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dc.contributor.authorAraújo, Miguel B.
dc.contributor.authorAnderson, Robert P.
dc.contributor.authorBarbosa, A. Márcia
dc.contributor.authorBeale, Colin M.
dc.contributor.authorDormann, Carsten F.
dc.contributor.authorEarly, Regan
dc.contributor.authorGarcia, Raquel A.
dc.contributor.authorGuisan, Antoine
dc.contributor.authorMaiorano, Luigi
dc.contributor.authorNaimi, Babak
dc.contributor.authorOHara, Robert Brian
dc.contributor.authorZimmermann, Niklaus E.
dc.contributor.authorRahbek, Carsten
dc.identifier.citationScience Advances. 2019, 5 (1), .nb_NO
dc.description.abstractDemand for models in biodiversity assessments is rising, but which models are adequate for the task? We propose a set of best-practice standards and detailed guidelines enabling scoring of studies based on species distribution models for use in biodiversity assessments. We reviewed and scored 400 modeling studies over the past 20 years using the proposed standards and guidelines. We detected low model adequacy overall, but with a marked tendency of improvement over time in model building and, to a lesser degree, in biological data and model evaluation. We argue that implementation of agreed-upon standards for models in biodiversity assessments would promote transparency and repeatability, eventually leading to higher quality of the models and the inferences used in assessments. We encourage broad community participation toward the expansion and ongoing development of the proposed standards and guidelines.nb_NO
dc.publisherAmerican Association for the Advancement of Sciencenb_NO
dc.rightsNavngivelse-Ikkekommersiell 4.0 Internasjonal*
dc.titleStandards for distribution models in biodiversity assessmentsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.source.journalScience Advancesnb_NO
dc.description.localcodeCopyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license, which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.nb_NO
cristin.unitnameInstitutt for matematiske fag

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Navngivelse-Ikkekommersiell 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse-Ikkekommersiell 4.0 Internasjonal