Mobilisation of Data From Natural History Collections Can Increase the Quality and Coverage of Biodiversity Information

The surge of biodiversity data availability in recent decades has allowed researchers to ask questions on previously unthinkable scales, but knowledge gaps still remain. In this study, we aim to quantify potential gains to insect data on the Global Biodiversity Information Facility (GBIF) through fu...

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Detalhes bibliográficos
Autores: Blades, Bryony, Ronquillo, Cristina, Hortal, Joaquín
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/390187
Acesso em linha:http://hdl.handle.net/10261/390187
Access Level:acceso abierto
Palavra-chave:Biodiversity
Data coverage
Digitisation
GBIF
Mobilisation
Natural history collections
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spelling Mobilisation of Data From Natural History Collections Can Increase the Quality and Coverage of Biodiversity InformationBlades, BryonyRonquillo, CristinaHortal, JoaquínBiodiversityData coverageDigitisationGBIFMobilisationNatural history collectionsThe surge of biodiversity data availability in recent decades has allowed researchers to ask questions on previously unthinkable scales, but knowledge gaps still remain. In this study, we aim to quantify potential gains to insect data on the Global Biodiversity Information Facility (GBIF) through further digitisation of natural history collections, assess to what degree this would fill biases in spatial and environmental record coverage, and deepen understanding of environmental bias with regard to climate rarity. Using mainland Afrotropical records for Catharsius Hope, 1837 (Coleoptera: Scarabaeidae), we compared inventory completeness of GBIF data to a dataset which combined these with records from a recent taxonomic revision. We analysed how this improved dataset reduced regional and environmental bias in the distribution of occurrence records using an approach that identifies well-surveyed spatial units of 100 × 100km as well as emerging techniques to classify rarity of climates. We found that the number of cells for which inventory completeness could be calculated, as well as coverage of climate types by ‘well-sampled’ cells, increased threefold when using the combined set compared to the GBIF set. Improvements to sampling in Central and Western Africa were particularly striking, and coverage of rare climates was similarly improved, as not a single well-sampled cell from the GBIF data alone occurred in the rarest climate types. These findings support existing literature that suggests data gaps on GBIF are still pervasive, especially for insects and in the tropics, and so, is not yet ready to serve as a standalone data source for all taxa. However, we show that natural history collections hold the necessary information to fill many of these gaps, and their further digitisation should be a priority.This work was supported by the Department of Biology, University of Oxford; the African Natural History Research Trust Scholarship; MCIN/AEI/10.13039/501100011033/FEDER, EU; Spanish AEI projects NICED (PID2022-140985NB-C21) and SCENIC (PID2019-106840GB-C21)Peer reviewedJohn Wiley & SonsUniversity of OxfordMinisterio de Ciencia e Innovación (España)Agencia Estatal de Investigación (España)Ronquillo, Cristina [0000-0001-5945-5147]Hortal, Joaquín [0000-0002-8370-8877]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202520252025info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/390187reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/MCIN/ AEI/10.13039info:eu-repo/grantAgreement/AEI/NICED/PID2022-140985NB-C21info:eu-repo/grantAgreement/AEI/SCENIC/PID2019-106840GB-C21https://doi.org/10.1002/ece3.71139Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3901872026-05-22T06:33:51Z
dc.title.none.fl_str_mv Mobilisation of Data From Natural History Collections Can Increase the Quality and Coverage of Biodiversity Information
title Mobilisation of Data From Natural History Collections Can Increase the Quality and Coverage of Biodiversity Information
spellingShingle Mobilisation of Data From Natural History Collections Can Increase the Quality and Coverage of Biodiversity Information
Blades, Bryony
Biodiversity
Data coverage
Digitisation
GBIF
Mobilisation
Natural history collections
title_short Mobilisation of Data From Natural History Collections Can Increase the Quality and Coverage of Biodiversity Information
title_full Mobilisation of Data From Natural History Collections Can Increase the Quality and Coverage of Biodiversity Information
title_fullStr Mobilisation of Data From Natural History Collections Can Increase the Quality and Coverage of Biodiversity Information
title_full_unstemmed Mobilisation of Data From Natural History Collections Can Increase the Quality and Coverage of Biodiversity Information
title_sort Mobilisation of Data From Natural History Collections Can Increase the Quality and Coverage of Biodiversity Information
dc.creator.none.fl_str_mv Blades, Bryony
Ronquillo, Cristina
Hortal, Joaquín
author Blades, Bryony
author_facet Blades, Bryony
Ronquillo, Cristina
Hortal, Joaquín
author_role author
author2 Ronquillo, Cristina
Hortal, Joaquín
author2_role author
author
dc.contributor.none.fl_str_mv University of Oxford
Ministerio de Ciencia e Innovación (España)
Agencia Estatal de Investigación (España)
Ronquillo, Cristina [0000-0001-5945-5147]
Hortal, Joaquín [0000-0002-8370-8877]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Biodiversity
Data coverage
Digitisation
GBIF
Mobilisation
Natural history collections
topic Biodiversity
Data coverage
Digitisation
GBIF
Mobilisation
Natural history collections
description The surge of biodiversity data availability in recent decades has allowed researchers to ask questions on previously unthinkable scales, but knowledge gaps still remain. In this study, we aim to quantify potential gains to insect data on the Global Biodiversity Information Facility (GBIF) through further digitisation of natural history collections, assess to what degree this would fill biases in spatial and environmental record coverage, and deepen understanding of environmental bias with regard to climate rarity. Using mainland Afrotropical records for Catharsius Hope, 1837 (Coleoptera: Scarabaeidae), we compared inventory completeness of GBIF data to a dataset which combined these with records from a recent taxonomic revision. We analysed how this improved dataset reduced regional and environmental bias in the distribution of occurrence records using an approach that identifies well-surveyed spatial units of 100 × 100km as well as emerging techniques to classify rarity of climates. We found that the number of cells for which inventory completeness could be calculated, as well as coverage of climate types by ‘well-sampled’ cells, increased threefold when using the combined set compared to the GBIF set. Improvements to sampling in Central and Western Africa were particularly striking, and coverage of rare climates was similarly improved, as not a single well-sampled cell from the GBIF data alone occurred in the rarest climate types. These findings support existing literature that suggests data gaps on GBIF are still pervasive, especially for insects and in the tropics, and so, is not yet ready to serve as a standalone data source for all taxa. However, we show that natural history collections hold the necessary information to fill many of these gaps, and their further digitisation should be a priority.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/390187
url http://hdl.handle.net/10261/390187
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
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info:eu-repo/grantAgreement/MCIN/ AEI/10.13039
info:eu-repo/grantAgreement/AEI/NICED/PID2022-140985NB-C21
info:eu-repo/grantAgreement/AEI/SCENIC/PID2019-106840GB-C21
https://doi.org/10.1002/ece3.71139
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv John Wiley & Sons
publisher.none.fl_str_mv John Wiley & Sons
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
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