Format du dépôt |
Fichier |
Type de dépôt |
Article dans une revue (data paper) |
Titre |
en
Field dataset of punctual observations of soil properties and vegetation types distributed along soil moisture gradients in France
|
Résumé |
en
Grassland habitats provide many ecosystem services but are threatened by agricultural intensification and urbanization. While the lack of accurate and comprehensive inventories at the national scale makes them difficult to manage, advances in spatial modeling using open remote sensing data and open-source software, as well as the increasing use of ecological archives, provide new perspectives for mapping natural habitats. In this context, this study evaluated the contribution of spectral and environmental variables to discriminate and then map grassland habitats throughout France. To this end, 92 spectral variables derived from moderate-resolution imaging spectroradiometer data, 19 bioclimatic variables derived from WorldClim data, 4 topographic variables derived from the European Union Digital Elevation Model (DEM), and 8 soil variables derived from SoilGrids data were combined at a spatial resolution of 250 m. Reference plots that characterized 6 and 21 grassland ecosystems at European Nature Information System (EUNIS) levels 2 (broad habitats) and 3 (habitats), respectively, were collected from vegetation archives. We first performed descriptive analysis that included habitat description, ordination, and pairwise separability. We then performed predictive analysis of grassland habitats using a cross-validated random forest model that included a spatial constraint. While environmental and spectral variables characterized most grassland habitats well and consistently, some confusion occurred between habitats with similar abiotic conditions. The main grassland habitat types were correctly mapped at EUNIS level 2 ( F1 score = 0.68), but not at EUNIS level 3 ( F1 score = 0.52). In addition, the two variables that contributed most to the model were the near-infrared spectral band in spring and the minimum temperature of the coldest month. The model’s prediction at EUNIS level 2 for mainland France provides the map of grassland habitats at a new spatial scale.
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Auteur(s)
|
Guillaume Gayet
1
, François Botcazou
2, 1
, Jean-Manuel Gibeault-Rousseau
2, 1
, Laurence Hubert-Moy
3
, Sébastien Rapinel
3
, Blandine Lemercier
2
1
PatriNat -
Patrimoine naturel
( 1153822 )
- Muséum national d'Histoire naturelle - 36 rue Geoffroy-Saint-Hilaire - 75005 Paris - CP 41
- France
-
Muséum national d'Histoire naturelle ( 7512 )
;
-
Institut de Recherche pour le Développement ( 67872 )
;
-
Centre National de la Recherche Scientifique UAR2006 ( 441569 )
;
-
Direction surveillance, évaluation,données ( 1172365 )
;
-
Office français de la biodiversité ( 1006416 )
2
SAS -
Sol Agro et hydrosystème Spatialisation
( 1096412 )
- UMR 1069, Sol Agro et Hydrosystème Spatialisation, Batiment 13, INSTITUT AGRO Agrocampus Ouest, 65 rue de Saint Brieuc CS 84215 35042 Rennes CEDEX
- France
-
Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement UMR1069 ( 577435 )
;
-
Institut Agro Rennes Angers ( 1091012 )
;
-
Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement ( 1042499 )
3
LETG - Rennes -
Littoral, Environnement, Télédétection, Géomatique
( 1088629 )
- Maison de la Recherche Place du Recteur Henri Le Moal 35043 RENNES CEDEX
- France
-
Université de Brest ( 300314 )
;
-
Université de Rennes 2 ( 406201 )
;
-
Littoral, Environnement, Télédétection, Géomatique UMR 6554 ( 1088630 )
;
-
Université de Brest ( 300314 )
;
-
Université de Rennes 2 ( 406201 )
;
-
Centre National de la Recherche Scientifique ( 441569 )
;
-
Institut de Géographie et d'Aménagement Régional de l'Université de Nantes ( 1088602 )
;
-
Nantes Université - pôle Humanités ( 1083401 )
;
-
Nantes Université ( 1083366 )
|
Licence |
Paternité
|
Public visé |
Scientifique
|
Langue du document |
Anglais
|
Nom de la revue |
|
Vulgarisation |
Non
|
Comité de lecture |
Oui
|
Audience |
Internationale
|
Date de publication |
2022
|
Volume |
45
|
Numéro |
1
|
Page/Identifiant |
108632
|
Données associées |
|
Financement |
-
French Ministry of Ecology for steering the national wetlands mapping project, which funded this study (grant no. 21003207973).
|
Domaine(s) |
-
Sciences de l'Homme et Société/Géographie
-
Sciences de l'environnement/Biodiversité et Ecologie
-
Sciences du Vivant [q-bio]/Sciences agricoles/Science des sols
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Mots-clés |
en
Biodiversity, Natural habitat, Soil, EUNIS, Wetlands, Redoximorphic, features
|
DOI |
10.1016/j.dib.2022.108632 |
UT key WOS |
001044046500029 |