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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...

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Autores principales: Laplace-Treyture, Christophe, Derot, Jonathan, Prévost, Emilie, Le Mat, Anne, Jamoneau, Aurélien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
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.
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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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