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dc.contributor.authorBorgelt, Jan
dc.contributor.authorParada, Jorge Sicacha
dc.contributor.authorSkarpaas, Olav
dc.contributor.authorVerones, Francesca
dc.date.accessioned2022-04-01T06:59:36Z
dc.date.available2022-04-01T06:59:36Z
dc.date.issued2022-03-29
dc.description.abstractBesides being central for understanding both global biodiversity patterns and associated anthropogenic impacts, species range maps are currently only available for a small subset of global biodiversity. Here, we provide a set of assembled spatial data for terrestrial vascular plants listed at the global IUCN red list. The dataset consists of pre-defned native regions for 47,675 species, density of available native occurrence records for 30,906 species, and standardized, large-scale Maxent predictions for 27,208 species, highlighting environmentally suitable areas within species’ native regions. The data was generated in an automated approach consisting of data scraping and fltering, variable selection, model calibration and model selection. Generated Maxent predictions were validated by comparing a subset to available expert-drawn range maps from IUCN (n=4,257), as well as by qualitatively inspecting predictions for randomly selected species. We expect this data to serve as a substitute whenever expertdrawn species range maps are not available for conducting large-scale analyses on biodiversity patterns and associated anthropogenic impacts.en_US
dc.identifier.citationBorgelt, Parada, Skarpaas, Verones. Native range estimates for red-listed vascular plants. Scientific Data. 2022en_US
dc.identifier.cristinIDFRIDAID 2014005
dc.identifier.doi10.1038/s41597-022-01233-5
dc.identifier.issn2052-4463
dc.identifier.urihttps://hdl.handle.net/10037/24675
dc.language.isoengen_US
dc.publisherNatureen_US
dc.relation.journalScientific Data
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2022 The Author(s)en_US
dc.titleNative range estimates for red-listed vascular plantsen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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