitable and will remain suitable climatically, according to the prediction for 2055, for Ae. albopictus expansion.en
dc.languageenen
dc.publisherPeerJ, Ltden
dc.relation.ispartofPeerJen
dc.relation.urihttps://doi.org/10.7717/peerj.4474/supp-1en
dc.relation.urihttps://doi.org/10.7717/peerj.4474/supp-2en
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleA comparative modeling study on non-climatic and climatic risk assessment on Asian Tiger Mosquito (Aedes albopictus)en
dc.typeJournal Articleen
dc.identifier.doi10.7717/peerj.4474en
dc.identifier.pmid29576954en
dcterms.accessRightsUNE Greenen
local.contributor.firstnameFarzinen
local.contributor.firstnameMahyat Shafapouren
local.contributor.firstnameSamanehen
local.contributor.firstnameLaliten
local.subject.for2008050204 Environmental Impact Assessmenten
local.subject.for2008070308 Crop and Pasture Protection (Pests, Diseases and Weeds)en
local.subject.seo2008960305 Ecosystem Adaptation to Climate Changeen
local.subject.seo2008960413 Control of Plant Pests, Diseases and Exotic Species in Farmland, Arable Cropland and Permanent Cropland Environmentsen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailfshaban2@une.edu.auen
local.profile.emaillkumar@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeUnited Kingdomen
local.identifier.runningnumbere4474en
local.format.startpage1en
local.format.endpage25en
local.peerreviewedYesen
local.access.fulltextYesen
local.contributor.lastnameShabanien
local.contributor.lastnameTehranyen
local.contributor.lastnameSolhjouy-farden
local.contributor.lastnameKumaren
dc.identifier.staffune-id:fshaban2en
dc.identifier.staffune-id:lkumaren
local.profile.orcid0000-0002-9205-756Xen
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/29931en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleA comparative modeling study on non-climatic and climatic risk assessment on Asian Tiger Mosquito (Aedes albopictus)en
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorShabani, Farzinen
local.search.authorTehrany, Mahyat Shafapouren
local.search.authorSolhjouy-fard, Samanehen
local.search.authorKumar, Laliten
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/8cdbb0a2-d27c-44ed-bc17-43e1c59b2f76en
local.uneassociationYesen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.identifier.wosid000427787500004en
local.year.published2018en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/8cdbb0a2-d27c-44ed-bc17-43e1c59b2f76en
local.fileurl.openpublishedhttps://rune.une.edu.au/web/retrieve/8cdbb0a2-d27c-44ed-bc17-43e1c59b2f76en
local.subject.for2020410402 Environmental assessment and monitoringen
local.subject.for2020300409 Crop and pasture protection (incl. pests, diseases and weeds)en
local.subject.seo2020190102 Ecosystem adaptation to climate changeen
local.subject.seo2020180602 Control of pests, diseases and exotic species in terrestrial environmentsen
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School of Environmental and Rural Science
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