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Phytoplankton morpho-functional trait dataset from French water-bodies
In lake ecosystems, phytoplankton communities can be studied by adopting taxonomic-based approaches. However, these approaches suffer from identification issues and are sometimes of limited ecosystem ecological value. The recent development of functional approaches may allow an evaluation of other a...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7854579/ https://www.ncbi.nlm.nih.gov/pubmed/33531503 http://dx.doi.org/10.1038/s41597-021-00814-0 |
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author | Laplace-Treyture, Christophe Derot, Jonathan Prévost, Emilie Le Mat, Anne Jamoneau, Aurélien |
author_facet | Laplace-Treyture, Christophe Derot, Jonathan Prévost, Emilie Le Mat, Anne Jamoneau, Aurélien |
author_sort | Laplace-Treyture, Christophe |
collection | PubMed |
description | In lake ecosystems, phytoplankton communities can be studied by adopting taxonomic-based approaches. However, these approaches suffer from identification issues and are sometimes of limited ecosystem ecological value. The recent development of functional approaches may allow an evaluation of other aspects of ecosystem quality, functions and interactions with abiotic parameters or other communities. Here, our aim was to create a phytoplankton trait database at the French scale. This database will be relevant for the analysis of phytoplankton communities that will lead to a better understanding of phytoplankton functional ecology in lakes of France and other European countries possessing similar biological communities. We used a French national database of phytoplankton occurrences sampled from 384 lakes over the entire French metropolitan territory. A final list of 636 taxa was used to compile 53 morpho-functional traits associated with taxonomic information. The traits encompassed variables such as shape, biovolume, motility, toxin production and Reynolds groups. With this new database, we aim to provide data for morpho-functional analyses of phytoplankton assemblages from local to European scale. |
format | Online Article Text |
id | pubmed-7854579 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78545792021-02-11 Phytoplankton morpho-functional trait dataset from French water-bodies Laplace-Treyture, Christophe Derot, Jonathan Prévost, Emilie Le Mat, Anne Jamoneau, Aurélien Sci Data Data Descriptor In lake ecosystems, phytoplankton communities can be studied by adopting taxonomic-based approaches. However, these approaches suffer from identification issues and are sometimes of limited ecosystem ecological value. The recent development of functional approaches may allow an evaluation of other aspects of ecosystem quality, functions and interactions with abiotic parameters or other communities. Here, our aim was to create a phytoplankton trait database at the French scale. This database will be relevant for the analysis of phytoplankton communities that will lead to a better understanding of phytoplankton functional ecology in lakes of France and other European countries possessing similar biological communities. We used a French national database of phytoplankton occurrences sampled from 384 lakes over the entire French metropolitan territory. A final list of 636 taxa was used to compile 53 morpho-functional traits associated with taxonomic information. The traits encompassed variables such as shape, biovolume, motility, toxin production and Reynolds groups. With this new database, we aim to provide data for morpho-functional analyses of phytoplankton assemblages from local to European scale. Nature Publishing Group UK 2021-02-02 /pmc/articles/PMC7854579/ /pubmed/33531503 http://dx.doi.org/10.1038/s41597-021-00814-0 Text en © The Author(s) 2021 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/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Laplace-Treyture, Christophe Derot, Jonathan Prévost, Emilie Le Mat, Anne Jamoneau, Aurélien Phytoplankton morpho-functional trait dataset from French water-bodies |
title | Phytoplankton morpho-functional trait dataset from French water-bodies |
title_full | Phytoplankton morpho-functional trait dataset from French water-bodies |
title_fullStr | Phytoplankton morpho-functional trait dataset from French water-bodies |
title_full_unstemmed | Phytoplankton morpho-functional trait dataset from French water-bodies |
title_short | Phytoplankton morpho-functional trait dataset from French water-bodies |
title_sort | phytoplankton morpho-functional trait dataset from french water-bodies |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7854579/ https://www.ncbi.nlm.nih.gov/pubmed/33531503 http://dx.doi.org/10.1038/s41597-021-00814-0 |
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