{"type": "FeatureCollection", "features": [{"id": "10.1016/j.envpol.2024.125193", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:16:15Z", "type": "Journal Article", "created": "2024-10-24", "title": "Effect of particle size on the transport of polystyrene micro- and nanoplastic particles through quartz sand under unsaturated conditions", "description": "Micro- and nanoplastics (MNPs) are contaminants of emerging concern recently found in soil ecosystems. Their presence in terrestrial environments and their migration to aquatic environments may become a risk for the health of ecosystems and, through them, of humans. Understanding the interaction between particle properties and physicochemical and hydrodynamic factors is crucial to evaluate their fate and their potential infiltration towards groundwater. This study investigates the impact of particle size on MNPs transport through sand under unsaturated conditions. Infiltration column experiments with polystyrene MNPs ranging from 120 to 10,000\u00a0nm were conducted and supported by numerical modelling to derive reactive transport parameters. Results show a significant effect of particle size on the transport of MNPs, with higher recovery values observed for smaller particles (120\u00a0nm; 95.11%) compared to larger particles (1000\u00a0nm; 71.44%). No breakthrough was observed for 10,000\u00a0nm particles, indicating a complete retention within the quartz sand matrix. DLVO theory confirmed the dominance of electrostatic repulsive forces between MNPs and sand grains, suggesting an unfavourable environment for MNPs to adhere to quartz sand. Consequently, particle retention in the sand matrix occurs predominantly by physical processes. Equilibrium sorption modelling reveals that larger particles (1000\u00a0nm) tend to be immobilized in small pores throats due to straining, resulting in lower recoveries. When they are not trapped, particles tend to travel faster through preferential flows due to a size exclusion effect, evidenced by shorter arrival times at the column outlet compared to tracers. These findings highlight the influence of particle size on the transport and retention of MNPs in quartz sand under unsaturated conditions and contribute to a better understanding of their transport dynamics and environmental fate.", "keywords": ["Microplastics", "Q Science (General)", "Quartz", "particle size", "QS Ecology", "nanoplastics", "modelling", "Sand", "Polystyrenes", "Nanoparticles", "Soil Pollutants", "Particle Size", "Plastics", "Groundwater"], "contacts": [{"organization": "Rieckhof, Cynthia, Mart\u00ednez-Hern\u00e1ndez, Virtudes, Holzbecher, Ekkehard, Meffe, Raffaella,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.envpol.2024.125193"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Pollution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.envpol.2024.125193", "name": "item", "description": "10.1016/j.envpol.2024.125193", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.envpol.2024.125193"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.1016/j.jhydrol.2021.126551", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:16:44Z", "type": "Journal Article", "created": "2021-06-08", "title": "Smartphone-based tension disc infiltrometer for soil hydraulic characterisation", "description": "31 Pags.- 18 Figs.- 1 Tabl.  The definitive version is available at: https://www.sciencedirect.com/science/journal/00221694 The tension disc infiltrometer has become a widespread method to measure soil hydraulic properties under unsaturated conditions. Although several automated devices have been developed, most designs include an elongated water reservoir and a pressure transducer with electronic components to register the water level, increasing its cost and limiting its application. The objective of this work is to present a new tension disc infiltrometer with a compact design of 10 cm diameter and height, where the water level is monitored by a smartphone camera. The infiltration curve is determined from the automated analysis of the images recorded by the smartphone without additional electronic components. The device was first validated in the laboratory by comparing visual measurements (V), the camera imagery (Ca) and a pressure transducer (PT). Next, it was tested on field infiltration experiments. Robust fits (R2 = 0.99) were found between the water level measured with Ca in the laboratory and those obtained with V and PT procedures. The Ca method is accurate, robust and independent of the relative camera position. Good fits were also observed between Ca water level and those obtained with PT in the field experiments. Similar hydraulic conductivity and sorptivity values were obtained with both sensors using the numerical solution of the Haverkamp (NSH) equation. The compact infiltrometer, in conjunction with the smartphone camera, is an accurate, accessible, portable and easy-to-use field-based device for soil hydraulic characterisation. This research was supported by the MINECO project ASBIO (PGC2018-094332-B-100) and the European Union\u2019s Horizon 2020 research and innovation program under grant agreement No [H2020-MSCA-RISE-777803]. Peer reviewed", "keywords": ["Automated single-ring infiltrometer", "Compact design", "0207 environmental engineering", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "02 engineering and technology", "Soil hydraulic properties", "Infiltration rate measurements", "NSH", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.1016/j.jhydrol.2021.126551"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Hydrology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jhydrol.2021.126551", "name": "item", "description": "10.1016/j.jhydrol.2021.126551", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jhydrol.2021.126551"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-09-01T00:00:00Z"}}, {"id": "10.1016/j.polymertesting.2025.108824", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:16:49Z", "type": "Journal Article", "created": "2025-04-26", "title": "A cost-effective protocol for detecting fluorescent microplastics in arable soils to study redistribution processes", "description": "Understanding microplastics' (MPs) transport from soils to aquatic ecosystems is challenging due to labor-intensive detection methods, especially in large-scale plot experiments analyzing surface runoff and soil erosion. To address this, we used fluorescent MPs as tracers and developed a cost-effective protocol to detect them in dry soils and eroded sediments. We analyzed spherical polyethylene (PE: 125\u2013150\u00a0\u03bcm; 425\u2013500\u00a0\u03bcm) and irregular polylactic acid (PLA: 125\u2013150\u00a0\u03bcm; 250\u2013300\u00a0\u03bcm). Sample assays were prepared primarily based on dry and wet sieving. Subsequent darkroom photography under 365\u00a0nm illumination, and thresholding and segmentation-based image analysis were done. The developed protocol demonstrates high reliability, precision, and F-scores of 88.7\u00a0%\u00a0\u00b1\u00a02.9\u00a0%, 85.2\u00a0%\u00a0\u00b1\u00a03.1\u00a0%, and 86.9\u00a0%\u00a0\u00b1\u00a02.8\u00a0%. PE exhibited slightly higher recovery rates (85\u00a0%\u00a0\u00b1\u00a05\u00a0%) than PLA (79\u00a0%\u00a0\u00b1\u00a08\u00a0%). Particle size influenced recovery, with larger MPs achieving significantly higher recovery. Smaller particles showed slightly lower recovery under dry soil conditions, but their recovery improved under sediment conditions facilitated by wet sieving and ultrasonication. All fluorescent MPs retained >95\u00a0% detectability after three months of storage, highlighting marker temporal stability. Compared to existing methods, this protocol eliminates complex digestion steps, reduces costs, and ensures minimal contamination, providing a robust framework for MP transport studies. It offers potential for enhancement through advanced imaging and machine learning, enabling more efficient and accessible detection in environmental research.", "keywords": ["Soil", "Microplastic transport", "Identification", "TP1080-1185", "Sediment monitoring", "Polymers and polymer manufacture", "Surface runoff", "Fluorescence"]}, "links": [{"href": "https://doi.org/10.1016/j.polymertesting.2025.108824"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Polymer%20Testing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.polymertesting.2025.108824", "name": "item", "description": "10.1016/j.polymertesting.2025.108824", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.polymertesting.2025.108824"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-06-01T00:00:00Z"}}, {"id": "10.1016/j.scitotenv.2023.169662", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:16:57Z", "type": "Journal Article", "created": "2023-12-28", "title": "Plant-mediated CH4 exchange in wetlands: A review of mechanisms and measurement methods with implications for modelling", "description": "Plant-mediated CH4 transport (PMT) is the dominant pathway through which soil-produced CH4 can escape into the atmosphere and thus plays an important role in controlling ecosystem CH4 emission. PMT is affected by abiotic and biotic factors simultaneously, and the effects of biotic factors, such as the dominant plant species and their traits, can override the effects of abiotic factors. Increasing evidence shows that plant-mediated CH4 fluxes include not only PMT, but also within-plant CH4 production and oxidation due to the detection of methanogens and methanotrophs attached to the shoots. Despite the inter-species and seasonal differences, and the probable contribution of within-plant microbes to total plant-mediated CH4 exchange (PME), current process-based ecosystem models only estimate PMT based on the bulk biomass or leaf area index of aerenchymatous plants. We highlight five knowledge gaps to which more research efforts should be devoted. First, large between-species variation, even within the same family, complicates general estimation of PMT, and calls for further work on the key dominant species in different types of wetlands. Second, the interface (rhizosphere-root, root-shoot, or leaf-atmosphere) and plant traits controlling PMT remain poorly documented, but would be required for generalizations from species to relevant functional groups. Third, the main environmental controls of PMT across species remain uncertain. Fourth, the role of within-plant CH4 production and oxidation is poorly quantified. Fifth, the simplistic description of PMT in current process models results in uncertainty and potentially high errors in predictions of the ecosystem CH4 flux. Our review suggest that flux measurements should be conducted over multiple growing seasons and be paired with trait assessment and microbial analysis, and that trait-based models should be developed. Only then we are capable to accurately estimate plant-mediated CH4 emissions, and eventually ecosystem total CH4 emissions at both regional and global scales.", "keywords": ["Drivers", "330", "Plants", "Carbon Dioxide", "metaani", "Modelling", "Processes", "Soil", "Wetland plants", "Wetlands", "Mechanisms", "suot", "suokasvillisuus", "Plant CH4 transport", "Biomass", "Methane", "Ecosystem"]}, "links": [{"href": "https://doi.org/10.1016/j.scitotenv.2023.169662"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.scitotenv.2023.169662", "name": "item", "description": "10.1016/j.scitotenv.2023.169662", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.scitotenv.2023.169662"}, {"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": "10.1071/sr13043", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:18:07Z", "type": "Journal Article", "created": "2013-12-20", "title": "Impact Of Carbon Farming Practices On Soil Carbon In Northern New South Wales", "description": "<p>This study sought to quantify the influence of \uffe2\uff80\uff98carbon farming\uffe2\uff80\uff99 practices on soil carbon stocks, in comparison with conventional grazing and cropping, in northern New South Wales. The study had two components: assessment of impacts of organic amendments on soil carbon and biological indicators in croplands on Vertosols of the Liverpool Plains; and assessment of the impact of grazing management on soil carbon in Chromosols of the Northern Tablelands. The organic amendment sites identified for the survey had been treated with manures, composts, or microbial treatments, while the conventional management sites had received only chemical fertilisers. The rotational grazing sites had been managed so that grazing was restricted to short periods of several days, followed by long rest periods (generally several months) governed by pasture growth. These were compared with sites that were grazed continuously. No differences in total soil carbon stock, or soil carbon fractions, were observed between sites treated with organic amendments and those treated with chemical fertiliser. There was some evidence of increased soil carbon stock under rotational compared with continuous grazing, but the difference was not statistically significant. Similarly, double-stranded DNA (dsDNA) stocks were not significantly different in either of the management contrasts, but tended to show higher values in organic treatments and rotational grazing. The enzymatic activities of \uffce\uffb2-glucosidase and leucine-aminopeptidase were significantly higher in rotational than continuous grazing but statistically similar for the cropping site treatments. Relative abundance and community structure, measured on a subset of the cropping sites, showed a higher bacteria\uffe2\uff80\uff89:\uffe2\uff80\uff89fungi ratio and provided evidence that microbial process rates were significantly higher in chemically fertilised sites than organic amendment sites, suggesting enhanced mineralisation of organic matter under conventional management. The higher enzyme activity and indication of greater efficiency of microbial populations on carbon farming sites suggests a greater potential to build soil carbon under these practices. Further research is required to investigate whether the indicative trends observed reflect real effects of management.</p>", "keywords": ["2. Zero hunger", "Land Capability and Soil Degradation", "550", "XXXXXX - Unknown", "0401 agriculture", " forestry", " and fisheries", "Carbon Sequestration Science", "04 agricultural and veterinary sciences", "15. Life on land", "Land capability and soil productivity"]}, "links": [{"href": "https://doi.org/10.1071/sr13043"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1071/sr13043", "name": "item", "description": "10.1071/sr13043", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1071/sr13043"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-01-01T00:00:00Z"}}, {"id": "10.1111/gcb.12819", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:18:44Z", "type": "Journal Article", "created": "2014-12-05", "title": "Soil Warming And Co2 Enrichment Induce Biomass Shifts In Alpine Tree Line Vegetation", "description": "Abstract<p>Responses of alpine tree line ecosystems to increasing atmospheric CO2 concentrations and global warming are poorly understood. We used an experiment at the Swiss tree line to investigate changes in vegetation biomass after 9\uffc2\uffa0years of free air CO2 enrichment (+200\uffc2\uffa0ppm; 2001\uffe2\uff80\uff932009) and 6\uffc2\uffa0years of soil warming (+4\uffc2\uffa0\uffc2\uffb0C; 2007\uffe2\uff80\uff932012). The study contained two key tree line species, Larix decidua and Pinus uncinata, both approximately 40\uffc2\uffa0years old, growing in heath vegetation dominated by dwarf shrubs. In 2012, we harvested and measured biomass of all trees (including root systems), above\uffe2\uff80\uff90ground understorey vegetation and fine roots. Overall, soil warming had clearer effects on plant biomass than CO2 enrichment, and there were no interactive effects between treatments. Total plant biomass increased in warmed plots containing Pinus but not in those with Larix. This response was driven by changes in tree mass (+50%), which contributed an average of 84% (5.7\uffc2\uffa0kg\uffc2\uffa0m\uffe2\uff88\uff922) of total plant mass. Pinus coarse root mass was especially enhanced by warming (+100%), yielding an increased root mass fraction. Elevated CO2 led to an increased relative growth rate of Larix stem basal area but no change in the final biomass of either tree species. Total understorey above\uffe2\uff80\uff90ground mass was not altered by soil warming or elevated CO2. However, Vaccinium myrtillus mass increased with both treatments, graminoid mass declined with warming, and forb and nonvascular plant (moss and lichen) mass decreased with both treatments. Fine roots showed a substantial reduction under soil warming (\uffe2\uff88\uff9240% for all roots &lt;2\uffc2\uffa0mm in diameter at 0\uffe2\uff80\uff9320\uffc2\uffa0cm soil depth) but no change with CO2 enrichment. Our findings suggest that enhanced overall productivity and shifts in biomass allocation will occur at the tree line, particularly with global warming. However, individual species and functional groups will respond differently to these environmental changes, with consequences for ecosystem structure and functioning.</p>", "keywords": ["0106 biological sciences", "2. Zero hunger", "Models", " Statistical", "Temperature", "Larix", "Carbon Dioxide", "15. Life on land", "Pinus", "Global Warming", "01 natural sciences", "Soil", "Species Specificity", "13. Climate action", "Biomass", "Tundra", "Switzerland"]}, "links": [{"href": "https://doi.org/10.1111/gcb.12819"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/gcb.12819", "name": "item", "description": "10.1111/gcb.12819", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/gcb.12819"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-01-30T00:00:00Z"}}, {"id": "10.1111/gcbb.12255", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:18:48Z", "type": "Journal Article", "created": "2015-02-19", "title": "Bioenergy Harvest, Climate Change, And Forest Carbon In The Oregon Coast Range", "description": "Abstract<p>Forests provide important ecological, economic, and social services, and recent interest has emerged in the potential for using residue from timber harvest as a source of renewable woody bioenergy. The long\uffe2\uff80\uff90term consequences of such intensive harvest are unclear, particularly as forests face novel climatic conditions over the next century. We used a simulation model to project the long\uffe2\uff80\uff90term effects of management and climate change on above\uffe2\uff80\uff90 and belowground forest carbon storage in a watershed in northwestern Oregon. The multi\uffe2\uff80\uff90ownership watershed has a diverse range of current management practices, including little\uffe2\uff80\uff90to\uffe2\uff80\uff90no harvesting on federal lands, short\uffe2\uff80\uff90rotation clear\uffe2\uff80\uff90cutting on industrial land, and a mix of practices on private nonindustrial land. We simulated multiple management scenarios, varying the rate and intensity of harvest, combined with projections of climate change. Our simulations project a wide range of total ecosystem carbon storage with varying harvest rate, ranging from a 45% increase to a 16% decrease in carbon compared to current levels. Increasing the intensity of harvest for bioenergy caused a 2\uffe2\uff80\uff933% decrease in ecosystem carbon relative to conventional harvest practices. Soil carbon was relatively insensitive to harvest rotation and intensity, and accumulated slowly regardless of harvest regime. Climate change reduced carbon accumulation in soil and detrital pools due to increasing heterotrophic respiration, and had small but variable effects on aboveground live carbon and total ecosystem carbon. Overall, we conclude that current levels of ecosystem carbon storage are maintained in part due to substantial portions of the landscape (federal and some private lands) remaining unharvested or lightly managed.\uffc2\uffa0Increasing the intensity of harvest for bioenergy on currently harvested land, however,\uffc2\uffa0led to a relatively small reduction in the ability of forests to store carbon. Climate change is unlikely to substantially alter carbon storage in these forests, absent shifts in disturbance regimes.</p>", "keywords": ["0106 biological sciences", "Carbon dioxide mitigation", "Forest ecology -- Oregon -- Oregon Coast Range", "Forest biomass", "13. Climate action", "Carbon cycle (Biogeochemistry)", "Biomass energy", "Forest Biology", "15. Life on land", "01 natural sciences", "7. Clean energy", "Climatic change", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1111/gcbb.12255"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/GCB%20Bioenergy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/gcbb.12255", "name": "item", "description": "10.1111/gcbb.12255", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/gcbb.12255"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-05-25T00:00:00Z"}}, {"id": "10.1186/s12302-025-01141-6", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:19:22Z", "type": "Journal Article", "created": "2025-06-15", "title": "Investigating the extent of PFAS contamination in the Upper Danube Basin across environmental compartments", "description": "Abstract                        Background             <p>Per- and polyfluoroalkyl substances (PFAS) are emerging organic pollutants widely detected in environmental systems, posing risks to human health and the ecosystem. Despite increasing efforts to monitor PFAS in river systems, knowledge gaps remain regarding sources and emissions via different pathways. This study investigates PFAS contamination across multiple environmental compartments in the Upper Danube Basin, including surface water, groundwater, wastewater, landfill leachate, surface runoff, and atmospheric deposition. The primary objectives are to assess the extent of PFAS contamination, identify key emission sources and transport pathways, and evaluate associated risks in terms of the potential exceedance of current and proposed environmental regulatory thresholds in the European Union.</p>                                   Results             <p>The findings reveal a widespread presence of PFAS, with PFOA, PFOS and short-chain compounds being predominant. The Alz River and Gendorf chemical park emerge as hotspots with far-reaching effects downstream, contributing significantly to diffuse legacy contamination of PFOA and being a significant source of two industrial PFOA substitutes, ADONA and GenX. Wastewater treatment plants, old municipal landfills, and sites with a history of fire-fighting foam application are identified as key pathways or sources of legacy pollution, exhibiting higher concentrations compared to the other matrices. Notably, no significant removal is observed when comparing influent and effluent samples from conventional WWTPs. The study further demonstrates that groundwater is vulnerable to contamination from point sources and to infiltration from rivers, with bank filtration proving largely ineffective in preventing PFAS contamination.</p>                                   Conclusions             <p>The study underscores the necessity for source and pathway control measures to mitigate PFAS pollution, the implementation of advanced treatment technologies to safeguard drinking water and surface water quality, and targeted remediation for legacy soil and groundwater contamination. Additionally, strong use regulations should be explored to minimize ongoing emissions. The multi-compartment monitoring proves to be a crucial approach to understand the complexity of PFAS distribution at the catchment scale. Comparative analysis and risk assessment highlight challenging situations for water management, offering an indispensable basis for emission modeling as a next step for quantitative assessment of the relevance of different sources and pathways for surface water pollution.</p>", "keywords": ["Emerging contaminants", "Emerging Pollutants", "PFAS", "Source identification", "Watershed management", "Environmental sciences", "Emission", "Water Framework Directive", "Environmental law", "Water pollution", "GE1-350", "K3581-3598", "Catchment monitoring", "Environmental Monitoring"]}, "links": [{"href": "https://doi.org/10.1186/s12302-025-01141-6"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Sciences%20Europe", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1186/s12302-025-01141-6", "name": "item", "description": "10.1186/s12302-025-01141-6", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1186/s12302-025-01141-6"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-06-15T00:00:00Z"}}, {"id": "10.2307/1351977", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:20:32Z", "type": "Journal Article", "created": "2006-04-13", "title": "Are Spartina Marshes A Replaceable Resource - A Functional-Approach To Evaluation Of Marsh Creation Efforts", "description": "Marsh creation has come into increasing use as a measure to mitigate loss of valuable wetlands. However, few programs have addressed the functional ecological equivalence of man-made marshes and their natural counterparts. This study addresses structural and functional interactions in a man-made and two natural marshes. This was done by integrating substrate characteristics and marsh utilization by organisms of two trophic levels. Sediment properties, infaunal community composition, andFundulus heteroclitus marsh utilization were compared for a man-madeSpartina salt marsh (between ages 1 to 3 yr) in Dills Creek, North Carolina, and adjacent natural marshes to the east and west. East natural marsh and planted marsh sediment grain-size distributions were more similar to each other than to the west natural marsh due to shared drainage systems, but sediment organic content of the planted marsh was much lower than in either natural marsh. This difference was reflected in macrofaunal composition. Natural marsh sediments were inhabited primarily by subsurface, deposit-feeding oligochaetes whereas planted marsh sediments were dominated by the tube-building, surface-deposit feeding polychaetesStreblospio benedicti andManayunkia aestuarina. Infaunal differences were mirrored inFundulus diets. Natural marsh diets contained more detritus and insects, because oligochaetes, though abundant, were relatively inaccessible. Polychaetes and algae were major constituents of the planted marshFundulus diet. Though naturalmarsh fish may acquire a potentially less nutritive, detritus-based diet relative to the higher animal protein diet of the planted marsh fish,Fundulus abundances were markedly lower in the planted marsh than in the natural marshes, indicating fewer fish were being supported. LowerSpartina stem densities in the planted marsh may have provided inadequate protection from predation or insufficient spawning sites for the fundulids. After three years, the planted marsh remained functionally distinct from the adjacent natural marshes. Mitigation success at Dills Creek could have been improved by increasing tidal flushing, thereby enhancing, access to marine organisms and by mulching withSpartina wrack to increase sediment organic-matter content and porosity. Results from this study indicate that salt marshes should not be treated as a replaceable resource in the short term. The extreme spatial and temporal variability inherent to salt marshes make it virtually impossible to exactly replace a marsh by planting one on another site.", "keywords": ["0106 biological sciences", "14. Life underwater", "15. Life on land", "01 natural sciences", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.2307/1351977"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Estuaries", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2307/1351977", "name": "item", "description": "10.2307/1351977", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2307/1351977"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "1991-03-01T00:00:00Z"}}, {"id": "10.2139/ssrn.4556085", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:20:29Z", "type": "Journal Article", "created": "2023-08-29", "title": "A Laser Diffractometry Technique for Determining the Soil Water Stable Aggregates Index", "description": "Open AccessPeer reviewed", "keywords": ["Water stable aggregates index", "Laser diffractometry", "Wet sieving", "Soil aggregates"]}, "links": [{"href": "https://doi.org/10.2139/ssrn.4556085"}, {"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": "10.2139/ssrn.4556085", "name": "item", "description": "10.2139/ssrn.4556085", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2139/ssrn.4556085"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-01T00:00:00Z"}}, {"id": "10261/306235", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:24:42Z", "type": "Journal Article", "created": "2023-03-31", "title": "Negotiating Gender Roles in Academia: A Courageous Exploration", "description": "Open AccessPeer reviewed", "keywords": ["Women in Limnology", "5. Gender equality", "Gender Roles in Academia", "http://metadata.un.org/sdg/5", "Achieve gender equality and empower all women and girls", "16. Peace & justice"]}, "links": [{"href": "https://doi.org/10261/306235"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Limnology%20and%20Oceanography%20Bulletin", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/306235", "name": "item", "description": "10261/306235", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/306235"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-03-31T00:00:00Z"}}, {"id": "10.3389/fpls.2019.00191", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:20:50Z", "type": "Journal Article", "created": "2019-02-22", "title": "Interannual and Seasonal Dynamics of Volatile Organic Compound Fluxes From the Boreal Forest Floor", "description": "In the northern hemisphere, boreal forests are a major source of biogenic volatile organic compounds (BVOCs), which drive atmospheric processes and lead to cloud formation and changes in the Earth's radiation budget. Although forest vegetation is known to be a significant source of BVOCs, the role of soil and the forest floor, and especially interannual variations in fluxes, remains largely unknown due to a lack of long-term measurements. Our aim was to determine the interannual, seasonal and diurnal dynamics of boreal forest floor volatile organic compound (VOC) fluxes and to estimate how much they contribute to ecosystem VOC fluxes. We present here an 8-year data set of forest floor VOC fluxes, measured with three automated chambers connected to the quadrupole proton transfer reaction mass spectrometer (quadrupole PTR-MS). The exceptionally long data set shows that forest floor fluxes were dominated by monoterpenes and methanol, with relatively comparable emission rates between the years. Weekly mean monoterpene fluxes from the forest floor were highest in spring and in autumn (maximum 59 and 86 \u03bcg m-2 h-1, respectively), whereas the oxygenated VOC fluxes such as methanol had highest weekly mean fluxes in spring and summer (maximum 24 and 79 \u03bcg m-2 h-1, respectively). Although the chamber locations differed from each other in emission rates, the inter-annual dynamics were very similar and systematic. Accounting for this chamber location dependent variability, temperature and relative humidity, a mixed effects linear model was able to explain 79-88% of monoterpene, methanol, acetone, and acetaldehyde fluxes from the boreal forest floor. The boreal forest floor was a significant contributor in the forest stand fluxes, but its importance varies between seasons, being most important in autumn. The forest floor emitted 2-93% of monoterpene fluxes in spring and autumn and 1-72% of methanol fluxes in spring and early summer. The forest floor covered only a few percent of the forest stand fluxes in summer.", "keywords": ["VOC EMISSIONS", "Plant Science", "ATMOSPHERIC OH", "01 natural sciences", "forest floor", "SB1-1110", "MONOTERPENE EMISSIONS", "vegetation", "biogenic volatile organic compound", "11. Sustainability", "SCOTS PINE", "EXCHANGE", "0105 earth and related environmental sciences", "decomposition", "CLIMATE-CHANGE", "seasonality", "temperature", "Plant culture", "Forestry", "15. Life on land", "SOIL", "MODEL", "Environmental sciences", "flux", "13. Climate action", "PTR-TOF", "METHANOL"]}, "links": [{"href": "https://doi.org/10.3389/fpls.2019.00191"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Plant%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fpls.2019.00191", "name": "item", "description": "10.3389/fpls.2019.00191", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fpls.2019.00191"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-02-22T00:00:00Z"}}, {"id": "10.5061/dryad.pb271", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:21:36Z", "type": "Dataset", "title": "Data from: Interactions among roots, mycorrhizae and free-living microbial communities differentially impact soil carbon processes", "description": "unspecifiedPlant roots, their associated microbial community and free-living soil  microbes interact to regulate the movement of carbon from the soil to the  atmosphere, one of the most important and least understood fluxes of  terrestrial carbon. Our inadequate understanding of how plant\u2013microbial  interactions alter soil carbon decomposition may lead to poor model  predictions of terrestrial carbon feedbacks to the atmosphere. Roots,  mycorrhizal fungi and free-living soil microbes can alter soil carbon  decomposition through exudation of carbon into soil. Exudates of simple  carbon compounds can increase microbial activity because microbes are  typically carbon limited. When both roots and mycorrhizal fungi are  present in the soil, they may additively increase carbon decomposition.  However, when mycorrhizas are isolated from roots, they may limit soil  carbon decomposition by competing with free-living decomposers for  resources. We manipulated the access of roots and mycorrhizal fungi to  soil in situ in a temperate mixed deciduous forest. We added 13C-labelled  substrate to trace metabolized carbon in respiration and measured  carbon-degrading microbial extracellular enzyme activity and soil carbon  pools. We used our data in a mechanistic soil carbon decomposition model  to simulate and compare the effects of root and mycorrhizal fungal  presence on soil carbon dynamics over longer time periods. Contrary to  what we predicted, root and mycorrhizal biomass did not interact to  additively increase microbial activity and soil carbon degradation. The  metabolism of 13C-labelled starch was highest when root biomass was high  and mycorrhizal biomass was low. These results suggest that mycorrhizas  may negatively interact with the free-living microbial community to  influence soil carbon dynamics, a hypothesis supported by our enzyme  results. Our steady-state model simulations suggested that root presence  increased mineral-associated and particulate organic carbon pools, while  mycorrhizal fungal presence had a greater influence on particulate than  mineral-associated organic carbon pools. Synthesis. Our results suggest  that the activity of enzymes involved in organic matter decomposition was  contingent upon root\u2013mycorrhizal\u2013microbial interactions. Using our  experimental data in a decomposition simulation model, we show that  root\u2013mycorrhizal\u2013microbial interactions may have longer-term legacy  effects on soil carbon sequestration. Overall, our study suggests that  roots stimulate microbial activity in the short term, but contribute to  soil carbon storage over longer periods of time.", "keywords": ["2. Zero hunger", "roots", "13. Climate action", "simulation model", "carbon dynamics", "Rhizosphere", "stable isotope", "plant-soil (belowground) interactions", "15. Life on land", "extra-cellular enzyme activity", "mycorrhizae"], "contacts": [{"organization": "Moore, Jessica A. M., Jiang, Jiang, Patterson, Courtney M., Wang, Gangsheng, Mayes, Melanie A., Classen, Aim\u00e9e T.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.pb271"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.pb271", "name": "item", "description": "10.5061/dryad.pb271", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.pb271"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-09-14T00:00:00Z"}}, {"id": "10.5194/bg-15-4459-2018", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:21:42Z", "type": "Journal Article", "created": "2018-07-20", "title": "Global soil organic carbon removal by water erosion under climate change and land use change during AD\u20091850\u20132005", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Erosion is an Earth system process that transports carbon laterally across the land surface and is currently accelerated by anthropogenic activities. Anthropogenic land cover change has accelerated soil erosion rates by rainfall and runoff substantially, mobilizing vast quantities of soil organic carbon (SOC) globally. At timescales of decennia to millennia this mobilized SOC can significantly alter previously estimated carbon emissions from land use change (LUC). However, a full understanding of the impact of erosion on land\u2013atmosphere carbon exchange is still missing. The aim of this study is to better constrain the terrestrial carbon fluxes by developing methods compatible with land surface models (LSMs) in order to explicitly represent the links between soil erosion by rainfall and runoff and carbon dynamics. For this we use an emulator that represents the carbon cycle of a LSM, in combination with the Revised Universal Soil Loss Equation (RUSLE) model. We applied this modeling framework at the global scale to evaluate the effects of potential soil erosion (soil removal only) in the presence of other perturbations of the carbon cycle: elevated atmospheric CO2, climate variability, and LUC. We find that over the period AD\u20091850\u20132005 acceleration of soil erosion leads to a total potential SOC removal flux of 74\u00b118\u2009Pg\u2009C, of which 79\u2009%\u201385\u2009% occurs on agricultural land and grassland. Using our best estimates for soil erosion we find that including soil erosion in the SOC-dynamics scheme results in an increase of 62\u2009% of the cumulative loss of SOC over 1850\u20132005 due to the combined effects of climate variability, increasing atmospheric CO2 and LUC. This additional erosional loss decreases the cumulative global carbon sink on land by 2\u2009Pg of carbon for this specific period, with the largest effects found for the tropics, where deforestation and agricultural expansion increased soil erosion rates significantly. We conclude that the potential effect of soil erosion on the global SOC stock is comparable to the effects of climate or LUC. It is thus necessary to include soil erosion in assessments of LUC and evaluations of the terrestrial carbon cycle.                     </p></article>", "keywords": ["[SDE] Environmental Sciences", "2. Zero hunger", "QE1-996.5", "550", "Ecologie", "G\u00e9ologie et min\u00e9ralogie", "Ecology", "0207 environmental engineering", "Geology", "02 engineering and technology", "Evolution des esp\u00e8ces", "15. Life on land", "01 natural sciences", "[SDE.BE] Environmental Sciences/Biodiversity and Ecology", "Life", "13. Climate action", "QH501-531", "[SDE]Environmental Sciences", "14. Life underwater", "[SDE.BE]Environmental Sciences/Biodiversity and Ecology", "QH540-549.5", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://dipot.ulb.ac.be/dspace/bitstream/2013/279784/1/doi_263411.pdf"}, {"href": "https://doi.org/10.5194/bg-15-4459-2018"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-15-4459-2018", "name": "item", "description": "10.5194/bg-15-4459-2018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-15-4459-2018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-07-20T00:00:00Z"}}, {"id": "10.5281/zenodo.10060810", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:21:56Z", "type": "Dataset", "title": "SoilCompDB: Global soil compressive properties database. Version 1.0", "description": "Data collection and processing Our data collection comprised published journal articles sourced from Web of Science and Scopus databases, using search terms such as 'soil precompression stress,' 'soil compression index,' 'soil compaction index,' 'soil recompression index,' 'soil swelling index,' 'soil precompaction stress,' and 'preconsolidation pressure' for articles published up to February 2022. \u00a0A total of 1235 publications were found. Duplicate records were eliminated using the Endnote Web citation management application. The remaining references were exported to Rayyan software for title and abstract screening based on predefined criteria for full-text selection. \u00a0After a careful review, we identified 128 papers where the data on soil compressive properties (precompression stress, compression index, and swelling index) were reported in numerical format or legible graphical format and considered suitable for inclusion in the database. \u00a0We employed the WebPlotDigitizer software to extract data from figures within the original publications. For each chosen study, we systematically recorded data concerning soil compressive properties and collected information on soil properties, soil conditions, site characteristics, and experimental settings. We compiled 4,743 individual data entries. Time and place The database includes data from 128 independent studies published between 1992 and 2021. Each study reported between 1 and 360 measurements, with a study median of 14 measurements and a mean of 38 measurements, totalling 4743 database entries. Our database includes data from 20 countries, with a significant concentration of the data originating from Brazil, followed by Germany, Switzerland, Sweden, and Denmark. The majority of the data came from arable soils, representing approximately 72% of data entries.\u00a0\u00a0 Instruments The soil compressive properties included in the database were based on soil compressive tests performed in the laboratory by uniaxial method. The procedure used for stress application on soil samples was mainly the stepwise stress application method, while the constant strain rate method was applied in few studies (less than 2% of the data). The component of the compressive curve related to the soil packing state was represented by soil bulk density, void ratio, and strain. The stress component of the curve was represented in a logarithmic form in the entirety of the database. The database also comprised eight different methods for calculating precompresion stress: Casagrande (1936), Dias Junior and Pierce (1995), Lamand\u00e9 et al. (2017), Sullivan and Robertson (1996), Casini (2012), Culley and Larson (1987), Pacheco Silva (1990), Gregory et al. (2006). Resources Web of Science, Scopus \u2013 literature search Endnote Web \u2013 removal of duplicates Rayyan software \u2013 initial paper selection based on title and abstract WebPlotDigitizer \u2013 data extraction from figures Microsoft Access \u2013 database platform Description of the collected data (column, unit, and description) Sample ID-\u00a0\u00a0\u00a0 A unique identification number assigned to each individual sample within the database\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Study ID- Identification number assigned to each research study in the database Reference - Research paper reference Year - Year of research paper publication \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Language - Language of the research paper \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Soil classification (SiBCS) - Soil Classification according to the Brazilian System (SiBCS), as described in portuguese-language papers Soil classification (original in paper) - Soil classification described in research paper\u00a0 Soil classification (convertion to Soil Taxonomy orders) -\u00a0 Soil classification aligned with the Soil Taxonomy system developed by the United States Department of Agriculture (USDA)\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Location - Study location country\u00a0\u00a0\u00a0 Texture classification (USDA) -\u00a0Soil textural classification according USDA Texture\u00a0 classification USDA (letter code) - Letter code for soil textural classification according USDA: S=sand; LS=loamy sand; SL=sandy loam; SiL=silt loam; Si=silt; L=loam; SCL= Sandy clay loam; SiCL=Silty clay loam; CL=clay loam; SC=Sandy clay; SiC=Silty clay; C=clay Clay (USDA) - % - Soil clay content (weight based) - (<0.002 mm) \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Silt (USDA) - % - Soil silt content (weight based) - (0.002 < x < 0.05 mm, interpolated for European samples where needed using the k-nearest neighbor technique by Nemes et al. 2006)\u00a0 Sand (USDA) - % - Soil sand content (weight based)\u00a0 - (0.05 < x < 2 mm, interpolated for European samples where needed using the k-nearest neighbor technique by Nemes et al. 2006) USDA PSD interpolated - =0 if the data was NOT interpolated; =1 if the data was interpolated Published texture class - Texture classification provided in the source publication when the values for clay, silt and sand were not available Clay - g kg-1 - Soil clay content - original in the paper Clay class upper boundary - \u00b5m - The clay class upper boundary informed in source publication Silt - g kg-1 - Silt clay content - original in the paper Silt class upper boundary - \u00b5m - The silt class upper boundary informed in source publication Sand - Soil sand content - original in the paper Sand class upper boundary - \u00b5m - The sand class upper boundary informed in source publication Particle size data flag - =0 if no issues; =1 if there are issues (summing) Sum particle size- g kg-1 - Sum of clay, silt, and sand content Soil depth FROM \u2013 cm - When soil depth is presented as a range (e.g., 0-10cm), it indicates the minimum depth at which soil samples were collected\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Soil depth TO \u2013 cm - When soil depth is presented as a range (e.g., 0-10cm), it indicates the maximum depth at which soil samples were collected\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Depth \u2013 cm -Specific depth value as presented in paper, or when soil depth is showed as a range (e.g., 0-10cm), it indicates the average depth at which soil samples were collected (e.g 5cm) \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 SOC - g kg-1 - Soil organic carbon content informed in research paper or soil organic carbon content calculate from soil organic matter content by multiplying by 0,58\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 SOC converted from SOM - 1= yes for soil organic carbon derived from soil organic matter content calculations Particle density - Mg m-3 - Soil particle density\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Initial matric potential \u2013 hPa - Soil water matric potential before loading log Initial matric potential - Soil water matric potential expressed by log\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Wetness (based on initial matric potential) - \u00a01=if initial matric potential (MP)<100 hPa; 2= if 100<=initial MP<1000 hPa; 3= initial MP>=1000 hPa Initial gravimetric water content - g g-1 - Gravimetric soil water content before loading provided by source publication, or calculated by volumetric water content divided by soil bulk density Initial volumetric water content - m3 m-3 - Volumetric soil water content before loading, when the soil bulk density was not reported Initial water content data source -\u00a0Graph or table from where the data was collected, or explanation on calculation used Matric potential type - Compressive tests performed on soil samples under different conditions: 1= equilibrated at matric potential; 2= field matric potential; 3= air-dried samples\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Initial bulk density - Mg m-3 - Soil bulk density before loading\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Initial BD data source - Graph or table from where the data was collected, or explanation on calculation used\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Initial volumetric water content calculated - m3 m-3 - Soil volumetric water content calculated by multiplying soil gravimetric water content by soil bulk density Precompression stress \u2013 kPa - Precompression stress \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Precompression stress (SD) \u2013 kPa - Standard deviation for precompression stress values reported in paper\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Precompression stress data source - Graph or table from where the data was collected, or explanation on calculation used Compression index - Compression index \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Compression index (SD) - Standard deviation of compression index values reported in paper\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Compression index data source - Graph or table from where the data was collected, or explanation on calculation used Swelling index - Swelling index\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Swelling index (SD) - Standard deviation of swelling index values reported in paper\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Swelling index data source - Graph or table from where the data was collected, or explanation on calculation used N -\u00a0Number of replicates used for calculating precompression stress, compression index, and swelling index when mean values are reported Land use (paper) -\u00a0Land use described in the research paper Land use (categories) -\u00a0Land use categorized Land use standardized -\u00a0Land use classified as: arable, forest, grassland, and native vegetation. The latter includes forest, grassland, and savanna Land use (number code) -\u00a0Number code for land use: 1=Arable, 2= forest, 3= grassland, and 4= native vegetation Tillage system -\u00a0Tillage system Tillage system (arable soils) - Tillage system for arable soils classified as 'conventional' and 'conservation' Coordinates -\u00a0\u00a0Geographical coordinates\u00a0 of study location Climate -\u00a0Climatic region classification: temperate, tropical, subtropical Climatecod -\u00a0\u00a0\u00a0 Code number assigned to each climatic region: 1=temperate, 2=tropical, 3=subtropical Sampling position (paper) -\u00a0Field position where soil samples were collected with details described in the paper Sampling position -\u00a0Field position where soil samples were collected standardized Treatment -\u00a0Experimental treatment type where the soil samples were collected Stress rate - \u00a0kPa - Stress applied in compressive tests\u00a0 Minimum stress \u2013\u00a0kPa - Minimum stress applied in compressive tests Maximum stress \u2013\u00a0kPa - Maximum stress applied in compressive tests Number of stress rate steps -\u00a0Number of steps in stepwise stress application procedure Stess application type -\u00a01=Stepwise stress 2=one sample per stress 3=Strain controlled Stess application type \u2013\u00a0min - Time for stress application in each step in stepwise stress application procedure Degree of deformation at the end of loading -\u00a0% - Degree of deformation at the end of compressive test Sample diameter \u2013\u00a0cm - Diameter of the soil samples Sample height \u2013\u00a0cm - Height of the soil samples Ratio sample diameter and height\u00a0-\u00a0Ratio between diameter and height of the soil samples Sample volume -\u00a0cm3 -Sample volume when the sample diameter and height are nor presented Precompression stress calculation method -\u00a0Calculation method of precompression stress Precompression stress calculation method (number code) -\u00a0Number code for calculation method PC:1=Casagrande (1936); 2=Dias Junior and Pierce (1995); 3= Lamand\u00e9 et al. (2017); 4=O`Sullivan and Robertson (1996); 5=Casini (2012); 6=Culley and Larson (1987);7=ABNT (1990); 8=Gregory et al. (2006) Description of precompression stress calculation -\u00a0Brief explanation of precompression stress calculation Soil compressive curve components -\u00a0Component of the soil compression curve related to the soil packing state: soil bulk density, void ratio, and strain.\u00a0 Soil compressive curve components (number code) -\u00a0Number code for component of the soil compressive curve related to the soil packing state: 1= soil bulk density; 2= strain; 3= void ratio Curve components source -\u00a0Source of the component of the soil compressive curve related to the soil packing state: 1= showed in the paper, 2= according to original method for precompression stress calculation, 3= described in method, but not clear in the paper Compressive curve available -\u00a0Original soil compressive curve available in the paper: 1= No 2=Yes Comments -\u00a0Brief comments on the paper Issues and remarks We sought out important information not included in the paper by directly communicating with the authors whenever possible. In cases where multiple papers covered the same experiment, we prioritized the one offering more comprehensive details. If two papers complemented each other, we included both. When analyzing studies comparing various methods for calculating soil precompression stress, we exclusively gathered data calculated using the widely accepted Casagrande (1936) method. To ensure comparability across studies, we standardized the collected data by converting it to the same unit. The standardization process involved: i) assuming that 58% of soil organic matter (SOM) was soil organic carbon (SOC) when only SOM was reported, ii) calculating soil bulk density using a soil particle density of 2.65 Mg m-3 when only total porosity data were provided, and iii) harmonizing all texture data to the USDA classification system, which defines the silt/sand boundary as 50 \u03bcm, utilizing the k-nearest neighbor approach (referred to as 'similarity method' by Nemes et al. (1999). \u00a0 Reference Associa\u00e7\u00e3o Brasileira de Normas T\u00e9cnicas - ABNT. NBR 12007: Ensaio de adensamento unidimensional. Rio de Janeiro: 1990. Casagrande, A., 1936. Determination of the preconsolidation load and its practical significance. In: Proceedings of the International Conference on Soil Mechanics and Foundation Engineering, vol. III, Harvard University, Cambridge, MA, pp. 60\u201364.Casini, F. 2012. Deformation induced by wetting: A simple model. Can. Geotech. J. 49:954\u2013960 10.1139/T2012-054. doi:10.1139/t2012-054 Culley, J.L.B., Larson, W.E., 1987. Susceptibility to compression of a clay loam Haplaquoll. Soil Sci. Soc. Am. J. 51, 562\u2013567. Dias Junior, M.S., Pierce, F.J., 1995. A simple procedure for estimating preconsolidation pressure from soil compression curves. Soil Technology 8, 139\u2013151. doi:10.1016/0933-3630(95)00015-8 Gregory, A.S., Whalley, W.R., Watts, C.W., Bird, N.R.A., Hallett, P.D., Whitmore, A.P., 2006. Calculation of the compression index and pre-compression stress from soil compression test data. Soil Till Res. 89:45-57. doi:10.1016/j.still.2005.06.012 Lamand\u00e9, M., Schj\u00f8nning, P., Labouriau, R., 2017. A novel method for estimating soil precompression stress from uniaxial confined compression tests. Soil Sci. Soc. Am. J. 81 https://doi.org/10.2136/sssaj2016.09.0274. Nemes, A., \u00a0W\u00f6sten, J.H.M., Lilly, A., \u00a0Oude Voshaar, J.H., 1999. Evaluation of different procedures to interpolate the cumulative particle-size distribution to achieve compatibility within a soil database.\u00a0Geoderma 90: 187-202. 129\u00a0 O'Sullivan, M.F., Robertson, E.A.G., 1996. Critical state parameters from intact samples of two agricultural topsoils. Soil Tillage Res 39(3 \u2013 4):161 \u2013 173.", "keywords": ["2. Zero hunger", "soil compression curve", "precompression stress", "15. Life on land", "soil mechanical properties", "compression index", "soil moisture", "uniaxial compression test", "swelling index"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10060810"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10060810", "name": "item", "description": "10.5281/zenodo.10060810", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10060810"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-11-06T00:00:00Z"}}, {"id": "10.5281/zenodo.14002493", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:22:31Z", "type": "Report", "title": "Pedotransfer Functions Versus Model Structure: What Drives Variance in Agro-Hydrological Model Results?", "description": "Pedotransfer functions (PTFs) are widely used empirical relationships to estimate soil hydraulic parameters. PTFs are usually derived from point soil samples analysed in the field or laboratory; thus, they contain uncertainties at different levels (i.e., from sampling and measuring techniques, as well as empirical approaches chosen to quantify relationships). When PTFs are used to parametrize agro-hydrological models, both the choice of PTF and the choice of the model may influence the simulation results. Both sources of variance (PTF choice and model structural differences) were found to be relevant in previous studies, but how they relate to each other has rarely been investigated. In this study, we addressed this research gap by conducting a systematic analysis of the variance in selected agro-hydrological model outputs (i.e., seepage water, soil water content, actual evapotranspiration, transpiration, biomass production) based on an ensemble of 18 PTFs applied to four agro-hydrological models, namely: APEX, CANDY, DAISY and SWAP. The models were calibrated for aboveground biomass and phenology of silage maize and evaluated using data of actual evapotranspiration, seepage water and soil water content obtained from a lysimeter facility in Switzerland. ANOVA-based variance partitioning was applied to attribute variance in model outputs to two uncertainty sources (PTF choice, model choice). Overall, we found that agro-hydrological model structural differences had a larger influence on the variance in model outputs than PTF differences. Further analyses undertaken per model showed that the sensitivity of the simulated outputs to the choice of PTF differed between the models; our results showed that the models integrating the Richards equation (SWAP, DAISY) were more sensitive to the choice of PTF than those using a reservoir cascade approach (APEX, CANDY). Our results also showed that simulated outputs using the mean of a PTF ensemble performed better than when using a single PTF, irrespective of the model and output variable. We therefore recommend using PTF ensembles in agro-hydrological modelling studies. The benefit of using large PTF ensembles is, however, likely to be reduced in larger ensembles of agro-hydrological models, as structural model uncertainties will dominate over PTF uncertainties, according to the four-member model ensemble investigated here.", "keywords": ["CANDY", "seepage", "DAISY", "model ensemble", "lysimeter", "SWAP", "evapotranspiration", "soil water", "APEX", "yield"], "contacts": [{"organization": "Turek, Maria Eliza, Pullens, Johannes, Meuer, Katharina, Moura-Lima, Edberto, Bano Mehdi-Schulz, Bano, Holzk\u00e4mper, Annelie,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14002493"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14002493", "name": "item", "description": "10.5281/zenodo.14002493", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14002493"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-03-17T00:00:00Z"}}, {"id": "10.5281/zenodo.14044657", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:22:33Z", "type": "Dataset", "title": "SERENA EJPSOIL BE Flanders soil sealing cookbook", "description": "Open AccessThe internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national and European scales.The data was prepared according to the Level 2 methodology of the SERENA soil sealing cookbook. For Belgium, the application was carried out at the regional scale for the Flanders region. \u00a0The automatically generated yearly soil sealing maps (1 m resolution GeoTIFF rasters)\u00a0combine \u201cknown\u201d sealing from administrative databases (buildings and transport infrastructure) with modelled sealing based on artificial intelligence. Administrative databases do not (adequately) cover parking lots, private driveways and garden terraces, which are a substantial part of the sealed area in Flanders. Hence, a machine learning model was built for deriving this remaining sealing from aerial imagery. For this purpose, an assessor manually labeled the sealed parts on a subset of the images. Based on this training set, a convolutional neural network model was used to produce a sealing probability map, which was converted to a binary modelled sealing map. Finally, a continuity correction was applied to ensure a temporally consistent result across the yearly maps. \u00a0The objective of the SERENA project was to develop methods to calculate and map soil-based ecosystem services and soil threats. The selected indicator was the degree of soil sealing. By evaluating this degree at two moments in time, the change in soil sealing can be determined. \u00a0\u00a0The following data were used:\u00a0         Large-scale Reference Database (Grootschalig Referentiebestand or Basiskaart), the digital topographic reference map for Flanders (vector)\u00a0           Medium-scale annual winter aerial images of Flanders (15 or 25 cm raster resolution)    This dataset is originally hosted at Geopunt (www.geopunt.be). For the most up-to-date version of the dataset, please access the data from the Geopunt repository.", "keywords": ["soil sealing", "remote sensing", "BELGIUM (FLANDERS)", "aerial images", "SERENA", "EJP-Soil", "photointerpretation"], "contacts": [{"organization": "Cockx, Kasper, Oorts, Katrien,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14044657"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14044657", "name": "item", "description": "10.5281/zenodo.14044657", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14044657"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-30T00:00:00Z"}}, {"id": "10.5281/zenodo.15277024", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:23:00Z", "type": "Dataset", "title": "Management of rice straw in rice-soybean succession in tropical lowland", "description": "This study aims to investigate alternative management practices for rice straw in tropical lowland rice-soybean systems. The goal is to twofold:\u00a0 first, to identify methods that maximize the yield of the subsequent soybean crop, and second, to quantify the effects of these practices on soil properties. 'Ten treatments (below) consisting of a combination of rice straw management (burning, removal and incorporation with disc harrow, leveling disc harrow, and knife-roller) with soybean sowing (no-tillage and conventional) were evaluated in a completely randomized design, with six replications. The disc harrow operated at 0.20-0.25 m, the leveling disc harrow at 0.10 m, and the knife-roller at 0.13 m depth. The total plot area was 600 m2 (10 m wide and 60 m long).  \u00a0  Tillage treatments were:  Burning (M1)  Straw removal (M2)  Incorporation with one pass of a disc harrow (GA) and two (M3) or three (M4) passes of a leveling harrow (GN)  Incorporation with one pass of a roller knife (RF) and no-till soybean planting (M5)  Incorporation with one pass of RF and two (M6) or three (M7) passes of GN  Incorporation with two passes of RF and no-till soybean planting (M8)  Two (M9) or three (M10) passes of GN.' 'Grain yield was determined in an area of 2.55 m\u00b2, corresponding to six 2.5 m rows spaced 0.17 m apart, which was expressed in kg ha-1, after moisture was adjusted to 13%.  \u00a0  The yield components were determined: the number of panicles in one meter of the planting row; plant height, measured from the soil level to the tip of the panicle in five tillers. The HI was obtained by the ratio between grain yield and total dry matter in 1 m2. The number of grains and empty spikelets in ten panicles and the mass of 100 grains. The determination of the industrial quality of grains in 100 g samples of processed seeds. Rice and soybean grain yields were determined annually and the cumulative yields of these crops were calculated.' The experimental design is completely randomized, with six replicates. '2015 and 2017: 0-10, 10-20cm  2023: 0-10, 10-20, 20-30, 30-40cm' 'This study investigated the following chemical properties of the soil: pH, and the levels of calcium (Ca2+), magnesium (Mg2+), hydrogen (H+), aluminum (Al3+), phosphorus (P), potassium (K+), copper (Cu2+), zinc (Zn2+), iron (Fe3+), manganese (Mn2+), and organic matter.  \u00a0  -Soil pH was measured in water.  -Calcium and magnesium were extracted using a 1 molar potassium chloride (KCl) solution and then analyzed by atomic absorption spectroscopy.  -Potential acidity (the combined amount of hydrogen and aluminum) was determined through titration with a 0.5 molar calcium acetate solution at a pH of 7.  -Phosphorus, potassium, and micronutrients were extracted with Mehlich 1 solution (a mixture of 0.5 N hydrochloric acid (HCl) and 0.025 N sulfuric acid (H2SO4)) and analyzed by inductively coupled plasma atomic emission spectroscopy.  -Soil organic matter (SOM) was estimated by multiplying the total organic carbon content of the soil by 1.724. This calculation was based on the chromic acid titration method.  \u00a0  The specific methods used for these analyses were referenced from Teixeira et al. (2017) and Soltanpour et al. (1996).' '2015 and 2017: 0-10, 10-20cm  2023: 0-10, 10-20, 20-30, 30-40cm  \u00a0  - In 2015 and 2017, soil organic carbon content was estimated indirectly by measuring soil organic matter (SOM) using the chromic acid titration method (Teixeira et al., 2017). The total soil organic carbon content was obtained by multiplying the SOM by a factor of 1.724.  - In 2023, soil organic carbon content was measured directly using dry combustion with Total Organic Carbon (TOC) analysis.  - Soil carbon stocks were calculated using soil bulk density. A volumetric ring was used to determine the bulk density at different depths (0-10 cm, 10-20 cm, 20-30 cm, and 30-40 cm). Since bulk density varied between treatments, estimates of soil organic carbon stocks (in Mg ha-1) were based on equivalent soil masses (Sisti et al., 2004).' The following soil physical properties were measured: bulk density, total porosity, microporosity, and macroporosity. Additionally, plant available water capacity was determined following the method of Teixeira et al. (2017). The S index, an indicator of soil physical quality, was calculated based on Dexter (2004). Finally, air capacity (AC) was assessed using the method outlined by Reynolds et al. (2002). Clay loam texture '-Sample collection: Soil samples for biological properties were collected at a depth of 0-10 cm.  \u00a0  -Enzyme analysis: Betaglucosidase, aryl-sulfatase, and acid phosphatase activities were determined following the methods described by Tabatabai (1994) as modified by Lopes (2013). The analysis was performed using dried air-sampled soil.'", "keywords": ["Field crops", "plintossolo", "Plinthosol", "culturas de campo"], "contacts": [{"organization": "Ananias Soler da Silva, Mellissa, Ba\u00eata dos Santos, Alberto,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15277024"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15277024", "name": "item", "description": "10.5281/zenodo.15277024", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15277024"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-04-16T00:00:00Z"}}, {"id": "10.5281/zenodo.15328215", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:23:01Z", "type": "Dataset", "title": "1000 Soils Pilot Dataset, version 8, May 2025", "description": "This record hosts data generated by the 1000 Soils Pilot. Data will be updated as more become available. Please see the most recent data upload for current data.  A beta visualization tool is available for some data types at\u00a0https://shinyproxy.emsl.pnnl.gov/app/1000soils. Please submit any suggestions or comments through the 'contact' tab. We are actively working to improve visualizations and value all feedback.  Data completed include:    Geochemistry, texture, respiration, and enzyme activities  FTICR-MS organic matter chemistry  Microbial biomass C and N  TOC/TDN of water-extractable OM  X-ray computed tomography (derived metrics available here, raw data available upon request)  Metagenomes; a variety of data formats are available upon request  Soil hydraulic properties   Data in progress:    LC-MS/MS in development, timeline TBD, inquire for status   1000S_processed_BGC_summary.csv contains all available biogeochemical data; microbial biomass C and N; and TOC/TDN of water-extractable OM; and\u00a0  1000S_Tomography.xslx contains a summary of data generated via X-ray computed tomography.  icr_v2_corems2.csv contains FTICR-MS data processed by CoreMS version 2. These data are merged by formula across instrument runs to enable cross-sample comparisons. Technical replicates are merged by retaining peaks present in 2 out of 3 replicates.  1000Soils_Metadata_Site_Mastersheet_v1.csv contains site information.  Soil Hydraulics_corrected_02042025.xlsx contains soil hydraulics information.  Readme File_v4.xlsx is the readme file.  Please contact the MONet project (monet.emsl@pnnl.gov) or Emily Graham (emily.graham@pnnl.gov) with questions.  The following file and all raw data are\u00a0available upon request:  icr_by_mass_for_single_sample_analysis_only.csv\u00a0contains FTICR-MS data processed by CoreMS and is intended for usage in the calculation of biochemical transformations within samples only. These data are not acceptable for cross-sample comparison of masses because they are from multiple instrument runs.  For more information, please see: https://www.emsl.pnnl.gov/monet and https://sc-data.emsl.pnnl.gov/monet  Acknowledgment:\u00a0  Soil data were provided by the Molecular Observation Network (MONet) at the Environmental Molecular Sciences Laboratory (https://ror.org/04rc0xn13), a DOE Office of Science user facility sponsored by the Biological and Environmental Research program under Contract No. DE-AC05-76RL01830. The work (proposal: 10.46936/10.25585/60008970) conducted by the U.S. Department of Energy, Joint Genome Institute (https://ror.org/04xm1d337), a DOE Office of Science user facility, is supported by the Office of Science of the U.S. Department of Energy operated under Contract No. DE-AC02-05CH11231.\u00a0  The Molecular Observation Network (MONet) database is an open, FAIR, and publicly available compilation of the molecular and microstructural properties of soil. Data in the MONet open science database can be found at\u00a0https://sc-data.emsl.pnnl.gov/.", "keywords": ["2. Zero hunger", "decomposition", "13. Climate action", "FTICR-MS", "biogeochemistry", "carbon", "molecular", "15. Life on land", "6. Clean water", "soil"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15328215"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15328215", "name": "item", "description": "10.5281/zenodo.15328215", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15328215"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-05-02T00:00:00Z"}}, {"id": "10.5281/zenodo.15395350", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:23:03Z", "type": "Dataset", "title": "NSW 25-ha Drone Survey Grid", "description": "NSW 25-ha Drone Survey Grid   This repository provides a 25-hectare (500m x 500m) resolution spatial grid for New South Wales.  This grid layer was used to align systematic drone surveys and spatially structure binomial N-mixture models for estimating the abundance of koalas at the landscape-scale. It supports presence/absence and abundance frameworks and is suitable for use in large-scale ecological monitoring programs.  The grid was used in the following study:    Ryan, S.A., Southwell, D.M., Beranek, C.T., Clulow, J., Jordan, N.R., Witt, R.R., 2025.\u00a0Estimating the landscape-scale abundance of an arboreal folivore using thermal imaging drones and binomial N-mixture modellingBiological Conservation. Manuscript ID: 111207. https://doi.org/10.1016/j.biocon.2025.111207   \ud83d\udcd8 Abstract  Estimating the abundance of wildlife populations at a landscape-scale is vital for conservation, but is often hampered by survey costs, data processing and imperfect detection. In this study, we developed a framework that combines a protocol for validating nocturnal thermal drone detections in real-time with N-mixture modelling to estimate the landscape-scale abundance of arboreal folivores. As a case study, we estimated the abundance of koalas (Phascolarctos cinereus) across seven reserves (673 km\u00b2) in New South Wales, Australia. We conducted thermal drone surveys of 208, 25-ha sites stratified across vegetation type and fire history, on average, three times over consecutive nights (range 1\u201312 repeats), between 18:00\u201304:00 h (May to September). All koala detections were validated by field personnel or in real-time with drones equipped with a thermal camera and searchlight. Koalas were detected on 245 occasions. We fitted N-mixture models to validated repeat count data to quantify the effect of site and observation variables on abundance and detectability. Using our top set of competing models, we estimated that 4357 koalas (95 % CI = 2319\u20138307) occupy the seven reserves, with a mean detection probability of 0.22 (95 % CI = 0.15\u20130.31) over all survey occasions. We found detection probability decreased with increases in relative humidity and temperature. Koala abundance was negatively associated with fire severity, elevation, tree height and soil clay content, and positively associated with available water content, forest cover and soil organic carbon. Our framework, which combines real-time field validated drone data while accounting for imperfect detection, improves the accuracy of abundance estimates for arboreal folivores across large-scales.    \ud83d\udcc2 Contents     Grid_Albers_00500m_NSW_Polys.shp and associated filesA shapefile representing 25-ha (500 m \u00d7 500 m) grid cells across New South Wales.     \ud83d\uddfa\ufe0f Spatial Details     CRS: GDA94 / Australian Albers (EPSG:3577)  Geometry Type: Polygon  Cell Size: 500 m \u00d7 500 m (25 hectares)  Total Features: 3,222,693  Attribute Fields: Id (unique cell identifier)  Bounding Box (minx, miny, maxx, maxy):(826250.0, \u20134212250.0, 2082750.0, \u20133181250.0)     \u2705 Intended Applications     Thermal drone survey planning  Spatial alignment of repeatable wildlife monitoring  Koala and arboreal mammal detection  Binomial or Poisson N-mixture model design  Landscape-scale ecological stratification     \u26a0\ufe0f Data Use and Licensing   This grid layer was provided by Allen Mcilwee (NSW Government) and is published with permission as open-access supplementary material to support the following paper:    Ryan, S.A., Southwell, D.M., Beranek, C.T., Clulow, J., Jordan, N.R., Witt, R.R. (2025)Estimating the landscape-scale abundance of an arboreal folivore using thermal imaging drones and binomial N-mixture modellingBiological Conservation. Manuscript ID: 111207. https://doi.org/10.1016/j.biocon.2025.111207   The dataset is made available to support open ecological research and systematic drone survey planning in New South Wales.\u00a0  Users applying this grid for survey or monitoring purposes in NSW are encouraged to submit resulting species detection records to NSW BioNet to contribute to state-wide biodiversity data and conservation efforts.", "keywords": ["spatial grid", "wildlife monitoring", "25-ha grid", "New South Wales", "koala", "spatial layer", "thermal drone survey", "abundance modelling"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15395350"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15395350", "name": "item", "description": "10.5281/zenodo.15395350", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15395350"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-06-04T00:00:00Z"}}, {"id": "10.5281/zenodo.15680931", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:23:10Z", "type": "Journal Article", "created": "2025-06-15", "title": "Investigating the extent of PFAS contamination in the Upper Danube Basin across environmental compartments", "description": "Abstract                        Background             <p>Per- and polyfluoroalkyl substances (PFAS) are emerging organic pollutants widely detected in environmental systems, posing risks to human health and the ecosystem. Despite increasing efforts to monitor PFAS in river systems, knowledge gaps remain regarding sources and emissions via different pathways. This study investigates PFAS contamination across multiple environmental compartments in the Upper Danube Basin, including surface water, groundwater, wastewater, landfill leachate, surface runoff, and atmospheric deposition. The primary objectives are to assess the extent of PFAS contamination, identify key emission sources and transport pathways, and evaluate associated risks in terms of the potential exceedance of current and proposed environmental regulatory thresholds in the European Union.</p>                                   Results             <p>The findings reveal a widespread presence of PFAS, with PFOA, PFOS and short-chain compounds being predominant. The Alz River and Gendorf chemical park emerge as hotspots with far-reaching effects downstream, contributing significantly to diffuse legacy contamination of PFOA and being a significant source of two industrial PFOA substitutes, ADONA and GenX. Wastewater treatment plants, old municipal landfills, and sites with a history of fire-fighting foam application are identified as key pathways or sources of legacy pollution, exhibiting higher concentrations compared to the other matrices. Notably, no significant removal is observed when comparing influent and effluent samples from conventional WWTPs. The study further demonstrates that groundwater is vulnerable to contamination from point sources and to infiltration from rivers, with bank filtration proving largely ineffective in preventing PFAS contamination.</p>                                   Conclusions             <p>The study underscores the necessity for source and pathway control measures to mitigate PFAS pollution, the implementation of advanced treatment technologies to safeguard drinking water and surface water quality, and targeted remediation for legacy soil and groundwater contamination. Additionally, strong use regulations should be explored to minimize ongoing emissions. The multi-compartment monitoring proves to be a crucial approach to understand the complexity of PFAS distribution at the catchment scale. Comparative analysis and risk assessment highlight challenging situations for water management, offering an indispensable basis for emission modeling as a next step for quantitative assessment of the relevance of different sources and pathways for surface water pollution.</p>", "keywords": ["Emerging contaminants", "Emerging Pollutants", "PFAS", "Source identification", "Watershed management", "Environmental sciences", "Emission", "Water Framework Directive", "Environmental law", "Water pollution", "GE1-350", "K3581-3598", "Catchment monitoring", "Environmental Monitoring"]}, "links": [{"href": "https://link.springer.com/content/pdf/10.1186/s12302-025-01141-6.pdf"}, {"href": "https://doi.org/10.5281/zenodo.15680931"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Sciences%20Europe", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15680931", "name": "item", "description": "10.5281/zenodo.15680931", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15680931"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-06-15T00:00:00Z"}}, {"id": "10.5281/zenodo.15781488", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:23:12Z", "type": "Report", "title": "Results of stakeholder surveys on preferred NSWRM implementation plans. Deliverable D5.3 of the EU Horizon 2020 project OPTAIN.", "description": "Deliverable report D5.3 of the EU Horizon 2020 Project OPTAIN (Grant agreement No. 862756)    The objective of this deliverable is to convey OPTAIN\u2019s optimisation approach, methodologies and results to stakeholders of each case study\u2019s Multi-Actor Reference Groups. More importantly, it will create a common understanding of the potential of the NSWRMs for improving water and nutrient retention in the CS, as well as of the associated trade-offs such as costs and potential reductions in crop production. Finally, this task will determine those NSWRM implementation plans preferred by individual actors using the tool, ParetoPick-R, developed in the previous task 5.3. This sets the stage for the subsequent in-depth, cross-sectoral discussion about a spatially targeted implementation of NSWRM.    Summary\u00a0  This deliverable from the EU Horizon 2020 OPTAIN project presents the results from stakeholder interviews across eleven European case studies, focusing on the identification of preferred implementation plans for Natural/Small Water Retention Measures (NSWRMs).\u00a0It builds on the modelling and multi-objective optimisation workflows employed in OPTAIN, which explored numerous options for potential measure implementation optimised for environmental and economic objectives.  Stakeholders of each case study\u2019s Multi-Actor Reference Groups (MARG) participated in structured interviews. Using the interactive ParetoPick-R app, they developed a common understanding of the potential of NSWRMs and explored trade-offs among four optimisation objectives, such as water/nutrient retention, crop production, and cost. They then selected their preferred implementation plans based on weights assigned to each objective and filter options applied to the solution space.  Key Findings:    Trade-offs & preferences: Stakeholders' preferences varied significantly across sectors and case studies. Agricultural actors typically prioritised crop production and cost-efficiency, while those in the water and nature conservation sectors leaned towards environmental benefits.  Common measures: Frequently preferred NSWRMs included soil and/or crop management measures, followed by greening measures and engineered solutions.  Feasibility issues: Technical feasibility, land ownership, and institutional hurdles (e.g., need for permits) influenced stakeholder choices.  Tool feedback: The ParetoPick-R tool was generally well-received for visualising trade-offs and supporting decision-making. However, some users found it too complex and suggested improvements in usability, guidance, and map functionality.   This deliverable D5.3 sets the foundation for the final MARG workshops in the case studies, which will seek to negotiate compromise solutions that are acceptable to all actors. The report underscores the importance of participatory modelling tools and multi-sector engagement in water and land management planning.", "keywords": ["multiobjective optimisation", "trade-offs", "NSWRM", "agricultural production", "H2020", "OPTAIN", "SWAT", "NWRM", "stakeholder", "water retention"], "contacts": [{"organization": "Strauch, Michael, Wittekind, Cordula,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15781488"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15781488", "name": "item", "description": "10.5281/zenodo.15781488", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15781488"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-07-01T00:00:00Z"}}, {"id": "10.5281/zenodo.15797289", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:23:12Z", "type": "Dataset", "title": "Database of soil characteristics under specific pesticide management", "description": "Database of soil characteristics under specific pesticide management  Contributors: Mark\u00e9ta Mayerov\u00e1 and Veronika \u0158ez\u00e1\u010dov\u00e1  Affiliation: Czech Agrifood Research Center, Drnovsk\u00e1 507/73, CZ-160 00 Prague 6, Czech Republic  Database of soil characteristics will contribute to the realization of the project\u00b4s goal to identify appropriate and inappropriate pesticides from the point of the view of their impact on the non-target organisms and soil characteristics.  Field I.  The field experiment was established in 2024 in the experimental area of the Czech Agrifood Research Center in Prague \u2013 Ruzyn\u011b (previously Crop Research Institute). The experiment took place at the site of the experiment that had been running there since 2013 and included 5 different herbicide treatments in 4 replications (Mayerov\u00e1 et al. 2018)  The new trial area was split into 20 randomised plots with 2 different herbicide treatments in 8 replications and control without herbicides in 4 replications. Herbicide treatments differed in the mode of action (Table 1)  Table 1. Summary of the herbicides and active ingredients used in the trial. Classification Group by Herbicide Resistance Action Committee (HRAC).       herbicide     dose    formulation    active ingredient    content of a.i.    HRAC group    target weeds      Agritox 50 SL    1.5 l/ha    EC    MCPA    500 g/l    O    dicot      Glean 75 PX    15 g/ha    WG    chlorsulfuron    750 g/l    B    dicot + annual grasses       \u00a0  The area of each plot was 100 m2 and the 10 by 10 m plots were separated from field boundaries and from each other by 2 m on all sides to eliminate interaction between plots. Herbicides were applied post emergency in spring (April 26, 2024) from the tillering crop stage to the beginning of stem elongation (BBCH 21\u201331) by the Agrio-Napa 12 sprayer. Winter wheat was grown in the experimental field in 2024. At the beginning of March, it was mineral fertilized with LAD (ammonium nitrate with dolomite - NH4NO3\u00a0+\u00a0CaMg (CO3)2; 27 % N) at a dose 100 kg/ha.   Mixed disturbed soil samples for microbiological and physicochemical analyses were taken from the 0-15cm upper soil layer in each replication before herbicide application (April 24, 2024), 14 days after herbicide application (May 9, 2024) and 7 weeks after herbicide application (June 14, 2024). \u00a0A total of 20 soil samples were collected at each sampling. The soil samples were subsequently dried and sieved through a 2 mm sieve, thus simultaneously homogenised. The following soil properties were determined: pH (H2O), electric conductivity, available P and K, concentration NH4 and NO3, soil organic carbon, and total organic nitrogen content. Available P and K were assessed according to the Mehlich III method (Mehlich, 1984) on an Agilant ICP-OES 5110 VDV instrument. NO3 and NH4 were determined using calcium chloride solution as extractant according to ISO 14255:1998 on automated chemistry analyser SKALAR. Soil organic carbon and soil organic matter content were determined by sulfochromic oxidation according to ISO 14235:1998.   Field II  The field experiment was established in 2024 in the experimental area of the Czech Agrifood Research Center in Prague \u2013 Ruzyn\u011b (previously Crop Research Institute). The total area of the experiment is about 11 ha including the protective area around the entire experiment. The experimental area is divided into two halves, 120m wide and 300m long.\u00a0 One half was treated on June 17, 2024, with insecticide Decis forte (active ingredient deltamethrin) at a dose 62.5ml/ha, the other half was without insecticide treatment. Both areas are further divided into other halves. One half was treated on May 15, 2024, with herbicide Agritox (active ingredient MCPA) at a dose 1.5l/ha, the other was treated with hoeing only. We thus obtained 4 strips 60m wide with following treatment combinations: (A) herbicide + insecticide; (B) hoeing + insecticide; (C) hoeing; (D) herbicide. Spring wheat was grown in the experimental field in 2024. It was fertilized with mineral nitrogen at a dose of 150 kg N/ha before sowing and with 39 kg N/ha (DAM 390 - ammonium nitrate with urea) in the tillering phenophase.  In the middle of each strip (i.e. treatment), 8 sampling sites were marked in a row, 20 m apart from each other. Mixed disturbed soil samples for microbiological and physicochemical analyses were taken from the 0-15cm upper soil layer at each sampling site 14 days after herbicide application and 14 days after insecticide application. A total of 32 soil samples were collected at each sampling. Further sample processing was the same as for Field I.  The database will be gradually supplemented in the following years.   Funding: Development for this work is funded primarily by the Technology Agency of the Czech Republic, project SS07020100: \u201cThe impact of plant protection products on non-target biodiversity: soil microorganisms, invertebrates and wild plants\u201d, and the Ministry of Agriculture of the Czech Republic, institutional support MZE-RO0425.  The database was approved on September 2, 2025, by the Ministry of Agriculture of the Czech Republic.  References:  Mayerov\u00e1 M., Mikulka J., Soukup J. (2018): Effects of selective herbicide treatment on weed community in cereal crop rotation. Plant Soil Environ., 64: 413\u2013420. https://doi.org/10.17221/289/2018-PSE  \u00a0Mehlich A. (1984): Mehlich 3 Soil Test Extractant. A Modification of the Mehlich 2 Extractant. Commun. Soil Sci. Plant Anal. 15, 1409-1416. http://dx.doi.org/10.1080/00103628409367568.", "keywords": ["field trial", " herbicides", " insecticides", " soil properties"], "contacts": [{"organization": "Mayerov\u00e1, Mark\u00e9ta, \u0158ez\u00e1\u010dov\u00e1, Veronika,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15797289"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15797289", "name": "item", "description": "10.5281/zenodo.15797289", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15797289"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-07-03T00:00:00Z"}}, {"id": "10.5281/zenodo.5574882", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:23:30Z", "type": "Report", "created": "2020-03-09", "title": "Hyperspectral imaging for high resolution mapping of soil profile organic carbon distribution in an Austrian Alpine landscape", "description": "<p>         &amp;lt;p&amp;gt;Studies on soil organic carbon (SOC) stocks mostly focus on topsoils (&amp;lt; 30 cm). However, 30 to 63% of the SOC are stored in the subsoils (30 to 100 cm), and the factors controlling SOC storage in subsoils may be substantially different than in topsoils. The low mean SOC content in subsoils makes its quantification and characterization challenging. Thus, new approaches are required to depict the SOC stocks distribution in full soil profile. Hyperspectral imaging of soil core samples can provide high spatial resolution of the vertical distribution of SOC in a soil profile. The main objective of the ongoing study, within the Horizon 2020 European Project Circular Agronomics, is to apply laboratory hyperspectral imaging with a variety of machine learning approaches for the mapping of OC distribution in undisturbed soil cores. Soil cores were collected down to a depth of one meter in grasslands of 15 organic farms located in the Lungau Valley, in Austria. Some samples were divided into five depths in the field for classical bulk soil measurements (total carbon and nitrogen, texture, pH, EC and bulk density) on disturbed samples. Undisturbed soil cores were sliced vertically for laboratory hyperspectral imaging in the range of Vis-NIR (400-1000 nm). We were able to reveal the hotspots of OC and map the OC distribution in soil profile by applying a variety of machine learning approaches (i.e. partial least square and random forest regression) as a function of spectral responses. A digital elevation model was further exploited to investigate the effects of topographical factors such as elevation, aspect and slope on SOC profile distribution. Landsat 8 data were also used to depict the spatial variability of land insensitive cover/vegetation in study area.&amp;lt;/p&amp;gt;         </p>", "keywords": ["2. Zero hunger", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "Vis-NIR imaging spectroscopy", " Alpine grassland", " Digital elevation model", " Subsoils"], "contacts": [{"organization": "YASER OSTOVARI, K\u00f6ppend\u00f6rfer, Baptist, Guigue, Julien, Van Groenigen, Jan Willem, Creamer, Rachel, Guggenberger, Thomas, Grassauer, Florian, Hobley, Eleanor, Ferron, Laura, Martens, Henk, K\u00f6gel-Knabner, Ingrid, Vidal, Alix,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.5574882"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.5574882", "name": "item", "description": "10.5281/zenodo.5574882", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.5574882"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-03-23T00:00:00Z"}}, {"id": "10.5281/zenodo.6202061", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:23:32Z", "type": "Dataset", "title": "Bias-corrected EURO-CORDEX RCM simulations for the OPTAIN case studies", "description": "Open AccessBias-corrected EURO-CORDEX RCM simulations are available on a daily timescale for: -period 1981-2099/2100, -6 RCM, -3 scenarios (RCPs 2.6, 4.5 and 8.5), -7 variables (mean, minimum and maximum temperature, precipitation, solar radiation, wind speed at 2 m and relative humidity) and -18 domains and 23 locations within these domains. Bias correction and further downscaling to 0.1\ufffd\ufffd was done using ERA5-Land reanalysis data with non-parametric empirical quantile mapping. Moreover, the interpolation of gridded bias-corrected climate model simulations to the locations was made using universal kriging. <strong>Organization of the data</strong> The name of the files are <em>domain</em>-<em>type</em>.zip, where <em>type</em> is gridded (NetCDF) or point (csv). Each zip file contains multiple files, organized in subfolders: <em>experiment</em>/<em>modelNumber</em>/<em>variable</em>.nc for gridded and <em>experiment</em>/<em>modelNumber</em>/<em>variable-pilotFieldNumber</em>.txt for point data, where <em>experiment </em>is rcp26, rcp45 or rcp85. <em>domain and pilotFieldNumber</em> <strong>domain</strong> <strong>domain </strong><strong>location (min and max. Longitude, min and max latitude</strong><strong>)</strong> <strong>pilotFieldNumber</strong> <strong>pilot field </strong><strong>location (longitude, latitude)</strong> <strong>case study</strong><strong> number</strong> <strong>country</strong> <strong>Name (OPTAIN case study)</strong> 01 50.95 51.45 14.55 15.05 1 DEU Schoeps 02 46.35 47.05 6.55 7.15 2 46.816667 6.95 2 CHE Petite Glane 02_1 46.75 47.25 7.25 7.75 1 46.983333 7.466667 02_34 47.35 47.85 8.35 3 4 47.433333 8.516667 47.683333 8.616667 02_5 46.15 46.65 5.95 6.45 5 46.4 6.233333 03a 46.65 47.15 17.45 17.95 1 2 3 4 46.92649 17.68246 46.9166 17.68976 46.91283 17.69754 46.91283 17.69723 3a HUN Csorsza 03b 46.45 46.95 16.65 17.15 3b HUN Felso Valicka 04 52.35 52.85 18.45 18.95 1 52.597469 18.728617 4 POL Upper Zglowiaczka 05 46.35 46.85 15.35 15.85 5 SVN Pesnica 06 46.45 46.95 16.15 16.65 6 HUN/SVN Kebele/Kobiljski 07 49.85 50.35 4.75 5.25 7 BEL La Wimbe 08 55.15 55.75 23.55 24.05 1 2 55.522057 23.799235 55.42233194 23.82580339 8 LTU Dotnuvele 09 45.45 45.95 9.65 10.15 9 ITA Cherio 10 59.45 59.95 10.75 11.25 1 2 3 4 5 6 7 8 59.71949 10.83576 59.6833306 10.8833298 59.6833306 10.8833298 59.665 10.9475 59.665 10.9475 59.841012 10.903597 59.757631 11.072031 59.539623 10.856447 10 NOR Krogstad 11 46.45 46.95 17.55 18.05 1 2 46.658333 17.75583 46.656944 17.75833 11 HUN Tetves 12 49.35 49.85 14.75 15.25 1 49.616837 15.078266 12 CZE Cechticky 13 55.85 56.35 25.85 26.45 13 LVA Dviete 14 59.75 60.25 17.55 18.05 14 SWE Ingvastaan Lehstaan <em>modelNumber</em> <strong>modelNumber</strong> <strong>Driving Model (GCM)</strong> <strong>Ensemble</strong> <strong>RCM </strong> <strong>End date</strong> 1 EC-EARTH r12i1p1 CCLM4-8-17 31.12.2100 2 EC-EARTH r3i1p1 HIRHAM5 31.12.2100 3 HadGEM2-ES r1i1p1 HIRHAM5 30.12.2099 4 HadGEM2-ES r1i1p1 RACMO22E 30.12.2099 5 HadGEM2-ES r1i1p1 RCA4 30.12.2099 6 MPI-ESM-LR r2i1p1 REMO2009 31.12.2100 <em>variable</em> <strong>variable</strong> <strong>description</strong> <strong>Unit</strong> Tmean Mean temperature \ufffd\ufffdC Tmin Min temperature \ufffd\ufffdC Tmax Max temperature \ufffd\ufffdC prec Precipitation mm solarRad Solar radiation MJ/m2 windSpeed Wind speed at 2m m/s relHum Relative humidity % <strong>Methodolody</strong> Bias correction was done using non-parametric empirical quantile mapping with modified method from R package qmap. Parameters selected were: corrections for each day of the year using a moving windows for a 31 days; 100 quantiles; wet days corrections for precipitation. The reference period is 1981-2010. The interpolation of gridded bias-corrected climate model simulations to the location was made using universal kriging with R packages automap and gstat with (external) variables x, y, x2, y2, x*y, z, where x is latitude, y is longitude, and z is elevation. For Digital Elevation Model Shuttle Radar Topography Mission was used. If there was an error using above mentioned variables, the number of variables was reduced to x, y, x*y, z and if there was still an error to x, y, z. <strong>Funding</strong> This project has received funding from the European Union\ufffd\ufffd\ufffds Horizon 2020 research and innovation programme under grant agreement No 862756.", "keywords": ["CORDEX", "13. Climate action", "RCM", "ERA5-Land", "OPTAIN", "EURO-CORDEX", "bias correction"], "contacts": [{"organization": "Honzak, Luka", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6202061"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6202061", "name": "item", "description": "10.5281/zenodo.6202061", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6202061"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-02-21T00:00:00Z"}}, {"id": "10.5281/zenodo.7856487", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:23:45Z", "type": "Dataset", "title": "HiLSS Project", "description": "This\u00a0repository is periodically updated.   Historic Landscape and Soil Sustainability (MSCA-IF-2019 - Individual Fellowships)   The HiLSS Project aims to investigate the relationships between sustainability and landscape heritage with particular reference to soil loss and degradation over the long term. The project will take a multidisciplinary approach that combines archaeology, Historical Landscape Characterisation (HLC), geosciences, and computer-based geospatial analysis (GIS - Geographical Information Systems) and modelling (RUSLE - Revisited Universal Soil Loss Equation). The research objectives of the HiLSS project are to quantify the impact of human activities during the Late Holocene in order to create spatial models which can inform the development of sustainable conservation strategies for rural landscape heritage. This project will focus on two mountainous regions that present historical and cultural similarities but located in different climatic zones of Europe (1- Tuscan-Emilian Apennines, Italy; 2- Northern-mid Galicia, Spain). In previous HLC studies, land-use has been evaluated from the perspective of cultural heritage, whereas RUSLE have used it as a proxy for the land-cover of an area and its effect on soil erosion. The HiLSS project will propose an innovative methodology that combines both the historic/cultural values and the environmental values of land-use to inform development of a model for the sustainable conservation. By considering the different agricultural land-use HLC types in GIS-RUSLE modelling, it will be possible to quantify the effect on soil loss for each HLC type and consequently to devise more environmentally sustainable management for each type. Environmental sustainability and historic landscape conservation are typically treated as two separate fields, but the HiLSS project will develop a transformative model for interdisciplinary research, proposing a new way to embrace both cultural and natural values as components of the same landscape management plans.     HLC_RUSLE.zip    The R script code was developed by dr. F. Brandolini (Newcastle University, UK) to accompany the paper: 'Brandolini, F., Kinnaird, T.C., Srivastava, A., Turner S. -\u00a0Modelling the impact of historic landscape change on soil erosion and degradation. Sci Rep 13, 4949 (2023)'.   List of files included in HLC_RUSLE.zip:      R_script_code named 'HLC_RUSLE'\u00a0in .rmd format   Output folder:        Figures folder: .png products of the R script code    Rasters\u00a0folder: .png products of the R script code    Tables\u00a0folder: .pdf\u00a0products of the R script code       GeoTiff folder (.TIFF file format): Regional RUSLE\u00a0Data   GPKG:\u00a0HLC dataset\u00a0and\u00a0Region Of Interest file in .gpkg format      Spatial statistics to reveal patterns and connections in the historic landscape    The R script code was developed by dr. F. Brandolini (Newcastle University, UK) to accompany the paper: '\u00a0F.\u00a0Brandolini & S.\u00a0Turner\u00a0(2022)\u00a0Revealing patterns and connections in the historic landscape of the northern Apennines (Vetto, Italy),\u00a0Journal of Maps,\u00a0DOI:\u00a010.1080/17445647.2022.2088305.\u00a0'.   It is available at:\u00a0https://doi.org/10.5281/zenodo.5907229     Supplementary material_Land _SI_Historic Landscape Evolution.zip    Supplementary Materials to accompaing\u00a0the paper:\u00a0The evolution of historic agroforestry landscape in the Northern Apennines (Italy) and its consequences for slope geomorphic processes, submitted to\u00a0Land,\u00a0Special Issue\u00a0Historic Landscape Transformation.     Project_Publications.zip    List of .pdf file included in the folder:\u00a0   1) Brandolini F, Domingo-Ribas G, Zerboni A and Turner S. A Google Earth Engine-enabled Python approach for the identification of anthropogenic palaeo-landscape features [version 2; peer review: 2 approved, 1 approved with reservations]. Open Res Europe 2021,\u00a01:22\u00a0(https://doi.org/10.12688/openreseurope.13135.2)   2) Brandolini F., Turner S.\u00a0 2022 - Revealing patterns and connections in the historic landscape of the northern Apennines (Vetto, Italy), \u00a0Journal of Maps,\u00a0 (https://doi.org/10.1080/17445647.2022.2088305)   3) Brandolini, F., Kinnaird, T.C., Srivastava, A., Turner S. 2023 -\u00a0Modelling the impact of historic landscape change on soil erosion and degradation. Sci Rep 13, 4949 (2023), (https://doi.org/10.1038/s41598-023-31334-z)   4)\u00a0Brandolini, F., Compostella, C., Pelfini, M., and Turner, S. 2023 - 'The Evolution of Historic Agroforestry Landscape in the Northern Apennines (Italy) and Its Consequences for Slope Geomorphic Processes' Land 12, no. 5: 1054. (https://doi.org/10.3390/land12051054)", "keywords": ["2. Zero hunger", "13. Climate action", "Landscape Archaeology", "11. Sustainability", "RUSLE", "USPED", "15. Life on land", "Historic Landscape Characterisation", "Soil Sustainability", "Soil Erosion Modelling", "12. Responsible consumption"], "contacts": [{"organization": "Brandolini Filippo", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.7856487"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.7856487", "name": "item", "description": "10.5281/zenodo.7856487", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.7856487"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-10-10T00:00:00Z"}}, {"id": "10.5281/zenodo.8057232", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:23:46Z", "type": "Dataset", "title": "Upscaling soil organic carbon measurements at the continental scale using multivariate clustering analysis and machine learning", "description": "<strong>Data Description</strong>: To improve SOC estimation in the United States, we upscaled site-based SOC measurements to the continental scale using multivariate geographic clustering (MGC) approach coupled with machine learning models. First, we used the MGC approach to segment the United States at 30 arc second resolution based on principal component information from environmental covariates (gNATSGO soil properties, WorldClim bioclimatic variables, MODIS biological variables, and physiographic variables) to 20 SOC regions. We then trained separate random forest model ensembles for each of the SOC regions identified using environmental covariates and soil profile measurements from the International Soil Carbon Network (ISCN) and an Alaska soil profile data. We estimated United States SOC for 0-30 cm and 0-100 cm depths were 52.6 + 3.2 and 108.3 + 8.2 Pg C, respectively. Files in collection (32): Collection contains 22 soil properties geospatial rasters, 4 soil SOC geospatial rasters, 2 ISCN site SOC observations csv files, and 4 R scripts gNATSGO TIF files: \u251c\u2500\u2500 available_water_storage_30arc_30cm_us.tif [30 cm depth soil available water storage]<br> \u251c\u2500\u2500 available_water_storage_30arc_100cm_us.tif [100 cm depth soil available water storage]<br> \u251c\u2500\u2500 caco3_30arc_30cm_us.tif [30 cm depth soil CaCO3 content]<br> \u251c\u2500\u2500 caco3_30arc_100cm_us.tif [100 cm depth soil CaCO3 content]<br> \u251c\u2500\u2500 cec_30arc_30cm_us.tif [30 cm depth soil cation exchange capacity]<br> \u251c\u2500\u2500 cec_30arc_100cm_us.tif [100 cm depth soil cation exchange capacity]<br> \u251c\u2500\u2500 clay_30arc_30cm_us.tif [30 cm depth soil clay content]<br> \u251c\u2500\u2500 clay_30arc_100cm_us.tif [100 cm depth soil clay content]<br> \u251c\u2500\u2500 depthWT_30arc_us.tif [depth to water table]<br> \u251c\u2500\u2500 kfactor_30arc_30cm_us.tif [30 cm depth soil erosion factor]<br> \u251c\u2500\u2500 kfactor_30arc_100cm_us.tif [100 cm depth soil erosion factor]<br> \u251c\u2500\u2500 ph_30arc_100cm_us.tif [100 cm depth soil pH]<br> \u251c\u2500\u2500 ph_30arc_100cm_us.tif [30 cm depth soil pH]<br> \u251c\u2500\u2500 pondingFre_30arc_us.tif [ponding frequency]<br> \u251c\u2500\u2500 sand_30arc_30cm_us.tif [30 cm depth soil sand content]<br> \u251c\u2500\u2500 sand_30arc_100cm_us.tif [100 cm depth soil sand content]<br> \u251c\u2500\u2500 silt_30arc_30cm_us.tif [30 cm depth soil silt content]<br> \u251c\u2500\u2500 silt_30arc_100cm_us.tif [100 cm depth soil silt content]<br> \u251c\u2500\u2500 water_content_30arc_30cm_us.tif [30 cm depth soil water content]<br> \u2514\u2500\u2500 water_content_30arc_100cm_us.tif [100 cm depth soil water content] SOC TIF files: \u251c\u2500\u250030cm SOC mean.tif [30 cm depth soil SOC]<br> \u251c\u2500\u2500100cm SOC mean.tif [100 cm depth soil SOC]<br> \u251c\u2500\u250030cm SOC CV.tif [30 cm depth soil SOC coefficient of variation]<br> \u2514\u2500\u2500100cm SOC CV.tif [100 cm depth soil SOC coefficient of variation] site observations csv files: ISCN_rmNRCS_addNCSS_30cm.csv 30cm ISCN sites SOC replaced NRCS sites with NCSS centroid removed data ISCN_rmNRCS_addNCSS_100cm.csv 100cm ISCN sites SOC replaced NRCS sites with NCSS centroid removed data <br> <strong>Data format</strong>: Geospatial files are provided in Geotiff format in Lat/Lon WGS84 EPSG: 4326 projection at 30 arc second resolution. <strong>Geospatial projection</strong>: <pre><code>GEOGCS['GCS_WGS_1984', DATUM['D_WGS_1984', SPHEROID['WGS_1984',6378137,298.257223563]], PRIMEM['Greenwich',0], UNIT['Degree',0.017453292519943295]] (base) [jbk@theseus ltar_regionalization]$ g.proj -w GEOGCS['wgs84', DATUM['WGS_1984', SPHEROID['WGS_1984',6378137,298.257223563]], PRIMEM['Greenwich',0], UNIT['degree',0.0174532925199433]] </code></pre>", "keywords": ["gNATSGO", "the United States SOC", "US soil properties", "15. Life on land", "Gridded National Soil Survey Geographic Database", "International Soil Carbon Network (ISCN)"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.8057232"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.8057232", "name": "item", "description": "10.5281/zenodo.8057232", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.8057232"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-25T00:00:00Z"}}, {"id": "10.7910/DVN/GVNJAB", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:24:31Z", "type": "Dataset", "created": "2019-06-24", "title": "Physical topsoil  properties in Murugusi, Western Kenya", "description": "Open Access&lt;b&gt;General:&lt;/b&gt; Lab determined topsoil bulk density, contents of sand, clay and organic carbon in Murugusi, W. Kenya, together with spatial coordinates of where the soil samples were taken (rounded to the closest center point of a 250 m \u00d7 250 m raster). All lab analyses were carried out at the ILRI/CIAT lab in Nairob, Kenya.  &lt;br&gt;  &lt;b&gt;Soil sampling:&lt;/b&gt; At each sample location, one composite topsoil sample was taken; three cores of 7 cm in diameter taken within an area of one square meter. The soil was taken from 0-0.2 m depth below any organic (O) horizon.   &lt;br&gt;  &lt;b&gt;Determination of soil properties:&lt;/b&gt; The bulk density of the soil was determined by taking two undisturbed soil samples (0-10 cm and 10-20 cm depth) of known volume (100 cm2) and weighting them after air drying. Soil fractions of clay (&lt;0.002 mm) and sand (0.05-2 mm) were determined by the hydrometer method (Estefan et al., 2014), using 10% sodium hexametaphosphate as the dispersing agent. Soil pH was determined potentiometrically on a soil suspension of 1:2 (soil: water). Total carbon was measured after dry combustion using an elemental analyser (Elementar Vario max cube; ISO 10694, first edition 1995-03-01)  &lt;br&gt;  &lt;b&gt;Reference: &lt;/b&gt;Estefan G., Sommer R., Ryan J. (2014) Analytical Methods for Soil-Plant and Water in Dry Areas. A Manual of Relevance to the West Asia and North Africa Region. 3rd Edition, International Center for Agricultural Research in the Dry Areas, Aleppo, 255 pp. Available online at: http://repo.mel.cgiar.org:8080/handle/20.500.11766/7512?show=full. Verified: October 9, 2018.  &lt;br&gt;  &lt;b&gt;Acknowledgements: &lt;/b&gt; We are deeply thankful for the good services provided by John Mukulama (soil sampling), John Yumbya Mutua (soil sampling) and Francis Mungthu Njenga (lab analyses) The project was carried out within the CGIAR Research Program on Water, Land and Ecosystems (WLE).", "keywords": ["Soil organic matter", "Agricultural Sciences", "Soil organic carbon", "sand", "Kenya", "Carbon", "Latin America and the Caribbean", "soil", "Soil", "Soil bulk density", "Sand", "soil organic matter", "Earth and Environmental Sciences", "Soil texture", "Murugusi", "Africa", "Clay", "Texture", "Western Kenya", "Agroecosystems and Sustainable Landscapes - ASL"], "contacts": [{"organization": "Piikki, Kristin, S\u00f6derstr\u00f6m, Mats, Sommer, Rolf, Da Silva, Mayesse,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/GVNJAB"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/GVNJAB", "name": "item", "description": "10.7910/DVN/GVNJAB", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/GVNJAB"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/HXAH87", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:24:31Z", "type": "Dataset", "title": "Arbuscular and ectomycorrhizal fungi diversity in the Indian subcontinent", "description": "Mycorrhizal fungi (MF) are below-ground organisms playing a key role in terrestrial ecosystems as they regulate nutrient and carbon cycles, and influence soil structure and ecosystem multifunctionality. Arbuscular and ectomycorrhizal fungi are the two mycorrhizal types most relevant to worldwide ecosystems, but areas like the Indian sub-continent remain under-represented in global maps. The dataset presented here reports the available information regarding arbuscular and ectomycorrhizal fungi diversity in cultivated and natural ecosystems of the Indian subcontinent. We have selected studies published in English in ISI Web of Science during the years 2005 - 2020 that provided a taxonomic classification of MF and their associated abundance in terms of percentage of root colonization or number of spores per quantity of soil. From the screening of 74 studies, we have recorded: i. the scientific or common name of the plant or the generic habitat sampled for MF identification; ii the MF genus and species; iii. the location of the study with associated altitude and geographic coordinates; iv. main soil physico-chemical properties (soil pH, texture, organic Carbon, Total Nitrogen, available Phosphorus); climatic variables such as mean annual precipitation and temperature.&lt;br&gt;&lt;br&gt;", "keywords": ["ecosystem management", "Asia", "Agricultural Sciences", "CGIAR Research Program on Water", " Land and Ecosystems", "Multifunctional Landscapes", "gesti\u00f3n de ecosistemas", "soil biology", "MYCORRHIZAE", "CGIAR Research Program", "Earth and Environmental Sciences", "SOIL BIOLOGY", "BIODIVERSITY", "mycorrhizae", "biolog\u00eda del suelo"], "contacts": [{"organization": "Beggi, Francesca, Dasgupta, Debarshi,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/HXAH87"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/HXAH87", "name": "item", "description": "10.7910/DVN/HXAH87", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/HXAH87"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/W9LSAD", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-25T16:24:32Z", "type": "Dataset", "created": "2015-01-01", "title": "Replication data: Zn efficient rice genotypes alter soil Zn availability, composition and Zn uptake in Zn-deficient and Zn-sufficient field soils under continuous flooding", "description": "Open Accessapplication/vnd.ms-excel, null", "keywords": ["biofortification", "Agricultural Sciences", "zinc deficiency", "Oryza sativa"], "contacts": [{"organization": "Goloran, Johnvie", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/W9LSAD"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/W9LSAD", "name": "item", "description": "10.7910/DVN/W9LSAD", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/W9LSAD"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-24T00:00:00Z"}}, {"id": "11245.1/e982467a-6b87-4f88-8ac3-53d0fb37aeb2", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:24:58Z", "type": "Journal Article", "created": "2024-05-01", "title": "Arabinosylation of cell wall extensin is required for the directional response to salinity in roots", "description": "Abstract                   <p>Soil salinity is a major contributor to crop yield losses. To improve our understanding of root responses to salinity, we developed and exploited a real-time salt-induced tilting assay. This assay follows root growth upon both gravitropic and salt challenges, revealing that root bending upon tilting is modulated by Na+ ions, but not by osmotic stress. Next, we measured this salt-specific response in 345 natural Arabidopsis (Arabidopsis thaliana) accessions and discovered a genetic locus, encoding the cell wall-modifying enzyme EXTENSIN ARABINOSE DEFICIENT TRANSFERASE (ExAD) that is associated with root bending in the presence of NaCl (hereafter salt). Extensins are a class of structural cell wall glycoproteins known as hydroxyproline (Hyp)-rich glycoproteins, which are posttranslationally modified by O-glycosylation, mostly involving Hyp-arabinosylation. We show that salt-induced ExAD-dependent Hyp-arabinosylation influences root bending responses and cell wall thickness. Roots of exad1 mutant seedlings, which lack Hyp-arabinosylation of extensin, displayed increased thickness of root epidermal cell walls and greater cell wall porosity. They also showed altered gravitropic root bending in salt conditions and a reduced salt-avoidance response. Our results suggest that extensin modification via Hyp-arabinosylation is a unique salt-specific cellular process required for the directional response of roots exposed to salinity.</p", "keywords": ["580", "0301 basic medicine", "2. Zero hunger", "570", "Salinity", "0303 health sciences", "Glycosylation", "Arabidopsis Proteins", "Arabidopsis", "Breakthrough Report", "Sodium Chloride", "15. Life on land", "Arabinose", "Plant Roots", "Gravitropism", "03 medical and health sciences", "Cell Wall", "Gene Expression Regulation", " Plant", "Life Science", "Glycoproteins", "Plant Proteins"]}, "links": [{"href": "https://academic.oup.com/plcell/article-pdf/36/9/3328/59006321/koae135.pdf"}, {"href": "https://doi.org/11245.1/e982467a-6b87-4f88-8ac3-53d0fb37aeb2"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20Plant%20Cell", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11245.1/e982467a-6b87-4f88-8ac3-53d0fb37aeb2", "name": "item", "description": "11245.1/e982467a-6b87-4f88-8ac3-53d0fb37aeb2", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11245.1/e982467a-6b87-4f88-8ac3-53d0fb37aeb2"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-05-01T00:00:00Z"}}, {"id": "11369/372709", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:25:01Z", "type": "Journal Article", "created": "2018-09-07", "title": "Soil resources and element stocks in drylands to face global issues", "description": "Abstract<p>Drylands (hyperarid, arid, semiarid, and dry subhumid ecosystems) cover almost half of Earth\uffe2\uff80\uff99s land surface and are highly vulnerable to environmental pressures. Here we provide an inventory of soil properties including carbon (C), nitrogen (N), and phosphorus (P) stocks within the current boundaries of drylands, aimed at serving as a benchmark in the face of future challenges including increased population, food security, desertification, and climate change. Aridity limits plant production and results in poorly developed soils, with coarse texture, low C:N and C:P, scarce organic matter, and high vulnerability to erosion. Dryland soils store 646 Pg of organic C to 2\uffe2\uff80\uff89m, the equivalent of 32% of the global soil organic C pool. The magnitude of the historic loss of C from dryland soils due to human land use and cover change and their typically low C:N and C:P suggest high potential to build up soil organic matter, but coarse soil textures may limit protection and stabilization processes. Restoring, preserving, and increasing soil organic matter in drylands may help slow down rising levels of atmospheric carbon dioxide by sequestering C, and is strongly needed to enhance food security and reduce the risk of land degradation and desertification.</p", "keywords": ["2. Zero hunger", "0301 basic medicine", "Conservation of Natural Resources", "0303 health sciences", "Multidisciplinary", "Nitrogen", "Climate", "Climate Change", "Phosphorus", "15. Life on land", "Article", "Carbon", "Food Supply", "Soil", "03 medical and health sciences", "element cycles", "13. Climate action", "carbon cycle", "Life Science", "Humans", "Desert Climate", "Ecosystem", "geochemistry"]}, "links": [{"href": "https://iris.univr.it/bitstream/11562/1001390/1/Soil%20resources%20and%20element%20stocks%20in%20drylands%20to%20face%20global%20issues.pdf"}, {"href": "https://www.nature.com/articles/s41598-018-32229-0.pdf"}, {"href": "https://doi.org/11369/372709"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Scientific%20Reports", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11369/372709", "name": "item", "description": "11369/372709", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11369/372709"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-09-13T00:00:00Z"}}, {"id": "11379/629705", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:25:01Z", "type": "Journal Article", "created": "2025-07-19", "title": "Role of Biodegradable and Non-Biodegradable Microplastic in Modulating the toxicological Effects of Organic Pollutants in the Soil Organism Folsomia candida", "description": "Abstract                   <p>                     The ecotoxicological effects of microplastics in soil ecosystems are complex, particularly in areas of intensive agriculture and livestock production, where plant protection products and veterinary drugs commonly coexist with plastic residues. In this study, we investigated the impact, under laboratory conditions, of 3 MP types (non-biodegradable low-density polyethylene (LDPE) and biodegradable polybutylene adipate terephthalate-based (PBAT-based) and a starch-based polymer) on the soil-dwelling species                     Folsomia candida                     (Willem, 1902) in soils contaminated with the anthelmintic albendazole and the fungicide pyraclostrobin. These organic pollutants (OPs) are frequently found in areas of intensive agriculture and livestock production.                     F. candida                     individuals were exposed for 28\uffc2\uffa0days to soils contaminated by the OPs at 0.0001 w/w% (1\uffc2\uffa0mg/kg), with and without MPs at 0.01 and 0.1 w/w% concentrations (100 and 1000\uffc2\uffa0mg/kg respectively), under laboratory conditions (21\uffe2\uff80\uff89\uffc2\uffb1\uffe2\uff80\uff891 C\uffc2\uffb0, 80%\uffe2\uff80\uff89\uffc2\uffb1\uffe2\uff80\uff891 RH). Adults\uffe2\uff80\uff99 survival, egg production, and juveniles\uffe2\uff80\uff99 occurrence were recorded as endpoints. Our findings indicate that microplastics alone did not significantly affect the survival and reproductive outcomes of                     F. candida                     . However, in soils contaminated with albendazole and pyraclostrobin, the presence of biodegradable MPs resulted in significant effects compared to the control and the treatment with only microplastics. Specifically, PBAT-based MPs significantly impacted adult survival, juvenile occurrence, and egg counts, while starch-based MPs primarily affected egg counts. On the contrary, co-exposure to OPs and LDPE MPs did not show significant effects. These results suggest that different MPs influence the bioavailability and toxicity of co-occurring fungicides and veterinary drug in soil ecosystems in different ways, with implications for assessing the ecological risks of biodegradable and non-biodegradable plastics in contaminated soils. The potential of MPs to influence the spatial distribution and bioavailability of organic pollutants for soil mesofauna needs further investigation.                   </p", "keywords": ["Soil ecotoxicology", "Pyraclostrobin", "Microplastics (MPs)", "Organic pollutants (OPs)", "Albendazole", "Biodegradable plastics", "Microplastics (MPs)", " Biodegradable plastics", " Organic pollutants (OPs)", " Albendazole", " Pyraclostrobin", " Soil ecotoxicology", " Folsomia candida", "Folsomia candida"]}, "links": [{"href": "https://iris.unibs.it/bitstream/11379/629705/1/s11270-025-08351-x.pdf"}, {"href": "https://doi.org/11379/629705"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water%2C%20Air%2C%20%26amp%3B%20Soil%20Pollution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11379/629705", "name": "item", "description": "11379/629705", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11379/629705"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-07-19T00:00:00Z"}}, {"id": "17e5dafc-0450-41d3-ad4b-d698b0f1a9ad", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:28:01Z", "type": "Dataset", "title": "Atlas des d\u00e9partements fran\u00e7ais d'Outre-Mer : 4. La Guyane. 4 mosaics of 4 map sheets and a set of 32 map sheets. Scale of 1:40\u00a0000\u00a0000 to 1:7\u00a0100. Date of publication: 1978-1979.", "description": "4 mosaics of 4 map sheets and a set of 32 additional map sheets 1.   Administrations, banques : la Guyane : planche 29. Scale of 1:3\u00a0000\u00a0000 to 1:10\u00a0000. Date of publication: 1979. 2.   Arch\u00e9ologie, histoire des Am\u00e9rindiens : la Guyane : planche 17. Scale of 1:15\u00a0000\u00a0000 to 1:1\u00a0500\u00a0000. Date of publication: 1979. 3.   Cartes anciennes : la Guyane : planche 18. Scale of 1:2\u00a0500\u00a0000 to 1:630\u00a0000. Date of publication: 1979. 4.   Cayenne : la Guyane : planche 34. Scale of 1:60\u00a0000 to 1:10\u00a0000. Date of publication: 1979. 5.   Circulation, transports : la Guyane : planche 27. Scale of 1:14\u00a0000\u00a0000 to 1:100\u00a0000. Date of publication: 1979. 6.   Climatologie : la Guyane : planche 7. Scale of 1:3\u00a0500\u00a0000. Date of publication: 1979. 7.   Climatologie II : pluviom\u00e9trie annuelle moyenne : la Guyane : planche 8. Scale of 1:1\u00a0000\u00a0000. Date of publication: 1979. 8.   Commerce, industrie, p\u00eache, tourisme : la Guyane : planche 28. Scale of 1:2\u00a0000\u00a0000 to 1:1\u00a0500\u00a0000. Date of publication: 1979. 9.   Energie, eaux, PTT et radiot\u00e9l\u00e9vision : la Guyane : planche 30. Scale of 1:1\u00a0500\u00a0000 to 1:225\u00a0000. Date of publication: 1979. 10.  Exploitation foresti\u00e8re : la Guyane : planche 25. Scale of 1:1\u00a0000\u00a0000. Date of publication: 1979. 11.  Faunes originales : plaines c\u00f4ti\u00e8res : la Guyane : planche 15. Scale of 1:350\u00a0000. Date of publication: 1979. 12.  G\u00e9ologie : la Guyane : planche 4. Scale of 1:2\u00a0500\u00a0000 to 1:1\u00a0000\u00a0000. Date of publication: 1979. 13.  G\u00e9omorphologie : la Guyane : planche 5. Scale of 1:2\u00a0000\u00a0000 to 1:1\u00a0000\u00a0000. Date of publication: 1979. 14.  Groupes humains : la Guyane : planche 20. Scale of 1:2\u00a0000\u00a0000 to 1:300\u00a0000. Date of publication: 1979. 15.  Histoire coloniale : la Guyane : planche 19. Scale of 1:2\u00a0000\u00a0000 to 1:500\u00a0000. Date of publication: 1979. 16.  Hydrologie : la Guyane : planche 9. Scale of 1:1\u00a0000\u00a0000. Date of publication: 1978. 17.  Ile de Cayenne : la Guyane : planche 35. Scale of 1:100\u00a0000 to 1:60\u00a0000. Date of publication: 1978. 18.  Kourou, Saint-Laurent, Sinnamary : la Guyane : planche 36. Scale of 1:100\u00a0000 to 1:7\u00a0100. Date of publication: 1979. 19.  La r\u00e9gion des Guyanes : la Guyane : planche 2. Scale of 1:5\u00a0000\u00a0000. Date of publication: 1979. 20.  Logement : la Guyane : planche 33. Scale of 1:1\u00a0000\u00a0000 to 1:35\u00a0000. Date of publication: 1979. 21.  Milieu marin : la Guyane : planche 14. Scale of 1:1\u00a0500\u00a0000. Date of publication: 1979. 22.  Mouvements migratoires : la Guyane : planche 22. Scale of 1:1\u00a0000\u00a0000 to 1:100\u00a0000. Date of publication: 1979. 23.  Pathologie : la Guyane : planche 16. Scale of 1:2\u00a0000\u00a0000 to 1:150\u00a0000. Date of publication: 1979. 24.  P\u00e9dologie : la Guyane : planche 10. Scale of 1:1\u00a0000\u00a0000. Date of publication: 1979. 25.  P\u00e9dologie : plaines c\u00f4ti\u00e8res : la Guyane : planche 11. Scale of 1:350\u00a0000. Date of publication: 1979. 26.  Population : r\u00e9partition : la Guyane : planche 21. Scale of 1:2\u00a0000\u00a0000 to 1:100\u00a0000. Date of publication: 1979. 27.  Productions agricoles : la Guyane : planche 24. Scale of 1:2\u00a0000\u00a0000. Date of publication: 1979. 28.  Relief : la Guyane : planche 3. Scale of 1:1\u00a0000\u00a0000 to 1:100\u00a0000. Date of publication: 1979. 29.  Ressources mini\u00e8res : la Guyane : planche 26. Scale of 1:1\u00a0000\u00a0000 to 1:25\u00a0000. Date of publication: 1979. 30.  Sant\u00e9 et action sociale, scolarit\u00e9 : la Guyane : planche 31. Scale of 1:1\u00a0500\u00a0000 to 1:50\u00a0000. Date of publication: 1979. 31.  S\u00e9dimentologie : plaines c\u00f4ti\u00e8res : la Guyane : planche 6. Scale of 1:350\u00a0000. Date of publication: 1979. 32.  Situation : la Guyane : planche 1. Scale of 1:40\u00a0000\u00a0000. Date of publication: 1979. 33.  Sports et loisirs, cultes : la Guyane : planche 32. Scale of 1:1\u00a0500\u00a0000 to 1:20\u00a0000. Date of publication: 1979. 34.  Utilisation du sol : la Guyane : planche 23. Scale of 1:1\u00a0000\u00a0000 to 1:200\u00a0000. Date of publication: 1979. 35.  V\u00e9g\u00e9tation : la Guyane : planche 12. Scale of 1:1\u00a0000\u00a0000. Date of publication: 1979. 36.  V\u00e9g\u00e9tation : plaines c\u00f4ti\u00e8res : la Guyane : planche 13. Scale of 1:350\u00a0000. Date of publication: 1979.", "keywords": ["elevation", "fr", "geology", "hydrography", "illustration", "labex-ceba", "land-use", "local-coverage", "map-collection", "meteorological-geographical-features", "mineral-resources", "national-coverage", "oceanographic-geographical-features", "population-distribution-\u2014-demography", "precipitation", "project-numerisud", "regional-coverage", "relief-(land)", "settlements", "soil", "species-distribution", "thematic-map", "topography"]}, "links": [{"href": "http://data.europa.eu/88u/dataset/17e5dafc-0450-41d3-ad4b-d698b0f1a9ad"}, {"rel": "self", "type": "application/geo+json", "title": "17e5dafc-0450-41d3-ad4b-d698b0f1a9ad", "name": "item", "description": "17e5dafc-0450-41d3-ad4b-d698b0f1a9ad", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/17e5dafc-0450-41d3-ad4b-d698b0f1a9ad"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "1854/LU-8732814", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:25:16Z", "type": "Journal Article", "created": "2021-11-09", "title": "Litter quality, mycorrhizal association, and soil properties regulate effects of tree species on the soil fauna community", "description": "Abstract   Forest management, including selection of appropriate tree species to mitigate climate change and sustain biodiversity, requires a better understanding of factors that affect the composition of soil fauna communities. These communities are an integral part of the soil ecosystem and play an essential role in forest ecosystem functioning related to carbon and nitrogen cycling. Here, by performing a field study across six common gardens in Denmark, we evaluated the effects of tree species identity and mycorrhizal association (i.e., arbuscular mycorrhiza (AM) and ectomycorrhiza (ECM)) on soil fauna (meso- and macrofauna) taxonomic and functional community composition by using diversity, abundance, and biomass as proxies. We found that (1) tree species identity and mycorrhizal association both showed significant effects on soil fauna communities, but the separation between community characteristics in AM and ECM tree species was not entirely consistent; (2) total soil fauna abundance, biomass, as well as taxonomic and functional diversity were generally significantly higher under AM tree species, as well as lime, with higher litter quality (high N and base cation and low lignin:N ratio); (3) tree species significantly influenced the properties of litter, forest floor, and soil, among which litter and/or forest floor N, P, Ca, and Mg concentrations, soil pH, and soil moisture predominantly affected soil fauna abundance, biomass, and taxonomic and functional diversity. Our results from this multisite common garden experiment provide strong and consistent evidence of positive effects of tree species with higher litter quality on soil fauna communities in general, which helps to better understand the effects of tree species selection on soil biodiversity and its functions related to forest soil carbon sequestration.", "keywords": ["DECOMPOSITION", "EARTHWORMS", "Diversity", "PH", "FOREST FLOOR", "Common garden experiment", "Soil meso- and macrofauna", "DIVERSITY", "Biology and Life Sciences", "04 agricultural and veterinary sciences", "15. Life on land", "NITROGEN", "CARBON", "Taxonomic group", "FUNCTIONAL TRAITS", "Abundance", "13. Climate action", "Earth and Environmental Sciences", "Functional group", "0401 agriculture", " forestry", " and fisheries", "BIODIVERSITY", "ABUNDANCE", "Biomass"]}, "links": [{"href": "https://doi.org/1854/LU-8732814"}, {"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": "1854/LU-8732814", "name": "item", "description": "1854/LU-8732814", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-8732814"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-02-01T00:00:00Z"}}, {"id": "1871.1/0b041c5c-edd1-45f1-895d-546207d34a0a", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:25:17Z", "type": "Journal Article", "created": "2024-03-21", "title": "Environmental drivers and remote sensing proxies of post-fire thaw depth in Eastern Siberian larch forests", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Boreal fire regimes are intensifying because of climate change and the northern parts of boreal forests are underlain by permafrost. Boreal fires combust vegetation and organic soils, which insulate permafrost, and as such deepen the seasonally thawed active layer and can lead to further carbon emissions to the atmosphere. Current understanding of the environmental drivers of post-fire thaw depth is limited but of critical importance. In addition, mapping thaw depth over fire scars may enable a better understanding of the spatial variability in post-fire responses of permafrost soils. We assessed the environmental drivers of post-fire thaw depth using field data from a fire scar in a larch-dominated forest in the continuous permafrost zone in Eastern Siberia. Particularly, summer thaw depth was deeper in burned (mean = 127.3 cm, standard deviation (sd) = 27.7 cm) than in unburned (98.1 cm, sd = 26.9 cm) landscapes one year after the fire, yet the effect of fire was modulated by landscape and vegetation characteristics. We found deeper thaw in well-drained landscape positions, in open larch forest often intermixed with Scots pine, and in high severity burns. The environmental drivers, site moisture, forest type and density, and fire severity explained 73.4 % of the measured thaw depth variability at the study sites. In addition, we evaluated the relationships between field-measured thaw depth and several remote sensing proxies. Albedo, the differenced Normalized Burn Ratio (dNBR), land surface temperature (LST), and pre-fire Normalized Difference Vegetation Index (NDVI) derived from Landsat 8 imagery together explained 66.3 % of the variability in field-measured thaw depth. Based on these remote sensing proxies and multiple linear regression analysis, we estimated thaw depth over the entire fire scar, and found that LST displayed particularly strong correlations with post-fire thaw depth (r = 0.65, p &lt; 0.01). Our study reveals some of the governing processes of post-fire thaw depth development and shows the capability of Landsat imagery to estimate thaw depth at a landscape scale.                         </p></article>", "keywords": ["Dynamic and structural geology", "QE1-996.5", "13. Climate action", "Science", "Q", "Geology", "QE500-639.5", "Deforestation", "15. Life on land", "Landsat", "Multiple linear regression", "Atmospheric temperature"]}, "links": [{"href": "https://esd.copernicus.org/articles/15/1459/2024/esd-15-1459-2024.pdf"}, {"href": "https://doi.org/1871.1/0b041c5c-edd1-45f1-895d-546207d34a0a"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Earth%20System%20Dynamics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1871.1/0b041c5c-edd1-45f1-895d-546207d34a0a", "name": "item", "description": "1871.1/0b041c5c-edd1-45f1-895d-546207d34a0a", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1871.1/0b041c5c-edd1-45f1-895d-546207d34a0a"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-03-21T00:00:00Z"}}, {"id": "1887/4246123", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:25:19Z", "type": "Journal Article", "created": "2023-08-30", "title": "Inland Waters Increasingly Produce and Emit Nitrous Oxide", "description": "Nitrous oxide (N2O) is a long-lived greenhouse gas and currently contributes \u223c10% to global greenhouse warming. Studies have suggested that inland waters are a large and growing global N2O source, but whether, how, where, when, and why inland-water N2O emissions changed in the Anthropocene remains unclear. Here, we quantify global N2O formation, transport, and emission along the aquatic continuum and their changes using a spatially explicit, mechanistic, coupled biogeochemistry-hydrology model. The global inland-water N2O emission increased from 0.4 to 1.3 Tg N yr-1 during 1900-2010 due to (1) growing N2O inputs mainly from groundwater and (2) increased inland-water N2O production, largely in reservoirs. Inland waters currently contribute 7 (5-10)% to global total N2O emissions. The highest inland-water N2O emissions are typically in and downstream of reservoirs and areas with high population density and intensive agricultural activities in eastern and southern Asia, southeastern North America, and Europe. The expected continuing excessive use of nutrients, dam construction, and development of suboxic conditions in aging reservoirs imply persisting high inland-water N2O emissions.", "keywords": ["Inland waters", "N2O cycling", " long-term temporal changes", "long-term temporal changes", "Nitrous oxide", "Asia", " Southern", "Nitrous Oxide", "Integrated process-based modeling", "Water", "Agriculture", "General Chemistry", "15. Life on land", "N2O cycling", "6. Clean water", "Greenhouse gas emission", "13. Climate action", "Environmental Chemistry", "14. Life underwater", "Spatial distributions", "closed N2O budget"]}, "links": [{"href": "https://doi.org/1887/4246123"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Science%20%26amp%3B%20Technology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1887/4246123", "name": "item", "description": "1887/4246123", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1887/4246123"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-08-30T00:00:00Z"}}, {"id": "18968587-3633-4987-a27a-685862803552~~1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:31:31Z", "type": "Dataset", "language": "de", "title": "GcB\u00dcK400 \u2014 arsenic in the upper floor", "description": "Arsenic is a semi-metal, ubiquitous and toxic element. It is widely found in nature in various mineralisations as arsenic sulphide or oxide and as copper, nickel and iron arsenate. The average As content of the rocks of the upper continental crust (Clark value) is 2\u00a0mg/kg. In the literature, As levels 20\u00a0mg/kg are described as normal levels, the mean content being about 5\u00a0mg/kg. Among the toxic elements, the arsenic is particularly important due to its large spread of increased content in Saxon soils. The causes are undoubtedly to be found in the geochemical-metallogenetic specialisation of the Fichtelgebirgisch Erzgebirgic Anticlinal Zone. The area-related mean A content of the main rock types (petrogeochemical component) is approximately 13\u00a0mg/kg. The chalkogenic component is of particular importance in the Ore Mountains. In addition to the element enrichment in the mineralisation itself, which was the subject of mining, there was also a large-scale influence on the side rocks or their weathering products (primary and secondary geochemical aureoles). The anthropogenic influence of natural soils is mainly due to the ore treatment plants and the emissions of non-ferrous metalworks. Whereas low levels dominate in the upper soils of North and in parts of central axis (as-poor periglaciary sandy to loamy substrates; L\u00f6ss), a relative enrichment occurs in the weathering soils via solid rocks as a result of the higher petrogenic A component. Important regional anomalies are mainly located in the Freiberg region (Osterzgebirge), the most important site of mining and the smelting of polymetallic ores, as well as in the West Ore Mountains (Aure \u2014 Ehrenfriedersdorf area). The great extent and intensity of the spread of As minerals in polymetallic, tin-tungsten and bi-co-Ni-Ag-U ore formations, as well as their prevention, led to large-scale geogenic and anthropogenic enrichments. Both areas are separated by the north-south-souting Fl\u00f6ha zone, an area in which hardly any ore mineralisations occur and thus the chalkogenic component is rarely developed. Large-area elevated As levels in soils of the Vorerzgebirgssenke (Zwickau \u2014 Chemnitz) are due to the geochemically specialised rotary sediments (including removal products of the Ore Mountains). Particularly high levels of As are common in the meadows of the Freiberger Mulde, Zschopau, Zwickauer Mulde and the United Mulde. Due to the geological process of the removal of soils from the ore-mounted deposits as well as anthropogenic inputs by the ore processing and metallurgy industry, the deposit of the river sediments and swine parts in the flooding areas leads to constant as-enrichment in the floodplains. As a result of the geogenic and anthropogenic processes described above, the test and measure values of the Federal Soil Protection and Contaminant Ordinance (BBodSchV) for arsenic are sometimes exceeded.", "keywords": ["anorganischer-schadstoff", "arsen", "boden", "chemie", "chemisches-element", "de", "geologie", "opendata"]}, "links": [{"href": "https://luis.sachsen.de/boden/geodatendownload.html"}, {"href": "http://data.europa.eu/88u/dataset/18968587-3633-4987-a27a-685862803552~~1"}, {"href": "https://geoportal.sachsen.de/md/18968587-3633-4987-a27a-685862803552"}, {"rel": "self", "type": "application/geo+json", "title": "18968587-3633-4987-a27a-685862803552~~1", "name": "item", "description": "18968587-3633-4987-a27a-685862803552~~1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/18968587-3633-4987-a27a-685862803552~~1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "10.1016/j.cropro.2024.107036", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:16:03Z", "type": "Journal Article", "created": "2024-11-16", "title": "Development and effectivity of Solanum sisymbriifolium against potato cyst nematode under field conditions in soils from the southern atlantic area", "description": "Potato cyst nematodes (PCNs), belonging to the genus Globodera spp., are spread worldwide constituting a problem of concern as they can cause considerable losses in crop yields. An alternative to the application of common pesticides is the use of trap crops, that promote the hatching of second-stage juvenile cysts without supporting the feeding and reproduction of these nematodes. For this purpose, in recent years, there has been\u00a0growing attention to the use of Solanum sisymbriifolium as a biopesticide. In this study, we focused on looking for the best conditions to grow this trap crop under field conditions, contrary to previous studies developed in pots under controlled conditions. Various management strategies, including sowing date and depth, irrigation and soil compaction, to grow S. sisymbriifolium in acid sandy soils (pH 4.3\u20135.5) have been evaluated. In addition, the efficiency of S. sisymbriifolium was tested under field conditions in three PCN-infested plots. The results indicate that the best conditions for S. sisymbriifolium cropping in South Atlantic latitudes included sowing dates in July and August at 10\u201315 cm depth, with irrigation and soil compaction after sowing. Under these conditions, a 77%\u201389% decrease in PCNs was observed with a high initial number of cysts (93\u2013160 per 100g), and even some subplots showed a 100% reduction when the initial number of cysts was low (15\u201352 per 100g). Therefore, S. sisymbriifolium could be an interesting substitute for unspecific chemical nematicides in potato crops to promote sustainable agriculture.  This work was funded by the European Commission Horizon 2020 project SoildiverAgro [grant agreement 817819].", "keywords": ["Trap crop", "Nematicide", "Globodera spp.", "3101 Agroqu\u00edmica", "No-host plant", "Field experiment"]}, "links": [{"href": "https://doi.org/10.1016/j.cropro.2024.107036"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Crop%20Protection", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.cropro.2024.107036", "name": "item", "description": "10.1016/j.cropro.2024.107036", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.cropro.2024.107036"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-02-01T00:00:00Z"}}, {"id": "10.1002/adma.202402907", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:14:19Z", "type": "Journal Article", "created": "2024-05-17", "title": "Ultrafast Laser Processing of 2D Materials: Novel Routes to Advanced Devices", "description": "Abstract<p>Ultrafast laser processing has emerged as a versatile technique for modifying materials and introducing novel functionalities. Over the past decade, this method has demonstrated remarkable advantages in the manipulation of 2D layered materials, including synthesis, structuring, functionalization, and local patterning. Unlike continuous\uffe2\uff80\uff90wave and long\uffe2\uff80\uff90pulsed optical methods, ultrafast lasers offer a solution for thermal heating issues. Nonlinear interactions between ultrafast laser pulses and the atomic lattice of 2D materials substantially influence their chemical and physical properties. This paper highlights the transformative role of ultrafast laser pulses in maskless green technology, enabling subtractive, and additive processes that unveil ways for advanced devices. Utilizing the synergetic effect between the energy states within the atomic layers and ultrafast laser irradiation, it is feasible to achieve unprecedented resolutions down to several nanometers. Recent advancements are discussed in functionalization, doping, atomic reconstruction, phase transformation, and 2D and 3D micro\uffe2\uff80\uff90 and nanopatterning. A forward\uffe2\uff80\uff90looking perspective on a wide array of applications of 2D materials, along with device fabrication featuring novel physical and chemical properties through direct ultrafast laser writing, is also provided.</p", "keywords": ["femtosec-ond laser", "graphene", "Fysikaalinen kemia", "kaksiulotteisuus", "laserpulssit", "2D materials", "Physical Chemistry", "lasertekniikka", "multiphoton process", "charge carrier dynamics", "transition metal dichalco-genide", "fotoniikka", "Nanoscience Center", "grafeeni", "siirtym\u00e4metallit", "atomic reconstruction"]}, "links": [{"href": "https://doi.org/10.1002/adma.202402907"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Advanced%20Materials", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/adma.202402907", "name": "item", "description": "10.1002/adma.202402907", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/adma.202402907"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-05-17T00:00:00Z"}}, {"id": "2591167526", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:25:51Z", "type": "Report", "created": "2017-02-21", "title": "Distinguishing between old and modern permafrost sources with compound-specific \u03b42H analysis", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Pleistocene ice complex permafrost deposits contain roughly a quarter of the organic carbon (OC) stored in permafrost terrain. When permafrost thaws, its OC is remobilized into the (aquatic) environment where it is available for degradation, transport or burial. Aquatic or coastal environments contain sedimentary reservoirs that can serve as archives of past climatic change. As permafrost thaw is increasing throughout the Arctic, these reservoirs are important locations to assess the fate of remobilized permafrost OC. We here present compound-specific deuterium (\u03b42H) analysis on leaf waxes as a tool to distinguish between OC released from thawing Pleistocene permafrost (Ice Complex Deposits; ICD) and from thawing Holocene permafrost (from near-surface soils). Bulk geochemistry (%OC, \u03b413C, %total nitrogen; TN) was analyzed as well as the concentrations and \u03b42H signatures of long-chain n-alkanes (C21 to C33) and mid/long-chain n-alkanoic acids (C16 to C30) extracted from both ICD-PF samples (n\u2009=\u20099) and modern vegetation/O-horizon (Topsoil-PF) samples (n\u2009=\u20099) from across the northeast Siberian Arctic. Results show that these Topsoil-PF samples have higher %OC, higher OC/TN values, and more depleted \u03b413C-OC values than ICD-PF samples, suggesting that these former samples trace a fresher soil and/or vegetation source. Median concentrations of high-molecular weight n-alkanes (sum of C25-C27-C29-C31) were 210\u2009\u00b1\u2009350\u2009\u00b5g/gOC (median\u2009\u00b1\u2009IQR) for Topsoil-PF and 250\u2009\u00b1\u200981\u2009\u00b5g/gOC for ICD-PF samples. Long-chain n-alkanoic acids (sum of C22-C24-C26-C28) were more abundant than long-chain n-alkanes, both in Topsoil-PF samples (4700\u2009\u00b1\u20093400\u2009\u00b5g/gOC) and in ICD samples (6630\u2009\u00b1\u20093500\u2009\u00b5g/gOC). Whereas the two investigated sources differ on the bulk geochemical level, they are, however, virtually indistinguishable when using leaf wax concentrations and ratios. However, on the molecular-isotope level, leaf wax biomarker \u03b42H values are statistically different between Topsoil-PF and ICD-PF. The mean \u03b42H value of C29 n-alkane was \u2212246\u2009\u00b1\u200913\u2009\u2030 (mean\u2009\u00b1\u2009stdev) for Topsoil-PF and \u2212280\u2009\u00b1\u200912\u2009\u2030 for ICD-PF, whereas the C31 n-alkane was \u2212247\u2009\u00b1\u200923\u2009\u2030 for Topsoil-PF and \u2212297\u2009\u00b1\u200915\u2009\u2030 for ICD-PF. The C28 n-alkanoic acid \u03b42H value was \u2212220\u2009\u00b1\u200915\u2009\u2030 for Topsoil-PF and \u2212267\u2009\u00b1\u200916\u2009\u2030 for ICD-PF. With a dynamic isotopic range (difference between two sources) of 34 to 50\u2009\u2030, the isotopic fingerprints of individual, abundant, biomarker molecules from leaf waxes can thus serve as end-members to distinguish between these two sources. We tested this molecular \u03b42H tracer along with another source-distinguishing approach, dual-carbon (\u03b413C-\u03b414C) isotope composition of bulk OC, for a surface sediment transect in the Laptev Sea. Results show that general offshore patterns along the shelf-slope transect are similar, but the source apportionment between the approaches vary, which may highlight the advantages of either. The \u03b42H molecular approach has the advantage that it circumvents uncertainties related to a marine end-member, yet the \u03b413C-\u03b414C approach has the advantage that it represents the bulk OC fraction thereby avoiding issues related to the molecular-bulk upscaling challenge. This study indicates that the application of \u03b42H leaf wax values has potential to serve as a complementary quantitative measure of the source and differential fate of OC thawed out from different permafrost compartments.                         </p></article>", "keywords": ["13. Climate action", "14. Life underwater", "15. Life on land"]}, "links": [{"href": "https://doi.org/2591167526"}, {"rel": "self", "type": "application/geo+json", "title": "2591167526", "name": "item", "description": "2591167526", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2591167526"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-02-21T00:00:00Z"}}, {"id": "10.1016/j.gexplo.2025.107868", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:16:36Z", "type": "Journal Article", "created": "2025-07-21", "title": "Improving spatial interpolation for anomaly analysis in presence of sparse, clustered or imprecise data sets", "description": "In this study, we present a new method of interpolation and anomaly detection especially designed for sparse, clustered or imprecise environmental data (SIC). Such data cannot be processed by current state of the art spatial methods and models, including the most widely used, such as kriging. Indeed, the statistics obtained on SIC data (on the order of 5\u201330) do not allow us to define a covariance or to calibrate the numerous hyper-parameters of sophisticated Bayesian or deep image prior models. We therefore adapted an information dissemination algorithm to handle SIC data. This probabilistic model has been enriched (anisotropy, de-clustering, auto-variography, multi-support, treatment of covariates, and censored data) in a way that fully meets the needs for environmental SIC data and can be used in conjunction with hybrid propagation of epistemic and aleatoric uncertainties and anomaly detection, whatever their mathematical form. The new interpolator for anomaly detection was applied on a very small set of 13 sparse data points characteristic of small-scale environmental studies, on digital-challenge datasets and on two real datasets, i.e., a large-scale geochemical dataset and a SIC urban soil dataset. Results highlight the added value of the proposed algorithm, that is able to pinpoint anomalies in SIC data, while avoiding in particular the smoothing effects of certain previous methods", "keywords": ["Sparse clustered", "Uncertainty", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "Spatial interpolation", "Anomaly detection", "European geochemistry"], "contacts": [{"organization": "Belb\u00e8ze, St\u00e9phane, Rohmer, J\u00e9r\u00e9my, Guyonnet, Dominique, N\u00e9grel, Philippe, Tarvainen, Timo,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.gexplo.2025.107868"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geochemical%20Exploration", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.gexplo.2025.107868", "name": "item", "description": "10.1016/j.gexplo.2025.107868", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.gexplo.2025.107868"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-12-01T00:00:00Z"}}, {"id": "3129983189", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:26:18Z", "type": "Journal Article", "created": "2021-02-23", "title": "Using NDVI for the assessment of canopy cover in agricultural crops within modelling research", "description": "Open AccessPeer reviewed", "keywords": ["2. Zero hunger", "0106 biological sciences", "Meta-analysis", "Canopy cover", "NDVI", "Crop modelling", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences"]}, "links": [{"href": "https://doi.org/3129983189"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Computers%20and%20Electronics%20in%20Agriculture", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3129983189", "name": "item", "description": "3129983189", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3129983189"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-01T00:00:00Z"}}, {"id": "3275006043e7d22b93081cadd4678b15", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:26:28Z", "type": "Report", "title": "Muhtarl\u0131k redesigning \u0131tself as a social policy making space", "description": "Open Access\u0130nsani krizler, ekonomik dalgalanmalar\u0131n etkileri, sert \u00e7evresel de\u011fi\u015fimler ve \u00e7e\u015fitli sosyal problemler, k\u00fcreselle\u015fmi\u015f d\u00fcnya insan\u0131n\u0131n al\u0131\u015f\u0131lagelmi\u015f deneyimleri haline geldi ve halklar\u0131 h\u00fck\u00fcmetlerden yarat\u0131c\u0131 ve kompleks \u00e7\u00f6z\u00fcmler talep etmeye zorlad\u0131. Bu konular, do\u011frusal inovasyon modeli olan \u0130novasyon Temelli Ekonomik B\u00fcy\u00fcme de\u011fil, yeni bir sosyal inovasyon perspektifine ihtiya\u00e7 duyan sistemik problemlerdir. Bu problem alanlar\u0131 \u00fczerinde \u00e7al\u0131\u015fmak, bilim ve teknoloji ile sosyal inovasyon aras\u0131ndaki disiplinlerin kesi\u015fimini ve s\u00f6z konusu politika alan\u0131nda mevcut t\u00fcm payda\u015flar i\u00e7in eri\u015filebilir bir alan yaratmay\u0131 gerektirmektedir, D\u00f6n\u00fc\u015f\u00fcmsel \u0130novasyon Politikas\u0131 verilen inovasyon kararlar\u0131n\u0131n y\u00f6nlendirmekte ve karar alma s\u00fcre\u00e7lerini vurgulamaktad\u0131r. D\u00f6n\u00fc\u015f\u00fcmsel \u0130novasyon Politikas\u0131na g\u00f6re, bu karma\u015f\u0131k problemlerin k\u00fc\u00e7\u00fck \u00f6l\u00e7ekli deneylerle, inovasyon ekosistemlerinde ve laboratuvarlar olarak tan\u0131mlanan alanlarda ele al\u0131nmas\u0131 ve anla\u015f\u0131lmas\u0131 gerekmektedir. Bahsedilen laboratuvar olarak tan\u0131mlanan tasar\u0131m alanlar\u0131 \u015fu \u015fekilde \u00f6rneklendirilebilir; Sosyal \u0130novasyon Laboratuvarlar\u0131, Ya\u015fam Laboratuvarlar\u0131, Kentsel Ya\u015fam Laboratuvarlar\u0131, Kentsel Ge\u00e7i\u015f Laboratuvarlar\u0131 ve Kamu Sekt\u00f6r\u00fc \u0130novasyon Laboratuvarlar\u0131. Sosyal inovasyon laboratuvarlar\u0131n\u0131n, politika laboratuvarlar\u0131n\u0131n ve tasar\u0131m\u0131n kamu politikas\u0131 siyasa yap\u0131m\u0131na kat\u0131l\u0131m\u0131n\u0131n Avrupa, Amerika, G\u00fcney Asya ve Orta Do\u011fu gibi noktalarda iyi \u00f6rnekleri g\u00f6zlenmektedir. Bahsedilen ink\u00fcbat\u00f6rler bulunduklar\u0131 mekan ve ileti\u015fime ge\u00e7tikleri payda\u015flara g\u00f6re organizasyonel olarak farkl\u0131l\u0131klar\u0131 benimseyen yap\u0131dad\u0131rlar. H\u00fck\u00fcmetler, s\u00fcrd\u00fcr\u00fclebilir ink\u00fcbat\u00f6rler ve sosyal inovasyon temelli de\u011fi\u015fiklikler i\u00e7in \u00f6nemli ve aktif payda\u015flard\u0131r. 2013 y\u0131l\u0131nda yay\u0131nlanan DESIS Lab raporuna g\u00f6re h\u00fck\u00fcmet destekli inovasyon laboratuvarlar\u0131 \u015fu \u015fekilde listelenmi\u015ftir; MaRS Solution Labs, SILK, iZone, The Studio, Nesta Labs, Innovate SF, Public Policy Lab, LA 27e R\u00e9gion, MindLab, Kennisland, New Urban Mechanics, OPM Innovation Labs, Laboratorio Para La Ciudad, Human Experience Lab, Design Gov, TACSI. Fakat bug\u00fcn bak\u0131ld\u0131\u011f\u0131nda bu listede yer alan laboratuvarlardan 2&apos;sinin aktif olmad\u0131\u011f\u0131 ve 5&apos;inin tamamen kapat\u0131ld\u0131\u011f\u0131 g\u00f6zlenmektedir. Bu da s\u00fcrd\u00fcr\u00fclebilir \u00fcretim alanlar\u0131n\u0131n kurulmas\u0131n\u0131n h\u00fck\u00fcmet deste\u011fi d\u0131\u015f\u0131nda bir\u00e7ok farkl\u0131 parametreye dayand\u0131\u011f\u0131n\u0131 g\u00f6stermektedir. Bu ara\u015ft\u0131rma T\u00fcrk politika meydan\u0131 ve T\u00fcrk b\u00fcrokratik sistemi i\u00e7erisinde olu\u015fturulabilecek siyasa yap\u0131m\u0131 ink\u00fcbat\u00f6r\u00fc \u00fczerine odaklanmaktad\u0131r. Kamu politikas\u0131na y\u00f6nelik siyasa yap\u0131m\u0131 ve laboratuvar\u0131n, tasar\u0131m ve politika ile kesi\u015fimini anlamaya y\u00f6nelik analizlerle ba\u015flayan ara\u015ft\u0131rma, sonras\u0131nda T\u00fcrk b\u00fcrokratik sisteminde halihaz\u0131rda yer alan `muhtarl\u0131k` birimini potansiyel bir ink\u00fcbat\u00f6r olarak ele al\u0131yor. Muhtarl\u0131k g\u00fcn\u00fcm\u00fcz devlet hiyerar\u015fisinde basit verilerin tutuldu\u011fu bir ofis olarak tan\u0131mlanabilir. Muhtar yasal sorumluluklar\u0131 d\u0131\u015f\u0131nda b\u00fcrokratik sistemler hakk\u0131nda bilgiye eri\u015fimi k\u0131s\u0131tl\u0131 insanlara yard\u0131mc\u0131 olmakla beraber mahalle d\u00fczeyinde temsilcilik de yapmaktad\u0131r. 1829 y\u0131l\u0131nda kurulan muhtarl\u0131k birimi Osmanl\u0131 Devleti ile ba\u015flayan siyasal ya\u015fam\u0131na g\u00fcn\u00fcm\u00fczde hala devam etmektedir. Mahalleliyle sahip oldu\u011fu co\u011frafi ve sosyal yak\u0131nl\u0131k kamu politikas\u0131na y\u00f6nelik siyasa yap\u0131m\u0131 alan\u0131 olarak ele al\u0131nmas\u0131 i\u00e7in b\u00fcy\u00fck bir potansiyel ta\u015f\u0131maktad\u0131r. Bu ara\u015ft\u0131rma devlet gelene\u011fi ve halk\u0131n kat\u0131l\u0131mc\u0131l\u0131\u011f\u0131n\u0131 harmanlayarak gelecek i\u00e7in \u00fcreten bir alan\u0131n m\u00fcmk\u00fcn olup olmad\u0131\u011f\u0131 \u00fczerine gitmektedir. Bu alan tasar\u0131m odakl\u0131 d\u00fc\u015f\u00fcnce yap\u0131s\u0131n\u0131 benimseyen bir siyasa yap\u0131m\u0131 laboratuvar\u0131 yani `do\u011fru alan` olarak tan\u0131mlanabilir. Bu alan\u0131n potansiyelini ortaya \u00e7\u0131karmak i\u00e7in ara\u015ft\u0131rmac\u0131 ilk \u00f6nce kamu politikalar\u0131 \u00fczerine okumalar yapm\u0131\u015f daha sonra muhtarl\u0131\u011f\u0131n tarihi s\u00fcre\u00e7lerini ara\u015ft\u0131rm\u0131\u015ft\u0131r. Kamu politikas\u0131 yap\u0131m\u0131n\u0131n yan\u0131nda politika analiz s\u00fcreci de bu ara\u015ft\u0131rman\u0131n i\u00e7ine dahil edilmi\u015f ve analiz s\u00fcreci ad\u0131mlar\u0131 ve y\u00f6ntemleriyle incelenmi\u015ftir. Politika analiz s\u00fcrecine dahil olan akt\u00f6rler kat\u0131l\u0131mc\u0131l\u0131klar\u0131n\u0131n yo\u011funlu\u011fu ve etkisine g\u00f6re &apos;payda\u015f&apos; ve &apos;aktif akt\u00f6r&apos; olarak ayr\u0131\u015ft\u0131r\u0131lm\u0131\u015ft\u0131r. Payda\u015flar uygulanan politikalar\u0131n etkisinde kalarak s\u00fcrece dahil olurken aktif akt\u00f6rler karar verme s\u00fcre\u00e7lerine dahil olarak analiz s\u00fcrecinde var olurlar. De\u011fi\u015fen y\u00f6netim sistemlerini ve bu de\u011fi\u015fimin sonu\u00e7lar\u0131n\u0131 \u00f6ng\u00f6rebilmek ad\u0131na bilgi teknolojileri alan\u0131nda ya\u015fanan \u00f6nemli geli\u015fmelere de\u011finen ara\u015ft\u0131rma t\u00fcm bu \u00fcretimin kayna\u011f\u0131 olarak g\u00f6sterilen mekan\u0131 yani laboratuvar\u0131 etimolojik olarak incelemi\u015ftir. Etimolojik incelemenin ard\u0131ndan laboratuvar\u0131n disiplinler aras\u0131 yakla\u015f\u0131mlarda hangi anlamlar\u0131 sa\u011flad\u0131\u011f\u0131 \u00e7evrimi\u00e7i bir k\u00fct\u00fcphanenin `laboratuvar` ve `tasar\u0131m` gibi kelimelerle filtrelenmesi sonucu analiz edilmi\u015f ve g\u00fcn\u00fcm\u00fczde kamu politikas\u0131na y\u00f6nelik siyasa yap\u0131m\u0131 ger\u00e7ekle\u015ftirilen alanlarda laboratuvar\u0131n ne gibi farkl\u0131 anlamlar\u0131 \u00fcstlendi\u011fi ara\u015ft\u0131r\u0131lm\u0131\u015ft\u0131r. Bu ara\u015ft\u0131rmaya \u00f6rnek olarak MindLab ve Dublin City Council Beta projesi incelenmi\u015f ve politika yap\u0131m\u0131 s\u00fcre\u00e7lerinde \u00f6l\u00e7ek ve yerelli\u011fin \u00f6nemi ortaya \u00e7\u0131km\u0131\u015ft\u0131r. Ara\u015ft\u0131rmac\u0131 muhtarl\u0131\u011f\u0131n g\u00fcncel konumunu alg\u0131layabilmek i\u00e7in Ka\u011f\u0131thane Belediye&apos;sine ba\u011fl\u0131 kozmopolit \u00c7eliktepe ve Be\u015fikta\u015f Belediye&apos;sine ba\u011fl\u0131 homojen Konaklar muhtarl\u0131klar\u0131nda kat\u0131l\u0131mc\u0131 g\u00f6zlem metoduyla veri toplam\u0131\u015f ve ara\u015ft\u0131rman\u0131n i\u00e7inde ill\u00fcstrasyonlar ve saha notlar\u0131 ad\u0131 alt\u0131nda g\u00f6zlemlerini payla\u015fm\u0131\u015ft\u0131r. Bu ara\u015ft\u0131rmalar sonucunda sosyal inovasyon i\u00e7in en de\u011ferli fakt\u00f6rlerden yerelli\u011fin mahalle \u00f6l\u00e7e\u011finde ne kadar g\u00fc\u00e7l\u00fc oldu\u011funu kurulan hem\u015fehrilik ba\u011flar\u0131 gibi topluluk de\u011ferleri \u00fczerinden tespit edilmi\u015ftir. Ara\u015ft\u0131rman\u0131n sonucunda sadece \u00c7eliktepe \u00f6zelinde 10&apos;dan fazla hem\u015fehrilik derne\u011fi listelenmi\u015ftir; Sivas \u0130li Koyulhisar \u0130l\u00e7esi \u00c7ukuroba K\u00f6y\u00fc Sosyal Yard\u0131mla\u015fma ve Dayan\u0131\u015fma Derne\u011fi, Konac\u0131k K\u00f6y\u00fc ve K\u00f6yl\u00fcleri Kalk\u0131nd\u0131r Derne\u011fi, Zara \u0130l\u00e7esi Kayaba\u015f\u0131 K\u00f6y\u00fc Yard\u0131mla\u015fma ve K\u00fclt\u00fcr Derne\u011fi, Ardahan \u0130li \u00d6mera\u011fa K\u00f6y\u00fc Yeni Mahalle Sosyal Dayan\u0131\u015fma ve Yard\u0131mla\u015fma Derne\u011fi, Sivas \u0130li Zara \u0130l\u00e7esi Ke\u00e7eyurt K\u00f6y\u00fc Yard\u0131mla\u015fma Derne\u011fi, Bayburt Demir\u00f6z\u00fc \u0130l\u00e7esi \u00c7ak\u0131r\u00f6z\u00fc K\u00f6y\u00fc Kalk\u0131nd\u0131rma ve Yard\u0131mla\u015fma Derne\u011fi, Sivas Koyulhisar Yaln\u0131ztepe K\u00f6y\u00fc Kalk\u0131nd\u0131rma ve G\u00fczelle\u015ftirme Derne\u011fi, Bitlis \u0130li Kasrik ve \u00c7evre K\u00f6yleri Yard\u0131mla\u015fma Dayan\u0131\u015fma ve E\u011fitim Derne\u011fi, Sivas Do\u011fan\u015far G\u00f6\u00e7\u00fck\u00f6y Kalk\u0131nd\u0131rma ve G\u00fczelle\u015ftirme Derne\u011fi, K\u00f6se G\u00f6k\u00e7e K\u00f6y\u00fc Kalk\u0131nd\u0131rma Sosyal Yard\u0131m ve K\u00fclt\u00fcr Derne\u011fi, Hafik Kazas\u0131 G\u00fcnyama\u00e7 K\u00f6y\u00fc Yard\u0131mla\u015fma ve Kalk\u0131nd\u0131rma Derne\u011fi, G\u00fcm\u00fc\u015fhane Merkez Ge\u00e7it K\u00f6y\u00fc Ya\u015fatma ve Kalk\u0131nd\u0131rma Derne\u011fi, I\u011fd\u0131r Harmand\u00f6ven K\u00f6y\u00fc ve Kervansaray Mezras\u0131 Sosyal Yard\u0131mla\u015fma ve Kalk\u0131nd\u0131rma Derne\u011fi, G\u00fcm\u00fc\u015fhane K\u00f6se \u00d6rensar K\u00f6y\u00fc Sosyal Yard\u0131mla\u015fma ve Kalk\u0131nd\u0131rma Derne\u011fi. Ayr\u0131ca yine \u00c7eliktepe \u00f6zelinde muhtarl\u0131k birimi taraf\u0131ndan y\u00fcr\u00fct\u00fclen Muhtarl\u0131k isimli otob\u00fcs dura\u011f\u0131n\u0131n yeniden mahalleye kazand\u0131r\u0131lmas\u0131 \u00f6rneklemi akt\u00f6rlerin aksiyonlar\u0131 \u00fczerinden incelenmi\u015f ve muhtara \u015fikayetlerini dile getirerek kamu politika d\u00f6ng\u00fcs\u00fcn\u00fc ba\u015flatan payda\u015flar\u0131n aktif akt\u00f6r olan muhtar taraf\u0131ndan temsil edilmesiyle sorunlar\u0131na \u00e7\u00f6z\u00fcm bulmas\u0131 anlat\u0131lm\u0131\u015ft\u0131r. Literat\u00fcr analizinde politika analizi ve tasar\u0131m odakl\u0131 d\u00fc\u015f\u00fcncenin aras\u0131ndaki ortakl\u0131klar dikkat \u00e7ekmi\u015f ve ara\u015ft\u0131rmac\u0131 iki s\u00fcreci kronolojik ad\u0131mlar\u0131 ve her ad\u0131mda uygulanan y\u00f6ntemleri noktas\u0131nda kar\u015f\u0131la\u015ft\u0131rm\u0131\u015ft\u0131r. S\u00fcre\u00e7ler genel anlam\u0131yla benzerlikler i\u00e7erirken yer ald\u0131klar\u0131 ba\u011flamlarda var olan farkl\u0131l\u0131klar\u0131n sistemlerin \u00fcrettikleri anlamlarda ayr\u0131\u015fmaya yol a\u00e7t\u0131\u011f\u0131 tespit edilmi\u015ftir. Bu noktada ara\u015ft\u0131rmac\u0131 anlam \u00fcretiminin ba\u011flamla ili\u015fkisini Krippendorf&apos;un anlamland\u0131rmaya dair \u00f6ng\u00f6rd\u00fc\u011f\u00fc s\u00fcre\u00e7le ili\u015fkilendirerek ba\u011flam\u0131n yani &apos;do\u011fru alan&apos;\u0131n y\u00f6nlendirici etkisini vurgulam\u0131\u015ft\u0131r. Benzerliklerinin yan\u0131nda s\u00fcre\u00e7lerin yap\u0131sal farkl\u0131l\u0131klar\u0131 da incelenmi\u015ftir. Kronolojik kar\u015f\u0131la\u015ft\u0131rma sonucunda birbirleriyle \u00f6rt\u00fc\u015fen fikir \u00fcretme ve alternatif se\u00e7imi, analizi a\u015famalar\u0131n\u0131n ba\u011flama dahil olan tasar\u0131m \u00f6\u011fesiyle nas\u0131l ayr\u0131\u015ft\u0131klar\u0131 tan\u0131mlanm\u0131\u015ft\u0131r. Tasar\u0131m odakl\u0131 d\u00fc\u015f\u00fcnce s\u00fcrecinde yer alan fikir \u00fcretme, tasarlama a\u015famas\u0131nda daralan problem alan\u0131n\u0131 tekrar geni\u015fletmeye y\u00f6nelik \u00e7\u00f6z\u00fcm \u00fcretimi hedeflenirken, politika analizi s\u00fcrecinde daralma hareketini destekleyen elde bulunan alternatiflerden se\u00e7im yap\u0131lmas\u0131 hedeflenmektedir. S\u0131n\u0131rlar\u0131 belli politika analizi s\u00fcrecini de dinamik politika yap\u0131m\u0131ndan ayr\u0131\u015ft\u0131ran fikir tasarlama s\u00fcrecinin politika yap\u0131m\u0131na dahil olup olmamas\u0131d\u0131r. G\u00fcn\u00fcm\u00fczde kamu politikas\u0131 yap\u0131m\u0131 i\u00e7in olu\u015fturulan laboratuvarlar da tasar\u0131m odakl\u0131 d\u00fc\u015f\u00fcnce y\u00f6ntemlerini benimseyerek politika yap\u0131m s\u00fcre\u00e7lerine fikir tasarlama a\u015famas\u0131n\u0131 adapte etmeye \u00e7abalamaktad\u0131r. Bahsedilen laboratuvarlar geli\u015fen sosyal inovasyon tan\u0131m\u0131n\u0131n \u00fcretimine katk\u0131da bulunmak i\u00e7in s\u00fcrekli olarak kendini geli\u015ftirmeye devam etmektedir. \u0130ncelenen \u00f6rnekler ve literat\u00fcr taramas\u0131 sonucunda kat\u0131l\u0131mc\u0131l\u0131k ve beraber \u00fcretme \u00fczerine s\u00fcre\u00e7 geli\u015ftirmenin politika \u00fcretimi yap\u0131lan alanlar\u0131n ve sosyal inovasyonu hedefleyen yap\u0131lar\u0131n oda\u011f\u0131nda olmas\u0131 gerekti\u011fi ve yerel kaynaklar\u0131n s\u00fcrd\u00fcr\u00fclebilir bir bi\u00e7imde \u00fcretime kat\u0131lmas\u0131 gerekti\u011fi g\u00f6r\u00fclmektedir. D\u00fcnya \u00f6l\u00e7e\u011finde laboratuvar \u00f6rneklerinde aranan ve elde edilmeye \u00e7al\u0131\u015f\u0131lan yerel ba\u011flamdaki deste\u011fin T\u00fcrk geleneksel toplum yap\u0131s\u0131nda \u00f6zellikle mahalle \u00f6l\u00e7e\u011finde do\u011fal olarak var oldu\u011fu tespit edilmi\u015f ve tasar\u0131m odakl\u0131 d\u00fc\u015f\u00fcnce metodolojilerinde \u00f6nemli yere sahip kat\u0131l\u0131mc\u0131l\u0131\u011f\u0131n uygulanmas\u0131 i\u00e7in muhtarl\u0131k \u00f6l\u00e7e\u011fi y\u00fcksek potansiyelli bir alan olarak tan\u0131mlanm\u0131\u015ft\u0131r. Umut vadeden bu \u00f6zelliklerinin yan\u0131nda muhtarl\u0131\u011f\u0131n T\u00fcrk b\u00fcrokratik sisteminde kat\u0131la\u015fm\u0131\u015f bir birim olmas\u0131n\u0131n muhtarl\u0131\u011f\u0131n kendini dinamik bir politika yap\u0131m alan\u0131na \u00e7evirmesi i\u00e7in en b\u00fcy\u00fck engellerden biri oldu\u011fu tespit edilmi\u015ftir. Kuruldu\u011fundan beri kayda de\u011fer de\u011fi\u015fikliklere u\u011framayan muhtarl\u0131k biriminin, bug\u00fcn yasal sorumluluklar\u0131 a\u00e7\u0131k olarak tan\u0131mlanamayan ve b\u00fct\u00e7e, muhtar\u0131n \u00f6zl\u00fck haklar\u0131 gibi konularda mu\u011flakl\u0131klar i\u00e7eren bir birim olmas\u0131 sebebiyle politika yap\u0131m alan\u0131 olarak potansiyeli, ancak b\u00fcrokratik olarak bu d\u00f6n\u00fc\u015f\u00fcm\u00fc destekleyecek hiyerar\u015fik bir d\u00fczen i\u00e7inde olup olmad\u0131\u011f\u0131 incelendikten sonra ara\u015ft\u0131rmaya devam edilebilir oldu\u011fu g\u00f6r\u00fclm\u00fc\u015ft\u00fcr.", "keywords": ["Turkish public administration", "Local administrations", "End\u00fcstri \u00dcr\u00fcnleri Tasar\u0131m\u0131", "Industrial Design"], "contacts": [{"organization": "\u015eahin, Bet\u00fcl", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/3275006043e7d22b93081cadd4678b15"}, {"rel": "self", "type": "application/geo+json", "title": "3275006043e7d22b93081cadd4678b15", "name": "item", "description": "3275006043e7d22b93081cadd4678b15", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3275006043e7d22b93081cadd4678b15"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-05-08T00:00:00Z"}}, {"id": "38969113", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:26:36Z", "type": "Journal Article", "created": "2024-07-03", "title": "Novel strategies for the determination of plastic additives derived from agricultural plastics in soil using ultrahigh-performance liquid chromatography tandem mass spectrometry (UHPLC-MS/MS)", "description": "Certain agricultural plastics, i.e., mulching films, are generally considered as potent sources of micro- and nanoplastics (MNPs), due to their direct application on soil and waste mishandling. During the synthesis and fabrication of such agricultural plastics, it is necessary to use chemicals, the so-called plastic additives (PAs), improving the physicochemical properties of the final polymeric product. However, since PAs are loosely bound on the polymer matrix, they can potentially leach into the soil environment with unidentified effects. Clearly, to monitor the fate of PAs in the terrestrial ecosystem, it is necessary to develop accurate, sensitive and robust analytical methods. To this end, a comprehensive analytical strategy was developed for monitoring 16 PAs with diverse physicochemical properties (partition coefficient; -3\u00a0<\u00a0logP<19) in soil samples using ultra-high-performance liquid chromatography coupled to tandem mass spectrometry (UHPLC-MS/MS). For this purpose, two different extraction procedures were developed, namely, a single step ultrasound-assisted extraction (UAE) using ethyl acetate or an aqueous solution of methanol and a binary extraction, combining Quick, Easy, Cheap, Effective, Rugged and Safe (QuEChERS) and UAE principles with n-hexane as the extractant. Interestingly, within the sample preparation investigation, we identified in-lab contamination sources of PAs, e.g., centrifuge tubes or microfilters. Such consumables are made of plastic contaminating the procedural blanks and omitting their use was necessary to acquire satisfactory analytical performance. In detail, method validation was performed for 16 compounds achieving recoveries mainly in the range 70-120\u00a0%, repeatability (expressed as relative standard deviation, RSD %)\u00a0<\u00a020\u00a0% and limits of quantification (LOQs) ranging between 0.2 and 20\u00a0ng/g dry weight (dw). Importantly, the presented strategies are added to the very limited available for PA determination in soil, a topical issue with a significant and rather understudied impact on agriculture.", "keywords": ["Soil", "Tandem Mass Spectrometry", "Soil Pollutants", "Agriculture", "Plastics", "Chromatography", " High Pressure Liquid", "Environmental Monitoring"]}, "links": [{"href": "https://doi.org/38969113"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "38969113", "name": "item", "description": "38969113", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/38969113"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-01T00:00:00Z"}}, {"id": "10.1002/ldr.2726", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:14:27Z", "type": "Journal Article", "created": "2017-02-23", "title": "Conservation Agriculture Had A Poor Impact On The Soil Porosity Of Veneto Low-Lying Plain Silty Soils After A 5-Year Transition Period", "description": "Abstract<p>Conservation agriculture practices have been proposed as a set of techniques for improving soil structure properties and related ecosystem services. This study compared conservation agriculture (CA) practices (no\uffe2\uff80\uff90tillage, cover crop and residue retention) and conventional intensive tillage system in order to evaluate their effects on total porosity, pore size distribution, pore architecture and morphology. The experiment was set up in 2010 on four farms of the low\uffe2\uff80\uff90lying Veneto Region plain characterized by silty soils. Almost hundred soil samples were collected in 2015 at four depths down to 50\uffe2\uff80\uff90cm layer and investigated for porosity from micrometre (0\uffc2\uffb70074\uffc2\uffa0\uffce\uffbcm) to macrometre (2\uffc2\uffb75\uffc2\uffa0mm) by coupling mercury intrusion porosimetry and X\uffe2\uff80\uff90ray computed microtomography (\uffce\uffbcCT). Indices of soil morphology and architecture were derived by analysing 3D images and mercury intrusion porosimetry pore size curves. Results suggested that silty soils of Veneto plain are microstructured because much (82%) of the porosity ranged between 0\uffc2\uffb70074 and 30\uffc2\uffa0\uffce\uffbcm. CA practices positively influenced the ultramicroporosity class (0\uffc2\uffb71\uffe2\uff80\uff935\uffc2\uffa0\uffce\uffbcm) (1\uffc2\uffb786E\uffe2\uff80\uff9001 vs 1\uffc2\uffb767E\uffe2\uff80\uff9001\uffc2\uffa0\uffce\uffbcm3\uffc2\uffa0\uffce\uffbcm\uffe2\uff88\uff923) that is strictly linked to soil organic carbon stabilization while no effects were observed in X\uffe2\uff80\uff90ray \uffce\uffbcCT porosity domain (&gt; 26\uffc2\uffa0\uffce\uffbcm). Silty soils of Veneto plain showed a slow reaction to CA because of the poor aggregate stability and low soil organic carbon. However, the positive response of the ultramicropore fraction indicates that a virtuous cycle was initiated between soil organic carbon and porosity, hopefully leading to well\uffe2\uff80\uff90developed macropore systems and, in turn, enhanced soil functions and ecosystem services. Copyright \uffc2\uffa9 2017 John Wiley &amp; Sons, Ltd.</p>", "keywords": ["2. Zero hunger", "Conservation agriculture; Mercury intrusion porosimetry; Pore morphology and architecture; Pore size distribution; X-ray computed microtomography; Environmental Chemistry; Development3304 Education; 2300; Soil Science", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land"]}, "links": [{"href": "https://doi.org/10.1002/ldr.2726"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Land%20Degradation%20%26amp%3B%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/ldr.2726", "name": "item", "description": "10.1002/ldr.2726", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/ldr.2726"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-05-12T00:00:00Z"}}, {"id": "10.1007/s10021-013-9690-z", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:14:55Z", "type": "Journal Article", "created": "2013-06-28", "title": "Pedogenic Thresholds And Soil Process Domains In Basalt-Derived Soils", "description": "Pedogenic thresholds occur where soil properties change abruptly and/or nonlinearly with a small increment in environmental forcing; soil process domains are the regions between thresholds where soils change much more gradually across a large range of environmental forcing. We evaluated thresholds and domains in basalt-derived soils on two rainfall gradients in Hawaii\u2014one from 260 to 3,540 mm/y precipitation on 150,000-year-old substrate, the other from 600 to 3,760 mm/y on 4,100,000-year-old substrate. We identified thresholds associated with the initiation of biological uplift of nutrients at about 700 mm/y on the younger substrate, the depletion of primary minerals at about 2,100 mm/y on the younger and about 900 mm/y on the older substrate, and the initiation of anoxic conditions and associated Fe mobility at about 2,500 mm/y on the older substrate. These thresholds delineated process domains characterized by pedogenic carbonate accumulation and wind erosion (dry young substrate); by weathering and biological uplift of nutrients (intermediate rainfall young substrate and dry old substrate); by surface Fe enrichment and nutrient depletion (wet young substrate and intermediate rainfall old substrate); and by Fe mobilization and loss (wet old substrate). Soils on the older substrate were more highly weathered, lower in total and available P, and characterized by more crystalline clays than otherwise comparable soils on the younger substrate. Prior to European contact, Hawaiian cultivators developed an intensive rainfed agricultural system in the weathering/biological uplift domain on the younger substrate; we suggest that only this domain could support indigenous agricultural intensification in upland soils.", "keywords": ["2. Zero hunger", "Ecology", "biological uplift", "pedogenic threshold", "04 agricultural and veterinary sciences", "Biological Sciences", "15. Life on land", "01 natural sciences", "Hawaii", "gradient", "weathering", "Environmental Chemistry", "0401 agriculture", " forestry", " and fisheries", "indigenous agriculture", "process domain", "Environmental Sciences", "Ecology", " Evolution", " Behavior and Systematics", "basalt-derived soil", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Vitousek, Peter M, Chadwick, Oliver A,", "roles": ["creator"]}]}, "links": [{"href": "https://escholarship.org/content/qt0267w3mm/qt0267w3mm.pdf"}, {"href": "https://doi.org/10.1007/s10021-013-9690-z"}, {"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/s10021-013-9690-z", "name": "item", "description": "10.1007/s10021-013-9690-z", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10021-013-9690-z"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-06-29T00:00:00Z"}}, {"id": "10.1016/j.apsoil.2016.04.010", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:15:50Z", "type": "Journal Article", "created": "2016-04-30", "title": "Effect Of 35 Years Inorganic Fertilizer And Manure Amendment On Structure Of Bacterial And Archaeal Communities In Black Soil Of Northeast China", "description": "Abstract   Black soil is common in northeast China and plays an important role in Chinese crop production. However, in the past three decades, inappropriate use of fertilizer has caused a sequence of agroecological issues. The objective of this research was to evaluate the effect of long-term fertilizer on the microbial communities in black soil. The soil was subjected to four fertilization regimes: without fertilizer (CK); manure (M); nitrogen, phosphorus and potassium inorganic fertilizer (NPK); and inorganic fertilizers with manure (MNPK). The soil pH was decreased by inorganic fertilizers and increased by manure. Quantitative PCR analysis of microbial community size and Illumina platform-based analysis of the V4 16S rRNA gene region were performed to characterize soil microbial abundance and to compare community structure and diversity. Microbial community size was enhanced by the incorporation of inorganic fertilizer and manure. Microbial diversity was decreased by inorganic fertilizer and increased by the incorporation of inorganic fertilizer and manure. The predominate phyla in all samples were Proteobacteria (29.39\u201333.48%), Acidobacteria (13.14\u201316.25%) and Actinobacteria (9.32\u201310.77%). The relative abundance of different classes significantly differed among the different treatments, especially MNPK and NPK. Acidobacteria and Deltaproteobacteria were relatively stable in organic fertilizer treated soil. Gammaproteobacteria, Alphaproteobacteria and Betaproteobacteria were sensitive to all the fertilization regimes. Comparatively, Spartobacteria was stable in response to fertilization practices. Principal coordinate analysis indicated that microbial communities were primarily clustered into three groups: CK and M were clustered together; MNPK was improved by manure and separated from NPK. Shannon and Simpson indexes were significantly correlated with soil pH and the concentrations of available phosphorus and total phosphorus. Redundancy analysis indicates that microbial communities were closely positively correlated with soil nitrate nitrogen concentration (P\u00a0=\u00a00.002) and pH (P\u00a0=\u00a00.002). These results indicate that inorganic fertilizer plus manure increased microbial size and diversity and changed microbial composition.", "keywords": ["2. Zero hunger", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "14. Life underwater", "15. Life on land", "6. Clean water"], "contacts": [{"organization": "Li Li, Dawei Guan, Baoku Zhou, Jun Li, Xin Jiang, Baisuo Zhao, Jing Zhou, Fengming Cao, Jianli Ding, Mingchao Ma,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.apsoil.2016.04.010"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Applied%20Soil%20Ecology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.apsoil.2016.04.010", "name": "item", "description": "10.1016/j.apsoil.2016.04.010", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.apsoil.2016.04.010"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-09-01T00:00:00Z"}}, {"id": "10.1016/j.agee.2017.04.007", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:15:39Z", "type": "Journal Article", "created": "2017-04-21", "title": "Shade Trees Have Limited Benefits For Soil Fertility In Cocoa Agroforests", "description": "Abstract   Agroforestry is often promoted as a sustainable agricultural practice that can ameliorate causes of declining yields, such as soil degradation. However, despite the often-stated potential of agroforestry, quantitative data on the benefits of shade trees are limited to relatively few cropping systems, particularly maize and coffee. Furthermore, agroforests are not cost-free and the benefits of agroforests might not be sufficient to outweigh these costs in all cropping systems or environments. Here we quantify costs and benefits of agroforests for cocoa production in Ghana, West Africa. Specifically, we quantified the ability of shade trees to increase soil carbon stocks and soil fertility (i.e. total soil carbon, nitrogen and phosphorus, available phosphorus and potassium, cation exchange capacity, soil aggregation, pH, and foliar nitrogen and phosphorus concentrations), and investigate if these benefits are sufficient to outweigh the negative effects of shade trees on cocoa growth and yields. We measured cocoa yields, soil fertility and carbon-sequestration under individual shade trees, and in 30\u00a0\u00d7\u00a030\u00a0m plots that were distributed along a gradient of shade-tree cover (plot-scale). We found localized positive effects of individual shade trees on soil carbon and nitrogen content, as well as soil aggregation. However, we found no evidence for positive effects of agroforests via improved soil fertility or carbon-sequestration with increasing shade-tree cover at the plot scale, a scale that more closely matches the scale at which agroforests are managed. Cocoa growth was lower under individual shade trees and decreased with increasing shade-tree cover in plots, and cocoa yields also decreased with increasing shade-tree cover. Our results indicate that the benefits of agroforestry for soil fertility and carbon sequestration in cocoa cultivation systems might not be as extensive as believed, and may not be sufficient to compensate for short-term costs to production.", "keywords": ["Theobroma-Cacao", "2. Zero hunger", "571", "Landscapes", "Tropical Agroforestry", "Systems", "Biodiversity", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "Management", "12. Responsible consumption", "Stocks", "Carbon-Sequestration", "0401 agriculture", " forestry", " and fisheries", "Forest", "Trade-Offs", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.agee.2017.04.007"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agriculture%2C%20Ecosystems%20%26amp%3B%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agee.2017.04.007", "name": "item", "description": "10.1016/j.agee.2017.04.007", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agee.2017.04.007"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-06-01T00:00:00Z"}}, {"id": "10.1016/j.ijpddr.2024.100546", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:16:37Z", "type": "Journal Article", "created": "2024-05-05", "title": "Robenidine derivatives as potential antischistosomal drug candidates", "description": "Schistosomiasis caused by Schistosoma spp. is a disease that causes a considerable health burden to millions of people worldwide. The limited availability of effective drugs on the market and the increased risk of resistance development due to extensive usage, highlight the urgent need for new antischistosomal drugs. Recent studies have shown that robenidine derivatives, containing an aminoguanidine core, exhibit promising activities against Plasmodium falciparum, motivating further investigation into their efficacy against Schistosoma mansoni, due to their similar habitat and the resulting related cellular mechanisms like the heme detoxification pathway. The conducted phenotypic screening of robenidine and 80 derivatives against newly transformed schistosomula and adult Schistosoma mansoni yielded 11 candidates with low EC50 values for newly transformed schistosomula (1.12-4.63\u00a0\u03bcM) and adults (2.78-9.47\u00a0\u03bcM). The structure-activity relationship revealed that electron-withdrawing groups at the phenyl moiety, as well as the presence of methyl groups adjacent to the guanidine moiety, enhanced the activity of derivatives against both stages of Schistosoma mansoni. The two compounds 2,2'-Bis[(3-cyano-4-fluorophenyl)methylene] carbonimidic Dihydrazide Hydrochloride (1) and 2,2'-Bis[(4-difluoromethoxyphenyl) ethylidene] carbonimidic Dihydrazide Hydrochloride (19), were selected for an in vivo study in Schistosoma mansoni-infected mice based on their potency, cytotoxicity, pharmacokinetic-, and physicochemical properties, but failed to reduce the worm burden significantly (worm burden reduction <20%). Thus, robenidine derivatives require further refinements to obtain higher antischistosomal specificity and in vivo activity.", "keywords": ["Male", "0301 basic medicine", "0303 health sciences", "Drug discovery", "Infectious and parasitic diseases", "RC109-216", "Schistosoma mansoni", "Structure-activity relationship", "Guanidines", "Article", "Schistosomiasis mansoni", "3. Good health", "Mice", "Schistosomicides", "Structure-Activity Relationship", "03 medical and health sciences", "Aminoguanidine", "Animals", "Female", "Robenidine derivative"], "contacts": [{"organization": "Christian N. Lotz, Alina Krollenbrock, Lea Imhof, Michael Riscoe, Jennifer Keiser,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.ijpddr.2024.100546"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Journal%20for%20Parasitology%3A%20Drugs%20and%20Drug%20Resistance", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.ijpddr.2024.100546", "name": "item", "description": "10.1016/j.ijpddr.2024.100546", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.ijpddr.2024.100546"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-08-01T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=de&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=de&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=de&", "hreflang": "en-US"}, {"rel": "next", "type": "application/geo+json", "title": "items (next)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=de&offset=50", "hreflang": "en-US"}], "numberMatched": 11063, "numberReturned": 50, "distributedFeatures": [], "timeStamp": "2026-07-26T00:10:53.872352Z"}