The triple oxygen isotope signature \uffce\uff9417O in atmospheric CO2, also known as its \uffe2\uff80\uff9c17O excess,\uffe2\uff80\uff9d has been proposed as a tracer for gross primary production (the gross uptake of CO2 by vegetation through photosynthesis). We present the first global 3\uffe2\uff80\uff90D model simulations for \uffce\uff9417O in atmospheric CO2 together with a detailed model description and sensitivity analyses. In our 3\uffe2\uff80\uff90D model framework we include the stratospheric source of \uffce\uff9417O in CO2 and the surface sinks from vegetation, soils, ocean, biomass burning, and fossil fuel combustion. The effect of oxidation of atmospheric CO on \uffce\uff9417O in CO2 is also included in our model. We estimate that the global mean \uffce\uff9417O (defined as with \uffce\uffbbRL = 0.5229) of CO2 in the lowest 500\uffc2\uffa0m of the atmosphere is 39.6\uffc2\uffa0per meg, which is \uffe2\uff88\uffbc20\uffc2\uffa0per meg lower than estimates from existing box models. We compare our model results with a measured stratospheric \uffce\uff9417O in CO2 profile from Sodankyl\uffc3\uffa4 (Finland), which shows good agreement. In addition, we compare our model results with tropospheric measurements of \uffce\uff9417O in CO2 from G\uffc3\uffb6ttingen (Germany) and Taipei (Taiwan), which shows some agreement but we also find substantial discrepancies that are subsequently discussed. Finally, we show model results for Zotino (Russia), Mauna Loa (United States), Manaus (Brazil), and South Pole, which we propose as possible locations for future measurements of \uffce\uff9417O in tropospheric CO2 that can help to further increase our understanding of the global budget of \uffce\uff9417O in atmospheric CO2.
", "keywords": ["CARBONIC-ANHYDRASE ACTIVITY", "550", "STRATOSPHERIC CO2", "STOMATAL CONDUCTANCE", "TRACER", "stable isotopes", "MASS", "carbon dioxide (CO)", "01 natural sciences", "7. Clean energy", "DIOXIDE EXCHANGE", "O excess (\u0394O)", "3-DIMENSIONAL SYNTHESIS", "carbon dioxide (CO2)", "carbon cycle", "O-17 excess (Delta O-17)", "SDG 13 - Climate Action", "SDG 14 - Life Below Water", "Research Articles", "0105 earth and related environmental sciences", "O-18 CONTENT", "info:eu-repo/classification/ddc/550", "mass-independent fractionation (MIF)", "ddc:550", "gross primary production (GPP)", "15. Life on land", "Earth sciences", "13. Climate action", "MODEL TM5", "17O excess (\u039417O)", "FIRE EMISSIONS"]}, "links": [{"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2019JD030387"}, {"href": "https://doi.org/10.1029/2019jd030387"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geophysical%20Research%3A%20Atmospheres", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1029/2019jd030387", "name": "item", "description": "10.1029/2019jd030387", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1029/2019jd030387"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-08-04T00:00:00Z"}}, {"id": "10.1111/j.1438-8677.2012.00686.x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:18:45Z", "type": "Journal Article", "created": "2012-12-22", "title": "Nitrogen Dynamics In Oak Model Ecosystems Subjected To Air Warming And Drought On Two Different Soils", "description": "AbstractBeing tolerant to heat and drought, oaks are promising candidates for future forestry in view of climate change inCentralEurope. Air warming is expected to increase, and drought decrease soilNavailability and thusNsupply to trees. Here, we conducted a model ecosystem experiment, in which mixed stands of young oaks (Quercus robur,Q.\uffc2\uffa0petraeaandQ.\uffc2\uffa0pubescens) were grown on two different soils and subjected to four climate treatments during three growing seasons: air warming by 1\uffe2\uff80\uff932\uffc2\uffa0\uffc2\uffb0C, drought periods (average precipitation reduction of 43\uffe2\uff80\uff9360%), a combination of these two treatments, and a control. In contrast to our hypotheses, neither air warming nor drought significantly affectedNavailability, whereas total amounts, vertical distribution and availability of soilNshowed substantial differences between the two soils. While air warming had no effect on tree growth andNaccumulation, the drought treatment reduced tree growth and increased, or tended to increase,Naccumulation in the reduced biomass, indicating that growth was not limited byN. Furthermore,15N\uffe2\uff80\uff90labelling revealed that this accumulation was associated with an increased uptake of nitrate. On the basis of our results, climate change effects onNdynamics are expected to be less important in oak stands than reduced soil water availability.
", "keywords": ["0106 biological sciences", "Hot Temperature", "Nitrogen", "Climate", "Rain", "Quercus petraea", "Nitrate", "Global Warming", "Models", " Biological", "01 natural sciences", "Quercus", "Soil", "Species Specificity", "Stress", " Physiological", "Climate change", "Biomass", "Ecosystem", "Nitrates", "Air", "Water", "04 agricultural and veterinary sciences", "15. Life on land", "Adaptation", " Physiological", "6. Clean water", "Droughts", "15N tracer", "Recovery rate", "Quercus pubescens", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Quercus robur", "Ammonium"]}, "links": [{"href": "https://doi.org/10.1111/j.1438-8677.2012.00686.x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/j.1438-8677.2012.00686.x", "name": "item", "description": "10.1111/j.1438-8677.2012.00686.x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/j.1438-8677.2012.00686.x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-12-21T00:00:00Z"}}, {"id": "10.5061/dryad.7wm37pw23", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:11Z", "type": "Dataset", "created": "2024-06-13", "title": "Data from: Patterns and drivers of atmospheric nitrogen deposition retention in global forests", "description": "unspecified# Patterns and drivers of atmospheric nitrogen deposition retention in global forests We searched the Web of Science Database for peer-reviewed papers prior to February 22, 2023, using \u201cretention\u201d and \u201cN-15\u201d as the keywords. The following criteria were applied to filter the peer-reviewed papers: (1) Selection of 15N tracer experiments in forest ecosystems conducted in the field, excluding laboratory incubation or greenhouse experiments; (2) Selection of the absolute value of 15N retention obtained from the 15N tracer experiment, excluding the relative value; (3) Selection of 15N tracer experiments including N addition treatments, excluding other treatments such as fire, phosphorus (P) addition, potassium addition, etc. Due to limited data on litter layers and understory vegetation components (i.e., shrubs, herbs, and grasses), the 15N retention of litter layers was combined into organic soil 15N retention. Within the entire forest ecosystem, the 15N retention of understory vegetation was not consider, focusing instead on the 15N allocation among different plant organs (i.e., leaves, branches, stems, roots). Ultimately, 408 observations were obtained from 56 peer-reviewed papers, totaling 62 sites and 92 site-years. The study sites were distributed across North America (25 sites), Europe (14 sites), Asia (14 sites), South America (3 sites), Oceania (4 sites), and Africa (2 sites), covering tropical forests (5 sites), subtropical forests (10 sites), temperate forests (42 sites), and boreal forests (5 sites). Raw data for 15N retention of different ecosystem compartments were obtained from tables, figures, results, or supplementary information in the peer-reviewed papers. When data were presented in figures, specific values were extracted using Getdata software 2.22 (GetData, Kogarah, NSW, AUS). Note: N_retention_data_v2 is based on N_retention_data_v1, with the addition of raw data. 'XX' in the 'forest_type' and '15N_tracer_type' sheets represents the 15N retention in different ecosystem compartments (i.e., plant, leaf, branch, stem, root, soil, organic soil, mineral soil, and total ecosystem).\u00a0'XX_n' in the 'forest_type' and '15N_tracer_type' sheets represents the sample size of 'XX'.\u00a0'XX_mean' in the 'forest_type' and '15N_tracer_type' sheets represents the mean value of 'XX'.\u00a0'XX_se' in the 'forest_type' and '15N_tracer_type' sheet represents the standard error of the mean value of 'XX'. 'NA' in the 'raw_data' sheet represents unavailable observed data. 'MAT_CRU' and 'MAP_CRU' columns of the 'raw_data' sheet indicate that the missing values in the references are extracted from the CRU.", "keywords": ["ammonium", "nitrogen retention", "15N tracer", "plant organs", "nitrate", "nitrogen allocation", "Forest", "FOS: Natural sciences"], "contacts": [{"organization": "Lin, Quanhong, Zhu, Jianxing, Wang, Qiufeng, Zhang, Qiongyu, Yu, Guirui,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.7wm37pw23"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.7wm37pw23", "name": "item", "description": "10.5061/dryad.7wm37pw23", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.7wm37pw23"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-06-23T00:00:00Z"}}, {"id": "10.4314/sajas.v40i5.65358", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-24T16:20:50Z", "type": "Journal Article", "created": "2011-11-30", "description": "This study aimed at evaluating the effect of sodium monensin and protein supplementation in the enteric methane production and the population of ruminal protozoa in bovine fed Brachiaria brizantha Marandu cultivar hay. The treatments were: mineralized salt, mineralized salt with monensin, proteinenriched salt and protein-enriched salt with monensin. The experimental outline was in a 4 x 4 Latin square. The protein supplementation increased the dry matter intake and the total concentrations of rumen ciliate protozoa. Monensin eliminated the rumen fauna and reduced the methane production. Methane production was 19.13; 15.73; 24.35 and 11.52 g/kg of ingested DM when mineralized salt, mineralized salt with monensin, protein-enriched salt and protein-enriched salt with monensin were supplied, respectively. The association between the inputs allows for a reduction in the methane production without a reduction in dry matter intake.", "keywords": ["ionophore", "2. Zero hunger", "Marandu hay", "ciliate protozoa", "SF6 tracer technique", "enteric methane"]}, "links": [{"href": "https://doi.org/10.4314/sajas.v40i5.65358"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/South%20African%20Journal%20of%20Animal%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.4314/sajas.v40i5.65358", "name": "item", "description": "10.4314/sajas.v40i5.65358", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.4314/sajas.v40i5.65358"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-04-12T00:00:00Z"}}, {"id": "10.5061/dryad.8931zcrwj", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:11Z", "type": "Dataset", "created": "2023-07-04", "title": "Data from: Litter quality controls tradeoffs in soil carbon decomposition and replenishment in a subtropical forest", "description": "Species-rich forests can produce litter of varying carbon (C) and nitrogen (N) composition (i.e., quality), which can affect decomposition and play a central role in long-term soil organic carbon (SOC) accumulation. However, how differences in litter quality affect SOC decomposition and formation remains unclear over the full litter decomposition trajectory.\u00a0 We followed the in-situ complete decomposition of added 13C-labelled high- (low C:N) and low-quality (high C:N) leaf-litter and its effect on particulate (POM) and mineral-associated (MAOM) organic matter fractions over two years in a natural subtropical forest. We found that during early stages of decomposition, low-quality litter inputs decreased SOC via a positive priming effect (i.e., new C inputs favored decomposition of native SOC), but these SOC losses were offset by SOC gains observed via a negative priming effect during decomposition of high-quality litter. In contrast, this pattern reversed during late stages of decomposition\u2014SOC losses via a positive priming effect induced by high-quality litter were offset by SOC gains via a negative priming effect induced by low-quality litter. Over the full decomposition of litter, both high- and low-quality litter stimulated microbial breakdown of SOC tied to POM, but also replenished more persistent SOC that associated with soil minerals (MAOM). Altogether, we observed that low-quality litter formed twice as much new SOC as high-quality litter (24% vs. 12% of added litter-C). We extend the notion of the priming effect\u00a0from primarily a negative role promoting losses of native SOC, to a functional role that can replenish persistent SOC. Synthesis. Our measurements raise the possibility that, in species-rich forests, high- and low-quality litter decomposition play opposite but dynamically complementary roles in renewing POM\u2014both by inducing its decomposition and formation\u2014while exclusively favoring MAOM formation, which can help explain how differences in litter quality favor SOC accumulation and persistence. Global change factors that shift plant community composition may ultimately affect the fate of soil C, as changes in litter quality may force soil transitions from sinks to sources or sources to sinks of atmospheric CO2.", "keywords": ["complementary effect", "species-rich forests", "13C-labelled tree litter", "isotope tracer field experiment", "15. Life on land", "Priming effect", "litter-quality", "FOS: Natural sciences"], "contacts": [{"organization": "Lyu, Maokui, Homyak, Peter, Xie, Jinsheng, Pe\u00f1uelas, Josep, Ryan, Michael, Xiong, Xiaoling, Sardans, Jordi, Lin, Weisheng, Wang, Minhuang, Chen, Guangshui, Yang, Yusheng,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.8931zcrwj"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.8931zcrwj", "name": "item", "description": "10.5061/dryad.8931zcrwj", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.8931zcrwj"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-07-10T00:00:00Z"}}, {"id": "10.5061/dryad.t3k2t2j", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:18Z", "type": "Dataset", "created": "2023-08-17", "title": "Data from: Fate of atmospherically deposited NH4+ and NO3- in two temperate forests in China: temporal pattern and redistribution", "description": "The impacts of anthropogenic nitrogen (N) deposition on forest ecosystems depend in large part on its fate. However, our understanding of the fates of different forms of deposited N as well as the redistribution over time within different ecosystems is limited. In this study, we used the 15N-tracer method to investigate both the short-term (1 week to 3 months) and long-term (1 to 3 years) fates of deposited NH4+ or NO3- by following the recovery of the 15N in different ecosystem compartments in a larch plantation forest and a mixed forest located in northeastern China. The results showed similar total ecosystem retention for deposited NH4+ and NO3-, but their distribution within the ecosystems (plants vs soil) differed distinctly particularly in the short-term, with higher 5NO3- recoveries in plants (while lower recoveries in organic layer) than found for 15NH4+. The different short-term fate was likely related to the higher mobility of 15NO3- than 15NH4+ in soils instead of plant uptake preferences for NO3- over NH4+. In the long-term, differences between N forms became less prevalent but higher recoveries in trees (particularly in the larch forest) of\u00a015NO3- than 15NH4+ tracer persisted, suggesting that incoming NO3- may contribute more to plant biomass increment and forest carbon sequestration than incoming NH4+. Differences between the two forests in recoveries were largely driven by a higher 15N recovery in the organic layer (both N forms) and in trees (for 5NO3-) in the larch forest compared to the mixed forest. This was due to a more abundant organic layer and possibly higher tree N demand in the larch forest than in the mixed forest. Leachate 15N loss was minor (<1% of the added 15N) for both N forms and in both forests. Total 15N recovery averaged 78% in the short-term and decreased to 55% in the long-term but with increasing amount of 15N label (re)-redistributed into slow turn-over pools (e.g., trees and mineral soil). The different retention dynamics of deposited NH4+ and NO3- may have implications in environmental policy related to the anthropogenic emissions of the two N forms.", "keywords": ["15N tracer", "N retention and redistribution", "FOS: Earth and related environmental sciences", "15. Life on land"]}, "links": [{"href": "https://doi.org/10.5061/dryad.t3k2t2j"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.t3k2t2j", "name": "item", "description": "10.5061/dryad.t3k2t2j", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.t3k2t2j"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-04-26T00:00:00Z"}}, {"id": "10.5281/zenodo.13982527", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:22:08Z", "type": "Software", "title": "Deliverable D4.2 - Planning & design tool for drinking water treatment for PFAS & industrial chemicals", "description": "A planning and design tool for the removal of Per- and Polyfluoroalkyl substances (PFAS) and other industrial persistent, mobile and potentially toxic (iPMT) substances for drinking water treatment plants with DOC-rich source water was developed. Within PROMISCES technologies to remediate PFAS and iPMT(s) in several environmental media have been developed. This deliverable D2.4 'Planning & design tool for drinking water treatment for PFAS & industrial chemicals' reports on a tool developed to improve planning and design of drinking water treatment trains for PFAS and iPMT, especially focussing on the adsorption onto granular activated carbon (GAC), alternative adsorbents and removal using ion exchange (IX) resins. Despite several previous studies on PFAS and iPMT removal during drinking water treatment, there are still information gaps on how to best implement suitable treatment trains in practice. The design of a suitable treatment train will depend on the effectiveness of the adsorbent for the removal of various mixtures of chemicals, different background water qualities as well as treatment goals. Modelling tools can be used to predict treatment performance under varying conditions and are especially helpful to improve the informative value of pilot tests. For example, potential changes in influent concentration, background water quality, flow rate, adsorbent bed height not covered in pilot tests can be simulated using models. Whereas GAC adsorption is already well studied, competitive adsorption of dissolved organic matter (DOM) and PFAS and iPMT is less understood and design tools are lacking. The developed drinking water treatment and design tool (DWTDT) is applicable for fixed-bed adsorber design in water treatment trains. It allows to predict operation times until exhaustion of fixed-bed adsorbers using GAC or ion exchange resins. This includes a rough estimation of ideal breakthrough using equilibrium isotherm data as main input data as well as prediction of the dynamic breakthrough using additional input parameters describing internal and external mass transfer. Dynamic breakthrough prediction is based on the pore surface diffusion model (PSDM) developed by the United States Environmental Protection Agency (EPA) and extended with the so-called tracer model (TRM), allowing to map the breakthrough of DOM and its competing effects on PFAS and iPMT removal. Both, the original model by the EPA as well as the DWTDT were developed using the programming language python. A user interface was built for the DWTDT to make it more user-friendly. The model was tested with experimental input data from the laboratory tests and validated with pilot plant data gained in the PROMISCES project. The DWTDT is publicly available on GitHub. This will allow users to simulate simultaneous DOM, PFAS and iPMT breakthrough in drinking water treatment trains using adsorbents or ion exchange resins provided the necessary input data including single solute isotherm data, external mass transfer coefficients, internal diffusion coefficients, adsorption parameters for DOM background are known or can be estimated.", "keywords": ["Deliverable", "Adsorption Analysis", "iPMT", "PFAS", "Tracer Model", "Pore Surface Diffusion Model", "H2020 PROMISCES", "Adsorption", "Drinking water treatment processes", "Ideal Adsorbed Solution Theory"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13982527"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13982527", "name": "item", "description": "10.5281/zenodo.13982527", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13982527"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-23T00:00:00Z"}}, {"id": "10.5424/sjar/2006044-212", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:23:29Z", "type": "Journal Article", "created": "2013-11-21", "description": "Soil degradation is the result of interactions involving the soil itself, human activity, climate, relief, and vegetation. These can lead to changes in —or even the loss of— certain characteristics of the soil, reducing its present and future productive capacity. The aim of this study was to determine the behaviour of a number of soil physical variables and total organic carbon content, as well as the root activity and yield of crops grown in rotation (soybean in 1998/1999 and maize in 1999/2000) under direct sowing (DS) and conventional tillage (CT) conditions. Root activity was assessed using an isotopic methodology involving the uptake of 32P. The root activity of the soybean crop, which grew under normal rainfall conditions, was greater under CT conditions. That of the maize crop, which grew when rainfall was well below normal, was greater under DS conditions. Bulk density was higher and total porosity lower in the upper 0.10 m of the soil in the DS plots. Conventional tillage led to lower penetration resistance values in the upper layers of the soil profile. No differences in soil total organic carbon were found between the two tillage systems. The soil water content of the upper soil layers was higher under DS. The yield of the soybean crop under CT was 57% higher than under DS. The yield of maize was affected by water deficiency; higher yields were obtained with DS than with CT.
", "keywords": ["Glycine max", "Argentina", "Rendimiento de cultivos", "Soil fertility", "Zea mays", "Tracer techniques", "Glycine max; Zea mays; Crop rotation; Conventional tillage; Zero tillage; Soil chemicophysical properties; Soil fertility; Tracer techniques; Crop yield; Argentina", "Glycine max; Zea mays; Rotaci\u00f3n de cultivos; Labranza convencional; Cero-labranza; Propiedades f\u00edsico - qu\u00edmicas suelo; Fertilidad del suelo; T\u00e9cnicas de trazadores; Rendimiento de cultivos; Argentina", "Crop rotation", "Labranza convencional", "Crop yield", "Fertilidad del suelo", "2. Zero hunger", "Conventional tillage", "Soil chemicophysical properties", "0402 animal and dairy science", "04 agricultural and veterinary sciences", "15. Life on land", "T\u00e9cnicas de trazadores", "6. Clean water", "Propiedades f\u00edsico - qu\u00edmicas suelo", "Zero tillage", "0401 agriculture", " forestry", " and fisheries", "Rotaci\u00f3n de cultivos", "AGRICULTURAL ENGINEERING", "Cero-labranza"], "contacts": [{"organization": "Barrios, M.B., Bozzo, A.A., Debelis, S.P., Pereyra, A.M., Buj\u00e1n, A.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5424/sjar/2006044-212"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Spanish%20Journal%20of%20Agricultural%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5424/sjar/2006044-212", "name": "item", "description": "10.5424/sjar/2006044-212", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5424/sjar/2006044-212"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2006-12-01T00:00:00Z"}}, {"id": "10.5281/zenodo.8079165", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:23:22Z", "type": "Software", "title": "MagHut model - modelling tool to simulate volume magnetic susceptibility based on the known tracer distribution in the soil", "description": "Non-destructive volume magnetic susceptibility measurements (MS) from the surface do not provide information about the depth distribution of a magnetic material or about the amount of magnetic material. We have developed a model that can be used to predict the volume magnetic susceptibility at the surface for a given (known or hypothesized) stratification of the magnetic layers in the soil profile. We show that the relative decrease in MS depends not only on the concentration of the magnetic tracer, but also on the distribution of the magnetic tracer in the soil profile. The decrease in sensitivity was fitted with a double exponential function. The function was implemented in a newly-developed MagHut model. The MagHut model is a tool that can be used for forward modeling of the volume magnetic susceptibility when the tracer distribution in the soil profile is known.", "keywords": ["soil erosion", "tracer", "soils", "magnetic susceptibility"], "contacts": [{"organization": "Zumr, David, Li, Tailin, G\u00f3mez, Jose, Guzm\u00e1n, Gema,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.8079165"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.8079165", "name": "item", "description": "10.5281/zenodo.8079165", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.8079165"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-06-05T00:00:00Z"}}, {"id": "10261/366356", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:21Z", "type": "Journal Article", "created": "2024-07-26", "title": "Tracing macroplastics redistribution and fragmentation by tillage translocation", "description": "Soil is polluted with plastic waste from macro to submicron level. Our understanding of macroplastics (> 5\u00a0mm) occurrence and behavior has remained comparatively elusive, mainly due to a lack of a tracing mechanism. This study set up a methodology to trace macroplastic displacement, which combined magnetic iron oxide-tagged soil and macroplastic pieces tagged by an adhesive passive radiofrequency identification transponder. By utilizing these techniques, a field study was carried out to analyze the effect of tillage implement and plastic sizes on plastic displacement, to understand the fate of macroplastics in arable land. Results indicated that the displacement of macroplastics did not depend upon plastic sizes but did depend upon the tillage implement used. The mean macroplastics displacement per tillage pass was 0.36\u00a0\u00b1\u00a00.25\u00a0m with non-inversion chisel tillage and 0.15\u00a0\u00b1\u00a00.13\u00a0m with inversion disk tillage, which was similar to bulk soil displacement. However, only inversion disk tillage caused fragmentation (41\u00a0%) of macroplastics and generated microplastics (< 5\u00a0mm). In contrast, both tillage implements drove to similar burial of surface macroplastics into the tilled layer (74\u00a0% on average). These results highlight that tillage is a major process for macroplastics fate in arable soils, being one of the first studies to investigate it.", "keywords": ["2. Zero hunger", "13. Climate action", "Tracers", "Radio frequency identification (RFID)", "0401 agriculture", " forestry", " and fisheries", "Comparative study", "Fate and transport", "04 agricultural and veterinary sciences", "15. Life on land", "ddc:910", "01 natural sciences", "Plastic debris", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10261/366356"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Hazardous%20Materials", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/366356", "name": "item", "description": "10261/366356", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/366356"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-09-01T00:00:00Z"}}, {"id": "4b5dd4b1-1bf3-4c54-9381-0d20df8a3024", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[10.81, 47.27], [10.81, 48.44], [11.92, 48.44], [11.92, 47.27], [10.81, 47.27]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "nitrogen"}, {"id": "grasslands"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "15N"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}, {"id": "tracer"}, {"id": "climate change impact"}], "scheme": "GEMET - Concepts, version 2.4"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the SUSALPS's research activities.\" Although every care has been taken in preparing and testing the data, the SUSALPS and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the SUSALPS and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The SUSALPS and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2023-06-02", "type": "Dataset", "created": "2021-02-18", "language": "eng", "title": "15N tracing experiment (0-5 cm)", "description": "Data from 15N labeleld slurry tracing experiment on steel soil cores (17cm diameter, 25cm depth) originating from the Esterberg site, translocated to EB,GW and FE. 15 N tracer was applied on grassland soils in pre-Alpine / Alpine to quantify the recovery of N in plants and roots. The experiment was designed to increase the understanding of nitrogen use efficiency in pre-Alpine / Alpine grassland soils as subject to agricultural management and climate change.\n\nResearch domain: Other\n\nResearch question: 15 N tracer was applied on grassland soils in pre-Alpine / Alpine to quantify the recovery of N in plants and roots. The experiment was design to increase the understanding of nitrogen use efficiency in pre-Alpine / Alpine grassland soils as subject to agricultural management and climate change.", "formats": [{"name": "CSV"}], "keywords": ["nitrogen", "grasslands", "15N", "Boden", "tracer", "climate change impact"], "contacts": [{"name": "Dannenmann, Michael", "organization": "Karlsruhe Institute of Technology (KIT)", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "michael.dannenmann@kit.edu"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Kiese, Ralf", "organization": "Karlsruhe Institute of Technology (KIT)", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "ralf.kiese@kit.edu"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-2814-4888", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": null, "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "Karlsruhe Institute of Technology (KIT)", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=4b5dd4b1-1bf3-4c54-9381-0d20df8a3024", "rel": "download"}, {"href": "https://metadata.bonares.de:443/smartEditor/preview/DSC05173.JPG", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "4b5dd4b1-1bf3-4c54-9381-0d20df8a3024", "name": "item", "description": "4b5dd4b1-1bf3-4c54-9381-0d20df8a3024", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/4b5dd4b1-1bf3-4c54-9381-0d20df8a3024"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-06-02T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=TRACER&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=TRACER&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=TRACER&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=TRACER&offset=14", "hreflang": "en-US"}], "numberMatched": 14, "numberReturned": 14, "distributedFeatures": [], "timeStamp": "2026-05-24T23:10:15.961870Z"}