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A trait database and updated checklist for European subterranean spiders
Species traits are an essential currency in ecology, evolution, biogeography, and conservation biology. However, trait databases are unavailable for most organisms, especially those living in difficult-to-access habitats such as caves and other subterranean ecosystems. We compiled an expert-curated...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9135732/ https://www.ncbi.nlm.nih.gov/pubmed/35618868 http://dx.doi.org/10.1038/s41597-022-01316-3 |
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author | Mammola, Stefano Pavlek, Martina Huber, Bernhard A. Isaia, Marco Ballarin, Francesco Tolve, Marco Čupić, Iva Hesselberg, Thomas Lunghi, Enrico Mouron, Samuel Graco-Roza, Caio Cardoso, Pedro |
author_facet | Mammola, Stefano Pavlek, Martina Huber, Bernhard A. Isaia, Marco Ballarin, Francesco Tolve, Marco Čupić, Iva Hesselberg, Thomas Lunghi, Enrico Mouron, Samuel Graco-Roza, Caio Cardoso, Pedro |
author_sort | Mammola, Stefano |
collection | PubMed |
description | Species traits are an essential currency in ecology, evolution, biogeography, and conservation biology. However, trait databases are unavailable for most organisms, especially those living in difficult-to-access habitats such as caves and other subterranean ecosystems. We compiled an expert-curated trait database for subterranean spiders in Europe using both literature data (including grey literature published in many different languages) and direct morphological measurements whenever specimens were available to us. We started by updating the checklist of European subterranean spiders, now including 512 species across 20 families, of which at least 192 have been found uniquely in subterranean habitats. For each of these species, we compiled 64 traits. The trait database encompasses morphological measures, including several traits related to subterranean adaptation, and ecological traits referring to habitat preference, dispersal, and feeding strategies. By making these data freely available, we open up opportunities for exploring different research questions, from the quantification of functional dimensions of subterranean adaptation to the study of spatial patterns in functional diversity across European caves. |
format | Online Article Text |
id | pubmed-9135732 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-91357322022-05-28 A trait database and updated checklist for European subterranean spiders Mammola, Stefano Pavlek, Martina Huber, Bernhard A. Isaia, Marco Ballarin, Francesco Tolve, Marco Čupić, Iva Hesselberg, Thomas Lunghi, Enrico Mouron, Samuel Graco-Roza, Caio Cardoso, Pedro Sci Data Data Descriptor Species traits are an essential currency in ecology, evolution, biogeography, and conservation biology. However, trait databases are unavailable for most organisms, especially those living in difficult-to-access habitats such as caves and other subterranean ecosystems. We compiled an expert-curated trait database for subterranean spiders in Europe using both literature data (including grey literature published in many different languages) and direct morphological measurements whenever specimens were available to us. We started by updating the checklist of European subterranean spiders, now including 512 species across 20 families, of which at least 192 have been found uniquely in subterranean habitats. For each of these species, we compiled 64 traits. The trait database encompasses morphological measures, including several traits related to subterranean adaptation, and ecological traits referring to habitat preference, dispersal, and feeding strategies. By making these data freely available, we open up opportunities for exploring different research questions, from the quantification of functional dimensions of subterranean adaptation to the study of spatial patterns in functional diversity across European caves. Nature Publishing Group UK 2022-05-26 /pmc/articles/PMC9135732/ /pubmed/35618868 http://dx.doi.org/10.1038/s41597-022-01316-3 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 Mammola, Stefano Pavlek, Martina Huber, Bernhard A. Isaia, Marco Ballarin, Francesco Tolve, Marco Čupić, Iva Hesselberg, Thomas Lunghi, Enrico Mouron, Samuel Graco-Roza, Caio Cardoso, Pedro A trait database and updated checklist for European subterranean spiders |
title | A trait database and updated checklist for European subterranean spiders |
title_full | A trait database and updated checklist for European subterranean spiders |
title_fullStr | A trait database and updated checklist for European subterranean spiders |
title_full_unstemmed | A trait database and updated checklist for European subterranean spiders |
title_short | A trait database and updated checklist for European subterranean spiders |
title_sort | trait database and updated checklist for european subterranean spiders |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9135732/ https://www.ncbi.nlm.nih.gov/pubmed/35618868 http://dx.doi.org/10.1038/s41597-022-01316-3 |
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