Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/18889
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dc.contributor.authorShabani, Farzinen
dc.contributor.authorKumar, Laliten
dc.date.accessioned2016-04-15T10:02:00Z-
dc.date.issued2015-
dc.identifier.citationEcological Informatics, 29(1), p. 57-65en
dc.identifier.issn1878-0512en
dc.identifier.issn1574-9541en
dc.identifier.urihttps://hdl.handle.net/1959.11/18889-
dc.description.abstractThis study investigated the importance of the use of appropriate species distribution records in projecting potential distributions under climate change using comparative bioclimatic models and alternative sets of data (native and exotic) to project a species in a new environment. We built bioclimatic models for date palm ('Phoenix dactylifera' L.), using the MaxEnt correlative model and the CLIMEX mechanistic niche model, and fitted the models using three training data sets: native data only, exotic data only and entire data. We compared the ability of the different data sets using the different modelling approaches to project suitable climate envelope for independent records of the species at a global scale. We found that the output of projected species distributions was closely related to the modelling approach as well as the specific categorized distribution of species data used (native data only, exotic data only and entire data).en
dc.languageenen
dc.publisherElsevier BVen
dc.relation.ispartofEcological Informaticsen
dc.titleShould species distribution models use only native or exotic records of existence or both?en
dc.typeJournal Articleen
dc.identifier.doi10.1016/j.ecoinf.2015.07.006en
dc.subject.keywordsEnvironmental Managementen
dc.subject.keywordsLandscape Ecologyen
dc.subject.keywordsNatural Resource Managementen
local.contributor.firstnameFarzinen
local.contributor.firstnameLaliten
local.subject.for2008050205 Environmental Managementen
local.subject.for2008050104 Landscape Ecologyen
local.subject.for2008050209 Natural Resource Managementen
local.subject.seo2008960805 Flora, Fauna and Biodiversity at Regional or Larger Scalesen
local.subject.seo2008960501 Ecosystem Assessment and Management at Regional or Larger Scalesen
local.subject.seo2008960604 Environmental Management Systemsen
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.identifier.epublicationsrecordune-20160323-110048en
local.publisher.placeNetherlandsen
local.format.startpage57en
local.format.endpage65en
local.peerreviewedYesen
local.identifier.volume29en
local.identifier.issue1en
local.contributor.lastnameShabanien
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.identifier.unepublicationidune:19090en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleShould species distribution models use only native or exotic records of existence or both?en
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorShabani, Farzinen
local.search.authorKumar, Laliten
local.uneassociationUnknownen
local.identifier.wosid000361776200007en
local.year.published2015en
local.subject.for2020410404 Environmental managementen
local.subject.for2020410206 Landscape ecologyen
local.subject.for2020410406 Natural resource managementen
local.subject.seo2020180403 Assessment and management of Antarctic and Southern Ocean ecosystemsen
local.subject.seo2020189999 Other environmental management not elsewhere classifieden
Appears in Collections:Journal Article
School of Environmental and Rural Science
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