EJPSoil

Statistiques spatio-temporelles sur les propriétés agronomiques des sols agricoles en France issues de la Base de Données d'Analyses de Terre (BDAT)

National Country Stocktake France EJP Country survey Dataset

In France, farmers commission about 250,000 soil-testing analyses per year to assist them managing soil fertility. The number and diversity of origin of the samples make these analyses an interesting and original information source regarding cultivated topsoil variability. Moreover, these analyses relate to several parameters strongly influenced by human activity (macronutrient contents, pH...), for which existing cartographic information is not very relevant. Compiling the results of these analyses into a database makes it possible to re-use these data within both a national and temporal framework. A database compilation relating to data collected over the period 1990-2014 has been recently achieved. So far, commercial soil-testing laboratories approved by the Ministry of Agriculture have provided analytical results from more than 3,600,000 samples. After the initial quality control stage, analytical results from more than 1,900,000 samples were available in the database. The anonymity of the landholders seeking soil analyses is perfectly preserved, as the only identifying information stored is the location of the nearest administrative city to the sample site. We present in this dataset a set of statistical parameters of the spatial distributions for several agronomic soil properties. These statistical parameters are calculated for 4 different nested spatial entities (administrative areas: e.g. regions, departments, counties and agricultural areas) and for 5 time periods (1990-1994, 1995-1999, 2000-2004, 2005-2009, 2010-2014). Two kinds of agronomic soil properties are available: the first one correspond to the quantitative variables like the organic carbon content, and the second one corresponds to the qualitative variables like the texture class. For each spatial unit and temporal period, we calculated the following statistics sets: the first set is calculated for the quantitative variables and corresponds to the number of samples, the mean, the standard deviation and, the 2-,4-,10-quantiles; the second set is calculated for the qualitative variables and corresponds to the number of samples, the value of the dominant class, the number of samples of the dominant class, the second dominant class, the number of samples of the second dominant class.

Contacts

INRAE
Role: pointOfContact
Country: France

Saby, Nicolas P.A. - (INRA - Institut National de la Recherche Agronomique)
Role: Saby-Nicolas-P.A.
Url: https://orcid.org/0000-0001-8964-1194
Lemercier, Blandine - (AgroCampus Ouest)
Role: Lemercier-Blandine

Arrouays, Dominique - (INRA - Institut National de la Recherche Agronomique)
Role: Arrouays-Dominique

Walter, Christian - (AgroCampus Ouest)
Role: Walter-Christian

Gouny, Laetitia - (INRA - Institut National de la Recherche Agronomique)
Role: Gouny-Laetitia

Swidersky, Chloé - (INRA - Institut National de la Recherche Agronomique)
Role: Swidersky-Chloe

Toutain, Benoît - (INRA - Institut National de la Recherche Agronomique)
Role: Toutain-Benoit

Bispo, Antonio - (INRA - Institut National de la Recherche Agronomique)
Role: Bispo-Antonio

Saby, Nicolas - (INRA - Institut National de la Recherche Agronomique)
Role: Saby-Nicolas

Infosol - (INRA)
Role: Infosol

Temporal

Created: 2014
Updated: 2022-01-01
Temporal extent: 2014

Formats
External identification
Links
Updated: 2024-09-13 Edit me on GIT