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Field dataset of punctual observations of soil properties and vegetation types distributed along soil moisture gradients in France
The interface between wetlands and uplands is characterized by gradients in hydrological, soil and biological components. Consequently, the exact spatial distribution of this transitional area is not well known because it often occurs as a fuzzy moisture gradient. However, ecological assessment and...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679573/ https://www.ncbi.nlm.nih.gov/pubmed/36425968 http://dx.doi.org/10.1016/j.dib.2022.108632 |
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author | Gayet, Guillaume Botcazou, François Gibeault-Rousseau, Jean-Manuel Hubert-Moy, Laurence Rapinel, Sébastien Lemercier, Blandine |
author_facet | Gayet, Guillaume Botcazou, François Gibeault-Rousseau, Jean-Manuel Hubert-Moy, Laurence Rapinel, Sébastien Lemercier, Blandine |
author_sort | Gayet, Guillaume |
collection | PubMed |
description | The interface between wetlands and uplands is characterized by gradients in hydrological, soil and biological components. Consequently, the exact spatial distribution of this transitional area is not well known because it often occurs as a fuzzy moisture gradient. However, ecological assessment and conservation require mapping and characterizing this interface to better understand and model biotic and abiotic interactions between wetlands and uplands. To this end, in 2021 and 2022, we observed soil properties and vegetation types along soil moisture gradients throughout the Atlantic, Continental, Mediterranean and Alpine biogeographic regions of France. The dataset contains 2 236 georeferenced plots (accuracy ± 5 m) distributed along 1 088 transects placed along the slope at 377 sites. Each plot in the database is characterized by 21 fields that describe the vegetation habitat type based on the European Nature Information System (EUNIS) and soil properties (i.e. depth of appearance and thickness of redoximorphic features in the soil profile, moisture). These data are useful for researchers and engineers in a variety of disciplines (e.g. Earth and life sciences) to calibrate and validate models to predict the spatial distribution of habitats or to analyze flows. |
format | Online Article Text |
id | pubmed-9679573 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-96795732022-11-23 Field dataset of punctual observations of soil properties and vegetation types distributed along soil moisture gradients in France Gayet, Guillaume Botcazou, François Gibeault-Rousseau, Jean-Manuel Hubert-Moy, Laurence Rapinel, Sébastien Lemercier, Blandine Data Brief Data Article The interface between wetlands and uplands is characterized by gradients in hydrological, soil and biological components. Consequently, the exact spatial distribution of this transitional area is not well known because it often occurs as a fuzzy moisture gradient. However, ecological assessment and conservation require mapping and characterizing this interface to better understand and model biotic and abiotic interactions between wetlands and uplands. To this end, in 2021 and 2022, we observed soil properties and vegetation types along soil moisture gradients throughout the Atlantic, Continental, Mediterranean and Alpine biogeographic regions of France. The dataset contains 2 236 georeferenced plots (accuracy ± 5 m) distributed along 1 088 transects placed along the slope at 377 sites. Each plot in the database is characterized by 21 fields that describe the vegetation habitat type based on the European Nature Information System (EUNIS) and soil properties (i.e. depth of appearance and thickness of redoximorphic features in the soil profile, moisture). These data are useful for researchers and engineers in a variety of disciplines (e.g. Earth and life sciences) to calibrate and validate models to predict the spatial distribution of habitats or to analyze flows. Elsevier 2022-09-23 /pmc/articles/PMC9679573/ /pubmed/36425968 http://dx.doi.org/10.1016/j.dib.2022.108632 Text en © 2022 The Authors. Published by Elsevier Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Gayet, Guillaume Botcazou, François Gibeault-Rousseau, Jean-Manuel Hubert-Moy, Laurence Rapinel, Sébastien Lemercier, Blandine Field dataset of punctual observations of soil properties and vegetation types distributed along soil moisture gradients in France |
title | Field dataset of punctual observations of soil properties and vegetation types distributed along soil moisture gradients in France |
title_full | Field dataset of punctual observations of soil properties and vegetation types distributed along soil moisture gradients in France |
title_fullStr | Field dataset of punctual observations of soil properties and vegetation types distributed along soil moisture gradients in France |
title_full_unstemmed | Field dataset of punctual observations of soil properties and vegetation types distributed along soil moisture gradients in France |
title_short | Field dataset of punctual observations of soil properties and vegetation types distributed along soil moisture gradients in France |
title_sort | field dataset of punctual observations of soil properties and vegetation types distributed along soil moisture gradients in france |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679573/ https://www.ncbi.nlm.nih.gov/pubmed/36425968 http://dx.doi.org/10.1016/j.dib.2022.108632 |
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