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dc.contributor.authorYates, Katherine L.
dc.contributor.authorBouchet, Phil J.
dc.contributor.authorCaley, M. Julian
dc.contributor.authorMengersen, Kerrie
dc.contributor.authorRandin, Christophe F.
dc.contributor.authorParnell, Stephen
dc.contributor.authorFielding, Alan H.
dc.contributor.authorBamford, Andrew J.
dc.contributor.authorBan, Stephen
dc.contributor.authorMárcia Barbosa, A.
dc.contributor.authorDormann, Carsten F.
dc.contributor.authorElith, Jane
dc.contributor.authorEmbling, Clare B.
dc.contributor.authorErvin, Gary N.
dc.contributor.authorFisher, Rebecca
dc.contributor.authorGould, Susan
dc.contributor.authorGraf, Roland F.
dc.contributor.authorGregr, Edward J.
dc.contributor.authorHalpin, Patrick N.
dc.contributor.authorHeikkinen, Risto K.
dc.contributor.authorHeinänen, Stefan
dc.contributor.authorJones, Alice R.
dc.contributor.authorKrishnakumar, Periyadan K.
dc.contributor.authorLauria, Valentina
dc.contributor.authorLozano-Montes, Hector
dc.contributor.authorMannocci, Laura
dc.contributor.authorMellin, Camille
dc.contributor.authorMesgaran, Mohsen B.
dc.contributor.authorMoreno-Amat, Elena
dc.contributor.authorMormede, Sophie
dc.contributor.authorNovaczek, Emilie
dc.contributor.authorOppel, Steffen
dc.contributor.authorCrespo, Guillermo Ortuño
dc.contributor.authorTownsend Peterson, A.
dc.contributor.authorRapacciuolo, Giovanni
dc.contributor.authorRoberts, Jason J.
dc.contributor.authorRoss, Rebecca E.
dc.contributor.authorScales, Kylie L.
dc.contributor.authorSchoeman, David
dc.contributor.authorSnelgrove, Paul
dc.contributor.authorSundblad, Göran
dc.contributor.authorThuiller, Wilfried
dc.contributor.authorTorres, Leigh G.
dc.contributor.authorVerbruggen, Heroen
dc.contributor.authorWang, Lifei
dc.contributor.authorWenger, Seth
dc.contributor.authorWhittingham, Mark J.
dc.contributor.authorZharikov, Yuri
dc.contributor.authorZurell, Damaris
dc.contributor.authorSequeira, Ana M. M.
dc.date.accessioned2020-01-06T11:30:08Z
dc.date.available2020-01-06T11:30:08Z
dc.date.issued2018-10
dc.identifier.citationYates , K L , Bouchet , P J , Caley , M J , Mengersen , K , Randin , C F , Parnell , S , Fielding , A H , Bamford , A J , Ban , S , Márcia Barbosa , A , Dormann , C F , Elith , J , Embling , C B , Ervin , G N , Fisher , R , Gould , S , Graf , R F , Gregr , E J , Halpin , P N , Heikkinen , R K , Heinänen , S , Jones , A R , Krishnakumar , P K , Lauria , V , Lozano-Montes , H , Mannocci , L , Mellin , C , Mesgaran , M B , Moreno-Amat , E , Mormede , S , Novaczek , E , Oppel , S , Crespo , G O , Townsend Peterson , A , Rapacciuolo , G , Roberts , J J , Ross , R E , Scales , K L , Schoeman , D , Snelgrove , P , Sundblad , G , Thuiller , W , Torres , L G , Verbruggen , H , Wang , L , Wenger , S , Whittingham , M J , Zharikov , Y , Zurell , D & Sequeira , A M M 2018 , ' Outstanding challenges in the transferability of ecological models ' , Trends in Ecology and Evolution , vol. 33 , no. 10 , pp. 790-802 . https://doi.org/10.1016/j.tree.2018.08.001en
dc.identifier.issn0169-5347
dc.identifier.otherPURE: 264697256
dc.identifier.otherPURE UUID: f46ed00b-761a-46d8-bf44-d9f8cc27c99c
dc.identifier.otherWOS: 000447963700008
dc.identifier.otherScopus: 85052314540
dc.identifier.urihttp://hdl.handle.net/10023/19222
dc.description.abstractPredictive 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.extent13
dc.language.isoeng
dc.relation.ispartofTrends in Ecology and Evolutionen
dc.rightsCopyright © 2018 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).en
dc.subjectSpecies distribution modelen
dc.subjectClimate-changeen
dc.subjectDecision-makingen
dc.subjectTemporal transferabilityen
dc.subjectBiotic interactionsen
dc.subjectPredictive modelsen
dc.subjectHabitat selectionen
dc.subjectDistributionsen
dc.subjectNIcheen
dc.subjectAbundanceen
dc.subjectGE Environmental Sciencesen
dc.subjectQA Mathematicsen
dc.subjectQH301 Biologyen
dc.subject.lccGEen
dc.subject.lccQAen
dc.subject.lccQH301en
dc.titleOutstanding challenges in the transferability of ecological modelsen
dc.typeJournal itemen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews.School of Mathematics and Statisticsen
dc.identifier.doihttps://doi.org/10.1016/j.tree.2018.08.001
dc.description.statusPeer revieweden


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