{"type": "FeatureCollection", "features": [{"id": "10.5281/zenodo.10959077", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:58Z", "type": "Dataset", "created": "2023-10-30", "title": "Knowledge gaps on trade-offs of soil carbon sequestration related to soil management strategies", "description": "The database contains 87 unique literature items (29 reviews, 42 meta-analyses, 16 original papers) describing the effect of a soil management strategy (tillage management, cropping systems, water management, cover crops, crop residues, livestock manure, slurry, compost, biochar, liming) on the trade-offs between soil carbon sequestration or SOC change and N2O emission, CH4 emission and nitrogen leaching. Since some literature items describe effects of several SMS categories, the database_summary tab comprises a total of 112 unique inputs. For each input it is indicated in the Database_summary tab if it was used as input for the 'Soil management effect assessment' in Maenhout et al. (2024) [Maenhout, P., Di Bene, C., Cayuela, M. L., Diaz-Pines, E., Govednik, A., Keuper, F., Mavsar, S., Mihelic, R., O'Toole, A., Schwarzmann, A., Suhadolc, M., Syp, A., & Valkama, E. (2024). Trade-offs and synergies of soil carbon sequestration: Addressing knowledge gaps related to soil management strategies. European Journal of Soil Science, 75(3), e13515. https://doi.org/10.1111/ejss.13515] and/or to define knowledge gaps ('Knowledge gap in tab'-column). Knowledge gaps and research recommendations are gouped per soil management strategy in different tabs in this database. Per soil management strategy, knowledge gaps are clustered per theme in groups. These themes include: the specific soil management strategy, pedoclimatic conditions, establishment of experiments, other soil management strategies, meta-analysis, modelling and other", "keywords": ["Water management", "EJP SOIL", "Climate change mitigation", "Nitrogen leaching", "CH4", "Conservation agriculture", "Cropping systems", "SOMMIT", "N2O", "Organic matter inputs", "Tillage"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10959077"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10959077", "name": "item", "description": "10.5281/zenodo.10959077", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10959077"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-05-13T00:00:00Z"}}, {"id": "10.5281/zenodo.15772619", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:00Z", "type": "Dataset", "title": "Dataset to: Foundation for an Austrian NIR Soil Spectral Library for Soil Health Assessments", "description": "Dataset description  This is the corresponding dataset to the publication 'Foundation for an Austrian NIR Soil Spectral Library for Soil Health Assessments' by Fohrafellner et al. (2025). In this publication, we created the first Near-Infrared (NIR) Austrian Soil Spectral Library (ASSL, 680 \u2013 2500 nm) using 2,129 legacy samples from all environmental zones of Austria. Additionally, we utilized partial least squares regression modeling to evaluate the dataset's current effectiveness for soil health assessments. The dataset contains three tabs, 'Document meta data', 'Legend' and 'Dataset'. Tab 'Document meta data' gives information on the authors, the data collection time frame, terms of use, etc. In 'Legend', each column of the 'Dataset' is described. The 'Dataset' contains information on the legacy soil samples including:\u00a0    meta data (e.g. sample number, sampling year, zip code, environmental zone, land use),   soil properties (soil organic carbon [SOC], SOC to clay ratio, total carbon, labile carbon, CaCO3, total nitrogen, plant available phosphorus, pH measured in CaCl2 and acetate, cation exchange capacity, texture [sand, silt, clay content], and clay content measured by density in suspension), and  measured NIR soil spectra, also for the standards.   Project description  This Austrian Soil Spectral Library was built within the ProbeField project (November 2021 \u2013 January 2025), which was part of the European Joint Program for SOIL \u2018Towards climate-smart sustainable management of agricultural soils\u2019 (EJP SOIL) funded by the European Union Horizon 2020 research and innovation programme (Grant Agreement N\u00b0 862695). The project aimed to create a protocol detailing procedures and methodologies for accurately estimating fertility-related properties in agricultural soils in the field. Additionally, the potential for extending this data to two- and three-dimensional mapping using co-variates was demonstrated. ProbeField further collected field spectra that closely match laboratory spectra, enabling the prediction of soil properties using models calibrated with soil spectral libraries.  References  Fohrafellner, J., Lippl, M., Bajraktarevic, A., Baumgarten, A., Spiegel, H., K\u00f6rner, R. and Sand\u00e9n, T.: Foundation for an Austrian NIR Soil Spectral Library for Soil Health Assessments, 2025, in review.", "keywords": ["EJP SOIL", "ProbeField", "Spectroscopy", " Near-Infrared", "data"], "contacts": [{"organization": "Fohrafellner, Julia", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15772619"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15772619", "name": "item", "description": "10.5281/zenodo.15772619", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15772619"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-07-07T00:00:00Z"}}, {"id": "10.5281/zenodo.16261617", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:03Z", "type": "Dataset", "title": "Dataset to: Austrian NIR Soil Spectral Library for Soil Health Assessments", "description": "Dataset description  This is the corresponding dataset to the publication 'Austrian NIR Soil Spectral Library for Soil Health Assessments' by Fohrafellner et al. (2025). In this publication, we created the first Austrian Near-Infrared (NIR) Soil Spectral Library (680 \u2013 2500 nm) using 2,129 legacy samples from all environmental zones of Austria. Additionally, we utilized partial least squares regression modeling to evaluate the dataset's current effectiveness for soil health assessments. The dataset contains three tabs, 'Document meta data', 'Legend' and 'Dataset'. Tab 'Document meta data' gives information on the authors, the data collection time frame, terms of use, etc. In 'Legend', each column of the 'Dataset' is described. The 'Dataset' contains information on the legacy soil samples including:\u00a0    meta data (e.g. sample number, sampling year, zip code, environmental zone, land use),   soil properties (soil organic carbon [SOC], SOC to clay ratio, total carbon, labile carbon, CaCO3, total nitrogen, plant available phosphorus, pH measured in CaCl2 and acetate, cation exchange capacity, texture [sand, silt, clay content], and clay content measured by density in suspension), and  measured NIR soil spectra, also for the standards.   Project description  This Austrian NIR Soil Spectral Library was built within the ProbeField project (November 2021 \u2013 January 2025), which was part of the European Joint Program for SOIL 'Towards climate-smart sustainable management of agricultural soils' (EJP SOIL) funded by the European Union Horizon 2020 research and innovation programme (Grant Agreement N\u00b0 862695). The project aimed to create a protocol detailing procedures and methodologies for accurately estimating fertility-related properties in agricultural soils in the field. Additionally, the potential for extending this data to two- and three-dimensional mapping using co-variates was demonstrated. ProbeField further collected field spectra that closely match laboratory spectra, enabling the prediction of soil properties using models calibrated with soil spectral libraries.  References  Fohrafellner, J., Lippl, M., Bajraktarevic, A., Baumgarten, A., Spiegel, H., K\u00f6rner, R. and Sand\u00e9n, T.: Austrian NIR Soil Spectral Library for Soil Health Assessments, 2025, in review.", "keywords": ["EJP SOIL", "ProbeField", "spectroscopy", "data", "near-infrared"], "contacts": [{"organization": "Fohrafellner, Julia, Lippl, Maximilian, Bajraktarevic, Armin, Baumgarten, Andreas, Spiegel, Heide, K\u00f6rner, Robert, Sand\u00e9n, Taru,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.16261617"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.16261617", "name": "item", "description": "10.5281/zenodo.16261617", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.16261617"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-07-21T00:00:00Z"}}, {"id": "10.5281/zenodo.17941270", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:11Z", "type": "Dataset", "title": "Dataset to: Austrian NIR Soil Spectral Library for Soil Health Assessments", "description": "Dataset description  This is the corresponding dataset to the publication 'Austrian NIR Soil Spectral Library for Soil Health Assessments' by Fohrafellner et al. (2025). In this publication, we created the first Austrian Near-Infrared (NIR) Soil Spectral Library (680 \u2013 2500 nm) using 2,129 legacy samples from all environmental zones of Austria. Additionally, we utilized partial least squares regression modeling to evaluate the dataset's current effectiveness for soil health assessments. The dataset contains three tabs, 'Document meta data', 'Legend' and 'Dataset'. Tab 'Document meta data' gives information on the authors, the data collection time frame, terms of use, etc. In 'Legend', each column of the 'Dataset' is described. The 'Dataset' contains information on the legacy soil samples including:\u00a0    meta data (e.g. sample number, sampling year, zip code, environmental zone, land use),   soil properties (soil organic carbon [SOC], SOC to clay ratio, total carbon, labile carbon, CaCO3, total nitrogen, plant available phosphorus, pH measured in CaCl2 and acetate, cation exchange capacity, texture [sand, silt, clay content], and clay content measured by density in suspension), and  measured NIR soil spectra, also for the standards.   Project description  This Austrian NIR Soil Spectral Library was built within the ProbeField project (November 2021 \u2013 January 2025), which was part of the European Joint Program for SOIL 'Towards climate-smart sustainable management of agricultural soils' (EJP SOIL) funded by the European Union Horizon 2020 research and innovation programme (Grant Agreement N\u00b0 862695). The project aimed to create a protocol detailing procedures and methodologies for accurately estimating fertility-related properties in agricultural soils in the field. Additionally, the potential for extending this data to two- and three-dimensional mapping using co-variates was demonstrated. ProbeField further collected field spectra that closely match laboratory spectra, enabling the prediction of soil properties using models calibrated with soil spectral libraries.  References  Fohrafellner, J., Lippl, M., Bajraktarevic, A., Baumgarten, A., Spiegel, H., K\u00f6rner, R. and Sand\u00e9n, T.: Austrian NIR Soil Spectral Library for Soil Health Assessments, 2025, in review.", "keywords": ["EJP SOIL", "ProbeField", "spectroscopy", "data", "near-infrared"], "contacts": [{"organization": "Fohrafellner, Julia, Lippl, Maximilian, Bajraktarevic, Armin, Baumgarten, Andreas, Spiegel, Heide, K\u00f6rner, Robert, Sand\u00e9n, Taru,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.17941270"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.17941270", "name": "item", "description": "10.5281/zenodo.17941270", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.17941270"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-07-21T00:00:00Z"}}, {"id": "10.1016/j.geoderma.2023.116636", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:17:05Z", "type": "Journal Article", "created": "2023-08-11", "title": "Exploitation of the SoilPRO\u00ae (SP) apparatus to measure soil surface reflectance in the field: Five case studies", "description": "The SoilPRO\u00ae (SP) is an assembly designed to acquire soil reflectance information in the field without disturbing the soil surface, and regardless of atmospheric and solar radiation conditions. This paper summarizes five case studies in which the SP assembly was used for different applications. The case studies consisted of: (1) generating surface spectral measurements under any atmospheric condition; (2) comparing the performance of the SP to the traditional bare fiber method for vicarious calibration of hyperspectral satellite sensors; (3) assessing water repellency of a soil surface governed by organic matter hydrophobicity; (4) spatial prediction of the rate of water infiltration into the soil profile as governed by the soil surface seal; and (5) using the SP apparatus to measure soil surface reflectance in South Shetland Island, Antartica under severe weather conditions. The case studies included calculation of spectral quality, prediction accuracy and measurement stability. The paper discusses each of the cases in detail and concludes that the SP (or similar assembly) is the best way to measure the reflectance of the original soil surface in the field. In the first case study, the spectrum collected by the SP under daily changing illumination was shown to be stable relative to the traditional measurement methods of contact probe or bare fiber. The second case study indicated that use of the SP for vicarious calibration is much more efficient (in terms of time and stability) than ground-truth practice over a large area, and in the third case study, the SP was able to assess a soil surface property governed by organic matter hydrophobicity better than the contact probe, which destroys the soil surface organic seal. A similar achievement was gained in the fourth case study, providing a better assessment of the water-infiltration rate into the soil. In the fifth case study, the SP demonstrated impressive high-quality acquisition of soil surface reflectance with a very low sun angle over the South Pole. Based on these case studies and the high quality of the data generated by the SP in the field, we suggest building, in parallel to the classical soil spectral libraries generated in the laboratory, field soil spectral libraries that will preserve the soil surface properties scanned in the field. We anticipate the development of more applications for the SP assembly based on the capabilities shown in this paper.", "keywords": ["EJP SOIL", "ProbeField", "Field measurements", "Science", "Soil reflectance", "EJPSOIL", "Q", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "01 natural sciences", "SoilPRO", "Soil surface properties", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2023.116636"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geoderma.2023.116636", "name": "item", "description": "10.1016/j.geoderma.2023.116636", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2023.116636"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-10-01T00:00:00Z"}}, {"id": "10.1016/j.dib.2022.108226", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:16:26Z", "type": "Journal Article", "created": "2022-04-29", "title": "Provision of metadata of European agricultural long-term experiments through BonaRes and EJP SOIL collaboration", "description": "Agricultural Long-Term Experiments (LTEs) are crucial agricultural research infrastructures for monitoring the long term effects of management and environment on crop production and soil resources. We have compiled the meta-information of 616 LTEs from 30 different countries across Europe with a duration of typically 20 years, including clustered information of the European LTEs in different categories (management operations, land use, duration, status, etc.). It consists of the updated version of the dataset published by Grosse et\u00a0al., (2020) but is extended by further LTE metadata, categories and research themes. Each set of metadata consists of up to 49 different attributes (categorical or numeric). Collected attributes were analyzed according to several research themes, including fertilization, crop rotation and tillage treatments. The collection of individual metadata was enlarged by the recent agreement between the BonaRes (www.bonares.de) and EJP SOIL (www.ejpsoil.eu) groups into the most comprehensive dataset in Europe, providing access to LTE and other, shorter running experiments. This dataset centralized past and existing information usually dispersed across several national actors. As such, it provides an extensive database that can be used by decision-makers, scientists, LTE owners and the public. The dataset can be updated in the future to foster networking and information exchange continuously.", "keywords": ["[SDV.SA]Life Sciences [q-bio]/Agricultural sciences", "2. Zero hunger", "0301 basic medicine", "[SDV.SA] Life Sciences [q-bio]/Agricultural sciences", "EJP SOIL", "Science (General)", "BonaRes", "Computer applications to medicine. Medical informatics", "R858-859.7", "Agriculture", "04 agricultural and veterinary sciences", "FAIR data principles", "15. Life on land", "630", "Europe", "LTE", "Q1-390", "03 medical and health sciences", "BonaRes ; Long-term experiments ; EJP SOIL ; FAIR data principles ; LTE ; Agriculture ; Europe", "13. Climate action", "Long-term experiments", "0401 agriculture", " forestry", " and fisheries", "BonaRe", "Data Article"]}, "links": [{"href": "https://doi.org/10.1016/j.dib.2022.108226"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Data%20in%20Brief", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.dib.2022.108226", "name": "item", "description": "10.1016/j.dib.2022.108226", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.dib.2022.108226"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-06-01T00:00:00Z"}}, {"id": "10.1016/j.geoderma.2024.116920", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:17:05Z", "type": "Journal Article", "created": "2024-05-24", "title": "A standard and protocol for in-situ measurement of surface soil reflectance", "description": "This study introduces an innovative standard and protocol approach for accurate assessment and harmonization of undisturbed soil surface spectra under field conditions, achieving laboratory-grade precision, while minimizing systematic discrepancies. The SoilPRO\u00ae assembly was employed for its efficacy in precisely measuring seven different soil samples under similar field and laboratory conditions in six different laboratories. While some discrepancies were noted in and between field and laboratory measurements, aligning the laboratory measurements with a reference sample, Lucky Bay (LB) internal soil standard (ISS), significantly reduced variations across different laboratory settings. A similar approach was employed to align field spectra using a field ISS (FISS), which could be practically applied in the field and adjusted to the laboratory reference LB before utilization. Correcting to the FISS facilitated the alignment of field reflectance among the six laboratories and closely matched with laboratory ISS measurements adjusted to the LB standard. This alignment of field reflectance with ISS-corrected laboratory measurements represents a ground-breaking achievement in field soil spectroscopy, which suffers from instabilities. It not only ensures preservation of the soil surface condition in the field, but also enables objective comparisons with all soil spectral libraries (SSLs) measurements and robust harmonization of field spectral data from different sources. The suggested method masks out technical aspects of spectral measurements in the field and prepares the signals to be analyzed for the physicochemical characteristics of the soil surface. The current study marks the first use of a controlled method for soil-surface spectroscopy measurements, opening a path for the construction of in-situ field SSLs. This advancement represents a significant step toward obtaining more accurate and standardized soil analyses of diverse surface properties under field conditions.", "keywords": ["EJP SOIL", "ProbeField", "EJPSOIL", "Science", "Q", "Field soil reflectance", "Field protocol", "0401 agriculture", " forestry", " and fisheries", "Field spectral harmonization", "Filed soil spectral library", "04 agricultural and veterinary sciences", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2024.116920"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geoderma.2024.116920", "name": "item", "description": "10.1016/j.geoderma.2024.116920", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2024.116920"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-07-01T00:00:00Z"}}, {"id": "10.1016/j.iswcr.2024.10.002", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:17:08Z", "type": "Journal Article", "created": "2024-10-09", "title": "Visible, near-infrared, and shortwave-infrared spectra as an input variable for digital mapping of soil organic carbon", "description": "This study proposes a novel methodology to employ discrete point spectra as input variable for digital mapping of soil organic carbon (SOC). Accordingly, two SOC modeling approaches were used in three agricultural sites in Czech Republic: i) machine learning (ML) including partial least squares regression (PLSR), cubist, random forest (RF), and support vector regression (SVR), and ii) regression kriging (RK) by the combination of ordinary kriging (OK) and PLSR (PLSR-K), cubist (cubist-K), RF (RF-K), and SVR (SVR-K). Models were developed on environmental predictor covariates (EPCs) and thirty genetic algorithms (GA)-selected visible, near-infrared, and shortwave-infrared (VNIR\u2013SWIR) wavelengths spectra, individually and combined. Thirty rasters were then created using interpolation of the selected spectra and served as the input variables \u2013 with and without EPCs \u2013 to test and compare the developed models and SOC predictive maps with each other and with those retrieved from the third approach: iii) kriging using OK of the measured and ML-predicted SOC. The impact of employing selected wavelengths\u2019 spectra and EPCs on models' performance was investigated using independent test samples and the uncertainty associated with the produced maps. Using interpolated spectra as the only input variable yielded a relatively acceptable accuracy (Nov\u00e1 Ves: RMSE\u00a0=\u00a00.19%, \u00dadrnice: RMSE\u00a0=\u00a00.12%, Klu\u010dov: RMSE\u00a0=\u00a00.13%). In comparison, the interpolated spectra coupled with EPCs enhanced the results. Regarding the uncertainty, however, the ML-based SOC maps were more reliable, than RK-based ones. Furthermore, maps produced using both spectra and EPCs showed less uncertainty than those constructed on the individual datasets.", "keywords": ["SOC modeling and mapping", "Regression kriging", "EJP SOIL", "ProbeField", "550", "Interpolated spectra", "EJPSOIL", "Machine learning", "Uncertainty", "TA1-2040", "Engineering (General). Civil engineering (General)"]}, "links": [{"href": "https://doi.org/10.1016/j.iswcr.2024.10.002"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Soil%20and%20Water%20Conservation%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.iswcr.2024.10.002", "name": "item", "description": "10.1016/j.iswcr.2024.10.002", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.iswcr.2024.10.002"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-03-01T00:00:00Z"}}, {"id": "10.1016/j.still.2024.106125", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:18:05Z", "type": "Journal Article", "created": "2024-04-26", "title": "On the impact of soil texture on local scale organic carbon quantification: From airborne to spaceborne sensing domains", "description": "Soil organic carbon (SOC) distribution and interaction with light is influenced by soil texture parameters (clay, silt and sand), which makes SOC prediction complicated, especially in samples with considerable pedological variability. Hence, understanding the relationship between SOC and soil texture is important within the context of SOC prediction using remote sensing data. The main objective of this study was to find the impact of soil texture on the performance of local SOC prediction models that were developed on Sentinel-2 (S2) multispectral and CASI/SASI (CS) hyperspectral airborne data as the main predictor variables. One approach to that objective was to lower the texture variance by stratification of the samples. Therefore, soil samples collected from four agricultural sites in the Czech Republic were segregated based on the i) site-based and ii) texture-based stratification strategies. Random forest (RF) models were then developed on all stratified classes with and without considering the soil texture parameters as predictor variables and results were compared with those obtained by the RF models developed on the non-stratified (NS) samples. Both stratification strategies provided more homogeneous classes, which enhanced the accuracy of SOC prediction, compared to using the NS samples. In addition, the texture-based RF models yielded higher accuracy predictions than the site-based ones. Except for sand, adding texture parameters to the main predictors improved the accuracy of the models, so that the highest prediction performance was obtained by a texture-based model developed on clay-added CS data. Overall, texture-based stratification could significantly enhance the SOC prediction, when the texture parameters were added to the S2 and CS data as the main predictor variables.", "keywords": ["EJP SOIL", "550", "Airborne hyperspectral data", "STEROPES", "Soil organic carbon", "Soil texture", "EJPSOIL", "Sentinel-2", "Stratification"]}, "links": [{"href": "https://doi.org/10.1016/j.still.2024.106125"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20and%20Tillage%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.still.2024.106125", "name": "item", "description": "10.1016/j.still.2024.106125", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.still.2024.106125"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-09-01T00:00:00Z"}}, {"id": "10.1080/05704928.2022.2128365", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:19:21Z", "type": "Journal Article", "created": "2022-10-03", "title": "Mathematical techniques to remove moisture effects from visible\u2013near-infrared\u2013shortwave-infrared soil spectra\u2014review", "description": "This is an Accepted Manuscript of an article published by Taylor & Francis in Applied Spectroscopy Reviews on 03 October 2022, available at: https://doi.org/10.1080/05704928.2022.2128365", "keywords": ["EJP Soil", "Proximal Sensing", "ProbeField", "Soil Moisture", "04 agricultural and veterinary sciences", "algorithms", "01 natural sciences", "diffuse reflectance spectroscopy", "field-moist conditions", "EJPSOIL", "0401 agriculture", " forestry", " and fisheries", "indices", "Soil moisture", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.tandfonline.com/doi/pdf/10.1080/05704928.2022.2128365"}, {"href": "https://doi.org/10.1080/05704928.2022.2128365"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Applied%20Spectroscopy%20Reviews", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1080/05704928.2022.2128365", "name": "item", "description": "10.1080/05704928.2022.2128365", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1080/05704928.2022.2128365"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-10-03T00:00:00Z"}}, {"id": "10.1111/ejss.13398", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:19:52Z", "type": "Journal Article", "created": "2023-07-12", "title": "National soil data in EU countries, where do we stand?", "description": "Abstract<p>At the European scale, soil characteristics are needed to evaluate soil quality, soil health and soil\uffe2\uff80\uff90based ecosystem services in the context of the European Green Deal. While some soil databases exist at the European scale, a much larger wealth of data is present in individual European countries, allowing a more detailed soil assessment. There is thus an urgent and crucial need to combine these data at the European scale. In the frame of a large European Joint Programme on agricultural soils launched by the European Commission, a survey was conducted in the spring of 2020, in the 24 European participating countries to assess the existing soil data sources, focusing on agricultural soils. The survey will become a contribution to the European Soil Observatory, launched in December 2020, which aims to collect metadata of soil databases related to all kind of land uses, including forest and urban soils. Based upon a comprehensive questionnaire, 170 soil databases were identified at local, regional and national scales. Soil parameters were divided into five groups: (1) main soil parameters according to the Global Soil Map specifications; (2) other soil chemical parameters; (3) other physical parameters; (4) other pedological parameters; and (5) soil biological features. A classification based on the environmental zones of Europe was used to distinguish the climatic zones. This survey shows that while most of the main pedological and chemical parameters are included in more than 70% of the country soil databases, water content, contamination with organic pollutants, and biological parameters are the least frequently reported parameters. Such differences will have consequences when developing an EU policy on soil health as proposed under the EU soil strategy for 2023 and using the data to derive soil health indicators. Many differences in the methods used in collecting, preparing, and analysing the soils were found, thus requiring harmonization procedures and more cooperation among countries and with the EU to use the data at the European scale. In addition, choosing harmonized and useful interpretation and threshold values for EU soil indicators may be challenging due to the different methods used and the wide variety of soil land\uffe2\uff80\uff90use and climate combinations influencing possible thresholds. The temporal scale of the soil databases reported is also extremely wide, starting from the '20s of the 20th century.</p", "keywords": ["Agricultural soil databases", "550", "EJP SOIL programme", "soil parameters", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "630", "soil", "Soil", "Soil data", "11. Sustainability", "soil parameter", "survey", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "agricultural soil databases", "2. Zero hunger", "EJP SOIL", "harmonisation", "indicator", "15. Life on land", "6. Clean water", "Europe", "data", "13. Climate action", "Harmonization", "harmonization", "agricultural soil database", "soil data"]}, "links": [{"href": "https://pure.iiasa.ac.at/id/eprint/18926/1/European%20J%20Soil%20Science%20-%202023%20-%20Cornu%20-%20National%20soil%20data%20in%20EU%20countries%20where%20do%20we%20stand.pdf"}, {"href": "https://doi.org/10.1111/ejss.13398"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/European%20Journal%20of%20Soil%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/ejss.13398", "name": "item", "description": "10.1111/ejss.13398", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/ejss.13398"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-07-01T00:00:00Z"}}, {"id": "10.1111/ejss.13439", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:19:52Z", "type": "Journal Article", "created": "2023-11-28", "title": "Sustainable soil management: Soil knowledge use and gaps in Europe", "description": "Abstract                   <p>Soils are the foundation of agricultural production, ecosystem functioning and human well\uffe2\uff80\uff90being. Bridging soil knowledge gaps and improving the knowledge system is crucial to meet the growing EU soil policy ambitions in the face of climate change and the ongoing trend in soil degradation. The objective of this article is to assess the current state of knowledge, knowledge use and knowledge gaps concerning sustainable soil management in Europe. This study is based on interviews with 791 stakeholders and 254 researchers and on a comprehensive review of &gt;1800 documents carried out under the European Joint Programme on agricultural soils. Despite differences in stakeholder groups, the conclusions are rather consistent and complementary. We identified major knowledge gaps with respect to (1) soil carbon stocks, (2) soil degradation and fertility and (3) strategies for improved soil management. Transcending these three areas, particularly the loss of soil organic carbon, peatland degradation and soil compaction, are most critical, thus, we stress the urgency of developing more models and monitoring programmes on soils. Stakeholders further report that insufficient transfer of existing soil research findings to practitioners is a hindrance to the adoption of sustainable soil management practices. In addition to knowledge production, soil knowledge gaps may be addressed by considering seven recommendations from the stakeholders: (1) raising awareness, (2) strengthening knowledge brokers, (3) improving relevance of research activities and resource allocation for land users, (4) peer\uffe2\uff80\uff90to\uffe2\uff80\uff90peer communication, (5) targeting advice and information, (6) improving knowledge access, and (7) providing incentives. We argue that filling and bridging knowledge gaps should be a priority for policymakers and the insights provided in the article may help prioritise research and dissemination needs enabling a transition to more sustainable soil management in Europe.</p", "keywords": ["[SDE] Environmental Sciences", "ta1172", "Sustainable soil management", "sustainable soil management", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "630", "333", "12. Responsible consumption", "Soil policy", "Soil health", "11. Sustainability", "soil policy", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "stakeholder involvement", "2. Zero hunger", "EJP SOIL", "soil health", "9. Industry and infrastructure", "Soil policy Highlights", "soil use challenges", "ta4111", "15. Life on land", "6. Clean water", "13. Climate action", "[SDE]Environmental Sciences", "JP SOIL", "Stakeholder involvement", "Soil use challenges"]}, "links": [{"href": "https://hal.inrae.fr/hal-04621243/file/Thors%C3%B8e%20et%20al%202023%20post%20print.pdf"}, {"href": "https://doi.org/10.1111/ejss.13439"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/European%20Journal%20of%20Soil%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/ejss.13439", "name": "item", "description": "10.1111/ejss.13439", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/ejss.13439"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-11-01T00:00:00Z"}}, {"id": "10.1111/ejss.13476", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:19:53Z", "type": "Journal Article", "created": "2024-03-22", "title": "Do we speak one language on the way to sustainable soil management in Europe? A terminology check via an EU\u2010wide survey", "description": "Abstract<p>European soils are under increasing pressure, making it difficult to maintain the provision of soil ecosystem services (SESs). A better understanding of soil processes is needed to counteract soil threats (STs) and to promote sustainable soil management. The EJP SOIL programme of the EU provides a framework for the necessary research. However, different definitions of soil\uffe2\uff80\uff90related terms potentially lead to varied understandings of concepts. Furthermore, there are numerous indicators available to quantify STs or SESs. As unclear communication is a key barrier that hinders the implementation of research results into practice, this study aimed to answer the question about whether the terminology of large\uffe2\uff80\uff90scale initiatives is adequately understood within the soil\uffe2\uff80\uff90science community and non\uffe2\uff80\uff90research stakeholders. An online questionnaire was used to provide definitions for 33 soil\uffe2\uff80\uff90related terms in both scientific and plain language, as well as indicators for seven SESs and 11 STs. Participants were asked to rate their agreement with the definitions and indicators on a seven\uffe2\uff80\uff90grade Likert scale. The level of agreement was calculated as the percentage of ratings above 4, the neutral position. The survey was available from June to September 2023 and was distributed by a snowball approach. More than 260 stakeholders assessed the survey; 70% of respondents were researchers, and 15% were practitioners. Mean agreement levels for the definitions and indicators were generally high, at 85% and 78% respectively. However, it was apparent that the lowest agreement was found for terms that are relatively new, such as Ecosystem Services and Bundle, or unfamiliar for certain subgroups, such as ecological terms for stakeholders working at the farm scale. Due to their distinct majority, the results of this study primarily reflect the opinions of scientists. Thus, broad conclusions can only be drawn by comparing scientists with non\uffe2\uff80\uff90scientists. In this regard, the agreement was surprisingly high across all types of questions. The combined outcomes indicate that there is still a need to facilitate communication between stakeholders and to improve knowledge distribution strategies. Nevertheless, this study can support and be used by future projects and programmes, especially regarding the harmonization of terminology and methods.</p", "keywords": ["Soilbased ecosystem services", "Soil policy stakeholders", "soil science terminology", "soil indicators", "610", "Sustainable soil management", "sustainable soil management", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "333", "12. Responsible consumption", "soil policy stakeholders", "Soil science terminology", "11. Sustainability", "Soil indicators", "Soil threats", "soil-based ecosystem services", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "2. Zero hunger", "EJP SOIL", "4. Education", "15. Life on land", "soil threats", "16. Peace & justice", "6. Clean water", "EJP SOIL", " soil indicators", " soil policy stakeholders", " soil science terminology", " soil threats", " soilbased ecosystem services", " sustainable soil management", "13. Climate action", "soil- based ecosystem services"]}, "links": [{"href": "https://iris.cnr.it/bitstream/20.500.14243/467822/1/European%20J%20Soil%20Science%20-%202024%20-%20Weninger%20-%20Do%20we%20speak%20one%20language%20on%20the%20way%20to%20sustainable%20soil%20management%20in%20Europe%20%20A.pdf"}, {"href": "https://doi.org/10.1111/ejss.13476"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/European%20Journal%20of%20Soil%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/ejss.13476", "name": "item", "description": "10.1111/ejss.13476", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/ejss.13476"}, {"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": "10.1111/ejss.13483", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:19:53Z", "type": "Journal Article", "created": "2024-04-25", "title": "Towards enhanced adoption of soil\u2010improving management practices in Europe", "description": "Abstract<p>Sustainable agricultural soil management practices are key to restore, maintain and improve soil health. The European Joint Programme for SOIL (EJP SOIL) has identified twelve main soil challenges in Europe. To assess the potential and eventually increase the adoption of soil\uffe2\uff80\uff90improving management practices, it is necessary to know (i) the current levels of adoption of the practices, (ii) socio\uffe2\uff80\uff90technical barriers influencing their adoption, and (iii) their bio\uffe2\uff80\uff90physical limits. This study compiled an inventory of soil\uffe2\uff80\uff90improving management practices relevant to European conditions, and used a survey among soil scientists to assess the levels of adoption of these practices in Europe. In total, 53 soil management practices were identified that address one or several of the soil challenges. The adoption of most practices was low or spatially heterogeneous across Europe, highlighting region\uffe2\uff80\uff90specific limitations to sustainable soil management. Qualitative interviews were conducted to explore the importance of socio\uffe2\uff80\uff90technical aspects of adoption. Using conservation agriculture as an example, factors that can hinder adoption included the availability of knowledge and adequate machinery, financial risks, and farming traditions. Through a modelling approach, 54% of arable land in Europe was found to be suitable for cover cropping, indicating that the adoption of soil management practices is frequently limited by climatic constraints. We propose a region\uffe2\uff80\uff90specific approach that recognizes the importance of identifying and overcoming socio\uffe2\uff80\uff90technical barriers, and by acknowledging bio\uffe2\uff80\uff90physical limits that may be expanded by innovation.</p", "keywords": ["Conservation agriculture", "Sustainable soil management", "sustainable soil management", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "Soil degradation", "630", "333", "12. Responsible consumption", "Soil challenges", "soil degradation", "Soil health", "11. Sustainability", "Life Science", "Soil threats", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "Soil restoration", "2. Zero hunger", "EJP SOIL", "soil health", "Cover crops", "15. Life on land", "soil threats", "soil challenges", "6. Clean water", "conservation agriculture", "13. Climate action", "soil restoration", "cover crops"]}, "links": [{"href": "https://doi.org/10.1111/ejss.13483"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/European%20Journal%20of%20Soil%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/ejss.13483", "name": "item", "description": "10.1111/ejss.13483", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/ejss.13483"}, {"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": "10.2139/ssrn.5039431", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:57Z", "type": "Report", "created": "2024-12-09", "title": "Soil Organic Carbon and Clay Prediction and Mapping Using EnMAP Data: A Sensor-and Domain-based Performance Comparison", "description": "Environmental Mapping and Analysis Program (EnMAP) hyperspectral sensor\u2019s data was employed for the prediction and mapping of SOC and clay in agricultural soils. Results were compared with those obtained from the Landsat 8-OLI (L08-OLI) multispectral and Sentinel-2 (S2) superspectral satellites data. The CASI/SASI (CS) airborne hyperspectral data was also used as the reference. Overall, EnMAP data showed enough promise, higher than satellite-based L08-OLI and S2 multispectral sensors, for prediction and mapping of SOC and clay in the agricultural topsoil.  The manuscript is about to be submitted after the final approval of all authors.", "keywords": ["spaceborne sensors", "EJP SOIL", "STEROPES", "modeling and prediction", "EnMAP", "soil parameters", "hyperspectral airborne", "bare soil selection"], "contacts": [{"organization": "Khosravi, Vahid, Gholizadeh, Asa, Saberioon, Mohammadmehdi, \u017d\u00ed\u017eala, Daniel, Chapman Agyeman, Prince, Kode\u0161ov\u00e1, Radka, Ju\u0159icov\u00e1, Anna, Klement, Ale\u0161, N\u011bme\u010dek, Karel, Dematt\u00ea, Jos\u00e9 Alexandre Melo, Bor\u016fvka, Lubo\u0161,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.2139/ssrn.5039431"}, {"rel": "self", "type": "application/geo+json", "title": "10.2139/ssrn.5039431", "name": "item", "description": "10.2139/ssrn.5039431", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2139/ssrn.5039431"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.2139/ssrn.5042274", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:57Z", "type": "Report", "created": "2024-12-09", "title": "Impact of Different Supervised Bare Soil Pixels Retrieval Approaches on Prediction of the Soil Organic Carbon", "description": "This study was to compare the performance of the index-based and unmixing-based classification approaches as well as their integration on discrimination of the bare soil pixels on Sentinel-2 (S2) and Landsat 8-OLI (L08-OLI) single-date scenes from dry and green vegetation within four local agricultural sites, in the Czech Republic. In conclusion, classification of soil cover using the integrated approach led to more accurate extraction of bare soil and higher performance SOC prediction models, on both types of satellite data. Considering all approaches, results obtained on S2 data were more accurate than those delivered on L08-OLI.\u00a0  The manuscript is about to be submitted after the final approval of all authors.", "keywords": ["Linear spectral unmixing", "EJP SOIL", "STEROPES", "Spectral indices", "Soil organic carbon", "Soil cover classification", "Airborne and satellite data"], "contacts": [{"organization": "Khosravi, Vahid, Gholizadeh, Asa, Castaldi, Fabio, Saberioon, Mohammadmehdi, Chapman Agyeman, Prince, \u017d\u00ed\u017eala, Daniel, Kode\u0161ov\u00e1, Radka, Bor\u016fvka, Lubo\u0161,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.2139/ssrn.5042274"}, {"rel": "self", "type": "application/geo+json", "title": "10.2139/ssrn.5042274", "name": "item", "description": "10.2139/ssrn.5042274", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2139/ssrn.5042274"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.3390/s24113556", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:22:45Z", "type": "Journal Article", "created": "2024-05-31", "title": "Prediction Accuracy of Soil Chemical Parameters by Field- and Laboratory-Obtained vis-NIR Spectra after External Parameter Orthogonalization", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>One challenge in predicting soil parameters using in situ visible and near infrared spectroscopy is the distortion of the spectra due to soil moisture. External parameter orthogonalization (EPO) is a mathematical method to remove unwanted variability from spectra. We created two different EPO correction matrices based on the difference between spectra collected in situ and, respectively, spectra collected from the same soil samples after drying and sieving and after drying, sieving and finely grinding. Spectra from 134 soil samples recorded with two different spectrometers were split into calibration and validation sets and the two EPO corrections were applied. Clay, organic carbon and total nitrogen content were predicted by partial least squares regression for uncorrected and EPO-corrected spectra using models based on the same type of spectra (\u201cwithin domain\u201d) as well as using laboratory-based models to predict in situ collected spectra (\u201ccross-domain\u201d). Our results show that the within-domain prediction of clay is improved with EPO corrections only for the research grade spectrometer, with no improvement for the other parameters. For the cross-domain predictions, there was a positive effect from both EPO corrections on all parameters. Overall, we also found that in situ collected spectra provided an equally successful prediction as laboratory-based spectra.</p></article>", "keywords": ["EJP Soil", "570", "ProbeField", "Medical Sciences", "Bioinformatics", "clay content", "in situ soil spectroscopy", "TP1-1185", "01 natural sciences", "630", "Article", "Biomedical Informatics", "PLSR", "Medical Specialties", "Medicine and Health Sciences", "Spectroscopy", "soil spectroscopy", "proximal sensing", "0105 earth and related environmental sciences", "spectrometers", "Chemical technology", "rdCV", "04 agricultural and veterinary sciences", "soil organic carbon", "total nitrogen", "Oncology", "0401 agriculture", " forestry", " and fisheries", "soil moisture", "EPO"]}, "links": [{"href": "https://doi.org/10.3390/s24113556"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sensors", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/s24113556", "name": "item", "description": "10.3390/s24113556", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/s24113556"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-05-31T00:00:00Z"}}, {"id": "10.5194/egusphere-egu23-4377", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:33Z", "type": "Report", "created": "2023-02-22", "title": "What is the place for soils in scenario-based ecosystem services approaches ? A systematic review", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Prospective studies and scenario-based approaches are pivotal to support land planning, agricultural and environmental management. The integration of soils within such approaches have recently developed significantly, alongside the increasing attention given to soil-related ecosystem services (ES). Such interest is explained by the urgent need to assess how soil ecosystem services and their related threats (ST) (e.g. soil erosion, soil biodiversity loss, soil contamination, soil sealing) may evolve in response to potential changes in climate, production systems or land management. This generally involves describing the dynamics of soil changes over time as a function of different driving forces (e.g., climate change, public policies), but also assessing variations in space considering soil characteristics.A group of researchers participating in the SERENA project of the EJP Soil program conducted a meta-analysis to study the methods used in existing prospective studies focusing on six soil ES (e.g. biomass production, habitat for biodiversity, hydrological control, environmental pollution control, greenhouse gas and climate regulation, pest and disease control) and ten ST (e.g. soil erosion, soil organic carbon loss, nutrient imbalance, soil acidification, soil contamination, waterlogging, soil compaction, soil sealing, salinization, loss of diversity). Approximately 150 scientific articles referenced in Scopus and the Web of Science were selected in order to analyze how soil properties are considered in scenario-based approaches for ES and ST mapping and assessment.The objective of this study is to show the results of this&amp;#160; review which involved multiple researchers at the European level in order to highlight how soils are accounted for in ES and ST assessment and mapping exercises through scenario-based approaches. More particularly, the aims of the review are to: i) understand what main drivers are used in scenarization approaches (e.g. land use changes, climate change) and how the scenarios are developed; ii) what are the main soil properties and the associated metrics used to assess and map soil ES and ST, and; iii) what methodological approaches are currently chosen to assess ES and ST changes across time and space.The outcomes of such an analysis would help highlighting the state of the art of soil ES and ST research at the European level and, therefore, establish milestones to guide future trajectories in the field.This might support and encourage the harmonization of practices at the European level in ES-related studies and in scenarization practices, in order to create operational and homogeneous tools and frameworks to support the development of pertinent strategies and land-planning policies, with a specific focus on agricultural lands.</p></article>", "keywords": ["[SDE] Environmental Sciences", "2. Zero hunger", "scenarization practices", "13. Climate action", "SERENA project", "11. Sustainability", "soil ES", "soil ST", "EJP Soil program", "15. Life on land", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "3. Good health", "12. Responsible consumption"]}, "links": [{"href": "https://doi.org/10.5194/egusphere-egu23-4377"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/egusphere-egu23-4377", "name": "item", "description": "10.5194/egusphere-egu23-4377", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/egusphere-egu23-4377"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-05-15T00:00:00Z"}}, {"id": "10.5281/zenodo.10417013", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:45Z", "type": "Report", "title": "Definition of scenarios on the bases of trends in relevant drivers - EJP Soil SERENA Deliverable 1.4", "description": "unspecifiedDisclaimer:The data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:  - It is the result of a modelling exercise and does not necessarily reflect reality.  - Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy and prior knowledge of the technical choices made.  - It is necessary to consider how the results have been obtained in order to decide on their relevance in relation to the intended purpose of reuse.  - These results are interesting from a scientific point of view, but their use for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data.  Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.", "keywords": ["EJP Soil", "Horizon 2020", "climate change", "land cover", "scenarios", "land management", "land use", "soil-based ecosystem services", "population trend", "soil threats", "SERENA"], "contacts": [{"organization": "Smiraglia, Daniela, Assennato, Francesca, Foldal, Cecilie, Asins-Velis, Sabina, Astover, Alar, Fioramonti, Veronica, Kukk, Liia, O'Sullivan, Lilian, Riitano, Nicola, Stefanova, Milena,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10417013"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10417013", "name": "item", "description": "10.5281/zenodo.10417013", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10417013"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-12-21T00:00:00Z"}}, {"id": "10.5281/zenodo.10417014", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:45Z", "type": "Report", "title": "Definition of scenarios on the bases of trends in relevant drivers - EJP Soil SERENA Deliverable 1.4", "description": "Open AccessDisclaimer:The data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:  - It is the result of a modelling exercise and does not necessarily reflect reality.  - Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy and prior knowledge of the technical choices made.  - It is necessary to consider how the results have been obtained in order to decide on their relevance in relation to the intended purpose of reuse.  - These results are interesting from a scientific point of view, but their use for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data.  Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.", "keywords": ["EJP Soil", "Horizon 2020", "climate change", "land cover", "scenarios", "land management", "land use", "Soil Science", "soil-based ecosystem services", "population trend", "soil threats", "SERENA"], "contacts": [{"organization": "Smiraglia, Daniela, Assennato, Francesca, Foldal, Cecilie, Asins-Velis, Sabina, Astover, Alar, Fioramonti, Veronica, Kukk, Liia, O'Sullivan, Lilian, Riitano, Nicola, Stefanova, Milena,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10417014"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10417014", "name": "item", "description": "10.5281/zenodo.10417014", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10417014"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-12-21T00:00:00Z"}}, {"id": "10.5281/zenodo.10959076", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:58Z", "type": "Dataset", "created": "2023-10-30", "title": "Knowledge gaps on trade-offs of soil carbon sequestration related to soil management strategies", "description": "The database contains 87 unique literature items (29 reviews, 42 meta-analyses, 16 original papers) describing the effect of a soil management strategy (tillage management, cropping systems, water management, cover crops, crop residues, livestock manure, slurry, compost, biochar, liming) on the trade-offs between soil carbon sequestration or SOC change and N2O emission, CH4 emission and nitrogen leaching. Since some literature items describe effects of several SMS categories, the database_summary tab comprises a total of 112 unique inputs. For each input it is indicated in the Database_summary tab if it was used as input for the 'Soil management effect assessment' in Maenhout et al. (2024) [Maenhout, P., Di Bene, C., Cayuela, M. L., Diaz-Pines, E., Govednik, A., Keuper, F., Mavsar, S., Mihelic, R., O'Toole, A., Schwarzmann, A., Suhadolc, M., Syp, A., & Valkama, E. (2024). Trade-offs and synergies of soil carbon sequestration: Addressing knowledge gaps related to soil management strategies. European Journal of Soil Science, 75(3), e13515. https://doi.org/10.1111/ejss.13515] and/or to define knowledge gaps ('Knowledge gap in tab'-column). Knowledge gaps and research recommendations are gouped per soil management strategy in different tabs in this database. Per soil management strategy, knowledge gaps are clustered per theme in groups. These themes include: the specific soil management strategy, pedoclimatic conditions, establishment of experiments, other soil management strategies, meta-analysis, modelling and other", "keywords": ["Water management", "EJP SOIL", "Climate change mitigation", "Nitrogen leaching", "CH4", "Conservation agriculture", "Cropping systems", "SOMMIT", "N2O", "Organic matter inputs", "Tillage"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10959076"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10959076", "name": "item", "description": "10.5281/zenodo.10959076", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10959076"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-05-13T00:00:00Z"}}, {"id": "10.5281/zenodo.13757029", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:10Z", "type": "Dataset", "title": "D3.3_20230919_ProbeField_Aligned_Spectra_V1", "description": "Open AccessThe reference data (SOC) of the Swedish soil samples are part of the Swedish national soil monitoring programme for agricultural soils, Soil and crop inventory and are owned by The Swedish Environmental Protection Agency. Spectra were collected within the EJP SOIL project", "keywords": ["Soil sciences", "Soil", "ProbeField", "EJP SOIL", "Field spectroscopy", "Soil spectroscopy", "EJPSOIL", "data harmonization", "Internal soil standard", "Spectral alignment"], "contacts": [{"organization": "Castaldi, Fabio", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13757029"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13757029", "name": "item", "description": "10.5281/zenodo.13757029", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13757029"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-09-13T00:00:00Z"}}, {"id": "10.5281/zenodo.13271731", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:08Z", "type": "Dataset", "title": "The effect of crop diversification and season on microbial carbon use efficiency across a European pedoclimatic gradient", "description": "This repository contains all necessary raw data as well as the R code used to conduct statistical analysis and create figures of the publication\u00a0The effect of crop diversification and season on microbial carbon use efficiency across a European pedoclimatic gradient  Julia Schroeder1*, Alexander K\u00f6nig2, Christopher Poeplau1, Tobias B\u00f6lscher3, Katharina H.E. Meurer4, Monika Toleikien\u01175, Marjoleine Hanegraaf6, Annelein Meisner6, Josef Hakl7, Katharina M. Keiblinger 2, Abad Chabbi8, Marjetka Suhadolc9, Anton Govednik9, Erich Inselsbacher2, Heike Knicker10, Laura Gismero Rodr\u00edguez10, and Anke M. Herrmann4  1 Th\u00fcnen Institute of Climate-Smart Agriculture, Braunschweig, Germany2 University of Natural Resources and Applied Life Sciences Vienna, Department of Forest and Soil Sciences, Institute of Soil Research, Vienna, Austria3 Universit\u00e9 Paris-Saclay, INRAE, AgroParisTech, UMR EcoSys, Palaiseau, France4 Department of Soil & Environment, Swedish University of Agricultural Sciences - SLU, Uppsala, Sweden5 Lithuanian Research Centre for Agriculture and Forestry, Akademija, Lithuania6 Wageningen University & Research, Wageningen Plant Research, Wageningen, Netherlands7 Czech University of Life Sciences Prague, Czech Republic8 INRAE Centre de Recherche Nouvelle-Aquitaine-Poitiers, Unit\u00e9 de Recherche Pluridisciplinaire Prairies & Plantes Fourrag\u00e8res, Lusignan, France9 University of Ljubljana, Biotechnical Faculty, Ljubljana, Slovenia10 Instituto de la Grasa (IG-CSIC), Sevilla, Spain* Corresponding author: julia.schroeder@thuenen.de  DOI:\u00a0  The study aimed to investigate the effect of crop diversification measures (cover crops, ley farming, vegetation stripes) on microbial carbon use efficiency (CUE) and its potential link to SOC accrual in agricultural soils across Europe. The central hypothesis was that the crop diversification treatment results in more efficient microbial use of C, thus enhancing the potential of soils to store C. The effect of treatment was expected to vary between seasons.Topsoil was sampled from eight experimental crop diversification sites across a pan-European pedoclimatic gradient (Sweden, Netherlands, Lithuania, Czech Republic, Austria, France, Slovenia, and Spain). At five sites, a second sampling was conducted to test the effect of season on CUE (Sweden, Netherlands, France, Slovenia, and Spain). CUE was assessed by the 18O-labelling method. To account for the different experimental layout between sites, a meta-analysis approach was used for statistical analysis. To test for a general pattern of the seasonal variation in CUE across the pedoclimatic gradient, weather data (representing 3-months weather prior sampling) was used to extract seasonal predictors.\u00a0For further details, please see the peer-reviewed publication.\u00a0  The R code was developed under R v4.4.0.  \u00a0  The repository includes the following files:  data:    EJP-EL_COORD_sites.csv - Provides coordinates, reference system, land use, diversification treatment and year of establishment for the experimental sites (n=8).\u00a0  EJP-EL_DATA_sites.csv - Provides texture, TOC and N content, and bulk density data for the experimental sites as provided by site managers (if applicable on plot basis)(n=106).  EJP-EL_CUE_for_R.csv - Provides assessed per sample observations (n=220)WHC: water holding capacity, pH: soil pH measured in 1:5 w/w soil-water solution, TC_perc: total C (%), TIC_perc: total inorganic C (%), TOC_perc: total organic C (%), TN_perc: total N (%), total_DNA_gsoil: total amount of DNA extracted (ug DNA g-1 soil), Cmic_ugC_gsoil: microbial biomass C by CFE-method (ug microbial biomass C g-1 soil), fDNA: unitless conversion factor, Cgrowth_ngC_g_h: microbial growth rate (ng C g-1 soil h-1), \u00a0Crespiration_ngC_g_h: microbial respiration rate (ng C g-1 soil h-1), CUE: unitless carbon use efficiency, mass_specific_growth_1_perd: mass specific growth rate (1 d-1), turnover_time_d: turnover rate (d), DW/WW_during_incub: ratio of dry weight to wet weight (indicator of water content) during the time of incubation (g g-1); WC_perc_related_to_DW_at_sampling: water content during the time of soil sampling expressed as percentage water refered to dry weight of soil (%)  weather_data_b4_sampling_FS_nasa_power_mod_incl_radiation.csv - Extracted daily weather data for the respective site coordinates from the National Aeronautics and Space Administration (NASA) Langley Research Center (LaRC) Prediction of Worldwide Energy Resource (POWER) Project funded through the NASA Earth Science/Applied Science Program, i.e. NASA POWER project, for a 3-months period prior to each sampling event: mean daily air temperature at 2 m (T2M), the bias corrected average of total precipitation at the Earth\u2019s surface (PRECTOTCORR), and the total photosynthetically active radiation incident at the Earth\u2019s surface (ALLSKY_SFC_PAR_TOT).\u00a0  Table_S1.xlsx - Provides meta-data of sites including sampling (treatments, depth, number of samples, time), water content at sampling, management (last main crop, cover at sampling, phenological state at sampling, fertilisation dates, type of fertiliser, fertilisation rate, ploughing date, ploughing depth).   Rproj:    R_project_Schroeder_crop_div_and_season.Rproj - Rproject (load project to work on provided scripts and data)   R scripts:    01_EJP-EL_CUE_load_data.R - Loads data from different provided csv and merges them into one data.frame, specifying assignment of categories (e.g. control vs one diversified treatment) and selections for individual analyses (e.g. seasonality (all treatments, 5 sites), EU.gradient (control vs. one diversified treatment, 8 sites)).  02_extract_climate_data_sites.R - Extracts climate data from BIOCLIM database (MAT, MAP, Growing season lenght, K\u00f6ppen Geiger) for site coordinates.  03_meta-analysis_crop_diversification_EU_gradient.R - Conducts meta-analysis on EU.gradient selection (control vs diversified treatment, 8 sites) with crop diversification measures as subgroups. Plots results of the meta-analysis. Exports overall test statistics.  04_ANOVA_seasonality_effect.R - Plots CUE per site and sampling on seasonality selection. Conducts site-wise ANOVA to test for effects of sampling and treatment on CUE, and whether the effect of treatment varies with sampling (i.e. interaction).\u00a0  05_define_season_by_weather_data_before_sampling.R - Extracts weather data from indicated NASA database for the 3-months period prior to sampling. Calculates seasonality predictors (see M&M of publication to this study for detailed background). Creates table with calculated predictors.  06_Driver_Analysis_seasonality.R - Checks for autocorrelation of seasonal predictors. Conducts linear mixed-effects model for driver analysis. Creates figure presenting results of the driver analysis.  07_PCA_pedo-climatic_gradient_EU.R - Conducts and plots a principal component analysis to visualise the spread of pedo-climatic properties across sites.  08_LMEM_France.R - Conducts a separate linear mixed-effects model statistics to test wehther ley farming is more similar to cropland or grassland (microbial CUE, Cmic, Cgrowth and SOC) at the Lusignan (France) site.", "keywords": ["microbial carbon use efficiency", "soil organic carbon", "EJP SOIL", "crop diversificiation", "EnergyLink", "SOC", "CUE", "soil", "agriculture"], "contacts": [{"organization": "Schroeder, Julia", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13271731"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13271731", "name": "item", "description": "10.5281/zenodo.13271731", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13271731"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-02-04T00:00:00Z"}}, {"id": "10.5281/zenodo.13744546", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:10Z", "type": "Dataset", "title": "CSIC-ProbeField SpectralDatasetMetadata-D4.2", "description": "The dataset comprises the information of the sampleset CSIC built in ProbeField-EJP Soil project on sampling date, site, crop, previous crop, depth (cm), latitude and longitude cooordinates, soil moisture (% dw), bulk density (g/cm3), labnumber, label, texture (%): coarse sand, fine sand, silt, clay, texture class. pH (Ext 1:2.5), EC (Ext 1:5) (mS/cm), carbonate (% CaCO3), org\u00e1nic-C\u00a0 (%), organic matter (%), total-N (%), avail-P (mg/kg), avail-K (mg/kg), elemental analysis (pXRF) and VisNIR spectra (350-2500 nm). As well as concerning the analytical methods.", "keywords": ["Compositional; CoDa; EJP Soil; NIRS; ProbeField; SOC; soil organic carbon"], "contacts": [{"organization": "L\u00f3pez-N\u00fa\u00f1ez, Rafael, Cayuela-S\u00e1nchez, Jose Antonio,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13744546"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13744546", "name": "item", "description": "10.5281/zenodo.13744546", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13744546"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-09-11T00:00:00Z"}}, {"id": "10.5281/zenodo.13753159", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:10Z", "type": "Dataset", "title": "D3.2_20240117_ProbeField_Preprosessed_Spectra_V1", "description": "Open AccessDeliverable 3.2 consists of a dataset of pre-processed field spectra. The dataset includes 583 spectra collected by nine EJP Soil Probefield\u2019s partners in eight countries in 214 sampling points. Nine different VNIR spectroradiometers equipped with contact probes were used to collect the spectra (350 \u2013 2500 nm). Each spectrum corresponds to the average reflectance of five repetitions .  Soil samples were collected from each sampling point and brought to the laboratory for determining the organic content (TOC). The raw spectra were reduced in the range between 400 and 2450 to remove the spectrum tails usually containing noisy signal and the following spectral pre-treatments and transformation were applied:    1.\u00a0\u00a0\u00a0\u00a0\u00a0 Spline interpolation of the values of the edges of the middle sensor to correct steps  2.\u00a0\u00a0\u00a0\u00a0\u00a0 Savitzky-Golay smoothing filter using a second polynomial order and a window of 11 nm  3.\u00a0\u00a0\u00a0\u00a0\u00a0 Detrending spectral data by applying a SNV transformation  4.\u00a0\u00a0\u00a0\u00a0\u00a0 Spectral alignment applying a different correction factor for each spectroradiometer using the Lucky Bay sands as internal soil standard  5.\u00a0 \u00a0The spectra were further transformed using the External Parameter Orthogonalization (EPO) matrix obtained from\u00a0DT_EPO.csv to\u00a0remove the effects of soil moisture   Therefore, three different datasets were extracted:    a \u00a0 \u00a0 \u00a0D3.2_20240117_ProbeField_Preprosessed_Spectra_DT_raw.csv: data extracted at the end of point 3  b\u00a0 \u00a0 \u00a0D3.2_20240117_ProbeField_Preprosessed_Spectra_DT_ISS.csv: data extracted at the end of point 4  c\u00a0 \u00a0 \u00a0 D3.2_20240117_ProbeField_Preprosessed_Spectra_DT_EPO.csv: data extracted at the end of point 5", "keywords": ["Soil sciences", "Soil", "ProbeField", "EJP SOIL", "Soil Organic Carbon", "Soil spectroscopy", "EJPSOIL", "SOC", "Proximal sensing", "soil spectral library", "Field Spectroscopy"], "contacts": [{"organization": "Castaldi, Fabio", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13753159"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13753159", "name": "item", "description": "10.5281/zenodo.13753159", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13753159"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-09-12T00:00:00Z"}}, {"id": "10.5281/zenodo.13757028", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:10Z", "type": "Dataset", "title": "D3.3_20230919_ProbeField_Aligned_Spectra_V1", "description": "Open AccessThe reference data (SOC) of the Swedish soil samples are part of the Swedish national soil monitoring programme for agricultural soils, Soil and crop inventory and are owned by The Swedish Environmental Protection Agency. Spectra were collected within the EJP SOIL project", "keywords": ["EJP SOIL", "ProbeField", "Soil sciences", "Soil", "Field spectroscopy", "Soil spectroscopy", "EJPSOIL", "data harmonization", "Internal soil standard", "Spectral alignment"], "contacts": [{"organization": "Castaldi, Fabio", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13757028"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13757028", "name": "item", "description": "10.5281/zenodo.13757028", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13757028"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-09-13T00:00:00Z"}}, {"id": "10.5281/zenodo.13951111", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:14Z", "type": "Dataset", "title": "D2.2 ProbeField datasets metadata", "description": "Deliverable 2.2 (ProbeField SSL Metadata) consists of several sampling campaigns conducted by institutes in ten European countries including Austria, Czech Republic, Denmark, France, Italy, Netherlands, Poland, Spain, Sweden, and Switzerland. The columns add information about the sampling scale, extent of the area, climate, soil class, parent rock, land use, management, number of samples, sampling date, vegetation type, SOC analysis method, SOC range, texture analysis method and spectral measurement specifications.", "keywords": ["EJP SOIL", "ProbeField", "Soil organic carbon", "EJPSOIL", "Soil sampling", "SOC", "Proximal sensing"], "contacts": [{"organization": "Czech University of Life Sciences Prague, Agricultural Research Council, Austrian Agency for Health and Food Safety, Spanish National Research Council, Wageningen University & Research, Aarhus University, Swedish University of Agricultural Sciences, National Research Institute for Agriculture, Food and Environment, Institute of Soil Science and Plant Cultivation, Agroscope, National Research Council,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13951111"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13951111", "name": "item", "description": "10.5281/zenodo.13951111", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13951111"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-18T00:00:00Z"}}, {"id": "10.5281/zenodo.13834642", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:12Z", "type": "Report", "title": "Definition of scenarios on the basis of trends in relevant drivers- EJP Soil SERENA Deliverable 1.4 version 2.0", "description": "The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.", "keywords": ["EJP Soil", "climate change", "land cover", "scenarios", "H2020", "land management", "land use", "soil-based ecosystem services", "population trend", "soil threats", "SERENA", "stakeholders"], "contacts": [{"organization": "Smiraglia, Daniela, Assennato, Francesca, Foldal, Cecilie, Asins-Velis, Sabina, Astover, Alar, Fioramonti, Veronica, Kukk, Liia, Mernagh, Orlaith, O'Sullivan, Lilian, Riitano, Nicola, Stefanova, Milena,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13834642"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13834642", "name": "item", "description": "10.5281/zenodo.13834642", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13834642"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-31T00:00:00Z"}}, {"id": "10.5281/zenodo.13844801", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:12Z", "type": "Journal Article", "created": "2023-08-11", "title": "Exploitation of the SoilPRO\u00ae (SP) apparatus to measure soil surface reflectance in the field: Five case studies", "description": "The SoilPRO\u00ae (SP) is an assembly designed to acquire soil reflectance information in the field without disturbing the soil surface, and regardless of atmospheric and solar radiation conditions. This paper summarizes five case studies in which the SP assembly was used for different applications. The case studies consisted of: (1) generating surface spectral measurements under any atmospheric condition; (2) comparing the performance of the SP to the traditional bare fiber method for vicarious calibration of hyperspectral satellite sensors; (3) assessing water repellency of a soil surface governed by organic matter hydrophobicity; (4) spatial prediction of the rate of water infiltration into the soil profile as governed by the soil surface seal; and (5) using the SP apparatus to measure soil surface reflectance in South Shetland Island, Antartica under severe weather conditions. The case studies included calculation of spectral quality, prediction accuracy and measurement stability. The paper discusses each of the cases in detail and concludes that the SP (or similar assembly) is the best way to measure the reflectance of the original soil surface in the field. In the first case study, the spectrum collected by the SP under daily changing illumination was shown to be stable relative to the traditional measurement methods of contact probe or bare fiber. The second case study indicated that use of the SP for vicarious calibration is much more efficient (in terms of time and stability) than ground-truth practice over a large area, and in the third case study, the SP was able to assess a soil surface property governed by organic matter hydrophobicity better than the contact probe, which destroys the soil surface organic seal. A similar achievement was gained in the fourth case study, providing a better assessment of the water-infiltration rate into the soil. In the fifth case study, the SP demonstrated impressive high-quality acquisition of soil surface reflectance with a very low sun angle over the South Pole. Based on these case studies and the high quality of the data generated by the SP in the field, we suggest building, in parallel to the classical soil spectral libraries generated in the laboratory, field soil spectral libraries that will preserve the soil surface properties scanned in the field. We anticipate the development of more applications for the SP assembly based on the capabilities shown in this paper.", "keywords": ["EJP SOIL", "ProbeField", "Field measurements", "Science", "Soil reflectance", "EJPSOIL", "Q", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "01 natural sciences", "SoilPRO", "Soil surface properties", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13844801"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13844801", "name": "item", "description": "10.5281/zenodo.13844801", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13844801"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-10-01T00:00:00Z"}}, {"id": "10.5281/zenodo.13912844", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:13Z", "type": "Report", "title": "D3.4_Map of Scenarios of Soil Threats and Soil Ecosystem Services in AT_zip", "description": "The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales. \u00a0  This dataset is part of the Project deliverable 3.4 of SERENA (https://ejpsoil.eu/soil-research/serena) and contains Austrian regional maps of results from the simulation of grassland management by the process-based LandscapeDNDC model. The maps present mean annual N2O emissions, soil carbon stocks, NO3- leaching and yield production of representative grassland soils in the regions. We used the Austrian digital soil map (https://bodenkarte.at/#/center/13.3458,47.7132) and LandscapeDNDC (https://ldndc.imk-ifu.kit.edu/)", "keywords": ["EJP Soil", "Austria", "Deliverable 3.4", "SERENA", "Grassland", "Regional", "Horizon 2020 Grant Number 862695"], "contacts": [{"organization": "Foldal, Cecilie Birgitte, Kitzler, Barbara,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13912844"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13912844", "name": "item", "description": "10.5281/zenodo.13912844", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13912844"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-10T00:00:00Z"}}, {"id": "10.5281/zenodo.13951110", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:14Z", "type": "Dataset", "title": "D2.2 ProbeField datasets metadata", "description": "Deliverable 2.2 (ProbeField SSL Metadata) consists of several sampling campaigns conducted by institutes in ten European countries including Austria, Czech Republic, Denmark, France, Italy, Netherlands, Poland, Spain, Sweden, and Switzerland. The columns add information about the sampling scale, extent of the area, climate, soil class, parent rock, land use, management, number of samples, sampling date, vegetation type, SOC analysis method, SOC range, texture analysis method and spectral measurement specifications.", "keywords": ["EJP SOIL", "ProbeField", "Soil organic carbon", "EJPSOIL", "Soil sampling", "SOC", "Proximal sensing"], "contacts": [{"organization": "Czech University of Life Sciences Prague, Agricultural Research Council, Austrian Agency for Health and Food Safety, Spanish National Research Council, Wageningen University & Research, Aarhus University, Swedish University of Agricultural Sciences, National Research Institute for Agriculture, Food and Environment, Institute of Soil Science and Plant Cultivation, Agroscope, National Research Council,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13951110"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13951110", "name": "item", "description": "10.5281/zenodo.13951110", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13951110"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-18T00:00:00Z"}}, {"id": "10.5281/zenodo.13951151", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:14Z", "type": "Dataset", "created": "2024-01-01", "title": "SERENA EJPSoil Soil loss by water erosion of Tuscany (Italy)", "description": "Open AccessThe data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:       It is the result of a modelling exercise and does not necessarily reflect reality.     Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy of the techniques chosen and their prior knowledge .      It is necessary to consider how the results have been obtained in order to decide on their relevance\u00a0in relation to the intended\u00a0purpose\u00a0of reuse.     These results are interesting from a scientific point of view, but their use\u00a0for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data.       Finally, it is the responsibility of the users of this information to decide whether it is\u00a0appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the\u00a0results obtained from the use of this data.", "keywords": ["Soil Threat", "Italy", "Grant  n. 862695", "Tuscany", "EJP soil", "RUSLE", "Grant n. 862695", "SERENA Project", "Soil Erosion"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13951151"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13951151", "name": "item", "description": "10.5281/zenodo.13951151", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13951151"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-18T00:00:00Z"}}, {"id": "10.5281/zenodo.13969874", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:15Z", "type": "Dataset", "created": "2024-10-20", "title": "SERENA_EJPSOIL_AT_SOILSEALING_SEALINGDEGREE", "description": "The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales. \u00a0  This data was prepared according to the methodology of SERENA Soil Sealing cookbook. For Austria, the application was carried out at regional scale. The map of soil sealing (soil threat) was based on classification of multitemporal satellite images and photointerpretation. The methodology uses vegetation and backscatter indices calculated over time series of images, and decision rules. The semi-automatic classification supports the subsequent photointerpretation phase based on national orthophotos and other free VHR satellite images.", "keywords": ["EJP SOIL", "soil threat", "soil sealing", "remote sensing", "Austria", "2018", "D3.3", "SERENA"], "contacts": [{"organization": "Foldal, Cecilie", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13969874"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13969874", "name": "item", "description": "10.5281/zenodo.13969874", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13969874"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-22T00:00:00Z"}}, {"id": "10.5281/zenodo.13951152", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:14Z", "type": "Dataset", "created": "2024-01-01", "title": "SERENA EJPSoil Soil loss by water erosion of Tuscany (Italy)", "description": "Open AccessThe data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:       It is the result of a modelling exercise and does not necessarily reflect reality.     Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy of the techniques chosen and their prior knowledge .      It is necessary to consider how the results have been obtained in order to decide on their relevance\u00a0in relation to the intended\u00a0purpose\u00a0of reuse.     These results are interesting from a scientific point of view, but their use\u00a0for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data.       Finally, it is the responsibility of the users of this information to decide whether it is\u00a0appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the\u00a0results obtained from the use of this data.", "keywords": ["Soil Threat", "Italy", "Tuscany", "EJP soil", "RUSLE", "Grant n. 862695", "SERENA Project", "Soil Erosion"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13951152"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13951152", "name": "item", "description": "10.5281/zenodo.13951152", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13951152"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-18T00:00:00Z"}}, {"id": "10.5281/zenodo.13959777", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:14Z", "type": "Dataset", "title": "EJPSOIL_SERENA: Net Ecosystem Productivity of Peipsi\u00e4\u00e4re municipality, Estonia", "description": "Open AccessThe data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:It is the result of a modelling exercise and does not necessarily reflect reality.Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy of the techniques chosen and their prior knowledge. It is necessary to consider how the results have been obtained in order to decide on their relevance in relation to the intended purpose of reuse.These results are interesting from a scientific point of view, but their use for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data. Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.", "keywords": ["Estonia", "SERENA EJP SOIL", "NEP", "WP3", "Task 3.2", "Cookbook", "Net Ecosystem Productivity", "GHG", "Green House Gaz", "D3.3"], "contacts": [{"organization": "Astover, Alar, Kukk, Liia,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13959777"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13959777", "name": "item", "description": "10.5281/zenodo.13959777", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13959777"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-21T00:00:00Z"}}, {"id": "10.5281/zenodo.13959778", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:14Z", "type": "Dataset", "title": "EJPSOIL_SERENA: Net Ecosystem Productivity of Peipsi\u00e4\u00e4re municipality, Estonia", "description": "Open AccessThe data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:It is the result of a modelling exercise and does not necessarily reflect reality.Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy of the techniques chosen and their prior knowledge. It is necessary to consider how the results have been obtained in order to decide on their relevance in relation to the intended purpose of reuse.These results are interesting from a scientific point of view, but their use for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data. Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.", "keywords": ["Estonia", "SERENA EJP SOIL", "NEP", "WP3", "Task 3.2", "Cookbook", "Net Ecosystem Productivity", "GHG", "Green House Gaz", "D3.3"], "contacts": [{"organization": "Astover, Alar, Kukk, Liia,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13959778"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13959778", "name": "item", "description": "10.5281/zenodo.13959778", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13959778"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-21T00:00:00Z"}}, {"id": "10.5281/zenodo.13969798", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:15Z", "type": "Dataset", "title": "SERENA EJPSOIL IT SOC Loss SOC", "description": "Open AccessThe data are derived from the calculation of indicators based on a standard methodology established as\u00a0part of the EJP Soil SERENA\u00a0programme. Please keep in mind that:       It is the result of a modelling exercise and does not necessarily reflect reality.     Despite the efforts made to provide reliable data, the results\u00a0may contain inconsistencies,\u00a0depending\u00a0in particular on\u00a0the raw data\u00a0available\u00a0and level of accuracy of the techniques chosen\u00a0and\u00a0their prior knowledge\u00a0.     It is necessary to consider how the results have been obtained\u00a0in order to\u00a0decide on their\u00a0relevance\u00a0in relation to the intended\u00a0purpose\u00a0of reuse.     These results are interesting from a scientific point of view, but their use\u00a0for environmental\u00a0management and policy issues should be done keeping the previous aspects in mind and\u00a0complementing when\u00a0necessary\u00a0the provided results with the best available data.      ==> Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.", "keywords": ["Italy", "Tuscany", "EJP soil", "SOC", "grant n. 862695", "Serena project"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13969798"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13969798", "name": "item", "description": "10.5281/zenodo.13969798", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13969798"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-22T00:00:00Z"}}, {"id": "10.5281/zenodo.13969875", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:15Z", "type": "Dataset", "created": "2024-10-20", "title": "SERENA_EJPSOIL_AT_SOILSEALING_SEALINGDEGREE", "description": "The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales. \u00a0  This data was prepared according to the methodology of SERENA Soil Sealing cookbook. For Austria, the application was carried out at regional scale. The map of soil sealing (soil threat) was based on classification of multitemporal satellite images and photointerpretation. The methodology uses vegetation and backscatter indices calculated over time series of images, and decision rules. The semi-automatic classification supports the subsequent photointerpretation phase based on national orthophotos and other free VHR satellite images.", "keywords": ["EJP SOIL", "soil threat", "soil sealing", "remote sensing", "Austria", "2018", "D3.3", "SERENA"], "contacts": [{"organization": "Foldal, Cecilie", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13969875"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13969875", "name": "item", "description": "10.5281/zenodo.13969875", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13969875"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-22T00:00:00Z"}}, {"id": "10.5281/zenodo.13970638", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:15Z", "type": "Dataset", "title": "SERENA EJPSOIL IE SOC Loss SOC", "description": "Open AccessDisclaimer:  The data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:  - It is the result of a modelling exercise and does not necessarily reflect reality.  - Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy of the techniques chosen and their prior knowledge.  - It is necessary to consider how the results have been obtained in order to decide on their relevance in relation to the intended purpose of reuse.  - These results are interesting from a scientific point of view, but their use for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data.  ==> Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.", "keywords": ["EJP Soil", "Soil organic carbon", "Soil based ecosystem service", "SERENA", "Ireland"], "contacts": [{"organization": "Fahy, Alan, Shahrokh, Vajihe, Buttafuoco, Gabriele, Bondi, Giulia, O'Sullivan, Lilian,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13970638"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13970638", "name": "item", "description": "10.5281/zenodo.13970638", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13970638"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-22T00:00:00Z"}}, {"id": "10.5281/zenodo.13972269", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:15Z", "type": "Report", "created": "2024-10-22", "title": "Soil Data Assimilation Guidance", "description": "The Soil Data Assimiliation Guidance wiki is a collaborative effort to collect and describe hands-on good practices on data assimilation in the soil domain, with a focus on Europe. The term Soil data assimilation\u00a0has been chosen by the autors as an alternative to the terms harmonisation and standardisation, which already have a specific meaning in the soil domain:    standardisation; aligning soil data to a common model, using common codelists.  harmonisation; transforming results from observations and measurements to values as if all results for a property are measured using the same procedure, by applying so called Pedotransfer Functions (PTF).   The process of assimilation also aims to capture additional aspects, such as finding, downloading and using the data. Most of these aspects are also well described as part of the\u00a0FAIR principles.  The \u201cInfrastructure for Spatial Information in the European Community\u201d (INSPIRE) directive has been and is an important effort for standardisation in the environmental data domain, therefore this wiki has many links to INSPIRE sources. Because INSPIRE adopts industry standards, this wiki does reference common standards from ISO (International Organization for Standardization), Open Geospatial Consortium, Global Soils Partnership, IANA (Internet Assigned Numbers Authority) and W3C (World Wide Web Consortium), giving it a global relevance.  This guide was initiatied by ISRIC - World Soil Information and Wageningen Environmental Research as part of the European Joint Program on Soil (EJP Soil) with funding from the European Union\u2019s horizon 2020 research and innovation programme under grant agreement No. 862695.", "keywords": ["EJP Soil", "Data processing", "Soil sciences", "OGC", "INSPIRE", "FAIR", "Data science"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13972269"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13972269", "name": "item", "description": "10.5281/zenodo.13972269", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13972269"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-04-22T00:00:00Z"}}, {"id": "10.5281/zenodo.13972270", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:15Z", "type": "Report", "created": "2024-10-22", "title": "Soil Data Assimilation Guidance", "description": "The Soil Data Assimiliation Guidance wiki is a collaborative effort to collect and describe hands-on good practices on data assimilation in the soil domain, with a focus on Europe. The term Soil data assimilation\u00a0has been chosen by the autors as an alternative to the terms harmonisation and standardisation, which already have a specific meaning in the soil domain:    standardisation; aligning soil data to a common model, using common codelists.  harmonisation; transforming results from observations and measurements to values as if all results for a property are measured using the same procedure, by applying so called Pedotransfer Functions (PTF).   The process of assimilation also aims to capture additional aspects, such as finding, downloading and using the data. Most of these aspects are also well described as part of the\u00a0FAIR principles.  The \u201cInfrastructure for Spatial Information in the European Community\u201d (INSPIRE) directive has been and is an important effort for standardisation in the environmental data domain, therefore this wiki has many links to INSPIRE sources. Because INSPIRE adopts industry standards, this wiki does reference common standards from ISO (International Organization for Standardization), Open Geospatial Consortium, Global Soils Partnership, IANA (Internet Assigned Numbers Authority) and W3C (World Wide Web Consortium), giving it a global relevance.  This guide was initiatied by ISRIC - World Soil Information and Wageningen Environmental Research as part of the European Joint Program on Soil (EJP Soil) with funding from the European Union\u2019s horizon 2020 research and innovation programme under grant agreement No. 862695.", "keywords": ["EJP Soil", "Data processing", "Soil sciences", "OGC", "INSPIRE", "FAIR", "Data science"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13972270"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13972270", "name": "item", "description": "10.5281/zenodo.13972270", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13972270"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-04-22T00:00:00Z"}}, {"id": "10.5281/zenodo.13983195", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:16Z", "type": "Dataset", "title": "SERENA Task 1.4 \u2013 Definition of scenarios - Survey results", "description": "Open AccessDisclaimer:The data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:  - It is the result of a modelling exercise and does not necessarily reflect reality.  - Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy and prior knowledge of the technical choices made.  - It is necessary to consider how the results have been obtained in order to decide on their relevance in relation to the intended purpose of reuse.  - These results are interesting from a scientific point of view, but their use for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data.  Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.", "keywords": ["EJP Soil", "Task1.4", "scenarios", "H2020", "land management", "land use", "WP1", "soil threats", "Grant n. 862695", "SERENA", "stakeholders", "climate change", "land cover", "soil-based ecosystem services", "population trend"], "contacts": [{"organization": "Smiraglia, Daniela, Assennato, Francesca, Foldal, Cecilie, Asins-Velis, Sabina, Astover, Alar, Fioramonti, Veronica, Kukk, Liia, Mernagh, Orlaith, O'Sullivan, Lilian, Riitano, Nicola, Stefanova, Milena,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13983195"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13983195", "name": "item", "description": "10.5281/zenodo.13983195", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13983195"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-23T00:00:00Z"}}, {"id": "10.5281/zenodo.13982875", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:16Z", "type": "Dataset", "title": "SERENA Task 1.4 \u2013 Definition of scenarios - Survey results", "description": "Open AccessDisclaimer:The data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:  - It is the result of a modelling exercise and does not necessarily reflect reality.  - Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy and prior knowledge of the technical choices made.  - It is necessary to consider how the results have been obtained in order to decide on their relevance in relation to the intended purpose of reuse.  - These results are interesting from a scientific point of view, but their use for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data.  Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.", "keywords": ["EJP Soil", "Task1.4", "scenarios", "H2020", "land management", "land use", "WP1", "soil threats", "Grant n. 862695", "SERENA", "stakeholders", "climate change", "land cover", "soil-based ecosystem services", "population trend"], "contacts": [{"organization": "Smiraglia, Daniela, Assennato, Francesca, Foldal, Cecilie, Asins-Velis, Sabina, Astover, Alar, Fioramonti, Veronica, Kukk, Liia, Mernagh, Orlaith, O'Sullivan, Lilian, Riitano, Nicola, Stefanova, Milena,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13982875"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13982875", "name": "item", "description": "10.5281/zenodo.13982875", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13982875"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-23T00:00:00Z"}}, {"id": "10.5281/zenodo.13983320", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:16Z", "type": "Report", "title": "SERENA Project: what is it telling us about soil ecosystem services in Europe?", "description": "Open AccessDisclaimer:The data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:  - It is the result of a modelling exercise and does not necessarily reflect reality.  - Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy and prior knowledge of the technical choices made.  - It is necessary to consider how the results have been obtained in order to decide on their relevance in relation to the intended purpose of reuse.  - These results are interesting from a scientific point of view, but their use for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data.  Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.", "keywords": ["EJP Soil", "soil health", "H2020", "soil function", "soil-based ecosystem services", "soil quality", "soil threats", "Grant  n 862695", "SERENA", "bundle", "Grant n 862695"], "contacts": [{"organization": "Assennato, Francesca, Smiraglia, Daniela, Riitano, Nicola, Luise, Anna, Calzolari, Costanza,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13983320"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13983320", "name": "item", "description": "10.5281/zenodo.13983320", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13983320"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-23T00:00:00Z"}}, {"id": "10.5281/zenodo.13983574", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:16Z", "type": "Report", "title": "Stakeholders' collaboration in defining scenarios relating to agricultural soils, on the basis of trends in relevant drivers", "description": "Open AccessDisclaimer:The data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:  - It is the result of a modelling exercise and does not necessarily reflect reality.  - Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy and prior knowledge of the technical choices made.  - It is necessary to consider how the results have been obtained in order to decide on their relevance in relation to the intended purpose of reuse.  - These results are interesting from a scientific point of view, but their use for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data.  Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.", "keywords": ["EJP Soil", "Task 1.4", "scenarios", "H2020", "land management", "land use", "WP1", "Grant n. 862695", "soil threats", "SERENA", "stakeholders", "climate change", "land cover", "soil-based ecosystem services", "population trend"], "contacts": [{"organization": "Smiraglia, Daniela, Assennato, Francesca, Foldal, Cecilie, Asins-Velis, Sabina, Astover, Alar, Fioramonti, Veronica, Kukk, Liia, Mernagh, Orlaith, O'Sullivan, Lilian, Riitano, Nicola, Stefanova, Milena,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13983574"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13983574", "name": "item", "description": "10.5281/zenodo.13983574", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13983574"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.13987916", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:16Z", "type": "Dataset", "title": "SERENA EJPSOIL IE MEATH GHG NEP", "description": "Open AccessThe data are derived from the calculation of indicators based on a standard methodology established as\u00a0part of the EJP Soil SERENA\u00a0programme. Please keep in mind that:       It is the result of a modelling exercise and does not necessarily reflect reality.     Despite the efforts made to provide reliable data, the results\u00a0may contain inconsistencies,\u00a0depending\u00a0in particular on\u00a0the raw data\u00a0available\u00a0and level of accuracy of the techniques chosen\u00a0and\u00a0their prior knowledge\u00a0.     It is necessary to consider how the results have been obtained\u00a0in order to\u00a0decide on their\u00a0relevance\u00a0in relation to the intended\u00a0purpose\u00a0of reuse.     These results are interesting from a scientific point of view, but their use\u00a0for environmental\u00a0management and policy issues should be done keeping the previous aspects in mind and\u00a0complementing when\u00a0necessary\u00a0the provided results with the best available data.      ==> Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.", "keywords": ["EJP Soil", " Serena", " Greenhouse gas", " soil based ecosystem service", " NEP", " Ireland"], "contacts": [{"organization": "Fahy, Alan, Bondi, Giulia, O'Sullivan, Lilian,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13987916"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13987916", "name": "item", "description": "10.5281/zenodo.13987916", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13987916"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-24T00:00:00Z"}}, {"id": "10.5281/zenodo.13991192", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:16Z", "type": "Dataset", "title": "EJPSOIL_SERENA: Maps of Soil Organic Carbon Loss Scenarios in Elva Parish, Estonia", "description": "Open AccessThe data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:It is the result of a modelling exercise and does not necessarily reflect reality.Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy of the techniques chosen and their prior knowledge. It is necessary to consider how the results have been obtained in order to decide on their relevance in relation to the intended purpose of reuse.These results are interesting from a scientific point of view, but their use for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data. Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.", "keywords": ["Estonia", "SERENA EJP SOIL", "model", "WP3", "Task 3.3", "SOC loss", "RothC", "management", "D3.4", "scenario"], "contacts": [{"organization": "Kauer, Karin, Escuer-Gatius, Jordi, Kukk, Liia,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13991192"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13991192", "name": "item", "description": "10.5281/zenodo.13991192", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13991192"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-25T00:00:00Z"}}, {"id": "10.5281/zenodo.13992532", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:16Z", "type": "Other", "title": "SERENA EJPSOIL IE WEXFORD SOIL SEALING", "description": "Open AccessThe internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.  We conducted an analysis using the Level 1 version of the soil-sealing cookbook on Sentinel 2 tiles 29UPU and 29UPT, with a reference year of 2019. For this analysis, we used National Orthophotos and Google Satellite images to confirm/deny potential changes in soil sealing identified by cookbook methodology. The 2018 Copernicus Land Monitoring Service High Resolution Layer Imperviousness served as the baseline for soil sealing.", "keywords": ["EJP Soil", " SERENA", " Soil sealing", " Soil based ecosystem service", " Ireland"], "contacts": [{"organization": "Fahy, Alan, Bondi, Giulia, O'Sullivan, Lilian,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13992532"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13992532", "name": "item", "description": "10.5281/zenodo.13992532", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13992532"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-25T00:00:00Z"}}, {"id": "10.5281/zenodo.14000724", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:17Z", "type": "Dataset", "title": "EPJSOIL SERENA WP3 T3.3 : France climatic and agricultural change modelling dataset (Naizin)", "description": "Open AccessThe internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales. \u00a0  Data aims to explore the effect of climate change according to different climate scenario up to 2050, and to understand the resistance of soil in response to climate change and different type of agricultural management. Additionally, it aims to understand the relations between SES, and the main factors affecting Soil Ecosystem Services (SES) variations. Data has been produced by the SERENA team WP3 T3.3 France using JAVA-STICS 10.0.0 model and the STICSonR package, using the input files specified in the data. Results consit of the yearly data of SES calculated from the daily modeling from STICS. Because of the file size of daily results from STICS, such file are not part of the dataset. Input data and R scripts used are instead provided.  Naizin\u2019s soil data come from Walter et al. (1993, 1996, 1998), climatic data were obtained from SAFRAN climatic data provided by M\u00e9t\u00e9o-France and were downloaded via the SICLIMA platform developed by AgroClim-INRAE. Plants and fertilizers data come from default dataset from STICS. All input data are available as part of this dataset.", "keywords": ["SERENA EJP SOIL", "model", "WP3", "T3.3", "Climate", "agricultural management", "STICS", "France", "scenario"], "contacts": [{"organization": "Lemercier, Blandine, Michot, Didier, Boutier, Antoine, Walter, Christian, Gaillot, Arthur, Montagne, David, Le Bas, Christine,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14000724"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14000724", "name": "item", "description": "10.5281/zenodo.14000724", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14000724"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-28T00:00:00Z"}}, {"id": "10.5281/zenodo.14000725", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:17Z", "type": "Dataset", "title": "EPJSOIL SERENA WP3 T3.3 : France climatic and agricultural change modelling dataset (Naizin)", "description": "Open AccessThe internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales. \u00a0  Data aims to explore the effect of climate change according to different climate scenario up to 2050, and to understand the resistance of soil in response to climate change and different type of agricultural management. Additionally, it aims to understand the relations between SES, and the main factors affecting Soil Ecosystem Services (SES) variations. Data has been produced by the SERENA team WP3 T3.3 France using JAVA-STICS 10.0.0 model and the STICSonR package, using the input files specified in the data. Results consit of the yearly data of SES calculated from the daily modeling from STICS. Because of the file size of daily results from STICS, such file are not part of the dataset. Input data and R scripts used are instead provided.  Naizin\u2019s soil data come from Walter et al. (1993, 1996, 1998), climatic data were obtained from SAFRAN climatic data provided by M\u00e9t\u00e9o-France and were downloaded via the SICLIMA platform developed by AgroClim-INRAE. Plants and fertilizers data come from default dataset from STICS. 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