{"type": "FeatureCollection", "features": [{"id": "10.5194/acp-10-7017-2010", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:20:08Z", "type": "Journal Article", "created": "2010-04-29", "description": "<p>Abstract. We present and discuss a new dataset of gridded emissions covering the historical period (1850\uffe2\uff80\uff932000) in decadal increments at a horizontal resolution of 0.5\uffc2\uffb0 in latitude and longitude. The primary purpose of this inventory is to provide consistent gridded emissions of reactive gases and aerosols for use in chemistry model simulations needed by climate models for the Climate Model Intercomparison Program #5 (CMIP5) in support of the Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5). Our best estimate for the year 2000 inventory represents a combination of existing regional and global inventories to capture the best information available at this point; 40 regions and 12 sectors are used to combine the various sources. The historical reconstruction of each emitted compound, for each region and sector, is then forced to agree with our 2000 estimate, ensuring continuity between past and 2000 emissions. Simulations from two chemistry-climate models is used to test the ability of the emission dataset described here to capture long-term changes in atmospheric ozone, carbon monoxide and aerosol distributions. The simulated long-term change in the Northern mid-latitudes surface and mid-troposphere ozone is not quite as rapid as observed. However, stations outside this latitude band show much better agreement in both present-day and long-term trend. The model simulations indicate that the concentration of carbon monoxide is underestimated at the Mace Head station; however, the long-term trend over the limited observational period seems to be reasonably well captured. The simulated sulfate and black carbon deposition over Greenland is in very good agreement with the ice-core observations spanning the simulation period. Finally, aerosol optical depth and additional aerosol diagnostics are shown to be in good agreement with previously published estimates and observations.                         </p>", "keywords": ["info:eu-repo/classification/ddc/550", "550", "IPCC", "[SDE.MCG]Environmental Sciences/Global Changes", "Physics", "QC1-999", "emissions", "551", "01 natural sciences", "7. Clean energy", "J", "[SDE.MCG] Environmental Sciences/Global Changes", "Chemistry", "13. Climate action", "[SDE.ES] Environmental Sciences/Environment and Society", "CMIP5", "[SDE.ES]Environmental Sciences/Environment and Society", "QD1-999", "AR5", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://pure.iiasa.ac.at/id/eprint/9279/1/acp-10-7017-2010.pdf"}, {"href": "http://pure.iiasa.ac.at/id/eprint/9279/1/acp-10-7017-2010.pdf"}, {"href": "https://doi.org/10.5194/acp-10-7017-2010"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/acp-10-7017-2010", "name": "item", "description": "10.5194/acp-10-7017-2010", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/acp-10-7017-2010"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2010-02-19T00:00:00Z"}}, {"id": "10.5194/bg-15-1933-2018", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:20:10Z", "type": "Journal Article", "created": "2017-11-21", "title": "Straw incorporation increases crop yield and soil organic carbon sequestration but varies under different natural conditions and farming practices in China: a system analysis", "description": "<p>Abstract. Loss of soil organic carbon (SOC) from agricultural soils is a key indicator of soil degradation associated with reductions in net primary productivity in crop production systems worldwide. Simple technical and locally appropriate solutions are required for farmers to increase SOC and to improve cropland management. In the last 30 years, straw incorporation has gradually been implemented across China in the context of agricultural intensification and rural livelihood improvement. A meta-analysis of data published before the end of 2016 was undertaken to investigate the effects of straw incorporation on crop production and SOC sequestration. The results of 68 experimental studies throughout China in different edaphic, climate regions and under different farming regimes were analyzed. Compared with straw removal, straw incorporation significantly sequestered SOC (0\uffe2\uff80\uff9320\uffe2\uff80\uff89cm depth) at the rate of 0.35 (range 0.31\uffe2\uff80\uff930.40)\uffe2\uff80\uff89Mg C\uffe2\uff80\uff89ha\uffe2\uff88\uff921\uffe2\uff80\uff89yr\uffe2\uff88\uff921, increased crop grain yield by 13.4\uffe2\uff80\uff89% (range 9.3\uffe2\uff80\uff89%\uffe2\uff80\uff9318.4\uffe2\uff80\uff89%) and had a conversion efficiency of the applied straw-C as 16\uffe2\uff80\uff89%\uffe2\uff80\uff89\uffc2\uffb1\uffe2\uff80\uff892\uffe2\uff80\uff89% across the whole of China. The combined straw incorporation at the rate of 3\uffe2\uff80\uff89Mg C\uffe2\uff80\uff89ha\uffe2\uff88\uff921\uffe2\uff80\uff89yr\uffe2\uff88\uff921 with mineral fertilizer of 200\uffe2\uff80\uff93400\uffe2\uff80\uff89kg N\uffe2\uff80\uff89ha\uffe2\uff88\uff921\uffe2\uff80\uff89yr\uffe2\uff88\uff921 was demonstrated to be the best combination for farmers to use with crop yield increased by 32.7\uffe2\uff80\uff89% (range 17.9\uffe2\uff80\uff89%\uffe2\uff80\uff9356.4\uffe2\uff80\uff89%) and SOC sequestrated by the rate of 0.85 (range 0.54\uffe2\uff80\uff931.15)\uffe2\uff80\uff89Mg C\uffe2\uff80\uff89ha\uffe2\uff88\uff921\uffe2\uff80\uff89yr\uffe2\uff88\uff921. Straw incorporation achieved higher SOC sequestration rate and crop yield increment when applied to clay soils, under high cropping intensities, and in areas like Northeast China where the soil is being degraded. SOC responses were the greatest in the initial starting phase of straw incorporation and then declined and finally were negligible after 28\uffe2\uff80\uff9362 years, however, crop yield responses were initially low and then increased reaching their highest level at 11\uffe2\uff80\uff9315 years after straw incorporation. Overall, our study confirmed that straw incorporation did create a positive feedback loop of SOC enhancement together with increased crop production, and this is of great practical significance to straw management as agricultural intensifies in China and other regions in the world with different climate conditions.                         </p>", "keywords": ["2. Zero hunger", "QE1-996.5", "info:eu-repo/classification/ddc/550", "Ecology", "Life", "QH501-531", "0401 agriculture", " forestry", " and fisheries", "Geology", "04 agricultural and veterinary sciences", "15. Life on land", "QH540-549.5"]}, "links": [{"href": "https://doi.org/10.5194/bg-15-1933-2018"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-15-1933-2018", "name": "item", "description": "10.5194/bg-15-1933-2018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-15-1933-2018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-11-21T00:00:00Z"}}, {"id": "10.5281/zenodo.15400134", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:21:05Z", "type": "Dataset", "title": "Genomic and functional adaptation of Aristotelia chilensis across the Atacama\u2013Patagonia aridity gradient", "description": "The dataset supermatrix4.csv compiles comprehensive individual-level data for Aristotelia chilensis, a native Chilean tree species, sampled along a pronounced latitudinal aridity gradient. It comprises 225 rows (individual plants) and 51 columns (variables), integrating ecological, morphological, physiological, and environmental information. Each row represents a unique individual annotated with population and genetic cluster identifiers, spatial coordinates (latitude, longitude, altitude), and an array of functional and structural traits.  Functional traits include critical photo-inactivation water content (a drought tolerance proxy), specific leaf area (SLA), and root-to-shoot biomass ratio, all of which are central to plant water-use strategies and growth efficiency. Morphometric traits\u2014such as stem diameter, plant height, number of stems, canopy width (maximum and minimum), and canopy exposure\u2014describe above-ground architectural variation. Physiological attributes include anthocyanin and phenolic concentrations, antioxidant capacity estimated via ABTS and DPPH radical scavenging assays, and germination percentage. These measures provide insight into chemical defense mechanisms and reproductive performance.  Environmental predictors were extracted using point-based values corresponding to the coordinates of each sampled population, sourced from globally recognized high-resolution datasets due to their relevance to plant eco-physiology. The Aridity Index (AI), a key proxy for water availability, was calculated as the ratio of annual precipitation to potential evapotranspiration (AI = PPT / PET), following Fisher et al. (2011). Climatic variables include mean annual precipitation (PPT) and a suite of bioclimatic variables (BIO1\u2013BIO19) from the CHELSA dataset, which provides fine-resolution climatologies suitable for ecological modeling (Karger et al., 2017). Potential evapotranspiration (PET), a metric for atmospheric water demand, was also derived from the methods of Fisher et al. (2011). In addition, UV-B radiation values were extracted from the glUV dataset, which offers spatially explicit estimates of biologically effective ultraviolet exposure (Beckmann et al., 2014).  Soil (edaphic) variables were obtained from the SoilGrids 2.0 global database (Poggio et al., 2021), including soil texture fractions (sand, silt, clay), water retention capacity, and a set of nutrient and structural properties such as nitrogen content, soil organic carbon (SOC), cation exchange capacity (CEC), and the proportion of coarse fragments. These variables support fine-scale trait\u2013environment analyses and help evaluate potential adaptive responses across heterogeneous climatic and soil gradients. The dataset is well-suited for integrative ecological and evolutionary research, enabling analyses of the interaction between genomic variation, phenotypic traits, and abiotic selective pressures.  The accompanying maqui.vcf file contains genomic variant data in VCF v4.2 format, generated using BBMap v38.69. It includes 2,356 high-quality single nucleotide polymorphisms (SNPs) detected across 188 diploid individuals of A. chilensis, aligned to the Aristotelia chilensis v1.0 reference genome. Variant calling was based on 415,851,949 reads, with an average read length of 138.41 bp, an average total base quality of 39.99, and a mean mapping quality (MAPQ) of 41.03. SNPs are distributed across at least 37 reference contigs, ranging from approximately 63,940 to 113,184 base pairs in length. Genotypes are encoded in standard VCF format and include quality metrics per sample. This dataset enables population genomics analyses, including assessments of genetic structure, differentiation, and genotype\u2013environment associations.  Funding Statement  This work was supported by Fundacion para la Innovaci\u00f3n Agraria (grant PYT-2018-0138).  References  Beckmann, M. et al. (2014). glUV: a global UV-B radiation data set for macroecological studies. Methods in Ecology and Evolution 5, 372\u2013383.  Fisher, J.B., Whittaker, R.J. & Malhi, Y. (2011). ET come home: potential evapotranspiration in geographical ecology. Global Ecology and Biogeography 20, 1\u201318.Karger, D.N. et al. (2017). Climatologies at high resolution for the Earth's land surface areas. Scientific Data 4, 170122.Poggio, L. et al. (2021). SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty. Soil 7, 217\u2013240.", "keywords": ["Aristotelia chilensis", "Nutraceuticals", "Chile"], "contacts": [{"organization": "Blinded", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15400134"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15400134", "name": "item", "description": "10.5281/zenodo.15400134", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15400134"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-05-14T00:00:00Z"}}, {"id": "10.5281/zenodo.6202061", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:21:26Z", "type": "Dataset", "title": "Bias-corrected EURO-CORDEX RCM simulations for the OPTAIN case studies", "description": "Open AccessBias-corrected EURO-CORDEX RCM simulations are available on a daily timescale for: -period 1981-2099/2100, -6 RCM, -3 scenarios (RCPs 2.6, 4.5 and 8.5), -7 variables (mean, minimum and maximum temperature, precipitation, solar radiation, wind speed at 2 m and relative humidity) and -18 domains and 23 locations within these domains. Bias correction and further downscaling to 0.1\ufffd\ufffd was done using ERA5-Land reanalysis data with non-parametric empirical quantile mapping. Moreover, the interpolation of gridded bias-corrected climate model simulations to the locations was made using universal kriging. <strong>Organization of the data</strong> The name of the files are <em>domain</em>-<em>type</em>.zip, where <em>type</em> is gridded (NetCDF) or point (csv). Each zip file contains multiple files, organized in subfolders: <em>experiment</em>/<em>modelNumber</em>/<em>variable</em>.nc for gridded and <em>experiment</em>/<em>modelNumber</em>/<em>variable-pilotFieldNumber</em>.txt for point data, where <em>experiment </em>is rcp26, rcp45 or rcp85. <em>domain and pilotFieldNumber</em> <strong>domain</strong> <strong>domain </strong><strong>location (min and max. Longitude, min and max latitude</strong><strong>)</strong> <strong>pilotFieldNumber</strong> <strong>pilot field </strong><strong>location (longitude, latitude)</strong> <strong>case study</strong><strong> number</strong> <strong>country</strong> <strong>Name (OPTAIN case study)</strong> 01 50.95 51.45 14.55 15.05 1 DEU Schoeps 02 46.35 47.05 6.55 7.15 2 46.816667 6.95 2 CHE Petite Glane 02_1 46.75 47.25 7.25 7.75 1 46.983333 7.466667 02_34 47.35 47.85 8.35 3 4 47.433333 8.516667 47.683333 8.616667 02_5 46.15 46.65 5.95 6.45 5 46.4 6.233333 03a 46.65 47.15 17.45 17.95 1 2 3 4 46.92649 17.68246 46.9166 17.68976 46.91283 17.69754 46.91283 17.69723 3a HUN Csorsza 03b 46.45 46.95 16.65 17.15 3b HUN Felso Valicka 04 52.35 52.85 18.45 18.95 1 52.597469 18.728617 4 POL Upper Zglowiaczka 05 46.35 46.85 15.35 15.85 5 SVN Pesnica 06 46.45 46.95 16.15 16.65 6 HUN/SVN Kebele/Kobiljski 07 49.85 50.35 4.75 5.25 7 BEL La Wimbe 08 55.15 55.75 23.55 24.05 1 2 55.522057 23.799235 55.42233194 23.82580339 8 LTU Dotnuvele 09 45.45 45.95 9.65 10.15 9 ITA Cherio 10 59.45 59.95 10.75 11.25 1 2 3 4 5 6 7 8 59.71949 10.83576 59.6833306 10.8833298 59.6833306 10.8833298 59.665 10.9475 59.665 10.9475 59.841012 10.903597 59.757631 11.072031 59.539623 10.856447 10 NOR Krogstad 11 46.45 46.95 17.55 18.05 1 2 46.658333 17.75583 46.656944 17.75833 11 HUN Tetves 12 49.35 49.85 14.75 15.25 1 49.616837 15.078266 12 CZE Cechticky 13 55.85 56.35 25.85 26.45 13 LVA Dviete 14 59.75 60.25 17.55 18.05 14 SWE Ingvastaan Lehstaan <em>modelNumber</em> <strong>modelNumber</strong> <strong>Driving Model (GCM)</strong> <strong>Ensemble</strong> <strong>RCM </strong> <strong>End date</strong> 1 EC-EARTH r12i1p1 CCLM4-8-17 31.12.2100 2 EC-EARTH r3i1p1 HIRHAM5 31.12.2100 3 HadGEM2-ES r1i1p1 HIRHAM5 30.12.2099 4 HadGEM2-ES r1i1p1 RACMO22E 30.12.2099 5 HadGEM2-ES r1i1p1 RCA4 30.12.2099 6 MPI-ESM-LR r2i1p1 REMO2009 31.12.2100 <em>variable</em> <strong>variable</strong> <strong>description</strong> <strong>Unit</strong> Tmean Mean temperature \ufffd\ufffdC Tmin Min temperature \ufffd\ufffdC Tmax Max temperature \ufffd\ufffdC prec Precipitation mm solarRad Solar radiation MJ/m2 windSpeed Wind speed at 2m m/s relHum Relative humidity % <strong>Methodolody</strong> Bias correction was done using non-parametric empirical quantile mapping with modified method from R package qmap. Parameters selected were: corrections for each day of the year using a moving windows for a 31 days; 100 quantiles; wet days corrections for precipitation. The reference period is 1981-2010. The interpolation of gridded bias-corrected climate model simulations to the location was made using universal kriging with R packages automap and gstat with (external) variables x, y, x2, y2, x*y, z, where x is latitude, y is longitude, and z is elevation. For Digital Elevation Model Shuttle Radar Topography Mission was used. If there was an error using above mentioned variables, the number of variables was reduced to x, y, x*y, z and if there was still an error to x, y, z. <strong>Funding</strong> This project has received funding from the European Union\ufffd\ufffd\ufffds Horizon 2020 research and innovation programme under grant agreement No 862756.", "keywords": ["CORDEX", "13. Climate action", "RCM", "ERA5-Land", "OPTAIN", "EURO-CORDEX", "bias correction"], "contacts": [{"organization": "Honzak, Luka", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6202061"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6202061", "name": "item", "description": "10.5281/zenodo.6202061", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6202061"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-02-21T00:00:00Z"}}, {"id": "10.5281/zenodo.8407642", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:21:41Z", "type": "Report", "title": "Shedding light on the genetic diversity and evolutionary dynamics of geographic populations of Wisteria vein mosaic virus: a case study for the spread of emerging potyviruses in Europe?", "description": "Wisteria vein mosaic virus (WVMV) is a member of the genus Potyvirus associated with Wisteria mosaic disease (WMD), the most serious disease affecting Wisteria spp. In 2022, severe symptoms of WMD were observed on the leaves of a Chinese wisteria (W. sinensis) tree growing in an urban area in Apulia (Italy). The presence of WVMV was ascertained by RT-PCR analysis. Although the occurrence of WVMV in Italy had been posited in the late 1960s, no molecular information had been reported for any Italian isolate prior to this study. Subsequent phylogenetic analyses based on NIb and CP genes placed the WVMV Italian isolate within a large clade identified in the genus Potyvirus as the BCMV supergroup. Based on the increasing number of reports of the virus worldwide, we attempted an exploratory analysis of its genetic diversity and possible mechanisms that may have shaped its geographic population structure. Relying on the N-terminus of the CP, available for twenty WVMV isolates from Europe, Asia, and Oceania, sixteen different haplotypes were identified. A high haplotype diversity was found, particularly relevant in the European population. The measured dN/dS ratio led to the assumption that the target region is under purifying selection. Tests evaluating the neutrality of nucleotide variability showed different results for the European and Asian groups. The estimation of inter-population genetic differentiation showed a high level of gene flow between the two populations. Overall, our results provide a possible approach to understanding the mechanisms of WVMV emergence in Europe and draw attention to its further spread and the increasing threat of this and other neglected potyvirus species to the ornamental nursery sector.", "keywords": ["WVMV; selection pressure; population genetics; genetic diversity; gene flow; haplotype diversity; neutrality tests; FastME phylogeny", "3. Good health"], "contacts": [{"organization": "G. D'Attoma, A. Minafra", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.8407642"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.8407642", "name": "item", "description": "10.5281/zenodo.8407642", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.8407642"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-09-18T00:00:00Z"}}, {"id": "1F20D517-4F12-4194-B9EC-544A45676839", "type": "Feature", "geometry": null, "properties": {"updated": "2020-02-11T00:00:00Z", "type": "Dataset", "language": "de", "title": "Boden\u00fcbersichtskarte 1:200.000 (B\u00dcK200) - CC7110 Mannheim", "description": "Die Boden\u00fcbersichtskarte 1:200.000 (B\u00dcK200) wird von der Bundesanstalt f\u00fcr Geowissenschaften und Rohstoffe (BGR) in Zusammenarbeit mit den Staatlichen Geologischen Diensten (SGD) der Bundesl\u00e4nder im Blattschnitt der Topographischen \u00dcbersichtskarte 1:200.000 (T\u00dcK200) erarbeitet und in 55 einzelnen Kartenbl\u00e4ttern herausgegeben. Die digitale, blattschnittfreie Datenhaltung bildet eine detaillierte, bundesweit einheitliche und fl\u00e4chendeckende Informationsgrundlage f\u00fcr L\u00e4nder \u00fcbergreifende Aussagen zu Bodennutzung und Bodenschutz. \u00dcber den aktuellen Bearbeitungsstand des Kartenwerks informieren die Internetseiten der BGR zum Thema Boden. Die Verbreitung und Vergesellschaftung der B\u00f6den auf dem Gebiet dieses Kartenblattes wird anhand von 97 Legendeneinheiten (gegliedert nach Bodenregionen und Bodengro\u00dflandschaften) beschrieben. Jede Legendeneinheit beinhaltet bodensystematische Informationen (Bodensubtyp) und Informationen zum Bodenausgangsgestein sowohl f\u00fcr die Leitb\u00f6den als auch f\u00fcr deren Begleiter. Im Rahmen der Qualit\u00e4tssicherung wurde die Linienf\u00fchrung der Bodengrenzen im gesamten Blattgebiet verbessert (Stand 12. Juli 2016).", "formats": [{"name": "PDF"}], "keywords": ["ackerbauliches-ertragspotential", "baden-wu\u0308rttemberg", "boden", "bodenart", "bodenausgangsgestein", "bodenauslaugung", "bodenbearbeitung", "bodenbelastung", "bodenbildung", "bodenbiologie", "bodenchemie", "bodendegradation", "bodendekontamination", "bodeneigenschaften", "bodenerosion", "bodenfeuchtigkeit", "bodenform", "bodenfruchtbarkeit", "bodenfunktion", "bodengefu\u0308ge", "bodengesellschaft", "bodengestaltung", "bodengruppe", "bodengu\u0308te", "bodenhorizont", "bodeninformationssystem", "bodenkarte", "bodenluft", "bodenmechanik", "bodenmineralogie", "bodennutzbarkeit", "bodennutzung", "bodenphysikalische-eigenschaften", "bodenprofil", "bodenskelett", "bodensubstrat", "bodensystematik", "bodentyp", "bodenverbreitung", "de", "durchla\u0308ssigkeit", "effektive-durchwurzelungstiefe", "fachinformationssystem", "hessen", "mannheim", "opendata", "rheinland-pfalz", "saarland", "soil"], "contacts": [{"organization": "Bundesanstalt f\u00fcr Geowissenschaften und Rohstoffe (BGR)", "roles": ["creator"]}]}, "links": [{"href": "https://download.bgr.de/bgr/Boden/BUEK200/7110/jpg/buek200_7110.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/7110/pdf/buek200_7110.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/7110/png/buek200_7110.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/7110/shp/buek200_7110.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/7110/tiff/buek200_7110.zip"}, {"href": "http://data.europa.eu/88u/dataset/1f20d517-4f12-4194-b9ec-544a45676839"}, {"rel": "self", "type": "application/geo+json", "title": "1F20D517-4F12-4194-B9EC-544A45676839", "name": "item", "description": "1F20D517-4F12-4194-B9EC-544A45676839", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1F20D517-4F12-4194-B9EC-544A45676839"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "10.1016/j.envpol.2021.116827", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:16:02Z", "type": "Journal Article", "created": "2021-03-09", "title": "Cocktails of pesticide residues in conventional and organic farming systems in Europe \u2013 Legacy of the past and turning point for the future", "description": "<p>&amp;lt;p&amp;gt;Considering that pesticides have been used in Europe for over 70 years, a system for monitoring pesticide residues in EU soils and their effects on soil health is long overdue. In an attempt to address this problem, we tested 340 EU agricultural topsoil samples for multiple pesticide residues. These samples originated from 4 representative EU case study sites (CSS), which covered 3 countries and four of the main EU crops: vegetable and orange production in Spain (S-V and S-O, respectively), grape production in Portugal (P-G), and potato production in the Netherlands (N-P). Soil samples were collected between 2015 and 2018 after harvest or before the start of the growing season, depending on the CSS. Conventional and organic farming results were compared in S-V, S-O and N-P. Soils from conventional farms presented mostly mixtures of pesticide residues, with a maximum of 16 residues/sample. Soils from organic farms had significantly fewer residues, with a maximum of 5 residues/sample. The residues with the highest frequency of detection and the highest content in soil were herbicides: glyphosate and its main metabolite AMPA (P-G, N-P, S-O), and pendimethalin (S-V). Total residue content in soil reached values of 0.8 mg kg-1 for S-V, 2 mg kg-1 for S-O and N-P, and 12 mg kg-1 for P-G. Organic soils presented 70-90% lower residue concentrations than the corresponding conventional soils. There is a severe knowledge gap concerning the effects of the accumulated and complex mixtures of pesticide residues found in soil on soil biota and soil health. Safety benchmarks should be defined and introduced into (soil) legislation as soon as possible. Soil remediation techniques should be developed to keep the levels of pesticide residues below such benchmarks. Furthermore, the process of transitioning to organic farming should take into consideration the residue mixtures and their residence time in soil. &amp;amp;#160;&amp;lt;/p&amp;gt;</p>", "keywords": ["2. Zero hunger", "Organic Agriculture", "Portugal", "Pesticide Residues", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "EU agricultural soils", "Europe", "Soil", "Mixtures of pesticide residues", "Spain", "13. Climate action", "Mixtures of pesticide residues; EU agricultural soils Organic", " conventional farming", "Soil Pollutants", "0401 agriculture", " forestry", " and fisheries", "Organic and conventional farming", "Netherlands"]}, "links": [{"href": "https://doi.org/10.1016/j.envpol.2021.116827"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Pollution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.envpol.2021.116827", "name": "item", "description": "10.1016/j.envpol.2021.116827", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.envpol.2021.116827"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-03T00:00:00Z"}}, {"id": "10.1002/biot.202000165", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:14:29Z", "type": "Journal Article", "created": "2020-10-21", "title": "Engineering Native and Synthetic Pathways in Pseudomonas putida for the Production of Tailored Polyhydroxyalkanoates", "description": "Abstract<p>Growing environmental concern sparks renewed interest in the sustainable production of (bio)materials that can replace oil\uffe2\uff80\uff90derived goods. Polyhydroxyalkanoates (PHAs) are isotactic polymers that play a critical role in the central metabolism of producer bacteria, as they act as dynamic reservoirs of carbon and reducing equivalents. PHAs continue to attract industrial attention as a starting point toward renewable, biodegradable, biocompatible, and versatile thermoplastic and elastomeric materials. Pseudomonas species have been known for long as efficient biopolymer producers, especially for medium\uffe2\uff80\uff90chain\uffe2\uff80\uff90length PHAs. The surge of synthetic biology and metabolic engineering approaches in recent years offers the possibility of exploiting the untapped potential of Pseudomonas cell factories for the production of tailored PHAs. In this article, an overview of the metabolic and regulatory circuits that rule PHA accumulation in Pseudomonas putida is provided, and approaches leading to the biosynthesis of novel polymers (e.g., PHAs including nonbiological chemical elements in their structures) are discussed. The potential of novel PHAs to disrupt existing and future market segments is closer to realization than ever before. The review is concluded by pinpointing challenges that currently hinder the wide adoption of bio\uffe2\uff80\uff90based PHAs, and strategies toward programmable polymer biosynthesis from alternative substrates in engineered P. putida strains are proposed.</p>", "keywords": ["0301 basic medicine", "2. Zero hunger", "0303 health sciences", "Biopolymer", "PHA", "Pseudomonas putida", "Polyhydroxyalkanoates", "Carbon", "12. Responsible consumption", "03 medical and health sciences", "/dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy; name=SDG 7 - Affordable and Clean Energy", "Metabolic Engineering", "Pseudomonas", "Pathway engineering", "Metabolic engineering", "Synthetic biology"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1002/biot.202000165"}, {"href": "https://doi.org/10.1002/biot.202000165"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biotechnology%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/biot.202000165", "name": "item", "description": "10.1002/biot.202000165", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/biot.202000165"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-11-09T00:00:00Z"}}, {"id": "10.1016/j.expthermflusci.2020.110215", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:16:04Z", "type": "Journal Article", "created": "2020-07-07", "title": "Visualization and measurements of shock waves in cavitating flow", "description": "Abstract   Upon cavitation cloud collapse an omnidirectional shock wave is emitted. It then travels through the flow field, causing a cascade of events resulting in erosion, noise, vibration and the cavitation shedding process.  Despite that the accumulated data points evidently to the presence of the shock waves, the direct measurements hardly exist - and even then, they are very expensive and time consuming to perform.  In the present paper, the possibility of detecting shock waves inside cavitating flow is shown.  The methodology bases on using two conventional high speed cameras. With the first one cavitating flow from a distance is observed, determining the position of the wave, while the second camera with a microscopic lens enables a close-up view to determine the number and size change of air bubbles as a shock wave passed them. By calibration and reference measurements the amplitude of the shock waves was determined.  This relatively simple approach enabled the first observation of shockwaves which occur at the cavitation cloud collapse (downstream of the attached cavity). Several examples of shock wave dynamics are shown and how they influence the general cavitation cloud behaviour. Shock wave front velocities and local pressure waves caused by cloud collapse were estimated from visualization, reaching values to more than 700 m/s and over 5 MPa respectively.", "keywords": ["kavitacija", "visokofrekven\u010dno snemanje", "0404 agricultural biotechnology", "cavitation", "13. Climate action", "kolaps kavitacijskega oblaka", "shock waves", "cloud collapse", "04 agricultural and veterinary sciences", "udarni valovi", "info:eu-repo/classification/udc/532.528(045)", "0405 other agricultural sciences", "high speed video"]}, "links": [{"href": "https://doi.org/10.1016/j.expthermflusci.2020.110215"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Experimental%20Thermal%20and%20Fluid%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.expthermflusci.2020.110215", "name": "item", "description": "10.1016/j.expthermflusci.2020.110215", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.expthermflusci.2020.110215"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-11-01T00:00:00Z"}}, {"id": "10.1016/j.jenvman.2023.118532", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:16:26Z", "type": "Journal Article", "created": "2023-07-14", "title": "Predicting spatiotemporal soil organic carbon responses to management using EPIC-IIASA meta-models", "description": "The management of Soil Organic Carbon (SOC) is a critical component of both nature-based solutions for climate change mitigation and global food security. Agriculture has contributed substantially to a reduction in global SOC through cultivation, thus there has been renewed focus on management practices which minimize SOC losses and increase SOC gain as pathways towards maintaining healthy soils and reducing net greenhouse gas emissions. Mechanistic models are frequently used to aid in identifying these pathways due to their scalability and cost-effectiveness. Yet, they are often computationally costly and rely on input data that are often only available at coarse spatial resolutions. Herein, we build statistical meta-models of a multifactorial crop model in order to both (a) obtain a simplified model response and (b) explore the biophysical determinants of SOC responses to management and the geospatial heterogeneity of SOC dynamics across Europe. Using 5600 unique simulations of crop growth from the gridded Environmental Policy Integrated Climate-based Gridded Agricultural Model (EPIC-IIASA GAM) covering 86,000 simulation units across Europe, we build multiple polynomial regression ensemble meta-models for unique combinations of climate and soil across Europe in order to predict SOC responses to varying management intensities. We find that our biophysically-explicit meta models are highly accurate (R2\u00a0=\u00a00.97) representations of the full mechanistic model and can be used in lieu of the full EPIC-IIASA GAM model for the estimation of SOC responses to cropland management. Model stratification by means of climate and soil clustering improved the performance of the meta-models compared to the full EU-scale model. In regional and local validations of the meta-model predictions, we find that the meta-models largely capture broad SOC dynamics such as the linear nature of SOC responses to residue application, yet they often underestimate the magnitude of SOC responses to management. Furthermore, we find notable differences between the results from the biophysically-specific models throughout Europe, which point to spatially-distinct SOC responses to management choices such as nitrogen fertilizer application rates and residue retention that illustrate the potential for these models to be used for future management applications. While more accurate input data, calibration, and validation will be needed to accurately predict SOC change, we demonstrate the use of our meta-models for biophysical cluster and field study scale analyses of broad SOC dynamics with basically zero fine-tuning of the models needed. This work provides a framework for simplifying large-scale agricultural models and identifies the opportunities for using these meta-models for assessing SOC responses to management at a variety of scales.", "keywords": ["2. Zero hunger", "Europe", "Soil", "Carbon Sequestration", "Models", " Statistical", "550", "13. Climate action", "11. Sustainability", "Agriculture", "15. Life on land", "630", "Carbon"]}, "links": [{"href": "https://pure.iiasa.ac.at/id/eprint/18928/1/Ippolito_et_al_manuscript_clean.pdf"}, {"href": "https://doi.org/10.1016/j.jenvman.2023.118532"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Environmental%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jenvman.2023.118532", "name": "item", "description": "10.1016/j.jenvman.2023.118532", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jenvman.2023.118532"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-01T00:00:00Z"}}, {"id": "50|r3c4b2081b22::737721c72be4914be28173a47c624510", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:23:52Z", "type": "Dataset", "title": "HpnV - HpnV Standorteigenschaft Klimamerkmal - OGC WFS Interface", "description": "Open AccessVegeta\u021bia natural\u0103 poten\u021bial\u0103 de ast\u0103zi: HPNV Proprietatea loca\u021biei Caracteristic\u0103 climatic\u0103", "keywords": ["Vegetation", "potentielle", "LfU", "heutige", "Pflanzen", "nat\u00fcrliche", "infoFeatureAccessService"]}, "links": [{"href": "https://doi.org/50|r3c4b2081b22::737721c72be4914be28173a47c624510"}, {"rel": "self", "type": "application/geo+json", "title": "50|r3c4b2081b22::737721c72be4914be28173a47c624510", "name": "item", "description": "50|r3c4b2081b22::737721c72be4914be28173a47c624510", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/50|r3c4b2081b22::737721c72be4914be28173a47c624510"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-09-10T00:00:00Z"}}, {"id": "10.1016/j.cej.2020.125389", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:15:50Z", "type": "Journal Article", "created": "2020-05-08", "title": "Anomalies detected during hydrodynamic cavitation when using salicylic acid dosimetry to measure radical production", "description": "Abstract   Cavitation used to be associated with negative outcomes in hydraulic turbomachinery but nowadays it is often used for water cleaning, microorganism\u2019s destruction and degradation of organic compounds. This study investigated the amount of  OH formed during hydrodynamic cavitation using salicylic acid dosimetry. The radical\u2019s amount was evaluated by quantifying the concentration of 2,3-dihydroxybenzoic acid, catechol and 2,5-dihydroxybenzoic acid. Two concentrations of the dosimeter in tap water were investigated, 50 and 300\u00a0mg L\u22121 (pH approx. 2.5). After 90\u00a0min of cavitation using a Venturi constriction a sum of the three products was determined at 0.97\u00a0\u00b5g\u00a0mL\u22121 and 1.81\u00a0\u00b5g\u00a0mL\u22121, respectively. However, during the investigation the anomalies were detected in the cavitation development when higher concentration of salicylic acid was used \u2013 cavitation appeared more gentle, with less intense collapses, unrelated to the one in pure water. Detailed observations of cavitation and additional bubble dynamics simulations revealed that the decreased surface tension of the acidified salicylic acid solution is the most influential physical characteristic. Further experiments on nucleation and coalescence showed that high concentration of salicylic acid also leads to longer stability of the bubbles and prevents their coalescence due to short-range repulsive forces (steric hindrance), which results in less violent bubble collapse. We also discuss the importance of an appropriate amount of the dosimeter for correct evaluation of  OH production in a given cavitation device (50\u00a0mg L\u22121 for the present one). This is essential for further cavitation exploitation studies to avoid false interpretation of the gathered results.", "keywords": ["coalescence", "dozimetrija salicilne kisline", "koalescenca", "nukleacija", "nucleation", "anomalije", "04 agricultural and veterinary sciences", "info:eu-repo/classification/udc/532.528(045)", "6. Clean water", "kavitacija", "salicylic acid dosimetry", "0404 agricultural biotechnology", "cavitation", "fizikalne lastnosti", "physical characteristics", "anomalies", "0405 other agricultural sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.cej.2020.125389"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Chemical%20Engineering%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.cej.2020.125389", "name": "item", "description": "10.1016/j.cej.2020.125389", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.cej.2020.125389"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-09-01T00:00:00Z"}}, {"id": "10.1016/j.expthermflusci.2022.110651", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:16:04Z", "type": "Journal Article", "created": "2022-03-26", "title": "Characterization of jet parameters related to cavitation bubble dynamics in a vicinity of a flat liquid\u2013liquid interface", "description": "Open AccessAbstract.", "keywords": ["mehur\u010dki", "liquid\u2013liquid interface", "04 agricultural and veterinary sciences", "meja med dvema teko\u010dinama", "cavitation", " liquid-liquid interface", " bubbles", " jet", " anisotropy parameter", "bubbles", "kavitacija", "curek teko\u010dine", "info:eu-repo/classification/udc/532.528", "kavitacija", " meja med dvema teko\u010dinama", " mehur\u010dki", " curek teko\u010dine", " anizotropi\u010dni parameter", "anisotropy parameter", "0404 agricultural biotechnology", "cavitation", "jet", "info:eu-repo/classification/udc/532", "anizotropi\u010dni parameter", "0405 other agricultural sciences"], "contacts": [{"organization": "Orthaber, Uro\u0161, Dular, Matev\u017e, Petkov\u0161ek, Rok,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.expthermflusci.2022.110651"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Experimental%20Thermal%20and%20Fluid%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.expthermflusci.2022.110651", "name": "item", "description": "10.1016/j.expthermflusci.2022.110651", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.expthermflusci.2022.110651"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-08-01T00:00:00Z"}}, {"id": "10.3390/genes15010107", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:19:39Z", "type": "Journal Article", "created": "2024-01-16", "title": "Structural and Functional Shifts in the Microbial Community of a Heavy Metal-Contaminated Soil Exposed to Short-Term Changes in Air Temperature, Soil Moisture and UV Radiation", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The interplay between metal contamination and climate change may exacerbate the negative impact on the soil microbiome and, consequently, on soil health and ecosystem services. We assessed the response of the microbial community of a heavy metal-contaminated soil when exposed to short-term (48 h) variations in air temperature, soil humidity or ultraviolet (UV) radiation in the absence and presence of Enchytraeus crypticus (soil invertebrate). Each of the climate scenarios simulated significantly altered at least one of the microbial parameters measured. Irrespective of the presence or absence of invertebrates, the effects were particularly marked upon exposure to increased air temperature and alterations in soil moisture levels (drought and flood scenarios). The observed effects can be partly explained by significant alterations in soil properties such as pH, dissolved organic carbon, and water-extractable heavy metals, which were observed for all scenarios in comparison to standard conditions. The occurrence of invertebrates mitigated some of the impacts observed on the soil microbial community, particularly in bacterial abundance, richness, diversity, and metabolic activity. Our findings emphasize the importance of considering the interplay between climate change, anthropogenic pressures, and soil biotic components to assess the impact of climate change on terrestrial ecosystems and to develop and implement effective management strategies.</p></article>", "keywords": ["0301 basic medicine", "2. Zero hunger", "Soil invertebrates", "Soil microbiome", "Soil drought", "Ultraviolet Rays", "Soil pollution", "Microbiota", "Temperature", "Enchytraeus crypticus", "15. Life on land", "01 natural sciences", "Article", "6. Clean water", "Soil", "03 medical and health sciences", "13. Climate action", "UVR exposure", "Metals", " Heavy", "Climate change", "Soil flood", "Metagenomics", "Increased temperature", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.3390/genes15010107"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Genes", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/genes15010107", "name": "item", "description": "10.3390/genes15010107", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/genes15010107"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-16T00:00:00Z"}}, {"id": "78F40629-3272-40F6-B0AA-C0A353F7A391", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:24:18Z", "type": "Dataset", "language": "en", "title": "Soil Regions of the European Union and Adjacent Countries 1:5,000,000", "description": "The map of the \"Soil Regions of the European Union and Adjacent Countries 1:5,000,000 (Version 2.0)\" is published by the Federal Institute of Geosciences and Natural Resources (BGR), in partnership with the Joint Research Center (JRC, Ispra). The soil regions map is intended to support the current national mapping activities towards a European 1:250,000 datbase by stratifying similar regional soil associations into a hierarchical concept. Only by stratification, the complexity of soils can be systematically structured so that the complex 1:250,000 legend can be handled in cross-national and contintental-level applications. Soil regions are natural, cross-regional soil geographical units which perform the highest spatial and content-based aggregation of European soils. They represent the frame conditions for soil development at the landscape level. The soil regions are presented at scale 1:5,000,000. Thus, its borders are highly generalized. Because of its low resolution, the map units absorb atypical soils and associations of soils, which are only described in higher resolution soil maps. The delineation of the soil regions is expected to be refined (and probably improved by its content) during the actual 1:250,000 mapping process. Thus, updating can be expected in the future. Currently, the soil regions map is the only graphical soil representation in Europe which has been developed using fully comparable and harmonized basic data at the continental level (climate, hydrography, relief, geology, vegetation): the interpretation of this input data, and the utilization of expert knowledge (including the interpretation of regional soil maps) has been done using one common methodology, developed and applied consistently throughout the whole mapping area by an experienced international soil mapper (Dr. Reinhard Hartwich, former member of BGR, and co-author of the 1998 Manual of Procedures). The methodology is extensively described in the Explanatory Notes (German), and in the revised Manual of Procedures which is expected to be completed soon. It is highly recommended to apply and interpret the map using the map comments and descriptions as provided in the explanatory notes (German: Hartwich et al. 2005; English: revision of the Manual of Procedures, initial version: Finke et al. 2001).", "formats": [{"name": "PDF"}], "keywords": ["bodeneigenschaften", "bodenlandschaften", "bodenregionen", "bodenverbreitung", "climate-areas", "egdi", "entstehungsart", "europa", "europe", "io", "landscape-stratification", "soil", "soil-landscapes", "soil-parent-material-associations", "soil-regions", "soil-scapes"], "contacts": [{"organization": "Eberhardt, Einar, Dr.", "roles": ["creator"]}]}, "links": [{"href": "https://download.bgr.de/bgr/Boden/EUSR5000/jpg/eusr5000.zip"}, {"href": "https://download.bgr.de/bgr/Boden/EUSR5000/mdb/eusr5000.zip"}, {"href": "https://download.bgr.de/bgr/Boden/EUSR5000/pdf/eusr5000.zip"}, {"href": "https://download.bgr.de/bgr/Boden/EUSR5000/png/eusr5000.zip"}, {"href": "https://download.bgr.de/bgr/Boden/EUSR5000/shp/eusr5000.zip"}, {"href": "https://download.bgr.de/bgr/Boden/EUSR5000/tiff/eusr5000.zip"}, {"href": "http://data.europa.eu/88u/dataset/ae71ffee-1ae9-4624-ae3f-f49513fe9dcb"}, {"rel": "self", "type": "application/geo+json", "title": "78F40629-3272-40F6-B0AA-C0A353F7A391", "name": "item", "description": "78F40629-3272-40F6-B0AA-C0A353F7A391", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/78F40629-3272-40F6-B0AA-C0A353F7A391"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "10.3390/land11071031", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:19:40Z", "type": "Journal Article", "created": "2022-07-07", "title": "Soil Compaction in Harvesting Operations of Phalaris arundinacea L.", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Tillage and harvesting operations of perennial forage crops have problems with soil compaction. The effects of this phenomenon are soil deterioration with reduced crop performance and yield. This study aims to assess soil disturbance by measuring the level of compaction caused by the harvesting operations of Phalaris arundinacea L. P. arundinacea is a species that lends itself to biomass production and phytoremediation of contaminated soils; it adapts to difficult soil conditions, outperforming other species in terms of ease of planting, cost, maturity time, yield, and contamination levels. The crop was sown in three plots of the experimental teaching farm of the University of Tuscia, Viterbo, Italy. Following a detailed analysis of the chemical\u2013physical characteristics of the soil, minimum tillage was chosen in order to concentrate on harvesting operations, which were carried out with a disc mower coupled to a tractor. This was followed by penetration resistance and soil moisture measurements to verify the incidence of the operations and the effect of the type of crop on compaction. On the study site, measurements were taken at points that the wheels of the tractor had gone over and at points that they had not. The soil analysis results indicate different chemical\u2013physical characteristics between the two areas, the texture being frankly sandy to clayey. Penetration resistance measurements indicated differences for the first 20 cm between the part that was covered by the tractor\u2019s tyres and the part that was left touched but also between the three plots. Moisture influenced penetration resistance. This study provides an evaluation of the first data obtained from a project that will last four years and which will explore the dynamics between soil, cultivation, and harvesting operations, giving a fundamental basis for further investigation of further harvesting operations and soil characteristics, which are crucial for planning and managing crops and reducing impacts on the soil in order to preserve it.</p></article>", "keywords": ["2. Zero hunger", "minimum tillage", "S", "penetration resistance; soil protection; minimum tillage; mechanisation; European law", "soil protection", "mechanisation", "0401 agriculture", " forestry", " and fisheries", "Agriculture", "penetration resistance", "04 agricultural and veterinary sciences", "15. Life on land", "European law"]}, "links": [{"href": "http://www.mdpi.com/2073-445X/11/7/1031/pdf"}, {"href": "https://www.mdpi.com/2073-445X/11/7/1031/pdf"}, {"href": "https://doi.org/10.3390/land11071031"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Land", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/land11071031", "name": "item", "description": "10.3390/land11071031", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/land11071031"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-07-07T00:00:00Z"}}, {"id": "10.1016/j.rse.2023.113986", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:16:33Z", "type": "Journal Article", "created": "2024-01-21", "title": "On-orbit calibration and performance of the EMIT imaging spectrometer", "description": "Open AccessArticle signat per 56 autors: David R. Thompson, Robert O. Green, Christine Bradley, Philip G. Brodrick, Natalie Mahowald, Eyal Ben Dor, Matthew Bennett, Michael Bernas, Nimrod Carmon, K. Dana Chadwick, Roger N. Clark, Red Willow Coleman, Evan Cox, Ernesto Diaz, Michael L. Eastwood, Regina Eckert, Bethany L. Ehlmann, Paul Ginoux, Mar\u00eda Gon\u00e7alves Ageitos, Kathleen Grant, Luis Guanter, Daniela Heller Pearlshtien, Mark Helmlinger, Harrison Herzog, Todd Hoefen, Yue Huang, Abigail Keebler, Olga Kalashnikova, Didier Keymeulen, Raymond Kokaly, Martina Klose, Longlei Li, Sarah R. Lundeen, John Meyer, Elizabeth Middleton, Ron L. Miller, Pantazis Mouroulis, Bogdan Oaida, Vincenzo Obiso, Francisco Ochoa, Winston Olson-Duvall, Gregory S. Okin, Thomas H. Painter, Carlos P\u00e9rez Garc\u00eda-Pando, Randy Pollock, Vincent Realmuto, Lucas Shaw, Peter Sullivan, Gregg Swayze, Erik Thingvold, Andrew K. Thorpe, Suresh Vannan, Catalina Villarreal, Charlene Ung, Daniel W. Wilson, Sander Zandbergen.", "keywords": ["Mineral dusts", "Teledetecci\u00f3", "550", "Radiative forcing", "7. Clean energy", "Validation", "\u00c0rees tem\u00e0tiques de la UPC::F\u00edsica::Astronomia i astrof\u00edsica", "Spectrometer--Calibration", "Pols minerals", "Visible-shortwave infrared spectroscopy", "info:eu-repo/classification/ddc/550", "ddc:550", "International space station", "Remote sensing", "Mineralogy", "Espect\u00f2metres--Calibratge", "Imaging spectroscopy", "EMIT", "Earth sciences", "Atmospheric correction", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria de la telecomunicaci\u00f3::Radiocomunicaci\u00f3 i exploraci\u00f3 electromagn\u00e8tica::Teledetecci\u00f3", "13. Climate action", "Hyperspectral imagery", "Calibration", "Mineral dust cycle", "NASA"]}, "links": [{"href": "https://doi.org/10.1016/j.rse.2023.113986"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing%20of%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.rse.2023.113986", "name": "item", "description": "10.1016/j.rse.2023.113986", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.rse.2023.113986"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-03-01T00:00:00Z"}}, {"id": "10.1016/j.rser.2012.09.002", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:16:33Z", "type": "Journal Article", "created": "2012-10-04", "title": "Harmonising Bioenergy Resource Potentials\u2014Methodological Lessons From Review Of State Of The Art Bioenergy Potential Assessments", "description": "Published estimates of the potential of bioenergy vary widely, mainly due to the heterogeneity of methodologies, assumptions and datasets employed. These discrepancies are confusing for policy and it is thus important to have scientific clarity on the basis of the assessment outcomes. Such clear insights can enable harmonisation of the different assessments. This review explores current state of the art approaches and methodologies used in bioenergy assessments, and identifies key elements that are critical determinants of bioenergy potentials. We apply the lessons learnt from the review exercise to compare and harmonise a selected set of country based bioenergy potential studies, and provide recommendations for conducting more comprehensive assessments. Depending on scenario assumptions, the harmonised technical biomass potential estimates up to 2030 in the selected countries range from 5.2 to 27.3 EJ in China, 1.1 to 18.8 EJ in India, 2.0 to 10.9 EJ in Indonesia, 1.6 to 7.0 EJ in Mozambique and 9.3 to 23.5 EJ in the US. From the review, we observed that generally, current studies do not cover all the basic (sustainability) elements expected in an ideal bioenergy assessment and there are marked differences in the level of parametric detail and methodological transparency between studies. Land availability and suitability lack spatial detail and especially degraded and marginal lands are poorly evaluated. Competition for water resources is hardly taken into account and biomass yields are based mostly on crude ecological zoning criteria. A few studies take into account improvements in management of agricultural and forestry production systems, but the underlying assumptions are hardly discussed. Competition for biomass resources among the various applications is crudely analysed in most studies and key assumptions such as demographic dynamics, biodiversity protection criteria, etc. are not explicitly discussed. To facilitate more comprehensive bioenergy assessments, we recommend an integrated analytical framework that includes all the key factors, employs high resolution geo-referenced datasets and accounts for potential feedback effects.", "keywords": ["greenhouse-gas", "spatial-distribution", "0211 other engineering and technologies", "Review", "02 engineering and technology", "7. Clean energy", "12. Responsible consumption", "11. Sustainability", "0202 electrical engineering", " electronic engineering", " information engineering", "Biomass", "SDG 15 - Life on Land", "2. Zero hunger", "Energy", "Milieukunde", "Methodology", "bio-energy", "Scheikunde", "15. Life on land", "plantation biomass resources", "carbon sequestration", "6. Clean water", "integrated approach", "sustainable bioenergy", "land-use scenarios", "13. Climate action", "climate-change", "water-use", "Potential"]}, "links": [{"href": "https://doi.org/10.1016/j.rser.2012.09.002"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Renewable%20and%20Sustainable%20Energy%20Reviews", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.rser.2012.09.002", "name": "item", "description": "10.1016/j.rser.2012.09.002", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.rser.2012.09.002"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-12-01T00:00:00Z"}}, {"id": "97989154d4be17f52279916f311b52e3", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:24:36Z", "type": "Report", "title": "Characterization and Modeling of SiC Integrated Circuits for Harsh Environment", "description": "Elektronik f\u00f6r extrema milj\u00f6er, som kan anv\u00e4ndas vid h\u00f6g temperatur, h\u00f6g\u00a0str\u00e5lning och omgivning med fr\u00e4tande gaser, har varit starkt \u00f6nskv\u00e4rd vid utforskning av rymden och \u00f6vervakning av k\u00e4rnreaktorer. Kiselkarbid (SiC) \u00e4r en av kandidaterna inom material f\u00f6r extrema milj\u00f6er p\u00e5 grund av sin h\u00f6ga temperatur- och h\u00f6ga str\u00e5lnings-tolerans. Syftet med denna avhandling \u00e4r att karakterisera 4H-SiC MOSFETar vid h\u00f6g temperatur och att konstruera SPICE modeller f\u00f6r 4H-SiC MOSFETar. MOSFET-transistorer karakteriserades till 500\u00b0C. Med anv\u00e4ndande av karakt\u00e4ristik f\u00f6r en 4H-SiC NMOSFET med L/W = 10 \u00b5m / 50 \u00b5m, anpassades en SPICE LEVEL 2 kretsmodell. Modellen beskriver DC karakteristiska av 4H- SiC MOSFETar mellan 25\u00baC och 450\u00baC. Baserat p\u00e5 SPICE-kretsmodellen simulerades egenskaper f\u00f6r operationsf\u00f6rst\u00e4rkare och digitala inverterar. D\u00e4rut\u00f6ver analyserades driften av pseudo-CMOS vid h\u00f6g temperatur och principen f\u00f6r konstruktion av pseudo-CMOS f\u00f6reslogs. Arean och utbytet (s.k. yield) av pseudo-CMOS integrerade kretsar uppskattades och det visar sig att SiC pseudo-CMOS integrerade kretsar kan anv\u00e4nda mindre area \u00e4n SiC CMOS integrerade kretsar.  Harsh environment electronics, which can be operated at high-temperature, high-radiation, and corrosive gas environment, has been strongly desired in space exploration and monitoring of nuclear reactors. Silicon Carbide (SiC) is one of the candidates of materials for harsh environment electronics because of its high-temperature and high-radiation tolerance.\u200c The objective of this thesis is to characterize 4H-SiC MOSFETs at high- temperature and to construct SPICE models of the 4H-SiC MOSFETs. The MOSFET devices were characterized up to 500\u00baC. Using the characteristic of a 4H-SiC NMOSFET with\u00a0L/W\u00a0= 10 \u00b5m/50 \u00b5m, a SPICE LEVEL 2 circuit model was constructed. This model describes the DC characteristic of the 4H-SiC MOSFETs in the range of 25 \u2013 450\u00baC. Based on the SPICE circuit model, the characteristics of operational amplifiers and digital inverters were simulated. Furthermore, the operation of pseudo-CMOS at high-temperature was analyzed and the operation principle of pseudo-CMOS was suggested. The device area and yield of pseudo-CMOS integrated circuits were estimated and it is shown that SiC pseudo-CMOS integrated circuits can use less area than SiC CMOS integrated circuits.", "keywords": ["Computer and Information Sciences", "Extrema Milj\u00f6er", "SPICE circuit simulation", "Data- och informationsvetenskap", "Silicon carbide", "High-temperature", "H\u00f6g tempeatur", "Electrical Engineering", " Electronic Engineering", " Information Engineering", "Yield calculation", "Utbytet utr\u00e4kning", "Harsh environment", "Pseudo-CMOS", "Elektroteknik och elektronik", "SPICE kretssimulering"], "contacts": [{"organization": "Kimoto, Daiki", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/97989154d4be17f52279916f311b52e3"}, {"rel": "self", "type": "application/geo+json", "title": "97989154d4be17f52279916f311b52e3", "name": "item", "description": "97989154d4be17f52279916f311b52e3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/97989154d4be17f52279916f311b52e3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-01-01T00:00:00Z"}}, {"id": "AFC47F2E-43ED-42AA-8EBB-85FCD47FA1D7", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:24:40Z", "type": "Dataset", "title": "Soil Regions of the European Union and Adjacent Countries 1:5,000,000 (WMS)", "description": "The map of the \"Soil Regions of the European Union and Adjacent Countries 1:5,000,000 (Version 2.0)\" is published by the Federal Institute of Geosciences and Natural Resources (BGR), in partnership with the Joint Research Center (JRC, Ispra). The soil regions map is intended to support the current national mapping activities towards a European 1:250,000 datbase by stratifying similar regional soil associations into a hierarchical concept. Only by stratification, the complexity of soils can be systematically structured so that the complex 1:250,000 legend can be handled in cross-national and contintental-level applications. Soil regions are natural, cross-regional soil geographical units which perform the highest spatial and content-based aggregation of European soils. They represent the frame conditions for soil development at the landscape level. The soil regions are presented at scale 1:5,000,000. Thus, its borders are highly generalized. Because of its low resolution, the map units absorb atypical soils and associations of soils, which are only described in higher resolution soil maps. The delineation of the soil regions is expected to be refined (and probably improved by its content) during the actual 1:250,000 mapping process. Thus, updating can be expected in the future. Currently, the soil regions map is the only graphical soil representation in Europe which has been developed using fully comparable and harmonized basic data at the continental level (climate, hydrography, relief, geology, vegetation): the interpretation of this input data, and the utilization of expert knowledge (including the interpretation of regional soil maps) has been done using one common methodology, developed and applied consistently throughout the whole mapping area by an experienced international soil mapper (Dr. Reinhard Hartwich, former member of BGR, and co-author of the 1998 Manual of Procedures). The methodology is extensively described in the Explanatory Notes (German), and in the revised Manual of Procedures which is expected to be completed soon. It is highly recommended to apply and interpret the map using the map comments and descriptions as provided in the explanatory notes (German: Hartwich et al. 2005; English: revision of the Manual of Procedures, initial version: Finke et al. 2001).", "formats": [{"name": "WMS_SRVC"}], "keywords": ["bodeneigenschaften", "bodenlandschaften", "bodenregionen", "bodenverbreitung", "climate-areas", "egdi", "entstehungsart", "europa", "europe", "infomapaccessservice", "io", "landscape-stratification", "soil", "soil-landscapes", "soil-parent-material-associations", "soil-regions", "soil-scapes"], "contacts": [{"organization": "Eberhardt, Einar, Dr.", "roles": ["creator"]}]}, "links": [{"href": "https://services.bgr.de/wms/boden/eusr5000/?"}, {"href": "http://data.europa.eu/88u/dataset/f5624c2a-d5be-4810-8d66-c0139d471118~~1"}, {"rel": "self", "type": "application/geo+json", "title": "AFC47F2E-43ED-42AA-8EBB-85FCD47FA1D7", "name": "item", "description": "AFC47F2E-43ED-42AA-8EBB-85FCD47FA1D7", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/AFC47F2E-43ED-42AA-8EBB-85FCD47FA1D7"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "c7966d90-0af0-4ede-a7c5-6dc786388b81", "type": "Feature", "geometry": null, "properties": {"updated": "2024-12-16T00:00:00Z", "type": "Dataset", "language": "de", "title": "Soil function assessment map - Rhein-Kreis Neuss", "description": "Soils are one of our essential livelihoods. They are habitat for humans, animals and plants and thus also the basis of human nutrition. They store water and nutrients that they provide to growing plants and convert dead organic substances into plant-available nutrients through soil organisms. Soils thus play a central role in global material cycles and thus also in the climate-relevant carbon cycle. In addition, soils protect the newly formed groundwater from contamination after infiltration of precipitation water and passage through the soil body through filtering and chemical-physical bonding, so that clean groundwater can be created, which feeds surface waters or can be treated as drinking water. Since soils can only develop or re-form very slowly (centurys to millennia) from the rock, the protection of existing soils from removal, sealing, compaction, etc. is a central human task. The legal basis for the protection of the diverse natural functions of soil in Germany is the Federal Soil Protection Act 1998 (BBodSchG \u00a72(2)(1) and (2)) together with the Federal Soil Protection Ordinance, which was recently amended and will enter into force in August 2023. In recent years, the Lower Soil Protection Authority of the Rhein-Kreis Neuss has, with the support of the state of North Rhine-Westphalia, produced large-scale soil function maps for soils used for agriculture and forestry.", "formats": [{"name": "WMS_SRVC"}], "keywords": ["bewertung", "boden", "bodenbewertung", "bodenfruchbarkeit", "bodenfunktion", "de", "dormagen", "funktion", "grevenbroich", "ju\u0308chen", "kaarst", "korschenbroich", "meerbusch", "neuss", "rhein-kreis-neuss", "rommerskirchen"], "contacts": [{"organization": "Karl-Heinz Olk", "roles": ["creator"]}]}, "links": [{"href": "https://maps.rhein-kreis-neuss.de/services/RKN_Bodenfunktionsbewertungskarte/wms??SERVICE=WMS&REQUEST=GetCapabilities"}, {"href": "http://data.europa.eu/88u/dataset/c7966d90-0af0-4ede-a7c5-6dc786388b81"}, {"href": "https://registry.gdi-de.org/id/de.nw/RKN_BF"}, {"rel": "self", "type": "application/geo+json", "title": "c7966d90-0af0-4ede-a7c5-6dc786388b81", "name": "item", "description": "c7966d90-0af0-4ede-a7c5-6dc786388b81", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/c7966d90-0af0-4ede-a7c5-6dc786388b81"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "10.1016/j.agee.2013.04.013", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:15:29Z", "type": "Journal Article", "created": "2013-05-16", "title": "Carbon Stocks And Cocoa Yields In Agroforestry Systems Of Central America", "description": "Abstract   The cocoa tree (Theobroma cacao L.) is cultivated typically in agroforestry systems in close association with a rich list of tree species and other useful plants on the same plot. Cocoa based agroforestry systems are credited for stocking significant amounts of carbon and hence have the potential to mitigate climate change. Since cocoa yields decrease non-linearly with increasing shade, a need is to design optimal cocoa agroforestry systems with high yields and high carbon stocks. We estimated the carbon stocked in a network of 229 permanent sample plots in cacao-based agroforestry systems and natural forests in five Central American countries. Carbon stocks were fractioned by both system compartments (aboveground, roots, soil, litter, dead wood \u2013 fine and coarse, and total) and tree use/form (cocoa, timber, fruit, bananas, shade and ornamentals, and palms). Cocoa plantations were assigned to a five-class typology and tested for independence with growing region using contingency analysis. Most Central American cocoa plantations had mixed or productive shade canopies. Only 4% of cocoa plantations were full sun or rustic (cocoa under thinned natural forest). Cocoa tree density was low (548\u00a0\u00b1\u00a0192\u00a0trees\u00a0ha\u22121). Total carbon (soil\u00a0+\u00a0biomass\u00a0+\u00a0dead biomass) was 117\u00a0\u00b1\u00a047\u00a0Mg\u00a0ha\u22121, with 51\u00a0Mg\u00a0ha\u22121 in the soil and 49\u00a0Mg\u00a0ha\u22121 (42% of total carbon) in aboveground biomass (cocoa and canopy trees). Cocoa trees accumulated 9\u00a0Mg\u00a0C\u00a0ha\u22121 (18% of carbon in aboveground biomass). Timber and fruit trees stored 65% of aboveground carbon. The annual rate of accumulation of carbon in aboveground biomass ranged between 1.3 and 2.6\u00a0Mg\u00a0C\u00a0ha\u22121\u00a0y\u22121. Trade-offs between carbon levels and yields were explored qualitatively using functional relationships documented in the scientific and technical literature, and expert knowledge. We argue that it is possible to design cocoa-based AFS with good yields (cocoa and shade canopy) and high carbon stock levels. The botanical composition of the shade canopy provides a large set of morphological and functional traits that can be used to optimize shade canopy design. Our results offer Central American cocoa producers a rigorous estimate of carbon stocks in their cocoa plantations. This knowledge may help them to certify and sell their cocoa, timber, fruits and other goods to niche markets with good prices. Our results will also assist governments and the private sector in (i) designing better legal, institutional and policy frameworks, local and national, promoting an agriculture with trees and (ii) contributing to the development of the national monitoring, reporting and verification systems required by the international community to access funding and payment for ecosystem services.", "keywords": ["0106 biological sciences", "certification", "F08 - Syst\u00e8mes et modes de culture", "rendement des cultures", "http://aims.fao.org/aos/agrovoc/c_1920", "stockage", "01 natural sciences", "http://aims.fao.org/aos/agrovoc/c_10176", "http://aims.fao.org/aos/agrovoc/c_5524", "http://aims.fao.org/aos/agrovoc/c_7427", "K01 - Foresterie - Consid\u00e9rations g\u00e9n\u00e9rales", "biomasse", "Theobroma cacao", "service", "http://aims.fao.org/aos/agrovoc/c_1666", "http://aims.fao.org/aos/agrovoc/c_1301", "plante d'ombrage", "agroforesterie", "2. Zero hunger", "changement climatique", "http://aims.fao.org/aos/agrovoc/c_3418", "04 agricultural and veterinary sciences", "15. Life on land", "http://aims.fao.org/aos/agrovoc/c_331583", "http://aims.fao.org/aos/agrovoc/c_207", "K10 - Production foresti\u00e8re", "s\u00e9questration du carbone", "http://aims.fao.org/aos/agrovoc/c_926", "http://aims.fao.org/aos/agrovoc/c_7019", "13. Climate action", "http://aims.fao.org/aos/agrovoc/c_7713", "marketing", "http://aims.fao.org/aos/agrovoc/c_6989", "http://aims.fao.org/aos/agrovoc/c_5171", "http://aims.fao.org/aos/agrovoc/c_1434", "0401 agriculture", " forestry", " and fisheries", "peuplement forestier", "P01 - Conservation de la nature et ressources fonci\u00e8res", "carbone", "caract\u00e9ristique du peuplement", "http://aims.fao.org/aos/agrovoc/c_4620", "http://aims.fao.org/aos/agrovoc/c_35702", "http://aims.fao.org/aos/agrovoc/c_34910", "http://aims.fao.org/aos/agrovoc/c_28080", "http://aims.fao.org/aos/agrovoc/c_3651"]}, "links": [{"href": "https://doi.org/10.1016/j.agee.2013.04.013"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agriculture%2C%20Ecosystems%20%26amp%3B%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agee.2013.04.013", "name": "item", "description": "10.1016/j.agee.2013.04.013", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agee.2013.04.013"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-07-01T00:00:00Z"}}, {"id": "10.1016/j.geodrs.2023.e00716", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:16:20Z", "type": "Journal Article", "created": "2023-09-27", "title": "Stakeholders' point of view on access to soil knowledge in France. What are the opportunities for further improvement?", "description": "Life on earth depends on soil health. However, soils are threatened across the world. To respond to the challenges posed by climate change and soil degradation, there is a need to better integrate scientific soil knowledge into the practice. The aim of this paper is to better understand the access to soil knowledge in France and identify opportunities for further improvement, with a particular focus on the difference of point of view between six categories of stakeholders. This study is based on 1951 responses from a participatory stakeholders\u2019 consultation we conducted in France. Our results showed that most stakeholders considered the knowledge they have access to as not adapted to their needs. They also expressed that knowledge sharing between stakeholders was not sufficient. To improve access to soil knowledge, stakeholders suggested adapting at the territorial level the content of soil knowledge shared and transferred, as well as improving ways of sharing and transfer soil knowledge. Additionally, stakeholders valued different exchange networks based on their type of knowledge. Stakeholders with more theoretical soil knowledge (public authorities, NGOs, researchers) stated being more interested in networks between policy, science and society. However, networks with farmers and advisors were more favored by stakeholders with empirical soil knowledge. Considering our findings, in order to strengthen knowledge transfer and sharing, we encourage the promotion of the profession of scientific mediator, as well as the implementation of Living Labs and Lighthouse farms to bring together various stakeholders at a local level towards innovation, training and education. This will ensure a transition towards a more sustainable soil management in Europe.", "keywords": ["multi-actor consultation", "partage des connaissances", "[SDE] Environmental Sciences", "vision des acteurs", "Knowledge sharing", "consultation multi-acteurs", "visi\u00f3n de los actores", "Exchange networks", "consulta multiactor", "Knowledge transfer", "stakeholder perspective.", "333", "12. Responsible consumption", "intercambio de conocimientos", "transfert de connaissances", "sant\u00e9 des sols", "EJPSOIL", "Soil health", "11. Sustainability", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "transferencia de conocimientos", "2. Zero hunger", "salud de los suelos", "soil health", "9. Industry and infrastructure", "4. Education", "15. Life on land", "knowledge transfer", "16. Peace & justice", "exchange networks", "r\u00e9seaux d'\u00e9changes", "Multi-actor consultation", "6. Clean water", "13. Climate action", "[SDE]Environmental Sciences", "8. Economic growth", "redes de intercambio", "Stakeholder perspective", "knowledge sharing"], "contacts": [{"organization": "Mason, Elo\u00efse, Cornu, Sophie, Chenu, Claire,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.geodrs.2023.e00716"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma%20Regional", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geodrs.2023.e00716", "name": "item", "description": "10.1016/j.geodrs.2023.e00716", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geodrs.2023.e00716"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-12-01T00:00:00Z"}}, {"id": "10.1007/s00248-007-9295-1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:14:44Z", "type": "Journal Article", "created": "2007-08-31", "title": "Plfa Profiling Of Microbial Community Structure And Seasonal Shifts In Soils Of A Douglas-Fir Chronosequence", "description": "The impact and frequency of forest harvesting could significantly affect soil microbial community (SMC) structure and functioning. The ability of soil microorganisms to perform biogeochemical processes is critical for sustaining forest productivity and has a direct impact on decomposition dynamics and carbon storage potential. The Wind River Canopy Crane Research Forest in SW, WA, provided a unique opportunity to study a forest chronosequence and the residual effects of harvesting on the SMC in comparison to old-growth forests. The objective of this study was to determine the effect of clear-cutting and stand age on temporal dynamics of SMC and physiological stress markers using phospholipid fatty acid (PLFA) profiling. Soil microbial PLFA profiles were determined seven times over 22 months (Nov. 02 to Sep. 04) in old-growth coniferous forest stands (300-500 years) and 8 (CC8)- or 25 (CC25)-year-old replanted clear-cuts. PLFA patterns of the SMC shifted because of clear-cutting, but seasonal temporal changes had greater shifts than differences among stand age. The microbial biomass (total PLFA) and bacterial, fungal, and selected other PLFAs were significantly reduced in CC8 but not in CC25 sites relative to the old-growth sites. An increase in stress indicators [PLFA ratios of saturated/monsaturated and (cy17:0 + cy19:0)/(16:1omega7 + 18:1omega7)] in late summer was related to water stress. Although the canopy and litter input are quite different for a 25-year clear-cut compared to virgin old-growth forest, we conclude that the composition of the microbial communities, 25 years after clear-cutting, has recovered sufficiently to be much more similar to old-growth forests than a recent clear-cut at this Pacific Northwest forest site. The study shows the potential of PLFA analysis for profiling microbial communities and their stress status under field conditions, but wide temporal shifts emphasize the need for sampling over seasons to fully interpret ecosystem management impacts on microbial populations.", "keywords": ["Washington", "Time Factors", "Bacteria", "Fatty Acids", "Fungi", "Temperature", "Eukaryota", "Water", "04 agricultural and veterinary sciences", "15. Life on land", "Pseudotsuga", "Trees", "Soil", "13. Climate action", "Animals", "0401 agriculture", " forestry", " and fisheries", "Biomass", "Seasons", "Phospholipids", "Soil Microbiology"]}, "links": [{"href": "https://doi.org/10.1007/s00248-007-9295-1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Microbial%20Ecology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s00248-007-9295-1", "name": "item", "description": "10.1007/s00248-007-9295-1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s00248-007-9295-1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-08-31T00:00:00Z"}}, {"id": "10.1016/j.agee.2018.05.028", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:15:33Z", "type": "Journal Article", "created": "2018-05-31", "title": "Effects of agricultural management practices on soil quality: A review of long-term experiments for Europe and China", "description": "Open AccessIn this paper we present effects of four paired agricultural management practices (organic matter (OM) addition versus no organic matter input, no-tillage (NT) versus conventional tillage, crop rotation versus monoculture, and organic agriculture versus conventional agriculture) on five key soil quality indicators, i.e., soil organic matter (SOM) content, pH, aggregate stability, earthworms (numbers) and crop yield. We have considered organic matter addition, no-tillage, crop rotation and organic agriculture as 'promising practices'; no organic matter input, conventional tillage, monoculture and conventional farming were taken as the respective references or 'standard practice' (baseline). Relative effects were analysed through indicator response ratio (RR) under each paired practice. For this we considered data of 30 long-term experiments collected from 13 case study sites in Europe and China as collated in the framework of the EU-China funded iSQAPER project. These were complemented with data from 42 long-term experiments across China and 402 observations of long-term trials published in the literature. Out of these, we only considered experiments covering at least five years. The results show that OM addition favourably affected all the indicators under consideration. The most favourable effect was reported on earthworm numbers, followed by yield, SOM content and soil aggregate stability. For pH, effects depended on soil type; OM input favourably affected the pH of acidic soils, whereas no clear trend was observed under NT. NT generally led to increased aggregate stability and greater SOM content in upper soil horizons. However, the magnitude of the relative effects varied, e.g. with soil texture. No-tillage practices enhanced earthworm populations, but not where herbicides or pesticides were applied to combat weeds and pests. Overall, in this review, yield slightly decreased under NT. Crop rotation had a positive effect on SOM content and yield; rotation with ley very positively influenced earthworms' numbers. Overall, crop rotation had little impact on soil pH and aggregate stability \u2212 depending on the type of intercrop; alternatively, rotation of arable crops only resulted in adverse effects. A clear positive trend was observed for earthworm abundance under organic agriculture. Further, organic agriculture generally resulted in increased aggregate stability and greater SOM content. Overall, no clear trend was found for pH; a decrease in yield was observed under organic agriculture in this review.", "keywords": ["China", "Soil Science", "Organic chemistry", "Crop", "01 natural sciences", "Long-term field experiments", "Crop Productivity", "Soil quality", "Environmental science", "Organic Matter Dynamics", "Tillage", "Agricultural and Biological Sciences", "Soil quality indicators", "Crop rotation", "Management of Soil Fertility and Crop Productivity", "Soil water", "FOS: Mathematics", "Agricultural management practices", "Monoculture", "Crop Yield Stability", "Biology", "0105 earth and related environmental sciences", "Literature review", "Response ratio", "Soil science", "2. Zero hunger", "Soil organic matter", "Soil Fertility", "Conventional tillage", "Geography", "Life Sciences", "Agriculture", "04 agricultural and veterinary sciences", "Soil Nutrient Management", "15. Life on land", "Agronomy", "Europe", "Chemistry", "Archaeology", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Crop husbandry", "Organic matter", "Intercropping in Agricultural Systems", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "Agronomy and Crop Science", "Mathematics"]}, "links": [{"href": "https://doi.org/10.1016/j.agee.2018.05.028"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agriculture%2C%20Ecosystems%20%26amp%3B%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agee.2018.05.028", "name": "item", "description": "10.1016/j.agee.2018.05.028", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agee.2018.05.028"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-10-01T00:00:00Z"}}, {"id": "10.1007/s00267-021-01546-y", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:14:45Z", "type": "Journal Article", "created": "2021-10-11", "title": "Have farmers had enough of experts?", "description": "Abstract<p>The exponential rise of information available means we can now, in theory, access knowledge on almost any question we ask. However, as the amount of unverified information increases, so too does the challenge in deciding which information to trust. Farmers, when learning about agricultural innovations, have historically relied on in-person advice from traditional \uffe2\uff80\uff98experts\uffe2\uff80\uff99, such as agricultural advisers, to inform farm management. As more farmers go online for information, it is not clear whether they are now using digital information to corroborate in-person advice from traditional \uffe2\uff80\uff98experts\uffe2\uff80\uff99, or if they are foregoing \uffe2\uff80\uff98expert\uffe2\uff80\uff99 advice in preference for peer-generated information. To fill this knowledge gap, we sought to understand how farmers in two contrasting European countries (Hungary and the UK) learnt about sustainable soil innovations and who influenced them to innovate. Through interviews with 82 respondents, we found farmers in both countries regularly used online sources to access soil information; some were prompted to change their soil management by farmer social media \uffe2\uff80\uff98influencers\uffe2\uff80\uff99. However, online information and interactions were not usually the main factor influencing farmers to change their practices. Farmers placed most trust in other farmers to learn about new soil practices and were less trusting of traditional \uffe2\uff80\uff98experts\uffe2\uff80\uff99, particularly agricultural researchers from academic and government institutions, who they believed were not empathetic towards farmers\uffe2\uff80\uff99 needs. We suggest that some farmers may indeed have had enough of traditional \uffe2\uff80\uff98experts\uffe2\uff80\uff99, instead relying more on their own peer networks to learn and innovate. We discuss ways to improve trustworthy knowledge exchange between agricultural stakeholders to increase uptake of sustainable soil management practices, while acknowledging the value of peer influence and online interactions for innovation and trust building.</p", "keywords": ["Soil management", "S1", "Farms", "land and farm management", "social media", "0211 other engineering and technologies", "02 engineering and technology", "HM", "Trust", "Article", "Social media", "Soil", "Humans", "Innovation", "2. Zero hunger", "Farmers", "Social learning", "Sustainable agriculture", "trust", "Agriculture", "04 agricultural and veterinary sciences", "technology adoption", "15. Life on land", "innovation", "sustainable agriculture", "Europe", "social learning", "306", "0401 agriculture", " forestry", " and fisheries", "soil management", "Technology adoption"]}, "links": [{"href": "https://eprints.glos.ac.uk/10244/1/10244-Ingram-%282021%29-Have-farmers-had-enough-of-experts.pdf"}, {"href": "https://acuresearchbank.acu.edu.au/download/b54f4bab4eb56b409a0e6838d25d36dd473ff1009b4f3e71f789cf755eddd484/893000/OA_Rust_2022_Have_farmers_had_enough_of_experts.pdf"}, {"href": "https://link.springer.com/content/pdf/10.1007/s00267-021-01546-y.pdf"}, {"href": "https://eprints.ncl.ac.uk/fulltext.aspx?url=277605/316B30B8-0A50-4408-9BDB-BC4CF385C785.pdf&pub_id=277605"}, {"href": "https://doi.org/10.1007/s00267-021-01546-y"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s00267-021-01546-y", "name": "item", "description": "10.1007/s00267-021-01546-y", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s00267-021-01546-y"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-10-11T00:00:00Z"}}, {"id": "10.1016/j.agrformet.2022.108823", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:15:35Z", "type": "Journal Article", "created": "2022-01-20", "title": "Timing leaf senescence : a generalized additive models for location, scale and shape approach", "description": "Accurate estimations of phenophases in deciduous trees are important to understand forest ecosystems and their feedback on the climate. In particular, the timing of leaf senescence is of fundamental importance to trees' nutrient stoichiometry and drought tolerance and therefore to trees' vigor and fecundity. Nevertheless, there is no integrated view on the significance, and direction, of seasonal trends in leaf senescence, especially for years characterized by extreme weather events. Difficulties in the acquisition and analyses of hierarchical data can account for this. We collected four years of chlorophyll content index (CCI) measurements in thirty-eight individuals of four deciduous tree species (Betula pendula, Fagus sylvatica, Populus tremula and Quercus robur) in Belgium, Norway and Spain, and analyzed these data using generalized additive models for location, scale and shape (GAMLSS). As a result, (I) the phenological strategy and seasonal trend of leaf senescence in these tree species could be clarified for exceptionally dry and warm years, and (II) the daily average (air) temperature, global radiation, and vapor pressure deficit could be established as main drivers behind the variation in the timing of the senescence transition date. Our results show that the onset of the re-organization phase in the leaf senescence, which we approximated and defined as local minima in the second derivative of a CCI graph, was in all species mainly negatively affected by the average temperature, global radiation and vapor pressure deficit. All together the variables explained 89 to 98% of the variability in the leaf senescence timing. An additional finding is that the generalized beta type 2 and generalized gamma distributions are well suited to model the chlorophyll content index, while the senescence transition date can be modeled using the normal-exponential-student-t, generalized gamma and zero-inflated Box-Cox Cole and Green distributions for beech, oak and birch, and poplar, respectively.", "keywords": ["0106 biological sciences", "Physics", "ta1183", "Silver birch", "15. Life on land", "01 natural sciences", "Generalized additive models for location", "Scale and shape", "European beech", "Pedunculate oak", "Chemistry", "Leaf senescence", "13. Climate action", "European aspen", "ta1181", "0101 mathematics", "Biology"]}, "links": [{"href": "https://doi.org/10.1016/j.agrformet.2022.108823"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20and%20Forest%20Meteorology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agrformet.2022.108823", "name": "item", "description": "10.1016/j.agrformet.2022.108823", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agrformet.2022.108823"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-03-01T00:00:00Z"}}, {"id": "10.1088/1748-9326/aa9c5c", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:17:43Z", "type": "Journal Article", "created": "2017-11-22", "title": "Gap assessment in current soil monitoring networks across Europe for measuring soil functions", "description": "Soil is the most important natural resource for life on Earth after water. Given its fundamental role in sustaining the human population, both the availability and quality of soil must be managed sustainably and protected. To ensure sustainable management we need to understand the intrinsic functional capacity of different soils across Europe and how it changes over time. Soil monitoring is needed to support evidence-based policies to incentivise sustainable soil management. To this aim, we assessed which soil attributes can be used as potential indicators of five soil functions; (1) primary production, (2) water purification and regulation, (3) carbon sequestration and climate regulation, (4) soil biodiversity and habitat provisioning and (5) recycling of nutrients. We compared this list of attributes to existing national (regional) and EU-wide soil monitoring networks. The overall picture highlighted a clearly unbalanced dataset, in which predominantly chemical soil parameters were included, and soil biological and physical attributes were severely under represented. Methods applied across countries for indicators also varied. At a European scale, the LUCAS-soil survey was evaluated and again confirmed a lack of important soil biological parameters, such as C mineralisation rate, microbial biomass and earthworm community, and soil physical measures such as bulk density. In summary, no current national or European monitoring system exists which has the capacity to quantify the five soil functions and therefore evaluate multi-functional capacity of a soil and in many countries no data exists at all. This paper calls for the addition of soil biological and some physical parameters within the LUCAS-soil survey at European scale and for further development of national soil monitoring schemes.", "keywords": ["[SDE] Environmental Sciences", "570", "[SDV]Life Sciences [q-bio]", "Science", "QC1-999", "soil functions;soil monitoring networks;soil attributes;Europe", "Environmental technology. Sanitary engineering", "630", "12. Responsible consumption", "GE1-350", "TD1-1066", "2. Zero hunger", "Physics", "Q", "04 agricultural and veterinary sciences", "soil functions", "15. Life on land", "S590 Soill / Talajtan", "soil monitoring networks", "6. Clean water", "[SDV] Life Sciences [q-bio]", "Europe", "Environmental sciences", "soil attributes", "13. Climate action", "[SDE]Environmental Sciences", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "https://hal.inrae.fr/hal-02622332/file/2017_Leeuwen_Environmental%20Research%20Letters_1.pdf"}, {"href": "https://doi.org/10.1088/1748-9326/aa9c5c"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Research%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1088/1748-9326/aa9c5c", "name": "item", "description": "10.1088/1748-9326/aa9c5c", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1088/1748-9326/aa9c5c"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-12-01T00:00:00Z"}}, {"id": "/publisher", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:14:21Z", "type": "Dataset", "title": "Soil moisture and temperature datasets in LIDO orchard", "description": "Soil moisture and temperature timeserie datasets of the apple orchard located in the Laimburg Integrated Digital Orchard in Bolzano province. The timeseries collects data about soil moisture and temperature at 20 cm, 30 cm and 40 cm under the soil surface in 3 different position of the orchard. Acquisition frequency is 30 minutes for all the parameters.", "keywords": ["agricultural-and-aquaculture-facilities", "cct", "eu", "sensor", "soil", "soil-moisture", "temperature", "water"]}, "links": [{"href": "https://doi.org/10.48784/d41997c7-d9ea-4f10-bd2e-baf1d96bb8f8"}, {"href": "http://data.europa.eu/88u/dataset/d41997c7-d9ea-4f10-bd2e-baf1d96bb8f8"}, {"rel": "self", "type": "application/geo+json", "title": "/publisher", "name": "item", "description": "/publisher", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items//publisher"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "-Str\u00e4nders-jordart-och-eroderbarhet", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[11.03, 55.36], [11.03, 69.11], [23.9, 69.11], [23.9, 55.36], [11.03, 55.36]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "National"}], "scheme": "https://inspire.ec.europa.eu/metadata-codelist/SpatialScope"}, {"concepts": [{"id": "MensMeu"}], "scheme": "Source"}, {"concepts": [{"id": "Sweden"}], "scheme": "http://publications.europa.eu/resource/authority/country"}, {"concepts": [{"id": "soil erosion"}], "scheme": "http://aims.fao.org/aos/agrovoc/c_330883"}], "updated": "2019-01-01", "type": "Dataset", "language": "swe", "title": "Beach soil type and erodability", "description": "Localisation of erosion of soil and beaches", "formats": [{"name": "application/pdf"}, {"name": "web"}, {"name": "OGC:WMS"}, {"name": "canonical"}], "keywords": ["soil degradation processes", "National", "MensMeu", "Sweden", "soil erosion"], "contacts": [{"name": "Johan Stendahl,", "organization": "Swedish University of Agricultural Sciences (SLU)", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "johan.stendahl@slu.se"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": "Sweden"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": null, "name_url": "", "description": null, "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}]}, "links": [{"href": "https://resource.sgu.se/dokument/produkter/produktblad/strandernas-jordart-och-eroderbarhet.pdf", "name": "PDF", "protocol": "application/pdf", "rel": null}, {"href": "https://apps.sgu.se/sgumapviewer/kartvisare-stranders-jordart-eroderbarhet.html", "name": "Web application", "protocol": "web", "rel": null}, {"href": "https://maps3.sgu.se/geoserver/jord/wms", "name": "jord:SE.GOV.SGU.JORD.GRUNDLAGER.STRAND_JORDART.25K", "description": "JORDART", "protocol": "OGC:WMS", "rel": null}, {"href": "https://maps3.sgu.se/geoserver/jord/wms", "name": "jord:SE.GOV.SGU.JORD.GRUNDLAGER.STRAND_ERODERBARHET.25K", "description": "ERODERBARHET", "protocol": "OGC:WMS", "rel": null}, {"href": "https://github.com/ejpsoil/ejpsoildatahub/tree/main/datasets/mensmeu/Sweden/-Stranders-jordart-och-eroderbar.yml", "name": "Source of the record", "protocol": "canonical", "rel": "canonical"}, {"rel": "self", "type": "application/geo+json", "title": "-Str\u00e4nders-jordart-och-eroderbarhet", "name": "item", "description": "-Str\u00e4nders-jordart-och-eroderbarhet", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/-Str\u00e4nders-jordart-och-eroderbarhet"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "/", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:14:20Z", "type": "Dataset", "title": "DrSch\u00e4r mais field monitoring timeseries", "description": "Timeseries of the DrSch\u00e4r field monitoring in Este (PD) during summer 2022. Dataset of the soil temperature and soil humidity collected from different type of sensors distributed among the mais field. In the field were installed different types of sensors as many TDR sensors and one capacitive sensor; they collect temperature and humidity of the soil. The data from the sensor were collected by two networks: a Zigbee-based and one LoraWAN-based network.", "keywords": ["capacitive", "environmental-monitoring-facilities", "eu", "humidity", "irrigation", "lorawan", "mais", "sensor", "soil", "soil-moisture", "tdr", "temperature", "water", "zigbee"]}, "links": [{"href": "http://data.europa.eu/88u/dataset/17af841d-1329-4c5a-a8b8-c4326f0614f9"}, {"rel": "self", "type": "application/geo+json", "title": "/", "name": "item", "description": "/", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items//"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "0086CC52-6F67-4393-99BE-7D3AB1B84160", "type": "Feature", "geometry": null, "properties": {"updated": "2024-04-23T00:00:00Z", "type": "Dataset", "language": "de", "title": "Ground map of the Federal Republic of Germany 1:5.000.000", "description": "The soil overview map presented here on a scale of 1:5,000,000 was derived from the legend units of the B\u00dcK1000N by means of a further content and spatial summary. This summary was based on the information on the soil source rocks and resulted in 20 soil science (23) legend units with map polygons of at least 64 square kilometers in size.", "formats": [{"name": "PDF"}], "keywords": ["High value dataset", "ackerbauliches-ertragspotential", "boden", "bodenart", "bodenausgangsgestein", "bodenauslaugung", "bodenbearbeitung", "bodenbelastung", "bodenbildung", "bodenbiologie", "bodenchemie", "bodendegradation", "bodendekontamination", "bodeneigenschaften", "bodenerosion", "bodenfeuchtigkeit", "bodenform", "bodenfruchtbarkeit", "bodenfunktion", "bodengefu\u0308ge", "bodengesellschaft", "bodengestaltung", "bodengruppe", "bodengu\u0308te", "bodenhorizont", "bodeninformationssystem", "bodenkarte", "bodenluft", "bodenmechanik", "bodenmineralogie", "bodennutzbarkeit", "bodennutzung", "bodenphysikalische-eigenschaften", "bodenprofil", "bodenskelett", "bodensubstrat", "bodensystematik", "bodentyp", "bodenverbreitung", "bundesrepublik-deutschland", "de", "durchla\u0308ssigkeit", "effektive-durchwurzelungstiefe", "erdbeobachtung-und-umwelt", "fachinformationssystem", "inspireidentifiziert", "national", "opendata", "soil"], "contacts": [{"organization": "Bundesanstalt f\u00fcr Geowissenschaften und Rohstoffe (BGR)", "roles": ["creator"]}]}, "links": [{"href": "https://download.bgr.de/bgr/Boden/BUEK5000/jpg/buek5000_v30.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK5000/pdf/buek5000_v30.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK5000/png/buek5000_v30.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK5000/shp/buek5000_v30.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK5000/tiff/buek5000_v30.zip"}, {"href": "http://data.europa.eu/88u/dataset/0086cc52-6f67-4393-99be-7d3ab1b84160~~2"}, {"rel": "self", "type": "application/geo+json", "title": "0086CC52-6F67-4393-99BE-7D3AB1B84160", "name": "item", "description": "0086CC52-6F67-4393-99BE-7D3AB1B84160", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0086CC52-6F67-4393-99BE-7D3AB1B84160"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "10.1002/jeq2.20119", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:14:31Z", "type": "Journal Article", "created": "2020-07-01", "title": "Global Research Alliance N2O chamber methodology guidelines: Summary of modeling approaches", "description": "Abstract<p>Measurements of nitrous oxide (N2O) emissions from agriculture are essential for understanding the complex soil\uffe2\uff80\uff93crop\uffe2\uff80\uff93climate processes, but there are practical and economic limits to the spatial and temporal extent over which measurements can be made. Therefore, N2O models have an important role to play. As models are comparatively cheap to run, they can be used to extrapolate field measurements to regional or national scales, to simulate emissions over long time periods, or to run scenarios to compare mitigation practices. Process\uffe2\uff80\uff90based models can also be used as an aid to understanding the underlying processes, as they can simulate feedbacks and interactions that can be difficult to distinguish in the field. However, when applying models, it is important to understand the conceptual process differences in models, how conceptual understanding changed over time in various models, and the model requirements and limitations to ensure that the model is well suited to the purpose of the investigation and the type of system being simulated. The aim of this paper is to give the reader a high\uffe2\uff80\uff90level overview of some of the important issues that should be considered when modeling. This includes conceptual understanding of widely used models, common modeling techniques such as calibration and validation, assessing model fit, sensitivity analysis, and uncertainty assessment. We also review examples of N2O modeling for different purposes and describe three commonly used process\uffe2\uff80\uff90based N2O models (APSIM, DayCent, and DNDC).</p", "keywords": ["Environmental Engineering", "Monitoring", "330", "Supplementary Data", "QH301 Biology", "Nitrous Oxide", "01 natural sciences", "QH301", "Soil", "NE/M021327/1", "SDG 13 - Climate Action", "774378", "European Commission", "Waste Management and Disposal", "Water Science and Technology", "0105 earth and related environmental sciences", "Policy and Law", "Natural Environment Research Council (NERC)", "NE/P019455/1", "Uncertainty", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "Pollution", "Management", "13. Climate action", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1002/jeq2.20119"}, {"href": "https://doi.org/10.1002/jeq2.20119"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Environmental%20Quality", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/jeq2.20119", "name": "item", "description": "10.1002/jeq2.20119", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/jeq2.20119"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-08-27T00:00:00Z"}}, {"id": "02F23B5B-5FB8-48BA-ADDA-7ECA7481C4DE", "type": "Feature", "geometry": null, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "National"}], "scheme": "https://inspire.ec.europa.eu/metadata-codelist/SpatialScope"}, {"concepts": [{"id": "MensMeu"}], "scheme": "Source"}, {"concepts": [{"id": "Germany"}], "scheme": "http://publications.europa.eu/resource/authority/country"}, {"concepts": [{"id": "organic carbon"}], "scheme": "http://aims.fao.org/aos/agrovoc/c_330883"}], "updated": "2007-01-01", "type": "Dataset", "created": "01-01-2007", "language": "ger", "title": "Organic matter content in topsoils of Germany", "description": "Organic Matter Content of Top-Soils in Germany 1:1,000,000", "formats": [{"name": "ogc:wms"}, {"name": "application/shp"}, {"name": "canonical"}], "keywords": ["soil type", "basic soil properties", "National", "MensMeu", "Germany", "organic carbon"], "contacts": [{"name": "Bundesanstalt f\u00fcr Geowissenschaften und Rohstoffe (BGR)", "organization": "Bundesanstalt f\u00fcr Geowissenschaften und Rohstoffe (BGR)", "position": "Technischer Ansprechpartner", "roles": ["distributor"], "phones": [{"value": null}], "emails": [{"value": "geodatenmanagement@bgr.de"}], "addresses": [{"deliveryPoint": ["Stilleweg 2"], "city": "Hannover", "administrativeArea": "DE-NI", "postalCode": "30655", "country": "DE"}], "links": [{"href": {"url": "https://www.bgr.bund.de/humus1000ob", "protocol": null, "protocol_url": "", "name": null, "name_url": "", "description": null, "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Palo di Florian", "organization": "Bundesanstalt f\u00fcr Geowissenschaften und Rohstoffe (BGR)", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "Florian.Stange@bgr.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": null, "name_url": "", "description": null, "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}]}, "links": [{"href": "https://services.bgr.de/wms/boden/humus1000ob/?", "name": "0", "description": "Die Karte der Gehalte an organischer Substanz in Oberb\u00f6den Deutschlands 1:1.000.000 visualisiert die Ergebnisse der deutschlandweiten Zusammenstellung von typischen Gehalten an organischer Substanz der Oberb\u00f6den differenziert nach 15 Bodenausgangsgesteinsgruppen, der Landnutzung und vier Klimaregionen. Die Auswertung basiert auf mehr als 9000 Bodenprofilen, zu denen qualit\u00e4tsgesicherte Daten zur organischen Substanz aus einem zwanzigj\u00e4hrigen Zeitraum vorlagen. Das methodische Vorgehen ist in dem Bericht 'Gehalte an organischer Substanz in Oberb\u00f6den Deutschlands', BGR Archiv, Nr. 0127036 dokumentiert. Die in der Karte dargestellten Klassen entsprechen der Klasseneinteilung in der Bodenkundlichen Kartieranleitung (KA5), wobei die Klassen h2\u2013h5 der KA5 jeweils in der Klassenmitte geteilt wurden. Damit gibt die Karte insbesondere in den Klassen geringer Gehalte ein differenzierteres Bild wider. Die Version 2.0 basiert auf den topographischen Grundlagen der Digitalen Topographischen Karte 1:1.000.000 (DTK1000-V) des Bundesamtes f\u00fcr Kartographie und Geod\u00e4sie, welche von der BGR in Teilen modifiziert wurde.", "protocol": "ogc:wms", "rel": null}, {"href": "https://download.bgr.de/bgr/Boden/HUMUS1000OB/shp/humus1000_ob_v20.zip", "name": "SHP", "protocol": "application/shp", "rel": null}, {"href": "https://github.com/ejpsoil/ejpsoildatahub/tree/main/datasets/mensmeu/Germany/02F23B5B-5FB8-48BA-ADDA-7ECA7481.yml", "name": "Source of the record", "protocol": "canonical", "rel": "canonical"}, {"rel": "self", "type": "application/geo+json", "title": "02F23B5B-5FB8-48BA-ADDA-7ECA7481C4DE", "name": "item", "description": "02F23B5B-5FB8-48BA-ADDA-7ECA7481C4DE", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/02F23B5B-5FB8-48BA-ADDA-7ECA7481C4DE"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "10.1002/eap.3066", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:14:29Z", "type": "Journal Article", "created": "2024-11-26", "title": "Wheat field earthworms under divergent farming systems across a European climate gradient", "description": "Abstract<p>Earthworms are a key faunal group in agricultural soils, but little is known on how farming systems affect their communities across wide climatic gradients and how farming system choice might mediate earthworms' exposure to climate conditions. Here, we studied arable soil earthworm communities on wheat fields across a European climatic gradient, covering nine pedo\uffe2\uff80\uff90climatic zones, from Mediterranean to Boreal (S to N) and from Lusitanian to Pannonian (W to E). In each zone, 20\uffe2\uff80\uff9325 wheat fields under conventional or organic farming were sampled. Community metrics (total abundance, fresh mass, and species richness and composition) were combined with data on climate conditions, soil properties, and field management and analyzed with mixed models. There were no statistically discernible differences between organic and conventional farming for any of the community metrics. The effects of refined arable management factors were also not detected, except for an elevated proportion of subsurface\uffe2\uff80\uff90feeding earthworms when crop residues were incorporated. Soil properties were not significantly associated with earthworm community variations, which in the case of soil texture was likely due to low variation in the data. Pedo\uffe2\uff80\uff90climatic zone was an overridingly important factor in explaining the variation in community metrics. The Boreal zone had the highest mean total abundance (179\uffe2\uff80\uff89individuals\uffe2\uff80\uff89m\uffe2\uff88\uff922) and fresh mass (86\uffe2\uff80\uff89g\uffe2\uff80\uff89m\uffe2\uff88\uff922) of earthworms while the southernmost Mediterranean zones had the lowest metrics (&lt;1\uffe2\uff80\uff89individual\uffe2\uff80\uff89m\uffe2\uff88\uff922 and &lt;1\uffe2\uff80\uff89g\uffe2\uff80\uff89m\uffe2\uff88\uff922). Within each field, species richness was low across the zones, with the highest values being recorded at the Nemoral and North Atlantic zones (mean of 2\uffe2\uff80\uff933 species per field) and declining from there toward north and south. No litter\uffe2\uff80\uff90dwelling species were found in the southernmost, Mediterranean zones. These regional trends were discernibly related to climate, with the community metrics declining with the increasing mean annual temperature. The current continent\uffe2\uff80\uff90wide warming of Europe and related increase of severe and rapid onsetting droughts will likely deteriorate the living conditions of earthworms, particularly in southern Europe. The lack of interaction between the pedo\uffe2\uff80\uff90climatic zone and the farming system in our data for any of the earthworm community metrics may indicate limited opportunities for alleviating the negative effects of a warming climate in cereal field soils of Europe.</p", "keywords": ["arable fields", "Climate", "soil biodiversity", "Agriculture", "04 agricultural and veterinary sciences", "organicfarming", "global warming", "01 natural sciences", "630", "Article", "Europe", "Soil", "climate change", "macrofauna", "organic farming", "Animals", "0401 agriculture", " forestry", " and fisheries", "farming systems", "Oligochaeta", "regional distributions", "Triticum", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Nuutinen, Visa, Briones, Maria J.I., Schrader, Stefan, Dekemati, Igor, Gruji\u0107, Nikola, Hyv\u00f6nen, Juha, Ivask, Mari, Lassen, Simon Bo, Lloret, Eva, Ollio, Irene, P\u00e9rez-Rodr\u00edguez, Paula, Simon, Barbara, Sutri, Merit, de Sutter, Nancy, Brandt, Kristian K., Peltoniemi, Krista, Shanskiy, Merrit, Waeyenberge, Lieven, Mart\u00ednez-Mart\u00ednez, Silvia, Fern\u00e1ndez-Calvi\u00f1o, David,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1002/eap.3066"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecological%20Applications", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/eap.3066", "name": "item", "description": "10.1002/eap.3066", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/eap.3066"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-25T00:00:00Z"}}, {"id": "039c6685-1b2f-407c-b3a6-c4e63fb3e22a", "type": "Feature", "geometry": null, "properties": {"updated": "2025-07-02T00:00:00Z", "type": "Dataset", "language": "de", "title": "Floor overview map 1:400.000", "description": "The soil overview map on a scale of 1:400 000 (B\u00dcK400) depicts various soil societies, each of which differs in landscape terms due to its soil typological characteristics, its soil substrates (soil outlet rocks) and its relief location (morphology). The B\u00dcK400 served as a data basis for the creation of soil atlases and geochemical maps. In addition, the B\u00dcK400 is used as an overview map for regional and supra-regional planning of various kinds. It does not build on the larger-scale soil overview maps B\u00dcK200 and BK50, but is an independent map based on various geofactors due to the summary of similar or comparable soil societies. The B\u00dcK400 was completely ground- and substrate-systematically revised in 2017 according to KA5 (Soil Mapping Instructions of the State Geological Services and the Federal Institute for Geosciences and Natural Resources, 5th edition, Hanover 2005) and is available digitally for download with legend and as an interactive map.", "formats": [{"name": "HTML"}], "keywords": ["boden", "bodenart", "bodenkarte", "bodentextur", "de", "deutschland", "sachsen"], "contacts": [{"organization": "Br\u00e4unig, Arnd, Dr.", "roles": ["creator"]}, {"organization": "urn:uuid:ef916bfc-5d97-a8bb-a117-b10e5da45c6b", "roles": ["publisher"]}]}, "links": [{"href": "https://luis.sachsen.de/arcgis/services/boden/buek400/MapServer/WFSServer?request=GetCapabilities&service=WFS"}, {"href": "https://luis.sachsen.de/arcgis/services/boden/buek400/MapServer/WMSServer?service=wms&request=GetCapabilities"}, {"href": "https://luis.sachsen.de/boden/buek400.html"}, {"href": "https://luis.sachsen.de/boden/geodatendownload.html"}, {"href": "https://www.umwelt.sachsen.de/umwelt/infosysteme/fme/data/boden/buek400/Steckbrief_B%C3%9CK400_2025.pdf"}, {"href": "http://data.europa.eu/88u/dataset/039c6685-1b2f-407c-b3a6-c4e63fb3e22a"}, {"rel": "self", "type": "application/geo+json", "title": "039c6685-1b2f-407c-b3a6-c4e63fb3e22a", "name": "item", "description": "039c6685-1b2f-407c-b3a6-c4e63fb3e22a", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/039c6685-1b2f-407c-b3a6-c4e63fb3e22a"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "04481ab6-e5ee-4742-a330-88649c17b2ce", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[2.75, 49.45], [2.75, 50.85], [6.5, 50.85], [6.5, 49.45], [2.75, 49.45]]]}, "properties": {"themes": [{"concepts": [{"id": "biota"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Sol et sous-sol"}, {"id": "Nature et environnement"}, {"id": "Agriculture"}], "scheme": "https://metawal.wallonie.be/thesaurus/theme-geoportail-wallon"}, {"concepts": [{"id": "dynamique naturelle"}, {"id": "sol"}, {"id": "biologie"}], "scheme": "http://geonetwork-opensource.org/gemet-theme"}, {"concepts": [{"id": "biologie du sol"}, {"id": "organisme du sol"}, {"id": "carbone organique"}, {"id": "mod\u00e9lisation"}, {"id": "surveillance de l'environnement"}, {"id": "prairie"}, {"id": "qualit\u00e9 du sol"}, {"id": "donn\u00e9es sur l'\u00e9tat de l'environnement"}, {"id": "type de sol"}, {"id": "conservation du sol"}, {"id": "carbone organique total"}, {"id": "sol"}, {"id": "station de surveillance"}, {"id": "cartographie"}, {"id": "mati\u00e8re organique"}, {"id": "carbone"}, {"id": "for\u00eat"}, {"id": "analyse des sols"}, {"id": "cycle du carbone"}, {"id": "cartogramme"}, {"id": "profil du sol"}, {"id": "utilisation du sol"}, {"id": "r\u00e9seau de mesure"}, {"id": "culture"}, {"id": "stockage"}, {"id": "ressources du sol"}, {"id": "sous-sol"}], "scheme": "http://geonetwork-opensource.org/gemet"}, {"concepts": [{"id": "Open Data"}, {"id": "PanierTelechargementGeoportailNO"}, {"id": "Reporting INSPIRE"}, {"id": "WalOnMapNO"}, {"id": "Extraction_DIG"}, {"id": "BDInfraSIG"}], "scheme": "https://metawal.wallonie.be/thesaurus/infrasig"}, {"concepts": [{"id": "Sols"}], "scheme": "http://inspire.ec.europa.eu/theme"}, {"concepts": [{"id": "R\u00e9gional"}], "scheme": "http://inspire.ec.europa.eu/metadata-codelist/SpatialScope"}, {"concepts": [{"id": "2023/138 - High Value Datasets Regulation"}], "scheme": "http://data.europa.eu/r5r/applicableLegislation"}, {"concepts": [{"id": "Observation de la terre et environnement"}], "scheme": "http://data.europa.eu/bna/asd487ae75"}], "updated": "2024-12-11T12:48:19.626322Z", "type": "Dataset", "created": "2024-10-30", "language": "fre", "title": "INSPIRE - CARBIOSOL - Predicted total organic carbon levels - period 2004-2014 in Wallonia (BE)", "description": "Cette couche de donn\u00e9es INSPIRE reprend les teneurs en Carbone Organique Total dans les sols agricoles du territoire wallon pour la p\u00e9riode 2004-2014.\n\nCette donn\u00e9e conforme INSPIRE est issue de la donn\u00e9e source CARBIOSOL - Teneurs pr\u00e9dites en Carbone organique total - p\u00e9riode 2004-2014.\n\nLa qualit\u00e9 d\u2019un sol peut \u00eatre \u00e9valu\u00e9e gr\u00e2ce \u00e0 l\u2019\u00e9tude de divers param\u00e8tres physiques, chimiques ou biologiques. Parmi ces param\u00e8tres, le carbone organique des sols, qui constitue plus de 50% de la masse de la mati\u00e8re organique du sol, est g\u00e9n\u00e9ralement consid\u00e9r\u00e9 comme l'indicateur principal de la qualit\u00e9 des sols, \u00e0 la fois pour ses fonctions agricoles et environnementales.\n\nLa pr\u00e9sente couche de donn\u00e9es constitue la cartographie des teneurs en carbone organique total (COT) pour les sols sous cultures et prairies permanentes en R\u00e9gion wallonne pour une p\u00e9riode comprise entre 2004 et 2014. La couche a \u00e9t\u00e9 cr\u00e9\u00e9e par m\u00e9thode de mod\u00e9lisation spatiale d\u00e9velopp\u00e9e par l'UCL dans le cadre de la convention CARBIOSOL.\n\nPour plus de d\u00e9tails sur la constitution des couches cartographiques g\u00e9n\u00e9r\u00e9es dans le cadre du projet CARBIOSOL, veuillez-vous r\u00e9f\u00e9rer \u00e0 la fiche de m\u00e9tadonn\u00e9es documentant la s\u00e9rie de couches de donn\u00e9es.\n\nEn chaque pixel, la teneur en carbone organique total (COT) est exprim\u00e9e en gramme de carbone par kilogramme de terre fine s\u00e8che (gC/kg). Le r\u00e9sultat en sortie du mod\u00e8le est une couche raster des teneurs en COT \u00e0 90 m\u00e8tres de r\u00e9solution et spatialement continue sur le territoire agricole wallon.\n\nLes teneurs moyennes en COT observ\u00e9es pour les sols (horizons de surface) sous cultures et prairies permanentes sur la p\u00e9riode 2004-2014 \u00e9taient de 1.30 gC/kg et 3.61 gC/kg respectivement, d\u2019apr\u00e8s la base de donn\u00e9es REQUASUD.\n\nSur cette m\u00eame p\u00e9riode, 22 % des superficies sous cultures pr\u00e9sentaient des teneurs en COT < 1.15 gC kg-1 et 73 % pr\u00e9sentaient des teneurs < 1.5 gC/kg. En de\u00e7\u00e0 de 1.15 gC/kg, le sol est d\u00e9structur\u00e9.\n\nEntre 2004 et 2014, les teneurs en COT des sols pour les deux occupations de sols tendent \u00e0 augmenter du nord-ouest au sud-est, de la r\u00e9gion sablo-limoneuse \u00e0 la r\u00e9gion ardennaise, et \u00e0 rebaisser en r\u00e9gion Jurassique.", "formats": [{"name": "TIFF (.tif"}, {"name": " .tiff)"}, {"name": "WWW:LINK"}, {"name": "OGC:WMS"}, {"name": "atom:feed"}], "keywords": ["Sol et sous-sol", "Nature et environnement", "Agriculture", "dynamique naturelle", "sol", "biologie", "biologie du sol", "organisme du sol", "carbone organique", "mod\u00e9lisation", "surveillance de l'environnement", "prairie", "qualit\u00e9 du sol", "donn\u00e9es sur l'\u00e9tat de l'environnement", "type de sol", "conservation du sol", "carbone organique total", "sol", "station de surveillance", "cartographie", "mati\u00e8re organique", "carbone", "for\u00eat", "analyse des sols", "cycle du carbone", "cartogramme", "profil du sol", "utilisation du sol", "r\u00e9seau de mesure", "culture", "stockage", "ressources du sol", "sous-sol", "Open Data", "PanierTelechargementGeoportailNO", "Reporting INSPIRE", "WalOnMapNO", "Extraction_DIG", "BDInfraSIG", "COT", "COS", "CARBIOSOL", "CARBOSOL", "RSS", "teneur en carbone", "Aardewerk", "CNSW", "COSW", "REQUASUD", "RMSE", "GAM", "Mod\u00e8le Additif G\u00e9n\u00e9ralis\u00e9", "MAG", "Monte-Carlo", "covariable", "CO2", "Digital Soil Mapping", "DTM", "Erreur", "horizon de sol", "Sols", "R\u00e9gional", "2023/138 - High Value Datasets Regulation", "Observation de la terre et environnement"], "contacts": [{"name": null, "organization": "Helpdesk carto du SPW (SPW - Secr\u00e9tariat g\u00e9n\u00e9ral - SPW Digital - D\u00e9partement Donn\u00e9es transversales - Gestion et valorisation de la donn\u00e9e)", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "helpdesk.carto@spw.wallonie.be"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": null, "organization": "Direction de la Protection des Sols (SPW - Agriculture, Ressources naturelles et Environnement - D\u00e9partement du Sol et des D\u00e9chets - Direction de la Protection des Sols)", "position": null, "roles": ["custodian"], "phones": [{"value": null}], "emails": [{"value": "esther.goidts@spw.wallonie.be"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": null, "organization": "Service public de Wallonie (SPW)", "position": null, "roles": ["owner"], "phones": [{"value": null}], "emails": [{"value": "helpdesk.carto@spw.wallonie.be"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": "https://geoportail.wallonie.be", "protocol": "WWW:LINK", "protocol_url": "", "name": "G\u00e9oportail de la Wallonie", "name_url": "", "description": "G\u00e9oportail de la Wallonie", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": "information"}}]}, {"name": "Caroline Chartin", "organization": "Universit\u00e9 catholique de Louvain - Earth and Life Institute (UCL - ELI)", "position": null, "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "caroline.chartin@uclouvain.be"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": null, "organization": "Cellule SIG du SPW ARNE (SPW - Agriculture, Ressources naturelles et Environnement - D\u00e9partement de l'\u00c9tude du milieu naturel et agricole - Direction de la Coordination des Donn\u00e9es)", "position": null, "roles": ["processor"], "phones": [{"value": null}], "emails": [{"value": "sig.dgarne@spw.wallonie.be"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": null, "organization": "R\u00e9seau Qualit\u00e9 Sud (REQUASUD ASBL)", "position": null, "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "requasud@cra.wallonie.be"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "Universit\u00e9 catholique de Louvain - Earth and Life Institute (UCL - ELI);R\u00e9seau Qualit\u00e9 Sud (REQUASUD ASBL)", "roles": ["creator"]}], "title_alternate": "SO.SoilThemeCoverage.COT__TENEURS_2004_2014", "distancevalue": "90", "distanceuom": "m"}, "links": [{"href": "https://geoportail.wallonie.be/walonmap#PANIER=%5B%7B%22serviceId%22%3A%221%22%2C%22visible%22%3Atrue%2C%22url%22%3A%22https%3A%2F%2Fgeoservices.wallonie.be%2Farcgis%2Frest%2Fservices%2FSOL_SOUS_SOL%2FCARBIOSOL%2FMapServer%2F3%22%2C%22label%22%3A%22CARBIOSOL%20-%20Teneurs%20pr%C3%A9dites%20en%20Carbone%20organique%20total%20-%20p%C3%A9riode%202015-2019%22%2C%22type%22%3A%22AGS_DYNAMIC%22%2C%22metadataUrl%22%3A%22https%3A%2F%2Fgeodata.wallonie.be%2Fdoc%2F04481ab6-e5ee-4742-a330-88649c17b2ce%22%7D%5D", "name": "Application WalOnMap - Toute la Wallonie \u00e0 la carte", "description": "Application cartographique du Geoportail (WalOnMap) qui permet de d\u00e9couvrir les donn\u00e9es g\u00e9ographiques de la Wallonie.", "protocol": "WWW:LINK", "rel": "browsing"}, {"href": "https://geoservices.wallonie.be/geoserver/inspire_so/ows?service=WMS&version=1.3.0&request=GetCapabilities", "name": "INSPIRE - Sols en Wallonie (BE) - Service de visualisation WMS", "protocol": "OGC:WMS", "rel": null}, {"href": "https://geoservices.wallonie.be/inspire/atom/SO_Service.xml", "name": "INSPIRE - Sols en Wallonie (BE) - Service de t\u00e9l\u00e9chargement", "protocol": "atom:feed", "rel": null}, {"href": "https://metawal.wallonie.be/geonetwork/srv/api/records/04481ab6-e5ee-4742-a330-88649c17b2ce/attachments/SO.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "04481ab6-e5ee-4742-a330-88649c17b2ce", "name": "item", "description": "04481ab6-e5ee-4742-a330-88649c17b2ce", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/04481ab6-e5ee-4742-a330-88649c17b2ce"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2004-01-01T00:00:00Z", "2014-01-01T00:00:00Z"]}}, {"id": "054df080-7c62-11e3-857a-8851fb422c62", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:14:23Z", "type": "Dataset", "language": "de", "title": "Potential soil erosion risk on arable soils in Germany 1:1,000,000", "description": "The Potential Soil Erosion Risk map gives an overview of the exposure of arable soils to soil loss due to surface runoff and splash erosion in Germany. It is based on pedological, relief and climatic factors. The map was created by using the long-term model USLE (Universal Soil Loss Equation). The method is published in the DIN 19708:2005-02 and in the documentation of Ad-hoc-AG Boden (representing the soil experts of the geological services of the German federal states). For the application with soil maps, the method was adapted by the Federal Institute for Geosciences and Natural Resources (BGR).The landuse stratified soil map of Germany at scale 1:1,000,000 was used as pedological input to the model. The relief data was derived from the DEM50 of the BKG. The mean annual precipitation data of the period 1961-1990 (DWD) is used to model the erosivity of rainfall. The land use information is derived from CORINE land cover data set (2006).", "formats": [{"name": "PDF"}], "keywords": ["abag", "bodenerosion-durch-wasser", "bundesrepublik-deutschland", "de", "erosionsdisposition", "erosionsgefa\u0308hrdung", "inspireidentifiziert", "on-site-schaden", "opendata", "soil", "usle"], "contacts": [{"organization": "Stegger, Ulrich", "roles": ["creator"]}]}, "links": [{"href": "https://download.bgr.de/bgr/Boden/PEGWASSER1000/geotiff/pegwasser1000_250_v10.zip"}, {"href": "https://download.bgr.de/bgr/Boden/PEGWASSER1000/jpg300/pegwasser1000_250_v10.zip"}, {"href": "https://download.bgr.de/bgr/Boden/PEGWASSER1000/pdf/pegwasser1000_250_v10.zip"}, {"href": "https://download.bgr.de/bgr/Boden/PEGWASSER1000/png150/pegwasser1000_250_v10.zip"}, {"href": "https://download.bgr.de/bgr/Boden/PEGWASSER1000/tiff300/pegwasser1000_250_v10.zip"}, {"href": "http://data.europa.eu/88u/dataset/876f61a9-36c0-4cdd-9fc1-c243685bc1e8~~1"}, {"rel": "self", "type": "application/geo+json", "title": "054df080-7c62-11e3-857a-8851fb422c62", "name": "item", "description": "054df080-7c62-11e3-857a-8851fb422c62", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/054df080-7c62-11e3-857a-8851fb422c62"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "0505186a-3973-17e2-7623-76235b0930d4", "type": "Feature", "geometry": null, "properties": {"updated": "1970-01-01", "type": "Dataset", "title": "INSPIRE Download Service (predefined ATOM) for dataset BFD5L_M100", "description": "Description of the INSPIRE Download Service (predefined Atom): Field capacity of the root space according to soil area data Hessen 1:5000 for agricultural land (BFD5L) - The field capacity (FK) refers to the water content of a naturally stored soil that adjusts against gravity at a site two to three days after full water saturation. - The link(s) for downloading the dataset(s) is/are dynamically generated from a metadata set", "formats": [{"name": "ATOM"}], "keywords": ["bfd5l", "boden", "bodenfla\u0308chendaten", "bodenschutz", "de", "feldkapazita\u0308t", "hessen", "hlnug", "http:-data.europa.eu-bna-c_dd313021", "infofeatureaccessservice", "inspireidentifiziert", "opendata", "regional", "soil"]}, "links": [{"href": "https://www.geoportal.hessen.de/mapbender//php/mod_inspireDownloadFeed.php?id=0505186a-3973-17e2-58a9-63696e794a36&type=SERVICE&generateFrom=metadata"}, {"href": "http://data.europa.eu/88u/dataset/0505186a-3973-17e2-7623-76235b0930d4"}, {"rel": "self", "type": "application/geo+json", "title": "0505186a-3973-17e2-7623-76235b0930d4", "name": "item", "description": "0505186a-3973-17e2-7623-76235b0930d4", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0505186a-3973-17e2-7623-76235b0930d4"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "064385a1-0202-11ea-b222-10e7c63313a0", "type": "Feature", "geometry": null, "properties": {"updated": "2022-03-17T00:00:00Z", "type": "Dataset", "language": "de", "title": "Land use-stratified soil map of Germany at scale 1:1,000,000", "description": "The Land use-stratified soil map of Germany at scale 1:1,000,000 (BUEK1000N), version 2.32, presents the distribution of soils and their associations nationwide in a uniform form at the aggregation level of the lead soil associations, which were intersected with 14 generalized and adjusted land use classes from CORINE Land Cover 1990. It did not appear as an analog map like the three subextracts of cropland, grassland, and forest. The digital map graphic is supplemented by climate regions, soil regions, and soil landscapes. The legend comprises 69 soil legend units with leading and accompanying soils (and information on the soil depth, the soil types, water conditions and the parent material), arranged according to soil distribution areas, partial legends arable land, grassland and forest, each subdivided according to climatic regions. The area-related content data are composed of 76 forest reference profiles, 78 cropland reference profiles, and 56 grassland reference profiles and are stored in a relational database. An additional 54-page booklet with explanations of the BUEK1000N can be purchased at GeoCenter Touristik Medienservice GmbH in 70565 Stuttgart, Germany, if required. The digital map graphics of version 2.32 are based on the topographic map of the Digital Landscape Model 1:1,000,000 (DLM1000) of the Federal Agency for Cartography and Geodesy from 2019.", "keywords": ["bundesrepublik-deutschland", "de", "soil"], "contacts": [{"organization": "Stegger, Ulrich", "roles": ["creator"]}]}, "links": [{"href": "https://download.bgr.de/bgr/Boden/BUEK1000N/v232/Gesamt/GeoPackage/buek1000n_v232.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK1000N/v232/Gesamt/accdb/buek1000n_v232.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK1000N/v232/Gesamt/shp/buek1000n_v232.zip"}, {"href": "http://data.europa.eu/88u/dataset/9f57d939-7bf4-4e0b-a13d-2f07009e08c1"}, {"rel": "self", "type": "application/geo+json", "title": "064385a1-0202-11ea-b222-10e7c63313a0", "name": "item", "description": "064385a1-0202-11ea-b222-10e7c63313a0", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/064385a1-0202-11ea-b222-10e7c63313a0"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "06AF1400-76F1-471A-A38F-2CAFFADEDDA8", "type": "Feature", "geometry": null, "properties": {"updated": "2020-02-11T00:00:00Z", "type": "Dataset", "language": "de", "title": "Boden\u00fcbersichtskarte 1:200.000 (B\u00dcK200) - CC5510 Siegen", "description": "Die Boden\u00fcbersichtskarte 1:200.000 (B\u00dcK200) wird von der Bundesanstalt f\u00fcr Geowissenschaften und Rohstoffe (BGR) in Zusammenarbeit mit den Staatlichen Geologischen Diensten (SGD) der Bundesl\u00e4nder im Blattschnitt der Topographischen \u00dcbersichtskarte 1:200.000 (T\u00dcK200) erarbeitet und in 55 einzelnen Kartenbl\u00e4ttern herausgegeben. Die digitale, blattschnittfreie Datenhaltung bildet eine detaillierte, bundesweit einheitliche und fl\u00e4chendeckende Informationsgrundlage f\u00fcr L\u00e4nder \u00fcbergreifende Aussagen zu Bodennutzung und Bodenschutz. \u00dcber den aktuellen Bearbeitungsstand des Kartenwerks informieren die Internetseiten der BGR zum Thema Boden. Die Verbreitung und Vergesellschaftung der B\u00f6den auf dem Gebiet dieses Kartenblattes wird anhand von 84 Legendeneinheiten (gegliedert nach Bodenregionen und Bodengro\u00dflandschaften) beschrieben. Jede Legendeneinheit beinhaltet bodensystematische Informationen (Bodensubtyp) und Informationen zum Bodenausgangsgestein sowohl f\u00fcr die Leitb\u00f6den als auch f\u00fcr deren Begleiter. Im Zuge der Bearbeitung des B\u00dcK200-Nachbarblattes Frankfurt a.M.-West wurde der LBG-Datensatz von Siegen am s\u00fcdlichen Blattrand in Teilen ver\u00e4ndert (Stand 29. April 2008). Im Zuge der Bearbeitung des B\u00dcK200-Nachbarblattes K\u00f6ln wurde der LBG-Datensatz von Siegen am westlichen Blattrand angepasst. Die alte LE 58 aus der BGL 11.1 wurde der BGL 6.3 als neue LE 15 zugeordnet (Stand 23. Januar 2012). Im Rahmen der Qualit\u00e4tssicherung wurde der LBG-Datensatz von Siegen am \u00f6stlichen Blattrand leicht ver\u00e4ndert (Stand 03. Dezember 2013).", "formats": [{"name": "PDF"}], "keywords": ["ackerbauliches-ertragspotential", "boden", "bodenart", "bodenausgangsgestein", "bodenauslaugung", "bodenbearbeitung", "bodenbelastung", "bodenbildung", "bodenbiologie", "bodenchemie", "bodendegradation", "bodendekontamination", "bodeneigenschaften", "bodenerosion", "bodenfeuchtigkeit", "bodenform", "bodenfruchtbarkeit", "bodenfunktion", "bodengefu\u0308ge", "bodengesellschaft", "bodengestaltung", "bodengruppe", "bodengu\u0308te", "bodenhorizont", "bodeninformationssystem", "bodenkarte", "bodenluft", "bodenmechanik", "bodenmineralogie", "bodennutzbarkeit", "bodennutzung", "bodenphysikalische-eigenschaften", "bodenprofil", "bodenskelett", "bodensubstrat", "bodensystematik", "bodentyp", "bodenverbreitung", "de", "durchla\u0308ssigkeit", "effektive-durchwurzelungstiefe", "fachinformationssystem", "hessen", "nordrhein-westfalen", "opendata", "rheinland-pfalz", "siegen", "soil"], "contacts": [{"organization": "Bundesanstalt f\u00fcr Geowissenschaften und Rohstoffe (BGR)", "roles": ["creator"]}]}, "links": [{"href": "https://download.bgr.de/bgr/Boden/BUEK200/5510/jpg/buek200_5510.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/5510/pdf/buek200_5510.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/5510/png/buek200_5510.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/5510/shp/buek200_5510.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/5510/tiff/buek200_5510.zip"}, {"href": "http://data.europa.eu/88u/dataset/06af1400-76f1-471a-a38f-2caffadedda8"}, {"rel": "self", "type": "application/geo+json", "title": "06AF1400-76F1-471A-A38F-2CAFFADEDDA8", "name": "item", "description": "06AF1400-76F1-471A-A38F-2CAFFADEDDA8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/06AF1400-76F1-471A-A38F-2CAFFADEDDA8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "0870a304-a748-4ae9-b564-d70c19c6dbf7", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[8.29, 52.27], [8.29, 54.98], [12.16, 54.98], [12.16, 52.27], [8.29, 52.27]]]}, "properties": {"rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the Rhizo4Bio - RhizoWheat's research activities.\" Although every care has been taken in preparing and testing the data, the Rhizo4Bio - RhizoWheat and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the Rhizo4Bio - RhizoWheat and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. 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Databronnen 1. Totaal landbouwgronden - 1950 & 1970: Landbouw- en bostellingen 1950 en 1970 (Nationaal Instituut voor de Statistiek). - 1955-1969 & 1971-1979: Eurostat ZPA1. - 1980-heden: Landbouwtelling Statbel 2. Totaal bos - 1950, 1970: Landbouw- en bostellingen 1950 en 1970 (Nationaal Instituut voor de Statistiek). - 1980, 1985, 2001-2004, 2011: Schatting gebaseerd op trend van kadastrale data op de recentere bosinventarissen (1984, 1997, 2005 ...). - 1990, 2000, 2005: Bosinventarissen 2007. - 1980, 1985, 1990, 2000, 2005: Inclusief percelen die als \"landbouwgronden\" in het kadaster worden vermeld. - 2012-heden: zelfde waarden als 2011 werden genomen als schatting. 3. Bebouwde gronden en aanverwante terreinen - Kadaster (FOD Financi\u00ebn). - Rubriek 3.7 bevat ook enkele delen van de grote waterlopen. 7. Water - 1955-1976: Eurostat ZPA1. - 1985, 2001-heden: nowcasting (extrapolation). - 1990, 2000: Bron EEA-CORINE. - 1995: Ge\u00efntrapoleerd. 8. Zeegebied in de Noordzee - Vanaf 2015: MUMM-BMM-UGMM 9. Overige terreinen - Restcategorie berekend door landoppervlakte (rubriek 10) te verminderen met alle overige rubrieken. 10. Landoppervlakte - 1955-1979, 1981-1984: Eurostat ZPA1. - 1950, 1980, 1985-heden: Kadaster (FOD Financi\u00ebn). Frequency Yearly. Timing publication Results available 6 months after the reference period. 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A uniform pedoregional classification is required to ensure a comparable approach across regions. The presented data set at the aggregation level of the soil landscapes covers the 36 most important soil-relevant lithogenetic units in Germany and is based on the map of the soil landscapes at a scale of 1:250,000, version 1.4, which in turn was derived from the BUEK200/BUEK250. For the map scale 1:5,000,000 the units were generalized. 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