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Global patterns of fern species diversity: An evaluation of fern data in GBIF

Despite that several studies have shown that data derived from species lists generated from distribution occurrence records in the Global Biodiversity Information Facility (GBIF) are not appropriate for those ecological and biogeographic studies that require high sampling completeness, because speci...

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Autores principales: Qian, Hong, Zhang, Jian, Jiang, Mei-Chen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Kunming Institute of Botany, Chinese Academy of Sciences 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9043408/
https://www.ncbi.nlm.nih.gov/pubmed/35505988
http://dx.doi.org/10.1016/j.pld.2021.10.001
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author Qian, Hong
Zhang, Jian
Jiang, Mei-Chen
author_facet Qian, Hong
Zhang, Jian
Jiang, Mei-Chen
author_sort Qian, Hong
collection PubMed
description Despite that several studies have shown that data derived from species lists generated from distribution occurrence records in the Global Biodiversity Information Facility (GBIF) are not appropriate for those ecological and biogeographic studies that require high sampling completeness, because species lists derived from GBIF are generally very incomplete, Suissa et al. (2021) generated fern species lists based on data with GBIF for 100 km × 100 km grid cells across the world, and used the data to determine fern diversity hotspots and species richness–climate relationships. We conduct an evaluation on the completeness of fern species lists derived from GBIF at the grid–cell scale and at a larger spatial scale, and determine whether fern data derived from GBIF are appropriate for studies on the relations of species composition and richness with climatic variables. We show that species sampling completeness of GBIF is low (<40%) for most of the grid cells examined, and such low sampling completeness can substantially bias the investigation of geographic and ecological patterns of species diversity and the identification of diversity hotspots. We conclude that fern species lists derived from GBIF are generally very incomplete across a wide range of spatial scales, and are not appropriate for studies that require data derived from species lists in high completeness. We present a map showing global patterns of fern species diversity based on complete or nearly complete regional fern species lists.
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spelling pubmed-90434082022-05-02 Global patterns of fern species diversity: An evaluation of fern data in GBIF Qian, Hong Zhang, Jian Jiang, Mei-Chen Plant Divers Research Paper Despite that several studies have shown that data derived from species lists generated from distribution occurrence records in the Global Biodiversity Information Facility (GBIF) are not appropriate for those ecological and biogeographic studies that require high sampling completeness, because species lists derived from GBIF are generally very incomplete, Suissa et al. (2021) generated fern species lists based on data with GBIF for 100 km × 100 km grid cells across the world, and used the data to determine fern diversity hotspots and species richness–climate relationships. We conduct an evaluation on the completeness of fern species lists derived from GBIF at the grid–cell scale and at a larger spatial scale, and determine whether fern data derived from GBIF are appropriate for studies on the relations of species composition and richness with climatic variables. We show that species sampling completeness of GBIF is low (<40%) for most of the grid cells examined, and such low sampling completeness can substantially bias the investigation of geographic and ecological patterns of species diversity and the identification of diversity hotspots. We conclude that fern species lists derived from GBIF are generally very incomplete across a wide range of spatial scales, and are not appropriate for studies that require data derived from species lists in high completeness. We present a map showing global patterns of fern species diversity based on complete or nearly complete regional fern species lists. Kunming Institute of Botany, Chinese Academy of Sciences 2021-10-27 /pmc/articles/PMC9043408/ /pubmed/35505988 http://dx.doi.org/10.1016/j.pld.2021.10.001 Text en © 2021 Kunming Institute of Botany, Chinese Academy of Sciences. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co., Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Paper
Qian, Hong
Zhang, Jian
Jiang, Mei-Chen
Global patterns of fern species diversity: An evaluation of fern data in GBIF
title Global patterns of fern species diversity: An evaluation of fern data in GBIF
title_full Global patterns of fern species diversity: An evaluation of fern data in GBIF
title_fullStr Global patterns of fern species diversity: An evaluation of fern data in GBIF
title_full_unstemmed Global patterns of fern species diversity: An evaluation of fern data in GBIF
title_short Global patterns of fern species diversity: An evaluation of fern data in GBIF
title_sort global patterns of fern species diversity: an evaluation of fern data in gbif
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9043408/
https://www.ncbi.nlm.nih.gov/pubmed/35505988
http://dx.doi.org/10.1016/j.pld.2021.10.001
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