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Native range estimates for red-listed vascular plants

Besides 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 gl...

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Autores principales: Borgelt, Jan, Sicacha-Parada, Jorge, Skarpaas, Olav, Verones, Francesca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8964733/
https://www.ncbi.nlm.nih.gov/pubmed/35351917
http://dx.doi.org/10.1038/s41597-022-01233-5
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author Borgelt, Jan
Sicacha-Parada, Jorge
Skarpaas, Olav
Verones, Francesca
author_facet Borgelt, Jan
Sicacha-Parada, Jorge
Skarpaas, Olav
Verones, Francesca
author_sort Borgelt, Jan
collection PubMed
description Besides 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-defined 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 filtering, 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 expert-drawn species range maps are not available for conducting large-scale analyses on biodiversity patterns and associated anthropogenic impacts.
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spelling pubmed-89647332022-04-12 Native range estimates for red-listed vascular plants Borgelt, Jan Sicacha-Parada, Jorge Skarpaas, Olav Verones, Francesca Sci Data Data Descriptor Besides 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-defined 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 filtering, 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 expert-drawn species range maps are not available for conducting large-scale analyses on biodiversity patterns and associated anthropogenic impacts. Nature Publishing Group UK 2022-03-29 /pmc/articles/PMC8964733/ /pubmed/35351917 http://dx.doi.org/10.1038/s41597-022-01233-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Borgelt, Jan
Sicacha-Parada, Jorge
Skarpaas, Olav
Verones, Francesca
Native range estimates for red-listed vascular plants
title Native range estimates for red-listed vascular plants
title_full Native range estimates for red-listed vascular plants
title_fullStr Native range estimates for red-listed vascular plants
title_full_unstemmed Native range estimates for red-listed vascular plants
title_short Native range estimates for red-listed vascular plants
title_sort native range estimates for red-listed vascular plants
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8964733/
https://www.ncbi.nlm.nih.gov/pubmed/35351917
http://dx.doi.org/10.1038/s41597-022-01233-5
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