{"type": "FeatureCollection", "features": [{"id": "10.15454/QSXKGA", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:19:29Z", "type": "Dataset", "title": "Analyses physico-chimiques des sites du R\u00e9seau de Mesures de la Qualit\u00e9 des Sols (RMQS) du territoire m\u00e9tropolitain pour la 1\u00e8re campagne (2000-2009), avec coordonn\u00e9es th\u00e9oriques", "description": "Le R\u00e9seau de mesures de la qualit\u00e9 des sols (RMQS) est un programme national d\u2019\u00e9valuation et de suivi \u00e0 long terme de la qualit\u00e9 des sols fran\u00e7ais. Ce r\u00e9seau repose sur le suivi de 2240 sites repr\u00e9sentatifs des sols fran\u00e7ais et de leurs occupations, r\u00e9partis sur l\u2019ensemble du territoire fran\u00e7ais (m\u00e9tropole et outre-mer) selon une grille syst\u00e9matique de 16 km de c\u00f4t\u00e9. Les sites recouvrent diverses occupations (grandes cultures, prairies permanentes, for\u00eats, vignes et vergers, milieux peu anthropis\u00e9s, parcs urbains). Des propri\u00e9t\u00e9s physiques, chimiques et biologiques des sols sont mesur\u00e9es sur chaque site, par campagne. Ces analyses sont associ\u00e9es \u00e0 la recherche des facteurs explicatifs de la variabilit\u00e9 spatiale et temporelle des propri\u00e9t\u00e9s des sols (variables biophysiques, sources de contamination, historique de l\u2019occupation et des pratiques de gestion de chaque site). La premi\u00e8re campagne de pr\u00e9l\u00e8vement en m\u00e9tropole s'est d\u00e9roul\u00e9e de 2000 \u00e0 2009. Cette campagne, ax\u00e9e sur la contamination des sols, a permis de cartographier les principaux param\u00e8tres p\u00e9dologiques (28 variables) ainsi que les teneurs en 12 \u00e9l\u00e9ments traces m\u00e9talliques (ETM) en extraction totale ou partielle et 70 polluants organiques persistants. L\u2019ensemble des pr\u00e9l\u00e8vements, mesures et observations r\u00e9alis\u00e9s sur chaque site durant cette campagne est d\u00e9taill\u00e9 dans le Manuel de la premi\u00e8re campagne du R\u00e9seau de Mesures de la Qualit\u00e9 des Sols . La deuxi\u00e8me campagne a d\u00e9marr\u00e9 en 2016 et devrait s\u2019\u00e9tendre sur 12 ans. Le jeu de donn\u00e9es fourni comprend les r\u00e9sultats d\u2019analyses issus de 2171 sites de m\u00e9tropole, r\u00e9partis sur 2146 cellules et correspondant \u00e0 la premi\u00e8re campagne RMQS (2000 -2009) et pour les param\u00e8tres suivants : granulom\u00e9trie 5 fractions, carbone et azote totaux, capacit\u00e9 d\u2019\u00e9change cationique et cations \u00e9changeables, calcaire total, pH eau, phosphore assimilable (P2O5), fer libre, \u00e9l\u00e9ments majeurs totaux et \u00e9l\u00e9ments traces m\u00e9talliques totaux et une partie des ETM en extraction partielle, conductivit\u00e9 \u00e9lectrique et \u00e9l\u00e9ments solubles \u00e0 l\u2019eau pour une s\u00e9lection de sites concern\u00e9s. Les analyses ont \u00e9t\u00e9 r\u00e9alis\u00e9es sur des \u00e9chantillons composites pr\u00e9lev\u00e9s \u00e0 la tari\u00e8re selon deux couches de pr\u00e9l\u00e8vement (0-30 cm ou couche travaill\u00e9e en sol cultiv\u00e9, appel\u00e9e composite de surface ou composite 1 et la couche sous-jacente jusqu\u2019\u00e0 50 cm, appel\u00e9e composite de sub-surface ou composite 2). Chaque \u00e9chantillon composite a \u00e9t\u00e9 constitu\u00e9 \u00e0 partir du m\u00e9lange de 25 pr\u00e9l\u00e8vements individuels pr\u00e9lev\u00e9s sur une surface d\u2019\u00e9chantillonnage de 400 m\u00b2 selon un plan d\u2019\u00e9chantillonnage al\u00e9atoire stratifi\u00e9 (voir description dans le manuel du RMQS). Une troisi\u00e8me couche de pr\u00e9l\u00e8vement issue d\u2019\u00e9chantillons composites a pu \u00eatre constitu\u00e9e en for\u00eat ou en prairie, \u00e0 partir des horizons holorganiques (correspondant aux horizons p\u00e9dologiques OF et OH) lorsque ces horizons \u00e9taient suffisamment \u00e9pais (au moins 1 cm) et continus sur la surface d\u2019\u00e9chantillonnage. English version The French Soil Quality Monitoring Network (RMQS) is a national program for the assessment and long-term monitoring of the quality of French soils. This network is based on the monitoring of 2240 sites representative of French soils and their land use. These sites are spread over the whole French territory (metropolitan and overseas) along a systematic square grid of 16 km x 16 km cells. The network covers a broad spectrum of climatic, soil and land-use conditions (croplands, permanent grasslands, woodlands, orchards and vineyards, natural or scarcely anthropogenic land and urban parkland). The physical, chemical and biological properties of the soil are measured on each site, during the first campaign et presently on the second campaign. The spatial and temporal variability of soil properties are explained by biophysical variables, sources of contamination, history of land-use and management practices on each plot. The first sampling campaign in metropolitan France took place from 2000 to 2009. This campaign focused on soil contamination assessment and made it possible to map key soil parameters (28 variables) as well as 12 trace metal elements and 70 persistent organic pollutants. The sampling method, measurements and observations on each site are described in the \u201cRMQS guidelines\u201d1 (in French: \u201cmanuel du RMQS\u201d). The second campaign started in 2016 and should last 12 years. The dataset includes the results of soil analyses from 2171 sites, spread over 2146 cells and corresponding to the first RMQS campaign (2000-2009). Analysed parameters are particle size analysis (5 fractions), total carbon and nitrogen, cation exchange capacity and exchangeable cations, total calcium carbonates, pH in water, available P2O5, free iron, total major elements and trace elements (total and partial extraction). The soil tests were carried out on composite samples collected with an auger at two sampling layers: 0-30 cm or cultivated layer named \u201cupper layer\u201d or \u201clayer 1\u201d and 30-50 cm named \u201csubsoil layer\u201d or \u201clayer 2\u201d. Each composite sample was made up of 25 individual sample cores taken on a sampling area of 400 m\u00b2, using an unaligned systematic sampling design (see description in the RMQS guidelines). In some cases a third layer was made up of holorganic layers in forests or meadows, corresponding to pedological horizons OF and OH, when these layers were sufficiently thick, (at least 1 cm) and continuous over the sampling area.", "keywords": ["Earth and Environmental Science", "sol", "pH du sol", "p\u00e9dologie (geosciences)", "TER sciences du sol", "capacit\u00e9 d \u00e9change cationique", "fer", "carbonate", "granulom\u00e9trie du sol", "Earth and Environmental Sciences", "conductivit\u00e9 \u00e9lectrique", "p\u00e9dologie geosciences", "carbone du sol", "phosphore du sol", "Environmental Research", "Natural Sciences", "capacit\u00e9 d'\u00e9change cationique", "azote du sol", "Geosciences"], "contacts": [{"organization": "Institut National de la Recherche Agronomique, Association marnaise de d\u00e9veloppement agricole et viticole, Association pour la Relance Agronomique en Alsace (ARAA), Chambre D\u00e9partementale d'Agriculture des Ardennes, Chambre D\u00e9partementale d'Agriculture de l'Aube, Chambre D\u00e9partementale d'Agriculture du Calvados, Chambre D\u00e9partementale d'Agriculture de Charente, Chambre D\u00e9partementale d'Agriculture de Charente-Maritime, Chambre D\u00e9partementale d'Agriculture du Cher, Chambre D\u00e9partementale d'Agriculture de Corr\u00e8ze, Chambre D\u00e9partementale d'Agriculture de la C\u00f4te d'Or, Chambre D\u00e9partementale d'Agriculture de Creuse, Chambre D\u00e9partementale d'Agriculture des Deux-S\u00e8vres, Chambre D\u00e9partementale d'Agriculture de l'Eure, Chambre D\u00e9partementale d'Agriculture de l'Eure-et-Loir, Chambre D\u00e9partementale d'Agriculture de Haute-Marne, Chambre D\u00e9partementale d'Agriculture de Haute-Vienne, Chambre D\u00e9partementale d'Agriculture de l'Indre, Chambre D\u00e9partementale d'Agriculture de Loire-Atlantique, Chambre D\u00e9partementale d'Agriculture de Mayenne, Chambre D\u00e9partementale d'Agriculture de la Manche, Chambre D\u00e9partementale d'Agriculture de Mayenne, Chambre D\u00e9partementale d'Agriculture de la Ni\u00e8vre, Chambre D\u00e9partementale d'Agriculture de l'Orne, Chambre D\u00e9partementale d'Agriculture de Sa\u00f4ne-et-Loire, Chambre D\u00e9partementale d'Agriculture de Seine-et-Marne, Chambre D\u00e9partementale d'Agriculture de Seine-Maritime, Chambre D\u00e9partementale d'Agriculture de Vend\u00e9e, Chambre D\u00e9partementale d'Agriculture de la Vienne, Chambre D\u00e9partementale d'Agriculture de l'Yonne, Chambre R\u00e9gionale d'Agriculture de Bretagne, Chambre R\u00e9gionale d'Agriculture de Lorraine, Chambre R\u00e9gionale d'Agriculture de Picardie, Chambre R\u00e9gionale d'Agriculture de Poitou-Charentes, Conseil G\u00e9n\u00e9ral de Mayenne, \u00c9cole nationale d'ing\u00e9nieurs des travaux agricoles de Bordeaux (ENITAB), EDIACARA, \u00c9tablissement national d'enseignement sup\u00e9rieur agronomique de Dijon (ENESAD), Genevois-Gomendy-Sol et Environnement, Groupe R\u00e9gional Agronomie P\u00e9dologie Environnement (GRAPE Franche-Comt\u00e9), Institut Forestier National (IFN), Institut National d'Horticulture d'Angers (INH), Institut National Polytechnique - Ecole Nationale Sup\u00e9rieure d'Agronomie de Toulouse (INP-ENSAT), Institut Sup\u00e9rieur d'Agriculture de Lille (ISA), SCITERRE, Soci\u00e9t\u00e9 du Canal de Provence et d'Am\u00e9nagement de la R\u00e9gion Proven\u00e7ale (SCP), Sol Info Rh\u00f4ne Alpes - Chambre R\u00e9gionale d'Agriculture de Rh\u00f4ne-Alpes (SIRA),", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/QSXKGA"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/QSXKGA", "name": "item", "description": "10.15454/QSXKGA", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/QSXKGA"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.5194/gmd-10-3745-2017", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:21:48Z", "type": "Journal Article", "created": "2017-10-12", "title": "A representation of the phosphorus cycle for ORCHIDEE (revision\u00a04520)", "description": "<p>Abstract. Land surface models rarely incorporate the terrestrial phosphorus cycle and its interactions with the carbon cycle, despite the extensive scientific debate about the importance of nitrogen and phosphorus supply for future land carbon uptake. We describe a representation of the terrestrial phosphorus cycle for the ORCHIDEE land surface model, and evaluate it with data from nutrient manipulation experiments along a\uffc2\uffa0soil formation chronosequence in Hawaii.  ORCHIDEE accounts for the influence of the nutritional state of vegetation on tissue nutrient concentrations, photosynthesis, plant growth, biomass allocation, biochemical (phosphatase-mediated) mineralization, and biological nitrogen fixation. Changes in the nutrient content (quality) of litter affect the carbon use efficiency of decomposition and in return the nutrient availability to vegetation. The model explicitly accounts for root zone depletion of phosphorus as a function of root phosphorus uptake and phosphorus transport from the soil to the root surface.  The model captures the observed differences in the foliage stoichiometry of vegetation between an early (300-year) and a late (4.1\uffe2\uff80\uffafMyr) stage of soil development. The contrasting sensitivities of net primary productivity to the addition of either nitrogen, phosphorus, or both among sites are in general reproduced by the model. As observed, the model simulates a preferential stimulation of leaf level productivity when nitrogen stress is alleviated, while leaf level productivity and leaf area index are stimulated equally when phosphorus stress is alleviated. The nutrient use efficiencies in the model are lower than observed primarily due to biases in the nutrient content and turnover of woody biomass.  We conclude that ORCHIDEE is able to reproduce the shift from nitrogen to phosphorus limited net primary productivity along the soil development chronosequence, as well as the contrasting responses of net primary productivity to nutrient addition.                     </p>", "keywords": ["Biomass (ecology)", "Chronosequence", "Organic chemistry", "chronos\u00e9quence", "Plant Science", "mod\u00e8le", "Nitrogen cycle", "01 natural sciences", "Nutrient cycle", "Agricultural and Biological Sciences", "Soil water", "Pathology", "2. Zero hunger", "QE1-996.5", "Global and Planetary Change", "Orchidee", "Ecology", "Physics", "Life Sciences", "Geology", "Phosphorus", "Carbon cycle", "Chemistry", "nutrition", "Physical Sciences", "Medicine", "[SDU.STU.GP] Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph]", "Ecosystem Functioning", "Vegetation (pathology)", "cycle du carbone", "570", "[SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph]", "Nitrogen", "hawai", "Soil Science", "mod\u00e8le orchid\u00e9e", "Environmental science", "vegetation", "phosphore du sol", "Biology", "Ecosystem", "0105 earth and related environmental sciences", "Soil science", "Soil Fertility", "ddc:550", "Global Forest Drought Response and Climate Change", "surface terrestre", "Plant Nutrient Uptake and Signaling Pathways", "15. Life on land", "Agronomy", "hawaii", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "Nutrient"]}, "links": [{"href": "https://gmd.copernicus.org/articles/10/3745/2017/gmd-10-3745-2017.pdf"}, {"href": "https://doi.org/10.5194/gmd-10-3745-2017"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Model%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/gmd-10-3745-2017", "name": "item", "description": "10.5194/gmd-10-3745-2017", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/gmd-10-3745-2017"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-10-12T00:00:00Z"}}, {"id": "10.57745/HRCQL8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:24:09Z", "type": "Dataset", "title": "Unite Exp\u00e9rimentale RGCO de Ploudaniel  : Donn\u00e9es collect\u00e9es dans le cadre des \u00e9tudes de sol du r\u00e9seau CAREX", "description": "Ces donn\u00e9es ont \u00e9t\u00e9 cr\u00e9\u00e9es pour la caract\u00e9risation des sols et de leurs propri\u00e9t\u00e9s de l'Unit\u00e9 Exp\u00e9rimentale INRAE RGCO de Ploudaniel. L\u2019\u00e9tude a port\u00e9 sur 67 ha. Les donn\u00e9es contiennent des informations ponctuelles issues d\u2019observations et d\u2019analyses sur 69 sondages et 14 profils p\u00e9dologiques. Le jeu de donn\u00e9es contient \u00e9galement des donn\u00e9es surfaciques : r\u00e9sistivit\u00e9s \u00e9lectriques spatiales, carte des types de sols classifi\u00e9s par Unit\u00e9s Typologiques de Sols (UTS).", "keywords": ["pH du sol", "structure du sol", "potentiel matriciel", "masse volumique du sol", "horizon", "type de sol", "carbonate", "carbone organique du sol", "propriet\u00e9s physico-chimiques du sol", "g\u00e9ologie", "phosphore du sol", "azote total", "point de fl\u00e9trissement permanent", "carte p\u00e9dologique", "r\u00e9tention hydrique du sol", "propriet\u00e9 hydrique du sol", "capacit\u00e9 au champ", "teneur en argile", "carbone total", "granulom\u00e9trie du sol", "hydromorphie", "Earth and Environmental Sciences", "r\u00e9f\u00e9rentiel p\u00e9dologique", "unit\u00e9 typologique de sol UTS", "r\u00e9sisitivit\u00e9 \u00e9l\u00e9ctrique", "capacit\u00e9 d'\u00e9change cationique", "texture", "occupation du sol"], "contacts": [{"organization": "Mistou Marie-Noel, Girot Ghislain, Seger Maud, Laloua Didier, Le Lay Christian, Gaillard Herv\u00e9, Heller Renaud, Sherif Rehanna, Kermarrec Dominique, Levardois Kevin, Chauvin Jean-Eric,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.57745/HRCQL8"}, {"rel": "self", "type": "application/geo+json", "title": "10.57745/HRCQL8", "name": "item", "description": "10.57745/HRCQL8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.57745/HRCQL8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=phosphore+du+sol&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=phosphore+du+sol&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=phosphore+du+sol&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=phosphore+du+sol&offset=3", "hreflang": "en-US"}], "numberMatched": 3, "numberReturned": 3, "distributedFeatures": [], "timeStamp": "2026-07-27T15:55:18.058124Z"}