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Current GBIF occurrence data demonstrates both promise and limitations for potential red listing of spiders

Abstract. Conservation assessments of hyperdiverse groups of organisms are often challenging and limited by the availability of occurrence data needed to calculate assessment metrics such as extent of occurrence (EOO). Spiders represent one such diverse group and have historically been assessed usin...

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Autores principales: Shirey, Vaughn, Seppälä, Sini, Branco, Vasco Veiga, Cardoso, Pedro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pensoft Publishers 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6933025/
https://www.ncbi.nlm.nih.gov/pubmed/31885463
http://dx.doi.org/10.3897/BDJ.7.e47369
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author Shirey, Vaughn
Seppälä, Sini
Branco, Vasco Veiga
Cardoso, Pedro
author_facet Shirey, Vaughn
Seppälä, Sini
Branco, Vasco Veiga
Cardoso, Pedro
author_sort Shirey, Vaughn
collection PubMed
description Abstract. Conservation assessments of hyperdiverse groups of organisms are often challenging and limited by the availability of occurrence data needed to calculate assessment metrics such as extent of occurrence (EOO). Spiders represent one such diverse group and have historically been assessed using primary literature with retrospective georeferencing. Here we demonstrate the differences in estimations of EOO and hypothetical IUCN Red List classifications for two extensive spider datasets comprising 479 species in total. The EOO were estimated and compared using literature-based assessments, Global Biodiversity Information Facility (GBIF)-based assessments and combined data assessments. We found that although few changes to hypothetical IUCN Red List classifications occurred with the addition of GBIF data, some species (3.3%) which could previously not be classified could now be assessed with the addition of GBIF data. In addition, the hypothetical classification changed for others (1.5%). On the other hand, GBIF data alone did not provide enough data for 88.7% of species. These results demonstrate the potential of GBIF data to serve as an additional source of information for conservation assessments, complementing literature data, but not particularly useful on its own as it stands right now for spiders.
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spelling pubmed-69330252019-12-27 Current GBIF occurrence data demonstrates both promise and limitations for potential red listing of spiders Shirey, Vaughn Seppälä, Sini Branco, Vasco Veiga Cardoso, Pedro Biodivers Data J Research Article Abstract. Conservation assessments of hyperdiverse groups of organisms are often challenging and limited by the availability of occurrence data needed to calculate assessment metrics such as extent of occurrence (EOO). Spiders represent one such diverse group and have historically been assessed using primary literature with retrospective georeferencing. Here we demonstrate the differences in estimations of EOO and hypothetical IUCN Red List classifications for two extensive spider datasets comprising 479 species in total. The EOO were estimated and compared using literature-based assessments, Global Biodiversity Information Facility (GBIF)-based assessments and combined data assessments. We found that although few changes to hypothetical IUCN Red List classifications occurred with the addition of GBIF data, some species (3.3%) which could previously not be classified could now be assessed with the addition of GBIF data. In addition, the hypothetical classification changed for others (1.5%). On the other hand, GBIF data alone did not provide enough data for 88.7% of species. These results demonstrate the potential of GBIF data to serve as an additional source of information for conservation assessments, complementing literature data, but not particularly useful on its own as it stands right now for spiders. Pensoft Publishers 2019-12-19 /pmc/articles/PMC6933025/ /pubmed/31885463 http://dx.doi.org/10.3897/BDJ.7.e47369 Text en Vaughn Shirey, Sini Seppälä, Vasco Veiga Branco, Pedro Cardoso http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Shirey, Vaughn
Seppälä, Sini
Branco, Vasco Veiga
Cardoso, Pedro
Current GBIF occurrence data demonstrates both promise and limitations for potential red listing of spiders
title Current GBIF occurrence data demonstrates both promise and limitations for potential red listing of spiders
title_full Current GBIF occurrence data demonstrates both promise and limitations for potential red listing of spiders
title_fullStr Current GBIF occurrence data demonstrates both promise and limitations for potential red listing of spiders
title_full_unstemmed Current GBIF occurrence data demonstrates both promise and limitations for potential red listing of spiders
title_short Current GBIF occurrence data demonstrates both promise and limitations for potential red listing of spiders
title_sort current gbif occurrence data demonstrates both promise and limitations for potential red listing of spiders
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6933025/
https://www.ncbi.nlm.nih.gov/pubmed/31885463
http://dx.doi.org/10.3897/BDJ.7.e47369
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