Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/117935
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dc.contributor.authorYates, K.en
dc.contributor.authorBouchet, P.en
dc.contributor.authorCaley, M.en
dc.contributor.authorMengersen, K.en
dc.contributor.authorRandin, C.en
dc.contributor.authorParnell, S.en
dc.contributor.authorFielding, A.en
dc.contributor.authorBamford, A.en
dc.contributor.authorBan, S.en
dc.contributor.authorBarbosa, A.en
dc.contributor.authorDormann, C.en
dc.contributor.authorElith, J.en
dc.contributor.authorEmbling, C.en
dc.contributor.authorErvin, G.en
dc.contributor.authorFisher, R.en
dc.contributor.authorGould, S.en
dc.contributor.authorGraf, R.en
dc.contributor.authorGregr, E.en
dc.contributor.authorHalpin, P.en
dc.contributor.authorHeikkinen, R.en
dc.contributor.authoret al.en
dc.date.issued2018en
dc.identifier.citationTrends in Ecology and Evolution, 2018; 33(10):790-802en
dc.identifier.issn0169-5347en
dc.identifier.issn1872-8383en
dc.identifier.urihttp://hdl.handle.net/2440/117935-
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.en
dc.description.statementofresponsibilityKatherine L. Yates ... Alice R. Jones ... et al.en
dc.language.isoenen
dc.publisherElsevieren
dc.rights© 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-ncnd/ 4.0/).en
dc.subjectPredictive modeling; extrapolation; generality; habitat models; model transfers; species distribution models; uncertaintyen
dc.titleOutstanding challenges in the transferability of ecological modelsen
dc.typeJournal articleen
dc.identifier.rmid0030097135en
dc.identifier.doi10.1016/j.tree.2018.08.001en
dc.relation.granthttp://purl.org/au-research/grants/arc/DE170100841en
dc.relation.granthttp://purl.org/au-research/grants/arc/DE140100701en
dc.relation.granthttp://purl.org/au-research/grants/arc/CE1101014en
dc.identifier.pubid436539-
pubs.library.collectionEarth and Environmental Sciences publicationsen
pubs.library.teamDS05en
pubs.verification-statusVerifieden
pubs.publication-statusPublisheden
dc.identifier.orcidJones, A. [0000-0002-6157-2024]en
dc.identifier.orcidMellin, C. [0000-0002-7369-2349]en
Appears in Collections:Earth and Environmental Sciences publications

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