{"type": "FeatureCollection", "features": [{"id": "1F20D517-4F12-4194-B9EC-544A45676839", "type": "Feature", "geometry": null, "properties": {"updated": "2020-02-11T00:00:00Z", "type": "Dataset", "language": "de", "title": "Boden\u00fcbersichtskarte 1:200.000 (B\u00dcK200) - CC7110 Mannheim", "description": "Die Boden\u00fcbersichtskarte 1:200.000 (B\u00dcK200) wird von der Bundesanstalt f\u00fcr Geowissenschaften und Rohstoffe (BGR) in Zusammenarbeit mit den Staatlichen Geologischen Diensten (SGD) der Bundesl\u00e4nder im Blattschnitt der Topographischen \u00dcbersichtskarte 1:200.000 (T\u00dcK200) erarbeitet und in 55 einzelnen Kartenbl\u00e4ttern herausgegeben. Die digitale, blattschnittfreie Datenhaltung bildet eine detaillierte, bundesweit einheitliche und fl\u00e4chendeckende Informationsgrundlage f\u00fcr L\u00e4nder \u00fcbergreifende Aussagen zu Bodennutzung und Bodenschutz. \u00dcber den aktuellen Bearbeitungsstand des Kartenwerks informieren die Internetseiten der BGR zum Thema Boden. Die Verbreitung und Vergesellschaftung der B\u00f6den auf dem Gebiet dieses Kartenblattes wird anhand von 97 Legendeneinheiten (gegliedert nach Bodenregionen und Bodengro\u00dflandschaften) beschrieben. Jede Legendeneinheit beinhaltet bodensystematische Informationen (Bodensubtyp) und Informationen zum Bodenausgangsgestein sowohl f\u00fcr die Leitb\u00f6den als auch f\u00fcr deren Begleiter. Im Rahmen der Qualit\u00e4tssicherung wurde die Linienf\u00fchrung der Bodengrenzen im gesamten Blattgebiet verbessert (Stand 12. 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Im Zuge der Bearbeitung des B\u00dcK200-Nachbarblattes K\u00f6ln wurde der LBG-Datensatz von Siegen am westlichen Blattrand angepasst. Die alte LE 58 aus der BGL 11.1 wurde der BGL 6.3 als neue LE 15 zugeordnet (Stand 23. Januar 2012). Im Rahmen der Qualit\u00e4tssicherung wurde der LBG-Datensatz von Siegen am \u00f6stlichen Blattrand leicht ver\u00e4ndert (Stand 03. Dezember 2013).", "formats": [{"name": "PDF"}], "keywords": ["ackerbauliches-ertragspotential", "boden", "bodenart", "bodenausgangsgestein", "bodenauslaugung", "bodenbearbeitung", "bodenbelastung", "bodenbildung", "bodenbiologie", "bodenchemie", "bodendegradation", "bodendekontamination", "bodeneigenschaften", "bodenerosion", "bodenfeuchtigkeit", "bodenform", "bodenfruchtbarkeit", "bodenfunktion", "bodengefu\u0308ge", "bodengesellschaft", "bodengestaltung", "bodengruppe", "bodengu\u0308te", "bodenhorizont", "bodeninformationssystem", "bodenkarte", "bodenluft", "bodenmechanik", "bodenmineralogie", "bodennutzbarkeit", "bodennutzung", "bodenphysikalische-eigenschaften", "bodenprofil", "bodenskelett", "bodensubstrat", "bodensystematik", "bodentyp", "bodenverbreitung", "de", "durchla\u0308ssigkeit", "effektive-durchwurzelungstiefe", "fachinformationssystem", "hessen", "nordrhein-westfalen", "opendata", "rheinland-pfalz", "siegen", "soil"], "contacts": [{"organization": "Bundesanstalt f\u00fcr Geowissenschaften und Rohstoffe (BGR)", "roles": ["creator"]}]}, "links": [{"href": "https://download.bgr.de/bgr/Boden/BUEK200/5510/jpg/buek200_5510.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/5510/pdf/buek200_5510.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/5510/png/buek200_5510.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/5510/shp/buek200_5510.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/5510/tiff/buek200_5510.zip"}, {"href": "http://data.europa.eu/88u/dataset/06af1400-76f1-471a-a38f-2caffadedda8"}, {"rel": "self", "type": "application/geo+json", "title": "06AF1400-76F1-471A-A38F-2CAFFADEDDA8", "name": "item", "description": "06AF1400-76F1-471A-A38F-2CAFFADEDDA8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/06AF1400-76F1-471A-A38F-2CAFFADEDDA8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "01352069-dbde-464c-adfc-27b367a9b74a", "type": "Feature", "geometry": null, "properties": {"updated": "2011-05-31T00:00:00Z", "type": "Dataset", "language": "nl", "title": "Pottery-Flanders-2010", "description": "EARTHWORK is a database with the description and analysis results of 7,020 soil profiles and 42,529 associated soil horizons, supplemented by 9,281 surface samples, all located on the territory of Flanders and Brussels. These data (143 variables) were collected during the systematic soil profile study, which was carried out in Belgium between 1949 and 1971, under the auspices of the Institute to encourage Scientific Research in Industry and Agriculture. The Centre for Ground Research of the University of Ghent with departments at the Catholic University of Leuven and the Facult\u00e9s des Sciences Agronomiques de Gembloux was responsible for the realization of this study.", "keywords": ["aardewerk-2010", "aardewerk:-bodemprofielgegevens-voor-vlaanderen", "be", "bewortelingsdiepte", "bodem", "bodemhorizonten", "bodemkaarten", "bodemlagen", "bodemoppervlak", "bodemprofielen", "bodemprofielgegevens", "bodemprofielstudie", "bodemserie", "diepten", "drainage", "fysico-chemische-eigenschappen", "granulometrische-gegevens", "grondonderzoek", "historisch-bodemgebruik-en-vegetatie", "horizontinformatie", "koolstofgehalte", "mineralogische-samenstelling", "oppervlaktemonsters", "profiellocaties", "relief-beschrijving", "roestverschijnselen", "sorptiecapaciteit", "stenen", "verzadigingsgraad", "vochtgehalte", "waterhuishouding", "zuurtegraad"], "contacts": [{"organization": "Datavindplaats Vlaanderen", "roles": ["creator"]}, {"organization": "https://org.belgif.be/id/CbeEstablishmentUnit/2143719695", "roles": ["publisher"]}]}, "links": [{"href": "https://www.vlaanderen.be/DataCatalogRecord/78e15dd4-8070-4220-afac-258ea040fb30"}, {"href": "http://data.europa.eu/88u/dataset/01352069-dbde-464c-adfc-27b367a9b74a"}, {"rel": "self", "type": "application/geo+json", "title": "01352069-dbde-464c-adfc-27b367a9b74a", "name": "item", "description": "01352069-dbde-464c-adfc-27b367a9b74a", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/01352069-dbde-464c-adfc-27b367a9b74a"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "04481ab6-e5ee-4742-a330-88649c17b2ce", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[2.75, 49.45], [2.75, 50.85], [6.5, 50.85], [6.5, 49.45], [2.75, 49.45]]]}, "properties": {"themes": [{"concepts": [{"id": "biota"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Sol et sous-sol"}, {"id": "Nature et environnement"}, {"id": "Agriculture"}], "scheme": "https://metawal.wallonie.be/thesaurus/theme-geoportail-wallon"}, {"concepts": [{"id": "dynamique naturelle"}, {"id": "sol"}, {"id": "biologie"}], "scheme": "http://geonetwork-opensource.org/gemet-theme"}, {"concepts": [{"id": "biologie du sol"}, {"id": "organisme du sol"}, {"id": "carbone organique"}, {"id": "mod\u00e9lisation"}, {"id": "surveillance de l'environnement"}, {"id": "prairie"}, {"id": "qualit\u00e9 du sol"}, {"id": "donn\u00e9es sur l'\u00e9tat de l'environnement"}, {"id": "type de sol"}, {"id": "conservation du sol"}, {"id": "carbone organique total"}, {"id": "sol"}, {"id": "station de surveillance"}, {"id": "cartographie"}, {"id": "mati\u00e8re organique"}, {"id": "carbone"}, {"id": "for\u00eat"}, {"id": "analyse des sols"}, {"id": "cycle du carbone"}, {"id": "cartogramme"}, {"id": "profil du sol"}, {"id": "utilisation du sol"}, {"id": "r\u00e9seau de mesure"}, {"id": "culture"}, {"id": "stockage"}, {"id": "ressources du sol"}, {"id": "sous-sol"}], "scheme": "http://geonetwork-opensource.org/gemet"}, {"concepts": [{"id": "Open Data"}, {"id": "PanierTelechargementGeoportailNO"}, {"id": "Reporting INSPIRE"}, {"id": "WalOnMapNO"}, {"id": "Extraction_DIG"}, {"id": "BDInfraSIG"}], "scheme": "https://metawal.wallonie.be/thesaurus/infrasig"}, {"concepts": [{"id": "Sols"}], "scheme": "http://inspire.ec.europa.eu/theme"}, {"concepts": [{"id": "R\u00e9gional"}], "scheme": "http://inspire.ec.europa.eu/metadata-codelist/SpatialScope"}, {"concepts": [{"id": "2023/138 - High Value Datasets Regulation"}], "scheme": "http://data.europa.eu/r5r/applicableLegislation"}, {"concepts": [{"id": "Observation de la terre et environnement"}], "scheme": "http://data.europa.eu/bna/asd487ae75"}], "updated": "2024-12-11T12:48:19.626322Z", "type": "Dataset", "created": "2024-10-30", "language": "fre", "title": "INSPIRE - CARBIOSOL - Predicted total organic carbon levels - period 2004-2014 in Wallonia (BE)", "description": "Cette couche de donn\u00e9es INSPIRE reprend les teneurs en Carbone Organique Total dans les sols agricoles du territoire wallon pour la p\u00e9riode 2004-2014.\n\nCette donn\u00e9e conforme INSPIRE est issue de la donn\u00e9e source CARBIOSOL - Teneurs pr\u00e9dites en Carbone organique total - p\u00e9riode 2004-2014.\n\nLa qualit\u00e9 d\u2019un sol peut \u00eatre \u00e9valu\u00e9e gr\u00e2ce \u00e0 l\u2019\u00e9tude de divers param\u00e8tres physiques, chimiques ou biologiques. Parmi ces param\u00e8tres, le carbone organique des sols, qui constitue plus de 50% de la masse de la mati\u00e8re organique du sol, est g\u00e9n\u00e9ralement consid\u00e9r\u00e9 comme l'indicateur principal de la qualit\u00e9 des sols, \u00e0 la fois pour ses fonctions agricoles et environnementales.\n\nLa pr\u00e9sente couche de donn\u00e9es constitue la cartographie des teneurs en carbone organique total (COT) pour les sols sous cultures et prairies permanentes en R\u00e9gion wallonne pour une p\u00e9riode comprise entre 2004 et 2014. La couche a \u00e9t\u00e9 cr\u00e9\u00e9e par m\u00e9thode de mod\u00e9lisation spatiale d\u00e9velopp\u00e9e par l'UCL dans le cadre de la convention CARBIOSOL.\n\nPour plus de d\u00e9tails sur la constitution des couches cartographiques g\u00e9n\u00e9r\u00e9es dans le cadre du projet CARBIOSOL, veuillez-vous r\u00e9f\u00e9rer \u00e0 la fiche de m\u00e9tadonn\u00e9es documentant la s\u00e9rie de couches de donn\u00e9es.\n\nEn chaque pixel, la teneur en carbone organique total (COT) est exprim\u00e9e en gramme de carbone par kilogramme de terre fine s\u00e8che (gC/kg). Le r\u00e9sultat en sortie du mod\u00e8le est une couche raster des teneurs en COT \u00e0 90 m\u00e8tres de r\u00e9solution et spatialement continue sur le territoire agricole wallon.\n\nLes teneurs moyennes en COT observ\u00e9es pour les sols (horizons de surface) sous cultures et prairies permanentes sur la p\u00e9riode 2004-2014 \u00e9taient de 1.30 gC/kg et 3.61 gC/kg respectivement, d\u2019apr\u00e8s la base de donn\u00e9es REQUASUD.\n\nSur cette m\u00eame p\u00e9riode, 22 % des superficies sous cultures pr\u00e9sentaient des teneurs en COT < 1.15 gC kg-1 et 73 % pr\u00e9sentaient des teneurs < 1.5 gC/kg. 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High Value Datasets Regulation", "Observation de la terre et environnement"], "contacts": [{"name": null, "organization": "Helpdesk carto du SPW (SPW - Secr\u00e9tariat g\u00e9n\u00e9ral - SPW Digital - D\u00e9partement Donn\u00e9es transversales - Gestion et valorisation de la donn\u00e9e)", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "helpdesk.carto@spw.wallonie.be"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": null, "organization": "Direction de la Protection des Sols (SPW - Agriculture, Ressources naturelles et Environnement - D\u00e9partement du Sol et des D\u00e9chets - Direction de la Protection des Sols)", "position": null, "roles": ["custodian"], "phones": [{"value": null}], "emails": [{"value": "esther.goidts@spw.wallonie.be"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": null, "organization": "Service public de Wallonie (SPW)", "position": null, "roles": ["owner"], "phones": [{"value": null}], "emails": [{"value": "helpdesk.carto@spw.wallonie.be"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": "https://geoportail.wallonie.be", "protocol": "WWW:LINK", "protocol_url": "", "name": "G\u00e9oportail de la Wallonie", "name_url": "", "description": "G\u00e9oportail de la Wallonie", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": "information"}}]}, {"name": "Caroline Chartin", "organization": "Universit\u00e9 catholique de Louvain - 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Il a ensuite \u00e9t\u00e9 valid\u00e9 sur le tiers restant.\n\nPour plus de d\u00e9tails sur la mod\u00e9lisation mise en place dans la cadre de CARBIOSOL, veuillez-vous r\u00e9f\u00e9rer \u00e0 la fiche de m\u00e9tadonn\u00e9es documentant la s\u00e9rie de couches de donn\u00e9es.\n\nLa cartographie des incertitudes de mod\u00e9lisation associ\u00e9es aux teneurs en COT pr\u00e9dites pour la p\u00e9riode 2004-2014 est une couche raster spatialement continue sur les sols sous cultures et prairies et d'une r\u00e9solution de 90 m\u00e8tres. L'incertitude en chaque pixel est exprim\u00e9e en pourcentage relatif de carbone.\n\nLa mod\u00e9lisation de l'erreur de pr\u00e9diction est une erreur potentielle qui permet une meilleure interpr\u00e9tation des produits cartographiques finaux g\u00e9n\u00e9r\u00e9s par le projet CARBIOSOL. La cartographie des teneurs en Carbone organique total pour la p\u00e9riode 2004-2014 doit donc \u00eatre lue en association avec la carte des incertitudes. Une incertitude importante refl\u00e8te une pr\u00e9diction moins fiable et donc une plus grande pr\u00e9caution dans l'interpr\u00e9tation des valeurs.", "formats": [{"name": "TIFF (.tif"}, {"name": " .tiff)"}, {"name": "WWW:LINK"}, {"name": "ESRI:REST"}, {"name": "OGC:WMS"}, {"name": "atom:feed"}], "keywords": ["Nature et environnement", "Sol et sous-sol", "biologie", "dynamique naturelle", "sol", "structure du sol", "cycle du carbone", "for\u00eat", "organisme du sol", "mati\u00e8re organique", "sol", "chimie des sols", "biologie du sol", "d\u00e9terioration du sol", "d\u00e9gradation du sol", "prairie", "carbone organique", "carbone organique total", "carbone", "fertilit\u00e9 du sol", "Reporting INSPIRE", "Extraction_DIG", "WalOnMap", "BDInfraSIG", "Open Data", "PanierTelechargementGeoportailNO", "Digital Soil Mapping", "carbiosol", "carbosol", "teneur en carbone", "Aardewerk", "horizon de surface", "sol", "COSW", "DTM", "mod\u00e9lisation", "COT", "CO2", "horizon de sol", "Sols", "R\u00e9gional", "Observation de la terre et environnement", "2023/138"], "contacts": [{"name": null, "organization": "Helpdesk carto du SPW (SPW - 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Each legend unit contains soil systematic information (soil subtype) and information on the soil source rock for both the guide soils and their companions.", "formats": [{"name": "png"}, {"name": "OGC:WMS"}], "keywords": ["Boden", "Soil", "Bodenart", "Bodenauslaugung", "Bodenbearbeitung", "Bodenbelastung", "Bodenbildung", "Bodenbiologie", "Bodenchemie", "Bodendegradation", "Bodendekontamination", "Bodenerosion", "Bodenfeuchtigkeit", "Bodenfruchtbarkeit", "Bodenfunktion", "Bodengestaltung", "Bodeng\u00fcte", "Bodenkarte", "Bodenluft", "Bodenmechanik", "Bodenmineralogie", "Bodennutzbarkeit", "Bodennutzung", "ackerbauliches Ertragspotential", "Bodeneigenschaften", "Bodengef\u00fcge", "Bodengruppe", "Bodenhorizont", "bodenphysikalische Eigenschaften", "Bodenskelett", "Bodenverbreitung", "Durchl\u00e4ssigkeit", "effektive Durchwurzelungstiefe", "Bodenausgangsgestein", "Bodenform", "Bodengesellschaft", "Bodeninformationssystem", "Bodenprofil", "Bodensubstrat", "Bodensystematik", "Bodentyp", "Fachinformationssystem", "infoMapAccessService", "inspireidentifiziert", "opendata", "Deutschland", "National"], "contacts": [{"name": "Stegger, Ulrich", "organization": "Bundesanstalt f\u00fcr Geowissenschaften und Rohstoffe (BGR)", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "fis.bo@bgr.de"}], "addresses": [{"deliveryPoint": ["Stilleweg 2"], "city": "Hannover", "administrativeArea": null, "postalCode": "30655", "country": "DE"}], "links": [{"href": null}]}], "themes": [{"concepts": [{"id": "Boden"}, {"id": "Soil"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Bodenart"}, {"id": "Bodenauslaugung"}, {"id": "Bodenbearbeitung"}, {"id": "Bodenbelastung"}, {"id": "Bodenbildung"}, {"id": "Bodenbiologie"}, {"id": "Bodenchemie"}, {"id": "Bodendegradation"}, {"id": "Bodendekontamination"}, {"id": "Bodenerosion"}, {"id": "Bodenfeuchtigkeit"}, {"id": "Bodenfruchtbarkeit"}, {"id": "Bodenfunktion"}, {"id": "Bodengestaltung"}, {"id": "Bodeng\u00fcte"}, {"id": "Bodenkarte"}, {"id": "Bodenluft"}, {"id": "Bodenmechanik"}, {"id": "Bodenmineralogie"}, {"id": "Bodennutzbarkeit"}, {"id": "Bodennutzung"}], "scheme": "GEMET - Concepts, version 2.4"}, {"concepts": [{"id": "ackerbauliches Ertragspotential"}, {"id": "Bodeneigenschaften"}, {"id": "Bodengef\u00fcge"}, {"id": "Bodengruppe"}, {"id": "Bodenhorizont"}, {"id": "bodenphysikalische Eigenschaften"}, {"id": "Bodenskelett"}, {"id": "Bodenverbreitung"}, {"id": "Durchl\u00e4ssigkeit"}, {"id": "effektive Durchwurzelungstiefe"}], "scheme": "SGD-Liste"}, {"concepts": [{"id": "National"}], "scheme": "Spatial scope"}], "title_alternate": "B\u00dcK200 (WMS)"}, "links": [{"href": "https://services.bgr.de/wms/boden/buek200/?REQUEST=GetCapabilities&SERVICE=wms&VERSION=1.3.0", "protocol": "OGC:WMS", "rel": null}, {"href": "https://services.bgr.de/boden/buek200", "description": "Karte im BGR-Geoviewer", "rel": "information"}, {"href": "https://services.bgr.de/wms/boden/buek200/?"}, {"href": "https://services.bgr.de/wms/boden/buek200/?"}, {"href": "https://download.bgr.de/bgr/boden/BUEK200/WMS/Beispielbild/buek200.jpg", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "0f71e68f-8c83-4371-8842-1a26abed1854", "name": "item", "description": "0f71e68f-8c83-4371-8842-1a26abed1854", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0f71e68f-8c83-4371-8842-1a26abed1854"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-26T00:00:00Z"}}, {"id": "10.15454/JCONRJ", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:19:29Z", "type": "Dataset", "title": "National soil carbon stock map integrated into FAO's global map", "description": "La carte de la France m\u00e9tropolitaine (hors Corse) des stocks de carbone dans les sols a \u00e9t\u00e9 pr\u00e9par\u00e9e par l\u2019INRA dans le cadre d\u2019un exercice mondial pilot\u00e9 par le Partenariat Mondial sur les Sols h\u00e9berg\u00e9 par l\u2019Organisation des Nations-Unies pour l\u2019alimentation et l\u2019agriculture, la FAO. La carte ainsi produite, en suivant les sp\u00e9cifications d\u00e9cid\u00e9es par cette instance, a \u00e9t\u00e9 int\u00e9gr\u00e9e \u00e0 la carte mondiale des stocks de carbone. Elle exploite une pr\u00e9c\u00e9dente production r\u00e9alis\u00e9e dans le cadre du programme Global Soil Map (Mulder et al. 2016) et r\u00e9sulte d\u2019un travail de cartographie num\u00e9rique par mod\u00e9lisation r\u00e9alis\u00e9 \u00e0 partir des donn\u00e9es ponctuelles issues des deux programmes nationaux IGCS et RMQS du GIS Sol. La carte transmise \u00e0 la FAO estime sur une grille de 1 km de r\u00e9solution les stocks de carbone sur 30 cm. Elle fournit des indications pr\u00e9cieuses quant \u00e0 la distribution spatiale et la variabilit\u00e9 des stocks de carbone dans les sols fran\u00e7ais, avec toutefois des zones o\u00f9 les estimations pr\u00e9sentent de forts niveaux d\u2019incertitude, notamment en r\u00e9gion montagneuse. Ce travail confirme les pr\u00e9c\u00e9dentes publications nationales puisque les stocks les plus faibles sont observ\u00e9s en Languedoc-Roussillon (r\u00e9gion fortement viticole et caract\u00e9ris\u00e9e par un climat chaud et des sols peu \u00e9pais) et dans quelques zones de culture tr\u00e8s intensive (Beauce Chartraine, Nord). Les stocks de carbone faibles \u00e0 moyens (40-50 t/ha) sont caract\u00e9ristiques des sols des grandes plaines de culture intensive de France ainsi que des sols limoneux comme, par exemple, le grand Bassin parisien, une partie du Bassin aquitain, le Toulousain et le sillon Rhodanien. Les stocks de carbone moyennement \u00e9lev\u00e9s (50-70 t/ha) sont caract\u00e9ristiques des grandes r\u00e9gions foresti\u00e8res ou fourrag\u00e8res de France (Bretagne, Est, Massif central, Normandie) et les stocks de carbone les plus \u00e9lev\u00e9s correspondent \u00e0 des situations climatiques (sols situ\u00e9s en altitude), min\u00e9ralogiques (sols volcaniques du Massif central) ou hydriques extr\u00eames (marais de l\u2019Ouest, delta du Rh\u00f4ne).", "keywords": ["Earth and Environmental Science", "effet de serre", "horizons de surface", "sol", "Soils and soil sciences", "Earth and Environmental Sciences", "Soil Sciences", "France", "carbone", "Environmental Research", "Natural Sciences", "stock de carbone organique", "Geosciences"], "contacts": [{"organization": "Martin, Manuel", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/JCONRJ"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/JCONRJ", "name": "item", "description": "10.15454/JCONRJ", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/JCONRJ"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.1007/s12649-020-01023-3", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:15:02Z", "type": "Journal Article", "created": "2020-03-26", "title": "A Multiproduct Biorefinery Approach for the Production of Hydrogen, Methane and Volatile Fatty Acids from Agricultural Waste", "description": "Abstract

A pilot scale biorefinery platform for the treatment of agro-waste and the production of hydrogen, methane and volatile fatty acids was studied in real environment. The system adopted was a two stage anaerobic process where hydrogen and volatile fatty acids were produced in the first phase (fermentation) and methane in the second one (digestion). The study demonstrated the possibility to produce a biogas composed by hydrogen and methane (10% and 55%, respectively) while recovering volatile fatty acids. The yield for acids production was equivalent to 0.13\uffc2\uffa0gVFA/gTVS (as COD) with acetate and butyrate as dominant observed species.

Graphic Abstra", "keywords": ["Horizon 2020", "Environmental Engineering", "Circular economy", "Renewable Energy", " Sustainability and the Environment", "Polyhydroxyalkanoates", "7. Clean energy", "01 natural sciences", "6. Clean water", "Biorefinery", "12. Responsible consumption", "Bio-economy", "Bioresource recovery", "Euratom", "13. Climate action", "Volatile fatty acids", "European Union (EU)", "Waste Management and Disposal", "Agricultural waste", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://link.springer.com/content/pdf/10.1007/s12649-020-01023-3.pdf"}, {"href": "https://doi.org/10.1007/s12649-020-01023-3"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Waste%20and%20Biomass%20Valorization", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s12649-020-01023-3", "name": "item", "description": "10.1007/s12649-020-01023-3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s12649-020-01023-3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-03-26T00:00:00Z"}}, {"id": "10.1007/s13593-022-00787-3", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:15:03Z", "type": "Journal Article", "created": "2022-08-04", "title": "Relay intercropping can efficiently support weed managementin cereal-based cropping systems when appropriate legume speciesare chosen", "description": "Abstract

Relay intercropping of subsidiary legumes with durum wheat (living mulch) can be a viable option to support ecological weed control and optimize nutrient cycling in cereal-based cropping systems. However, the lack of knowledge on suitable legume species is often identified as the main bottleneck for the successful application of legume living mulches. This study aimed to evaluate the suitability of 12 different legumes for relay intercropping with wheat in two contrasting Mediterranean cereal-based cropping systems respectively characterized by low-input and integrated management. Each legume was monitored from the undersowing in wheat until the following spring and we compared direct drilling to broadcast sowing of legumes. None of the undersown legumes showed a negative effect on the wheat grain yield. Relay intercropping of legumes proved to be an effective solution to control weeds before and after the wheat harvest, provided suitable legumes species are chosen. Suitable legumes reduced the weed biomass up to the 90% during the intercropping and up to 94% in the following spring. On the contrary, legumes such as Trifoliumresupinatum, Viciavillosa, Medicagotruncatula, and Medicagoscutellata boosted weed growth in the following spring in comparison with the control. According to the performance of legumes, Medicagosativa, Trifoliumrepens and Medicagolupulina had the most suitable characteristics for relay intercropping with durum wheat at the Ravenna site, in a highly productive region whereas Medicagosativa, Hedysarumcoronarium and Trifoliumsubterraneum performed better in the low-input system near Pisa, where yields are generally lower. This is the first time that such a diversity in legumes species is tested in the same experiment for relay intercropping under diversified environmental and management conditions. The results of this study can support farmers in selecting the most appropriated legume species for their specific cropping systems and local conditions.

", "keywords": ["0106 biological sciences", "2. Zero hunger", "Living mulch", "Weed management", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "[SDV] Life Sciences [q-bio]", "IWMPRAISE", "Crop combinations and interactions", "Integrated Weed Management", "Horizon2020", "Crop diversification", "0401 agriculture", " forestry", " and fisheries", "Cereals", " pulses and oilseeds", "Subsidiary crops"]}, "links": [{"href": "https://www.iris.sssup.it/bitstream/11382/549112/1/s13593-022-00787-3.pdf"}, {"href": "https://link.springer.com/content/pdf/10.1007/s13593-022-00787-3.pdf"}, {"href": "https://doi.org/10.1007/s13593-022-00787-3"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy%20for%20Sustainable%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s13593-022-00787-3", "name": "item", "description": "10.1007/s13593-022-00787-3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s13593-022-00787-3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-08-01T00:00:00Z"}}, {"id": "10.1016/j.engstruct.2023.116469", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:15:48Z", "type": "Journal Article", "created": "2023-06-30", "title": "An analytical approach to model Structure\u2013Soil\u2013Structure Interaction (SSSI) of arbitrarily distributed buildings under SH waves", "description": "In this work, a simplified analytical framework based on the multiple scattering theory is proposed to model the structure\u2013soil\u2013structure interaction of buildings excited by antiplane shear waves. To this purpose, each building is modelled as a single degree-of-freedom oscillator, whereas the soil as a viscoelastic layer laying on an elastic half-space. By neglecting the soil-foundation kinematic interaction and considering only its inertial counterpart, the coupled response of buildings is modelled using a multiple scattering approach, where the buildings scattered wavefields are described via Green\u2019s functions. The developed analytical framework is exploited to discuss the dynamic response of a single building, evaluating the variation of its amplitude with respect to the characteristic site frequencies. The dynamics of two buildings are then studied by modelling their coupled response. In particular, the interaction between them is investigated as a function of the buildings spacing, mass, and relative stiffness. Finally, the analysis is extended to the coupled response of a cluster of five buildings. Through the discussed examples, it is demonstrated how the proposed methodology can serve as a computationally inexpensive tool for predicting the interaction among vibrating structures under shear antiplane waves propagating at different frequencies.", "keywords": ["0211 other engineering and technologies", "02 engineering and technology", "Structure\u2013soil\u2013structure interaction Multiple scattering Shear horizontal waves Green\u2019s function Coupled response", "0201 civil engineering"]}, "links": [{"href": "https://cris.unibo.it/bitstream/11585/940494/3/An%20analytical%20approach%20to%20model.pdf"}, {"href": "https://doi.org/10.1016/j.engstruct.2023.116469"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Engineering%20Structures", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.engstruct.2023.116469", "name": "item", "description": "10.1016/j.engstruct.2023.116469", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.engstruct.2023.116469"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-10-01T00:00:00Z"}}, {"id": "10.1016/j.cofs.2020.11.012", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:15:37Z", "type": "Journal Article", "created": "2020-12-09", "title": "Environmental microbiome mapping as a strategy to improve quality and safety in the food industry", "description": "In food industries, an environmentally-adapted microbiome can colonize the surfaces of equipment and tools and be transferred to the food product or intermediates of production. These complex microbial consortia may include microbial spoilers, pathogens, as well as beneficial microbes. Advances in sequencing technologies and metagenomics provide the opportunity to map the environmental microbiome in food industries at an unprecedented depth, highlighting the importance of the resident microbial communities in influencing food quality and safety, as well as the main factors shaping its composition and activities. However, specific technical issues must be considered. Although microbiome mapping in the food industry has the potential to revolutionize food safety and quality management systems, its application as routine practice is still challenging and technical issues limit the exploitation of the powerful information that can be obtained by the application of such state-of-the-art approaches.", "keywords": ["Aurora Universities Network", "0301 basic medicine", "2. Zero hunger", "0303 health sciences", "EC", "food industry", "H2020", "food quality", "Applied Microbiology and Biotechnology", "Horizon 2020 Framework Programme", "Innovation action", "food safety", "03 medical and health sciences", "contamination", "13. Climate action", "Metagenomics", "European Commission", "Knowmad Institut", "environmental microbiome", "Food Science"]}, "links": [{"href": "https://www.iris.unina.it/bitstream/11588/828326/1/COFS%2c2021_EnvMapping.pdf"}, {"href": "https://doi.org/10.1016/j.cofs.2020.11.012"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Current%20Opinion%20in%20Food%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.cofs.2020.11.012", "name": "item", "description": "10.1016/j.cofs.2020.11.012", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.cofs.2020.11.012"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-04-01T00:00:00Z"}}, {"id": "10.1016/j.colsurfb.2023.113433", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:15:38Z", "type": "Journal Article", "created": "2023-06-28", "title": "Contrasting transport and fate of hydrophilic and hydrophobic bacteria in wettable and water-repellent porous media: Straining or attachment?", "description": "Bacterial transport and retention likely depend on bacterial and soil surface properties, especially hydrophobicity. We used a controlled experimental setup to explore hydrophilic Escherichia coli (E. coli) and hydrophobic Rhodococcus erythropolis (PTCC1767) (R. erythropolis) transport through dry (-\u00a015,000\u00a0cm water potential) and water saturated (0\u00a0cm water potential) wettable and water-repellent sand columns. A pulse of bacteria (1\u00a0\u00d7\u00a0108 CFU mL-1) and bromide (10\u00a0mmol\u00a0L-1) moved through the columns under saturated flow (0\u00a0cm) for four pore volumes. A second bacteria and bromide pulse was then poured on the column surfaces and leaching was extended six more pore volumes. In dry wettable sand attachment dominated E. coli retention, whereas R. erythropolis was dominated by straining. Once wetted, the dominant retention mechanisms flipped between these bacteria. Attachment by either bacteria decreased markedly in water-repellent sand, so straining was the main retention mechanism. We explain this from capillary potential energy, which enhanced straining under the formation of water films at very early times (i.e., imbibing) and film thinning at much later times (i.e., draining). The interaction between the hydrophobicity of bacteria and soil on transport, retention and release mechanisms needs greater consideration in predictions.", "keywords": ["Bromides", "2040 Environment and Biodiversity", "570", "Supplementary Information", "Wetting characteristics", "Vadose zone", "610", "Soil", "Colloid and Surface Chemistry", "Sand", "Pore-scale processes", "Escherichia coli", "Physical and Theoretical Chemistry", "European Commission", "101026287", "SDG 15 - Life on Land", "Drought", "T", "Water", "Surfaces and Interfaces", "T Technology", "Interfacial processes", "3. Good health", "TC Hydraulic engineering. Ocean engineering", "Marie Sklodowska-Curie grant", "EU Horizon 2020", "SDG 6 - Clean Water and Sanitation", "TC", "Porosity", "Hydrophobic and Hydrophilic Interactions", "Biotechnology"]}, "links": [{"href": "https://doi.org/10.1016/j.colsurfb.2023.113433"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Colloids%20and%20Surfaces%20B%3A%20Biointerfaces", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.colsurfb.2023.113433", "name": "item", "description": "10.1016/j.colsurfb.2023.113433", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.colsurfb.2023.113433"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-08-01T00:00:00Z"}}, {"id": "10.1016/j.cub.2020.09.063", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:15:39Z", "type": "Journal Article", "created": "2020-10-15", "title": "Newly explored\u00a0Faecalibacterium\u00a0diversity is connected to age, lifestyle, geography, and disease.", "description": "Faecalibacterium is prevalent in the human gut and a promising microbe for the development of next-generation probiotics (NGPs) or biotherapeutics. Analyzing reference Faecalibacterium genomes and almost 3,000 Faecalibacterium-like metagenome-assembled genomes (MAGs) reconstructed from 7,907 human and 203 non-human primate gut metagenomes, we identified the presence of 22 different Faecalibacterium-like species-level genome bins (SGBs), some further divided in different strains according to the subject geographical origin. Twelve SGBs are globally spread in the human gut and show different genomic potential in the utilization of complex polysaccharides, suggesting that higher SGB diversity may be related with increased utilization of plant-based foods. Moreover, up to 11 different species may co-occur in the same subject, with lower diversity in Western populations, as well as intestinal inflammatory states and obesity. The newly explored Faecalibacterium diversity will be able to support the choice of strains suitable as NGPs, guided by the consideration of the differences existing in their functional potential.", "keywords": ["Adult", "0301 basic medicine", "pangenome", "Adolescent", "gut microbiome", "Datasets as Topic", "General Biochemistry", " Genetics and Molecular Biology", "Innovation action", "Feces", "03 medical and health sciences", "Animals", "Humans", "biotherapeutics", "European Commission", "Child", "Life Style", "Faecalibacterium", "Aged", "Aurora Universities Network", "Horizon 2020", "0303 health sciences", "EC", "Geography", "Faecalibacterium prausnitzii", "H2020", "Age Factors", "Infant", "Middle Aged", "Gastrointestinal Microbiome", "Faecalibacterium prausnitzii", " gut microbiome", " strain diversity", " pangenome", " novel probiotics", " biotherapeutics", "Child", " Preschool", "novel probiotics", "Dysbiosis", "Macaca", "Metagenome", "strain diversity", "Metagenomics", "General Agricultural and Biological Sciences"]}, "links": [{"href": "https://www.iris.unina.it/bitstream/11588/819607/1/PIIS0960982220314330.pdf"}, {"href": "https://doi.org/10.1016/j.cub.2020.09.063"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Current%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.cub.2020.09.063", "name": "item", "description": "10.1016/j.cub.2020.09.063", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.cub.2020.09.063"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-01T00:00:00Z"}}, {"id": "10.1016/j.eja.2019.125974", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:15:45Z", "type": "Journal Article", "created": "2019-11-29", "title": "Protein-rich legume and pseudo-cereal crop suitability under present and future European climates", "description": "Abstract Replacing animal proteins with plant proteins in diets has been demonstrated to have both health and environmental advantages, driving a debate about the potential of protein-rich crops as dietary replacements for animal products. However, there is a lack of knowledge on how climate change could influence the potential for producing protein-rich crops. This study addresses this knowledge gap for the European Union. We analysed 13 protein-rich crops, using the crop suitability model EcoCrop and climate projections for the 2050s, based on 30 Global Circulation Models, under the Representative Concentration Pathway 4.5. The results suggest that current protein-rich crop distributions reflect climatic suitability. We demonstrate the heterogeneous impacts of climate change on crop suitability. In general, conditions in northern Europe were modelled to become more favourable for protein-rich crops, while in southern Europe modelled future climates limit the production of traditional protein-rich crops commonly grown there, including chickpea and lentil. Model results show an expanded area of high suitability for quinoa. Our results confirm the need for concerted breeding and research planning strategies to improve the tolerance of faba bean, lentil, and chickpea to the abiotic stresses that are predicted to become more common with climate change. At the same time, production in northern Europe can benefit from experimentation with protein-rich crops predicted to become more suitable there. Production planning and agricultural policy should consider these likely impacts, to encourage shifts that follow the emerging geographic patterns of crop suitability, and to support the resilience of protein-rich crop production in regions that may be negatively impacted by climate change.", "keywords": ["2. Zero hunger", "Horizon 2020", "abiotic stress", "EC", "legumes", "H2020", "Soil Science", "Plant Science", "04 agricultural and veterinary sciences", "15. Life on land", "crops", "Energy Research", "01 natural sciences", "proteins", "Research and Innovation action", "climate change", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "European Commission", "Agronomy and Crop Science", "Knowmad Institut", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.eja.2019.125974"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/European%20Journal%20of%20Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.eja.2019.125974", "name": "item", "description": "10.1016/j.eja.2019.125974", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.eja.2019.125974"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-02-01T00:00:00Z"}}, {"id": "10.1016/j.jece.2020.104657", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:16:19Z", "type": "Journal Article", "created": "2020-10-24", "title": "Reductive/oxidative sequential bioelectrochemical process for Perchloroethylene (PCE) removal: effect of the applied reductive potential and microbial community characterization", "description": "Abstract In this paper, a bioelectrochemical process has been developed by the combination of two membrane-less reactors equipped with an internal graphite granules counterelectrode for the perchloroethylene (PCE) removal through a reductive/oxidative sequence. In the reductive reactor, the cathodic chamber supplied the reducing power to PCE dechlorinating biomass while a rutile electrode promoted the aerobic dechlorination of the less chlorinated PCE byproducts by oxygen in situ evolution. Two potentiostatic conditions, -350 and -550 mV vs SHE, were tested on the reductive reactor, which showed the capability to completely reduce the PCE into vinyl chloride (VC) and ethylene (Eth). These compounds were completely removed by the oxidative reactor with an average VC and Eth removal efficiency of 94 \u00b1 1% and 98 \u00b1 1%. The -350 mV vs SHE condition resulted in the higher coulombic efficiency for the reductive dechlorination which reached 22 \u00b1 7 % while by increasing the reductive potential to -550 mV the coulombic efficiency drop down to 6 \u00b1 1 % in favor of the methanogenesis reaction. Dehalococcoides mccartyi was found at high abundance in the reducing reactor while a heterogeneous bacterial consortium was observed in the oxidative reactor. Microbiome characterization of the reductive and oxidative reactors showed the concomitant presence of different redox niches in each compartment suggesting that the exchange of ionic species between the electrode and the counterelectrode allowed the co-existence of both reducing and oxidative reactions.", "keywords": ["0301 basic medicine", "0303 health sciences", "EC", "reductive dechlorination; oxidative dechlorination; bioremediation; bioelectrochemical systems; chlorinated aliphatic hydrocarbons; groundwater remediation", "Reductive dechlorination", "Process Chemistry and Technology", "H2020", "Pollution", "Horizon 2020 Framework Programme", "6. Clean water", "Research and Innovation action", "Bioelectrochemical systems", "03 medical and health sciences", "bioremediation", "Chemical Engineering (miscellaneous)", "European Commission", "Waste Management and Disposal"]}, "links": [{"href": "https://doi.org/10.1016/j.jece.2020.104657"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Environmental%20Chemical%20Engineering", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jece.2020.104657", "name": "item", "description": "10.1016/j.jece.2020.104657", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jece.2020.104657"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-02-01T00:00:00Z"}}, {"id": "10.1016/j.jhazmat.2024.134885", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:16:22Z", "type": "Journal Article", "created": "2024-06-12", "title": "Anthropogenic pollution may enhance natural transformation in water, favouring the spread of antibiotic resistance genes", "description": "Aquatic ecosystems are crucial in the antimicrobial resistance cycle. While intracellular DNA has been extensively studied to understand human activity's impact on antimicrobial resistance gene (ARG) dissemination, extracellular DNA is frequently overlooked. This study examines the effect of anthropogenic water pollution on microbial community diversity, the resistome, and ARG dissemination. We analyzed intracellular and extracellular DNA from wastewater treatment plant effluents and lake surface water by shotgun sequencing. We also conducted experiments to evaluate anthropogenic pollution's effect on transforming extracellular DNA (using Gfp-plasmids carrying ARGs) within a natural microbial community. Chemical analysis showed treated wastewater had higher anthropogenic pollution-related parameters than lake water. The richness of microbial community, antimicrobial resistome, and high-risk ARGs was greater in treated wastewaters than in lake waters both for intracellular and extracellular DNA. Except for the high-risk ARGs, richness was significantly higher in intracellular than in extracellular DNA. Several ARGs were associated with mobile genetic elements and located on plasmids. Furthermore, Gfp-plasmid transformation within a natural microbial community was enhanced by anthropogenic pollution levels. Our findings underscore anthropogenic pollution's pivotal role in shaping microbial communities and their antimicrobial resistome. Additionally, it may facilitate ARG dissemination through extracellular DNA plasmid uptake.", "keywords": ["Bacteria", "Antibiotic resistance", "Microbiota", "Water Pollution", "Metagenome assembled genomes", "Drug Resistance", " Microbial", "Horizontal gene transfer", "Wastewater", "extracellular DNA; antibiotic resistance; metagenome assembled genomes; transformation; horizontal gene transfer", "Transformation", "Anti-Bacterial Agents", "Lakes", "Extracellular DNA", "Genes", " Bacterial", "Drug Resistance", " Bacterial", "Water Microbiology", "Plasmids"]}, "links": [{"href": "https://air.unimi.it/bitstream/2434/1115155/2/Sivalingam%20et%20al%202024.pdf"}, {"href": "https://doi.org/10.1016/j.jhazmat.2024.134885"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Hazardous%20Materials", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jhazmat.2024.134885", "name": "item", "description": "10.1016/j.jhazmat.2024.134885", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jhazmat.2024.134885"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-08-01T00:00:00Z"}}, {"id": "10.1016/j.scitotenv.2018.10.268", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:16:34Z", "type": "Journal Article", "created": "2018-10-22", "title": "Antibiotic resistance genes distribution in microbiomes from the soil-plant-fruit continuum in commercial Lycopersicon esculentum fields under different agricultural practices", "description": "While the presence of antibiotic resistance genes (ARGs) in agricultural soils and products has been firmly established, their distribution among the different plant parts and the contribution of agricultural practices, including irrigation with reclaimed water, have not been adequately addressed yet. To this end, we analyzed the levels of seven ARGs (sul1, blaTEM, blaCTX-M-32, mecA, qnrS1, tetM, blaOXA-58), plus the integrase gene intl1, in soils, roots, leaves, and fruits from two commercial tomato fields irrigated with either unpolluted groundwater or from a channel impacted by treated wastewater, using culture-independent, quantitative real-time PCR methods. ARGs and intl1 sequences were found in leaves and fruits at levels representing from 1 to 10% of those found in roots or soil. The relative abundance of intl1 sequences correlated with tetM, blaTEM, and sul1 levels, suggesting a high horizontal mobility potential for these ARGs. High-throughput 16S rDNA sequencing revealed microbiome differences both between sample types (soil plus roots versus leaves plus fruits) and sampling zones, and a correlation between the prevalence of Pseudomonadaceae and the levels of different ARGs, particularly in fruits and leaves. We concluded that both microbiome composition and ARGs levels in plants parts, including fruits, were likely influenced by agricultural practices.", "keywords": ["0301 basic medicine", "2. Zero hunger", "0303 health sciences", "Antibiotic resistance", "Microbiota", "Microbiomes", "Agriculture", "Drug Resistance", " Microbial", "Horizontal gene transfer", "Irrigation water", "15. Life on land", "6. Clean water", "qPCR", "Soil", "03 medical and health sciences", "Solanum lycopersicum", "Genes", " Bacterial", "Fruit", "Soil Microbiology", "Environmental Monitoring"]}, "links": [{"href": "https://doi.org/10.1016/j.scitotenv.2018.10.268"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.scitotenv.2018.10.268", "name": "item", "description": "10.1016/j.scitotenv.2018.10.268", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.scitotenv.2018.10.268"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-02-01T00:00:00Z"}}, {"id": "10.1016/j.sandf.2019.07.004", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:16:30Z", "type": "Journal Article", "created": "2019-08-28", "title": "Design of horizontal drains for the mitigation of liquefaction risk", "description": "Abstract Drainage is one of the most popular protecting measures to mitigate ground liquefaction. Deploying the drains horizontally may be convenient where conventional vertical ones cannot be used, like beneath existing structures. The spacing among drains must be designed to limit the pore pressure build-up during shaking. The usual assumptions of radial consolidation around vertical drains, stemming from the assumption of an infinite number of drains, may not be appropriate for horizontal ones, since the latter are generally arranged in few rows at a shallow depth, especially if drainage at the ground level is possible as well. Hence, existing solutions for vertical \u201cearthquake\u201d drains have been modified in this work to take into account such different geometrical features. The resulting solution has been validated against numerical and experimental sets of data. Charts covering a wide range of geometrical layouts, soil properties, and seismic actions are finally proposed. They can be used to design the drain spacing that is needed so as not to exceed the target value of excess pore pressure in the ground.", "keywords": ["Liquefaction", "Design approach", "Consolidation", " Design approach", " Drainage", " Horizontal drains", " Liquefaction", " Risk mitigation", "Risk mitigation", "0211 other engineering and technologies", "Drainage", "02 engineering and technology", "Horizontal drains", "Consolidation", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.1016/j.sandf.2019.07.004"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soils%20and%20Foundations", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.sandf.2019.07.004", "name": "item", "description": "10.1016/j.sandf.2019.07.004", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.sandf.2019.07.004"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-10-01T00:00:00Z"}}, {"id": "10.1071/ar00043", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:17:49Z", "type": "Journal Article", "created": "2002-09-16", "title": "Effects Of Lime And Gypsum On Growth Of Sweet Potato In Two Strongly Acid Soils", "description": "

There were strong relationships between exchangeable aluminium (Al) and relative top yield, and between soil pH and relative top yield in the Garret and Bisinella soils. Sweet potato plants produced maximum top yields at soil exchangeable Al <3.0 cmol ((+)/kg, with a 10% yield reduction coinciding with a value of approximately 5.0 cmol (+)/kg. The value was lower for the Bisinella soil than the Garret soil. In the case of pH, maximum yield in both soils was evident at a soil pH of 5.0 with 90% of maximum yield being achieved at about pH 4.7. These results suggest that soil pH would be a good index for Al toxicity. The close relationships between sweet potato growth and both exchangeable Al and soil pH need to be explored further to determine whether it will hold across a wide range of acid soil groups.

", "keywords": ["2. Zero hunger", "Manganese", "Multidisciplinary", "Ph", "Cultivars", "Agriculture", "04 agricultural and veterinary sciences", "C1", "Land and Farm Management", "Subsoil Horizons", "0401 agriculture", " forestry", " and fisheries", "Calcium", "Root Elongation", "Aluminum", "0701 Agriculture"], "contacts": [{"organization": "Ilaava, Vele P., Blamey, Pax, Asher, Colin J.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1071/ar00043"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Australian%20Journal%20of%20Agricultural%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1071/ar00043", "name": "item", "description": "10.1071/ar00043", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1071/ar00043"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2000-01-01T00:00:00Z"}}, {"id": "10.1038/s41558-023-01721-5", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:17:33Z", "type": "Journal Article", "created": "2023-06-29", "title": "Soil organic carbon stocks potentially at risk of decline with organic farming expansion", "description": "The authors simulated the impact of organic farming expansion on soil organic carbon. They found that soil organic carbon stock may be at risk of decline if the complete conversion to organic farming does not involve additional practices such as widespread cover cropping and residue recycling.Organic farming is often considered a strategy that increases croplands' soil organic carbon (SOC) stock. However, organic farms currently occupy only a small fraction of cropland, and it is unclear how the full-scale expansion of organic farming will impact soil carbon inputs and SOC stocks. Here we use a spatially explicit biogeochemical model to show that the complete conversion of global cropland to organic farming without the use of cover crops and plant residue (normative scenario) will result in a 40% reduction of global soil carbon input and 9% decline in SOC stock. An optimal organic scenario that supports widespread cover cropping and enhanced residue recycling will reduce global soil carbon input by 31%, and SOC can be preserved after 20 yr following conversion to organic farming. These results suggest that expanding organic farming might reduce the potential for soil carbon sequestration unless appropriate farming practices are implemented.", "keywords": ["[SDE] Environmental Sciences", "2. Zero hunger", "Horizon 2020", "Supplementary Information", "550", "330", "QH301 Biology", "610", "Environmental Science (miscellaneous)", "15. Life on land", "7. Clean energy", "630", "Environmental impact", "QH301", "biogeochemistry", "13. Climate action", "[SDE]Environmental Sciences", "SDG 13 - Climate Action", "774378", "Social Sciences (miscellaneous)", "agriculture", "European Research Council"]}, "links": [{"href": "https://doi.org/10.1038/s41558-023-01721-5"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Climate%20Change", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41558-023-01721-5", "name": "item", "description": "10.1038/s41558-023-01721-5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41558-023-01721-5"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-06-29T00:00:00Z"}}, {"id": "10.1039/c9ew00220k", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:17:40Z", "type": "Journal Article", "created": "2019-04-29", "title": "Long-term performance evaluation of an anoxic sulfur oxidizing moving bed biofilm reactor under nitrate limited conditions", "description": "

An anoxic sulfur-oxidizing moving bed biofilm reactor (MBBR) treating sulfur and nitrate-contaminated synthetic wastewater was monitored for 306 days under feed nitrogen-to-sulfur (N/S) molar ratios of 0.5, 0.3 and 0.1.

", "keywords": ["Aurora Universities Network", "570", "Horizon 2020", "EC", "Environmental Engineering", "218 Environmental engineering", "116 Chemical sciences", "H2020", "116", "6. Clean water", "218", "European Joint Doctorates", "11. Sustainability", "European Commission", "Knowmad Institut", "Netherlands", "Water Science and Technology"]}, "links": [{"href": "http://pubs.rsc.org/en/content/articlepdf/2019/EW/C9EW00220K"}, {"href": "https://doi.org/10.1039/c9ew00220k"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Science%3A%20Water%20Research%20%26amp%3B%20Technology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1039/c9ew00220k", "name": "item", "description": "10.1039/c9ew00220k", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1039/c9ew00220k"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.1080/00207543.2019.1634849", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:17:59Z", "type": "Journal Article", "created": "2019-07-04", "title": "A rolling horizon simulation approach for managing demand with lead time variability", "description": "Open Access[EN] This paper proposes a rolling horizon (RH) approach to deal with management problems under dynamic demand in planning horizons with variable lead times using system dynamics (SD) simulation. Thus, the nature of dynamic RH solutions entails no inconveniences to contemplate planning horizons with unpredictable demands. This is mainly because information is periodically updated and replanning is done in time. Therefore, inventory and logistic costs may be lower. For the first time, an RH is applied for demand management with variable lead times along with SD simulation models, which allowed the use of lot-sizing techniques to be evaluated (Wagner-Whitin and Silver-Meal). The basic scenario is based on a real-world example from an automotive single-level SC composed of a first-tier supplier and a car assembler that contemplates uncertain demands while planning the RH and 216 subscenarios by modifying constant and variable lead times, holding costs and order costs, combined with lot-sizing techniques. Twenty-eight more replications comprising 504 new subscenarios with variable lead times are generated to represent a relative variation coefficient of the initial demand. We conclude that our RH simulation approach, along with lot-sizing techniques, can generate more sustainable planning results in total costs, fill rates and bullwhip effect terms.", "keywords": ["Demand management", "Supply chain dynamics", "ORGANIZACION DE EMPRESAS", "0211 other engineering and technologies", "Rolling horizon", "02 engineering and technology", "7. Clean energy", "Simulation"]}, "links": [{"href": "https://www.tandfonline.com/doi/pdf/10.1080/00207543.2019.1634849"}, {"href": "https://doi.org/10.1080/00207543.2019.1634849"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Journal%20of%20Production%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1080/00207543.2019.1634849", "name": "item", "description": "10.1080/00207543.2019.1634849", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1080/00207543.2019.1634849"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-03T00:00:00Z"}}, {"id": "10.1111/j.1475-2743.2003.tb00305.x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:18:50Z", "type": "Journal Article", "created": "2003-10-02", "title": "The Effect Of Hedgerows On Soil Organic Carbon Storage In Hillslopes", "description": "

Abstract. The Bocage in the western part of Europe is an ancient rural landscape characterized by a network of hedgerows. The system studied here consists of hedges growing on earth and stone banks, which are found in the Armorican Massif (western France). Seven sites were analysed, which represented a large, but not complete, set of situations. We investigated the influence of hedges parallel to contour lines on soil characteristics, soil profile morphology and carbon storage at the hillslope scale. The analysis is based on a morphological description of the soil catena from the top of the hill to downslope of the hedge, and on measurements of bulk density and organic carbon in different soil profiles on the slopes. The results show that thickness of the organic horizon increases slowly from the top of the hill as far as the hedge, whereas under the hedge the bulk density is low and the soil organic carbon (SOC) storage large. Two effects of the hedges on SOC storage are apparent, namely, a local effect under the hedge, due to tree activity, and an anti\uffe2\uff80\uff90erosive effect at the hillslope scale. A rough approximation based on these data assessed the fraction of SOC storage attributed to the hedge network of between 13 and 38% of the total carbon stock.

", "keywords": ["statistical method", "organic carbon", "massif armoricain", "stockage", "\u00e9rosion", "04 agricultural and veterinary sciences", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "hedge", "densit\u00e9 en place", "15. Life on land", "TENEUR EN CARBONE DU SOL", "bocage", "horizon", "storage", "carbone organique", "soil organic matter", "armorican massif", "m\u00e9thode statistique", "0401 agriculture", " forestry", " and fisheries", "haie", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "mati\u00e8re organique du sol"]}, "links": [{"href": "https://doi.org/10.1111/j.1475-2743.2003.tb00305.x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Use%20and%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/j.1475-2743.2003.tb00305.x", "name": "item", "description": "10.1111/j.1475-2743.2003.tb00305.x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/j.1475-2743.2003.tb00305.x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2003-09-01T00:00:00Z"}}, {"id": "10.1186/s40100-019-0133-9", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:19:12Z", "type": "Journal Article", "created": "2019-07-14", "title": "Partnering for sustainability in agri-food supply chains: the case of Barilla Sustainable Farming in the Po Valley", "description": "Abstract The objective of the paper is to understand the process of designing a multi-stakeholder partnership in the adoption of sustainable innovations in value chains. More specifically, the focus is on the design of feasible types of horizontal agreements and contractual formulas to be implemented in the agri-food supply chain in order to introduce sustainable agricultural practices. To this purpose, the Barilla Sustainable Farming initiative, which is currently in the first phase of designing an MSP, is used as a case study.", "keywords": ["HD9000-9495", "2. Zero hunger", "330", "ddc:330", "Nutrition. Foods and food supply", "05 social sciences", "Supply chain protocols", "Horizontal agreements", "Agricultural industries", "Contract design", "01 natural sciences", "12. Responsible consumption", "Sustainability", "Crop rotation", "11. Sustainability", "0502 economics and business", "TX341-641", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://link.springer.com/content/pdf/10.1186/s40100-019-0133-9.pdf"}, {"href": "https://doi.org/10.1186/s40100-019-0133-9"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20and%20Food%20Economics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1186/s40100-019-0133-9", "name": "item", "description": "10.1186/s40100-019-0133-9", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1186/s40100-019-0133-9"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-14T00:00:00Z"}}, {"id": "10.15388/polit.2024.116.1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:19:29Z", "type": "Journal Article", "created": "2024-11-27", "title": "European Science Diplomacy in the Southern Neighbourhood: Insights from Morocco and Tunisia", "description": "

The resilience-building in the European Southern Neighbourhood benefits from access to research-intense solutions developed by and in collaboration with centres of competence located across Europe. Data-set observations retrieved from \u2018Community Research and Development Information Service\u2019 (CORDIS) indicate that despite the overall propensity towards establishing relational ties with Horizon 2020 project coordinators located in the European Mediterranean littoral countries, Morocco and Tunisia, profited from exposure to the thematically diverse and geographically dispersed expertise hosted by the European Research Area. Practice theory with a focus on the field and process tracing provide a good basis for analysing past research interlinks that offer some limited, yet valuable insights into the implicit European science diplomacy routines, including examples that support the positioning of France, Spain, especially Barcelona, as explicit science diplomacy hubs.

", "keywords": ["Political science (General)", "Horizon 2020", "European Southern Neighbourhood", "science diplomacy", "practice theory", "research cooperation", "JA1-92", "European Research Area"], "contacts": [{"organization": "Zane \u0160ime", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15388/polit.2024.116.1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Politologija", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.15388/polit.2024.116.1", "name": "item", "description": "10.15388/polit.2024.116.1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15388/polit.2024.116.1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-27T00:00:00Z"}}, {"id": "10.21258/1172391", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:19:51Z", "type": "Dataset", "title": "Inventaire forestier national suisse - Tableau no 142988", "keywords": ["r\u00e9gions biog\u00e9ographiques", "r\u00e9seau IFN4 2009\u20132013 / IFN5 2018\u20132022", "for\u00eat accessible sans la for\u00eat buissonnante IFN3/IFN4", "distance horizontale placette-route (4 classes)", "surface foresti\u00e8re", "IFN3"], "contacts": [{"organization": "Abegg, M., Br\u00e4ndli, U.-B., Cioldi, F., Fischer, C., Herold-Bonardi, A., Huber M., Keller, M., Meile, R., R\u00f6sler, E., Speich, S., Traub, B., Vidondo, B.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.21258/1172391"}, {"rel": "self", "type": "application/geo+json", "title": "10.21258/1172391", "name": "item", "description": "10.21258/1172391", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.21258/1172391"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-01-01T00:00:00Z"}}, {"id": "10.2478/logos-2018-0025", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:20:22Z", "type": "Journal Article", "created": "2019-01-28", "title": "A comparison of the efficiency of riverbank filtration treatments in different types of wells", "description": "Abstract

In the paper, a comparison of the efficiency of riverbank treatments is outlined for the Krajkowo well field, where different methods of water abstraction are used. The water is extracted from 29 vertical wells that are located at a distance of 60\uffe2\uff80\uff9380 m from the channel of the River Warta and from a horizontal well with radial drains located 5 m below the bottom of the river. The results of a two-year water-quality investigation indicate that the water quality in both types of abstraction system is influenced by the quality of river water. The water quality observed in the horizontal well is closely similar to that of the river water, with similar concentrations of sulphates, nitrates and micropollutants, but a reduction in bacteriological contamination and plankton is clearly seen. The reduction in contaminants is mainly the result of physical processes, such as mechanical entrapment of suspended material and colloids as well as bacteria and plankton. In the vertical wells, the influence of contamination from river water is also visible, but the reduction in contamination is more significant, especially in cases of bacteria, plankton, micropollutants and nitrates, and is determined by both physical and chemical processes, such as sorption, dissolution, red-ox processes and denitrification. The present research shows that river water treatment is more effective in the case of vertical wells. The most favourable distance of a well from the channel of the river, from the perspective of water quality, is 150\uffe2\uff80\uff93200 m, which corresponds to a residence time of about six months.

", "keywords": ["riverbank filtration", "QE1-996.5", "0208 environmental biotechnology", "0207 environmental engineering", "Geology", "horizontal well", "02 engineering and technology", "14. Life underwater", "groundwater and surface water contamination", "6. Clean water", "12. Responsible consumption"], "contacts": [{"organization": "G\u00f3rski, J\u00f3zef, Dragon, Krzysztof, Kru\u0107, Roksana,", "roles": ["creator"]}]}, "links": [{"href": "https://www.sciendo.com/pdf/10.2478/logos-2018-0025"}, {"href": "https://doi.org/10.2478/logos-2018-0025"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geologos", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2478/logos-2018-0025", "name": "item", "description": "10.2478/logos-2018-0025", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2478/logos-2018-0025"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-12-01T00:00:00Z"}}, {"id": "10.3389/fmicb.2017.01947", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:20:32Z", "type": "Journal Article", "created": "2017-10-10", "title": "Nitric Oxide Accumulation: The Evolutionary Trigger for Phytopathogenesis", "description": "Many publications highlight the importance of nitric oxide (NO) in plant-bacteria interactions, either in the promotion of health and plant growth or in pathogenesis. However, the role of NO in the signaling between bacteria and plants and in the fate of their interaction, as well as the reconstruction of their interactive evolution, remains largely unknown. Despite the complexity of the evolution of life on Earth, we explore the hypothesis that denitrification and aerobic respiration were responsible for local NO accumulation, which triggered primordial antagonistic biotic interactions, namely the first phytopathogenic interactions. N-oxides, including NO, could globally accumulate via lightning synthesis in the early anoxic ocean and constitute pools for the evolution of denitrification, considered an early step of the biological nitrogen cycle. Interestingly, a common evolution may be proposed for components of denitrification and aerobic respiration pathways, namely for NO and oxygen reductases, a theory compatible with the presence of low amounts of oxygen before the great oxygenation event (GOE), which was generated by Cyanobacteria. During GOE, the increase in oxygen caused the decrease of Earth's temperature and the consequent increase of oxygen dissolution and availability, making aerobic respiration an increasingly dominant trait of the expanding mesophilic lifestyle. Horizontal gene transfer was certainly important in the joint expansion of mesophily and aerobic respiration. First denitrification steps lead to NO formation through nitrite reductase activity, and NO may further accumulate when oxygen binds NO reductase, resulting in denitrification blockage. The consequent transient NO surplus in an oxic niche could have been a key factor for a successful outcome of an early denitrifying prokaryote able to scavenge oxygen by NO/oxygen reductase or by an independent heterotrophic aerobic respiration pathway. In fact, NO surplus could result in toxicity causing 'the first disease' in oxygen-producing Cyanobacteria. We inspected in bacteria the presence of sequences similar to the NO-producing nitrite reductase nirS gene of Thermus thermophilus, an extreme thermophilic aerobe of the Thermus/Deinococcus group, which constitutes an ancient lineage related to Cyanobacteria. In silico analysis revealed the relationship between the presence of nirS genes and phytopathogenicity in Gram-negative bacteria.", "keywords": ["aerobic respiration", "0301 basic medicine", "denitrification", "Thermus thermophilus", "nitrite reductase NirS", "Horizontal gene transfer", "Denitrific", "Microbiology", "QR1-502", "Nitrite reductase NirS", "Ationerobic respiration", "03 medical and health sciences", "13. Climate action", "horizontal gene transfer"]}, "links": [{"href": "https://doi.org/10.3389/fmicb.2017.01947"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Microbiology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fmicb.2017.01947", "name": "item", "description": "10.3389/fmicb.2017.01947", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fmicb.2017.01947"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-10-10T00:00:00Z"}}, {"id": "10.5281/zenodo.10066772", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:21:54Z", "type": "Report", "title": "Zenodo training session for Papillons project", "keywords": ["papillons", "Horizon 2020", "FAIR data", "microplastics", "training", "Open Science", "open-source", "agriculture", "FAIR"], "contacts": [{"organization": "Girardin, Viviane, Leirvik, Kim,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10066772"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10066772", "name": "item", "description": "10.5281/zenodo.10066772", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10066772"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-11-02T00:00:00Z"}}, {"id": "10.5281/zenodo.10066773", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:21:54Z", "type": "Report", "title": "Zenodo training session for Papillons project", "keywords": ["papillons", "Horizon 2020", "FAIR data", "microplastics", "training", "Open Science", "open-source", "agriculture", "FAIR"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10066773"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10066773", "name": "item", "description": "10.5281/zenodo.10066773", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10066773"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-11-02T00:00:00Z"}}, {"id": "10.5281/zenodo.10417013", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:21:57Z", "type": "Report", "title": "Definition of scenarios on the bases of trends in relevant drivers - EJP Soil SERENA Deliverable 1.4", "description": "unspecifiedDisclaimer:The data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that: - It is the result of a modelling exercise and does not necessarily reflect reality. - Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy and prior knowledge of the technical choices made. - It is necessary to consider how the results have been obtained in order to decide on their relevance in relation to the intended purpose of reuse. - These results are interesting from a scientific point of view, but their use for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data. Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.", "keywords": ["EJP Soil", "Horizon 2020", "climate change", "land cover", "scenarios", "land management", "land use", "soil-based ecosystem services", "population trend", "soil threats", "SERENA"], "contacts": [{"organization": "Smiraglia, Daniela, Assennato, Francesca, Foldal, Cecilie, Asins-Velis, Sabina, Astover, Alar, Fioramonti, Veronica, Kukk, Liia, O'Sullivan, Lilian, Riitano, Nicola, Stefanova, Milena,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10417013"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10417013", "name": "item", "description": "10.5281/zenodo.10417013", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10417013"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-12-21T00:00:00Z"}}, {"id": "10.5281/zenodo.10417014", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:21:57Z", "type": "Report", "title": "Definition of scenarios on the bases of trends in relevant drivers - EJP Soil SERENA Deliverable 1.4", "description": "Open AccessDisclaimer:The data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that: - It is the result of a modelling exercise and does not necessarily reflect reality. - Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy and prior knowledge of the technical choices made. - It is necessary to consider how the results have been obtained in order to decide on their relevance in relation to the intended purpose of reuse. - These results are interesting from a scientific point of view, but their use for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data. Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.", "keywords": ["EJP Soil", "Horizon 2020", "climate change", "land cover", "scenarios", "land management", "land use", "Soil Science", "soil-based ecosystem services", "population trend", "soil threats", "SERENA"], "contacts": [{"organization": "Smiraglia, Daniela, Assennato, Francesca, Foldal, Cecilie, Asins-Velis, Sabina, Astover, Alar, Fioramonti, Veronica, Kukk, Liia, O'Sullivan, Lilian, Riitano, Nicola, Stefanova, Milena,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10417014"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10417014", "name": "item", "description": "10.5281/zenodo.10417014", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10417014"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-12-21T00:00:00Z"}}, {"id": "10.5281/zenodo.13912844", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:22:25Z", "type": "Report", "title": "D3.4_Map of Scenarios of Soil Threats and Soil Ecosystem Services in AT_zip", "description": "The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales. \u00a0 This dataset is part of the Project deliverable 3.4 of SERENA (https://ejpsoil.eu/soil-research/serena) and contains Austrian regional maps of results from the simulation of grassland management by the process-based LandscapeDNDC model. The maps present mean annual N2O emissions, soil carbon stocks, NO3- leaching and yield production of representative grassland soils in the regions. We used the Austrian digital soil map (https://bodenkarte.at/#/center/13.3458,47.7132) and LandscapeDNDC (https://ldndc.imk-ifu.kit.edu/)", "keywords": ["EJP Soil", "Austria", "Deliverable 3.4", "SERENA", "Grassland", "Regional", "Horizon 2020 Grant Number 862695"], "contacts": [{"organization": "Foldal, Cecilie Birgitte, Kitzler, Barbara,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13912844"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13912844", "name": "item", "description": "10.5281/zenodo.13912844", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13912844"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-10T00:00:00Z"}}, {"id": "1877CB98-D401-4727-B1C7-ED9B3344B7AF", "type": "Feature", "geometry": null, "properties": {"updated": "2020-02-14T00:00:00Z", "type": "Dataset", "language": "de", "title": "Boden\u00fcbersichtskarte 1:200.000 (B\u00dcK200) - CC8742 Bad Reichenhall", "description": "Die Boden\u00fcbersichtskarte 1:200.000 (B\u00dcK200) wird von der Bundesanstalt f\u00fcr Geowissenschaften und Rohstoffe (BGR) in Zusammenarbeit mit den Staatlichen Geologischen Diensten (SGD) der Bundesl\u00e4nder im Blattschnitt der Topographischen \u00dcbersichtskarte 1:200.000 (T\u00dcK200) erarbeitet und in 55 einzelnen Kartenbl\u00e4ttern herausgegeben. Die digitale, blattschnittfreie Datenhaltung bildet eine detaillierte, bundesweit einheitliche und fl\u00e4chendeckende Informationsgrundlage f\u00fcr L\u00e4nder \u00fcbergreifende Aussagen zu Bodennutzung und Bodenschutz. \u00dcber den aktuellen Bearbeitungsstand des Kartenwerks informieren die Internetseiten der BGR zum Thema Boden. Die Verbreitung und Vergesellschaftung der B\u00f6den auf dem Gebiet dieses Kartenblattes wird anhand von 74 Legendeneinheiten (gegliedert nach Bodenregionen und Bodengro\u00dflandschaften) beschrieben. Jede Legendeneinheit beinhaltet bodensystematische Informationen (Bodensubtyp) und Informationen zum Bodenausgangsgestein sowohl f\u00fcr die Leitb\u00f6den als auch f\u00fcr deren Begleiter. Im Zuge der Bearbeitung des B\u00dcK200-Nachbarblattes Rosenheim wurde der LBG-Datensatz von Bad Reichenhall am westlichen Blattrand ver\u00e4ndert (Stand 12. Dezember 2017).", "formats": [{"name": "PDF"}], "keywords": ["ackerbauliches-ertragspotential", "bad-reichenhall", "bayern", "boden", "bodenart", "bodenausgangsgestein", "bodenauslaugung", "bodenbearbeitung", "bodenbelastung", "bodenbildung", "bodenbiologie", "bodenchemie", "bodendegradation", "bodendekontamination", "bodeneigenschaften", "bodenerosion", "bodenfeuchtigkeit", "bodenform", "bodenfruchtbarkeit", "bodenfunktion", "bodengefu\u0308ge", "bodengesellschaft", "bodengestaltung", "bodengruppe", "bodengu\u0308te", "bodenhorizont", "bodeninformationssystem", "bodenkarte", "bodenluft", "bodenmechanik", "bodenmineralogie", "bodennutzbarkeit", "bodennutzung", "bodenphysikalische-eigenschaften", "bodenprofil", "bodenskelett", "bodensubstrat", "bodensystematik", "bodentyp", "bodenverbreitung", "de", "durchla\u0308ssigkeit", "effektive-durchwurzelungstiefe", "fachinformationssystem", "opendata", "soil"], "contacts": [{"organization": "Bundesanstalt f\u00fcr Geowissenschaften und Rohstoffe (BGR)", "roles": ["creator"]}]}, "links": [{"href": "https://download.bgr.de/bgr/Boden/BUEK200/8742/jpg/buek200_8742.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/8742/pdf/buek200_8742.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/8742/png/buek200_8742.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/8742/shp/buek200_8742.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/8742/tiff/buek200_8742.zip"}, {"href": "http://data.europa.eu/88u/dataset/1877cb98-d401-4727-b1c7-ed9b3344b7af"}, {"rel": "self", "type": "application/geo+json", "title": "1877CB98-D401-4727-B1C7-ED9B3344B7AF", "name": "item", "description": "1877CB98-D401-4727-B1C7-ED9B3344B7AF", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1877CB98-D401-4727-B1C7-ED9B3344B7AF"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "10451/51022", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:24:46Z", "type": "Journal Article", "created": "2017-10-10", "title": "Nitric Oxide Accumulation: The Evolutionary Trigger for Phytopathogenesis", "description": "Many publications highlight the importance of nitric oxide (NO) in plant-bacteria interactions, either in the promotion of health and plant growth or in pathogenesis. However, the role of NO in the signaling between bacteria and plants and in the fate of their interaction, as well as the reconstruction of their interactive evolution, remains largely unknown. Despite the complexity of the evolution of life on Earth, we explore the hypothesis that denitrification and aerobic respiration were responsible for local NO accumulation, which triggered primordial antagonistic biotic interactions, namely the first phytopathogenic interactions. N-oxides, including NO, could globally accumulate via lightning synthesis in the early anoxic ocean and constitute pools for the evolution of denitrification, considered an early step of the biological nitrogen cycle. Interestingly, a common evolution may be proposed for components of denitrification and aerobic respiration pathways, namely for NO and oxygen reductases, a theory compatible with the presence of low amounts of oxygen before the great oxygenation event (GOE), which was generated by Cyanobacteria. During GOE, the increase in oxygen caused the decrease of Earth's temperature and the consequent increase of oxygen dissolution and availability, making aerobic respiration an increasingly dominant trait of the expanding mesophilic lifestyle. Horizontal gene transfer was certainly important in the joint expansion of mesophily and aerobic respiration. First denitrification steps lead to NO formation through nitrite reductase activity, and NO may further accumulate when oxygen binds NO reductase, resulting in denitrification blockage. The consequent transient NO surplus in an oxic niche could have been a key factor for a successful outcome of an early denitrifying prokaryote able to scavenge oxygen by NO/oxygen reductase or by an independent heterotrophic aerobic respiration pathway. In fact, NO surplus could result in toxicity causing 'the first disease' in oxygen-producing Cyanobacteria. We inspected in bacteria the presence of sequences similar to the NO-producing nitrite reductase nirS gene of Thermus thermophilus, an extreme thermophilic aerobe of the Thermus/Deinococcus group, which constitutes an ancient lineage related to Cyanobacteria. In silico analysis revealed the relationship between the presence of nirS genes and phytopathogenicity in Gram-negative bacteria.", "keywords": ["aerobic respiration", "0301 basic medicine", "denitrification", "Thermus thermophilus", "nitrite reductase NirS", "Horizontal gene transfer", "Denitrific", "Microbiology", "QR1-502", "Nitrite reductase NirS", "Ationerobic respiration", "03 medical and health sciences", "13. Climate action", "horizontal gene transfer"]}, "links": [{"href": "https://repositorio.ulisboa.pt/bitstream/10451/51022/1/Santana%20et%20al%202017.pdf"}, {"href": "https://doi.org/10451/51022"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Microbiology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10451/51022", "name": "item", "description": "10451/51022", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10451/51022"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-10-10T00:00:00Z"}}, {"id": "2B58CC2A-5CD7-4E72-8CAF-C852DF1B9055", "type": "Feature", "geometry": null, "properties": {"updated": "2020-02-14T00:00:00Z", "type": "Dataset", "language": "de", "title": "Boden\u00fcbersichtskarte 1:200.000 (B\u00dcK200) - CC5502 K\u00f6ln", "description": "Die Boden\u00fcbersichtskarte 1:200.000 (B\u00dcK200) wird von der Bundesanstalt f\u00fcr Geowissenschaften und Rohstoffe (BGR) in Zusammenarbeit mit den Staatlichen Geologischen Diensten (SGD) der Bundesl\u00e4nder im Blattschnitt der Topographischen \u00dcbersichtskarte 1:200.000 (T\u00dcK200) erarbeitet und in 55 einzelnen Kartenbl\u00e4ttern herausgegeben. Die digitale, blattschnittfreie Datenhaltung bildet eine detaillierte, bundesweit einheitliche und fl\u00e4chendeckende Informationsgrundlage f\u00fcr L\u00e4nder \u00fcbergreifende Aussagen zu Bodennutzung und Bodenschutz. \u00dcber den aktuellen Bearbeitungsstand des Kartenwerks informieren die Internetseiten der BGR zum Thema Boden. Die Verbreitung und Vergesellschaftung der B\u00f6den auf dem Gebiet dieses Kartenblattes wird anhand von 96 Legendeneinheiten (gegliedert nach Bodenregionen und Bodengro\u00dflandschaften) beschrieben. Jede Legendeneinheit beinhaltet bodensystematische Informationen (Bodensubtyp) und Informationen zum Bodenausgangsgestein sowohl f\u00fcr die Leitb\u00f6den als auch f\u00fcr deren Begleiter.", "formats": [{"name": "PDF"}], "keywords": ["ackerbauliches-ertragspotential", "boden", "bodenart", "bodenausgangsgestein", "bodenauslaugung", "bodenbearbeitung", "bodenbelastung", "bodenbildung", "bodenbiologie", "bodenchemie", "bodendegradation", "bodendekontamination", "bodeneigenschaften", "bodenerosion", "bodenfeuchtigkeit", "bodenform", "bodenfruchtbarkeit", "bodenfunktion", "bodengefu\u0308ge", "bodengesellschaft", "bodengestaltung", "bodengruppe", "bodengu\u0308te", "bodenhorizont", "bodeninformationssystem", "bodenkarte", "bodenluft", "bodenmechanik", "bodenmineralogie", "bodennutzbarkeit", "bodennutzung", "bodenphysikalische-eigenschaften", "bodenprofil", "bodenskelett", "bodensubstrat", "bodensystematik", "bodentyp", "bodenverbreitung", "de", "durchla\u0308ssigkeit", "effektive-durchwurzelungstiefe", "fachinformationssystem", "ko\u0308ln", "nordrhein-westfalen", "opendata", "rheinland-pfalz", "soil"], "contacts": [{"organization": "Bundesanstalt f\u00fcr Geowissenschaften und Rohstoffe (BGR)", "roles": ["creator"]}]}, "links": [{"href": "https://download.bgr.de/bgr/Boden/BUEK200/5502/jpg/buek200_5502.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/5502/pdf/buek200_5502.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/5502/png/buek200_5502.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/5502/shp/buek200_5502.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/5502/tiff/buek200_5502.zip"}, {"href": "http://data.europa.eu/88u/dataset/2b58cc2a-5cd7-4e72-8caf-c852df1b9055"}, {"rel": "self", "type": "application/geo+json", "title": "2B58CC2A-5CD7-4E72-8CAF-C852DF1B9055", "name": "item", "description": "2B58CC2A-5CD7-4E72-8CAF-C852DF1B9055", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2B58CC2A-5CD7-4E72-8CAF-C852DF1B9055"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "10.5281/zenodo.17618737", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:23:13Z", "type": "Dataset", "title": "The Namibian Soil Profile Database (NSPD2025): An updated, expanded and harmonised compilation of national soil data", "description": "Introduction The Namibian Soil Profile Database (NSPD2025) is a national compilation of 5,099 soil point observations and 13,425 horizons or layers, comprising site, profile, horizon, and analytical data from diverse legacy datasets. Data were verified, cleaned, and standardised to ensure compatibility with international systems.\u00a0 The spatial distribution of points shows denser sampling in agricultural and research areas, and sparser data in remote rural areas and the Namib Desert. The level of detail varies considerably, from basic site observations to full profile descriptions with analytical data. The dataset is provided as a Microsoft Excel file with four worksheets \u2013\u00a0Reg&Site, Hor_lab, Hor_field, and Metadata \u2013 and a QGIS project with the profile locations and basic geographical information. NSPD2025 is intended for use in soil classification, conventional and digital soil mapping, environmental modelling and land management in Namibia and beyond. Data Sources NSPD2025 integrates data from multiple legacy sources: National Soil Survey (1998\u20132000) and MAWRD-AEZ Campaigns (2001\u20132009) Systematic soil data collection in post-independence Namibia began with the National Soil Survey Phase I (NSS), conducted by the Ministry of Agriculture, Water and Rural Development[1] (MAWRD) in collaboration with the Cartographic Institute of Catalonia (ICC) from 1998 to 2000. It produced four soil maps and associated MS Access relational databases: NSD1000, NSD250, NSDkava, and NSDowa (ICC & MAWRD, 2000). Soil profiles were described according to the FAO Guidelines for Soil Profile Description (FAO, 1990). The data were reformatted into the Namibian Soil and Terrain Digital Database, NAMSOTER (Coetzee, 2001), based on the methodology of Van Engelen and Wen (1995), for inclusion in the Southern African SOTERSAF (FAO/ISRIC, 2003). The Agro-Ecological Zoning (AEZ) Programme of MAWRD/MAWF continued soil survey campaigns in under-sampled regions between 2000 and 2009. These datasets were consolidated and maintained within the Namibian Agricultural Resources Information System (NARIS). By 2009, NSS NARIS contained 2,155 soil records of varying completeness. All laboratory analyses for these profiles were performed by the ministerial Agriculture Laboratory (AgricLab) in Windhoek, which follows ISO-based quality management through standard operating procedures, internal standards, replicate analyses, and participation in the Agri-Laboratory Association of Southern Africa (AgriLASA) inter-laboratory proficiency testing. During the present update, additional analytical and field data were recovered from original NSS records and integrated into the NSPD2025. African Soil Microbial Genomics Project (AMP, AMP-NA, AMP-NDLS) The African Soil Microbial Genomics Project (Wild, 2016; Cowan et al., 2022) contributed 179 topsoil samples (0\u201320 cm) across three datasets. Eleven physicochemical soil properties were analysed by the University of Pretoria using AgriLASA (2004) protocols. BIOTA Project The Biodiversity Monitoring Transect Analysis in Africa (BIOTA) Programme established 11 long-term observatories across Namibia (Petersen, 2008; https://biota-africa.org/). It contributed 638 samples from 257 profiles (0\u201310 cm, 10\u201330 cm, 30\u201360 cm), analysed for texture, pH (CaCl\u2082), electrical conductivity, total nitrogen, and organic carbon by the University of Hamburg\u2019s Institute of Soil Science. GIZ Bush-SOC Project The Assessment of the Impact of Bush Encroachment and Bush Control on Soil Organic Carbon in Namibia project (Strohbach et al., 2024) contributed 162 topsoil samples (0\u201330 cm) analysed by the AgricLab for texture, pH (H\u2082O), bulk density, electrical conductivity, extractable cations, plant-available phosphorus, and organic carbon. LandPKS Project The Land Potential Knowledge System (LandPKS) (Herrick et al., 2016) developed a mobile app integrating user inputs with cloud-based geospatial data. Piloted in Namibia and Kenya, it provided 918 georeferenced observations, recording site, land use, vegetation cover, effective depth, stoniness, and field-estimated texture at seven standard depths (0\u20131 cm, 1\u201310 cm, 10\u201320 cm, 20\u201350 cm, 50\u201370 cm, 70\u2013100 cm, 100\u2013150 cm.). No laboratory data are included, and data quality varies due to contributions by non-specialists. Land Degradation Neutrality (LDN, LDN-Omusati) The Land Degradation Neutrality (LDN) Project (Nijbroek et al., 2018) contributed 319 topsoil (0\u201330 cm) and 277 subsoil (30\u2013100 cm) samples, analysed by the AgricLab for organic carbon, bulk density, and particle size. SASSCAL The Southern African Science Service Centre for Climate Change and Adaptive Land Management (SASSCAL) Phase I subproject Monitoring agricultural ecosystems with regards to climate change effects (De Bl\u00e9court et al., 2018) added 181 samples from 30 profiles across four sites. These were analysed for texture, bulk density, pH (H\u2082O and CaCl\u2082), electrical conductivity, total nitrogen, organic carbon, cation exchange capacity, and porosity by the University of Hamburg\u2019s Institute of Soil Science. Landscape and profile photographs are included. Soils4Africa (S4A) The EU Horizon 2020 Soils4Africa Project (https://www.soils4africa-h2020.eu/) contributed 139 site and descriptions, and laboratory data for 64 topsoil samples. Analyses were conducted by the South African Agricultural Research Council\u2019s Institute for Soil, Climate and Water (ARC-ISCW) (Paterson, 2021). Bulk density measurements were carried out by the AgricLab. Future Okavango (TFO) The Future Okavango Project (Pr\u00f6pper et al., 2015; https://www.future-okavango.org/) focused on knowledge-based land-use management in the Okavango catchment and contributed 484 samples from 141 profiles. These were analysed for texture, pH (H\u2082O and CaCl\u2082), bulk density, electrical conductivity, cation exchange capacity, total nitrogen, and organic carbon by the University of Hamburg and the University of Botswana\u2019s Okavango Research Institute. Landscape and profile photographs are included. Additional Contributions Smaller datasets were obtained from Simmonds & Forbes (1995), Buch (1990), Trippner (1998), Kempf (2000), and Coetzee (in Strohbach et al., 2019). Methods and Data Processing All datasets were collated in Microsoft Excel, using both automated procedures and visual inspection \u2013 based on subject knowledge \u2013 for quality-control of data. Records lacking georeferencing or containing irreparable errors were removed. Key steps included: Verification and correction of NSS and MAWF data against original field forms, and addition of previously undigitised information. Digital records could not be verified against the following missing field forms: AO, DOR, MAR, NDONGA, OMAH_A, OMAH_B, ONGO, OVI, SPERR, TSUM. Standardisation of classes, codes, and measurement units following FAO Guidelines for Soil Profile Description (FAO, 2006) and SOTER/ISRIC standards (Van Engelen & Dijkshoorn, 2013). Verification of profile identifications and horizon designations; assigning layer identifiers to non-pedogenic layers (e.g. LandPKS fixed depth intervals). Conversion of coordinates to decimal degrees and addition of the coordinate reference system. Confirmation of attribute definitions (e.g. organic matter vs organic carbon; minimum diameter of sand fraction 50 or 63 \u00b5m) and value ranges, some in combination with other attributes (e.g. the sum of particle size fractions being 100\u00b11%; horizon thickness corresponding to the difference between upper and lower horizon limits). Verification of conspicuous outliers. Addition of registration and environmental information. Where available, diagnostic elements (horizons, materials and properties) were used for classification according to the WRB (IUSS, 2015) Limitations: variable data completeness, differences in analytical methods, and unverified records for some missing field forms. However, the harmonisation process ensures national consistency and compatibility with global frameworks. Database Design The NSPD2025 dataset is provided as an MS Excel workbook, NSPD2025.xlsx, with four worksheets (see all fields below): Reg&Site contains profile registration information and site descriptions. Hor_field contains physical and morphological characteristics of the profiles and horizons. \u00a0Hor_lab contains laboratory measurements. Metadata The primary identifier of each point observation is the PRID (profile identification), with secondary identifiers for horizons/layers in the HONU field. The design embeds some redundancy: repetition of data in different formats (e.g. individual values, class ranges, class codes and descriptive text) and measuring units. For example, dates of profile description are recorded in YYYY-MM-DD, DD-Mon-YYYY, DD/MM/YYYY formats as well as in separate Year, Month and Day fields, while Organic Carbon is recorded in both % and g/kg units. This was done to facilitate integration with international soil information systems, and to accommodate users who are unfamiliar with the FAO profile description codes. The same rationale is behind the use of descriptive field names rather than codes. \u00a0 Fields of the Reg&Site table: PRID Degree Square Grazer Type Surface Sealing Hardness Desc Dataset Quarter Degree Square Human Influence Code Surface Cracks Width cm PRID Let Farm No Human Influence Desc Surface Cracks Width Code PRID Dig Farm Name Rock Outcrops Abundance/Cover Code Distance Between Surface Cracks (m) ALT PRID Location Rock Outcrops Cover % Salt (Surface Salinity) Date (YYYY-MM-DD) Diagnostic Horizon / Property / Material Rock Outcrops Cover Desc Bleached Sand Code Date (DD-Mon-YY) Present Weather Code Rock Outcrops - m between Bleached Sand % Date (DD/MM/YYYY) Present Weather Desc Rock Outcrops Type Bleached Sand Desc Year Past Weather Code Coarse Surface Fragments Cover Code Flooded >2 weeks/a Month Past Weather Desc Coarse Surface Fragments Cover % Major Landform Code (2nd level) Day Soil Temperature Regime Code Coarse Surface Fragments Cover Desc Major Landform Desc Coordinate Reference System Soil Temperature Regime Desc Coarse Surface Fragments Size Code Minor Landform desc Latitude Soil Moisture Regime Code Coarse Surface Fragments Size cm Position code Longitude Soil Moisture Regime Desc Coarse Surface Fragments Size Desc Position Desc Elevation m GPS Slope Gradient Class Surface Coarse Surface Fragments Type Vegetation Elevation m SRTM Slope Form Vert Erosion Type Code Land Cover Country ID Slope Form Hor Erosion Type Parent Material Data Origin Slope Gradient Measured % Erosion Area Affected Code Lithology Surveyor(s) Slope Gradient Desc Erosion Area Affected % Drainage Desc Status Gradient % (for landform) from SRTM Erosion Degree Code Drainage Code Profile Classification Original Slope % SRTM Erosion Degree Desc Geology Profile Classification Original Code Relief m/km Erosion Status Code Effective Depth Classification System Drainage density Erosion Status Desc Depth Class WRB2015 Reclassification RSG Present Land Use Code Surface Sealing Thickness Code Biological activity WRB2015 Reclassification Principal Qualifiers Present land Use Desc Surface Sealing Thickness mm Notes WRB2015 Reclassification Supplementary Qualifiers Past Land Use Code Surface Sealing Thickness Desc \u00a0 WRB Classification by S Nambambi Past Land Use Desc Surface Sealing Hardness Code \u00a0 \u00a0Fields of the Hor_lab table: PRID Electrical Conductivity \u00b5S/cm [2 soil:5 water suspension] (EL25) Gypsum % coSa % HONU Electrical Conductivity dS/m [2 soil:5 water suspension] (EL25) Gypsum g/kg (GYPS) meSa % Dataset Electrical Conductivity \u00b5S/cm [Saturated Paste Extract] (ELCO) Total Nitrogen mg/kg (TOTN) fiSa % Latitude Electrical Conductivity dS/m [Saturated Paste Extract] (ELCO) Total Nitrogen g/kg (TOTN) Kjeldahl vfiSa % Longitude Ca % [Exchangeable & Soluble; Mehlich #3, ICP-AES] Total Nitrogen % coSi % Laboratory Mg % [Exchangeable & Soluble; Mehlich #3, ICP-AES] Total Phosphorus mg/kg [Mehlich #3, ICP-AES] fiSi % Soil Lab ID K % [Exchangeable & Soluble; Mehlich #3, ICP-AES] Total P unknown method & unit EC (1:5) mS/m Representative Profile Na % [Exchangeable & Soluble; Mehlich #3, ICP-AES] Phosphorus [Olsen] mg/kg CaCO3 g/kg Hor thickness cm [contains >] Ca mg/kg [Extractable; 1M NH4acetate, AAS] (SOCA) P2O5 mg/kg [Olsen; P x 2.291] inorgC g/kg Upper Depth cm [contains >] Mg mg/kg [Extractable; 1M NH4acetate, AAS] (SOMG) Organic Carbon % LOI totC g/kg Lower Depth cm [contains >] K mg/kg [Extractable; 1M NH4acetate, AAS] (SOLK) Organic Carbon % WB orgC g/kg CNS analyser Hor thickness cm Na mg/kg [Extractable; 1M NH4acetate, AAS] (SONA) Organic Carbon g/kg WB exchH cmol(-)/kg Upper Depth cm Cl mg/kg [Extractable] (SOCL) Organic Matter % [OC*1.74] exchAl cmol(-)/kg Lower Depth cm Chloride % [Extractable] Mn mg/kg [Exchangeable & Soluble; Mehlich #3, ICP-AES] BaseSat % ? Horizon Code Short SSO4 ppm Fe mg/kg [Exchangeable & Soluble; Mehlich #3, ICP-AES] exchAcid cmol(+)/kg Dominant Sand Grade Code Sulfate % Al mg/kg [Exchangeable & Soluble; Mehlich #3, ICP-AES] totMo EPA 6010C?:2007 Dominant Sand Grade Desc Soluble carbonate meq/l (SCO3) Porosity Measured totCd mg/kg EPA 6010C:2007 Sand % < 53 \u00b5m (SDTO) Total Carbonate Equivalent g/kg (TCEQ) Fe_ox mg/g acid-oxalate extr totPb mg/kg EPA 6010C:2007 Silt % [2-53\u00b5m] (STPC) Carbonate Estimate % Al_ox mg/g acid-oxalate extr totV mg/kg EPA 6020A:2007 Clay % [< 2 \u00b5m] (CLPC) Exchangeable Calcium cmol(+)/kg (EXCA) Al mg/kg? totHg mg/kg EPA 6020A:2007 Silt + Clay % Exchangeable Magnesium cmol(+)/kg (EXMG) B mg/kg? totCr mg/kg EPA 6010C:2007 Texture Code (PSCL) Exchangeable Potassium cmol(+)/kg (EXCK) Cu mg/kg? totCo mg/kg EPA 6010C:2007 Texture Desc Exchangeable Sodium cmol(+)/kg (EXNA) Fe mg/kg? totNi mg/kg EPA 6010C:2007 Bulk Density kg/dm3 CEC Effective cmol(+)/kg [Sum of Exchangeable Bases] Mn mg/kg? totCu mg/kg EPA 6010C:2007 pH CaCl2 (PHCA) [2 soil:5 CaCl2] CEC Measured cmol(+)/kg P mg/kg? totZn mg/kg EPA 6010C:2007 pH water (PHAQ) Base Saturation Estimate % [from pHwater] S mg/kg? totAs mg/kg EPA 6020A:2007 pH water other lab Base Saturation % [CECeffective/CECmeasured] Zn mg/kg? totSb mg/kg EPA 6020A:2007 pH KCl (PHKC) \u00a0 \u00a0 \u00a0 \u00a0 Fields of the Hor_field table: PRID Coarse Fragments Abundance Desc Vertic Properties Coatings Form Desc HONU Coarse Fragments Abundance % properties for classification Coatings Location Code Dataset Coarse Fragments Size Code CLAF Coatings Location Desc Latitude Coarse Fragments Size Desc LOWER LEVEL UNITS Cementation /\u00a0 Compaction Nature Code Longitude Coarse Fragments Size mm REFERENCE GROUP Cementation / Compaction Nature Desc Hor thickness cm Course Fragments Shape Code CLAV Cementation /\u00a0 Compaction Continuity Code Upper Depth cm Coarse Fragments Shape Desc ALT PRID Cementation / Compaction Continuity Desc Lower Depth cm Coarse Fragments Degree of Weathering Consistence Dry Code Cementation /\u00a0 Compaction Fabric Code Diagnostic Horizon / Property / Material Code Coarse Fragments Type Consistence Dry Desc Cementation / Compaction Fabric Desc Diagnostic Horizon Drainage Code Consistence Moist Code Mineral Concentrations Nature Code Diagnostic Property Drainage Desc Consistence Moist Desc Mineral Concentrations Nature Desc Diagnostic Material Field Texture Code Consistence Wet - Stickiness Code Mineral Concentrations Abundance Code Qualifier Field Texture Desc Consistence Wet - Stickiness\u00a0 Desc Mineral Concentrations Abundance Desc Horizon Code Short Carbonate Estimate\u00a0 %.1 Consistence Wet - Plasticity Code Mineral Concentrations Abundance % Horizon Code Original Carbonate Reaction Code Consistence Wet - Plasticity Desc Mineral Concentrations Size Code Subordinate Horizon Code Carbonate Reaction Desc Porosity Class Code Mineral Concentrations Size Desc Lithology of R/C Secondary Carbonates Code Porosity Class Desc Mineral Concentrations Shape Code Horizon Transition Distinctness Code Secondary Carbonates Desc Porosity Class % Mineral Concentrations Shape Desc Horizon Transition Distinctness Desc Munsell_col_moist Voids Type Code Mineral Concentrations Hardness Code Horizon Transition Distinctness cm Hue_moist Voids Type Desc Mineral Concentrations Hardness Desc Horizon Transition Topography Code Value_moist Voids Size Class Roots Abundance Code Horizon Transition Topography Desc Chroma_moist Voids Size Desc Roots Abundance Desc Structure Type Code Colour Moist Desc [Munsell] Voids Size mm Roots Abundance No Structure Type Desc Munsell_col_dry Voids Abundance Class Roots Diameter Code Structure Strength Code Hue_dry Voids Abundance Desc Roots Diameter Desc Structure Strength Desc Value_dry Voids Abundance Number Roots Diameter mm Structure Size Code Chroma_dry Coatings Nature Code Biological Features Code Structure Size Desc Colour Dry Desc [Munsell] Coatings Nature Desc Biological Features Desc Coarse Fragments Abundance Code Mottling Desc Coatings Form Code Notes Supporting Files and Documents GIS_zipped: QGIS project file (Namibia_Soil_Profiles.qgz) & shape files (Namibia_Soil_Points, National boundary, Regional boundaries, Trunk Roads, Main Roads, District Roads, All settlements, Larger settlements, Rivers, Etosha National Park) Lab & Field Methods: AgricLab soil analysis methods; Soils4Africa lab & field observation guidelines; Africa Micobiome Project methods; FAO Guidelines for Soil Profile Description Images: Distribution map of soil point data; Datasets in the database Usage Notes The NSPD2025 dataset is intended for: \u00a0 \u00a0 \u00a0 \u00a0Conventional soil mapping and classification \u00a0 \u00a0 \u00a0 \u00a0Digital soil mapping (DSM) and predictive modelling \u00a0 \u00a0 \u00a0 \u00a0Land evaluation and agro-ecological zoning \u00a0 \u00a0 \u00a0 \u00a0Environmental and hydrological modelling \u00a0 \u00a0 \u00a0 \u00a0Educational and research purposes Users are requested to cite the dataset when using the data. Derived products should acknowledge the original sources. Acknowledgements The author gratefully acknowledges the Ministry of Agriculture, Water, Fisheries and Land Reform (MAWFLR), formerly MAWRD/MAWF/MAWLR, for providing data and documentation from the Agro-Ecological Zoning Programme. Appreciation is extended to Ms Eva Corral-Pazos-de-Provens (Universidad de Huelva, Spain) for designing and populating a prototype relational database, and to the numerous surveyors, laboratory analysts, and GIS specialists who contributed to the original fieldwork and data compilation efforts (see Metadata). References AgriLASA. (2004). AgriLASA soil handbook. Pretoria: Agri Laboratory Association of Southern Africa. Buch, M. W. (1990). Soils, soil erosion and vegetation in the Etosha National Park / Northern Namibia - Field & laboratory results of the investigations of the year 1989. Part I \u2013 field results; Part II \u2013 laboratory results. University of Regensburg (unpublished). Coetzee, M.E. (2001). NAMSOTER \u2013 A SOTER database for Namibia. Agro-Ecological Zoning Programme, MAWRD. Windhoek. Cowan, D., Lebre, P., Amon, C., Becker, R.W., Boga, H.I., Boulang\u00e9, A., Chiyaka, T.L., Coetzee, T., De Jager, P.C., Dikinya, O., Eckardt, F., Greve, M., Harris, M.A., Hopkins, D.W., Houngnandan, H.B., Houngnandan, P., Jordaan, K., Kaimoyo, E., Kambura, A.K., Kamgan-Nkuekam, G., Makhalanyane, T.P., Maggs-K\u00f6lling, G., Marais, E., Mondlane, H., Nghalipo, E., Olivier, B.W., Ortiz, M., Pertierra, L.R., Ramond, J.-B., Seely, M., Sithole-Niang, I., Valverde, A., Varliero, G., Vikram, S., Wall D.H., & Zeze, A. (2022). Biogeographical survey of soil microbiomes across sub-Saharan Africa: structure, drivers, and predicted climate-driven changes. Microbiome 10, 131. https://doi.org/10.1186/s40168-022-01297-w De Bl\u00e9court, M., R\u00f6der, A., Gr\u00f6ngr\u00f6ft, A., Baumann, S., Frantz, D. & Eschenbach, A. (2018) Deforestation for agricultural expansion in SW Zambia and NE Namibia and the impacts on soil fertility, soil organic carbon- and nutrient levels In: Climate change and adaptive land management in southern Africa \u2013 assessments, changes, challenges, and solutions (ed. by Revermann, R., Krewenka, K.M., Schmiedel, U., Olwoch, J.M., Helmschrot, J. & J\u00fcrgens, N.), pp. 242-250, Biodiversity & Ecology, 6, Klaus Hess Publishers, G\u00f6ttingen & Windhoek. https://doi.org/10.7809/b-e.00330 Dijkshoorn, J.A. (2003). SOTER database for Southern Africa (SOTERSAF ver. 1.0). Technical Report. Wageningen, the Netherlands: ISRIC (International Soil Reference and Information Centre). FAO. (1990). Guidelines for soil description (3rd ed.). Soil Resources, Management and Conservation Service, Land and Water Development Division, Food and Agriculture Organization of the United Nations. FAO/ISRIC. (2003). Soil and Terrain Database for Southern Africa. Land and Water Digital Media Series # 26. FAO, Rome. Herrick, J. E., Beh, A., Barrios, E., Bouvier, I., Coetzee, M., Dent, D., Elias, E., Hengl, T., Karl, J. W., Liniger, H., Matuszak, J., Neff, J. C., Ndungu, L. W., Obersteiner, M., Shepherd, K. D., Urama, K. C., Bosch, R., & Webb, N. P. (2016). The land\u2010potential knowledge system (LandPKS): mobile apps and collaboration for optimizing climate change investments. Ecosystem Health and Sustainability, 2(3).\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 https://doi.org/10.1002/ehs2.1209 ICC, MAWRD. (2000). Project to support the Agro-Ecological Zoning Programme (AEZ) in Namibia. Main report. Institut Cartogr\u00e0fic de Catalunya (ICC), & Ministry of Agriculture Water and Rural Development (MAWRD). Windhoek. IUSS (International Union of Soil Scientists) Working Group World Reference Base (WRB) (2015) World reference base for soil resources 2014. International soil classification system for naming soils and creating legends for soil maps. Update 2015. World Soil Resources Reports No 106. FAO, Rome. Kempf, J. (2000). Klimageomorphologische Studien in Zentral-Namibia: Ein Beitrag zur Morpho-, Pedo- und \u00d6kogenese. Dissertation, Univ. W\u00fcrzburg Nijbroek, R., Piikki, K., S\u00f6derstr\u00f6m, M., Kempen, B., Turner, K.G., Hengari, S., & Mutua, J. (2018). Soil organic carbon baselines for land degradation neutrality: Map accuracy and cost tradeoffs with respect to complexity in Otjozondjupa, Namibia. Sustainability, 2018(10), 1610. https://doi.org/10.3390/su10051610. Paterson, G. (2021). Guidance for the laboratory analysis - Soils4Africa Project. https://www.soils4africa-h2020.eu/serverspecific/soils4africa/images/Documents/GuidanceonLaboratoryAnalysis.pdf Petersen, A. (2008). Pedodiversity of southern African drylands. PhD dissertation. University of Hamburg, Germany. Pr\u00f6pper, M., Gr\u00f6ngr\u00f6ft, A., Finckh, M., Stirn, S., De Cauwer, V., Lages, F., Masamba, W., Murray-Hudson, M., Schmidt, L., Strohbach, B., J\u00fcrgens, N. (2015). The Future Okavango \u2013 Findings, Scenarios and Recommendations for Action. Research Project Final Synthesis Simmonds, S.E.B., Forbes Irving, T.J.M. (1995). Soils Assessment and Land Evaluation. Report prepared by Interconsult Namibia (Pty) Ltd for Africare, for Rural Water Supply Maintenance Project in Southern Kunene Region, Namibia. Strohbach, B.J., Adank, W.F., Coetzee, M.E., Jankowitz, W.J. (2019). A baseline description of the soils and vegetation of farm Klein Boesman, Khomas Region, Namibia. Namibian Journal of Environment, 3:37-55 Strohbach, B., Strydom, E., Nesongano, C., Zimmermann, I., De Cauwer, V., Coetzee, M. (2023). Final Report: Assessment of the Impact of Bush Encroachment and Bush Control on Climate Change Mitigation and Adaptation in Namibia. AHT GROUP GmbH & Perivoli Rangeland Institute, for Deutsche Gesellschaft f\u00fcr Internationale Zusammenarbeit. Windhoek, Namibia. Trippner, Christian. (1998). Semi-detailed soil survey and landscape ecological risk evaluation in the south-western and central-western parts of the Etosha National Park/N-Namibia. Part 2. Project report: DFG/GTZ Research Cooperation Project \u2018Environmental Change in the Etosha National Park/Northern Namibia\u2019 (Az. Bu 659/4-1+4-2). Van Engelen, V.W.P., & Dijkshoorn, J.A. (2013) Global and national soils and terrain databases (SOTER). Procedures manual, version 2.0. (eds.) Wageningen: ISRIC \u2013 World Soil Information. Van Engelen, V.W.P., & Wen, T.T. (eds.) (1995). Global and national soils and terrain digital databases \u2013 SOTER. Procedures manual. World Soil Resources Report 74. Rome: UNEP, ISSS, ISRIC, FAO. https://edepot.wur.nl/493802 Wild, S. (2016). Quest to map Africa\u2019s soil microbiome begins. Nature 539: 152. https://doi.org/10.1038/539152a \u00a0 Corresponding author: Marina E. Coetzee (mcoetzee@nust.na; marina.e.coetzee@gmail.com) Affiliations:\u00a0 Faculty of Engineering and the Built Environment, Namibia University of Science and Technology, Private Bag 13388, Windhoek, Namibia. Doctoral School of Environmental Sciences, Magyar Agr\u00e1r- \u00e9s \u00c9lettudom\u00e1nyi Egyetem (MATE; Hungarian University of Agriculture and Life Sciences), P\u00e1ter K\u00e1roly u. 1. H-2100 G\u00f6d\u00f6ll\u0151, Hungary. 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