{"type": "FeatureCollection", "features": [{"id": "1959.7/uws:72836", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:22Z", "type": "Journal Article", "created": "2023-04-24", "title": "Different Cerrado Ecotypes Show Contrasting Soil Microbial Properties, Functioning Rates, and Sensitivity to Changing Water Regimes", "description": "Abstract<p>Soil moisture is among the most important factors regulating soil biodiversity and functioning. Models forecast changes in the precipitation regime in many areas of the planet, but how these changes will influence soil functioning, and how biotic drivers modulate such effects, is far from being understood. We evaluated the responses of C and N fluxes, and soil microbial properties to different soil water regimes in soils from the main three ecotypes of the world's largest and most diverse tropical savanna. Further, we explored the direct and indirect effects of changes in the ecotype and soil water regimes on these key soil processes. Soils from the woodland savanna showed a better nutritional status than the other ecotypes, as well as higher potential N cycling rates, N2O emissions, and soil bacterial abundance but lower bacterial richness, whereas potential CO2 emissions and CH4 uptake peaked in the intermediate savanna. The ecotype also modulated the effects of changes in the soil water regime on nutrient cycling, greenhouse gas fluxes, and soil bacterial properties, with more intense responses in the intermediate savanna. Further, we highlight the existence of multiple contrasting direct and indirect (via soil microbes and abiotic properties) effects of an intensification of the precipitation regime on soil C- and N-related processes. Our results confirm that ecotype is a fundamental driver of soil properties and functioning in the Cerrado and that it can determine the responses of key soil processes to changes in the soil water regime.</p", "keywords": ["2. Zero hunger", "Ecotype", "0301 basic medicine", "Take urgent action to combat climate change and its impacts", "Naturgeografi", "ecotype", "Cerrado", "greenhouse gases.", "04 agricultural and veterinary sciences", "15. Life on land", "precipitation regime", "Precipitation regime", "cerrado", "03 medical and health sciences", "Greenhouse gases", "Physical Geography", "13. Climate action", "N cycle", "XXXXXX - Unknown", "0401 agriculture", " forestry", " and fisheries", "C cycle", "http://metadata.un.org/sdg/13", "cerrado; ecotype; precipitation regime; C cycle; N cycle; greenhouse gases"]}, "links": [{"href": "https://doi.org/1959.7/uws:72836"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecosystems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1959.7/uws:72836", "name": "item", "description": "1959.7/uws:72836", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1959.7/uws:72836"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-04-24T00:00:00Z"}}, {"id": "10.1002/ecy.2199", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:14:03Z", "type": "Journal Article", "created": "2018-02-27", "title": "Temperature and aridity regulate spatial variability of soil multifunctionality in drylands across the globe", "description": "Abstract<p>The relationship between the spatial variability of soil multifunctionality (i.e., the capacity of soils to conduct multiple functions; SVM) and major climatic drivers, such as temperature and aridity, has never been assessed globally in terrestrial ecosystems. We surveyed 236 dryland ecosystems from six continents to evaluate the relative importance of aridity and mean annual temperature, and of other abiotic (e.g., texture) and biotic (e.g., plant cover) variables as drivers of SVM, calculated as the averaged coefficient of variation for multiple soil variables linked to nutrient stocks and cycling. We found that increases in temperature and aridity were globally correlated to increases in SVM. Some of these climatic effects on SVM were direct, but others were indirectly driven through reductions in the number of vegetation patches and increases in soil sand content. The predictive capacity of our structural equation\uffc2\uffa0modelling was clearly higher for the spatial variability of N\uffe2\uff80\uff90 than for C\uffe2\uff80\uff90 and P\uffe2\uff80\uff90related soil variables. In the case of N cycling, the effects of temperature and aridity were both direct and indirect via changes in soil properties. For C and P, the effect of climate was mainly indirect via changes in plant attributes. These results suggest that future changes in climate may decouple the spatial availability of these elements for plants and microbes in dryland soils. Our findings significantly advance our understanding of the patterns and mechanisms driving SVM in drylands across the globe, which is critical for predicting changes in ecosystem functioning in response to climate change.</p", "keywords": ["Abiotic component", "Atmospheric sciences", "Physical geography", "Arid", "Climate Change", "Soil Science", "Spatial variability", "Environmental science", "Agricultural and Biological Sciences", "Soil", "Biodiversity Conservation and Ecosystem Management", "Soil texture", "Aridity index", "XXXXXX - Unknown", "Soil water", "FOS: Mathematics", "Pathology", "Climate change", "Biology", "Ecosystem", "Nature and Landscape Conservation", "Soil science", "2. Zero hunger", "Global and Planetary Change", "Soil Fertility", "Ecology", "Geography", "Global Forest Drought Response and Climate Change", "Statistics", "Temperature", "Life Sciences", "Cycling", "Geology", "FOS: Earth and related environmental sciences", "04 agricultural and veterinary sciences", "Plants", "15. Life on land", "Archaeology", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Medicine", "0401 agriculture", " forestry", " and fisheries", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "Ecosystem Functioning", "Vegetation (pathology)", "Mathematics", "carbon cycling; climate change; multifunctionality; nitrogen cycling; phosphorous cycling; spatial heterogeneity"]}, "links": [{"href": "https://eprints.whiterose.ac.uk/128150/8/Dur-n_et_al-2018-Ecology.pdf"}, {"href": "https://esajournals.onlinelibrary.wiley.com/doi/pdf/10.1002/ecy.2199"}, {"href": "https://doi.org/10.1002/ecy.2199"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/ecy.2199", "name": "item", "description": "10.1002/ecy.2199", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/ecy.2199"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-05-01T00:00:00Z"}}, {"id": "10.1007/s10021-023-00838-0", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:14:38Z", "type": "Journal Article", "created": "2023-04-24", "title": "Different Cerrado Ecotypes Show Contrasting Soil Microbial Properties, Functioning Rates, and Sensitivity to Changing Water Regimes", "description": "Abstract<p>Soil moisture is among the most important factors regulating soil biodiversity and functioning. Models forecast changes in the precipitation regime in many areas of the planet, but how these changes will influence soil functioning, and how biotic drivers modulate such effects, is far from being understood. We evaluated the responses of C and N fluxes, and soil microbial properties to different soil water regimes in soils from the main three ecotypes of the world's largest and most diverse tropical savanna. Further, we explored the direct and indirect effects of changes in the ecotype and soil water regimes on these key soil processes. Soils from the woodland savanna showed a better nutritional status than the other ecotypes, as well as higher potential N cycling rates, N2O emissions, and soil bacterial abundance but lower bacterial richness, whereas potential CO2 emissions and CH4 uptake peaked in the intermediate savanna. The ecotype also modulated the effects of changes in the soil water regime on nutrient cycling, greenhouse gas fluxes, and soil bacterial properties, with more intense responses in the intermediate savanna. Further, we highlight the existence of multiple contrasting direct and indirect (via soil microbes and abiotic properties) effects of an intensification of the precipitation regime on soil C- and N-related processes. Our results confirm that ecotype is a fundamental driver of soil properties and functioning in the Cerrado and that it can determine the responses of key soil processes to changes in the soil water regime.</p", "keywords": ["2. Zero hunger", "Ecotype", "0301 basic medicine", "Take urgent action to combat climate change and its impacts", "Naturgeografi", "ecotype", "Cerrado", "greenhouse gases.", "04 agricultural and veterinary sciences", "15. Life on land", "precipitation regime", "Precipitation regime", "cerrado", "03 medical and health sciences", "Greenhouse gases", "Physical Geography", "13. Climate action", "N cycle", "XXXXXX - Unknown", "0401 agriculture", " forestry", " and fisheries", "C cycle", "http://metadata.un.org/sdg/13", "cerrado; ecotype; precipitation regime; C cycle; N cycle; greenhouse gases"], "contacts": [{"organization": "Duran, Jorge, Meira-Neto, Joao, Delgado Baquerizo, Manuel (R17761), Hamonts, Kelly E., Figueiredo, Viviane, Enrich-Prast, Alex, Rodriguez, Alexandra,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1007/s10021-023-00838-0"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecosystems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10021-023-00838-0", "name": "item", "description": "10.1007/s10021-023-00838-0", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10021-023-00838-0"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-04-24T00:00:00Z"}}, {"id": "10.1016/j.jag.2024.103718", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:16:27Z", "type": "Journal Article", "created": "2024-02-20", "title": "Interseasonal transfer learning for crop mapping using Sentinel-1 data", "description": "Crop maps are highly desired information in modern agriculture as they enable possessors to manage their business in the most optimal way. Usually in remote sensing, crop mapping is performed using satellite images and within-season ground truth samples that are collected in extensive survey campaigns every year, neglecting information and knowledge that past seasons\u2019 classification models provided. This paper assessed different temporal transferring approaches, including transfer learning, together with traditional crop mapping approach to provide an exhaustive comparison. Transferring approaches differed in portion of knowledge utilized from a historical model and that coming from a target season dataset. Three distinct algorithms, Random Forest, Convolutional Neural Network and Transformer, were employed and evaluated using highly dense time series of Sentinel-1 data. Source and target domain were respectively represented by two sets, 2017\u20132020 and 2021 season data, and 9 different crop types were classified. Results showcased that transferring a model has a great potential in crop mapping when little to no ground truth data is available for the target season. However, traditional approach catches up rather quickly and even surpasses transfer learning approach in terms of performance after a certain portion of target domain data is collected. Without target season ground truth data, model transferring can yield modest crop mapping performance of 78% for F1 score, between 84% and 86% F1 score with transfer learning employed in conjunction with limited target season ground truth (i.e. between 120 and 720 parcels), and 88% F1 score at best with traditional approach (ca. 720 parcels). Even though a good discriminatory is found between different crop types, there is still a room for improvement regarding the least represented classes in the dataset. The study significantly contributes to the area of agricultural monitoring and management by demonstrating the effectiveness of transfer learning while lessening the necessity for extensive and labor-intensive data collection, thereby fostering cost and time efficiency. Utilizing Sentinel-1 data, it provides a practical and efficient solution for agricultural analysis worldwide regardless of cloudiness.", "keywords": ["2. Zero hunger", "Physical geography", "Crop mapping", "0211 other engineering and technologies", "04 agricultural and veterinary sciences", "02 engineering and technology", "15. Life on land", "Transfer learning", "GB3-5030", "Environmental sciences", "Sentinel-1", "Pre-trained model", "0401 agriculture", " forestry", " and fisheries", "GE1-350", "Domain"]}, "links": [{"href": "https://doi.org/10.1016/j.jag.2024.103718"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Journal%20of%20Applied%20Earth%20Observation%20and%20Geoinformation", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jag.2024.103718", "name": "item", "description": "10.1016/j.jag.2024.103718", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jag.2024.103718"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-04-01T00:00:00Z"}}, {"id": "10.1016/j.jag.2022.103101", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:16:27Z", "type": "Journal Article", "created": "2022-11-10", "title": "Forest foliage fuel load estimation from multi-sensor spatiotemporal features", "description": "Foliage fuel is the most flammable component in crown fires. Spatiotemporal dynamics of foliage fuel load (FFL) are important for fire managers to assess fire risk. Here, we integrated optical data from the Landsat 8 Operational Land Imager (OLI) with synthetic aperture radar (SAR) data from Sentinel-1 to estimate FFL. We first reconstructed seamless time series from the Landsat 8 and Sentinel-1 imagery by accounting for unequal time intervals between image observations and outliers. We then extracted temporal features that are proxies of the intra- and inter-annual dynamics from these time series. In addition, we derived spatial features from the imagery that quantify spatial context and therefore used varying window sizes. The random forest regression was implemented to assess the importance of the spatiotemporal features, reduce errors, and derive robust FFL estimates. The satellite estimates were validated against 96 field measurements from Pinus yunnanensis forests in the Liangshan Yi Autonomous Prefecture, Sichuan Province, China. Both the spatiotemporal features of SAR and optical data importantly contributed to FFL estimation. When only optical data was used, the model achieved a R2 of 0.75 (relative Root Mean Squared Error (rRMSE)\u00a0=\u00a025.3\u00a0%), while when only SAR data was used the R2 was 0.76 (rRMSE\u00a0=\u00a025.6\u00a0%). However, when optical and SAR data were combined, the R2 increased to 0.81 (rRMSE\u00a0=\u00a023.2\u00a0%). We also found that temporal features were more important predictors of FFL than features that captured spatial context. We demonstrated our FFL mapping method by a case study in the Chinese Sichuan Province, in relation to the occurrence of a fire. Our method needs additional validation over different tree species and forest types, yet has potential for mapping forest fuel loads and fire risk.", "keywords": ["Landsat 8", "Physical geography", "04 agricultural and veterinary sciences", "15. Life on land", "Fire risk", "01 natural sciences", "GB3-5030", "Spatiotemporal features", "Environmental sciences", "Forest foliage fuel load", "Sentinel-1", "0401 agriculture", " forestry", " and fisheries", "GE1-350", "SDG 14 - Life Below Water", "Random forest", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.jag.2022.103101"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Journal%20of%20Applied%20Earth%20Observation%20and%20Geoinformation", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jag.2022.103101", "name": "item", "description": "10.1016/j.jag.2022.103101", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jag.2022.103101"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-12-01T00:00:00Z"}}, {"id": "10.1016/j.jag.2024.103659", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:16:27Z", "type": "Journal Article", "created": "2024-01-21", "title": "Automatized Sentinel-2 mosaicking for large area forest mapping", "description": "Creating maps of forest inventory variables is commonly taking advantage of satellite images, which are mosaicked together for gaining larger coverage. Recently, mosaicking has increasingly shifted towards user friendly cloud-based online environments such as Google Earth Engine (GEE), which are equipped with huge image repositories and extensive processing capabilities. This enables the easy transferability of workflows into new image sets and diversifies the range of methodological options for mosaicking. The quality control of the output mosaic, ensuring that the reflectance values are representative to the targeted land cover, is however primarily based on certain assumptions or pre-set rules which may not always produce an optimal result. Our study focuses on assessing and comparing the performance of three different mosaicking algorithms for predicting forest inventory variables, based on an extensive set of field data on the main site type, fertility class, and volume and biomass of growing stock. One of the compared mosaics derives from manual image selection, thus enabling rigorous visual quality control, and two others are resting on GEE-assisted automatized methods which include applying a percentile-based statistic over all the input reflectance values and selecting the best pixels using predefined quality indicators. The results indicate that the manual and the percentile-based mosaics are generally providing the best and relatively equal performance levels. Compared to them, the quality-based mosaic has slightly lower accuracy particularly when predicting continuous variables (i.e., the volume and biomass of growing stock) and it suffers from minor image defects. For the total volume of growing stock, for example, the RMS errors are 56.22 % for the manual, 56.33 % for the percentile-based, and 59.47 % for the quality-based mosaics, respectively. These results indicate that from the perspective of large area forest mapping, automatically generated mosaics may provide approximately similar accuracy as compared to manually controlled workflow at a fraction of the workload.", "keywords": ["Image mosaicking", "Physical geography", "791", "forest research", "04 agricultural and veterinary sciences", "15. Life on land", "Feature prediction", "01 natural sciences", "GB3-5030", "Environmental sciences", "0401 agriculture", " forestry", " and fisheries", "GE1-350", "Sentinel-2", "Google Earth Engine", "satellite images", "Forest inventory", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Balazs Andras, Tuominen Sakari, Pitk\u00e4nen Timo P.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.jag.2024.103659"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Journal%20of%20Applied%20Earth%20Observation%20and%20Geoinformation", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jag.2024.103659", "name": "item", "description": "10.1016/j.jag.2024.103659", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jag.2024.103659"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-03-01T00:00:00Z"}}, {"id": "10.1016/j.ejrh.2021.100882", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:16:00Z", "type": "Journal Article", "created": "2021-07-30", "title": "Surface water and groundwater interaction at long-term exploited riverbank filtration site based on groundwater flow modelling (Mosina-Krajkowo, Poland)", "description": "Study region: Poland, Warta River catchment. Study focus: The study aimed to explain the reasons for spatial variability in chloride concentrations at the Mosina-Krajkowo riverbank filtration (RBF) site located along the river. This variability is attributed to RBF\u2019s different intensity along the river sections, related, among others, to clogging development. The RBF effectiveness was studied using groundwater flow modelling by: examining the water balance in zones established on hydrogeological setting and chloride concentrations; travel time of the bankfiltrate investigation; RBF parametrisation (i.e. infiltration per unit area and specific infiltration per unit of riverbank). New Hydrological Insights for the Region: The study identifies zones of the most favourable RBF conditions and establishes the variability causes. The overall share bankfiltrate was found at 75.8 %. Its spatial variation ranged widely from 41.1\u201389.3%, confirming the usefulness of the RBF performance sectional analysis in managing this type of site. The highest proportion of surface water (>80 %) occurred along the straight river section, where the riverbed was built by fine and medium sands (preventing penetration of organic suspension into the aquifer). In contrast, the lowest values (<42 %) occurred in the meander zone (with the most favourable RBF conditions at the beginning of site operation), where deep erosion reached coarse-grained sediments in the river bottom, followed by the development of clogging processes and a decrease in the RBF efficiency with time.", "keywords": ["Physical geography", "QE1-996.5", "Riverbed clogging", "Numerical modelling", "0208 environmental biotechnology", "0207 environmental engineering", "Geology", "Modflow", "02 engineering and technology", "Riverbank filtration", "6. Clean water", "Modpath", "GB3-5030"]}, "links": [{"href": "https://doi.org/10.1016/j.ejrh.2021.100882"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Hydrology%3A%20Regional%20Studies", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.ejrh.2021.100882", "name": "item", "description": "10.1016/j.ejrh.2021.100882", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.ejrh.2021.100882"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-10-01T00:00:00Z"}}, {"id": "10.1016/j.ejrh.2021.100903", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:16:01Z", "type": "Journal Article", "created": "2021-09-03", "title": "Evaluation of pedotransfer functions for predicting soil hydraulic properties: A voyage from regional to field scales across Europe", "description": "Study region: Europe. A total of 660, 522, and 4940 soil samples belonging to GRIZZLY, HYPRES, and EU-HYDI databases, respectively, were used for parametric evaluation. Study focus: The soil water retention and hydraulic conductivity functions are crucial input information for land surface models. Determining these functions by using direct methods is hampered by excessive time and unaffordable costs required for field activities and laboratory analyses. Pedotransfer functions (PTFs) are widely-used indirect techniques enabling soil hydraulic properties to be predicted by using easily-retrievable soil information. In a parametric evaluation, the predictive capability of PTFs is examined by comparing measured and estimated soil water retention parameters and saturated hydraulic conductivity. Yet information about the performance of PTFs for specific modeling applications is mandatory to evaluate PTF effectiveness in greater depth. This approach is commonly defined as functional evaluation. New hydrological insights for the region: The best performing four PTFs selected in the parametric evaluations are tested under two functional evaluations. The first encompasses a spatial interpolation with a geostatistical technique, whereas the second employs Hydrus-1D to simulate the water balance components along an experimental transect. Our results reinforce and integrate the insights of previous studies about the use of a PTF, and highlight the ability, or inability, of this technique to adequately reproduce the observed spatial variability of soil hydraulic properties and simulated water fluxes.", "keywords": ["S1 Agriculture (General) / mez\u0151gazdas\u00e1g \u00e1ltal\u00e1ban", "Physical geography", "QE1-996.5", "Water retention function", "Hydrus-1D", "saturated hydraulic conductivity", "0208 environmental biotechnology", "0207 environmental engineering", "Geology", "02 engineering and technology", "15. Life on land", "Semi-variogram", "S590 Soill / Talajtan", "Saturated hydraulic conductivity", "6. Clean water", "GB3-5030", "Kriging", "semi-variogram", "functional evaluation", "water retention function", "Functional evaluation", "kriging", "water retention function", " saturated hydraulic conductivity", " semi-variogram", " kriging", " functional evaluation", " Hydrus-1D"]}, "links": [{"href": "https://doi.org/10.1016/j.ejrh.2021.100903"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Hydrology%3A%20Regional%20Studies", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.ejrh.2021.100903", "name": "item", "description": "10.1016/j.ejrh.2021.100903", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.ejrh.2021.100903"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-10-01T00:00:00Z"}}, {"id": "10.1016/j.geoderma.2016.11.018", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:16:23Z", "type": "Journal Article", "created": "2016-11-24", "title": "Impacts Of Conversion Of Tropical Peat Swamp Forest To Oil Palm Plantation On Peat Organic Chemistry, Physical Properties And Carbon Stocks", "description": "Ecosystem services provided by tropical peat swamp forests, such as carbon (C) storage and water regulation, are under threat due to encroachment and replacement of these natural forests by drainage-based agriculture, commonly oil palm plantation. This study aims to quantify how the chemical and physical properties of peat change during land conversion to oil palm. This will be addressed by comparing four separate stages of conversion; namely, secondary peat swamp forests, recently deeply drained secondary forests, cleared and recently planted oil palm, and mature oil palm plantation in North Selangor, Malaysia. Results indicate accelerated peat decomposition in surface peats of mature oil palm plantations due to the lowered water table and altered litter inputs associated with this land-use change. Surface organic matter content and peat C stocks at secondary forest sites were higher than at mature oil palm sites (e.g. C stocks were 975 \u00b1 151 and 497 \u00b1 157 Mg ha\u2212 1 at secondary forest and mature oil palm sites, respectively). Land conversion altered peat physical properties such as shear strength, bulk density and porosity, with mirrored changes above and below the water table. Our findings suggest close links between the organic matter and C content and peat physical properties through the entire depth of the peat profile. We have demonstrated that conversion from secondary peat swamp forest to mature oil palm plantation may seriously compromise C storage and, through its impact on peat physical properties, the water holding capacity in these peatlands.", "keywords": ["GE", "QH301 Biology", "G Geography (General)", "Q Science (General)", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "333", "6. Clean water", "13. Climate action", "GB Physical geography", "0401 agriculture", " forestry", " and fisheries", "GE Environmental Sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://researchonline.ljmu.ac.uk/id/eprint/12410/3/Impacts%20of%20conversion%20of%20tropical%20peat%20swamp%20forest%20to%20oil%20palm%20plantation%20on%20peat%20organic%20chemistry%2C%20physical%20properties%20and%20carbon%20stocks.pdf"}, {"href": "https://doi.org/10.1016/j.geoderma.2016.11.018"}, {"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.2016.11.018", "name": "item", "description": "10.1016/j.geoderma.2016.11.018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2016.11.018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-03-01T00:00:00Z"}}, {"id": "10.1016/j.srs.2024.100118", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:16:57Z", "type": "Journal Article", "created": "2024-01-28", "title": "Satellite-based soil organic carbon mapping on European soils using available datasets and support sampling", "description": "Soil organic carbon (SOC) plays a major role in the global carbon cycle and is an important factor for soil health and fertility. Accurate mapping of SOC and other influencing parameters are crucial to guide the optimization of agricultural land management to maintain and restore soil health, to increase soil fertility, and thus to quantify its potential for sequestering CO2. Remote sensing and machine learning techniques offer promising approaches for predicting SOC distribution. In this study, we used remote sensing data and machine learning algorithms to map SOC at regional to large scale, which we then combined with temporospatial and spectral signature-based soil sampling to integrate local ground measurements. A rigorous validation approach was performed where several independent unseen datasets with a high number of samples were used, which additionally involved densely sampled fields. We found that our approach could predict SOC with an average percentage error of less than 10\u00a0% with an R2 of 0.91 using support sampling on croplands located on mineral soils, demonstrating the potential of remote sensing, machine learning, and specific ground measurements for mapping SOC. Our results suggest that this approach could make small carbon differences measurable and inform carbon sequestration efforts and improve our understanding of the impacts of land use and field management practices on soil carbon cycling.", "keywords": ["2. Zero hunger", "Physical geography", "Precision agriculture", "Science", "Q", "04 agricultural and veterinary sciences", "Remote sensing", "15. Life on land", "01 natural sciences", "GB3-5030", "13. Climate action", "Soil health", "Machine learning", "Soil carbon mapping", "0401 agriculture", " forestry", " and fisheries", "Soil carbon sequestration", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.srs.2024.100118"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.srs.2024.100118", "name": "item", "description": "10.1016/j.srs.2024.100118", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.srs.2024.100118"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-06-01T00:00:00Z"}}, {"id": "10.1029/2021ms002730", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:17:27Z", "type": "Journal Article", "created": "2022-02-17", "title": "Characterising the response of vegetation cover to water limitation in Africa using geostationary satellites", "description": "Abstract<p>Hydrological interactions between vegetation, soil, and topography are complex, and heterogeneous in semi\uffe2\uff80\uff90arid landscapes. This along with data scarcity poses challenges for large\uffe2\uff80\uff90scale modeling of vegetation\uffe2\uff80\uff90water interactions. Here, we exploit metrics derived from daily Meteosat data over Africa at ca. 5\uffc2\uffa0km spatial resolution for ecohydrological analysis. Their spatial patterns are based on Fractional Vegetation Cover (FVC) time series and emphasize limiting conditions of the seasonal wet to dry transition: the minimum and maximum FVC of temporal record, the FVC decay rate and the FVC integral over the decay period. We investigate the relevance of these metrics for large scale ecohydrological studies by assessing their co\uffe2\uff80\uff90variation with soil moisture, and with topographic, soil, and vegetation factors. Consistent with our initial hypothesis, FVC minimum and maximum increase with soil moisture, while the FVC integral and decay rate peak at intermediate soil moisture. We find evidence for the relevance of topographic moisture variations in arid regions, which, counter\uffe2\uff80\uff90intuitively, is detectable in the maximum but not in the minimum FVC. We find no clear evidence for wide\uffe2\uff80\uff90spread occurrence of the \uffe2\uff80\uff9cinverse texture effect\uffe2\uff80\uff9d on FVC. The FVC integral over the decay period correlates with independent data sets of plant water storage capacity or rooting depth while correlations increase with aridity. In arid regions, the FVC decay rate decreases with canopy height and tree cover fraction as expected for ecosystems with a more conservative water\uffe2\uff80\uff90use strategy. Thus, our observation\uffe2\uff80\uff90based products have large potential for better understanding complex vegetation\uffe2\uff80\uff90water interactions from regional to continental scales.</p>", "keywords": ["Physical geography", "GROUNDWATER-DEPENDENT ECOSYSTEMS", "water limitation", "GC1-1581", "geostationary", "SOIL-MOISTURE", "Oceanography", "01 natural sciences", "ecohydrology", "ROOTING DEPTH", "ACTIVE-ROLE", "WOODY COVER", "0105 earth and related environmental sciences", "fractional vegetation cover", "HYDROLOGIC PROCESSES", "15. Life on land", "6. Clean water", "GB3-5030", "MODEL", "CLIMATE", "13. Climate action", "Earth and Environmental Sciences", "PRECIPITATION", "Africa", "PATTERNS", "Research Article"]}, "links": [{"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2021MS002730"}, {"href": "https://doi.org/10.1029/2021ms002730"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Advances%20in%20Modeling%20Earth%20Systems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1029/2021ms002730", "name": "item", "description": "10.1029/2021ms002730", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1029/2021ms002730"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-11-25T00:00:00Z"}}, {"id": "10.1029/2022gl098700", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:17:27Z", "type": "Journal Article", "created": "2022-07-19", "title": "Drought Legacy in Sub\u2010Seasonal Vegetation State and Sensitivity to Climate Over the Northern Hemisphere", "description": "Abstract<p>Droughts affect ecosystems at multiple time scales, but their sub\uffe2\uff80\uff90seasonal legacy effects on vegetation activity remain unclear. Combining the satellite\uffe2\uff80\uff90based enhanced vegetation index MODIS EVI with a novel location\uffe2\uff80\uff90specific definition of the growing season, we quantify drought impacts on sub\uffe2\uff80\uff90seasonal vegetation activity and the subsequent recovery in the Northern Hemisphere. Drought legacy effects are quantified as changes in post\uffe2\uff80\uff90drought greenness and sensitivity to climate. We find that greenness losses under severe drought are partially compensated by a \uffe2\uff88\uffbc+5% greening within 2\uffe2\uff80\uff936 growing\uffe2\uff80\uff90season months following the droughts, both in woody and herbaceous vegetation but at different timings. In addition, post\uffe2\uff80\uff90drought sensitivity of herbaceous vegetation to hydrological conditions increases noticeably at high latitudes compared with the local normal conditions, regardless of the choice of drought time scales. In general, the legacy effects on sensitivity are larger in herbaceous vegetation than in woody vegetation.</p", "keywords": ["580", "570", "Ecology", "QC801-809", "Geophysics. Cosmic physics", "Geovetenskap och milj\u00f6vetenskap", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "6. Clean water", "Geovetenskap och relaterad milj\u00f6vetenskap", "growing season\u2010based analysis", "Physical Geography", "13. Climate action", "sub\u2010seasonal vegetation sensitivity", "ecosystem resilience", "0401 agriculture", " forestry", " and fisheries", "Earth and Related Environmental Sciences", "drought legacy", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://pub.epsilon.slu.se/28761/1/wu-m-et-al-20220902.pdf"}, {"href": "https://doi.org/10.1029/2022gl098700"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geophysical%20Research%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1029/2022gl098700", "name": "item", "description": "10.1029/2022gl098700", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1029/2022gl098700"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-08-04T00:00:00Z"}}, {"id": "10.5194/tc-2018-16", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:21:21Z", "type": "Journal Article", "created": "2018-03-09", "title": "Carbonaceous material export from Siberian permafrost tracked across the Arctic Shelf using Raman spectroscopy", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Warming-induced erosion of permafrost from Eastern Siberia mobilises large amounts of organic carbon and delivers it to the East Siberian Arctic Shelf (ESAS). In this study Raman spectroscopy of Carbonaceous Material (CM) was used to characterise, identify and track the most recalcitrant fraction of the organic load. 1463 spectra were obtained from surface sediments collected across the ESAS and automatically analysed for their Raman peaks. Spectra were classified by their peak areas and widths into Disordered, Intermediate, Mildly Graphitised and Highly Graphitised groups, and the distribution of these classes was investigated across the shelf. Disordered CM was most prevalent in a permafrost core from Kurungnakh Island, and from areas known to have high rates of coastal erosion. Sediments from outflows of the Indigirka and Kolyma rivers were generally enriched in Intermediate CM. These different sediment sources were identified and distinguished along an E-W transect using their Raman spectra, showing that sediment is not homogenised on the ESAS. Distal samples, from the ESAS slope, contained greater amounts of Highly Graphitised CM compared to the rest of the shelf, attributable to degradation or, more likely, winnowing processes offshore. The presence of all four spectral classes in distal sediments demonstrates that CM degrades much slower than lipid biomarkers and other traditional tracers of terrestrial organic matter, and shows that alongside degradation of the more labile organic matter component there is also conservative transport of carbon across the shelf toward the deep ocean. Thus, carbon cycle calculations must consider the nature as well as the amount of carbon liberated from thawing permafrost and other erosional settings.                         </p></article>", "keywords": ["Ocean", "River", "QE1-996.5", "550", "500", "Terrigenous Organic-Matter", "Geology", "Terrestrial", "Old Carbon", "01 natural sciences", "Sediments", "Environmental sciences", "Degradation", "13. Climate action", "Laptev Sea", "Meteorology & Atmospheric Sciences", "Graphite", "GE1-350", "0405 Oceanography", "14. Life underwater", "Black Carbon", "0406 Physical Geography And Environmental Geoscience", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://tc.copernicus.org/articles/12/3293/2018/tc-12-3293-2018.pdf"}, {"href": "https://doi.org/10.5194/tc-2018-16"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20Cryosphere", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/tc-2018-16", "name": "item", "description": "10.5194/tc-2018-16", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/tc-2018-16"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-03-09T00:00:00Z"}}, {"id": "10.1029/2017wr022067", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:17:25Z", "type": "Journal Article", "created": "2019-01-04", "title": "14C\u2010Free Carbon Is a Major Contributor to Cellular Biomass in Geochemically Distinct Groundwater of Shallow Sedimentary Bedrock Aquifers", "description": "Abstract<p>Despite the global significance of the subsurface biosphere, the degree to which it depends on surface organic carbon (OC) is still poorly understood. Here, we compare stable and radiogenic carbon isotope compositions of microbial phospholipid fatty acids (PLFAs) with those of in situ potential microbial C sources to assess the major C sources for subsurface microorganisms in biogeochemical distinct shallow aquifers (Critical Zone Exploratory, Thuringia Germany). Despite the presence of younger OC, the microbes assimilated 14C\uffe2\uff80\uff90free OC to varying degrees; ~31% in groundwater within the oxic zone, ~47% in an iron reduction zone, and ~70% in a sulfate reduction/anammox zone. The persistence of trace amounts of mature and partially biodegraded hydrocarbons suggested that autochthonous petroleum\uffe2\uff80\uff90derived hydrocarbons were a potential 14C\uffe2\uff80\uff90free C source for heterotrophs in the oxic zone. In this zone, \uffce\uff9414C values of dissolved inorganic carbon (\uffe2\uff88\uff92366\uffc2\uffa0\uffc2\uffb1\uffc2\uffa018\uffe2\uff80\uffb0) and 11MeC16:0 (\uffe2\uff88\uff92283\uffc2\uffa0\uffc2\uffb1\uffc2\uffa032\uffe2\uff80\uffb0), an important component in autotrophic nitrite oxidizers, were similar enough to indicate that autotrophy is an important additional C fixation pathway. In anoxic zones, methane as an important C source was unlikely since the 13C\uffe2\uff80\uff90fractionations between the PLFAs and CH4 were inconsistent with kinetic isotope effects associated with methanotrophy. In the sulfate reduction/anammox zone, the strong 14C\uffe2\uff80\uff90depletion of 10MeC16:0 (\uffe2\uff88\uff92942\uffc2\uffa0\uffc2\uffb1\uffc2\uffa022\uffe2\uff80\uffb0), a PLFA common in sulfate reducers, indicated that those bacteria were likely to play a critical part in 14C\uffe2\uff80\uff90free sedimentary OC cycling. Results indicated that the 14C\uffe2\uff80\uff90content of microbial biomass in shallow sedimentary aquifers results from complex interactions between abundance and bioavailability of naturally occurring OC, hydrogeology, and specific microbial metabolisms.</p", "keywords": ["2. Zero hunger", "0301 basic medicine", "0303 health sciences", "assimilation", "Environmental Engineering", "Environmental engineering", "Geology", "subsurface", "15. Life on land", "Civil Engineering", "Physical Geography and Environmental Geoscience", "6. Clean water", "03 medical and health sciences", "Geochemistry", "13. Climate action", "C cycling", "Earth Sciences", "radiocarbon", "PLFA", "microbial function", "Civil engineering", "Hydrology", "Research Articles"]}, "links": [{"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2017WR022067"}, {"href": "https://escholarship.org/content/qt28c3v5mf/qt28c3v5mf.pdf"}, {"href": "https://doi.org/10.1029/2017wr022067"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water%20Resources%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1029/2017wr022067", "name": "item", "description": "10.1029/2017wr022067", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1029/2017wr022067"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-03-01T00:00:00Z"}}, {"id": "10.1038/nclimate2940", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:17:30Z", "type": "Journal Article", "created": "2016-02-19", "title": "Tundra Soil Carbon Is Vulnerable To Rapid Microbial Decomposition Under Climate Warming", "description": "Release of carbon previously locked in permafrost is a potentially important positive climate feedback. Now metagenomics reveal the vulnerability of active-layer soil carbon to warming-induced microbial decomposition in Alaskan tundra.", "keywords": ["Climate Action", "Environmental Science and Management", "13. Climate action", "15. Life on land", "Physical Geography and Environmental Geoscience", "Atmospheric Sciences"]}, "links": [{"href": "https://escholarship.org/content/qt0819x7ft/qt0819x7ft.pdf"}, {"href": "https://doi.org/10.1038/nclimate2940"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Climate%20Change", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/nclimate2940", "name": "item", "description": "10.1038/nclimate2940", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/nclimate2940"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-02-22T00:00:00Z"}}, {"id": "10.1038/s41559-024-02501-w", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:17:34Z", "type": "Journal Article", "created": "2024-08-07", "title": "Water limitation regulates positive feedback of increased ecosystem respiration", "description": "Terrestrial ecosystem respiration increases exponentially with temperature, constituting a positive feedback loop accelerating global warming. However, the response of ecosystem respiration to temperature strongly depends on water availability, yet where and when the water effects are important, is presently poorly constrained, introducing uncertainties in climate-carbon cycle feedback projections. Here, we disentangle the effects of temperature and precipitation (a proxy for water availability) on ecosystem respiration by analysing eddy covariance CO2 flux measurements across 212 globally distributed sites. We reveal a threshold precipitation function, determined by the balance between precipitation and ecosystem water demand, which separates temperature-limited and water-limited respiration. Respiration is temperature limited for precipitation above that threshold function, whereas in drier areas water limitation reduces the temperature sensitivity of respiration and its positive feedback to global warming. If the trend of expansion of water-limited areas with warming climate over the last decades continues, the positive feedback of ecosystem respiration is likely to be weakened and counteracted by the increasing water limitation.", "keywords": ["0301 basic medicine", "0303 health sciences", "Naturgeografi", "Climate Change", "Rain", "Temperature", "Water", "Carbon Dioxide", "15. Life on land", "Global Warming", "6. Clean water", "Carbon Cycle", "03 medical and health sciences", "Physical Geography", "13. Climate action", "SDG 13 - Climate Action", "Ecosystem", "SDG 15 - Life on Land"]}, "links": [{"href": "https://doi.org/10.1038/s41559-024-02501-w"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Ecology%20%26amp%3B%20Evolution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41559-024-02501-w", "name": "item", "description": "10.1038/s41559-024-02501-w", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41559-024-02501-w"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-08-07T00:00:00Z"}}, {"id": "10.1038/s41561-019-0318-6", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:17:34Z", "type": "Journal Article", "created": "2019-03-11", "title": "Drought impacts on terrestrial primary production underestimated by satellite monitoring", "description": "Satellite retrievals of information about the Earth's surface are widely used to monitor global terrestrial photosynthesis and primary production and to examine the ecological impacts of droughts. Methods for estimating photosynthesis from space commonly combine information on vegetation greenness, incoming radiation, temperature and atmospheric demand for water (vapour-pressure deficit), but do not account for the direct effects of low soil moisture. They instead rely on vapour-pressure deficit as a proxy for dryness, despite widespread evidence that soil moisture deficits have a direct impact on vegetation, independent of vapour-pressure deficit. Here, we use a globally distributed measurement network to assess the effect of soil moisture on photosynthesis, and identify a common bias in an ensemble of satellite-based estimates of photosynthesis that is governed by the magnitude of soil moisture effects on photosynthetic light-use efficiency. We develop methods to account for the influence of soil moisture and estimate that soil moisture effects reduce global annual photosynthesis by ~15%, increase interannual variability by more than 100% across 25% of the global vegetated land surface, and amplify the impacts of extreme events on primary production. These results demonstrate the importance of soil moisture effects for monitoring carbon-cycle variability and drought impacts on vegetation productivity from space.", "keywords": ["550", "0207 environmental engineering", "02 engineering and technology", "01 natural sciences", "Physical Geography and Environmental Geoscience", "USE EFFICIENCY", "NET PRIMARY PRODUCTION", "Meteorology & Atmospheric Sciences", "Geosciences", " Multidisciplinary", "WATER-STRESS", "Physical geography and environmental geoscience", "0105 earth and related environmental sciences", "2. Zero hunger", "Multidisciplinary", "Science & Technology", "CLIMATE-CHANGE", "Ecology", "PHOTOSYNTHESIS", "Geology", "GROSS PRIMARY PRODUCTION", "Carbon cycle", "Biogeochemistry", "15. Life on land", "FOREST", "6. Clean water", "ATMOSPHERIC DEMAND", "13. Climate action", "Physical Sciences", "Earth Sciences", "RADIATION", "CARBON UPTAKE", "Geosciences"]}, "links": [{"href": "http://www.nature.com/articles/s41561-019-0318-6.pdf"}, {"href": "https://escholarship.org/content/qt2hr7r7gk/qt2hr7r7gk.pdf"}, {"href": "https://doi.org/10.1038/s41561-019-0318-6"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Geoscience", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41561-019-0318-6", "name": "item", "description": "10.1038/s41561-019-0318-6", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41561-019-0318-6"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-03-11T00:00:00Z"}}, {"id": "10.1038/s41561-020-0596-z", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:17:34Z", "type": "Journal Article", "created": "2020-06-29", "title": "The age distribution of global soil carbon inferred from radiocarbon measurements", "description": "Soils contain more carbon than the atmosphere and vegetation combined. An increased flow of carbon from the atmosphere into soil pools could help mitigate anthropogenic emissions of carbon dioxide and climate change. Yet we do not know how quickly soils might respond because the age distribution of soil carbon is uncertain. Here we used 789 radiocarbon (\u220614C) profiles, along with other geospatial information, to create globally gridded datasets of mineral soil \u220614C and mean age. We found that soil depth is a primary driver of \u220614C, whereas climate (for example, mean annual temperature) is a major control on the spatial pattern of \u220614C in surface soil. Integrated to a depth of 1\u2009m, global soil carbon has a mean age of 4,830\u2009\u00b1\u20091,730\u2009yr, with older carbon in deeper layers and permafrost regions. In contrast, vertically resolved land models simulate \u220614C values that imply younger carbon ages and a more rapid carbon turnover. Our data-derived estimates of older mean soil carbon age suggest that soils will accumulate less carbon than predicted by current Earth system models over the twenty-first century. Reconciling these models with the global distribution of soil radiocarbon will require a better representation of the mechanisms that control carbon persistence in soils. Soils may accumulate less carbon and with a slower turnover than Earth system models predict, according to analysis of the age distribution of global soil carbon, which finds that the mean age of soil carbon is older than that in simulated in models.", "keywords": ["Climate Action", "0301 basic medicine", "03 medical and health sciences", "13. Climate action", "Earth Sciences", "Meteorology & Atmospheric Sciences", "15. Life on land", "Physical geography and environmental geoscience", "01 natural sciences", "Physical Geography and Environmental Geoscience", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.nature.com/articles/s41561-020-0596-z.pdf"}, {"href": "https://escholarship.org/content/qt2738s2mj/qt2738s2mj.pdf"}, {"href": "https://doi.org/10.1038/s41561-020-0596-z"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Geoscience", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41561-020-0596-z", "name": "item", "description": "10.1038/s41561-020-0596-z", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41561-020-0596-z"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-06-29T00:00:00Z"}}, {"id": "10.1038/s43247-021-00192-w", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:17:37Z", "type": "Journal Article", "created": "2021-06-10", "title": "Carbon dioxide fluxes increase from day to night across European streams", "description": "Abstract<p>Globally, inland waters emit over 2 Pg of carbon per year as carbon dioxide, of which the majority originates from streams and rivers. Despite the global significance of fluvial carbon dioxide emissions, little is known about their diel dynamics. Here we present a large-scale assessment of day- and night-time carbon dioxide fluxes at the water-air interface across 34 European streams. We directly measured fluxes four times between October 2016 and July 2017 using drifting chambers. Median fluxes are 1.4 and 2.1\uffe2\uff80\uff89mmol\uffe2\uff80\uff89m\uffe2\uff88\uff922 h\uffe2\uff88\uff921 at midday and midnight, respectively, with night fluxes exceeding those during the day by 39%. We attribute diel carbon dioxide flux variability mainly to changes in the water partial pressure of carbon dioxide. However, no consistent drivers could be identified across sites. Our findings highlight widespread day-night changes in fluvial carbon dioxide fluxes and suggest that the time of day greatly influences measured carbon dioxide fluxes across European streams.</p", "keywords": ["DYNAMICS", "0106 biological sciences", "DIURNAL-VARIATION", "550", "Naturgeografi", "PCO(2)", "Geography & travel", "Oceanografi", " hydrologi och vattenresurser", "910", "01 natural sciences", "Oceanography", " Hydrology and Water Resources", "105205 Klimawandel", "Limnology", "105304 Hydrologie", "SDG 13 - Climate Action", "info:eu-repo/classification/ddc/910", "106026 Ecosystem research", "1ST-ORDER STREAM", "106020 Limnology", "105205 Climate change", "0105 earth and related environmental sciences", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "EVASION", "Carbon cycle", "ddc:910", "106020 Limnologie", "Climate Science", "ECOSYSTEM METABOLISM", "WATER-AIR", "Physical Geography", "106026 \u00d6kosystemforschung", "CO2 EMISSIONS", "13. Climate action", "SDG 13 \u2013 Ma\u00dfnahmen zum Klimaschutz", "Environmental chemistry", "DISSOLVED ORGANIC-MATTER", "Klimatvetenskap", "105304 Hydrology", "GAS-EXCHANGE"]}, "links": [{"href": "https://eprints.bournemouth.ac.uk/35763/1/s43247-021-00192-w.pdf"}, {"href": "https://iris.unito.it/bitstream/2318/1799544/1/106%20EURORUN.pdf"}, {"href": "https://www.nature.com/articles/s43247-021-00192-w.pdf"}, {"href": "https://doi.org/10.1038/s43247-021-00192-w"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Communications%20Earth%20%26amp%3B%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s43247-021-00192-w", "name": "item", "description": "10.1038/s43247-021-00192-w", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s43247-021-00192-w"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-22T00:00:00Z"}}, {"id": "10.1038/s41586-023-06042-3", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:17:35Z", "type": "Journal Article", "created": "2023-05-24", "title": "Microbial carbon use efficiency promotes global soil carbon storage", "description": "Abstract<p>Soils store more carbon than other terrestrial ecosystems1,2. How soil organic carbon (SOC) forms and persists remains uncertain1,3, which makes it challenging to understand how it will respond to climatic change3,4. It has been suggested that soil microorganisms play an important role in SOC formation, preservation and loss5\uffe2\uff80\uff937. Although microorganisms affect the accumulation and loss of soil organic matter through many pathways4,6,8\uffe2\uff80\uff9311, microbial carbon use efficiency (CUE) is an integrative metric that can capture the balance of these processes12,13. Although CUE has the potential to act as a predictor of variation in SOC storage, the role of CUE in SOC persistence remains unresolved7,14,15. Here we examine the relationship between CUE and the preservation of SOC, and interactions with climate, vegetation and edaphic properties, using a combination of global-scale datasets, a microbial-process explicit model, data assimilation, deep learning and meta-analysis. We find that CUE is at least four times as important as other evaluated factors, such as carbon input, decomposition or vertical transport, in determining SOC storage and its spatial variation across the globe. In addition, CUE shows a positive correlation with SOC content. Our findings point to microbial CUE as a major determinant of global SOC storage. Understanding the microbial processes underlying CUE and their environmental dependence may help the prediction of SOC feedback to a changing climate.</p", "keywords": ["Carbon Sequestration", "Supplementary Information", "550", "Naturgeografi", "General Science & Technology", "Climate Change", "Veterinary and Food Sciences", "Soil Science", "Datasets as Topic", "Markvetenskap", "530", "630", "Article", "[SDU] Sciences of the Universe [physics]", "Soil", "Deep Learning", "SDG 13 - Climate Action", "General", "Ecosystem", "Soil Microbiology", "SDG 15 - Life on Land", "2. Zero hunger", "Ekologi", "Agricultural", "Ecology", "Forestry Sciences", "15. Life on land", "Biogeochemistry", "Biological Sciences", "Plants", "Carbon", "Climate Action", "Physical Geography", "13. Climate action", "[SDU]Sciences of the Universe [physics]"]}, "links": [{"href": "https://www.nature.com/articles/s41586-023-06042-3.pdf"}, {"href": "https://escholarship.org/content/qt7gx1r34k/qt7gx1r34k.pdf"}, {"href": "https://scholars.unh.edu/context/faculty_pubs/article/2655/viewcontent/11.pdf"}, {"href": "https://doi.org/10.1038/s41586-023-06042-3"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41586-023-06042-3", "name": "item", "description": "10.1038/s41586-023-06042-3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41586-023-06042-3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-05-24T00:00:00Z"}}, {"id": "10.1080/10106049.2025.2493741", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:18:01Z", "type": "Journal Article", "created": "2025-04-28", "title": "The model for grain wheat yield prediction at high spatial resolution based on physical-geographical properties and satellite vegetation indices", "description": "Precision agriculture is promising approach for improving agricultural production, especially nowadays when the population is rapidly increasing. For that, crop yield estimation provides valuable information. The main research focus was to predict within-field grain yield and detect its drivers. The Random Forest regression model on data from diverse sources at the 10-meter spatial resolution was developed. The study was conducted in the Vojvodina region (Serbia) for eight wheat-planted fields, having precise grain yield data. Open-source data including 15 vegetation indices (VIs) was calculated from Sentinel-2 satellite bands, physical-geographical features obtained from the digital elevation model and soil properties. The model succeeded in predicting the wheat grain yield with the RMSE of 0.66 t/ha (average yield of 0.09 t/ha) and the best predictors were VIs considering chlorophyll and moisture content in plants, while physical-geographical properties managed to explain within-field variability. This methodology can be applied to other crops (maize, soybean).", "keywords": ["Topography", "remote sensing", "Physical geography", "machine learning", "remotesensing", "wheat yield", "GB3-5030"], "contacts": [{"organization": "Blagojevi\u0107, Dragana, Pajevi\u0107, Nina, Mimi\u0107, Gordan, \u0106ukovi\u0107, Stefanija, Markovi\u0107, Slobodan B., Maestrini, Bernardo, Brdar, Sanja,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1080/10106049.2025.2493741"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geocarto%20International", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1080/10106049.2025.2493741", "name": "item", "description": "10.1080/10106049.2025.2493741", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1080/10106049.2025.2493741"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-04-28T00:00:00Z"}}, {"id": "10.1111/ecog.05478", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:18:22Z", "type": "Journal Article", "created": "2021-05-07", "title": "Multi\u2010taxa colonisation along the foreland of a vanishing equatorial glacier", "description": "<p>Retreating glaciers, icons of climate change, release new potential habitats for both aquatic and terrestrial organisms. High\uffe2\uff80\uff90elevation species are threatened by temperature increases and the upward migration of lowlands species. Improving our understanding of successional processes after glacier retreat becomes urgent, especially in the tropics, where glacier shrinkage is particularly fast. We examined the successional patterns of aquatic invertebrates, ground beetles, terrestrial plants, soil eukaryotes (algae, invertebrates, plants) in an equatorial glacier foreland (Carihuairazo, Ecuador). Based on both taxonomical identification and eDNA metabarcoding, we analysed the effects of both environmental conditions and age of deglacierization on community composition. Except for algae, diversity increased with time since deglacierization, especially among passive dispersers, suggesting that dispersal was a key driver structuring the glacier foreland succession. Spatial \uffce\uffb2\uffe2\uff80\uff90diversity was mainly attributed to nestedness for aquatic invertebrates, terrestrial plants and soil algae, likely linked to low environmental variability within the studied glacier foreland; and to turnover for soil invertebrates, suggesting competition exclusion at the oldest successional stage. Pioneer communities were dominated by species exhibiting flexible feeding strategies and high dispersal ability (mainly transported by wind), probably colonising from lower altitudes, or from the glacier in the case of algae. Overall, glacier foreland colonisation in the tropics exhibit common characteristics to higher latitudes. High\uffe2\uff80\uff90elevation species are nevertheless threatened, as the imminent extinction of many tropical glaciers will affect species associated to glacier\uffe2\uff80\uff90influenced habitats but also prevent cold\uffe2\uff80\uff90adapted and hygrophilous species from using these habitats as refuges in a warming world.</p>", "keywords": ["Colonization", "[SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics", "550", "Early succession", "glacier retreat", "Sociology", "[SDV.EE.ECO] Life Sciences [q-bio]/Ecology", " environment/Ecosystems", "Environmental DNA Sequencing", "Glacier", "Ecology", "Geography", "early succession", "Life Sciences", "Phylogenetics and taxonomy", "Biodiversity", "[SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics", "Threatened species", "FOS: Sociology", "Multiple-taxa", "multiple-taxa", "Habitat", "[SDE]Environmental Sciences", "Physical Sciences", "environment/Ecosystems", "570", "Physical geography", "Population", "Global Diversity of Microbial Eukaryotes and Their Evolution", "[SDV.BV.BOT] Life Sciences [q-bio]/Vegetal Biology/Botanics", "Ecological succession", "Biochemistry", " Genetics and Molecular Biology", "Biological dispersal", "[SDV.BID.SPT] Life Sciences [q-bio]/Biodiversity/Systematics", " Phylogenetics and taxonomy", "equatorial glacier foreland", "Equatorial glacier foreland", "Glacier retreat", "Molecular Biology", "Biology", "Demography", "Marine Microbial Diversity and Biogeography", "Colonisation", "South America", "15. Life on land", "[SDE.BE] Environmental Sciences/Biodiversity and Ecology", "13. Climate action", "FOS: Biological sciences", "[SDV.EE.ECO]Life Sciences [q-bio]/Ecology", "Environmental Science", "[SDE.BE]Environmental Sciences/Biodiversity and Ecology", "early succession; equatorial glacier foreland; glacier retreat; multiple-taxa", "Environmental DNA in Biodiversity Monitoring"]}, "links": [{"href": "https://air.unimi.it/bitstream/2434/851699/2/rosero%202021.pdf"}, {"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/ecog.05478"}, {"href": "https://doi.org/10.1111/ecog.05478"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecography", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/ecog.05478", "name": "item", "description": "10.1111/ecog.05478", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/ecog.05478"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-05-06T00:00:00Z"}}, {"id": "10.1111/nph.19572", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:18:48Z", "type": "Journal Article", "created": "2024-02-12", "title": "Modelling optimal ligninolytic activity during plant litter decomposition", "description": "Summary<p>   <p>A large fraction of plant litter comprises recalcitrant aromatic compounds (lignin and other phenolics). Quantifying the fate of aromatic compounds is difficult, because oxidative degradation of aromatic carbon (C) is a costly but necessary endeavor for microorganisms, and we do not know when gains from the decomposition of aromatic C outweigh energetic costs.</p>  <p>To evaluate these tradeoffs, we developed a litter decomposition model in which the aromatic C decomposition rate is optimized dynamically to maximize microbial growth for the given costs of maintaining ligninolytic activity. We tested model performance against &gt;\uffe2\uff80\uff89200 litter decomposition datasets collected from published literature and assessed the effects of climate and litter chemistry on litter decomposition.</p>  <p>The model predicted a time\uffe2\uff80\uff90varying ligninolytic oxidation rate, which was used to calculate the lag time before the decomposition of aromatic C is initiated. Warmer conditions increased decomposition rates, shortened the lag time of aromatic C oxidation, and improved microbial C\uffe2\uff80\uff90use efficiency by decreasing the costs of oxidation. Moreover, a higher initial content of aromatic C promoted an earlier start of aromatic C decomposition under any climate.</p>  <p>With this contribution, we highlight the application of eco\uffe2\uff80\uff90evolutionary approaches based on optimized microbial life strategies as an alternative parametrization scheme for litter decomposition models.</p>  </p", "keywords": ["0106 biological sciences", "Naturgeografi", "aromatic", "Climate", "lignin", "metabolic tradeoff", "litter decomposition", "04 agricultural and veterinary sciences", "Plants", "15. Life on land", "eco-evolutionary dynamics", "Lignin", "Models", " Biological", "01 natural sciences", "Carbon", "Plant Leaves", "optimal control", "Biodegradation", " Environmental", "Physical Geography", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Oxidation-Reduction"]}, "links": [{"href": "https://nph.onlinelibrary.wiley.com/doi/pdf/10.1111/nph.19572"}, {"href": "https://doi.org/10.1111/nph.19572"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/New%20Phytologist", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/nph.19572", "name": "item", "description": "10.1111/nph.19572", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/nph.19572"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-02-11T00:00:00Z"}}, {"id": "10.1126/sciadv.abb6546", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:18:51Z", "type": "Journal Article", "created": "2020-10-16", "title": "Remobilization of dormant carbon from Siberian-Arctic permafrost during three past warming events", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Arctic Ocean sediments reveal permafrost thaw and carbon release during three large warming events of the past 27,000 years.</p></article>", "keywords": ["0301 basic medicine", "13 Climate Action", "0303 health sciences", "03 medical and health sciences", "13. Climate action", "37 Earth Sciences", "3705 Geology", "3709 Physical Geography and Environmental Geoscience", "15. Life on land", "Research Articles"]}, "links": [{"href": "https://doi.org/10.1126/sciadv.abb6546"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20Advances", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1126/sciadv.abb6546", "name": "item", "description": "10.1126/sciadv.abb6546", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1126/sciadv.abb6546"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-10-16T00:00:00Z"}}, {"id": "10.1128/mbio.00455-24", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:18:52Z", "type": "Journal Article", "created": "2024-03-25", "title": "Priorities, opportunities, and challenges for integrating microorganisms into Earth system models for climate change prediction", "description": "ABSTRACT                                     <p>Climate change jeopardizes human health, global biodiversity, and sustainability of the biosphere. To make reliable predictions about climate change, scientists use Earth system models (ESMs) that integrate physical, chemical, and biological processes occurring on land, the oceans, and the atmosphere. Although critical for catalyzing coupled biogeochemical processes, microorganisms have traditionally been left out of ESMs. Here, we generate a \uffe2\uff80\uff9ctop 10\uffe2\uff80\uff9d list of priorities, opportunities, and challenges for the explicit integration of microorganisms into ESMs. We discuss the need for coarse-graining microbial information into functionally relevant categories, as well as the capacity for microorganisms to rapidly evolve in response to climate-change drivers. Microbiologists are uniquely positioned to collect novel and valuable information necessary for next-generation ESMs, but this requires data harmonization and transdisciplinary collaboration to effectively guide adaptation strategies and mitigation policy.</p>", "keywords": ["Naturgeografi", "Earth", " Planet", "Climate Change", "Microbiology", "traits", "biogeochemistry", "Humans", "Ecosystem", "Biomedical and Clinical Sciences", "Bacteria", "biogeochemistry; modeling; traits; climate change", "modeling", "Opinion/Hypothesis", "Biodiversity", "Biological Sciences", "Medical microbiology", "Models", " Theoretical", "15. Life on land", "QR1-502", "6. Clean water", "Climate Science", "3. Good health", "Climate Action", "climate change", "Physical Geography", "Medical Microbiology", "13. Climate action", "Biochemistry and cell biology", "Biochemistry and Cell Biology", "Generic health relevance", "Klimatvetenskap"]}, "links": [{"href": "https://journals.asm.org/doi/pdf/10.1128/mbio.00455-24"}, {"href": "https://doi.org/10.1128/mbio.00455-24"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/mBio", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1128/mbio.00455-24", "name": "item", "description": "10.1128/mbio.00455-24", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1128/mbio.00455-24"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-05-08T00:00:00Z"}}, {"id": "10.19103/as.2021.0098.15", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:19:34Z", "type": "Report", "created": "2022-05-09", "title": "Integrated weed management in grasslands", "description": "<p>This chapter describes the current status of IWM for grasslands. Its focus is on management practices available to influence transitions in a weed\uffe2\uff80\uff99s life cycle: from the soil seed bank to seedling establishment, from the seedling stage to the mature plant, and from the mature plant to the soil seed bank. We provide a conceptual approach to illustrate how management practices available in IWM affect different transitions and then discuss case studies to illustrate how weed management practices have been integrated. The chapter ends with an outlook for further improving IWM in grasslands, especially also under climate change, and for promoting its application.</p>", "keywords": ["seed bank", "thema EDItEUR::K Economics", " Finance", " Business and Management::KN Industry and industrial studies::KNA Agribusiness and primary industries::KNAL Forestry industry", "herbicides", "invasive non-native plant species (INNPs)", "thema EDItEUR::T Technology", " Engineering", " Agriculture", " Industrial processes::TV Agriculture and farming::TVP Pest control / plant diseases", "thema EDItEUR::T Technology", " Engineering", " Agriculture", " Industrial processes::TV Agriculture and farming::TVF Sustainable agriculture", "biological control", "sward", "thema EDItEUR::R Earth Sciences", " Geography", " Environment", " Planning::RG Geography::RGB Physical geography and topography::RGBC Plains and grasslands"], "contacts": [{"organization": "Schaffner, Urs, M\u00fcller-Sch\u00e4rer, Heinz, L\u00fcscher, Andreas,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.19103/as.2021.0098.15"}, {"rel": "self", "type": "application/geo+json", "title": "10.19103/as.2021.0098.15", "name": "item", "description": "10.19103/as.2021.0098.15", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.19103/as.2021.0098.15"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-26T00:00:00Z"}}, {"id": "10.20381/ruor-18782", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:19:35Z", "created": "2008-01-01", "description": "Numerous forest fires occurred during the summer of 2004 in the Klondike Goldfields region of the Yukon Territory, an area of extensive discontinuous permafrost. More than 35 shallow detachment failure landslides developed in subsequent weeks in Steele Creek, a small drainage basin located about 60 km south of Dawson City. Preliminary observations of the failures and near-surface thermal regime were made through freeze-up of 2004 and continued in the summers of 2005 and 2006. Detachment failures were mapped and individual sites were surveyed. Air and ground temperatures were measured in burned and unburned areas. In addition, two-dimensional DC resistivity transects were used to examine subsurface conditions in the area. Forest fire contributed to detachment failure activity on permafrost slopes by destroying the surface organic mat, causing burned surface temperatures to rise, thawing active layers by up to 20 cm (+31%) deeper than unburned slopes and weakening the surface root structures. Deeper thaw melted transient layer ground ice, raising soil porewater pressures. The thermal differences between burned and unburned sites were greater at the north-facing than south-facing sites, and active layer freezing and thawing processes varied according to both aspect and burned status. More southerly-facing and/or burned sites generally thawed earlier, refroze later and had warmer temperatures than more northerly and/or unburned sites. Thaw of burned areas with high ground surface temperatures can be expected to continue, depending on climatic conditions, until sufficient revegetation occurs to shade the surface and rebuild the insulating organic mat. The detachment failures occurred from a few weeks to two years after forest fire, and only on slopes where permafrost was extensive. They were not similar to others in the literature in that almost all occurred in coarse-gained soils and had failure planes elevated above the permafrost table. These landslides were flow-type failures that rafted portions of the organic mat on top of deforming, non-cohesive sediment. They occurred in areas of deeper thaw but their distribution and the resistivity data suggest that they were associated with supra-permafrost taliks which concentrated groundwater flow. In an unglaciated area like the Klondike region this landsliding process has likely occurred thousands of times during the Pleistocene and may be responsible for elements of the form of the region's slopes. Predicted increases in the frequency and magnitude of forest fire in the boreal forest due to warming climates may increase incidence of these types of failures.", "keywords": ["Ecology", "Physical Geography", "550", "13. Climate action", "Forestry and Wildlife", "Physical Geography.", "Agriculture", "15. Life on land", "Biology", " Ecology.", "Biology", "Agriculture", " Forestry and Wildlife."], "contacts": [{"organization": "Coates, James", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.20381/ruor-18782"}, {"rel": "self", "type": "application/geo+json", "title": "10.20381/ruor-18782", "name": "item", "description": "10.20381/ruor-18782", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.20381/ruor-18782"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2008-01-01T00:00:00Z"}}, {"id": "10.2136/vzj2015.09.0131", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:19:58Z", "type": "Journal Article", "created": "2016-05-13", "title": "Modeling Soil Processes: Review, Key Challenges, and New Perspectives", "description": "Core Ideas<p><p>A community effort is needed to move soil modeling forward.</p><p>Establishing an international soil modeling consortium is key in this respect.</p><p>There is a need to better integrate existing knowledge in soil models.</p><p>Integration of data and models is a key challenge in soil modeling.</p></p><p>The remarkable complexity of soil and its importance to a wide range of ecosystem services presents major challenges to the modeling of soil processes. Although major progress in soil models has occurred in the last decades, models of soil processes remain disjointed between disciplines or ecosystem services, with considerable uncertainty remaining in the quality of predictions and several challenges that remain yet to be addressed. First, there is a need to improve exchange of knowledge and experience among the different disciplines in soil science and to reach out to other Earth science communities. Second, the community needs to develop a new generation of soil models based on a systemic approach comprising relevant physical, chemical, and biological processes to address critical knowledge gaps in our understanding of soil processes and their interactions. Overcoming these challenges will facilitate exchanges between soil modeling and climate, plant, and social science modeling communities. It will allow us to contribute to preserve and improve our assessment of ecosystem services and advance our understanding of climate\uffe2\uff80\uff90change feedback mechanisms, among others, thereby facilitating and strengthening communication among scientific disciplines and society. We review the role of modeling soil processes in quantifying key soil processes that shape ecosystem services, with a focus on provisioning and regulating services. We then identify key challenges in modeling soil processes, including the systematic incorporation of heterogeneity and uncertainty, the integration of data and models, and strategies for effective integration of knowledge on physical, chemical, and biological soil processes. We discuss how the soil modeling community could best interface with modern modeling activities in other disciplines, such as climate, ecology, and plant research, and how to weave novel observation and measurement techniques into soil models. We propose the establishment of an international soil modeling consortium to coherently advance soil modeling activities and foster communication with other Earth science disciplines. Such a consortium should promote soil modeling platforms and data repository for model development, calibration and intercomparison essential for addressing contemporary challenges.</p", "keywords": ["organic-matter dynamics", "550", "QH301 Biology", "0208 environmental biotechnology", "SATURATED-UNSATURATED FLOW", "02 engineering and technology", "soil processes", "01 natural sciences", "Physical Geography and Environmental Geoscience", "Sciences de la Terre", "ARBUSCULAR MYCORRHIZAL FUNGI", "sciences du sol", "ANZSRC::3707 Hydrology", "SYNTHETIC-APERTURE RADAR", "ANZSRC::4106 Soil sciences", "SDG 13 - Climate Action", "2. Zero hunger", "GROUND-PENETRATING RADAR", "diffuse-reflectance spectroscopy", "ANZSRC::050399 Soil Sciences not elsewhere classified", "synthetic-aperture radar", "digital elevation model", "SDG 13 \u2013 Ma\u00dfnahmen zum Klimaschutz", "MULTIPLE ECOSYSTEM SERVICES", "knowledge integration", "Crop and Pasture Production", "101028 Mathematical modelling", "570", "DIFFUSE-REFLECTANCE SPECTROSCOPY", "Environmental Engineering", "international soil modeling consortium", "0207 environmental engineering", "Soil Science", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "arbuscular mycorrhizal fungi", "soil science", "ORGANIC-MATTER DYNAMICS", "QH301", "ANZSRC::0503 Soil Sciences", "Life Science", "SEDIMENT TRANSPORT MODELS", "data integration", "sediment transport models", "approche ecosyst\u00e9mique", "mod\u00e9lisation", "0105 earth and related environmental sciences", "ground-penetrating radar", "info:eu-repo/classification/ddc/550", "soil modeling", "ANZSRC::080110 Simulation and Modelling", "ROOT WATER-UPTAKE", "15. Life on land", "multiple ecosystem services", "root water-uptake", "13. Climate action", "Earth and Environmental Sciences", "Soil Sciences", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "Earth Sciences", "101028 Mathematische Modellierung", "saturated-unsaturated flow", "root water-uptake", " sediment transport models", " diffuse-reflectance spectroscopy", " arbuscular mycorrhizal fungi", " multiple ecosystem services", " saturated-unsaturated flow", " ground-penetrating radar", " synthetic-aperture radar", " digital elevation model", " organic-matter dynamics.", "DIGITAL ELEVATION MODEL"]}, "links": [{"href": "http://onlinelibrary.wiley.com/wol1/doi/10.2136/vzj2015.09.0131/fullpdf"}, {"href": "https://escholarship.org/content/qt6976n34c/qt6976n34c.pdf"}, {"href": "https://doi.org/10.2136/vzj2015.09.0131"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Vadose%20Zone%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2136/vzj2015.09.0131", "name": "item", "description": "10.2136/vzj2015.09.0131", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2136/vzj2015.09.0131"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-05-01T00:00:00Z"}}, {"id": "10.3390/rs11091138", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:32Z", "type": "Journal Article", "created": "2019-05-13", "title": "Advances in the Remote Sensing of Terrestrial Evaporation", "description": "<p>Characterizing the terrestrial carbon, water, and energy cycles depends strongly on a capacity to accurately reproduce the spatial and temporal dynamics of land surface evaporation. For this, and many other reasons, monitoring terrestrial evaporation across multiple space and time scales has been an area of focused research for a number of decades. Much of this activity has been supported by developments in satellite remote sensing, which have been leveraged to deliver new process insights, model development and methodological improvements. In this Special Issue, published contributions explored a range of research topics directed towards the enhanced estimation of terrestrial evaporation. Here we summarize these cutting-edge efforts and provide an overview of some of the state-of-the-art approaches for retrieving this key variable. Some perspectives on outstanding challenges, issues, and opportunities are also presented.</p>", "keywords": ["Atmospheric sciences", "CubeSats", "Life on Land", "Classical Physics", "Science", "0207 environmental engineering", "02 engineering and technology", "high-resolution", "01 natural sciences", "Physical Geography and Environmental Geoscience", "Article", "evaporation", "land surface modeling", "remote sensing", "Engineering", "novel sensing", "Physical geography and environmental geoscience", "0105 earth and related environmental sciences", "Earth observation", "Q", "Geomatic engineering", "15. Life on land", "Geomatic Engineering", "land surface flux", "13. Climate action", "cubesats"]}, "links": [{"href": "https://www.mdpi.com/2072-4292/11/9/1138/pdf"}, {"href": "https://escholarship.org/content/qt1sh5v7hp/qt1sh5v7hp.pdf"}, {"href": "https://doi.org/10.3390/rs11091138"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs11091138", "name": "item", "description": "10.3390/rs11091138", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs11091138"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-05-13T00:00:00Z"}}, {"id": "10.3390/rs13214195", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:34Z", "type": "Journal Article", "created": "2021-10-20", "title": "Sentinel-2 Recognition of Uncovered and Plastic Covered Agricultural Soil", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Medium resolution satellite data, such as Sentinel-2 of the Copernicus programme, offer great new opportunities for the agricultural sector, and provide insights on soil surface characteristics and their management. Soil monitoring requires a high-quality dataset of uncovered and plastic covered agricultural soil. We developed a methodology to identify uncovered soil pixels in agricultural parcels during seedbed preparation and considered the impacts of clouds and shadows, vegetation cover, and artificial covers, such as those of greenhouses and plastic mulch films. We preserved the spatial and temporal integrity of parcels in the process and analysed spectral anomalies and their sources. The approach is based on freely available tools, namely Google Earth Engine and R Programming packages. We tested the methodology on the northern region of Belgium, which is characterised by small, fragmented parcels. We selected a period between mid-April to end-May, when active agricultural management practices leave the soil bare in preparation for the main cropping season. The spectral angle mapper was used to identify soil covered by non-plastic greenhouses or temporary soil covers, such as plastic mulch films. The effect of underlying soil on temporary covers was considered. The retrogressive plastic greenhouse index was used for detecting plastic greenhouses. The result was a high quality dataset of potential bare uncovered agricultural soil that allows further soil surface characterisation. This offered an improved understanding of the use of artificial covers, their spatial distribution, and their corresponding crops during the considered period. Artificial covers occurred most frequently in maize parcels. The approach resulted in precision values exceeding 0.9 for the detection of temporary covers and non-plastic greenhouses and a sensitivity value exceeding 0.95 for non-plastic and plastic greenhouses.</p></article>", "keywords": ["Technology", "SURFACE", "Science", "Environmental Sciences & Ecology", "TEXTURE", "artificial cover", "ALMERIA", "0203 Classical Physics", "soil", "Remote Sensing", "SUPPORT", "0909 Geomatic Engineering", "Geosciences", " Multidisciplinary", "Imaging Science & Photographic Technology", "agriculture", "2. Zero hunger", "plastic mulch", "Science & Technology", "IDENTIFICATION", "soil; agriculture; Sentinel-2; artificial cover; plastic mulch", "Q", "Geology", "04 agricultural and veterinary sciences", "15. Life on land", "CLOUD", "REFLECTANCE", "RESOLUTION", "13. Climate action", "Physical Sciences", "0401 agriculture", " forestry", " and fisheries", "4013 Geomatic engineering", "Sentinel-2", "GREENHOUSE", "0406 Physical Geography and Environmental Geoscience", "Life Sciences & Biomedicine", "3701 Atmospheric sciences", "Environmental Sciences", "3709 Physical geography and environmental geoscience"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/21/4195/pdf"}, {"href": "https://www.mdpi.com/2072-4292/13/21/4195/pdf"}, {"href": "https://doi.org/10.3390/rs13214195"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs13214195", "name": "item", "description": "10.3390/rs13214195", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs13214195"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-10-20T00:00:00Z"}}, {"id": "10.3390/soilsystems3010021", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:36Z", "type": "Journal Article", "created": "2019-03-25", "title": "Abiotic and Biotic Factors Influencing the Effect of Microplastic on Soil Aggregation", "description": "<p>Plastic is an anthropogenic, ubiquitous and persistent contaminant accumulating in our environment. The consequences of the presence of plastics for soils, including soil biota and the processes they drive, are largely unknown. This is particularly true for microplastic. There is only little data available on the effect of microplastics on key soil processes, including soil aggregation. Here, we investigated the consequences of polyester microfiber contamination on soil aggregation of a sandy soil under laboratory conditions. We aimed to test if the microfiber effects on soil aggregation were predominantly physical or biological. We found that soil biota addition (compared to sterile soil) had a significant positive effect on both the formation and stabilization of soil aggregates, as expected, while wet-dry cycles solely affected aggregate formation. Polyester microfiber contamination did not affect the formation and stability of aggregates. But in the presence of soil biota, microfibers reduced soil aggregate stability. Our results show that polyester microfibers have the potential to alter soil structure, and that these effects are at least partially mediated by soil biota.</p>", "keywords": ["570", "wet-dry cycle", "Physical geography", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "GB3-5030", "soil aggregation", "Chemistry", "soil microbes", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "polyester", "microplastic", "QD1-999", "fiber", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2571-8789/3/1/21/pdf"}, {"href": "https://www.mdpi.com/2571-8789/3/1/21/pdf"}, {"href": "https://doi.org/10.3390/soilsystems3010021"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Systems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/soilsystems3010021", "name": "item", "description": "10.3390/soilsystems3010021", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/soilsystems3010021"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-03-22T00:00:00Z"}}, {"id": "10.3390/soilsystems3030045", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:36Z", "type": "Journal Article", "created": "2019-07-15", "title": "Sounds of Soil: A New World of Interactions under Our Feet?", "description": "<p>Soils are biodiversity-dense and constantly carry chemical flows of information, with our mental image of soil being dark and quiet. But what if soil biota tap sound, or more generally, vibrations as a source of information? Vibrations are produced by soil biota, and there is accumulating evidence that such vibrations, including sound, may also be perceived. We here argue for potential advantages of sound/vibration detection, which likely revolve around detection of potential danger, e.g., predators. Substantial methodological retooling will be necessary to capture this form of information, since sound-related equipment is not standard in soils labs, and in fact this topic is very much at the fringes of the classical soil research at present. Sound, if firmly established as a mode of information exchange in soil, could be useful in an \uffe2\uff80\uff98acoustics-based\uffe2\uff80\uff99 precision agriculture as a means of assessing aspects of soil biodiversity, and the topic of sound pollution could move into focus for soil biota and processes.</p>", "keywords": ["580", "disturbance", "0301 basic medicine", "2. Zero hunger", "570", "Physical geography", "0303 health sciences", "15. Life on land", "soil", "GB3-5030", "sound", "Chemistry", "03 medical and health sciences", "13. Climate action", "vibration", "QD1-999", "biodiversity"]}, "links": [{"href": "https://www.mdpi.com/2571-8789/3/3/45/pdf"}, {"href": "https://doi.org/10.3390/soilsystems3030045"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Systems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/soilsystems3030045", "name": "item", "description": "10.3390/soilsystems3030045", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/soilsystems3030045"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-14T00:00:00Z"}}, {"id": "10.3390/soilsystems7030078", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:36Z", "type": "Journal Article", "created": "2023-09-11", "title": "Research Evolution on the Impact of Agronomic Practices on Soil Health from 1996 to 2021: A Bibliometric Analysis", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>In the last two decades, there has been a significant shift in focus towards soil health by international institutions, organizations, and scholars. Recognizing the vital role of soil in sustaining agriculture, ecosystems, and mitigating climate change, there has been a concerted effort to study and understand soil health more comprehensively. In this study, a bibliometric analysis was performed in order to determine the research trend of the articles published in the Scopus database in the last 26 years on soil health experimental studies and agronomic practices conducted in field conditions on agricultural soils. It has been observed that, after 2013, there has been a significant increase in research articles on soil health, with the USA and India research institutions ranking as the most productive on this topic. There is an asymmetry in international cooperation among research institutions, as well as for scholars. In addition, the research topic is gradually shifting from the effects of soil management strategies, especially nutrient management, on soil organic carbon and yield to the study of the impact of soil management on biochemistry and microbiological soil activities and greenhouse gas emissions. Future research should focus into more integrated approaches to achieve soil indicators enabling to evaluate the impact of sustainable management practices (e.g., cropping practices) on soil health.</p></article>", "keywords": ["2. Zero hunger", "Physical geography", "agronomic practices", "soil health", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "12. Responsible consumption", "GB3-5030", "Chemistry", "bibliometric analysis", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "QD1-999", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Mohamed Houssemeddine Sellami, Fabio Terribile,", "roles": ["creator"]}]}, "links": [{"href": "https://www.mdpi.com/2571-8789/7/3/78/pdf"}, {"href": "https://doi.org/10.3390/soilsystems7030078"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Systems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/soilsystems7030078", "name": "item", "description": "10.3390/soilsystems7030078", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/soilsystems7030078"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-09-11T00:00:00Z"}}, {"id": "10.3390/soilsystems9010010", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:36Z", "type": "Journal Article", "created": "2025-01-27", "title": "Application of Self-Organizing Maps to Explore the Interactions of Microorganisms with Soil Properties in Fruit Crops Under Different Management and Pedo-Climatic Conditions", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Background: Self-organizing maps (SOMs) are a class of neural network algorithms able to visually describe a high-dimensional dataset onto a two-dimensional grid. SOMs were explored to classify soils based on an array of physical, chemical, and biological parameters. Methods: The SOM analysis was performed considering soil physical, chemical, and microbial data gathered from an array of apple orchards and strawberry plantations managed by organic or conventional methods and located in different European climatic zones. Results: The SOM analysis considering the \u201cclimatic zone\u201d categorical variables was able to discriminate the samples from the three zones for both crops. The zones were associated with different soil textures and chemical characteristics, and for both crops, the Continental zone was associated with microbial parameters\u2014including biodiversity indices derived from the NGS data analysis. However, the SOM analysis based on the \u201cmanagement method\u201d categorical variables was not able to discriminate the soils between organic and integrated management. Conclusions: This study allowed for the discrimination of soils of medium- and long-term fruit crops based on their pedo-climatic characteristics and associating these characteristics to some indicators of the soil biome, pointing to the possibility of better understanding the interactions among diverse variables, which could support unraveling the intricate web of relationships that define soil quality.</p></article>", "keywords": ["Physical geography", "Chemistry", "soil microbiome diversity", "apple", "strawberry", "neural networks", "QD1-999", "GB3-5030"]}, "links": [{"href": "https://www.mdpi.com/2571-8789/9/1/10/pdf"}, {"href": "https://doi.org/10.3390/soilsystems9010010"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Systems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/soilsystems9010010", "name": "item", "description": "10.3390/soilsystems9010010", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/soilsystems9010010"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-01-26T00:00:00Z"}}, {"id": "10.3390/soilsystems3020039", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:36Z", "type": "Journal Article", "created": "2019-06-12", "title": "Mapping Soil Biodiversity in Europe and the Netherlands", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Soil is fundamental for the functioning of terrestrial ecosystems, but our knowledge about soil organisms and the habitat they provide (shortly: Soil biodiversity) is poorly developed. For instance, the European Atlas of Soil Biodiversity and the Global Soil Biodiversity Atlas contain maps with rather coarse information on soil biodiversity. This paper presents a methodology to map soil biodiversity with limited data and models. Two issues were addressed. First, the lack of consensus to quantify the soil biodiversity function and second, the limited data to represent large areas. For the later issue, we applied a digital soil mapping (DSM) approach at the scale of the Netherlands and Europe. Data of five groups of soil organisms (earthworms, enchytraeids, micro-arthropods, nematodes, and micro-organisms) in the Netherlands were linked to soil habitat predictors (chemical soil attributes) in a regression analysis. High-resolution maps with soil characteristics were then used together with a model for the soil biodiversity function with equal weights for each group of organisms. To predict soil biodiversity at the scale of Europe, data for soil biological (earthworms and bacteria) and chemical (pH, soil organic matter, and nutrient content) attributes were used in a soil biodiversity model. Differential weights were assigned to the soil attributes after consulting a group of scientists. The issue of reducing uncertainty in soil biodiversity modelling and mapping by the use of data from biological soil attributes is discussed. Considering the importance of soil biodiversity to support the delivery of ecosystem services, the ability to create maps illustrating an aggregate measure of soil biodiversity is a key to future environmental policymaking, optimizing land use, and land management decision support taking into account the loss and gains on soil biodiversity.</p></article>", "keywords": ["2. Zero hunger", "Physical geography", "Soil multi-functionality", "soil biodiversity", "04 agricultural and veterinary sciences", "soil functions", "15. Life on land", "Soil functions", "Soil biodiversity", "GB3-5030", "Chemistry", "Digital soil mapping", "13. Climate action", "soil multi-functionality", "digital soil mapping", "Ecosystem services", "0401 agriculture", " forestry", " and fisheries", "ecosystem services", "Biology", "QD1-999"]}, "links": [{"href": "http://www.mdpi.com/2571-8789/3/2/39/pdf"}, {"href": "https://www.mdpi.com/2571-8789/3/2/39/pdf"}, {"href": "https://doi.org/10.3390/soilsystems3020039"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Systems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/soilsystems3020039", "name": "item", "description": "10.3390/soilsystems3020039", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/soilsystems3020039"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-06-12T00:00:00Z"}}, {"id": "10.5194/bg-16-785-2019", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:21:07Z", "type": "Journal Article", "created": "2019-02-12", "title": "Automatic high-frequency measurements of full soil greenhouse gas fluxes in a tropical forest", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Measuring in situ soil fluxes of carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) continuously at high frequency requires appropriate technology. We tested the combination of a commercial automated soil CO2 flux chamber system (LI-8100A) with a CH4 and N2O analyzer (Picarro G2308) in a tropical rainforest for 4\u00a0months. A chamber closure time of 2\u2009min was sufficient for a reliable estimation of CO2 and CH4 fluxes (100\u2009% and 98.5\u2009% of fluxes were above minimum detectable flux \u2013 MDF, respectively). This closure time was generally not suitable for a reliable estimation of the low N2O fluxes in this ecosystem but was sufficient for detecting rare major peak events. A closure time of 25\u2009min was more appropriate for reliable estimation of most N2O fluxes (85.6\u2009% of measured fluxes are above MDF\u2009\u00b1\u20090.002\u2009nmol\u2009m\u22122\u2009s\u22121). Our study highlights the importance of adjusted closure time for each gas.                     </p></article>", "keywords": ["rain-forest", "nitrous-oxide", "Environmental management", "550", "[SDV]Life Sciences [q-bio]", "spatial variation", "01 natural sciences", "630", "land-use change", "Life", "QH501-531", "Meteorology & Atmospheric Sciences", "biogeochemical controls", "Physical geography and environmental geoscience", "Biology", "QH540-549.5", "0105 earth and related environmental sciences", "QE1-996.5", "Ecology", "Physics", "n2o", "emissions", "land-use change ; nitrous-oxide ; rain-forest ;biogeochemical controls ; chamber measurements ; spatial variation ; co2 ;emissions; n2o ; respiration", "Geology", "04 agricultural and veterinary sciences", "Biological Sciences", "15. Life on land", "Climate Action", "[SDV] Life Sciences [q-bio]", "Chemistry", "13. Climate action", "Earth Sciences", "co2", "0401 agriculture", " forestry", " and fisheries", "chamber measurements", "Climate Change Impacts and Adaptation", "Environmental Sciences", "respiration"]}, "links": [{"href": "https://bg.copernicus.org/articles/16/785/2019/bg-16-785-2019.pdf"}, {"href": "https://escholarship.org/content/qt73p9116t/qt73p9116t.pdf"}, {"href": "https://doi.org/10.5194/bg-16-785-2019"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-16-785-2019", "name": "item", "description": "10.5194/bg-16-785-2019", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-16-785-2019"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-08-15T00:00:00Z"}}, {"id": "10.5194/bg-19-4387-2022", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:21:08Z", "type": "Journal Article", "created": "2022-02-07", "title": "Consistent responses of vegetation gas exchange to elevated atmospheric CO                   2                   emerge from heuristic and optimization models", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Elevated atmospheric CO2 concentration is expected to increase leaf CO2 assimilation rates, thus promoting plant growth and increasing leaf area. It also decreases stomatal conductance, allowing water savings that have been hypothesized to drive large-scale greening, in particular in arid and semiarid climates. However, the increase in leaf area could reduce the ameliorating effect of elevated CO2 concentration on soil water depletion. The net effect of elevated CO2 on leaf- and canopy-level gas exchange thus remains unclear. To address this question, a heuristic model based on the Partitioning of Equilibrium Transpiration and Assimilation (PETA) hypothesis and a model based on stomatal optimization theory are used and their outcomes compared. Predicted relative changes in leaf- and canopy-level gas exchange rates are used as a metric of responses to changes in atmospheric CO2 concentration. Both models predict reductions of leaf-level transpiration rate due to decreased stomatal conductance under elevated CO2, but negligible (PETA) or no (optimization) changes in canopy-level transpiration due to the compensatory effect of increased leaf area. Leaf- and canopy-level CO2 assimilation are predicted to increase, with an amplification of the CO2 fertilization effect at the canopy-level due to the enhanced leaf area. The expected increase in vapor pressure deficit (VPD) under warmer conditions is predicted to decrease the sensitivity of gas exchange to atmospheric CO2 concentration in both models except at growth temperatures lower than the photosynthetic thermal optimum. The consistent predictions by different models that canopy-level transpiration varies little under elevated CO2 due to combined stomatal conductance reduction and leaf area increase highlights the coordination of physiological and morphological characteristics in vegetation to maximize resource use (here water) under altered atmospheric conditions.</p></article>", "keywords": ["580", "2. Zero hunger", "0106 biological sciences", "QE1-996.5", "Ecology", "Geology", "15. Life on land", "01 natural sciences", "6. Clean water", "Geovetenskap och relaterad milj\u00f6vetenskap", "Physical Geography", "Life", "13. Climate action", "QH501-531", "Earth and Related Environmental Sciences", "QH540-549.5", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://pub.epsilon.slu.se/28959/1/manzoni-s-et-al-20220926.pdf"}, {"href": "https://bg.copernicus.org/articles/19/4387/2022/bg-19-4387-2022.pdf"}, {"href": "https://doi.org/10.5194/bg-19-4387-2022"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-19-4387-2022", "name": "item", "description": "10.5194/bg-19-4387-2022", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-19-4387-2022"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-02-07T00:00:00Z"}}, {"id": "10.5194/bg-2022-36", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:21:09Z", "type": "Journal Article", "created": "2022-02-07", "title": "Consistent responses of vegetation gas exchange to elevated atmospheric CO2 emerge from heuristic and optimization models", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Elevated atmospheric CO2 concentration is expected to increase leaf CO2 assimilation rates, thus promoting plant growth and increasing leaf area. It also decreases stomatal conductance, allowing water savings that have been hypothesized to drive large-scale greening, in particular in arid and semiarid climates. However, the increase in leaf area could reduce the ameliorating effect of elevated CO2 concentration on soil water depletion. The net effect of elevated CO2 on leaf- and canopy-level gas exchange thus remains unclear. To address this question, a heuristic model based on the Partitioning of Equilibrium Transpiration and Assimilation (PETA) hypothesis and a model based on stomatal optimization theory are used and their outcomes compared. Predicted relative changes in leaf- and canopy-level gas exchange rates are used as a metric of responses to changes in atmospheric CO2 concentration. Both models predict reductions of leaf-level transpiration rate due to decreased stomatal conductance under elevated CO2, but negligible (PETA) or no (optimization) changes in canopy-level transpiration due to the compensatory effect of increased leaf area. Leaf- and canopy-level CO2 assimilation are predicted to increase, with an amplification of the CO2 fertilization effect at the canopy-level due to the enhanced leaf area. The expected increase in vapor pressure deficit (VPD) under warmer conditions is predicted to decrease the sensitivity of gas exchange to atmospheric CO2 concentration in both models except at growth temperatures lower than the photosynthetic thermal optimum. The consistent predictions by different models that canopy-level transpiration varies little under elevated CO2 due to combined stomatal conductance reduction and leaf area increase highlights the coordination of physiological and morphological characteristics in vegetation to maximize resource use (here water) under altered atmospheric conditions.                         </p></article>", "keywords": ["580", "2. Zero hunger", "0106 biological sciences", "QE1-996.5", "Ecology", "Geology", "15. Life on land", "01 natural sciences", "6. Clean water", "Geovetenskap och relaterad milj\u00f6vetenskap", "Physical Geography", "Life", "13. Climate action", "QH501-531", "Earth and Related Environmental Sciences", "QH540-549.5", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://pub.epsilon.slu.se/28959/1/manzoni-s-et-al-20220926.pdf"}, {"href": "https://bg.copernicus.org/articles/19/4387/2022/bg-19-4387-2022.pdf"}, {"href": "https://doi.org/10.5194/bg-2022-36"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-2022-36", "name": "item", "description": "10.5194/bg-2022-36", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-2022-36"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-02-07T00:00:00Z"}}, {"id": "10.5194/egusphere-2022-535", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:21:11Z", "type": "Journal Article", "created": "2022-03-27", "title": "Potential of natural language processing for metadata extraction from environmental scientific publications", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>&amp;lt;p&amp;gt;Adapting agricultural management practices to changing climate is not straightforward. Effects of agricultural management practices (tillage, cover crops, amendment, &amp;amp;#8230;) on soil variables (hydraulic conductivity, aggregate stability, &amp;amp;#8230;) often vary according to pedo-climatic conditions. Hence, it is important to take these conditions into account in quantitative evidence synthesis. Extracting structured information from scientific publications to build large databases with experimental data from various conditions is an effective way to do this. This database can then serve to explain, and possibly also to predict, the effect of management practices in different pedo-climatic contexts.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;However, manually building such a database by going through all publications is tedious. And given the increasing amount of literature, this task is likely to require more and more effort in the future. Natural language processing facilitates this task.&amp;amp;#160; In this work, we built a database of near-saturated hydraulic conductivity from tension-disk infiltrometer measurements from scientific publications. We used tailored regular expressions and dictionaries to extract coordinates, soil texture, soil type, rainfall, disk diameter and tensions applied. The overal results have an F1-score ranging from 0.72 to 0.91.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;In addition, we extracted relationships between a set of driver keywords (e.g. &amp;amp;#8216;biochar&amp;amp;#8217;, &amp;amp;#8216;zero tillage&amp;amp;#8217;, &amp;amp;#8230;) and variables (e.g. &amp;amp;#8216;soil aggregate&amp;amp;#8217;, &amp;amp;#8216;hydraulic conductivity&amp;amp;#8217;, &amp;amp;#8230;) from publication abstracts based on the shortest dependency path between them. The relationships were further classified according to positive, negative or absent correlations between the driver and variable. This technique quickly provides an overview of the different driver-variable relationships and their abundance for an entire body of literature. For instance, we were able to recover the positive correlation between biochar and yield, as well as its negative correlation with bulk density.&amp;lt;/p&amp;gt;</p></article>", "keywords": ["2. Zero hunger", "QE1-996.5", "Science & Technology", "Soil Science", "Agriculture", "Geology", "02 engineering and technology", "15. Life on land", "420", "6. Clean water", "4106 Soil sciences", "SOIL", "Environmental sciences", "13. Climate action", "0202 electrical engineering", " electronic engineering", " information engineering", "GE1-350", "Life Sciences & Biomedicine", "3709 Physical geography and environmental geoscience"]}, "links": [{"href": "https://pub.epsilon.slu.se/30670/1/blanchy-g-et-al-20230413.pdf"}, {"href": "https://soil.copernicus.org/articles/9/155/2023/soil-9-155-2023.pdf"}, {"href": "https://doi.org/10.5194/egusphere-2022-535"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/SOIL", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/egusphere-2022-535", "name": "item", "description": "10.5194/egusphere-2022-535", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/egusphere-2022-535"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-03-27T00:00:00Z"}}, {"id": "10.5194/essd-9-697-2017", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:21:16Z", "type": "Journal Article", "created": "2017-09-12", "description": "<p>Abstract. Climate, land use, and other anthropogenic and natural drivers have the potential to influence fire dynamics in many regions. To develop a mechanistic understanding of the changing role of these drivers and their impact on atmospheric composition, long-term fire records are needed that fuse information from different satellite and in situ data streams. Here we describe the fourth version of the Global Fire Emissions Database (GFED) and quantify global fire emissions patterns during 1997\uffe2\uff80\uff932016. The modeling system, based on the Carnegie\uffe2\uff80\uff93Ames\uffe2\uff80\uff93Stanford Approach (CASA) biogeochemical model, has several modifications from the previous version and uses higher quality input datasets. Significant upgrades include (1)\uffc2\uffa0new burned area estimates with contributions from small fires, (2)\uffc2\uffa0a revised fuel consumption parameterization optimized using field observations, (3)\uffc2\uffa0modifications that improve the representation of fuel consumption in frequently burning landscapes, and (4)\uffc2\uffa0fire severity estimates that better represent continental differences in burning processes across boreal regions of North America and Eurasia. The new version has a higher spatial resolution (0.25\uffc2\uffb0) and uses a different set of emission factors that separately resolves trace gas and aerosol emissions from temperate and boreal forest ecosystems. Global mean carbon emissions using the burned area dataset with small fires (GFED4s) were 2.2\uffe2\uff80\uffaf\uffe2\uff80\uff89\uffc3\uff97\uffe2\uff80\uff89\uffe2\uff80\uffaf1015\uffc2\uffa0grams of carbon per year (Pg\uffe2\uff80\uffafC\uffe2\uff80\uffafyr\uffe2\uff88\uff921) during 1997\uffe2\uff80\uff932016, with a maximum in 1997 (3.0\uffe2\uff80\uffafPg\uffe2\uff80\uffafC\uffe2\uff80\uffafyr\uffe2\uff88\uff921) and minimum in 2013 (1.8\uffe2\uff80\uffafPg\uffe2\uff80\uffafC\uffe2\uff80\uffafyr\uffe2\uff88\uff921). These estimates were 11\uffe2\uff80\uffaf% higher than our previous estimates (GFED3) during 1997\uffe2\uff80\uff932011, when the two datasets overlapped. This net increase was the result of a substantial increase in burned area (37\uffe2\uff80\uffaf%), mostly due to the inclusion of small fires, and a modest decrease in mean fuel consumption (\uffe2\uff88\uff9219\uffe2\uff80\uffaf%) to better match estimates from field studies, primarily in savannas and grasslands. For trace gas and aerosol emissions, differences between GFED4s and GFED3 were often larger due to the use of revised emission factors. If small fire burned area was excluded (GFED4 without the s for small fires), average emissions were 1.5\uffe2\uff80\uffafPg\uffe2\uff80\uffafC\uffe2\uff80\uffafyr\uffe2\uff88\uff921. The addition of small fires had the largest impact on emissions in temperate North America, Central America, Europe, and temperate Asia. This small fire layer carries substantial uncertainties; improving these estimates will require use of new burned area products derived from high-resolution satellite imagery. Our revised dataset provides an internally consistent set of burned area and emissions that may contribute to a better understanding of multi-decadal changes in fire dynamics and their impact on the Earth system. GFED data are available from http://www.globalfiredata.org.                     </p>", "keywords": ["Atmospheric sciences", "QE1-996.5", "Life on Land", "Geology", "15. Life on land", "01 natural sciences", "7. Clean energy", "Physical Geography and Environmental Geoscience", "Atmospheric Sciences", "Climate Action", "Environmental sciences", "Geochemistry", "13. Climate action", "Geoinformatics", "8. Economic growth", "11. Sustainability", "Earth Sciences", "GE1-350", "Physical geography and environmental geoscience", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://escholarship.org/content/qt2pm0d581/qt2pm0d581.pdf"}, {"href": "https://doi.org/10.5194/essd-9-697-2017"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Earth%20System%20Science%20Data", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/essd-9-697-2017", "name": "item", "description": "10.5194/essd-9-697-2017", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/essd-9-697-2017"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-09-12T00:00:00Z"}}, {"id": "10.5194/tc-12-3293-2018", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:21:21Z", "type": "Journal Article", "created": "2018-03-09", "title": "Carbonaceous material export from Siberian permafrost tracked across the Arctic Shelf using Raman spectroscopy", "description": "<p>Abstract. Warming-induced erosion of permafrost from Eastern Siberia mobilises large amounts of organic carbon and delivers it to the East Siberian Arctic Shelf (ESAS). In this study Raman spectroscopy of Carbonaceous Material (CM) was used to characterise, identify and track the most recalcitrant fraction of the organic load. 1463 spectra were obtained from surface sediments collected across the ESAS and automatically analysed for their Raman peaks. Spectra were classified by their peak areas and widths into Disordered, Intermediate, Mildly Graphitised and Highly Graphitised groups, and the distribution of these classes was investigated across the shelf. Disordered CM was most prevalent in a permafrost core from Kurungnakh Island, and from areas known to have high rates of coastal erosion. Sediments from outflows of the Indigirka and Kolyma rivers were generally enriched in Intermediate CM. These different sediment sources were identified and distinguished along an E-W transect using their Raman spectra, showing that sediment is not homogenised on the ESAS. Distal samples, from the ESAS slope, contained greater amounts of Highly Graphitised CM compared to the rest of the shelf, attributable to degradation or, more likely, winnowing processes offshore. The presence of all four spectral classes in distal sediments demonstrates that CM degrades much slower than lipid biomarkers and other traditional tracers of terrestrial organic matter, and shows that alongside degradation of the more labile organic matter component there is also conservative transport of carbon across the shelf toward the deep ocean. Thus, carbon cycle calculations must consider the nature as well as the amount of carbon liberated from thawing permafrost and other erosional settings.                         </p>", "keywords": ["Ocean", "River", "QE1-996.5", "550", "500", "Terrigenous Organic-Matter", "Geology", "Terrestrial", "Old Carbon", "01 natural sciences", "Sediments", "Environmental sciences", "Degradation", "13. Climate action", "Laptev Sea", "Meteorology & Atmospheric Sciences", "Graphite", "GE1-350", "0405 Oceanography", "14. Life underwater", "Black Carbon", "0406 Physical Geography And Environmental Geoscience", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://tc.copernicus.org/articles/12/3293/2018/tc-12-3293-2018.pdf"}, {"href": "https://doi.org/10.5194/tc-12-3293-2018"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20Cryosphere", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/tc-12-3293-2018", "name": "item", "description": "10.5194/tc-12-3293-2018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/tc-12-3293-2018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-03-09T00:00:00Z"}}, {"id": "10.5194/soil-6-95-2020", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:21:21Z", "type": "Journal Article", "created": "2020-03-06", "title": "Time-lapse monitoring of root water uptake using electrical resistivity tomography and mise-\u00e0-la-masse: a vineyard infiltration experiment", "description": "<p>Abstract. This paper presents a time-lapse application of electrical methods (electrical resistivity tomography, ERT; and mise-\uffc3\uffa0-la-masse, MALM) for monitoring plant roots and their activity (root water uptake) during a controlled infiltration experiment. The use of non-invasive geophysical monitoring is of increasing interest as these techniques provide time-lapse imaging of processes that otherwise can only be measured at few specific spatial locations. The experiment here described was conducted in a vineyard in Bordeaux (France) and was focused on the behaviour of two neighbouring grapevines. The joint application of ERT and MALM has several advantages. While ERT in time-lapse mode is sensitive to changes in soil electrical resistivity and thus to the factors controlling it (mainly soil water content, in this context), MALM uses DC current injected into a tree stem to image where the plant root system is in effective electrical contact with the soil at locations that are likely to be the same where root water uptake (RWU) takes place. Thus, ERT and MALM provide complementary information about the root structure and activity. The experiment shows that the region of likely electrical current sources produced by MALM does not change significantly during the infiltration time in spite of the strong changes of electrical resistivity caused by changes in soil water content. Ultimately, the interpretation of the current source distribution strengthened the hypothesis of using current as a proxy for root detection. This fact, together with the evidence that current injection in the soil and in the stem produces totally different voltage patterns, corroborates the idea that this application of MALM highlights the active root density in the soil. When considering the electrical resistivity changes (as measured by ERT) inside the stationary volume of active roots delineated by MALM, the overall tendency is towards a resistivity increase during irrigation time, which can be linked to a decrease in soil water content caused by root water uptake. On the contrary, when considering the soil volume outside the MALM-derived root water uptake region, the electrical resistivity tends to decrease as an effect of soil water content increase caused by the infiltration. The use of a simplified infiltration model confirms at least qualitatively this behaviour. The monitoring results are particularly promising, and the method can be applied to a variety of scales including the laboratory scale where direct evidence of root structure and root water uptake can help corroborate the approach. Once fully validated, the joint use of MALM and ERT can be used as a valuable tool to study the activity of roots under a wide variety of field conditions.                     </p>", "keywords": ["2. Zero hunger", "QE1-996.5", "0207 environmental engineering", "Geology", "02 engineering and technology", "15. Life on land", "01 natural sciences", "Environmental sciences", "Soil sciences", "Soil Sciences", "Earth Sciences", "GE1-350", "Physical geography and environmental geoscience", "Environmental Sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.research.unipd.it/bitstream/11577/3332035/2/unpaywall-bitstream-1077841967.pdf"}, {"href": "https://soil.copernicus.org/articles/6/95/2020/soil-6-95-2020.pdf"}, {"href": "https://doi.org/10.5194/soil-6-95-2020"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/SOIL", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/soil-6-95-2020", "name": "item", "description": "10.5194/soil-6-95-2020", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/soil-6-95-2020"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-05-22T00:00:00Z"}}, {"id": "10.5194/soil-9-1-2023", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:21:21Z", "type": "Journal Article", "created": "2023-01-04", "title": "Soil and crop management practices and the water regulation functions of soils: a qualitative synthesis of meta-analyses relevant to European agriculture", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Adopting soil and crop management practices that conserve or enhance soil structure is critical for supporting the sustainable adaptation of agriculture to climate change, as it should help maintain agricultural production in the face of increasing drought or water excess without impairing environmental quality. In this paper, we evaluate the evidence for this assertion by synthesizing the results of 34 published meta-analyses of the effects of such practices on soil physical and hydraulic properties relevant for climate change adaptation in European agriculture. We also review an additional 127 meta-analyses that investigated synergies and trade-offs or help to explain the effects of soil and crop management in terms of the underlying processes and mechanisms. Finally, we identify how responses to alternative soil\u2013crop management systems vary under contrasting agro-environmental conditions across Europe. This information may help practitioners and policymakers to draw context-specific conclusions concerning the efficacy of management practices as climate adaptation tools. Our synthesis demonstrates that organic soil amendments and the adoption of practices that maintain \u201ccontinuous living cover\u201d result in significant benefits for the water regulation function of soils, mostly arising from the additional carbon inputs to soil and the stimulation of biological processes. These effects are clearly related to improved soil aggregation and enhanced bio-porosity, both of which reduce surface runoff and increase infiltration. One potentially negative consequence of these systems is a reduction in soil water storage and groundwater recharge, which may be problematic in dry climates. Some important synergies are reductions in nitrate leaching to groundwater and greenhouse gas emissions for nonleguminous cover crop systems. The benefits of reducing tillage intensity appear much less clear-cut. Increases in soil bulk density due to traffic compaction are commonly reported. However, biological activity is enhanced under reduced tillage intensity, which should improve soil structure and infiltration capacity and reduce surface runoff and the losses of agro-chemicals to surface water. However, the evidence for these beneficial effects is inconclusive, while significant trade-offs include yield penalties and increases in greenhouse gas emissions and the risks of leaching of pesticides and nitrate. Our synthesis also highlights important knowledge gaps on the effects of management practices on root growth and transpiration. Thus, conclusions related to the impacts of management on the crop water supply and other water regulation functions are necessarily based on inferences derived from proxy variables. Based on these knowledge gaps, we outlined several key avenues for future research on this topic.                     </p></article>", "keywords": ["550", "Soil Science", "N2O EMISSIONS", "ECOSYSTEM SERVICES", "COVER CROPS", "12. Responsible consumption", "SYSTEMS", "11. Sustainability", "TILLAGE MANAGEMENT", "GE1-350", "2. Zero hunger", "QE1-996.5", "Science & Technology", "LOAM SOIL", "BIOCHAR", "MICROBIAL BIOMASS", "Agriculture", "CLIMATE-CHANGE MITIGATION", "Geology", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water", "4106 Soil sciences", "Environmental sciences", "ORGANIC-MATTER", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Life Sciences & Biomedicine", "3709 Physical geography and environmental geoscience"]}, "links": [{"href": "https://soil.copernicus.org/articles/9/1/2023/soil-9-1-2023.pdf"}, {"href": "https://pub.epsilon.slu.se/30089/1/blanchy-g-et-al-20230111.pdf"}, {"href": "https://doi.org/10.5194/soil-9-1-2023"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/SOIL", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/soil-9-1-2023", "name": "item", "description": "10.5194/soil-9-1-2023", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/soil-9-1-2023"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-04T00:00:00Z"}}, {"id": "11588/856948", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:11Z", "type": "Journal Article", "created": "2021-09-02", "title": "Evaluation of pedotransfer functions for predicting soil hydraulic properties: A voyage from regional to field scales across Europe", "description": "Study region: Europe. A total of 660, 522, and 4940 soil samples belonging to GRIZZLY, HYPRES, and EU-HYDI databases, respectively, were used for parametric evaluation. Study focus: The soil water retention and hydraulic conductivity functions are crucial input information for land surface models. Determining these functions by using direct methods is hampered by excessive time and unaffordable costs required for field activities and laboratory analyses. Pedotransfer functions (PTFs) are widely-used indirect techniques enabling soil hydraulic properties to be predicted by using easily-retrievable soil information. In a parametric evaluation, the predictive capability of PTFs is examined by comparing measured and estimated soil water retention parameters and saturated hydraulic conductivity. Yet information about the performance of PTFs for specific modeling applications is mandatory to evaluate PTF effectiveness in greater depth. This approach is commonly defined as functional evaluation. New hydrological insights for the region: The best performing four PTFs selected in the parametric evaluations are tested under two functional evaluations. The first encompasses a spatial interpolation with a geostatistical technique, whereas the second employs Hydrus-1D to simulate the water balance components along an experimental transect. Our results reinforce and integrate the insights of previous studies about the use of a PTF, and highlight the ability, or inability, of this technique to adequately reproduce the observed spatial variability of soil hydraulic properties and simulated water fluxes.", "keywords": ["S1 Agriculture (General) / mez\u0151gazdas\u00e1g \u00e1ltal\u00e1ban", "Physical geography", "QE1-996.5", "Water retention function", "Hydrus-1D", "saturated hydraulic conductivity", "0208 environmental biotechnology", "0207 environmental engineering", "Geology", "02 engineering and technology", "15. Life on land", "Semi-variogram", "S590 Soill / Talajtan", "Saturated hydraulic conductivity", "6. Clean water", "GB3-5030", "Kriging", "semi-variogram", "functional evaluation", "water retention function", "Functional evaluation", "kriging", "water retention function", " saturated hydraulic conductivity", " semi-variogram", " kriging", " functional evaluation", " Hydrus-1D"]}, "links": [{"href": "https://doi.org/11588/856948"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Hydrology%3A%20Regional%20Studies", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11588/856948", "name": "item", "description": "11588/856948", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11588/856948"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-10-01T00:00:00Z"}}, {"id": "10261/277923", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:23:48Z", "type": "Journal Article", "created": "2022-07-18", "title": "Net irrigation requirement under different climate scenarios using AquaCrop over Europe", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Global soil water availability is challenged by the effects of climate change and a growing population. On average, 70\u2009% of freshwater extraction is attributed to agriculture, and the demand is increasing. In this study, the effects of climate change on the evolution of the irrigation water requirement to sustain current crop productivity are assessed by using the Food and Agriculture Organization (FAO) crop growth model AquaCrop version 6.1. The model is run at 0.5\u2218lat\u00d70.5\u2218long resolution over the European mainland, assuming a general C3-type of crop, and forced by climate input data from the Inter-Sectoral Impact Model Intercomparison Project phase three (ISIMIP3). First, the AquaCrop surface soil moisture (SSM) forced with two types of ISIMIP3 historical meteorological datasets is evaluated with satellite-based SSM estimates in two ways. When driven by ISIMIP3a reanalysis meteorology, daily simulated SSM values have an unbiased root mean square difference of 0.08 and 0.06\u2009m3\u2009m\u22123, with SSM retrievals from the Soil Moisture Ocean Salinity (SMOS) and Soil Moisture Active Passive (SMAP) missions, respectively, for the years 2015\u20132016 (2016 is the end year of the reanalysis data). When forced with ISIMIP3b meteorology from five global climate models (GCMs) for the years 2015\u20132020, the historical simulated SSM climatology closely agrees with the satellite-based SSM climatologies. Second, the evaluated AquaCrop model is run to quantify the future irrigation requirement, for an ensemble of five GCMs and three different emission scenarios. The simulated net irrigation requirement (Inet) of the three summer months for a near and far future climate period (2031\u20132060 and 2071\u20132100) is compared to the baseline period of 1985\u20132014 to assess changes in the mean and interannual variability of the irrigation demand. Averaged over the continent and the model ensemble, the far future Inet is expected to increase by 22\u2009mm per month (+30\u2009%) under a high-emission scenario Shared Socioeconomic Pathway (SSP) 3\u20137.0. Central and southern Europe are the most impacted, with larger Inet increases. The interannual variability in Inet is likely to increase in northern and central Europe, whereas the variability is expected to decrease in southern regions. Under a high mitigation scenario (SSP1\u20132.6), the increase in Inet will stabilize at around 13\u2009mm per month towards the end of the century, and interannual variability will still increase but to a smaller extent. The results emphasize a large uncertainty in the Inet projected by various GCMs.</p></article>", "keywords": ["IMPACTS", "LAND", "Technology", "Environmental Engineering", "AGRICULTURE", "DEFICIT IRRIGATION", "SIMULATE YIELD RESPONSE", "0207 environmental engineering", "UNCERTAINTY", "02 engineering and technology", "CROP WATER PRODUCTIVITY", "Environmental technology. Sanitary engineering", "01 natural sciences", "0905 Civil Engineering", "G", "DATA ASSIMILATION", "Geography. Anthropology. Recreation", "GE1-350", "Geosciences", " Multidisciplinary", "TD1-1066", "0105 earth and related environmental sciences", "2. Zero hunger", "Science & Technology", "3707 Hydrology", "T", "Geology", "15. Life on land", "TRENDS", "6. Clean water", "MODEL", "Environmental sciences", "0907 Environmental Engineering", "13. Climate action", "Physical Sciences", "Water Resources", "4013 Geomatic engineering", "0406 Physical Geography and Environmental Geoscience", "3709 Physical geography and environmental geoscience"]}, "links": [{"href": "https://biblio.vub.ac.be/vubirfiles/86261359/Busschaert_etal_2022_HESS.pdf"}, {"href": "https://hess.copernicus.org/articles/26/3731/2022/hess-26-3731-2022.pdf"}, {"href": "https://doi.org/10261/277923"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/277923", "name": "item", "description": "10261/277923", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/277923"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-12T00:00:00Z"}}, {"id": "1854/LU-8751352", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:18Z", "type": "Journal Article", "created": "2022-03-29", "title": "Mapping Soil Properties with Fixed Rank Kriging of Proximally Sensed Soil Data Fused with Sentinel-2 Biophysical Parameter", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Soil surveys with line-scanning platforms appear to have great advantages over the traditional methods used to collect soil information for the development of field-scale soil mapping and applications. These carry VNIR (visible and near infrared) spectrometers and have been used in recent years extensively for the assessment of soil fertility at the field scale, and the delineation of site-specific management zones (MZ). A challenging feature of VNIR applications in precision agriculture (PA) is the massiveness of the derived datasets that contain point predictions of soil properties, and the interpolation techniques involved in incorporating these data into site-specific management plans. In this study, fixed-rank kriging (FRK) geostatistical interpolation, which is a flexible, non-stationary spatial interpolation method especially suited to handling huge datasets, was applied to massive VNIR soil scanner data for the production of useful, smooth interpolated maps, appropriate for the delineation of site-specific MZ maps. Moreover, auxiliary Sentinel-2 data-based biophysical parameters NDVI (normalized difference vegetation index) and fAPAR (fraction of photosynthetically active radiation absorbed by the canopy) were included as covariates to improve the filtering performance of the interpolator and the ability to generate uniform patterns of spatial variation from which it is easier to receive a meaningful interpretation in PA applications. Results from the VNIR prediction dataset obtained from a pivot-irrigated field in Albacete, southeastern Spain, during 2019, have shown that FRK variants outperform ordinary kriging in terms of filtering capacity, by doubling the noise removal metrics while keeping the computation cost reasonably low. Such features, along with the capacity to handle a large volume of spatial information, nominate the method as ideal for PA applications with massive proximal and remote sensing datasets.</p></article>", "keywords": ["Technology", "MANAGEMENT ZONES", "PREDICTION", "NDVI", "SPATIAL VARIABILITY", "Science", "MODELS", "PHYSICAL-PROPERTIES", "ONLINE", "Environmental Sciences & Ecology", "VNIR spectrometer", "geostatistical interpolation", "VARIABLES", "0203 Classical Physics", "Remote Sensing", "geostatistical interpolation; VNIR spectrometer; NDVI; fAPAR; precision agriculture", "0909 Geomatic Engineering", "QUALITY", "DATA FUSION", "Geosciences", " Multidisciplinary", "Imaging Science & Photographic Technology", "agriculture", "Science & Technology", "precision agriculture", "Q", "Geology", "04 agricultural and veterinary sciences", "15. Life on land", "DELINEATION", "Earth and Environmental Sciences", "Physical Sciences", "fAPAR", "0401 agriculture", " forestry", " and fisheries", "precision", "4013 Geomatic engineering", "0406 Physical Geography and Environmental Geoscience", "Life Sciences & Biomedicine", "3701 Atmospheric sciences", "Environmental Sciences", "3709 Physical geography and environmental geoscience"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/14/7/1639/pdf"}, {"href": "https://www.mdpi.com/2072-4292/14/7/1639/pdf"}, {"href": "https://doi.org/1854/LU-8751352"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-8751352", "name": "item", "description": "1854/LU-8751352", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-8751352"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-03-29T00:00:00Z"}}, {"id": "1871.1/505fa0c0-6587-48f4-a8b1-4f1ad19d6bb8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:19Z", "type": "Journal Article", "created": "2022-11-10", "title": "Forest foliage fuel load estimation from multi-sensor spatiotemporal features", "description": "Foliage fuel is the most flammable component in crown fires. Spatiotemporal dynamics of foliage fuel load (FFL) are important for fire managers to assess fire risk. Here, we integrated optical data from the Landsat 8 Operational Land Imager (OLI) with synthetic aperture radar (SAR) data from Sentinel-1 to estimate FFL. We first reconstructed seamless time series from the Landsat 8 and Sentinel-1 imagery by accounting for unequal time intervals between image observations and outliers. We then extracted temporal features that are proxies of the intra- and inter-annual dynamics from these time series. In addition, we derived spatial features from the imagery that quantify spatial context and therefore used varying window sizes. The random forest regression was implemented to assess the importance of the spatiotemporal features, reduce errors, and derive robust FFL estimates. The satellite estimates were validated against 96 field measurements from Pinus yunnanensis forests in the Liangshan Yi Autonomous Prefecture, Sichuan Province, China. Both the spatiotemporal features of SAR and optical data importantly contributed to FFL estimation. When only optical data was used, the model achieved a R2 of 0.75 (relative Root Mean Squared Error (rRMSE)\u00a0=\u00a025.3\u00a0%), while when only SAR data was used the R2 was 0.76 (rRMSE\u00a0=\u00a025.6\u00a0%). However, when optical and SAR data were combined, the R2 increased to 0.81 (rRMSE\u00a0=\u00a023.2\u00a0%). We also found that temporal features were more important predictors of FFL than features that captured spatial context. We demonstrated our FFL mapping method by a case study in the Chinese Sichuan Province, in relation to the occurrence of a fire. Our method needs additional validation over different tree species and forest types, yet has potential for mapping forest fuel loads and fire risk.", "keywords": ["Landsat 8", "Physical geography", "04 agricultural and veterinary sciences", "15. Life on land", "Fire risk", "01 natural sciences", "GB3-5030", "Spatiotemporal features", "Environmental sciences", "Forest foliage fuel load", "Sentinel-1", "0401 agriculture", " forestry", " and fisheries", "GE1-350", "SDG 14 - Life Below Water", "Random forest", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/1871.1/505fa0c0-6587-48f4-a8b1-4f1ad19d6bb8"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Journal%20of%20Applied%20Earth%20Observation%20and%20Geoinformation", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1871.1/505fa0c0-6587-48f4-a8b1-4f1ad19d6bb8", "name": "item", "description": "1871.1/505fa0c0-6587-48f4-a8b1-4f1ad19d6bb8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1871.1/505fa0c0-6587-48f4-a8b1-4f1ad19d6bb8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-12-01T00:00:00Z"}}, {"id": "3196546689", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:25:17Z", "type": "Journal Article", "created": "2021-09-03", "title": "Evaluation of pedotransfer functions for predicting soil hydraulic properties: A voyage from regional to field scales across Europe", "description": "Study region: Europe. A total of 660, 522, and 4940 soil samples belonging to GRIZZLY, HYPRES, and EU-HYDI databases, respectively, were used for parametric evaluation. Study focus: The soil water retention and hydraulic conductivity functions are crucial input information for land surface models. Determining these functions by using direct methods is hampered by excessive time and unaffordable costs required for field activities and laboratory analyses. Pedotransfer functions (PTFs) are widely-used indirect techniques enabling soil hydraulic properties to be predicted by using easily-retrievable soil information. In a parametric evaluation, the predictive capability of PTFs is examined by comparing measured and estimated soil water retention parameters and saturated hydraulic conductivity. Yet information about the performance of PTFs for specific modeling applications is mandatory to evaluate PTF effectiveness in greater depth. This approach is commonly defined as functional evaluation. New hydrological insights for the region: The best performing four PTFs selected in the parametric evaluations are tested under two functional evaluations. The first encompasses a spatial interpolation with a geostatistical technique, whereas the second employs Hydrus-1D to simulate the water balance components along an experimental transect. Our results reinforce and integrate the insights of previous studies about the use of a PTF, and highlight the ability, or inability, of this technique to adequately reproduce the observed spatial variability of soil hydraulic properties and simulated water fluxes.", "keywords": ["S1 Agriculture (General) / mez\u0151gazdas\u00e1g \u00e1ltal\u00e1ban", "Physical geography", "QE1-996.5", "Water retention function", "Hydrus-1D", "saturated hydraulic conductivity", "0208 environmental biotechnology", "0207 environmental engineering", "Geology", "02 engineering and technology", "15. Life on land", "Semi-variogram", "S590 Soill / Talajtan", "Saturated hydraulic conductivity", "6. Clean water", "GB3-5030", "Kriging", "semi-variogram", "functional evaluation", "water retention function", "Functional evaluation", "kriging", "water retention function", " saturated hydraulic conductivity", " semi-variogram", " kriging", " functional evaluation", " Hydrus-1D"]}, "links": [{"href": "https://doi.org/3196546689"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Hydrology%3A%20Regional%20Studies", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3196546689", "name": "item", "description": "3196546689", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3196546689"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-10-01T00:00:00Z"}}, {"id": "20.500.14017/81a6df94-d40c-4db1-86dc-539a3cb8aaf8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:32Z", "type": "Journal Article", "created": "2022-07-18", "title": "Net irrigation requirement under different climate scenarios using AquaCrop over Europe", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Global soil water availability is challenged by the effects of climate change and a growing population. On average, 70\u2009% of freshwater extraction is attributed to agriculture, and the demand is increasing. In this study, the effects of climate change on the evolution of the irrigation water requirement to sustain current crop productivity are assessed by using the Food and Agriculture Organization (FAO) crop growth model AquaCrop version 6.1. The model is run at 0.5\u2218lat\u00d70.5\u2218long resolution over the European mainland, assuming a general C3-type of crop, and forced by climate input data from the Inter-Sectoral Impact Model Intercomparison Project phase three (ISIMIP3). First, the AquaCrop surface soil moisture (SSM) forced with two types of ISIMIP3 historical meteorological datasets is evaluated with satellite-based SSM estimates in two ways. When driven by ISIMIP3a reanalysis meteorology, daily simulated SSM values have an unbiased root mean square difference of 0.08 and 0.06\u2009m3\u2009m\u22123, with SSM retrievals from the Soil Moisture Ocean Salinity (SMOS) and Soil Moisture Active Passive (SMAP) missions, respectively, for the years 2015\u20132016 (2016 is the end year of the reanalysis data). When forced with ISIMIP3b meteorology from five global climate models (GCMs) for the years 2015\u20132020, the historical simulated SSM climatology closely agrees with the satellite-based SSM climatologies. Second, the evaluated AquaCrop model is run to quantify the future irrigation requirement, for an ensemble of five GCMs and three different emission scenarios. The simulated net irrigation requirement (Inet) of the three summer months for a near and far future climate period (2031\u20132060 and 2071\u20132100) is compared to the baseline period of 1985\u20132014 to assess changes in the mean and interannual variability of the irrigation demand. Averaged over the continent and the model ensemble, the far future Inet is expected to increase by 22\u2009mm per month (+30\u2009%) under a high-emission scenario Shared Socioeconomic Pathway (SSP) 3\u20137.0. Central and southern Europe are the most impacted, with larger Inet increases. The interannual variability in Inet is likely to increase in northern and central Europe, whereas the variability is expected to decrease in southern regions. Under a high mitigation scenario (SSP1\u20132.6), the increase in Inet will stabilize at around 13\u2009mm per month towards the end of the century, and interannual variability will still increase but to a smaller extent. The results emphasize a large uncertainty in the Inet projected by various GCMs.                     </p></article>", "keywords": ["IMPACTS", "LAND", "Technology", "Environmental Engineering", "AGRICULTURE", "DEFICIT IRRIGATION", "SIMULATE YIELD RESPONSE", "0207 environmental engineering", "UNCERTAINTY", "02 engineering and technology", "CROP WATER PRODUCTIVITY", "Environmental technology. Sanitary engineering", "01 natural sciences", "0905 Civil Engineering", "G", "DATA ASSIMILATION", "Geography. Anthropology. Recreation", "GE1-350", "Geosciences", " Multidisciplinary", "TD1-1066", "0105 earth and related environmental sciences", "2. Zero hunger", "Science & Technology", "3707 Hydrology", "T", "Geology", "15. Life on land", "TRENDS", "6. Clean water", "MODEL", "Environmental sciences", "0907 Environmental Engineering", "13. Climate action", "Physical Sciences", "Water Resources", "4013 Geomatic engineering", "0406 Physical Geography and Environmental Geoscience", "3709 Physical geography and environmental geoscience"]}, "links": [{"href": "https://hess.copernicus.org/articles/26/3731/2022/hess-26-3731-2022.pdf"}, {"href": "https://doi.org/20.500.14017/81a6df94-d40c-4db1-86dc-539a3cb8aaf8"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.14017/81a6df94-d40c-4db1-86dc-539a3cb8aaf8", "name": "item", "description": "20.500.14017/81a6df94-d40c-4db1-86dc-539a3cb8aaf8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.14017/81a6df94-d40c-4db1-86dc-539a3cb8aaf8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-12T00:00:00Z"}}, {"id": "10044/1/67327", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:23:41Z", "type": "Journal Article", "created": "2019-03-11", "title": "Drought impacts on terrestrial primary production underestimated by satellite monitoring", "description": "Satellite retrievals of information about the Earth's surface are widely used to monitor global terrestrial photosynthesis and primary production and to examine the ecological impacts of droughts. Methods for estimating photosynthesis from space commonly combine information on vegetation greenness, incoming radiation, temperature and atmospheric demand for water (vapour-pressure deficit), but do not account for the direct effects of low soil moisture. They instead rely on vapour-pressure deficit as a proxy for dryness, despite widespread evidence that soil moisture deficits have a direct impact on vegetation, independent of vapour-pressure deficit. Here, we use a globally distributed measurement network to assess the effect of soil moisture on photosynthesis, and identify a common bias in an ensemble of satellite-based estimates of photosynthesis that is governed by the magnitude of soil moisture effects on photosynthetic light-use efficiency. We develop methods to account for the influence of soil moisture and estimate that soil moisture effects reduce global annual photosynthesis by ~15%, increase interannual variability by more than 100% across 25% of the global vegetated land surface, and amplify the impacts of extreme events on primary production. These results demonstrate the importance of soil moisture effects for monitoring carbon-cycle variability and drought impacts on vegetation productivity from space.", "keywords": ["550", "0207 environmental engineering", "02 engineering and technology", "01 natural sciences", "Physical Geography and Environmental Geoscience", "USE EFFICIENCY", "NET PRIMARY PRODUCTION", "Meteorology & Atmospheric Sciences", "Geosciences", " Multidisciplinary", "WATER-STRESS", "Physical geography and environmental geoscience", "0105 earth and related environmental sciences", "2. Zero hunger", "Multidisciplinary", "Science & Technology", "CLIMATE-CHANGE", "Ecology", "PHOTOSYNTHESIS", "Geology", "GROSS PRIMARY PRODUCTION", "Carbon cycle", "Biogeochemistry", "15. Life on land", "FOREST", "6. Clean water", "ATMOSPHERIC DEMAND", "13. Climate action", "Physical Sciences", "Earth Sciences", "RADIATION", "CARBON UPTAKE", "Geosciences"]}, "links": [{"href": "http://www.nature.com/articles/s41561-019-0318-6.pdf"}, {"href": "https://escholarship.org/content/qt2hr7r7gk/qt2hr7r7gk.pdf"}, {"href": "https://doi.org/10044/1/67327"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Geoscience", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10044/1/67327", "name": "item", "description": "10044/1/67327", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10044/1/67327"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-03-11T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Physical+Geography&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Physical+Geography&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Physical+Geography&", "hreflang": "en-US"}, {"rel": "next", "type": "application/geo+json", "title": "items (next)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Physical+Geography&offset=50", "hreflang": "en-US"}], "numberMatched": 81, "numberReturned": 50, "distributedFeatures": [], "timeStamp": "2026-05-25T08:07:05.611522Z"}