{"type": "FeatureCollection", "features": [{"id": "10.15454/SVDTOU", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "Statistiques spatio-temporelles sur les propri\u00e9t\u00e9s agronomiques des sols agricoles en France issues de la Base de Donn\u00e9es d'Analyses de Terre (BDAT)", "description": "In France, farmers commission about 250,000 soil-testing analyses per year to assist them managing soil fertility. The number and diversity of origin of the samples make these analyses an interesting and original information source regarding cultivated topsoil variability. Moreover, these analyses relate to several parameters strongly influenced by human activity (macronutrient contents, pH...), for which existing cartographic information is not very relevant. Compiling the results of these analyses into a database makes it possible to re-use these data within both a national and temporal framework. A database compilation relating to data collected over the period 1990-2014 has been recently achieved. So far, commercial soil-testing laboratories approved by the Ministry of Agriculture have provided analytical results from more than 3,600,000 samples. After the initial quality control stage, analytical results from more than 1,900,000 samples were available in the database. The anonymity of the landholders seeking soil analyses is perfectly preserved, as the only identifying information stored is the location of the nearest administrative city to the sample site. We present in this dataset a set of statistical parameters of the spatial distributions for several agronomic soil properties. These statistical parameters are calculated for 4 different nested spatial entities (administrative areas: e.g. regions, departments, counties and agricultural areas) and for 5 time periods (1990-1994, 1995-1999, 2000-2004, 2005-2009, 2010-2014). Two kinds of agronomic soil properties are available: the first one correspond to the quantitative variables like the organic carbon content, and the second one corresponds to the qualitative variables like the texture class. For each spatial unit and temporal period, we calculated the following statistics sets: the first set is calculated for the quantitative variables and corresponds to the number of samples, the mean, the standard deviation and, the 2-,4-,10-quantiles; the second set is calculated for the qualitative variables and corresponds to the number of samples, the value of the dominant class, the number of samples of the dominant class, the second dominant class, the number of samples of the second dominant class.", "keywords": ["2. Zero hunger", "Earth and Environmental Science", "Soils and soil sciences", "Earth and Environmental Sciences", "Soil Sciences", "soil texture", "15. Life on land", "soil analysis", "Environmental Research", "Natural Sciences", "Geosciences"], "contacts": [{"organization": "Saby, Nicolas P.A., Lemercier, Blandine, Arrouays, Dominique, Walter, Christian, Gouny, Laetitia, Swidersky, Chlo\u00e9, Toutain, Beno\u00eet, Bispo, Antonio,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/SVDTOU"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/SVDTOU", "name": "item", "description": "10.15454/SVDTOU", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/SVDTOU"}, {"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": "10.1002/2014jg002635", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:13:58Z", "type": "Journal Article", "created": "2014-11-18", "title": "Woody Plant Encroachment Into Grasslands Leads To Accelerated Erosion Of Previously Stable Organic Carbon From Dryland Soils", "description": "Abstract<p>Drylands worldwide are experiencing rapid and extensive environmental change, concomitant with the encroachment of woody vegetation into grasslands. Woody encroachment leads to changes in both the structure and function of dryland ecosystems and has been shown to result in accelerated soil erosion and loss of soil nutrients. Covering 40% of the terrestrial land surface, dryland environments are of global importance, both as a habitat and a soil carbon store. Relationships between environmental change, soil erosion, and the carbon cycle are uncertain. There is a clear need to further our understanding of dryland vegetation change and impacts on carbon dynamics. Here two grass\uffe2\uff80\uff90to\uffe2\uff80\uff90woody ecotones that occur across large areas of the southwestern United States are investigated. This study takes a multidisciplinary approach, combining ecohydrological monitoring of structure and function and a dual\uffe2\uff80\uff90proxy biogeochemical tracing approach using the unique natural biochemical signatures of the vegetation. Results show that following woody encroachment, not only do these drylands lose significantly more soil and organic carbon via erosion but that this includes significant amounts of legacy organic carbon which would previously have been stable under grass cover. Results suggest that these dryland soils may not act as a stable organic carbon pool, following encroachment and that accelerated erosion of carbon, driven by vegetation change, has important implications for carbon dynamics.</p>", "keywords": ["2. Zero hunger", "soil erosion", "info:eu-repo/classification/ddc/550", "550", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "soil carbon pool", "13. Climate action", "biogeochemical tracing", "woody encroachment", "0401 agriculture", " forestry", " and fisheries", "Geosciences", " Multidisciplinary", "dryland vegetation change", "Environmental Sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1002/2014jg002635"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geophysical%20Research%3A%20Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/2014jg002635", "name": "item", "description": "10.1002/2014jg002635", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/2014jg002635"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-12-01T00:00:00Z"}}, {"id": "10.1007/s10533-015-0157-5", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:14:51Z", "type": "Journal Article", "created": "2015-11-14", "title": "Chronic Nitrogen Fertilization And Carbon Sequestration In Grassland Soils: Evidence Of A Microbial Enzyme Link", "description": "Chronic nitrogen (N) fertilization can greatly affect soil carbon (C) sequestration by altering biochemical interactions between plant detritus and soil microbes. In lignin-rich forest soils, chronic N additions tend to increase soil C content partly by decreasing the activity of lignin-degrading enzymes. In cellulose-rich grassland soils it is not clear whether cellulose-degrading enzymes are also inhibited by N additions and what consequences this might have on changes in soil C content. Here we address whether chronic N fertilization has affected (1) the C content of light versus heavier soil fractions, and (2) the activity of four extracellular enzymes including the C-acquiring enzyme \u03b2-1,4-glucosidase (BG; necessary for cellulose hydrolysis). We found that 19\u00a0years of chronic N-only addition to permanent grassland have significantly increased soil C sequestration in heavy but not in light soil density fractions, and this C accrual was associated with a significant increase (and not decrease) of BG activity. Chronic N fertilization may increase BG activity because greater N availability reduces root C:N ratios thus increasing microbial demand for C, which is met by C inputs from enhanced root C pools in N-only fertilized soils. However, BG activity and total root mass strongly decreased in high pH soils under the application of lime (i.e. CaCO3), which reduced the ability of these organo-mineral soils to gain more C per units of N added. Our study is the first to show a potential \u2018enzyme link\u2019 between (1) long-term additions of inorganic N to grassland soils, and (2) the greater C content of organo-mineral soil fractions. Our new hypothesis is that the \u2018enzyme link\u2019 occurs because (a) BG activity is stimulated by increased microbial C demand relative to N under chronic fertilization, and (b) increased BG activity causes more C from roots and from microbial metabolites to accumulate and stabilize into organo-mineral C fractions. We suggest that any combination of management practices that can influence the BG \u2018enzyme link\u2019 will have far reaching implications for long-term C sequestration in grassland soils.", "keywords": ["DECOMPOSITION", "DYNAMICS", "570", "\u03b2-1", "4-Glucosidase", "/dk/atira/pure/subjectarea/asjc/2300/2304", "NUTRIENT RELEASE", "Environmental Sciences & Ecology", "Root C:N ratio", "Extracellular enzyme activity", "LITTER DECAY", "FOREST ECOSYSTEMS", "0399 Other Chemical Sciences", "0402 Geochemistry", "Environmental Chemistry", "Geosciences", " Multidisciplinary", "beta-1", "4-Glucosidase", "Earth-Surface Processes", "Water Science and Technology", "2. Zero hunger", "Multidisciplinary", "Science & Technology", "/dk/atira/pure/subjectarea/asjc/1900/1904", "Geology", "sequestration", "Agronomy & Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "Soil carbon", "N DEPOSITION", "ORGANIC-MATTER", "PHOSPHORUS", "Fertilization", "Physical Sciences", "N ratio [Root C]", "0401 agriculture", " forestry", " and fisheries", "Soil carbon sequestration", "Liming", "TURNOVER", "Life Sciences & Biomedicine", "Geosciences", "/dk/atira/pure/subjectarea/asjc/2300/2312", "Environmental Sciences", "RESPONSES"]}, "links": [{"href": "https://doi.org/10.1007/s10533-015-0157-5"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10533-015-0157-5", "name": "item", "description": "10.1007/s10533-015-0157-5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10533-015-0157-5"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-11-14T00:00:00Z"}}, {"id": "10.1007/s10533-004-7112-1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:14:49Z", "type": "Journal Article", "created": "2005-11-04", "title": "Extracellular Enzyme Activities And Soil Organic Matter Dynamics For Northern Hardwood Forests Receiving Simulated Nitrogen Deposition", "description": "Anthropogenic nitrogen enrichment alters decomposition processes that control the flux of carbon (C) and nitrogen (N) from soil organic matter (SOM) pools. To link N-driven changes in SOM to microbial responses, we measured the potential activity of several extracellular enzymes involved in SOM degradation at nine experimental sites located in northern Michigan. Each site has three treatment plots (ambient, +30 and +80 kg N ha 1 y 1 ). Litter and soil samples were collected on five dates over the third growing season of N treatment. Phenol oxidase, peroxidase and cellobiohydrolase activities showed significant responses to N additions. In the Acer saccha- rum-Tilia americana ecosystem, oxidative activity was 38% higher in the litter horizon of high N treatment plots, relative to ambient plots, while oxidative activity in mineral soil showed little change. In the A. saccharum-Quercus rubra and Q. velutina-Q. alba ecosystems, oxidative activities declined in both litter (15 and 23%, respectively) and soil (29 and 38%, respectively) in response to high N treatment while cellobiohydrolase activity increased (6 and 39% for litter, 29 and 18% for soil, respectively). Over 3 years, SOM content in the high N plots has decreased in the Acer-Tilia ecosystem and increased in the two Quercus ecosystems, relative to ambient plots. For all three ecosystems, differences in SOM content in relation to N treatment were directly related (r 2 = 0.92) to an enzyme activity factor that included both oxidative and hydrolytic enzyme responses.", "keywords": ["Soil Science & Conservation", "Decomposition", "Science", "Ecology and Evolutionary Biology", "Terrestrial Pollution", "Natural Resources and Environment", "Molecular", "04 agricultural and veterinary sciences", "15. Life on land", "Biochemistry", "Phenol Oxidase", "Geochemistry", "Cellulase", "Soil Organic Matter", "Health Sciences", "0401 agriculture", " forestry", " and fisheries", "Nitrogen Deposition", "Cellular and Developmental Biology", "General", "Extracellular Enzyme Activity", "Geosciences"]}, "links": [{"href": "https://doi.org/10.1007/s10533-004-7112-1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10533-004-7112-1", "name": "item", "description": "10.1007/s10533-004-7112-1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10533-004-7112-1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2005-08-01T00:00:00Z"}}, {"id": "10.1007/s10533-009-9381-1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:14:50Z", "type": "Journal Article", "created": "2009-10-13", "title": "Plant-Soil Interactions And Acclimation To Temperature Of Microbial-Mediated Soil Respiration May Affect Predictions Of Soil Co2 Efflux", "description": "Open AccessPeer reviewed", "keywords": ["Life Sciences", " general", "Carbon cycle modeling", "2. Zero hunger", "Ecosystem ecology", "Life Sciences", "Soil respiration", "04 agricultural and veterinary sciences", "15. Life on land", "Biogeosciences", "Ecosystems", "6. Clean water", "general", "13. Climate action", "Earth Sciences", "Environmental Chemistry", "Climate change", "0401 agriculture", " forestry", " and fisheries", "Earth-Surface Processes", "Water Science and Technology"]}, "links": [{"href": "https://escholarship.org/content/qt74h8k7gh/qt74h8k7gh.pdf"}, {"href": "https://doi.org/10.1007/s10533-009-9381-1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10533-009-9381-1", "name": "item", "description": "10.1007/s10533-009-9381-1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10533-009-9381-1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-10-14T00:00:00Z"}}, {"id": "10.1007/s10533-010-9496-4", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:14:50Z", "type": "Journal Article", "created": "2010-07-11", "title": "Effects Of Nitrogen Additions On Above- And Belowground Carbon Dynamics In Two Tropical Forests", "description": "Anthropogenic nitrogen (N) deposition is increasing rapidly in tropical regions, adding N to ecosystems that often have high background N availability. Tropical forests play an important role in the global carbon (C) cycle, yet the effects of N deposition on C cycling in these ecosystems are poorly understood. We used a field N-fertilization experiment in lower and upper elevation tropical rain forests in Puerto Rico to explore the responses of above- and belowground C pools to N addition. As expected, tree stem growth and litterfall productivity did not respond to N fertilization in either of these N-rich forests, indicating a lack of N limitation to net primary productivity (NPP). In contrast, soil C concentrations increased significantly with N fertilization in both forests, leading to larger C stocks in fertilized plots. However, different soil C pools responded to N fertilization differently. Labile (low density) soil C fractions and live fine roots declined with fertilization, while mineral-associated soil C increased in both forests. Decreased soil CO2 fluxes in fertilized plots were correlated with smaller labile soil C pools in the lower elevation forest (R2\u00a0=\u00a00.65, p\u00a0<\u00a00.05), and with lower live fine root biomass in the upper elevation forest (R2\u00a0=\u00a00.90, p\u00a0<\u00a00.05). Our results indicate that soil C storage is sensitive to N deposition in tropical forests, even where plant productivity is not N-limited. The mineral-associated soil C pool has the potential to respond relatively quickly to N additions, and can drive increases in bulk soil C stocks in tropical forests.", "keywords": ["58 Geosciences Aboveground Biomass", "15. Life on land", "Roots", "Aboveground Biomass", "Environmental sciences", "Soil Respiration", "Dissolved Organic Carbon", "Soil Density Fractions", "Environmental Chemistry", "Nutrient Limitation", "54 Environmental Sciences", "Geosciences", "Earth-Surface Processes", "Water Science and Technology"]}, "links": [{"href": "https://escholarship.org/content/qt7ww245cp/qt7ww245cp.pdf"}, {"href": "https://doi.org/10.1007/s10533-010-9496-4"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10533-010-9496-4", "name": "item", "description": "10.1007/s10533-010-9496-4", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10533-010-9496-4"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2010-07-11T00:00:00Z"}}, {"id": "10.1007/s10533-012-9808-y", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:14:51Z", "type": "Journal Article", "created": "2012-10-31", "title": "Earthworms, Litter And Soil Carbon In A Northern Hardwood Forest", "description": "The important role of soil carbon (C) in the global C cycle has stimulated interest in better understanding the mechanisms regulating soil C storage and its stabilization. Exotic earthworm invasion of northern forest soils in North America can affect soil C pools, and we examined their effects on these mechanisms by adding 13C labeled leaf litter to adjacent northern hardwood forests with and without earthworms. Two types of labeled litter were produced, one with the 13C more concentrated in structural (S) components and the other in non-structural (NS) components, to evaluate the role of biochemical differences in soil C stabilization. Earthworm invasions have reduced soil C storage in the upper 20\u00a0cm of the soil profile by 37\u00a0%, mostly by eliminating surface organic horizons. Despite rapid mixing of litter into mineral soil and its incorporation into aggregates, mineral soil C has not increased in the presence of earthworms. Incorporation of litter C into soil and microbial biomass was not affected by biochemical differences between S versus NS labeled litter although NS litter C was assimilated more readily into earthworm biomass and S litter C into fungal hyphae. Apparently, the net effect of earthworm mixing of litter and forest floor C into mineral soil, plus stabilization of that C in aggregates, is counterbalanced by earthworm bioturbation and possible priming effects. Our results support recent arguments that biochemical recalcitrance is not a major contributor to the stabilization of soil C.", "keywords": ["IMPACTS", "Decomposition", "STABILIZATION", "Multidisciplinary", "biomass", "MICROBIAL BIOMASS", "INVASION", "Microbial biomass", "TEMPERATE", "04 agricultural and veterinary sciences", "SEQUESTRATION", "15. Life on land", "Fungal hyphae", "Aggregation", "Microbial", "Sugar maple", "FORESTS", "DISSOLVED ORGANIC-MATTER", "PATTERNS", "0401 agriculture", " forestry", " and fisheries", "USA", "Environmental Sciences", "Geosciences", "Isotope labeling", "CENTRAL NEW-YORK"]}, "links": [{"href": "https://doi.org/10.1007/s10533-012-9808-y"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10533-012-9808-y", "name": "item", "description": "10.1007/s10533-012-9808-y", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10533-012-9808-y"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-11-01T00:00:00Z"}}, {"id": "10.1016/j.cosust.2018.11.002", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:16:25Z", "type": "Journal Article", "created": "2018-11-28", "title": "Models for assessing engineered nanomaterial fate and behaviour in the aquatic environment", "description": "Engineered nanomaterials (ENMs, material containing<br/>particles with at least one dimension less than 100 nm) are<br/>present in a range of consumer products and could be<br/>released into the environment from these products during<br/>their production, use or end-of-life. The high surface to<br/>volume ratio of nanomaterials imparts a high reactivity,<br/>which is of interest for novel applications but may raise<br/>concern for the environment. In the absence of<br/>measurement methods, there is a need for modelling to<br/>assess likely concentrations and fate arising from current<br/>and future releases. To assess the capability that exists to<br/>do such modelling, progress in modelling ENM fate since<br/>2011 is reviewed. ENM-specific processes represented in<br/>models are mainly limited to aggregation and, in some<br/>instances, dissolution. Transformation processes (e.g.<br/>sulphidation), the role of the manufactured coatings,<br/>particle size distribution and particle form and state are still<br/>usually excluded. Progress is also being made in modelling<br/>ENMs at larger scales. Currently, models can give a<br/>reasonable assessment of the fate of ENMs in the<br/>environment, but a full understanding will likely require<br/>fuller inclusion of these ENM-specific processes.", "keywords": ["RELEASE", "transformation", "aggregation", "Urbanisation", "METALLIC NANOPARTICLES", "QUANTIFICATION", "SILVER NANOPARTICLES", "01 natural sciences", "6. Clean water", "modelling", "engineered nanomaterials", "NanoFASE", "TIO2 NANOPARTICLES", "Life Science", "WATER", "NANO-SILVER", "EXPOSURE", "RISK-ASSESSMENT", "105906 Environmental geosciences", "ZINC-OXIDE", "aquatic environment", "105906 Umweltgeowissenschaften", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.cosust.2018.11.002"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Current%20Opinion%20in%20Environmental%20Sustainability", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.cosust.2018.11.002", "name": "item", "description": "10.1016/j.cosust.2018.11.002", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.cosust.2018.11.002"}, {"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.catena.2015.10.018", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:16:19Z", "type": "Journal Article", "created": "2015-10-26", "title": "Grazing Exclusion Significantly Improves Grassland Ecosystem C And N Pools In A Desert Steppe Of Northwest China", "description": "Abstract   Grazing exclusion is often implemented as an effective management practice to increase the sustainability of grassland ecosystems. However, it remains unclear if grazing exclusion can improve ecosystem services related to carbon (C) and nitrogen (N) sequestration in grassland ecosystems. We investigated the effects of 11\u00a0years of grazing exclusion on plant biomass and diversity, soil properties (pH, soil water content (SWC), bulk density (BD), soil organic carbon (SOC), total nitrogen (TN), and C/N ratio), and the C and N stocks of plants and soils in a desert grassland of Northwest China. Grazing exclusion improved plant aboveground biomass and diversity, as well as SWC, SOC, and TN contents, but lowered the belowground biomass, root/shoot ratio, pH, and BD. Moreover, grazing exclusion strongly influenced the C and N stocks of the ecosystem, and the annual mean ecosystem C and N sequestration rates were 0.47 and 0.09\u00a0Mg\u00a0ha \u2212\u00a01 \u00a0yr \u2212\u00a01 , respectively, over 11\u00a0years of grazing exclusion. Soil C stocks were most dynamic in the top 30\u00a0cm of the soil, and N stocks mainly changed in the top 20\u00a0cm after grazing exclusion. Our results indicated that grazing exclusion is an effective measurement on improving the ecosystem C and N pools in desert steppe of Northwest China.", "keywords": ["SOIL ORGANIC C", "0106 biological sciences", "Carbon Sequestration", "550", "MICROBIAL-COMMUNITY", "SPATIAL VARIABILITY", "PHYSICAL-PROPERTIES", "Soil Science", "01 natural sciences", "Soil Prosperities", "CENTRAL ARGENTINA", "CARBON STORAGE", "PLANT-COMMUNITIES", "Vegetation Characteristics", "580", "2. Zero hunger", "Science & Technology", "Multidisciplinary", "PRODUCTIVITY", "Nitrogen Sequestration", "Geology", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "INNER-MONGOLIA", "Grazing", "13. Climate action", "Physical Sciences", "Water Resources", "0401 agriculture", " forestry", " and fisheries", "Fencing", "LOESS PLATEAU CHINA", "Life Sciences & Biomedicine", "Geosciences"]}, "links": [{"href": "https://doi.org/10.1016/j.catena.2015.10.018"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/CATENA", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.catena.2015.10.018", "name": "item", "description": "10.1016/j.catena.2015.10.018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.catena.2015.10.018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-02-01T00:00:00Z"}}, {"id": "10.1016/j.geomorph.2020.107579", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:17:06Z", "type": "Journal Article", "created": "2021-01-20", "title": "Ending the Cinderella status of terraces and lynchets in Europe: The geomorphology of agricultural terraces and implications for ecosystem services and climate adaptation", "description": "Terraces and lynchets are ubiquitous worldwide and can provide increasingly important Ecosystem Services (ESs), which may be able to mitigate aspects of climate change. They are also a major cause of non-linearity between climate and erosion rates in agricultural systems as noted from alluvial and colluvial studies. New research in the \u2018critical zone\u2019 has shown that we must now treat soil production as an ecologically sensitive variable with implications for soil carbon sequestration. In this review and synthesis paper we present a modified classification of agricultural terraces, review the theoretical background of both terraces and lynchets, and show how new techniques are transforming the study of these widespread and often ancient anthropogenic landforms. The problems of dating terraces and the time-consuming nature of costly surveys has held back the geomorphological and geoarchaeological study of terraces until now. The suite of techniques now available, and reviewed here,includes Digital Elevation Models (DEMs) - Structure from Motion (SfM) photogrammetry, Airborne and Terrestrial Laser Scanning (ALS-TLS); optically stimulated luminescence (OSL and pOSL), portable x-ray fluorescence (pXRF), Fourier-transform infra-red analysis (FTIR), phytoliths from plants, and potentially environmental DNA. Three process-related geomorphological questions arise from using this suite of methods; a) can they provide both a chronology of formation and use history, b) can we identify the sources of all the soil components? c) can terrace soil formation and ecosystem services be modelled at the slope to catchment scale? The answers to these questions can also inform the management of the large areas of abandoned and under-used terraces that are resulting from both the economics of farming and rural population changes. Where possible, examples are drawn from a recently started ERC project (TerrACE; ERC-2018-2023; https://www.terrace.no/) that is working at over 15 sites in Europe ranging from Norway to Greece.", "keywords": ["Agricultural soils; Erosion; Geomorphic history; Soil formation", "2. Zero hunger", "VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Geografiske informasjonssystemer: 555", "VDP::Mathematics and natural science: 400::Geosciences: 450", "550", "VDP::Technology: 500::Information and communication technology: 550::Geographical information systems: 555", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "Geomorphic history", "13. Climate action", "Erosion;", "VDP::Matematikk og Naturvitenskap: 400::Geofag: 450", "Soil formation;", "0401 agriculture", " forestry", " and fisheries", "Agricultural soils;", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://eprints.whiterose.ac.uk/170714/1/1_s2.0_S0169555X20305523_main.pdf"}, {"href": "https://www.research.unipd.it/bitstream/11577/3390095/1/Brown%20et%20al.%20%282021%29.pdf"}, {"href": "https://eprints.soton.ac.uk/454976/1/1_s2.0_S0169555X20305523_main_1_.pdf"}, {"href": "https://eprints.soton.ac.uk/454976/2/Brown_A.G._et_al._2021_Ending_the_Cinderella_status_of_terraces_and_lynchets_in_Europe._The_geomorphology_of_agricultural_terraces_and_implications_for_ecosystem_services_and_climatic_adaptation.pdf"}, {"href": "https://doi.org/10.1016/j.geomorph.2020.107579"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geomorphology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geomorph.2020.107579", "name": "item", "description": "10.1016/j.geomorph.2020.107579", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geomorph.2020.107579"}, {"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": "10.57745/KAMGHR", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:15Z", "type": "Dataset", "title": "The effects of earthworm species on organic matter transformations and soil microbial communities are only partially related to their bioturbation activity", "description": "This dataset was acquired to investigate the effects of earthworm species on soil bioturbation, biogeochemical transformations of soil organic matter, and soil microbial communities under controlled conditions. Six earthworm species (Lumbricus terrestris, Allolobophora chlorotica, Octolasion cyaneum, Octodrilus complanatus, Aporrectodea caliginosa meridionalis and Microscolex dubius) were incubated in soil cores with soil and alfalfa litter for 6 weeks, at 16 \u00b0C. The soil is a silty loam sampled in an agricultural plot in Estr\u00e9es-Mons, northern France. Two series of soil cores were performed, including controls (3 with litter and without earthworm, 3 without litter and without earthworm per series). At the end of the incubation period, the entire cores were scanned using a medical scanner for bioturbation measurements. All images were processed the same way to compute the number of macropores (set of connected voxels), the volume of burrows (sum of all the macropore volume), the vertical barycentre of the burrow system (the centre of mass of the burrow system when only the vertical dimension is taken into account), the diameter (assessed as the median of the diameter of all vertical pores with a circularity 0.8) and burrow system continuity (number of burrows whose vertical length was higher than 30% of the depth of the soil core). In cores with earthworms, the soil was sampled from three different compartments: surface casts, the drilosphere (i.e., soil surrounding burrows, up to 4 mm from the burrow walls), and surrounding bulk soil. In control cores without earthworms, the soil was sampled from three different depths: surface (0-2 cm from the soil surface), middle (8-12 cm) and bottom (18-22 cm). Biogeochemical measurements, performed on the different soil compartments, included : soil humidity, dissolved organic carbon (C), total C, total nitrogen (N), mineral N, organic N contents, C to N ratio, nitrate (NO3-) and ammonium (NH4+) contents at the time if sampling and after 8 days in incubation at 20\u00b0C, carbon dioxide (CO2) fluxes measured with Isotope-ratio mass spectrometry (IRMS) method after 46, 91, 136, and 181 hours of microcosm incubation at 20\u00b0C, CO2 fluxes measured with sodium hydroxide (NaOH) traps after 46, 94, 142, and 190 hours of microcosm incubation at 20\u00b0C. Microbiological measurements, performed on the different soil compartments, included: total DNA concentration in soil, 16S rRNA copy number, 18S rRNA copy number, bacterial operational taxonomic unit (OUT) composition, and Shannon index, calculated on bacterial OTU. This work was supported by the the AgroEcoSystem Division of INRAE through the funding of the \u201cGloWorms\u201d project.", "keywords": ["Earth and Environmental Science", "Decomposition", "Agricultural Sciences", "Nitrogen", "Life Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture", "Carbon", "Soil", "Earth and Environmental Sciences", "Earthworm", "Agriculture", " Forestry", " Horticulture", " Aquaculture and Veterinary Medicine", "mineralization", "Environmental Research", "Natural Sciences", "Agriculture", " Forestry", " Horticulture", "Geosciences"], "contacts": [{"organization": "Lashermes, Gwena\u00eblle, Vion-Guibert, Luna, Capowiez, Yvan, Alavoine, Gonzague, Delfosse, Olivier, Hedde, Micka\u00ebl, Marsden, Claire,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.57745/KAMGHR"}, {"rel": "self", "type": "application/geo+json", "title": "10.57745/KAMGHR", "name": "item", "description": "10.57745/KAMGHR", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.57745/KAMGHR"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.1016/j.scitotenv.2018.09.017", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:17:30Z", "type": "Journal Article", "created": "2018-09-04", "title": "Determination of nanoparticle heteroaggregation attachment efficiencies and rates in presence of natural organic matter monomers. Monte Carlo modelling", "description": "Understanding the transformation and transport of manufactured nanoparticles (NPs) in aquatic systems remains an important issue due to their potential hazard. Once released in aquatic systems, NPs will interact with natural compounds such as suspended inorganic particles and/or natural organic matter (NOM) and heteroaggregation will control their ultimate fate. Unfortunately, systematic experimental methods to study heteroaggregation are not straightforward and still scarce. In addition, the description of heteroaggregation rate constants and attachment efficiencies is still a matter of debate since no clear definition exists. In this work, an original cluster-cluster Monte Carlo model is developed to get an insight into heteroaggregation process descriptions. A two-component system composed of NPs and NOM fulvic acid monomers is investigated by considering several water models to cover a range of (relevant) conditions from fresh to marine waters. For that purpose, homo- and hetero- individual attachment efficiencies between NPs and NOM units are adjusted (NP-NP, NOM-NOM and NP-NOM). The influence of NP/NOM ratio, NOM-NOM homoaggregation versus heteroaggregation, and surface coating effects is studied systematically. From a quantitative point of view, aggregation rate constants as well as attachment efficiencies are calculated as a function of physical time so as to characterize the individual influence of each parameter and to allow future comparison with experimental data. Heteroaggregation processes and global attachment efficiencies corresponding to several mechanisms and depending on the evolution of heteroaggregate structures all along the simulations are defined. The calculation of attachment efficiency values is found dependent on NP/NOM concentration ratios via coating effects, by the initial set of elementary attachment efficiencies and influence of homoaggregation. Marine water represents a specific case of aggregation where all particle contacts are effective. On the other hand, in 'ultrapure' and 'fresh waters', a competition between homo- and heteroaggregation occurs depending on the initial attachment efficiencies therefore indicating that a subtle change in the NP surface properties as well as in the water chemistry have a significant impact on heteroaggregation processes.", "keywords": ["SDG 14 \u2013 Leben unter Wasser", "FATE", "0211 other engineering and technologies", "02 engineering and technology", "SILVER NANOPARTICLES", "01 natural sciences", "Nanoparticle", "ddc:550", "105906 Environmental geosciences", "SDG 14 - Life Below Water", "Monte Carlo simulation", "OXIDE NANOPARTICLES", "0105 earth and related environmental sciences", "ddc:333.7-333.9", "Natural organic matter", "NANOMATERIALS", "info:eu-repo/classification/ddc/333.7-333.9", "info:eu-repo/classification/ddc/550", "Surface coating", "ENGINEERED NANOPARTICLES", "Attachment efficiency", "Nanopartide", "TITANIUM-DIOXIDE NANOPARTICLES", "TRANSPORT", "AQUATIC ENVIRONMENT", "TIO2 NANOPARTICLES", "Natural Organic Matter", "13. Climate action", "Heteroaggregation", "105906 Umweltgeowissenschaften", "DIFFUSION-LIMITED AGGREGATION"]}, "links": [{"href": "https://doi.org/10.1016/j.scitotenv.2018.09.017"}, {"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.2018.09.017", "name": "item", "description": "10.1016/j.scitotenv.2018.09.017", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.scitotenv.2018.09.017"}, {"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": "10.1038/s41561-019-0318-6", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:18:41Z", "type": "Journal Article", "created": "2019-03-11", "title": "Drought impacts on terrestrial primary production underestimated by satellite monitoring", "description": "Satellite retrievals of information about the Earth's surface are widely used to monitor global terrestrial photosynthesis and primary production and to examine the ecological impacts of droughts. Methods for estimating photosynthesis from space commonly combine information on vegetation greenness, incoming radiation, temperature and atmospheric demand for water (vapour-pressure deficit), but do not account for the direct effects of low soil moisture. They instead rely on vapour-pressure deficit as a proxy for dryness, despite widespread evidence that soil moisture deficits have a direct impact on vegetation, independent of vapour-pressure deficit. Here, we use a globally distributed measurement network to assess the effect of soil moisture on photosynthesis, and identify a common bias in an ensemble of satellite-based estimates of photosynthesis that is governed by the magnitude of soil moisture effects on photosynthetic light-use efficiency. We develop methods to account for the influence of soil moisture and estimate that soil moisture effects reduce global annual photosynthesis by ~15%, increase interannual variability by more than 100% across 25% of the global vegetated land surface, and amplify the impacts of extreme events on primary production. These results demonstrate the importance of soil moisture effects for monitoring carbon-cycle variability and drought impacts on vegetation productivity from space.", "keywords": ["550", "0207 environmental engineering", "02 engineering and technology", "01 natural sciences", "Physical Geography and Environmental Geoscience", "USE EFFICIENCY", "NET PRIMARY PRODUCTION", "Meteorology & Atmospheric Sciences", "Geosciences", " Multidisciplinary", "WATER-STRESS", "Physical geography and environmental geoscience", "0105 earth and related environmental sciences", "2. Zero hunger", "Multidisciplinary", "Science & Technology", "CLIMATE-CHANGE", "Ecology", "PHOTOSYNTHESIS", "Geology", "GROSS PRIMARY PRODUCTION", "Carbon cycle", "Biogeochemistry", "15. Life on land", "FOREST", "6. Clean water", "ATMOSPHERIC DEMAND", "13. Climate action", "Physical Sciences", "Earth Sciences", "RADIATION", "CARBON UPTAKE", "Geosciences"]}, "links": [{"href": "http://www.nature.com/articles/s41561-019-0318-6.pdf"}, {"href": "https://escholarship.org/content/qt2hr7r7gk/qt2hr7r7gk.pdf"}, {"href": "https://doi.org/10.1038/s41561-019-0318-6"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Geoscience", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41561-019-0318-6", "name": "item", "description": "10.1038/s41561-019-0318-6", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41561-019-0318-6"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-03-11T00:00:00Z"}}, {"id": "10.1016/j.uclim.2016.05.001", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:18:06Z", "type": "Journal Article", "created": "2016-09-22", "title": "Surface Urban Energy and Water Balance Scheme (SUEWS): Development and evaluation at two UK sites", "description": "AbstractThe Surface Urban Energy and Water Balance Scheme (SUEWS) is evaluated at two locations in the UK: a dense urban site in the centre of London and a residential suburban site in Swindon. Eddy covariance observations of the turbulent fluxes are used to assess model performance over a two-year period (2011\u22122013). The distinct characteristics of the sites mean their surface energy exchanges differ considerably. The model suggests the largest differences can be attributed to surface cover (notably the proportion of vegetated versus impervious area) and the additional energy supplied by human activities. SUEWS performs better in summer than winter, and better at the suburban site than the dense urban site. One reason for this is the bias towards suburban summer field campaigns in observational data used to parameterise this (and other) model(s). The suitability of model parameters (such as albedo, energy use and water use) for the UK sites is considered and, where appropriate, alternative values are suggested. An alternative parameterisation for the surface conductance is implemented, which permits greater soil moisture deficits before evaporation is restricted at non-irrigated sites. Accounting for seasonal variation in the estimation of storage heat flux is necessary to obtain realistic wintertime fluxes.", "keywords": ["2. Zero hunger", "SUEWS", "UK cities", "Urban water balance", "13. Climate action", "Evaporation", "11. Sustainability", "Evaporation", " SUEWS", " UK cities", " Urban energy balance", " Urban water balance", "15. Life on land", "Urban energy balance", "Geosciences"]}, "links": [{"href": "https://centaur.reading.ac.uk/65599/25/1-s2.0-S2212095516300256-main%20%281%29.pdf"}, {"href": "https://doi.org/10.1016/j.uclim.2016.05.001"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Urban%20Climate", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.uclim.2016.05.001", "name": "item", "description": "10.1016/j.uclim.2016.05.001", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.uclim.2016.05.001"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-12-01T00:00:00Z"}}, {"id": "10.1021/acs.est.7b02944", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:18:15Z", "type": "Journal Article", "created": "2017-10-11", "title": "Novel Multi-isotope Tracer Approach To Test ZnO Nanoparticle and Soluble Zn Bioavailability in Joint Soil Exposures", "description": "Here we use two enriched stable isotopes, 68Znen and 64Znen (>99%), to prepare 68ZnO nanoparticles (NPs) and soluble 64ZnCl2. The standard LUFA 2.2 test soil was dosed with 68ZnO NPs and soluble 64ZnCl2 to 5 mg kg-1 each, plus between 0 and 95 mg kg-1 of soluble ZnCl2 with a natural isotope composition. After 0, 1, 3, 6, and 12 months of soil incubation, earthworms (Eisenia andrei) were introduced for 72 h exposures. Analyses of soils, pore waters, and earthworm tissues using multiple collector inductively coupled plasma mass spectrometry allowed the simultaneous measurement of the diagnostic 68Zn/66Zn, 64Zn/66Zn, and 68Zn/64Zn ratios, from which the three different isotopic forms of Zn were quantified. Eisenia andrei was able to regulate Zn body concentrations with no difference observed between the different total dosing concentrations. The accumulation of labeled Zn by the earthworms showed a direct relationship with the proportion of labeled to total Zn in the pore water, which increased with longer soil incubation times and decreasing soil pH. The 68Znen/64Znen ratios determined for earthworms (1.09 \u00b1 0.04), soils (1.09 \u00b1 0.02), and pore waters (1.08 \u00b1 0.02) indicate indistinguishable environmental distribution and uptake of the Zn forms, most likely due to rapid dissolution of the ZnO NPs.", "keywords": ["104002 Analytische Chemie", "550", "TRANSFORMATIONS", "FATE", "0211 other engineering and technologies", "Biological Availability", "02 engineering and technology", "01 natural sciences", "Soil", "104002 Analytical chemistry", "104023 Umweltchemie", "ENGINEERED NANOMATERIALS", "MD Multidisciplinary", "Animals", "Soil Pollutants", "105906 Environmental geosciences", "210004 Nanomaterials", "Oligochaeta", "EARTHWORM EISENIA-ANDREI", "0105 earth and related environmental sciences", "ENVIRONMENT", "104023 Environmental chemistry", "KNOWLEDGE GAPS", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "Zinc", "Nanoparticles", "Zinc Isotopes", "Zinc Oxide", "210004 Nanomaterialien", "Environmental Sciences", "105906 Umweltgeowissenschaften"]}, "links": [{"href": "https://pubs.acs.org/doi/pdf/10.1021/acs.est.7b02944"}, {"href": "https://doi.org/10.1021/acs.est.7b02944"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Science%20%26amp%3B%20Technology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1021/acs.est.7b02944", "name": "item", "description": "10.1021/acs.est.7b02944", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1021/acs.est.7b02944"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-10-26T00:00:00Z"}}, {"id": "10.1029/2020gb006719", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:18:30Z", "type": "Journal Article", "created": "2020-11-18", "title": "Stream Dissolved Organic Matter in Permafrost Regions Shows Surprising Compositional Similarities but Negative Priming and Nutrient Effects", "description": "Abstract<p>Permafrost degradation is delivering bioavailable dissolved organic matter (DOM) and inorganic nutrients to surface water networks. While these permafrost subsidies represent a small portion of total fluvial DOM and nutrient fluxes, they could influence food webs and net ecosystem carbon balance via priming or nutrient effects that destabilize background DOM. We investigated how addition of biolabile carbon (acetate) and inorganic nutrients (nitrogen and phosphorus) affected DOM decomposition with 28\uffe2\uff80\uff90day incubations. We incubated late\uffe2\uff80\uff90summer stream water from 23 locations nested in seven northern or high\uffe2\uff80\uff90altitude regions in Asia, Europe, and North America. DOM loss ranged from 3% to 52%, showing a variety of longitudinal patterns within stream networks. DOM optical properties varied widely, but DOM showed compositional similarity based on Fourier transform ion cyclotron resonance mass spectrometry (FT\uffe2\uff80\uff90ICR MS) analysis. Addition of acetate and nutrients decreased bulk DOM mineralization (i.e., negative priming), with more negative effects on biodegradable DOM but neutral or positive effects on stable DOM. Unexpectedly, acetate and nutrients triggered breakdown of colored DOM (CDOM), with median decreases of 1.6% in the control and 22% in the amended treatment. Additionally, the uptake of added acetate was strongly limited by nutrient availability across sites. These findings suggest that biolabile DOM and nutrients released from degrading permafrost may decrease background DOM mineralization but alter stoichiometry and light conditions in receiving waterbodies. We conclude that priming and nutrient effects are coupled in northern aquatic ecosystems and that quantifying two\uffe2\uff80\uff90way interactions between DOM properties and environmental conditions could resolve conflicting observations about the drivers of DOM in permafrost zone waterways.</p>", "keywords": ["0106 biological sciences", "550", "permafrost regions", "thermokarst", "vaikutukset", "ta1171", "geosciences", "ikirouta", "carbon cycling", "551", "ravinteet", "01 natural sciences", "nutrients", "cryosphere and high-latitude processes", "Biology", "Research Articles", "organic matter", "0105 earth and related environmental sciences", "compositional similarities", "nutrients and nutrient cycling", "hiilen kierto", "ravinteiden kierr\u00e4tys", "15. Life on land", "rivers", "6. Clean water", "nutrient effects", "13. Climate action", "orgaaninen aines", "1171 Geotieteet", "SDG 6 - Clean Water and Sanitation", "joet", "permafrost"]}, "links": [{"href": "https://digitalcommons.usu.edu/context/biology_facpub/article/2820/viewcontent/2020GB006719.pdf"}, {"href": "https://doi.org/10.1029/2020gb006719"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Biogeochemical%20Cycles", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1029/2020gb006719", "name": "item", "description": "10.1029/2020gb006719", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1029/2020gb006719"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.5194/amt-2021-82", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:23Z", "type": "Journal Article", "created": "2021-03-22", "title": "An automated system for trace gas \ufb02ux measurements from plantfoliage and other plant compartments", "description": "<p>Abstract. Plant shoots can act as sources or sinks of trace gases including methane and nitrous oxide. Accurate measurementsof these trace gas fluxes require enclosing of shoots in closed non-steady state chambers. Due to plant physiological activity, this type of enclosures, however, lead to CO2 depletion in the enclosed air volume, condensation of transpired water, and warmingof the enclosures exposed to sunlight, all of which may bias the flux measurements. Here, we present PlasTraGAS, ab novel measurement system designed for continuous and automated measurements of trace gas and volatile organic compound (VOC) fluxes from plant shoots. The system uses transparent shoot enclosures equipped with Peltier cooling elements and automatically replaces fixated CO2 and removes transpired water from the enclosure. The system is designed for measuring trace gasfluxes over extended periods, capturing diurnal and seasonal variations and linking trace gas exchange to plant physiologicalfunctioning and environmental drivers. Initial measurements show daytime CH4 emissions two pine shoots of 0.056 and 0.089 nmol g\uffe2\uff88\uff921 foliage d.w.h\uffe2\uff88\uff921or 7.80 and 13.1 nmol m\uffe2\uff88\uff922 h\uffe2\uff88\uff921. Simultaneously measured CO2 uptake rates were 9.2 and 7.6 mmol m\uffe2\uff88\uff922 sec\uffe2\uff88\uff921 and transpiration rates of 1.24 and 0.90 mol m\uffe2\uff88\uff922 h\uffe2\uff88\uff921. Concurrent measurement of VOC emissionsdemonstrated that potential effects of spectral interferences on CH4 flux measurements were at least ten-fold smaller than themeasured CH4 fluxes. Overall, this new system solves multiple technical problems that so far prevented automated plant shoottrace gas flux measurements, and holds the potential for providing important new insights into the role of plant foliage in the global CH4 and N2O cycles.                         </p>", "keywords": ["Earthwork. Foundations", "13. Climate action", "TA715-787", "Environmental engineering", "TA170-171", "15. Life on land", "7. Clean energy", "01 natural sciences", "Geosciences", "EMISSIONS", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://amt.copernicus.org/articles/14/4445/2021/amt-14-4445-2021.pdf"}, {"href": "https://doi.org/10.5194/amt-2021-82"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Measurement%20Techniques", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/amt-2021-82", "name": "item", "description": "10.5194/amt-2021-82", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/amt-2021-82"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-22T00:00:00Z"}}, {"id": "10.1039/c7en01139c", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:18:48Z", "type": "Journal Article", "created": "2018-08-02", "title": "Proposal for a tiered dietary bioaccumulation testing strategy for engineered nanomaterials using fish", "description": "<p>The scientific community has invested effort into standardising methodologies for the regulatory ecotoxicity testing of engineered nanomaterials (ENMs), but the practical requirements for bioaccumulation testing of ENMs have been given less attention.</p>", "keywords": ["TITANIUM-DIOXIDE NANOPARTICLES", "ISOLATED-PERFUSED INTESTINE", "ZINC-OXIDE NANOPARTICLES", "RAINBOW-TROUT", "ZEBRAFISH DANIO-RERIO", "IN-VITRO", "3. Good health", "TROUT ONCORHYNCHUS-MYKISS", "DAPHNIA-MAGNA", "WATERBORNE COPPER NANOPARTICLES", "13. Climate action", "ECOTOXICITY TEST METHODS", "105906 Environmental geosciences", "14. Life underwater", "105906 Umweltgeowissenschaften"]}, "links": [{"href": "http://pubs.rsc.org/en/content/articlepdf/2018/EN/C7EN01139C"}, {"href": "https://doi.org/10.1039/c7en01139c"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Science%3A%20Nano", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1039/c7en01139c", "name": "item", "description": "10.1039/c7en01139c", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1039/c7en01139c"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "10138/333024", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:42Z", "type": "Journal Article", "created": "2021-03-22", "title": "An automated system for trace gas \ufb02ux measurements from plantfoliage and other plant compartments", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Plant shoots can act as sources or sinks of trace gases including methane and nitrous oxide. Accurate measurementsof these trace gas fluxes require enclosing of shoots in closed non-steady state chambers. Due to plant physiological activity, this type of enclosures, however, lead to CO2 depletion in the enclosed air volume, condensation of transpired water, and warmingof the enclosures exposed to sunlight, all of which may bias the flux measurements. Here, we present PlasTraGAS, ab novel measurement system designed for continuous and automated measurements of trace gas and volatile organic compound (VOC) fluxes from plant shoots. The system uses transparent shoot enclosures equipped with Peltier cooling elements and automatically replaces fixated CO2 and removes transpired water from the enclosure. The system is designed for measuring trace gasfluxes over extended periods, capturing diurnal and seasonal variations and linking trace gas exchange to plant physiologicalfunctioning and environmental drivers. Initial measurements show daytime CH4 emissions two pine shoots of 0.056 and 0.089 nmol g\u22121 foliage d.w.h\u22121or 7.80 and 13.1 nmol m\u22122 h\u22121. Simultaneously measured CO2 uptake rates were 9.2 and 7.6 mmol m\u22122 sec\u22121 and transpiration rates of 1.24 and 0.90 mol m\u22122 h\u22121. Concurrent measurement of VOC emissionsdemonstrated that potential effects of spectral interferences on CH4 flux measurements were at least ten-fold smaller than themeasured CH4 fluxes. Overall, this new system solves multiple technical problems that so far prevented automated plant shoottrace gas flux measurements, and holds the potential for providing important new insights into the role of plant foliage in the global CH4 and N2O cycles.</p></article>", "keywords": ["Earthwork. Foundations", "13. Climate action", "TA715-787", "Environmental engineering", "TA170-171", "15. Life on land", "7. Clean energy", "01 natural sciences", "Geosciences", "EMISSIONS", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://amt.copernicus.org/articles/14/4445/2021/amt-14-4445-2021.pdf"}, {"href": "https://doi.org/10138/333024"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Measurement%20Techniques", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10138/333024", "name": "item", "description": "10138/333024", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10138/333024"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-22T00:00:00Z"}}, {"id": "10.15454/fupob8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "CIRCASA DELIVERABLE D1.1 \u201cThe Network map and dialogue\u201d", "description": "This report shows the first stock-take of research networks and projects plus user guidance and is available for further future updating. It provides for (inter)relationship among and across networks identifying the relevant issues and participants.", "keywords": ["Soils and soil sciences", "Earth and Environmental Sciences", "Soil Sciences", "Geosciences"], "contacts": [{"organization": "Verhagen, Jan, Arias-Navarro, Cristina, Keesstra, Saskia, Kuikman, Peter, Smith, Pete, Soussana, Jean-Fran\u00e7ois,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/fupob8"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/fupob8", "name": "item", "description": "10.15454/fupob8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/fupob8"}, {"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": "10.15454/hwrhhx", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "Replication Data for: Gap assessment in current soil monitoring networks across Europe for measuring soil functions", "description": "Open AccessThis dataset was produced during the Landmark project. We compared in this work a list of attributes to existing national (regional) and EU-wide soil monitoring networks. After establishing the ranked list of attributes we investigated the incorporation of these attributes in existing monitoring schemes throughout Europe. A standard Excel spreadsheet was sent to Landmark consortium members and contacts from 18 European countries requesting detailed information on national SMNs (including long-te", "keywords": ["Earth and Environmental Science", "Soils and soil sciences", "Agricultural Sciences", "Climate", "Life Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture", "15. Life on land", "Farming Systems", "Soil functions; soil; management; climate;", "Farming Systems and Practices", "Earth and Environmental Sciences", "Soil Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture and Veterinary Medicine", "Soil functions soil management climate", "Environmental Research", "Natural Sciences", "Agriculture", " Forestry", " Horticulture", "Geosciences"], "contacts": [{"organization": "Saby, Nicolas P.A., Van Leeuwen, Jeroen P., Creamer, R.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/hwrhhx"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/hwrhhx", "name": "item", "description": "10.15454/hwrhhx", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/hwrhhx"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "10.15454/9RDHIN", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "French soil samples near infrared spectroscopy measurements and associated physico-chemical reference analysis.", "description": "This dataset presents near infrared spectra of soil samples from the experimental INRAE stations of the CAREX network including Auzeville, Epoisses, Crouel, Theix, Lusignan, Lusignan_Oasys and Ploudaniel sites (n=1040). Spectra data were acquired using a near infrared spectrometer BUCHI at Laboratoire d'Analyses des sols (LAS), Arras. The granulometric fractions and chemical properties measurements are available with their uncertainties. The tables of NIR spectra and chemical analysis and granulometry of soils from Is\u00e8re (n=28) and from Plaine_de_Versailles (n=99) locations were added. The details of the transformed NIR spectra table of Plaine_de_Versailles are available at https://doi.org/10.15454/LXKFAS.", "keywords": ["Earth and Environmental Science", "Soils and soil sciences", "Chemistry and chemical engineering", "Chemiometrics", "15. Life on land", "Construction Engineering and Architecture", "Chemistry", "Soil", "Engineering", "Earth and Environmental Sciences", "Soil Sciences", "Engineering Sciences", "Environmental Research", "Natural Sciences", "Geosciences", "Near Infrared spectroscopy"], "contacts": [{"organization": "Thoisy, Jeanne, Mistou, Marie-Noel, Latrille, Eric, Etayo, Amandine, Rossard, Virginie, Fouad, Youssef, Girardin, Cyril, Gog\u00e9, Fabien,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/9RDHIN"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/9RDHIN", "name": "item", "description": "10.15454/9RDHIN", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/9RDHIN"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "10.15454/CFWBAA", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "Donn\u00e9es de r\u00e9plication pour\u00a0: Agriculture increases the bioavailability of silicon, a beneficial element for crop, in temperate soils", "description": "These data concern the study 'Agriculture increases the bioavailability of Silicon, a beneficial element for crop, in temperate soils' published in nature communication. This work was performed in the frame of the French ANR BioSiSol project (ANR-14-CE01-0002) and is based on data from the RMQS program (French Soil Quality Monitoring Network). The French Soil Quality Monitoring Network (RMQS) is a national program for the assessment and long-term monitoring of the quality of French soils. This network is based on the monitoring of 2240 sites representative of French soils and their land use. These sites are spread over the whole French territory (metropolitan and overseas) along a systematic square grid of 16 km x 16 km cells. The network covers a broad spectrum of climatic, soil and land-use conditions (croplands, permanent grasslands, woodlands, orchards and vineyards, natural or scarcely anthropogenic land and urban parkland). The physical, chemical and biological properties of the soil are measured on each site. These soil analyses were carried out by the Soil Analysis Laboratory of INRAE (Arras, France). The spatial and temporal variability of soil properties are explained by biophysical variables, sources of contamination, history of land-use and management practices on each plot. The first sampling campaign in metropolitan France took place from 2000 to 2009 and the second campaign has begun in 2016. At each site, 25 core samples were taken by layer with an auger within a 20 m \u00d7 20 m plot and combined into a composite sample. Analyses used in this study only concern the surface layer (generally 0\u201330 cm layer) of samplings from the first campaign in metropolitan France. The analyses of total Si and available Si were made in 2016 on samples stored from the first sampling campaign. The dataset published contains all the raw data used in the statistical analysis in order to make them available for any further study. The table contains soil properties (total and available Si, particle size fraction, organic carbon content ...), observations about soil and land use, and spatial coordinates. We warn the user that coordinates published here are theoretical coordinates, the RMQS site can be located until 1 km around this point. Real coordinates can not be made publicly available because of confidential information.", "keywords": ["2. Zero hunger", "Earth and Environmental Science", "Agricultural Sciences", "silicon", "Life Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture", "15. Life on land", "TER sciences du sol", "soil", "bioavailable silicon", "Earth and Environmental Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture and Veterinary Medicine", "Environmental Research", "Natural Sciences", "RMQS", "Agriculture", " Forestry", " Horticulture", "Geosciences", "AGR farms and farming systems", "agriculture"], "contacts": [{"organization": "Saby, Nicolas P.A., Caubet, Manon, Cornu, Sophie, Meunier, Jean-Dominique, Boulonne, Line, Rati\u00e9, C\u00e9line, Jolivet, Claudy,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/CFWBAA"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/CFWBAA", "name": "item", "description": "10.15454/CFWBAA", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/CFWBAA"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.15454/KMNR6R", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "Depth distribution of soil carbon age inferred from natural 13C labelling meta-analysis", "description": "Depth profiles soil organic carbon turnover estimated by the natural 13C labelling technique. Data have been collected from published articles plus original data (meta-analysis). Dataset contains raw primary data, calculated data and ancillary information analysed and generated during the study: 'Atmosphere-soil carbon transfer as a function of soil depth'", "keywords": ["carbon 13", "Earth and Environmental Science", "Climate", "Agriculture", " Forestry", " Horticulture", " Aquaculture", "stable carbon isotopes", "Biodiversity and Ecology", "carbon cycle", "Silviculture", "Agriculture", " Forestry", " Horticulture", "Soils and soil sciences", "Ecology", "Agricultural Sciences", "Life Sciences", "15. Life on land", "Biospheric Sciences", "meta-analysis", "soil organic carbon", "13. Climate action", "Earth and Environmental Sciences", "Soil Sciences", "Forests and Forest Products", "Agriculture", " Forestry", " Horticulture", " Aquaculture and Veterinary Medicine", "Environmental Research", "Natural Sciences", "Geosciences", "meta analysis"], "contacts": [{"organization": "Balesdent, Jerome, Basile-Doelsch, Isabelle, Chadoeuf, Jo\u00ebl, Cornu, Sophie, Derrien, Delphine, Fekiacova, Zuzana, Hatt\u00e9, Christine,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/KMNR6R"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/KMNR6R", "name": "item", "description": "10.15454/KMNR6R", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/KMNR6R"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "10.15454/J9H4BS", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "Donn\u00e9es de r\u00e9plication pour\u00a0: Biogeography of soil bacteria and archaea across France", "description": "These data concern the study 'Biogeography of soil bacteria and archaea across France' Karimi B, Terrat S, Dequiedt S, Saby NPA, Horrigue W, Leli\u00e8vre M, Nowak V, Jolivet C, Arrouays D, Wincker P, Cruaud C, Bispo A, Maron PA, Bour\u00e9 NCP, Ranjard L. Sci Adv. 2018 Jul 4;4(7):eaat1808. doi: 10.1126/sciadv.aat1808 and is based on data from the RMQS program (French Soil Quality Monitoring Network). The French Soil Quality Monitoring Network (RMQS) is a national program for the assessment and long-term monitoring of the quality of French soils. This network is based on the monitoring of 2240 sites representative of French soils and their land use. These sites are spread over the whole French territory (metropolitan and overseas) along a systematic square grid of 16 km x 16 km cells. The network covers a broad spectrum of climatic, soil and land-use conditions (croplands, permanent grasslands, woodlands, orchards and vineyards, natural or scarcely anthropogenic land and urban parkland). The physical, chemical and biological properties of the soil are measured on each site. These soil analyses were carried out by the Soil Analysis Laboratory of INRAE (Arras, France). The spatial and temporal variability of soil properties are explained by biophysical variables, sources of contamination, history of land-use and management practices on each plot. The first sampling campaign in metropolitan France took place from 2000 to 2009 and the second campaign has begun in 2016. At each site, 25 core samples were taken by layer with an auger within a 20 m \u00d7 20 m plot and combined into a composite sample. Analyses used in this study only concern the surface layer (generally 0\u201330 cm layer) of samplings from the first campaign in metropolitan France. The dataset published contains all the raw data used in the statistical analysis in order to make them available for any further study. The table contains soil properties, observations on land use, and coordinates. We warn the user that coordinates published here are not the right coordinates, the RMQS site can be located until 1 km around this point. Real coordinates can not be made publicly available because of confidential information.", "keywords": ["2. Zero hunger", "silt", "Earth and Environmental Science", "cation exchange capacity", "Evapotranspiration", "Soils and soil sciences", "pH", "land use", "clay", "sand", "15. Life on land", "6. Clean water", "soil", "air temperature", "soil organic carbon", "Earth and Environmental Sciences", "Land Use", "Soil Sciences", "calcium carbonate", "phosphorus content", "Environmental Research", "Natural Sciences", "Geosciences", "altitude"], "contacts": [{"organization": "Saby, Nicolas, Boulonne, Line, Rati\u00e9, C\u00e9line, Arrouays, Dominique, Chenu, Jean-Philippe, Toutain, Beno\u00eet, Bispo, Antonio, Jolivet, Claudy,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/J9H4BS"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/J9H4BS", "name": "item", "description": "10.15454/J9H4BS", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/J9H4BS"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.15454/JCONRJ", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "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": "10.15454/OAXQX8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "Compilation of data on soil organic carbon stocks and N2O emissions from published long term  fields trials", "description": "Open AccessThis dataset was produced within the Landmark project to assess the accuracy of the DEXI climate regulation model. This was done by simulating the response of the soil organic carbon stock or N2O emissions from agricultural soils in long-term experiments (LTEs) and comparing the model outcomes to reported changes. LTEs were chosen because they facilitate the assessment of a range of different management practices on the component parts of the climate regulation function over a decadal timescale. The geographical location of the LTEs was limited to Europe, since the model has been developed specifically to make simulations across Europe. For this purpose, the database constructed by Sand\u00e9n et al. (2018) was used. This database contains publications on 251 European LTEs in which the effect of alternative management practices on soil quality were assessed. From these, 78 LTEs reported on changes in SOC stocks and 40 reported on changes in N2O emission or NO3- leaching. A large portion of these LTEs studied the effect of tillage (n = 18 for N2O, n = 33 for C stocks). As the effect of tillage on these soil properties has been summarized in multiple meta-studies, it was chosen not to run all these studies separately by the model, but instead, model performance was assessed based on these meta-analyses (Luo et al., 2010; Powlson et al., 2014). After excluding studies on the effect of tillage and studies using parameters that are not simulated by the model, the number of studies we retained to test the model was 6 for N2O emissions, 2 for NO3- leaching and 12 for changes in SOC stocks. This includes one additional study on NO3- leaching (Hansen and Djurhuus, 1997) and one on C sequestration (Spiegel et al., 2018) that were added to the dataset. (2019-04-01) Hansen, E. M., and Djurhuus, J. (1997). Nitrate leaching as influenced by soil tillage and catch crop. Soil Tillage Res. 41, 203\u2013219. doi:10.1016/S0167-1987(96)01097-5. Luo, Z., Wang, E., and Sun, O. J. (2010). Can no-tillage stimulate carbon sequestration in agricultural soils? A meta-analysis of paired experiments. Agric. Ecosyst. Environ. 139, 224\u2013231. doi:10.1016/j.agee.2010.08.006. Powlson, D. S., Stirling, C. M., Jat, M. L., Gerard, B. G., Palm, C. A., Sanchez, P. A., et al. (2014). Limited potential of no-till agriculture for climate change mitigation. Nat. Clim. Chang. 4, 678\u2013683. doi:10.1038/nclimate2292. Sand\u00e9n, T., Spiegel, H., St\u00fcger, H.-P., Schlatter, N., Haslmayr, H.-P., Zavattaro, L., et al. (2018). European long-term field experiments: knowledge gained about alternative management practices. Soil Use Manag. 34, 167\u2013176. doi:10.1111/sum.12421. Spiegel, H., Sand\u00e9n, T., Dersch, G., Baumgarten, A., Gr\u00fcndling, R., and Franko, U. (2018). \u201cSoil Organic Matter and Nutrient Dynamics Following Different Management of Crop Residues at Two Sites in Austria,\u201d in Soil Management and Climate Change (Elsevier), 253\u2013265. doi:10.1016/B978-0-12-812128-3.00017-3.", "keywords": ["2. Zero hunger", "Soils and soil sciences", "13. Climate action", "Earth and Environmental Sciences", "Soil Sciences", "15. Life on land", "Geosciences"], "contacts": [{"organization": "Van de Broek, Marijn, Christian Bugge Henriksen, Bhim Bahadur Ghaley, Emanuele Lugato, Vladimir Kuzmanovski, Aneta Trajanov, Taru Sand\u00e9n, Heide Spiegel, Charlotte Decock, Six, johan, Creamer, Rachel,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/OAXQX8"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/OAXQX8", "name": "item", "description": "10.15454/OAXQX8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/OAXQX8"}, {"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": "10.15454/2zqkir", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:01Z", "type": "Dataset", "title": "Science for policy 6: Urban planning: sealing the future of soil functions - datasets?", "description": "Open AccessThis dataset is part of Deliverable and 5.3 and produced by the WP4 team of the Landmark H2020 project. It contains the following shapefiles: PO6_BAU_NoZoning_50.shp PO6_BAU_NoZoning_100.shp PO6_BAU_Zoning_50.shp PO6_Sprawl_Zoning_50.shp PO6_BAU_NoZoning_50.shp PO6_Compact_Zoning_50.shp PO6_Compact_NoZoning_50.shp The metronamica Model was applied on six scenarios with combinations of business as usual, suburban sprawl or compact city development which build on the socio-economic projections and density assumptions of the ESPON-ET2050 project, and use the land use allocation parameters from the RECARE and SoilCare Integrated Assessment Models. Spatial development (zoning) was for some scenarios restricted in high productive fields. The model results give probabilities (0 \u2013 1) of urban development within the 1 km\u00b2 cells. Based on these probability percentages the different soil functions are reduced (100% of the probability and 50% of the probability) compared to the current soil functioning and, for the 50% scenarios, partly replaced by low productive grasslands as gardens and other public greenery. Z-scores are calculated from the spatial SF maps for each of the environmental zones. These environmental zones are derived from the Metzger et al. (2013). The z-scores give the signed fractional number of standard deviations by which SF means for an environmental zone are above or below the mean value and allow us indicate which areas have a higher or lower soil function performance compared to the mean value. Z-scores from the current SF maps and scenario maps were then compared to each other to calculate the change in z-scores. This change in z-scores is given in the shapefiles and describes the relative change in soil function performance. Positive values indicate an improvement in soil functioning compared to the current situation, negative values a decrease. More information regarding calculation and interpretation of both this dataset and the soil function maps used to calculate the z-scores can be found in: Vrebos D., F. Bampa, R. Creamer, A. Jones, E. Lugato, L. O\u2019Sullivan, P. Meire, R.P.O. Schulte, J. Schr\u00f6der and J. Staes (2018). Scenarios maps: visualizing optimized scenarios where supply of soil functions matches demands. LANDMARK Report 4.3. and Jones A. et al. (2019). An options document to propose future policy tools for functional soil management. LANDMARK 5.3. All available from www.landmark2020.eu.", "keywords": ["Water resources", "Food Safety", "Food Safety and Toxicology", "Nutritional Sciences", "Social Sciences", "7. Clean energy", "Pathology and Forensic Medicine", "Health and Life Sciences", "Farming Systems and Practices", "11. Sustainability", "13. Climate action", "Agriculture", " Forestry", " Horticulture", "Human Health and Pathology", "Soils and soil sciences", "Agricultural Sciences", "Life Sciences", "Hydrology and Hydrogeology", "15. Life on land", "Rural and Agricultural Sociology", "Human Nutrition and food security", "Farming Systems", "Medicine", " Health and Life Sciences", "Earth and Environmental Sciences", "Soil Sciences", "Medicine", "Geosciences"], "contacts": [{"organization": "Vrebos, Dirk, Bampa, Francesca, Schulte, Rogier, Creamer, Rachel, Jones, Arwyn, Staes, Jan, Zwetsloot Marie, Debernardini, Mariana, O\u2019Sullivan, Lilian,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/2zqkir"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/2zqkir", "name": "item", "description": "10.15454/2zqkir", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/2zqkir"}, {"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": "10.15454/6uedbv", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:01Z", "type": "Dataset", "title": "CIRCASA REPORT: Analysis of current capacity building and training needs surrounding SOC research and implementation", "description": "Teaching and training on soil organic carbon (SOC) is key if we are to take advantage of the many benefits of maintaining and enhancing SOC. Not least, a good background and understanding of SOC is needed by the academic, agricultural and land management communities if land management is to be used effectively for climate change mitigation. This report is a scoping study, providing a first look at the resources and provision for the teaching and training of SOC mainly in academia but also in selected international programs and initiatives. It is not a definitive study but instead provides an insight into SOC teaching and training, identifying commonalities and trends which may be worthy of future investigation. The report draws on three sources of information; two previous CIRCASA reports, an analysis of international programs and initiatives and a survey of academic stakeholders.", "keywords": ["2. Zero hunger", "Earth and Environmental Science", "Soils and soil sciences", "Agricultural Sciences", "Climate", "Environmental studies and forestry", "Social Sciences", "15. Life on land", "Farming Systems", "Farming Systems and Practices", "13. Climate action", "Earth and Environmental Sciences", "Land Use", "Soil Sciences", "Agriculture", " Forestry", " Horticulture", "Geosciences"], "contacts": [{"organization": "Milne E., Banwart S., Bray A., Frelih-Larsen A., Herb Irina, Luu P.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/6uedbv"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/6uedbv", "name": "item", "description": "10.15454/6uedbv", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/6uedbv"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.15454/8DHNRM", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "Inventory of plant vascular community diversity and large herbivore pressure of forest stands in 2013-2014, Sologne, France", "description": "This dataset contains data on vascular plant diversity and community composition of the understory in mature broadleaf and conifer forest stands in the Sologne natural region, Central France. The objectif of the project was to study the effects of large wild ungulates on forest biodiversity using a natural and anthropogenic gradient of ungulate pressure. Study area The study area was located in the Sologne Natural Region in the center of France. Sologne is characterized by flat topography and poor sandy soils on top of an impermeable clay layer, and the area is thus subject to frequent winter floodings and summer droughts are recurrent. The dominate land use is forest (53%), of which the majority is recent forests stemming from spontaneous colonization of abandoned land, but also the result of massive afforestation programs during the second half of the 19th century. Deciduous trees represent approximately 77% of the forest cover (Quercus robur: 39%, Quercus petraea: 14%, Betula pendula 9%), while the remaining 23% is made up of coniferous tree species, mainly Pinus sylvestris (13%). The three most common forest stand compositions are monospecific stands of Q. robur (23%), Q. petraea (9%) and P. sylvestris (9%). In Sologne, population densities of large ungulates (red deer, Cervus elaphus, roe deer, Capreaolus capreolus, and wild boar, Sus scrofa) have shown a marked increase in number during the past decades, as elsewhere in France and Europe. No absolute estimates of ungulate densities are available for the study area, but hunting statistics for the three species are among the highest in France, and hunting bags for the 2004/2005 hunting season for red deer, roe deer and wild boar averaged 0.4 \u00b1 0.5 (mean \u00b1 SD), 1.9 \u00b1 1.4 and 3.7 \u00b1 3.7 individuals per km\u00b2, respectively (source: the French national agency for wildlife, ONCFS). No wild large predators were present in the study area. Sampling design We made use of four fenced, five partially fenced and ten unfenced private forest properties to set up an experimental gradient of wild ungulate densities to test their effects on the structure, composition and diversity of plant communities. We selected private properties with at least 100 ha land and where forest was the dominant land use (60-100% forest). Average area of forest was 295 \u00b1 165 ha (mean \u00b1 SD; range = 91-703) per land property (Appendix 1: Table S1). A preselection of private properties all over the study area was established by contacting the Centre r\u00e9gional de la propri\u00e9t\u00e9 foresti\u00e8re (CRPF) d\u2019Ile-de-France et du Centre (Regional public organizations for private forest owners) who helped out to suggest potential land owners willing to participate to the study. We then set up a list of equal number of fenced and unfenced properties in different parts of the study area. Private land owners were then contacted by telephone in order to obtain their permission to carry out field observations on their land property. We stopped contacting landowners once we had obtained the permission from ten unfenced private properties and that were well spread over the study area. Due to difficulties in obtaining permission from land owners with fenced properties, we did not reach a completely balanced design. A completely random sample of private properties would not have been possible due to the high degree of reluctance among private landowners to give their permission to carry out observations on their land property. For each land property, we randomly assigned five study plots stratified according to the proportion of area of deciduous and coniferous forest stands. A buffer zone of at least 50 m was applied to each forest stand nearby roads and open areas. A field visit was made before final selection to assure that the study plot was not situated in recently harvested forest stands or nearby forest edges (&lt;30 m). We also rejected coppice forest stands. Ungulate pressure data We used the observed intensity of major foraging activities by ungulates (browsing for deer and rooting for wild boar) to situate sampling points along a gradient of increasing ungulate densities. As mark-recapture data was not available for our study sites, we could not base our gradient on absolute ungulate densities, but situate the study sites on a relative scale based on the above-mentioned indices (and detailed below) of ungulate activities. Deer browsing pressure was quantified at each sampling point by comparing forage use and availability based on resource selection theory. Forage use and availability were estimated on winter browse (woody and semi-woody vegetation) accessible to deer (0-2 m) in late winter (March) before the start of the growing season. Forage use and availability were estimated on three 40 m2-circular subplots per study plot, each situated at a distance of 14 m from the center of the study plot. For each species, forage availability was quantified by estimating the percentage of plant cover (i.e. the horizontal projection of shoots, twigs and branches and thus a proxy of the total number of \u201cbites\u201d available), while forage use was quantified by estimating the percentage of available shoots browsed (i.e. the percentage of actual \u201cbites\u201d). Visual estimates of forage use and availability were then attributed to one of six classes (0-1%, 1-5%, 5-20%, 20-50%, 50-75%, 75-100%), converted to mid-point values for statistical analyses. For each circular plot (40 m2), we then calculated a browsing pressure index, B, based on the sum of the forage consumed weighted by forage availability. We then used the mean value of B for the three subplots as a representative measure of browsing pressure at study plot. Wild boar rooting was quantified at the sampling points by visually estimating the percentage of soil disturbed by wild boar rooting behavior. Observations of wild boar rooting were carried out in late winter at the same time as observations of deer browsing and were estimated on the same three circular plots used for estimating deer browsing pressure (40 m2). The mean percentage of wild boar rooting for the three subplots was used as a representative measure of wild boar rooting at the study plot level. Vegetation data At each sampling point, we recorded all vascular plant species according to their presence in two vertical understory vegetation layers. We defined the two vegetation layers in relation to their accessibility to one or both of the two deer species present in our study area: low understory layer accessible both to roe and red deer (up to 130 cm in height) and high understory layer accessible only to red deer (from 130 cm to 200 cm in height). However, the data for the two vegetation layers were merged (see below). We attributed plant cover values, to each species and for each vegetation layer, based on visual estimates to the nearest percent for common species (plant cover &gt;1%) and to the nearest promille for rare species (plant cover &lt;1%). Vegetation sampling was carried out by five experienced botanists (nBot1 = 75, nBot2 = 59, nBot2 = 26, nBot2 = 20, nBot2 = 10) that formed mixed teams composed of two observers (A and B) in order to minimize observer effects. A team was composed of either botanists A (n = 36) or B (n = 20) and any of the other botanists, or both of them (n = 39). In order to harmonize the sampling effort among study plots, teams spent at least 30 minutes of actively searching new species, excluding extra time that was added for species identification problems and estimations of plant cover values. We used a relatively large sample plot size (1 000 m2) as we were interested in capturing not only common but also rare species, while limiting the size in order to include only one forest habitat type. Plant functional traits We used a trait-based approach to determine any correlations between ungulate activities and understory plant community structure, composition and diversity. From the vegetation data, we derived three families of response variables: (i) species density and (ii) plant cover for qualitative traits (including plant functional groups and categorical habitat preferences), and (iii) community-weighted means (CWM) for quantitative trait values (including quantitative habitat preferences). Data on response variables were calculated at each sampling point for the overall plant community, and separately for four plant functional types (trees, shrubs, forbs and graminoids). Data on plant functional traits were extracted from four main sources: the LEDA and BiolFlor plant trait data bases, and the floras \u201cFlore Foresti\u00e8re Fran\u00e7aise\u201dand \u201cNouvelle flore de la Belgique, du Grand-Duch\u00e9 de Luxembourg, du Nord de la France et des R\u00e9gions voisines\u201d. Missing data was added by consulting the scientific literature. We used plant functional trait data of categorical traits of plants (plant life span, plant leaf vertical distribution and spiny plants) and seeds (seed life span, frugivory seed characteristics and seed appendages), quantitative traits of plants (specific leaf area, canopy height, plant leaf vertical distribution, plant life span) and seeds (seed mass, seed releasing height, seed longevity, seed shape), as well as qualitative and quantitative plant habitat preferences (forest history, successional stage, EUNIS main habitats, Ellenberg\u2019s indicator values and Grime\u2019s CSR-scheme). Observed differences at the community level of these plant and seed characteristics among study plots are likely to inform about the plant community\u2019s response to various ungulate activities related to trophic interactions (e.g. direct effects of grazing, browsing and frugivory) and engineering effects (e.g. direct effects of trampling, rooting, seed dispersal). Site characteristics In order to take into account possible confounding factors, known to be strong determinants of vegetation composition, we made a forest stand description and took soil samples at each sampling point. Forest stands were described by measuring the dominant tree height within a radius of 18 m from the sampling point, the basal area at 1.3 m (breast height, BAbh) and canopy openness. BAbh was estimated using point sampling methodology and by separately estimating BAbh for broadleaves (BAbroadleaves), conifers (BAconifers) and coppice (BAcoppice), which allowed us to calculate overall BAbh and canopy mixture (varying from 0%, pure stand, to 50% , equally mixed stand of broadleaves and coniferous tree species). We visually estimated canopy openness at sampling points along three radial transects (one measurement every two meter along the 16 m-long transects, a total of 27 measurements per sampling point). We also determined forest history at sampling points distinguishing between recent and ancient forests. Forest history was derived from three times series of historical maps (Carte d'\u00c9tat-Major) drawn between (i) 1820 and 1866 and aerial photographs for the periods (ii) 1947-1950 and (iii) 1975-1980. We classified forest stands at sampling points as ancient forests whenever continuous forest cover was observed for all three time series (i.e. forest as land use since at least 1820-1866), while stands were classified as recent forest whenever any other form of land use was described at the sampling points for any of the three time series. Soil samples of about 500 g were taken of the mineral soil at 20 cm depth at a distance of 10 m from the point center and in three different directions (0\u00b0, 120\u00b0 et 240\u00b0). Soil samples were sent to the Soil Analysis Laboratory of INRA, Arras France. Soil samples were analyzed for soil texture (particle-size fractions in percentage of sand, silt and clay), cation exchange capacity (CEC, cmol+/kg), organic carbon (C, g/kg), total nitrogen (N, g/kg), and extractable soil phosphorus (P2O5, g/kg). Total organic carbon and total nitrogen content in the soil was measured after dry combustion (ISO 10694, ISO 13878), and the cation exchange capacity (CEC) was determined by extracting exchangeable cations (Al3+, Ca2+, Fe2+, K+, Mg2+, Mn2+, Na+) using a hexamminecobalt trichloride solution (ISO 23470). Extractable soil phosphorus was determined using Duchaufour\u2019s method, which is a method appropriate for acidic forest soils. Soil pH was measured at our own laboratory using a pH-meter (Eutech Instruments Eco Scan 6+) in a 1:5 (volume fraction) suspension of soil in 1 mol/l potassium chloride solution (pHKCl) following the ISO 10390 standard. The majority of forest stands were recent forests (n = 76), while the remaining fifth were classified as ancient forests (n = 19). Two thirds of sampling points were situated in high stands dominanted by broadleafs (n = 63) composed of oak trees (Quercus petraea, Q. robur), while one third were in high stands of coniferous trees (n = 32) composed of pine trees (Pinus sylvestris, P. nigra subsp. laricio). Overall mean basal area was 22.6 \u00b1 0.9 m2/ha and the mean dominant tree height was 23.4 \u00b1 0.4 m. Coppice stools of Betula sp., Carpinus betulus, Castanea sativa, Corylus avellana and Quercus sp. were present in the understory at about one third (n = 35) of the sampling points with a mean basal area of 6.5 \u00b1 1.2 m2/ha. Soils were representative of the region characterized by low soil fertility of N (0.4 \u00b1 0.04 g/kg) and P2O5 (0.03 \u00b1 0.004 g/kg), low CEC (1.8 \u00b1 0.2), and high acidity (4.2 \u00b1 0.03).", "keywords": ["Earth and Environmental Science", "Cervidae", "Ecology", "plant community", "browsing", "Biospheric Sciences", "Biodiversity and Ecology", "Suidae", "Earth and Environmental Sciences", "ungulate", "species richness", "forest ecology", "Environmental Research", "Natural Sciences", "Geosciences", "biodiversity"], "contacts": [{"organization": "M\u00e5rell, Anders, Baltzinger, Christophe,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/8DHNRM"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/8DHNRM", "name": "item", "description": "10.15454/8DHNRM", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/8DHNRM"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.15454/10XUKC", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:01Z", "type": "Dataset", "title": "Caract\u00e9ristiques physico-chimiques des sols en semis direct sous couvert. Enqu\u00eate sur un r\u00e9seau d'agriculteurs en Bourgogne-Franche-Comt\u00e9: 2018-2019", "description": "Open AccessLes informations contenues dans ce jeu de donn\u00e9es correspondent aux r\u00e9sultats d'analyses de sol effectu\u00e9es sur des parcelles agricoles d\u2019un r\u00e9seau de 62 agriculteurs en agriculture de conservation de la r\u00e9gion Bourgogne-Franche-Comt\u00e9. Les pr\u00e9l\u00e8vements de sol ont \u00e9t\u00e9 r\u00e9alis\u00e9s sur une profondeur de 0 \u00e0 10 cm. Au total, le sol de 176 parcelles a \u00e9t\u00e9 analys\u00e9 soit en 2018, soit en 2019. Douze variables ont \u00e9t\u00e9 mesur\u00e9es ou calcul\u00e9es sur les pr\u00e9l\u00e8vements effectu\u00e9s : la granulom\u00e9trie (5 fractions), le carbone total et la mati\u00e8re organique, le calcaire total, l\u2019azote total, le rapport C/N, le pH eau et KCl.", "keywords": ["2. Zero hunger", "Earth and Environmental Science", "Soils and soil sciences", "Agricultural Sciences", "Life Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture", "15. Life on land", "Farming Systems", "Farming Systems and Practices", "Earth and Environmental Sciences", "Soil Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture and Veterinary Medicine", "Environmental Research", "Natural Sciences", "propri\u00e9t\u00e9 du sol", "sol agricole", "Agriculture", " Forestry", " Horticulture", "Geosciences"], "contacts": [{"organization": "Derrouch, Damien, Chauvel, Bruno, Dessaint, Fabrice,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/10XUKC"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/10XUKC", "name": "item", "description": "10.15454/10XUKC", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/10XUKC"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.15454/6UEDBV", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:01Z", "type": "Dataset", "title": "CIRCASA REPORT: Analysis of current capacity building and training needs surrounding SOC research and implementation", "description": "Teaching and training on soil organic carbon (SOC) is key if we are to take advantage of the many benefits of maintaining and enhancing SOC. Not least, a good background and understanding of SOC is needed by the academic, agricultural and land management communities if land management is to be used effectively for climate change mitigation. This report is a scoping study, providing a first look at the resources and provision for the teaching and training of SOC mainly in academia but also in selected international programs and initiatives. It is not a definitive study but instead provides an insight into SOC teaching and training, identifying commonalities and trends which may be worthy of future investigation. The report draws on three sources of information; two previous CIRCASA reports, an analysis of international programs and initiatives and a survey of academic stakeholders.", "keywords": ["2. Zero hunger", "Earth and Environmental Science", "Soils and soil sciences", "Agricultural Sciences", "Climate", "Environmental studies and forestry", "Social Sciences", "15. Life on land", "Farming Systems", "Farming Systems and Practices", "13. Climate action", "Earth and Environmental Sciences", "Land Use", "Soil Sciences", "Agriculture", " Forestry", " Horticulture", "Geosciences"], "contacts": [{"organization": "Milne E., Banwart S., Bray A., Frelih-Larsen A., Herb Irina, Luu P.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/6UEDBV"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/6UEDBV", "name": "item", "description": "10.15454/6UEDBV", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/6UEDBV"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.15454/8xff8d", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "CIRCASA DELIVERABLE D2.1 \u201cStakeholder views on the role of SOC for climate change mitigation, adaptation and SDGs\u201d", "description": "Report on the views of stakeholders for potential for SOC management to contribute to SOC sequestration for climate change mitigation and adaptation and for the achievement of SDGs, including how these measures can be implemented, which barriers may constrain this, and which knowledge gaps need to be filled.", "keywords": ["Earth and Environmental Science", "Farming Systems and Practices", "Soils and soil sciences", "13. Climate action", "Agricultural Sciences", "Climate", "Earth and Environmental Sciences", "Soil Sciences", "Agriculture", " Forestry", " Horticulture", "Geosciences", "Farming Systems"], "contacts": [{"organization": "Olensen, J.E., Swanepoel, C., Katto, C., Verchot, L., Baldock, J., Grundy, M., Hongmin, D., Li, Y., McNeill, S., Claessen, L., Arias-Navarro, C., Graversgaard, M., Soussana, J.-F., Frelih-Larsen, A., Ittner, S., Tarpey, J., Madari, B.E., Razafimbelo, T., Kontoboytseva, A., Nciizah, A.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/8xff8d"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/8xff8d", "name": "item", "description": "10.15454/8xff8d", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/8xff8d"}, {"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": "10.15454/LJRFJR", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "Tree functional traits, forest biomass, and tree species diversity interact with site properties to drive forest soil carbon", "description": "This dataset contains the raw data of the study published by Augusto Boca about the effect of plant functional traits, stand biomass, and species mixtures on soil organic carbon in forest soils.", "keywords": ["Earth and Environmental Science", "Soil Organic Carbon", "Earth and Environmental Sciences", "15. Life on land", "Environmental Research", "Natural Sciences", "Geosciences"], "contacts": [{"organization": "Augusto, Laurent", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/LJRFJR"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/LJRFJR", "name": "item", "description": "10.15454/LJRFJR", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/LJRFJR"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "10.15454/OGJNIC", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "Dataset for the Global Change Biology paper \"Feasibility of the 4 per 1000 aspirational target for soil carbon. A case study for France\", published as part of the French 4 per mille study.", "description": "Increasing soil organic carbon (SOC) stocks is a promising way to mitigate the increase in atmospheric CO2 concentration. Based on a simple ratio between CO2 anthropogenic emissions and SOC stocks worldwide, it has been suggested that a 0.4% (4 per 1000) yearly increase of SOC stocks could compensate for current anthropogenic CO2 emissions. Here, we used a reverse RothC modelling approach to estimate the amount of C inputs to soils required to sustain current SOC stocks and to increase them by 4\u2030 per year over a period of 30 years. We assessed the feasibility of this aspirational target first by comparing the amount of C inputs required with net primary productivity (NPP) flowing to the soil, and second by considering the SOC saturation concept. Calculations were performed for mainland France, at a 1 km grid cell resolution. This dataset gives the main results supporting these conclusions, as well as the uncertainty attached to these results.", "keywords": ["Earth and Environmental Science", "Soils and soil sciences", "Agricultural Sciences", "carbon", "Life Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture", "15. Life on land", "7. Clean energy", "soil", "soil organic carbon", "13. Climate action", "Earth and Environmental Sciences", "Soil Sciences", "Forests and Forest Products", "Agriculture", " Forestry", " Horticulture", " Aquaculture and Veterinary Medicine", "net primary productivity", "Other", "Environmental Research", "Natural Sciences", "Silviculture", "Agriculture", " Forestry", " Horticulture", "Geosciences"], "contacts": [{"organization": "Martin, Manuel, Bassem Dimassi, Mercedes Rom\u00e0n Dobarco, Bertrand Guenet, Dominique Arrouays, Denis A. Angers, Fabrice Blache, Fr\u00e9d\u00e9ric Huard, Jean-Fran\u00e7ois Soussana, Sylvain Pellerin,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/OGJNIC"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/OGJNIC", "name": "item", "description": "10.15454/OGJNIC", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/OGJNIC"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.15454/QSXKGA", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "Analyses physico-chimiques des sites du R\u00e9seau de Mesures de la Qualit\u00e9 des Sols (RMQS) du territoire m\u00e9tropolitain pour la 1\u00e8re campagne (2000-2009), avec coordonn\u00e9es th\u00e9oriques", "description": "Le R\u00e9seau de mesures de la qualit\u00e9 des sols (RMQS) est un programme national d\u2019\u00e9valuation et de suivi \u00e0 long terme de la qualit\u00e9 des sols fran\u00e7ais. Ce r\u00e9seau repose sur le suivi de 2240 sites repr\u00e9sentatifs des sols fran\u00e7ais et de leurs occupations, r\u00e9partis sur l\u2019ensemble du territoire fran\u00e7ais (m\u00e9tropole et outre-mer) selon une grille syst\u00e9matique de 16 km de c\u00f4t\u00e9. Les sites recouvrent diverses occupations (grandes cultures, prairies permanentes, for\u00eats, vignes et vergers, milieux peu anthropis\u00e9s, parcs urbains). Des propri\u00e9t\u00e9s physiques, chimiques et biologiques des sols sont mesur\u00e9es sur chaque site, par campagne. Ces analyses sont associ\u00e9es \u00e0 la recherche des facteurs explicatifs de la variabilit\u00e9 spatiale et temporelle des propri\u00e9t\u00e9s des sols (variables biophysiques, sources de contamination, historique de l\u2019occupation et des pratiques de gestion de chaque site). La premi\u00e8re campagne de pr\u00e9l\u00e8vement en m\u00e9tropole s'est d\u00e9roul\u00e9e de 2000 \u00e0 2009. Cette campagne, ax\u00e9e sur la contamination des sols, a permis de cartographier les principaux param\u00e8tres p\u00e9dologiques (28 variables) ainsi que les teneurs en 12 \u00e9l\u00e9ments traces m\u00e9talliques (ETM) en extraction totale ou partielle et 70 polluants organiques persistants. L\u2019ensemble des pr\u00e9l\u00e8vements, mesures et observations r\u00e9alis\u00e9s sur chaque site durant cette campagne est d\u00e9taill\u00e9 dans le Manuel de la premi\u00e8re campagne du R\u00e9seau de Mesures de la Qualit\u00e9 des Sols . La deuxi\u00e8me campagne a d\u00e9marr\u00e9 en 2016 et devrait s\u2019\u00e9tendre sur 12 ans. Le jeu de donn\u00e9es fourni comprend les r\u00e9sultats d\u2019analyses issus de 2171 sites de m\u00e9tropole, r\u00e9partis sur 2146 cellules et correspondant \u00e0 la premi\u00e8re campagne RMQS (2000 -2009) et pour les param\u00e8tres suivants : granulom\u00e9trie 5 fractions, carbone et azote totaux, capacit\u00e9 d\u2019\u00e9change cationique et cations \u00e9changeables, calcaire total, pH eau, phosphore assimilable (P2O5), fer libre, \u00e9l\u00e9ments majeurs totaux et \u00e9l\u00e9ments traces m\u00e9talliques totaux et une partie des ETM en extraction partielle, conductivit\u00e9 \u00e9lectrique et \u00e9l\u00e9ments solubles \u00e0 l\u2019eau pour une s\u00e9lection de sites concern\u00e9s. Les analyses ont \u00e9t\u00e9 r\u00e9alis\u00e9es sur des \u00e9chantillons composites pr\u00e9lev\u00e9s \u00e0 la tari\u00e8re selon deux couches de pr\u00e9l\u00e8vement (0-30 cm ou couche travaill\u00e9e en sol cultiv\u00e9, appel\u00e9e composite de surface ou composite 1 et la couche sous-jacente jusqu\u2019\u00e0 50 cm, appel\u00e9e composite de sub-surface ou composite 2). Chaque \u00e9chantillon composite a \u00e9t\u00e9 constitu\u00e9 \u00e0 partir du m\u00e9lange de 25 pr\u00e9l\u00e8vements individuels pr\u00e9lev\u00e9s sur une surface d\u2019\u00e9chantillonnage de 400 m\u00b2 selon un plan d\u2019\u00e9chantillonnage al\u00e9atoire stratifi\u00e9 (voir description dans le manuel du RMQS). Une troisi\u00e8me couche de pr\u00e9l\u00e8vement issue d\u2019\u00e9chantillons composites a pu \u00eatre constitu\u00e9e en for\u00eat ou en prairie, \u00e0 partir des horizons holorganiques (correspondant aux horizons p\u00e9dologiques OF et OH) lorsque ces horizons \u00e9taient suffisamment \u00e9pais (au moins 1 cm) et continus sur la surface d\u2019\u00e9chantillonnage. English version The French Soil Quality Monitoring Network (RMQS) is a national program for the assessment and long-term monitoring of the quality of French soils. This network is based on the monitoring of 2240 sites representative of French soils and their land use. These sites are spread over the whole French territory (metropolitan and overseas) along a systematic square grid of 16 km x 16 km cells. The network covers a broad spectrum of climatic, soil and land-use conditions (croplands, permanent grasslands, woodlands, orchards and vineyards, natural or scarcely anthropogenic land and urban parkland). The physical, chemical and biological properties of the soil are measured on each site, during the first campaign et presently on the second campaign. The spatial and temporal variability of soil properties are explained by biophysical variables, sources of contamination, history of land-use and management practices on each plot. The first sampling campaign in metropolitan France took place from 2000 to 2009. This campaign focused on soil contamination assessment and made it possible to map key soil parameters (28 variables) as well as 12 trace metal elements and 70 persistent organic pollutants. The sampling method, measurements and observations on each site are described in the \u201cRMQS guidelines\u201d1 (in French: \u201cmanuel du RMQS\u201d). The second campaign started in 2016 and should last 12 years. The dataset includes the results of soil analyses from 2171 sites, spread over 2146 cells and corresponding to the first RMQS campaign (2000-2009). Analysed parameters are particle size analysis (5 fractions), total carbon and nitrogen, cation exchange capacity and exchangeable cations, total calcium carbonates, pH in water, available P2O5, free iron, total major elements and trace elements (total and partial extraction). The soil tests were carried out on composite samples collected with an auger at two sampling layers: 0-30 cm or cultivated layer named \u201cupper layer\u201d or \u201clayer 1\u201d and 30-50 cm named \u201csubsoil layer\u201d or \u201clayer 2\u201d. Each composite sample was made up of 25 individual sample cores taken on a sampling area of 400 m\u00b2, using an unaligned systematic sampling design (see description in the RMQS guidelines). In some cases a third layer was made up of holorganic layers in forests or meadows, corresponding to pedological horizons OF and OH, when these layers were sufficiently thick, (at least 1 cm) and continuous over the sampling area.", "keywords": ["Earth and Environmental Science", "sol", "pH du sol", "p\u00e9dologie (geosciences)", "TER sciences du sol", "capacit\u00e9 d \u00e9change cationique", "fer", "carbonate", "granulom\u00e9trie du sol", "Earth and Environmental Sciences", "conductivit\u00e9 \u00e9lectrique", "p\u00e9dologie geosciences", "carbone du sol", "phosphore du sol", "Environmental Research", "Natural Sciences", "capacit\u00e9 d'\u00e9change cationique", "azote du sol", "Geosciences"], "contacts": [{"organization": "Institut National de la Recherche Agronomique, Association marnaise de d\u00e9veloppement agricole et viticole, Association pour la Relance Agronomique en Alsace (ARAA), Chambre D\u00e9partementale d'Agriculture des Ardennes, Chambre D\u00e9partementale d'Agriculture de l'Aube, Chambre D\u00e9partementale d'Agriculture du Calvados, Chambre D\u00e9partementale d'Agriculture de Charente, Chambre D\u00e9partementale d'Agriculture de Charente-Maritime, Chambre D\u00e9partementale d'Agriculture du Cher, Chambre D\u00e9partementale d'Agriculture de Corr\u00e8ze, Chambre D\u00e9partementale d'Agriculture de la C\u00f4te d'Or, Chambre D\u00e9partementale d'Agriculture de Creuse, Chambre D\u00e9partementale d'Agriculture des Deux-S\u00e8vres, Chambre D\u00e9partementale d'Agriculture de l'Eure, Chambre D\u00e9partementale d'Agriculture de l'Eure-et-Loir, Chambre D\u00e9partementale d'Agriculture de Haute-Marne, Chambre D\u00e9partementale d'Agriculture de Haute-Vienne, Chambre D\u00e9partementale d'Agriculture de l'Indre, Chambre D\u00e9partementale d'Agriculture de Loire-Atlantique, Chambre D\u00e9partementale d'Agriculture de Mayenne, Chambre D\u00e9partementale d'Agriculture de la Manche, Chambre D\u00e9partementale d'Agriculture de Mayenne, Chambre D\u00e9partementale d'Agriculture de la Ni\u00e8vre, Chambre D\u00e9partementale d'Agriculture de l'Orne, Chambre D\u00e9partementale d'Agriculture de Sa\u00f4ne-et-Loire, Chambre D\u00e9partementale d'Agriculture de Seine-et-Marne, Chambre D\u00e9partementale d'Agriculture de Seine-Maritime, Chambre D\u00e9partementale d'Agriculture de Vend\u00e9e, Chambre D\u00e9partementale d'Agriculture de la Vienne, Chambre D\u00e9partementale d'Agriculture de l'Yonne, Chambre R\u00e9gionale d'Agriculture de Bretagne, Chambre R\u00e9gionale d'Agriculture de Lorraine, Chambre R\u00e9gionale d'Agriculture de Picardie, Chambre R\u00e9gionale d'Agriculture de Poitou-Charentes, Conseil G\u00e9n\u00e9ral de Mayenne, \u00c9cole nationale d'ing\u00e9nieurs des travaux agricoles de Bordeaux (ENITAB), EDIACARA, \u00c9tablissement national d'enseignement sup\u00e9rieur agronomique de Dijon (ENESAD), Genevois-Gomendy-Sol et Environnement, Groupe R\u00e9gional Agronomie P\u00e9dologie Environnement (GRAPE Franche-Comt\u00e9), Institut Forestier National (IFN), Institut National d'Horticulture d'Angers (INH), Institut National Polytechnique - Ecole Nationale Sup\u00e9rieure d'Agronomie de Toulouse (INP-ENSAT), Institut Sup\u00e9rieur d'Agriculture de Lille (ISA), SCITERRE, Soci\u00e9t\u00e9 du Canal de Provence et d'Am\u00e9nagement de la R\u00e9gion Proven\u00e7ale (SCP), Sol Info Rh\u00f4ne Alpes - Chambre R\u00e9gionale d'Agriculture de Rh\u00f4ne-Alpes (SIRA),", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/QSXKGA"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/QSXKGA", "name": "item", "description": "10.15454/QSXKGA", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/QSXKGA"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.15454/aiq9ws", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "French RMQS soil profile and monitoring dataset with related management practices data", "description": "Open Access<p>This dataset corresponds to a datamart produced by the WP2 team of the Landmark H2020 project. </p> <p>2 tables provided by France are available: </p> <ul> <li>One table of fact-gathering the results of the chemical and physical analyses of the soil profiles and monitoring.</li> <li> One table of fact-gathering the results of the cultural management practices related to soil data.</li> </ul> <p>Both tables are connected with the same id attribute. To link soil data to management practices, yo", "keywords": ["2. Zero hunger", "Earth and Environmental Science", "Soils and soil sciences", "Agricultural Sciences", "Climate", "Life Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture", "15. Life on land", "Farming Systems", "Soil functions; soil; management; climate;", "Farming Systems and Practices", "Earth and Environmental Sciences", "Soil Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture and Veterinary Medicine", "Soil functions soil management climate", "Environmental Research", "Natural Sciences", "Agriculture", " Forestry", " Horticulture", "Geosciences"], "contacts": [{"organization": "Saby, Nicolas P.A., Chenu, Jean-Philippe, Szergi, Tamas, Csorba, Adam, Bertuzzi, Patrick, Toutain, Beno\u00eet, Picaud, Calypso, Gay, Laura, Creamer, R.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/aiq9ws"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/aiq9ws", "name": "item", "description": "10.15454/aiq9ws", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/aiq9ws"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.15454/OVA9SO", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "Fine resolution map of top- and subsoil carbon sequestration potential in France", "description": "Although soils have a high potential to offset CO2 emissions through its conversion into soil organic carbon (SOC) with long turnover time, it is widely accepted that there is an upper limit of soil stable C storage, which is referred to SOC saturation. In this study we estimate SOC saturation in French topsoil (0\u201330 cm) and subsoil (30\u201350 cm), using the Hassink equation and calculate the additional SOC sequestration potential (SOCsp) by the difference between SOC saturation and fine fraction C on an unbiased sampling set of sites covering whole mainland France. We then map with fine resolution the geographical distribution of SOCsp over the French territory using a regression Kriging approach with environmental covariates. Results show that the controlling factors of SOCsp differ from topsoil and subsoil. The main controlling factor of SOCsp in topsoils is land use. Nearly half of forest topsoils are over-saturated with a SOCsp close to 0 (mean and standard error at 0.19 \u00b1 0.12) whereas cropland, vineyard and orchard soils are largely unsaturated with degrees of C saturation deficit at 36.45 \u00b1 0.68% and 57.10 \u00b1 1.64%, respectively. The determinant of C sequestration potential in subsoils is related to parent material. There is a large additional SOCsp in subsoil for all land uses with degrees of C saturation deficit between 48.52 \u00b1 4.83% and 68.68 \u00b1 0.42%. Overall the SOCsp for French soils appears to be very large (1008 Mt C for topsoil and 1360 Mt C for subsoil) when compared to previous total SOC stocks estimates of about 3.5 Gt in French topsoil. Our results also show that overall, 176 Mt C exceed C saturation in French topsoil and might thus be very sensitive to land use change.", "keywords": ["soil organic carbon", "Earth and Environmental Science", "Soils and soil sciences", "13. Climate action", "Earth and Environmental Sciences", "Soil Sciences", "top soil", "15. Life on land", "Environmental Research", "Natural Sciences", "carbon sequestration", "Geosciences"], "contacts": [{"organization": "Chen, Songchao, Martin, Manuel, P., Saby, Nicolas P.A., Walter, Christian, Angers, Denis A., Arrouays, Dominique,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/OVA9SO"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/OVA9SO", "name": "item", "description": "10.15454/OVA9SO", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/OVA9SO"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "10.15454/RKYCLF", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "Time evolution of nitrate, nitrite and dissolved organic carbon concentrations of the water collected by EFELE's lysimeters", "description": "This dataset is related to the time evolution of nitrate, nitrite and dissolved organic carbon concentrations of the water collected by EFELE\u2019s lysimeters during drainage seasons from 2014-2015 to 2017-2018. EFELE is an experimental site of the SOERE PRO network (https://www6.inra.fr/valor-pro). It is used to measure long-term evolutions of agrosystems after repeated applications of organic residues derived from animal wastes that undergo a variety of treatments (e.g. none, composting, anaerobic digestion). Two long-term agronomic experiments have been performed at the EFELE site since 2012: i) PROs, a randomized 4-block trial: 5 OWP treatments are compared to a control treatment with mineral nitrogen (N) fertilization (MIN). The OWP treatments studied are pig slurry (PS), composted pig manure supplemented with mineral N (CPigM+N), cattle manure supplemented with mineral N (CM+N), poultry manure (PoM) and a digestate of pig slurry (PS-DIG), ii) TS/MO, a split-plot trial with 4 treatments: conventional tillage and mineral N fertilization (CT_MIN), conventional tillage and cattle manure application (CT_CM), reduced tillage and mineral N fertilization (RT_MIN) and reduced tillage and cattle manure application (RT_CM). Six plots of the PROs trial (block 1) and 4 plots of the TS/MO trial (block 1) are equipped with fiberglass-wick lysimeters. Two pairs of lysimeters are installed in each plot (depths of 40 and 90 cm, respectively). Data from 4 consecutive drainage seasons from 2014-2015 to 2017-2018 are presented in this dataset", "keywords": ["2. Zero hunger", "Soils and soil sciences", "Earth and Environmental Sciences", "Soil Sciences", "6. Clean water", "Geosciences"], "contacts": [{"organization": "Morvan, Thierry, Lemoine, Charlotte, Gaillard, Florian, Hamelin, Gaelle, Trinkler, B\u00e9atrice, Petitjean, Patrice, Jaffrezic, Anne,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/RKYCLF"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/RKYCLF", "name": "item", "description": "10.15454/RKYCLF", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/RKYCLF"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.15454/e03znv", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "CIRCASA DELIVERABLE D1.5: \"Pilot knowledge information system set up through the OCP\"", "description": "Official release of the international knowledge information system with complete functionalities based on partner user feedbacks, integrated within the OCP.", "keywords": ["Earth and Environmental Science", "Soils and soil sciences", "Computer and Information Science", "Computer Science", " Electrical and System Engineering", "Computer science", "Information management", "Earth and Environmental Sciences", "Computer Science", "Soil Sciences", "Engineering Sciences", "Environmental Research", "Natural Sciences", "Geosciences", "Information Science"], "contacts": [{"organization": "Arias-Navarro, C., Tanikawa, S., Laurent, J.-B., De Sousa, L., Soussana, J.-F.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/e03znv"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/e03znv", "name": "item", "description": "10.15454/e03znv", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/e03znv"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.15454/jtve46", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "French SOERE soil monitoring dataset with related management practices data", "description": "Open AccessThis dataset corresponds to a datamart produced by the WP2 team of the Landmark H2020 project. The SOERE PRO is a French research observatory on organic residues recycling in agriculture. It is a network of long-term field experiments, including QualiAgro and PROspective devices, which has been created to evaluate benefits and risks associated with organic residue (OR) application in agriculture. It has been certified as SOERE PRO (a network of long-term experiments dedicated to the study of imp", "keywords": ["Earth and Environmental Science", "Climate", "6. Clean water", "Agriculture", " Forestry", " Horticulture", " Aquaculture", "Soil functions", "7. Clean energy", "12. Responsible consumption", "soil", "Farming Systems and Practices", "11. Sustainability", "13. Climate action", "climate", "Agriculture", " Forestry", " Horticulture", "2. Zero hunger", "Soils and soil sciences", "Agricultural Sciences", "Life Sciences", "15. Life on land", "soil functions", "Farming Systems", "Earth and Environmental Sciences", "Soil Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture and Veterinary Medicine", "Environmental Research", "Natural Sciences", "Geosciences"], "contacts": [{"organization": "Gay, Laura, Saby, Nicolas P.A., Michaud, Aur\u00e9lia, Montenach, Denis, Resseguier Camille, Houot, Sabine, Szergi, Tamas, Csorba, Adam, Bertuzzi, Patrick, Toutain, Beno\u00eet, Picaud, Calypso, Creamer, Rachel,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/jtve46"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/jtve46", "name": "item", "description": "10.15454/jtve46", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/jtve46"}, {"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": "10.15454/fiuwgq", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "Compilation of diagnostic horizons data", "description": "Open AccessThis dataset corresponds to a datamart produced by the WP2 team of the Landmark H2020 project. The database was developed by using a decision tree based script which determines the presence or absence of selected WRB diagnostic units (horizons, properties and materials) based on the harmonized soil profile dataset. The python-based code was developed based on the criteria defined by the World Reference Base for Soil Resources 2014 for the selected diagnostic units, by considering the difference in the information content of the input soil profile databases. Besides the presence/absence information, the code returns a percentage of reliability which provides an estimation on the reliability of the prediction of a certain diagnostic unit. The attributes are presented in the 'dh_dictionary' file.", "keywords": ["Earth and Environmental Science", "Soils and soil sciences", "Agricultural Sciences", "Climate", "Life Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture", "15. Life on land", "Soil functions", "Farming Systems", "soil", "Farming Systems and Practices", "Earth and Environmental Sciences", "Soil Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture and Veterinary Medicine", "Environmental Research", "Natural Sciences", "climate", "Agriculture", " Forestry", " Horticulture", "Geosciences"], "contacts": [{"organization": "Saby, Nicolas P.A., Mich\u00e9li, Erika, Csorba, Adam, Szergi, Tam\u00e1s, Vadnai, Peter, Dobos, Endre, Bertuzzi, Patrick, Toutain, Beno\u00eet, Picaud, Calypso, Gay, Laura, Chenu, Jean-Philippe, Creamer, Rachel,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/fiuwgq"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/fiuwgq", "name": "item", "description": "10.15454/fiuwgq", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/fiuwgq"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.15454/gxlrhg", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "European climate indicators datasets", "description": "Open Access<p>This dataset corresponds to a datamart produced by the WP2 team of the Landmark H2020 project.</p> <p>A specific request consists in the computation of a limited number of climate indicators for each grid cells and needed to run the dexi models. They are calculated for each year.</p> <p>Those indicators was calculated for 2 periods:</p> <ul> <li>1990 to 2016</li> <li>1997 to 2016</li> </ul>", "keywords": ["Earth and Environmental Science", "Soils and soil sciences", "Farming Practices", "Agricultural Sciences", "Climate", "Life Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture", "soil functions", "soil science", "7. Clean energy", "Farming Systems", "Soil functions; soil; management; climate;", "Soil", "Farming Systems and Practices", "13. Climate action", "Earth and Environmental Sciences", "Soil Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture and Veterinary Medicine", "Soil functions soil management climate", "soil management", "Environmental Research", "Natural Sciences", "climate", "Agriculture", " Forestry", " Horticulture", "Geosciences"], "contacts": [{"organization": "Bertuzzi, Patrick, Saby, Nicolas P.A., Toutain, Beno\u00eet, Picaud, Calypso, Chenu, Jean-Philippe, Creamer, Rachel, Gay, Laura,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/gxlrhg"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/gxlrhg", "name": "item", "description": "10.15454/gxlrhg", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/gxlrhg"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "10.15454/iw9cwa", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:02Z", "type": "Dataset", "title": "Science for policy 5: Strategic Plans: opportunities to maximise the supply of soil functions but beware trade-offs! \u2013 datasets.", "description": "Open AccessThis dataset is part of Deliverable 4.2, 4.3 and 5.3 and was produced by the WP4 team of the Landmark H2020 project. It contains the following shapefiles: PO5_Current_SFs_PrimaryProductivity.tiff PO5_Current_SFs_ClimateRegulation.tiff PO5_Current_SFs_WaterRegulation_Drought.tiff PO5_Current_SFs_WaterRegulation_WaterLoggging.tiff PO5_Current_SFs_WaterPurification.tiff PO5_Current_SFs_NutrientCycling.tiff PO5_Current_SFs_Biodiversity.tiff PO5_Current_SFs_EnvZone.shp PO5_Current_SFs_NUTS1.shp PO5_Maximization_ClimateRegulation.shp PO5_Maximization_Drought.shp PO5_Maximization_NCycling.shp PO5_Maximization_PrimaryProductivity.shp PO5_Maximization_Waterlogging.shp PO5_Maximization_Waterpurification.shp PO5_Maximization_Waterpurification.shp The tiff-files give the spatial variation in soil function performance for 6 soil functions in in agricultural soils across the EU. The soil functions were mapped by applying a number of crop specific Bayesian networks on a combination of spatial maps which describe soil properties, climate, land use and land management on agricultural soils throughout the European Union. PO5_Current_SFs_EnvZone.shp and PO5_Current_SFs_NUTS1.shp give the z-scores for both grasslands and cropland in 12 environmental zones for the six soil functions. The z-scores give the signed fractional number of standard deviations by which SF means for an environmental zone are above or below the mean value and allow us indicate which areas have a higher or lower soil function performance compared to the mean value. These values were extracted from the tiff-files provided in this dataset. The PO5_Maximization shapefiles give an estimation of the change in soil function performance across the EU when one soil function is maximized through changes in management. This spatial variation is represented in change in z-scores compared to the current SF supply. To develop the scenario, for each of the locations, the soil function was maximized in the underlying Bayesian networks, by allowing it to change different types of management (irrigation, fertilizer, etc.) for each location taking soil, climate and crop type into account. These changes also impact the performance of the other soil functions. For each of the soil functions a separate spatial map was created. Which was then used to calculate z-scores for each of the environmental zones. Z-scores from the current SF maps and scenario maps were then compared to each other to calculate the change in z-scores. This change in z-scores is given in the shapefiles and describes the relative change in soil function performance. Positive values indicate an improvement in soil functioning compared to the current situation, negative values a decrease. More information regarding calculation and interpretation of both this dataset and the soil function maps used to calculate the z-scores can be found in: Vrebos D., J. Staes, R. Schulte, L. O\u2019Sullivan, E. Lugato, A. Jones, A. Georgoulas and P. Meire (2018). Soil function supply maps. LANDMARK Report 4.2. Vrebos D., F. Bampa, R. Creamer, A. Jones, E. Lugato, L. O\u2019Sullivan, P. Meire, R.P.O. Schulte, J. Schr\u00f6der and J. Staes (2018). Scenarios maps: visualizing optimized scenarios where supply of soil functions matches demands. LANDMARK Report 4.3. and Jones A. et al. (2019). An options document to propose future policy tools for functional soil management. LANDMARK 5.3. All available from www.landmark2020.eu.", "keywords": ["2. Zero hunger", "Earth and Environmental Science", "Water resources", "Soils and soil sciences", "Ecology", "Agricultural Sciences", "Climate", "Hydrology and Hydrogeology", "15. Life on land", "Farming Systems", "Biodiversity and Ecology", "Farming Systems and Practices", "13. Climate action", "Earth and Environmental Sciences", "Soil Sciences", "Agriculture", " Forestry", " Horticulture", "Geosciences"], "contacts": [{"organization": "Vrebos, Dirk, Bampa, Francesca, Schulte, Rogier, Creamer, Rachel, Jones, Arwyn, Staes, Jan, Zwetsloot Marie, Debernardini, Mariana, O\u2019Sullivan, Lilian,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/iw9cwa"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/iw9cwa", "name": "item", "description": "10.15454/iw9cwa", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/iw9cwa"}, {"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": "10.15454/syp4pe", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:03Z", "type": "Dataset", "title": "CIRCASA DELIVERABLE D2.2: \u201cAssessing barriers and solutions to the implementation of SOC sequestration options\u201d", "description": "Report on the key barriers and solutions for the implementation of SOC sequestration options across different geographic zones and what knowledge gaps need to be filled to overcome barriers.", "keywords": ["Earth and Environmental Science", "Farming Systems and Practices", "Soils and soil sciences", "Agricultural Sciences", "Climate", "Earth and Environmental Sciences", "Soil Sciences", "Food and food processing", "Agricultural and Food Process Engineering", "Agriculture", " Forestry", " Horticulture", "Geosciences", "Farming Systems"]}, "links": [{"href": "https://doi.org/10.15454/syp4pe"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/syp4pe", "name": "item", "description": "10.15454/syp4pe", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/syp4pe"}, {"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": "10.15454/lswrdg", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:03Z", "type": "Dataset", "title": "CIRCASA DELIVERABLE D3.1: \"Strategic Research Agenda (SRA) on Soil Carbon\"", "description": "Research priorities for the alignment of International Research on SOC sequestration in agriculture.", "keywords": ["2. Zero hunger", "Hardware_PERFORMANCEANDRELIABILITY", "Soils and soil sciences", "Agricultural Sciences", "Environmental studies and forestry", "Social Sciences", "ComputingMilieux_GENERAL", "15. Life on land", "Farming Systems", "Farming Systems and Practices", "Hardware_INTEGRATEDCIRCUITS", "13. Climate action", "Earth and Environmental Sciences", "Land Use", "Soil Sciences", "Agriculture", " Forestry", " Horticulture", "Geosciences"]}, "links": [{"href": "https://doi.org/10.15454/lswrdg"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/lswrdg", "name": "item", "description": "10.15454/lswrdg", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/lswrdg"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.15454/mutd4k", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:03Z", "type": "Dataset", "title": "Landmark H2020 dataset", "description": "Open AccessThis dataset corresponds to a list of attributes with metadata produced by the WP2 team of the Landmark H2020 project. This list was compiled based on the requirements of the diagnostic approach and the preferences of Work Package 3 for soil function modeling procedure.The list contains four categories of attributes: 5. \u201cSoil horizon attributes\u201d required to successfully derive diagnostic horizons/properties/materials and qualifiers;6. \u201cSoil attributes\u201d which contain physical/chemical/biological and other derived attributes;7. \u201cEnvironmental attributes\u201d which contain attributes needed to characterize of the surroundings of the soils (eg.: topography, climatic properties);8. \u201cManagement attributes\u201d which contain attributes regarding to management practices (eg.: irrigation, manuring, fertilization, pest control, weed management, grassland management, mechanization). The LANDMARK proposal builds on the concept that soils are a finite resource that provides a range of ecosystem services known as \u201csoil functions\u201d. Functions relating to agriculture include: primary productivity, water regulation purification, carbon-sequestration regulation, habitat for biodiversity and nutrient provision cycling. Tradeoffs between these functions may occur: for example, management aimed at maximising primary production may inadvertently affect the \u2018water purification\u2019 or \u2018habitat\u2019 functions. This has led to conflicting management recommendations and policy initiatives. There is now an urgent need to develop a coherent scientific and practical framework for the sustainable management of soils. LANDMARK will uniquely respond to the breadth of this challenge by delivering (through multi-actor development): 1. LOCAL SCALE: A toolkit for farmers with cost-effective, practical measures for sustainable (and context specific) soil management.2. REGIONAL SCALE - A blueprint for a soil monitoring scheme, using harmonised indicators: this will facilitate the assessment of soil functions for different soil types and land-uses for all major EU climatic zones.3. EU SCALE \u2013 An assessment of EU policy instruments for incentivising sustainable land management.", "keywords": ["Earth and Environmental Science", "Climate", "6. Clean water", "Agriculture", " Forestry", " Horticulture", " Aquaculture", "Soil functions", "12. Responsible consumption", "soil", "Farming Systems and Practices", "11. Sustainability", "13. Climate action", "climate", "Agriculture", " Forestry", " Horticulture", "2. Zero hunger", "Soils and soil sciences", "Agricultural Sciences", "Life Sciences", "15. Life on land", "Farming Systems", "Earth and Environmental Sciences", "Soil Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture and Veterinary Medicine", "Environmental Research", "Natural Sciences", "management", "Geosciences"], "contacts": [{"organization": "Saby, Nicolas P.A., Micheli, Erika, Chenu, Jean-Philippe, Szergi, Tamas, Csorba, Adam, Bertuzzi, Patrick, Toutain, Beno\u00eet, Picaud, Calypso, Creamer, R.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/mutd4k"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/mutd4k", "name": "item", "description": "10.15454/mutd4k", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/mutd4k"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.15454/lv9zrw", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:03Z", "type": "Dataset", "title": "Etude 4pour1000 : Donn\u00e9es mod\u00e8le STICS", "description": "Donn\u00e9es issues des simulations g\u00e9n\u00e9r\u00e9es par le mod\u00e8le STICS dans le cadre de l'\u00e9tude 4p1000.", "keywords": ["Earth and Environmental Science", "Soils and soil sciences", "Agricultural Sciences", "Economics", "Climate", "Social Sciences", "Farming Systems", "Farming Systems and Practices", "Earth and Environmental Sciences", "Soil Sciences", "Forests and Forest Products", "Silviculture", "Agriculture", " Forestry", " Horticulture", "Geosciences"], "contacts": [{"organization": "Launay, Camille, Constantin, Julie, Raynal, H\u00e9l\u00e8ne, Casellas, Eric, Mary, Bruno, Pellerin, Sylvain, Therond, Olivier,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/lv9zrw"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/lv9zrw", "name": "item", "description": "10.15454/lv9zrw", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/lv9zrw"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.15454/oaxqx8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:03Z", "type": "Dataset", "title": "Compilation of data on soil organic carbon stocks and N2O emissions from published long term fields trials", "description": "Open AccessThis dataset was produced within the Landmark project to assess the accuracy of the DEXI climate regulation model. This was done by simulating the response of the soil organic carbon stock or N2O emissions from agricultural soils in long-term experiments (LTEs) and comparing the model outcomes to reported changes. LTEs were chosen because they facilitate the assessment of a range of different management practices on the component parts of the climate regulation function over a decadal timescale. The geographical location of the LTEs was limited to Europe, since the model has been developed specifically to make simulations across Europe. For this purpose, the database constructed by Sand\u00e9n et al. (2018) was used. This database contains publications on 251 European LTEs in which the effect of alternative management practices on soil quality were assessed. From these, 78 LTEs reported on changes in SOC stocks and 40 reported on changes in N2O emission or NO3- leaching. A large portion of these LTEs studied the effect of tillage (n = 18 for N2O, n = 33 for C stocks). As the effect of tillage on these soil properties has been summarized in multiple meta-studies, it was chosen not to run all these studies separately by the model, but instead, model performance was assessed based on these meta-analyses (Luo et al., 2010; Powlson et al., 2014). After excluding studies on the effect of tillage and studies using parameters that are not simulated by the model, the number of studies we retained to test the model was 6 for N2O emissions, 2 for NO3- leaching and 12 for changes in SOC stocks. This includes one additional study on NO3- leaching (Hansen and Djurhuus, 1997) and one on C sequestration (Spiegel et al., 2018) that were added to the dataset. (2019-04-01) Hansen, E. M., and Djurhuus, J. (1997). Nitrate leaching as influenced by soil tillage and catch crop. Soil Tillage Res. 41, 203\u2013219. doi:10.1016/S0167-1987(96)01097-5. Luo, Z., Wang, E., and Sun, O. J. (2010). Can no-tillage stimulate carbon sequestration in agricultural soils? A meta-analysis of paired experiments. Agric. Ecosyst. Environ. 139, 224\u2013231. doi:10.1016/j.agee.2010.08.006. Powlson, D. S., Stirling, C. M., Jat, M. L., Gerard, B. G., Palm, C. A., Sanchez, P. A., et al. (2014). Limited potential of no-till agriculture for climate change mitigation. Nat. Clim. Chang. 4, 678\u2013683. doi:10.1038/nclimate2292. Sand\u00e9n, T., Spiegel, H., St\u00fcger, H.-P., Schlatter, N., Haslmayr, H.-P., Zavattaro, L., et al. (2018). European long-term field experiments: knowledge gained about alternative management practices. Soil Use Manag. 34, 167\u2013176. doi:10.1111/sum.12421. Spiegel, H., Sand\u00e9n, T., Dersch, G., Baumgarten, A., Gr\u00fcndling, R., and Franko, U. (2018). \u201cSoil Organic Matter and Nutrient Dynamics Following Different Management of Crop Residues at Two Sites in Austria,\u201d in Soil Management and Climate Change (Elsevier), 253\u2013265. doi:10.1016/B978-0-12-812128-3.00017-3.", "keywords": ["2. Zero hunger", "Soils and soil sciences", "13. Climate action", "Earth and Environmental Sciences", "Soil Sciences", "15. Life on land", "Geosciences"], "contacts": [{"organization": "Van de Broek, Marijn, Christian Bugge Henriksen, Bhim Bahadur Ghaley, Emanuele Lugato, Vladimir Kuzmanovski, Aneta Trajanov, Taru Sand\u00e9n, Heide Spiegel, Charlotte Decock, Six, johan, Creamer, Rachel,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/oaxqx8"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/oaxqx8", "name": "item", "description": "10.15454/oaxqx8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/oaxqx8"}, {"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": "10.15454/srhcuh", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:03Z", "type": "Dataset", "title": "Science for policy 1: FaST hidden benefits: needs based targeting of cleaner water through better use of nutrients - datasets", "description": "Open AccessThis dataset is part of both Deliverable 4.3 and 5.3 and was produced by the WP4 team of the Landmark H2020 project. It contains the following shapefile: PO1_GAEC5.shp The shapefile gives an estimation of the change in soil function performance across the EU in agricultural soils after implementation of the GAEC5 under the proposed CAP. This spatial variation is represented in change in z-scores compared to the current supply on a NUTS1 level. To implement the scenario, for each crop within each environmental zone the 20% area with the lowest values of the N Cycling indicator are selected from the current SF supply map and this indicator is increased to the lowest values in the other 80% of the same crop \u2013 environmental zone combination. In a second step, for each crop within each environmental zone the 20% area with the lowest values of the water purification indicator from the current SF supply map are selected and this indicator is increased to the lowest values in the other 80% of the crop \u2013 environmental zone combination, while maintaining the N Cycling improvements. This simulates potential improvements in both N Cycling and water purification due to the implementation of the Farm Sustainability Tool for Nutrients (GAEC 5) Z-scores are calculated from the spatial SF maps for each of the NUTS1 zones. The z-scores give the signed fractional number of standard deviations by which SF means for a NUTS1 zone are above or below the mean value and allow us indicate which areas have a higher or lower soil function performance compared to the mean value. Z-scores from the current SF maps and scenario maps were then compared to each other to calculate the change in z-scores. This change in z-scores is given in the shapefiles and describes the relative change in soil function performance. Positive values indicate an improvement in soil functioning compared to the current situation, negative values a decrease. More information regarding calculation and interpretation of both this dataset and the soil function maps used to calculate the z-scores can be found in: Vrebos D., F. Bampa, R. Creamer, A. Jones, E. Lugato, L. O\u2019Sullivan, P. Meire, R.P.O. Schulte, J. Schr\u00f6der and J. Staes (2018). Scenarios maps: visualizing optimized scenarios where supply of soil functions matches demands. LANDMARK Report 4.3. and Jones A. et al. (2019). An options document to propose future policy tools for functional soil management. LANDMARK 5.3. All available from www.landmark2020.eu.", "keywords": ["2. Zero hunger", "Water resources", "Soils and soil sciences", "Agricultural Sciences", "6. Clean water", "Hydrology and Hydrogeology", "15. Life on land", "Farming Systems", "12. Responsible consumption", "Farming Systems and Practices", "13. 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