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dc.contributor.authorYates, KL
dc.contributor.authorBouchet, PJ
dc.contributor.authorCaley, MJ
dc.contributor.authorMengersen, K
dc.contributor.authorRandin, CF
dc.contributor.authorParnell, S
dc.contributor.authorFielding, AH
dc.contributor.authorBamford, AJ
dc.contributor.authorBan, S
dc.contributor.authorBarbosa, AM
dc.contributor.authorDormann, CF
dc.contributor.authorElith, J
dc.contributor.authorEmbling, Clare
dc.contributor.authorErvin, GN
dc.contributor.authorFisher, R
dc.contributor.authorGould, S
dc.contributor.authorGraf, RF
dc.contributor.authorGregr, EJ
dc.contributor.authorHalpin, PN
dc.contributor.authorHeikkinen, RK
dc.contributor.authorHeinänen, S
dc.contributor.authorJones, AR
dc.contributor.authorKrishnakumar, PK
dc.contributor.authorLauria, V
dc.contributor.authorLozano-Montes, H
dc.contributor.authorMannocci, L
dc.contributor.authorMellin, C
dc.contributor.authorMesgaran, MB
dc.contributor.authorMoreno-Amat, E
dc.contributor.authorMormede, S
dc.contributor.authorNovaczek, E
dc.contributor.authorOppel, S
dc.contributor.authorOrtuño Crespo, G
dc.contributor.authorPeterson, AT
dc.contributor.authorRapacciuolo, G
dc.contributor.authorRoberts, JJ
dc.contributor.authorRoss, Rebecca
dc.contributor.authorScales, KL
dc.contributor.authorSchoeman, D
dc.contributor.authorSnelgrove, P
dc.contributor.authorSundblad, G
dc.contributor.authorThuiller, W
dc.contributor.authorTorres, LG
dc.contributor.authorVerbruggen, H
dc.contributor.authorWang, L
dc.contributor.authorWenger, S
dc.contributor.authorWhittingham, MJ
dc.contributor.authorZharikov, Y
dc.contributor.authorZurell, D
dc.contributor.authorSequeira, AMM
dc.date.accessioned2021-10-19T10:09:10Z
dc.date.issued2018-10-01
dc.identifier.issn0169-5347
dc.identifier.issn1872-8383
dc.identifier.urihttp://hdl.handle.net/10026.1/18101
dc.description.abstract

Predictive models are central to many scientific disciplines and vital for informing management in a rapidly changing world. However, limited understanding of the accuracy and precision of models transferred to novel conditions (their 'transferability') undermines confidence in their predictions. Here, 50 experts identified priority knowledge gaps which, if filled, will most improve model transfers. These are summarized into six technical and six fundamental challenges, which underlie the combined need to intensify research on the determinants of ecological predictability, including species traits and data quality, and develop best practices for transferring models. Of high importance is the identification of a widely applicable set of transferability metrics, with appropriate tools to quantify the sources and impacts of prediction uncertainty under novel conditions

dc.format.extent790-802
dc.format.mediumPrint-Electronic
dc.languageen
dc.language.isoen
dc.publisherCell Press
dc.subjectPredictive modeling
dc.subjectextrapolation
dc.subjectgenerality
dc.subjecthabitat models
dc.subjectmodel transfers
dc.subjectspecies distribution models
dc.subjectuncertainty
dc.subjectEcology
dc.subjectModels, Biological
dc.titleOutstanding Challenges in the Transferability of Ecological Models
dc.typejournal-article
dc.typeJournal Article
dc.typeResearch Support, Non-U.S. Gov't
dc.typeResearch Support, U.S. Gov't, Non-P.H.S.
dc.typeReview
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000447963700008&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.issue10
plymouth.volume33
plymouth.publication-statusPublished
plymouth.journalTrends in Ecology and Evolution
dc.identifier.doi10.1016/j.tree.2018.08.001
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Biological and Marine Sciences
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA07 Earth Systems and Environmental Sciences
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dc.publisher.placeEngland
dcterms.dateAccepted2018-01-01
dc.rights.embargodate2021-10-20
dc.identifier.eissn1872-8383
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.1016/j.tree.2018.08.001
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2018-10-01
rioxxterms.typeJournal Article/Review


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