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dc.contributor.authorAraujo, M.B.
dc.contributor.authorAnderson, R.P.
dc.contributor.authorBarbosa, A.M.
dc.contributor.authorBeale, C.M.
dc.contributor.authorDormann, C.F.
dc.contributor.authorEarly, R.
dc.contributor.authorGarcia, R.A.
dc.contributor.authorGuisan, A.
dc.contributor.authorMaiorano, L.
dc.contributor.authorNaimi, B.
dc.contributor.authorO'Hara, R.B.
dc.contributor.authorZimmermann, N.E.
dc.contributor.authorRahbek, C.
dc.date.accessioned2019-03-11T10:47:18Z
dc.date.available2019-03-11T10:47:18Z
dc.date.issued2019
dc.identifier.citationAraujo, M.B.; Anderson, R.P.; Barbosa, A.M.; Beale, C.M.; Dormann, C.F.; Early, R.; Garcia, R.A.; Guisan, A.; Maiorano, L.; Naimi, B.; O’Hara, R.B.; Zimmermann, N.E.; Rahbek, C. (2019) Standards for distribution models in biodiversity assessments. Science Advances, 5(1): eaat4858en_ZA
dc.identifier.issn2375-2548en_ZA
dc.identifier.urihttp://hdl.handle.net/123456789/2622
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.en_ZA
dc.language.isoenen_ZA
dc.publisherCreative Commons Attribution NonCommercial License 4.0en_ZA
dc.titleStandards for distribution models in biodiversity assessmentsen_ZA
dc.typeJournalArticlesen_ZA
dc.cibjournalScience Advancesen_ZA
dc.cibprojectNAen_ZA


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