Crop and land management practices affect both the quality and quantity of soil organic matter (SOM) and hence are driving forces for soil organic carbon (SOC) sequestration. The objective of this study was to assess the long\uffe2\uff80\uff90term effects of tillage, fertilizer application and crop rotation onSOCin an agricultural area of southern Norway, where a soil fertility and crop rotation experiment was initiated in 1953 and a second experiment on tillage practices was initiated in 1983. The first experiment comprised 6\uffe2\uff80\uff90yr crop rotations with cereals only and 2\uffe2\uff80\uff90yr cereal and 4\uffe2\uff80\uff90yr grass rotations with recommended (base) and more than the recommended (above base) fertilizer application rates; the second experiment dealt with autumn\uffe2\uff80\uff90ploughed (conventional\uffe2\uff80\uff90till) plots and direct\uffe2\uff80\uff90drilled plots (no\uffe2\uff80\uff90till). Soil samples at 0\uffe2\uff80\uff9310 and 10\uffe2\uff80\uff9330\uffc2\uffa0cm depths were collected in autumn 2009 and analysed for their C and N contents. The quality ofSOMin the top layer was determined by13C solid\uffe2\uff80\uff90stateNMRspectroscopy. TheSOCstock did not differ significantly because of rotation or fertilizer application types, even after 56\uffc2\uffa0yr. However, the no\uffe2\uff80\uff90till system showed a significantly higherSOCstock than the conventional\uffe2\uff80\uff90till system at the 0\uffe2\uff80\uff9310\uffc2\uffa0cm depth after the 26\uffc2\uffa0yr of experiment, but it was not significantly different at the 10\uffe2\uff80\uff9330\uffc2\uffa0cm depth. In terms of quality,SOMwas found to differ by tillage type, rate of fertilizer application and crop rotation. The no\uffe2\uff80\uff90till system showed an abundance of O\uffe2\uff80\uff90alkyl C, while conventional\uffe2\uff80\uff90till system indicated an apparently indirect enrichment in alkyl C, suggesting a more advanced stage ofSOMdecomposition. The long\uffe2\uff80\uff90term quantitative and qualitative effects onSOMsuggest that adopting a no\uffe2\uff80\uff90tillage system and including grass in crop rotation and farmyard manure in fertilizer application may contribute to preserve soil fertility and mitigate climate change.
", "keywords": ["Fertilizer application", "2. Zero hunger", "Crop rotation", " fertilizer application", " soil organic carbon (SOC)", " soil organic matter (SOM)", " tillage", " NMR spectroscopy.", "NMR spectroscopy", "Crop rotation", "Soil organic matter (SOM)", "13. Climate action", "Soil organic carbon (SOC)", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "Tillage"]}, "links": [{"href": "https://doi.org/10.1111/sum.12198"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Use%20and%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/sum.12198", "name": "item", "description": "10.1111/sum.12198", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/sum.12198"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-07-31T00:00:00Z"}}, {"id": "10.5281/zenodo.14185189", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:24:24Z", "type": "Dataset", "title": "Dataset: experiments on volatile organic compounds uptake by the active layer soils of Greenlandic permafrost areas", "description": "This dataset is associated with a publication currently under peer review (DOI and link to the publication will be updated upon its publication). Permafrost serves as a significant carbon reservoir, storing up to 1700 petagrams of carbon accumulated over millennia. As global warming accelerates permafrost thaw, this carbon can be mobilized, with a fraction being transformed into volatile organic compounds (VOCs). These VOCs can influence atmospheric oxidizing capacity and contribute to the formation of secondary organic aerosols. In this study, active layer soils\u2014the seasonally unfrozen layer above the permafrost\u2014were collected from two contrasting Greenlandic permafrost locations (Disko Island, and Kangerlussuaq) and incubated to investigate their role in soil-atmosphere VOC exchange. Laboratory incubations were conducted under controlled conditions, where a VOC mixture gas was continuously purged through jars containing the soil samples. Gas concentrations were monitored at the inlet and outlet using a PTR-ToF-MS, allowing for the estimation of VOC uptake rates based on the differences in VOC concentrations. The results demonstrated that these soils actively function as VOC sinks, despite variations in their physicochemical properties. Soils from upper active layers showed relatively higher uptake capacities, with soil moisture, organic matter, and microbial carbon content identified as key factors influencing uptake rates. Additionally, uptake coefficients for several major VOC species were calculated, providing valuable data for future model development. Correlation analysis and varying uptake coefficients suggest that the sink is likely biotic, with selective preferences for different VOCs.\u00a0The findings indicate that the development of a deeper active layer under climate change could enhance the soil\u2019s sink capacity and mitigate net VOC emissions from permafrost thaw. Detailed methods and interpretations of the results can be found in the associated publication.", "keywords": ["volatile organic compounds", "Disko Island", "active layer", "sink", "Kangerlussuaq", "permafrost"], "contacts": [{"organization": "Jiao, Yi, Kramsh\u00f8j, Magnus, Davie-Martin, Cleo, Elberling, Bo, Rinnan, Riikka,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14185189"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14185189", "name": "item", "description": "10.5281/zenodo.14185189", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14185189"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-19T00:00:00Z"}}, {"id": "10.5281/zenodo.15772619", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:00Z", "type": "Dataset", "title": "Dataset to: Foundation for an Austrian NIR Soil Spectral Library for Soil Health Assessments", "description": "Dataset description This is the corresponding dataset to the publication 'Foundation for an Austrian NIR Soil Spectral Library for Soil Health Assessments' by Fohrafellner et al. (2025). In this publication, we created the first Near-Infrared (NIR) Austrian Soil Spectral Library (ASSL, 680 \u2013 2500 nm) using 2,129 legacy samples from all environmental zones of Austria. Additionally, we utilized partial least squares regression modeling to evaluate the dataset's current effectiveness for soil health assessments. The dataset contains three tabs, 'Document meta data', 'Legend' and 'Dataset'. Tab 'Document meta data' gives information on the authors, the data collection time frame, terms of use, etc. In 'Legend', each column of the 'Dataset' is described. The 'Dataset' contains information on the legacy soil samples including:\u00a0 meta data (e.g. sample number, sampling year, zip code, environmental zone, land use), soil properties (soil organic carbon [SOC], SOC to clay ratio, total carbon, labile carbon, CaCO3, total nitrogen, plant available phosphorus, pH measured in CaCl2 and acetate, cation exchange capacity, texture [sand, silt, clay content], and clay content measured by density in suspension), and measured NIR soil spectra, also for the standards. Project description This Austrian Soil Spectral Library was built within the ProbeField project (November 2021 \u2013 January 2025), which was part of the European Joint Program for SOIL \u2018Towards climate-smart sustainable management of agricultural soils\u2019 (EJP SOIL) funded by the European Union Horizon 2020 research and innovation programme (Grant Agreement N\u00b0 862695). The project aimed to create a protocol detailing procedures and methodologies for accurately estimating fertility-related properties in agricultural soils in the field. Additionally, the potential for extending this data to two- and three-dimensional mapping using co-variates was demonstrated. ProbeField further collected field spectra that closely match laboratory spectra, enabling the prediction of soil properties using models calibrated with soil spectral libraries. References Fohrafellner, J., Lippl, M., Bajraktarevic, A., Baumgarten, A., Spiegel, H., K\u00f6rner, R. and Sand\u00e9n, T.: Foundation for an Austrian NIR Soil Spectral Library for Soil Health Assessments, 2025, in review.", "keywords": ["EJP SOIL", "ProbeField", "Spectroscopy", " Near-Infrared", "data"], "contacts": [{"organization": "Fohrafellner, Julia", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15772619"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15772619", "name": "item", "description": "10.5281/zenodo.15772619", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15772619"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-07-07T00:00:00Z"}}, {"id": "10.5281/zenodo.16261617", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:03Z", "type": "Dataset", "title": "Dataset to: Austrian NIR Soil Spectral Library for Soil Health Assessments", "description": "Dataset description This is the corresponding dataset to the publication 'Austrian NIR Soil Spectral Library for Soil Health Assessments' by Fohrafellner et al. (2025). In this publication, we created the first Austrian Near-Infrared (NIR) Soil Spectral Library (680 \u2013 2500 nm) using 2,129 legacy samples from all environmental zones of Austria. Additionally, we utilized partial least squares regression modeling to evaluate the dataset's current effectiveness for soil health assessments. The dataset contains three tabs, 'Document meta data', 'Legend' and 'Dataset'. Tab 'Document meta data' gives information on the authors, the data collection time frame, terms of use, etc. In 'Legend', each column of the 'Dataset' is described. The 'Dataset' contains information on the legacy soil samples including:\u00a0 meta data (e.g. sample number, sampling year, zip code, environmental zone, land use), soil properties (soil organic carbon [SOC], SOC to clay ratio, total carbon, labile carbon, CaCO3, total nitrogen, plant available phosphorus, pH measured in CaCl2 and acetate, cation exchange capacity, texture [sand, silt, clay content], and clay content measured by density in suspension), and measured NIR soil spectra, also for the standards. Project description This Austrian NIR Soil Spectral Library was built within the ProbeField project (November 2021 \u2013 January 2025), which was part of the European Joint Program for SOIL 'Towards climate-smart sustainable management of agricultural soils' (EJP SOIL) funded by the European Union Horizon 2020 research and innovation programme (Grant Agreement N\u00b0 862695). The project aimed to create a protocol detailing procedures and methodologies for accurately estimating fertility-related properties in agricultural soils in the field. Additionally, the potential for extending this data to two- and three-dimensional mapping using co-variates was demonstrated. ProbeField further collected field spectra that closely match laboratory spectra, enabling the prediction of soil properties using models calibrated with soil spectral libraries. References Fohrafellner, J., Lippl, M., Bajraktarevic, A., Baumgarten, A., Spiegel, H., K\u00f6rner, R. and Sand\u00e9n, T.: Austrian NIR Soil Spectral Library for Soil Health Assessments, 2025, in review.", "keywords": ["EJP SOIL", "ProbeField", "spectroscopy", "data", "near-infrared"], "contacts": [{"organization": "Fohrafellner, Julia, Lippl, Maximilian, Bajraktarevic, Armin, Baumgarten, Andreas, Spiegel, Heide, K\u00f6rner, Robert, Sand\u00e9n, Taru,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.16261617"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.16261617", "name": "item", "description": "10.5281/zenodo.16261617", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.16261617"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-07-21T00:00:00Z"}}, {"id": "10.5281/zenodo.17475742", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:08Z", "type": "Dataset", "title": "In-situ and UAV dataset with crop and soil parameters obtained from winter wheat fields", "description": "unspecifiedThe study area was located in the Danubian Plain, Bulgaria, near the town of Knezha (43.495\u00b0N, 24.081\u00b0E). Five field campaigns (November, March, April, May, and June) were conducted during the 2016-2017 agricultural season and two (November and April) during the 2017-2018 agricultural season. Each campaign took four-five days to complete. A hierarchical sampling strategy, consisting of three levels, was adopted: Unit (a single commercial agricultural field), Elementary Sampling Unit (ESU; a 20 \u00d7 20 m plot), and Elementary Sub-Sampling Unit (ESSU; a particular location in the ESU where measurement is taken). Six Units were selected for sampling during each agricultural season. Different number of ESUs were sampled in each Unit depending of its size and diversity of soils. The location of the ESUs was kept unchanged during the season except in case relocation was needed due to waterlogging. The geographic coordinates were measured each time an ESU was visited, irrespective of whether it was relocated or not and a unique ID assigned to the ESU. Thus, data from each visit are presented as a separate independent record (row) in the dataset. In each ESU there were 3 ESSUs, one at the center and two at opposite corners of the ESU. The biological yield was measured only in the central ESSU. The dataset contains only data averaged at ESU level. Two unique identifiers, Unit_ID and ESU_ID, were used across the dataset's tables, helping identify data records and connect tables. The Unit_ID consists of the season and the Unit number, for instance \u201cS16-17_U1\u201d, where \u201cS16-17\u201d is the agricultural season 2016-2017, and \u201cU1\u201d is Unit 1. The ESU_ID consists of the month and year of the field campaign, the Unit number, and the ESU number, for instance \u201capr2017_1_2\u201d, where \u201capr2017\u201d is the April 2017 field campaign, \u201c1\u201d is the Unit number, and \u201c2\u201d is the ESU number. The LAI, fIPAR, FAPAR, and fCover were measured using AccuPAR LP-80 ceptometer. The CC was measured using CCM-300. The AGB and plant nitrogen samples were collected from a 1 m x 1 m plot at the central ESSU and 50 cm x 50 cm plots in the other two ESSUs. The nitrogen (N) content of the above-ground organs was determined by the Kjeldahl method and expressed as per-cent of the dry weight. N uptake (g m-2) was determined as the product of N content and the dry AGB. Soil moisture content (W) was measured gravimetrically at the surface (0-5 cm) and, in some ESUs, at three additional depths (0-30 cm, 30-60 cm, and 60-100 cm) in 10 cm increments. The data were expressed in percent by mass. Reflectance data was collected using ASD FieldSpec 4 HiRes Field Spectrometer (ASD HH FS4 HiRes). Crop phenology was reported after Zadoks et al. (1974). The damages and weeds status were assessed using five-point rating scales. The data from the four soil profiles included morphological description of soil horizons, texture (the particle-size distribution was determined by sieving and the pipette method in accordance with ISO 11277-2020), concentration of organic carbon, pH, bulk density, water retention at suctions from 0.25 kPa (pF 0.4) to 33 kPa (pF 2.7), total porosity. Soil water retention curves (pF curves) were obtained during the drainage of the samples by using the suction plate method, pressure membrane apparatus, and desiccators methods, as described in (Rousseva et al., 2017). The field capacity (FC) was estimated by the water content retained at a suction of 10 kPa (pF = 2.0). The wilting point was estimated at a suction 1500 kPa (pF = 4.2). The water retention experimental data at different suctions were approximated with the van Genuchten equation (Van Genuchten, 1980). The crop calendar and management data included information for the studied winter wheat fields, including soil type, predecessor, pre-sowing preparation, variety, sowing date and norm, dates and type of fertilization, plant protection measures, dates of the main development stages of winter wheat, harvesting date and yield. \u00a0\u00a0 Multispectral image mosaics of the studied fields were generated using the fixed-wing drone eBee Ag furnished with Sequoia camera. The camera has Multi-channel sensor with green (550 nm), red (660 nm), red edge (735 nm), and NIR (790 nm) bands. Meteorological data were collected by an automatic telemetric agro-meteorological station ADCON addVantage Pro6.5 installed in the vicinity of the town of Knezha. The station operated between 30.11.2016 and 22.03.2017 on its initial location (Location 1: 43.521917\u00b0N, 24.098848\u00b0E) and was later moved to another location, 1.3 km southwards (Location 2: 43.511391\u00b0N, 24.092252\u00b0E), where it collected data between 26.04.2017 and 3.12.2018. The station was equipped with sensors for air temperature, relative humidity, solar radiation, wind speed, wind direction, rain, PAR, soil moisture and temperature (12 depths between 5 cm and 115 cm at 10 cm intervals). Data from all sensors were recorded at 30 min intervals. References: Zadoks, J.C., T.T. Chang, C.F. Konzak. 1974. A decimal code of the growth stages of cereals. Weed Research, 14, 415-421. Rousseva, S., Kercheva, M., Shishkov, T., Lair, G.J., Nikolaidis, N.P., Moraetis, D., Kr\u00e1m, P., Bernasconi, S.M., Blum, W.E.H., Menon, M., et al. 2017. Soil Water Characteristics of European SoilTrEC Critical Zone Observatories. In Advances in Agronomy; Academic Press: Cambridge, MA, USA, Volume 142, pp. 29\u201372. van Genuchten, M. T., 1980. A closed-form equation for predicting the hydraulic conductivity of unsaturated soils. Soil Sci. Soc. Am. J. 44, 892\u2013898.", "keywords": ["Winter wheat", "Chlorophyll", "Phenology", "UAV", "Yield (agricultural)", "Soil profile", "Biomass", "Remote sensing", "Spectroscopy", "LAI"], "contacts": [{"organization": "Dimitrov, Petar, Roumenina, Eugenia, Jelev, Georgi, Filchev, Lachezar, Gikov, Alexander, Kamenova, Ilina, Ilieva, Iliana, Ganeva, Dessislava, Kercheva, Milena, Banov, Martin, Krasteva, Veneta, Kolchakov, Viktor, Dimitrov, Emil, Miteva, Nevena,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.17475742"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.17475742", "name": "item", "description": "10.5281/zenodo.17475742", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.17475742"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-10-31T00:00:00Z"}}, {"id": "10.5281/zenodo.17941270", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:11Z", "type": "Dataset", "title": "Dataset to: Austrian NIR Soil Spectral Library for Soil Health Assessments", "description": "Dataset description This is the corresponding dataset to the publication 'Austrian NIR Soil Spectral Library for Soil Health Assessments' by Fohrafellner et al. (2025). In this publication, we created the first Austrian Near-Infrared (NIR) Soil Spectral Library (680 \u2013 2500 nm) using 2,129 legacy samples from all environmental zones of Austria. Additionally, we utilized partial least squares regression modeling to evaluate the dataset's current effectiveness for soil health assessments. The dataset contains three tabs, 'Document meta data', 'Legend' and 'Dataset'. Tab 'Document meta data' gives information on the authors, the data collection time frame, terms of use, etc. In 'Legend', each column of the 'Dataset' is described. The 'Dataset' contains information on the legacy soil samples including:\u00a0 meta data (e.g. sample number, sampling year, zip code, environmental zone, land use), soil properties (soil organic carbon [SOC], SOC to clay ratio, total carbon, labile carbon, CaCO3, total nitrogen, plant available phosphorus, pH measured in CaCl2 and acetate, cation exchange capacity, texture [sand, silt, clay content], and clay content measured by density in suspension), and measured NIR soil spectra, also for the standards. Project description This Austrian NIR Soil Spectral Library was built within the ProbeField project (November 2021 \u2013 January 2025), which was part of the European Joint Program for SOIL 'Towards climate-smart sustainable management of agricultural soils' (EJP SOIL) funded by the European Union Horizon 2020 research and innovation programme (Grant Agreement N\u00b0 862695). The project aimed to create a protocol detailing procedures and methodologies for accurately estimating fertility-related properties in agricultural soils in the field. Additionally, the potential for extending this data to two- and three-dimensional mapping using co-variates was demonstrated. ProbeField further collected field spectra that closely match laboratory spectra, enabling the prediction of soil properties using models calibrated with soil spectral libraries. References Fohrafellner, J., Lippl, M., Bajraktarevic, A., Baumgarten, A., Spiegel, H., K\u00f6rner, R. and Sand\u00e9n, T.: Austrian NIR Soil Spectral Library for Soil Health Assessments, 2025, in review.", "keywords": ["EJP SOIL", "ProbeField", "spectroscopy", "data", "near-infrared"], "contacts": [{"organization": "Fohrafellner, Julia, Lippl, Maximilian, Bajraktarevic, Armin, Baumgarten, Andreas, Spiegel, Heide, K\u00f6rner, Robert, Sand\u00e9n, Taru,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.17941270"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.17941270", "name": "item", "description": "10.5281/zenodo.17941270", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.17941270"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-07-21T00:00:00Z"}}, {"id": "10.5281/zenodo.5574882", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:22Z", "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>Studies on soil organic carbon (SOC) stocks mostly focus on topsoils (< 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.</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": "1854/LU-8743335", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:27:27Z", "type": "Report", "title": "Global maps of soil temperature", "description": "Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km(2) resolution for 0-5 and 5-15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km(2) pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10 degrees C (mean = 3.0 +/- 2.1 degrees C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 +/- 2.3 degrees C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (-0.7 +/- 2.3 degrees C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.", "keywords": ["Technology and Engineering", "soil temperature", "Biology and Life Sciences", "soil-dwelling organisms", "SNOW-COVER", "MITIGATION", "MOISTURE", "FOREST", "weather stations", "LITTER DECOMPOSITION", "PERMAFROST", "near-surface temperatures", "PLANT-RESPONSES", "bioclimatic variables", "CLIMATIC CONTROLS", "Earth and Environmental Sciences", "temperature offset", "SUITABILITY", "global maps", "MICROCLIMATE", "CBCE", "microclimate"]}, "links": [{"href": "https://doi.org/1854/LU-8743335"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-8743335", "name": "item", "description": "1854/LU-8743335", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-8743335"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "10.1007/s10021-013-9650-7", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:14:42Z", "type": "Journal Article", "created": "2013-02-21", "title": "Stimulation Of Different Functional Groups Of Bacteria By Various Plant Residues As A Driver Of Soil Priming Effect", "description": "The turnover of organic matter in soil depends on the activity of microbial decomposers. However, little is known about how modifications of the diversity of soil microbial communities induced by fresh organic matter (FOM) inputs can regulate carbon cycling. Here, we investigated the decomposition of two 13C labeled crop residues (wheat and alfalfa) and the dynamics of the genetic structure and taxonomic composition of the soil bacterial communities decomposing 13C labeled FOM and native unlabeled soil organic matter (SOM), respectively. It was achieved by combining the stable isotope probing method with molecular tools (DNA genotyping and pyrosequencing of 16S rDNA). Although a priming effect (PE) was always induced by residue addition, its intensity increased with the degradability of the plant residue. The input of both wheat and alfalfa residues induced a rapid dynamics of FOM-degrading communities, corresponding to the stimulation of bacterial phyla which have been previously described as copiotrophic organisms. However, the dynamics and the identity of the bacterial groups stimulated depended on the residue added, with Firmicutes dominating in the wheat treatment and Proteobacteria dominating in the alfalfa treatment after 3\u00a0days of incubation. In both treatments, SOM-degrading communities were dominated by Acidobacteria, Verrucomicrobia, and Gemmatimonadetes phyla which have been previously described as oligotrophic organisms. An early stimulation of SOM-degrading populations mainly belonging to Firmicutes and Bacteroidetes groups was observed in the alfalfa treatment whereas no change occurred in the wheat treatment. Our findings support the hypothesis that the succession of bacterial taxonomic groups occurring in SOM- and FOM-degrading communities during the degradation process may be an important driver of the PE, and consequently of carbon dynamics in soil.", "keywords": ["0301 basic medicine", "2. Zero hunger", "570", "0303 health sciences", "[SDE.MCG]Environmental Sciences/Global Changes", "bacterial diversity", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "15. Life on land", "[SDV.MP.BAC]Life Sciences [q-bio]/Microbiology and Parasitology/Bacteriology", "630", "soil", "[SDE.MCG] Environmental Sciences/Global Changes", "03 medical and health sciences", "pyrosequencing", "[SDU.STU.GC]Sciences of the Universe [physics]/Earth Sciences/Geochemistry", "soil organic matter", "carbon cycle", "[SDU.STU.GC] Sciences of the Universe [physics]/Earth Sciences/Geochemistry", "[SDV.MP.BAC] Life Sciences [q-bio]/Microbiology and Parasitology/Bacteriology", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "stable isotope probing"]}, "links": [{"href": "https://doi.org/10.1007/s10021-013-9650-7"}, {"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/s10021-013-9650-7", "name": "item", "description": "10.1007/s10021-013-9650-7", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10021-013-9650-7"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-02-22T00:00:00Z"}}, {"id": "10.1016/j.apsoil.2017.05.029", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:16:09Z", "type": "Journal Article", "created": "2017-06-30", "title": "A large set of microsatellites for the highly invasive earthworm Amynthas corticis predicted from low coverage genomes", "description": "Invasive species can significantly affect local biodiversity and create important challenges for conservation. They usually present an outstanding plasticity that permits the adaptation to the new environments. Understanding their genetic background is fundamental to better comprehend invasion dynamics and elaborate proper management plans as well to infer population and evolutionary patterns. Here, we present a reasonable set of tools for the study of a highly invasive earthworm, the megascolecid Amynthas corticis. We designed in silico a large set of primers targeting microsatellite regions (ca. 9400) from two low coverage genomes presented here. This study provides 154 high quality primer pairs targeting polymorphic repeats conserved in two Amynthas corticis mitochondrial lineages. From this dataset, a set of primer pairs (15) was validated by polymerase chain reaction with 86% consistent amplification, confirming the accuracy of the in silico prediction. Nine of the primer pairs tested were selected for population genetics and presented polymorphism in the studied populations, thus showing promising potential for future studies of this global invasive species. The nuclear markers used in this study appear to recapitulate and complement the mitochondrial relationships found in a previous study. Interestingly, all genotyped individuals showed at least one triploid locus profile among the tested loci, which may be evidence of polyploidy associated to their life history, in particular to asexual reproduction by parthenogenesis.", "keywords": ["Ecolog\u00eda (Biolog\u00eda)", "Microsatellite markers", "Invasive species", "Invertebrados", "15. Life on land", "636.082.11", "Gen\u00e9tica", "2401.08 Gen\u00e9tica Animal", "3. Good health", "2401.91 Invertebrados no Insectos", "Bioinformatics prediction", "2401.06 Ecolog\u00eda Animal", "595.1", "Earthworms", "Mitochondrial lineages", "574.3"]}, "links": [{"href": "https://orca.cardiff.ac.uk/id/eprint/101404/1/Applied%20soil.pdf"}, {"href": "https://doi.org/10.1016/j.apsoil.2017.05.029"}, {"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.2017.05.029", "name": "item", "description": "10.1016/j.apsoil.2017.05.029", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.apsoil.2017.05.029"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-10-01T00:00:00Z"}}, {"id": "10.1016/j.geoderma.2019.114009", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:17:04Z", "type": "Journal Article", "created": "2019-11-12", "title": "Predicting glyphosate sorption across New Zealand pastoral soils using basic soil properties or Vis\u2013NIR spectroscopy", "description": "Glyphosate [N-(phosphonomethyl) glycine] is the active ingredient in Roundup, which is the most used herbicide around the world. It is a non-selective herbicide with carboxyl, amino, and phosphonate functional groups, and it has a strong affinity to the soil mineral fraction. Sorption plays a major role for the fate and transport of glyphosate in the environment. The sorption coefficient (Kd) of glyphosate, and hence its mobility, varies greatly among different soil types. Determining Kd is laborious and requires the use of wet chemistry. In this study, we aimed to estimate Kd using basic soil properties, and visible near-infrared spectroscopy (vis\u2013NIRS). The latter method is fast, requires no chemicals, and several soil properties can be estimated from the same spectrum. The data set included 68 topsoil samples collected across the South Island of New Zealand, with clay and organic carbon (OC) contents ranging from 0.001 to 0.520 kg kg\u22121 and 0.021 to 0.217 kg kg\u22121, respectively. The Kd was determined with batch equilibration sorption experiments and ranged from 13 to 3810 L kg\u22121. The visible near-infrared spectra were obtained from 400 to 2500 nm. Multiple linear regression was used to correlate Kd to oxalate extractable aluminium and phosphorous and pH, which resulted in an R2 of 0.89 and an RMSE of 259.59 L kg\u22121. Further, interval partial least squares regression with ten-fold cross-validation was used to predict Kd by vis\u2013NIRS, and an R2 of 0.93 and an RMSECV of 207.58 L kg\u22121 were obtained. Thus, these results show that both basic soil properties and vis\u2013NIRS can predict the variation in Kd across these samples with high accuracy and hence, that glyphosate sorption to a soil can be determined with vis\u2013NIRS.
", "keywords": ["2. Zero hunger", "ADSORPTION", "NEAR-INFRARED SPECTROSCOPY", "04 agricultural and veterinary sciences", "DEGRADATION", "15. Life on land", "WATER REPELLENCY", "FIELD-SCALE", "REFLECTANCE SPECTROSCOPY", "MOBILITY", "FACILITATED TRANSPORT", "CONTAMINANTS", "0401 agriculture", " forestry", " and fisheries", "COEFFICIENT"]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2019.114009"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geoderma.2019.114009", "name": "item", "description": "10.1016/j.geoderma.2019.114009", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2019.114009"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-02-01T00:00:00Z"}}, {"id": "10.1016/j.jplph.2012.02.014", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:17:18Z", "type": "Journal Article", "created": "2012-04-24", "title": "Drought Stress Has Contrasting Effects On Antioxidant Enzymes Activity And Phenylpropanoid Biosynthesis In Fraxinus Ornus Leaves: An Excess Light Stress Affair?", "description": "The experiment was conducted using Fraxinus ornus plants grown outside under full sunlight irradiance, and supplied with 100% (well-watered, WW), 40% (mild drought, MD), or 20% (severe drought, SD) of the daily evapotranspiration demand, with the main objective of exploring the effect of excess light stress on the activity of antioxidant enzymes and phenylpropanoid biosynthesis. Net CO\u2082 assimilation rate at saturating light and daily assimilated CO\u2082 were significantly smaller in SD than in WW and MD plants. Xanthophyll-cycle pigments supported nonphotochemical quenching to a significantly greater extent in SD than in MD and WW leaves. As a consequence, the actual efficiency of PSII (\u03a6(PSII)) was smaller, while the excess excitation-energy in the photosynthetic apparatus was greater in SD than in WW or MD plants. The concentrations of violaxanthin-cycle pigments relative to total chlorophyll (Chl(tot)) exceeded 200 mmol mol\u207b\u00b9 Chl(tot) in SD leaves at the end of the experiment. This leads to hypothesize for zeaxanthin a role not only as nonphotochemical quencher, but also as chloroplast antioxidant. Reductions in ascorbate peroxidase and catalase activities, as drought-stress progressed, were paralleled by greater accumulations of esculetin and quercetin 3-O-glycosides, both phenylpropanoids having effective capacity to scavenge H\u2082O\u2082. The drought-induced accumulation of esculetin and quercetin 3-O-glycosides in the vacuoles of mesophyll cells is consistent with their putative functions as reducing agents for H\u2082O\u2082 in excess light-stressed leaves. Nonetheless, the concentration of H\u2082O\u2082 and the lipid peroxidation were significantly greater in SD than in MD and WW leaves. It is speculated that vacuolar phenylpropanoids may constitute a secondary antioxidant system, even on a temporal basis, activated upon the depletion of primary antioxidant defences, and aimed at keeping whole-cell H\u2082O\u2082 within a sub-lethal concentration range.", "keywords": ["0301 basic medicine", "Analysis of Variance", "Principal Component Analysis", "0303 health sciences", "Time Factors", "Light", "Propanols", "Antioxidant enzymes Drought stress Phenylpropanoids Water relations Violaxanthin-cycle pigments", "Hydrogen Peroxide", "Pigments", " Biological", "Carbon Dioxide", "15. Life on land", "Antioxidants", "6. Clean water", "Antioxidant enzymes; Drought stress; Phenylpropanoids; Violaxanthin-cycle pigments; Water relations; Analysis of Variance; Antioxidants; Carbon Dioxide; Fraxinus; Hydrogen Peroxide; Malondialdehyde; Mesophyll Cells; Microscopy", " Fluorescence; Photosynthesis; Pigments", " Biological; Plant Leaves; Principal Component Analysis; Propanols; Stress", " Physiological; Time Factors; Droughts; Light; Plant Science; Physiology; Agronomy and Crop Science", "Droughts", "Plant Leaves", "03 medical and health sciences", "Fraxinus", "Microscopy", " Fluorescence", "Stress", " Physiological", "Antioxidant enzymes; drought stress; flavonoids", "Malondialdehyde", "Photosynthesis", "Mesophyll Cells"]}, "links": [{"href": "https://doi.org/10.1016/j.jplph.2012.02.014"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Plant%20Physiology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jplph.2012.02.014", "name": "item", "description": "10.1016/j.jplph.2012.02.014", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jplph.2012.02.014"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-07-01T00:00:00Z"}}, {"id": "10.1016/j.geoderma.2022.115915", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:17:04Z", "type": "Journal Article", "created": "2022-05-02", "title": "Mineral element recycling in topsoil following permafrost degradation and a vegetation shift in sub-Arctic tundra", "description": "Climate change affects the Arctic and sub-Arctic regions by exposing previously frozen permafrost to thaw, unlocking soil nutrients, changing hydrological processes, and boosting plant growth. As a result, sub-Arctic tundra is subject to a shrub expansion, called \u201cshrubification\u201d, at the expense of sedge species. Depending on the intrinsic foliar properties of these plant species, changes in foliar mineral element fluxes with shrubification in the context of permafrost degradation may influence topsoil mineral element composition. Despite the potential implications of changes in topsoil mineral element concentrations for the fate of organic carbon, this remains poorly quantified. Here, we investigate vegetation foliar and topsoil mineral element composition (Si, K, Ca, P, Mn, Zn, Cu, Mo, V) across a natural gradient of permafrost degradation at a typical sub-Arctic tundra at Eight Mile Lake (Alaska, USA). Results show that foliar mineral element concentrations are higher (up to 9 times; Si, K, Mo for all species, and for some species Zn) or lower (up to 2 times; Ca, P, Mn, Cu, V for all species, and for some species Zn) in sedge than in shrub species. As a result, a vegetation shift over ~40 years has resulted in lower topsoil concentrations in Si, K, Zn, and Mo (respectively of 52, 24, 20, and 51%) in highly degraded permafrost sites compared to poorly degraded permafrost sites due to lower foliar fluxes of these elements. For other elements (Ca, P, Mn, Cu, and V), the vegetation shift has not induced a marked change in topsoil concentrations at this current stage of permafrost degradation. A modeled amplified shrubification associated with a further permafrost degradation is expected to increase foliar Ca, P, Mn, Cu, and V fluxes, which will likely change these element concentrations in topsoil. These data can serve as a first estimate to assess the influence of other shifts in vegetation in Arctic and sub-Arctic tundra such as sedge expansion under wetter soil conditions.", "keywords": ["topsoil", "[SDV.SA.STA] Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture", "mineral elements", "04 agricultural and veterinary sciences", "sub-Arctic tundra", "15. Life on land", "01 natural sciences", "vegetation change", "13. Climate action", "[SDV.SA.STA]Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture", "0401 agriculture", " forestry", " and fisheries", "shrubification", "permafrost degradation", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2022.115915"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geoderma.2022.115915", "name": "item", "description": "10.1016/j.geoderma.2022.115915", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2022.115915"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-09-01T00:00:00Z"}}, {"id": "10.1029/2020wr028624", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:18:30Z", "type": "Journal Article", "created": "2021-06-21", "title": "Hydraulic and Physical Properties of Managed and Intact Peatlands: Application of the Van Genuchten\u2010Mualem Models to Peat Soils", "description": "AbstractUndisturbed peatlands are effective carbon sinks and provide a variety of ecosystem services. However, anthropogenic disturbances, especially land drainage, strongly alter peat soil properties and jeopardize the benefits of peatlands. The effects of disturbances should therefore be assessed and predicted. To support accurate modeling, this study determined the physical and hydraulic properties of intact and disturbed peat samples collected from 59 sites (in total 3,073 samples) in Finland and Norway. The bulk density (BD), porosity, and specific yield (Sy) values obtained indicated that the top layer (0\uffe2\uff80\uff9330\uffc2\uffa0cm depth) at agricultural and peat extraction sites was most affected by land use change. The BD in the top layer at agricultural, peat extraction, and forestry sites was 441%, 140%, and 92% higher, respectively, than that of intact peatlands. Porosity decreased with increased BD, but not linearly. Agricultural and peat extraction sites had the lowest saturated hydraulic conductivity, Sy, and porosity, and the highest BD of the land use options studied. The van Genuchten\uffe2\uff80\uff90Mualem (vGM) soil water retention curve (SWRC) and hydraulic conductivity (K) models proved to be applicable for the peat soils tested, providing values of SWRC, K, and vGM\uffe2\uff80\uff90parameters (\uffce\uffb1 and n) for peat layers (top, middle and bottom) under different land uses. A decrease in peat soil water content of \uffe2\uff89\uffa510% reduced the unsaturated K values by two orders of magnitude. This unique data set can be used to improve hydrological modeling in peat\uffe2\uff80\uff90dominated catchments and for fuller integration of peat soils into large\uffe2\uff80\uff90scale hydrological models.Monthly rainfall erosivity maps (R-factor maps) of Switzerland with a spatial resolution of 100 m. The maps show the spatial and seasonal variability of rainfall erosivity in MJ mm ha\u207b\u00b9 h\u207b\u00b9 month\u207b\u00b9. Light shades of blue indicate a low erosive impact of rainfall and dark shades a high impact.
The monthly R-factors are based on precipitation measurements from 87 automatic gauging stations with measurement intervals of 10 minutes (average measuring period of 19.5 years per station). The stations cover all agricultural zones in Switzerland. To exclude the influence of snow, temperatures are also recorded at an hourly resolution for 71 stations or are derived from the nearest station.
A comparison of the 12 monthly R-factor maps shows that the summer months (June, July and August) have the highest rainfall erosivity values during the year. The Southern Alps (canton of Ticino), the mountain zones of the Northern Alps and parts of the valley zone have particularly high R-factors in this period. A proportion of 62% of Switzerland's annual rainfall erosivity is recorded between June and September. Identifying regions and periods in which rainfall with an increased erosive impact occurs enables targeted erosion control and a better understanding of the dynamics of erosion processes over the course of a year.
The development of monthly rainfall erosivity maps of Switzerland is described in detail in 'Regionalization of monthly rainfall erosivity patterns in Switzerland' by Schmidt et al. (Hydrology and Earth System Sciences: 20. 2016. pp. 4359\u20134373).", "formats": [{"name": "HTML"}], "keywords": ["amenagement-antierosif", "aufbewahrungs-und-archivierungsplanung-aap-bund", "aumento-delle-precipitazioni", "bgdi-bundesgeodaten-infrastruktur", "boden", "bodenerosion", "ch", "conservation-and-archiving-planning-aap-confederation", "controllo-dellerosione", "e-geoch", "erosion", "erosion-control", "erosion-du-sol", "erosione", "erosione-del-suolo", "erosionsschutz", "fsdi-federal-spatial-data-infrastructure", "ifdg-infrastruttura-federale-dei-dati-geografici", "ifdg-linfrastructure-federale-de-donnees-geographiques", "intensification-des-precipitations", "niederschlagserhohung", "pianificazione-della-conservazione-e-dellarchiviazione-aap-confederazione", "planification-de-la-conservation-et-de-larchivage-aap-confederation", "precipitation-enhancement", "soil", "soil-erosion", "sol", "suolo"], "contacts": [{"organization": "boden@bafu.admin.ch", "roles": ["creator"]}, {"organization": "https://opendata.swiss/organization/bundesamt-fur-umwelt-bafu", "roles": ["publisher"]}]}, "links": [{"href": "https://data.geo.admin.ch/browser/index.html#/collections/ch.bafu.niederschlagserosivitaet/items/niederschlagserosivitaet-feb"}, {"href": "https://map.geo.admin.ch/?layers=ch.bafu.niederschlagserosivitaet-feb"}, {"href": "https://wms.geo.admin.ch/?SERVICE=WMS&VERSION=1.3.0&REQUEST=GetCapabilities&lang=de"}, {"href": "https://wmts.geo.admin.ch/EPSG/3857/1.0.0/WMTSCapabilities.xml?lang=de"}, {"href": "https://www.researchgate.net/publication/309429881_Regionalization_of_monthly_rainfall_erosivity_patterns_in_Switzerland"}, {"href": "http://data.europa.eu/88u/dataset/053bcacc-0ae4-4e03-9a79-9e0ecb56cd77-bundesamt-fur-umwelt-bafu"}, {"rel": "self", "type": "application/geo+json", "title": "053bcacc-0ae4-4e03-9a79-9e0ecb56cd77-bundesamt-fur-umwelt-bafu", "name": "item", "description": "053bcacc-0ae4-4e03-9a79-9e0ecb56cd77-bundesamt-fur-umwelt-bafu", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/053bcacc-0ae4-4e03-9a79-9e0ecb56cd77-bundesamt-fur-umwelt-bafu"}, {"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": "876F61A9-36C0-4CDD-9FC1-C243685BC1E8", "type": "Feature", "geometry": null, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "National"}], "scheme": "https://inspire.ec.europa.eu/metadata-codelist/SpatialScope"}, {"concepts": [{"id": "MensMeu"}], "scheme": "Source"}, {"concepts": [{"id": "Germany"}], "scheme": "http://publications.europa.eu/resource/authority/country"}, {"concepts": [{"id": "soil erosion"}], "scheme": "http://aims.fao.org/aos/agrovoc/c_330883"}], "updated": "30-6-2015", "type": "Dataset", "created": "30-6-2015", "language": "ger", "title": "Potential risk of erosion of arable soils by water in Germany 1:1.000.000", "description": "The Potential Soil Erosion Risk map gives an overview of the exposure of arable soils to soil loss due to surface runoff and splash erosion in Germany. 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Bodenerosion durch Wasser zerst\u00f6rt langfristig den Boden und damit die nat\u00fcrliche Lebensgrundlage f\u00fcr k\u00fcnftige Generationen. Die Karte wurde mit Hilfe des Langfristmodells ABAG (Allgemeinen Bodenabtragsgleichung) erstellt. Sie ist die Anpassung des Modells Universal Soil Equation (USLE) an deutsche Verh\u00e4ltnisse. Die Methode ist in der DIN 19708:2005-02 und in der Methodendokumentation der Ad-hoc-AG Boden ver\u00f6ffentlicht. F\u00fcr die Anwendung auf Bodenkarten wurde das Verfahren von der Bundesanstalt f\u00fcr Geowissenschaften und Rohstoffe (BGR) ver\u00e4ndert. In die Karte flie\u00dfen bodenkundliche Kennwerte (K-Faktor) aus der nutzungsdifferenzierten Boden\u00fcbersichtskarte von Deutschland 1:1.000.000 (B\u00dcK1000N), morphologische Kennwerte (S-Faktor) aus dem DGM50 des Bundesamtes f\u00fcr Kartographie und Geod\u00e4sie (BKG) und klimatischen Kennwerte (R-Faktor) aus den Niederschlagsdaten des Deutschen Wetterdienstes (DWD) f\u00fcr den Zeitraum 1961\u20131990 ein. Die Ackerstandorte werden aus dem Landnutzungsdatensatz CORINE Land Cover von 2006 gewonnen.", "protocol": "ogc:wms", "rel": null}, {"href": "https://download.bgr.de/bgr/Boden/PEGWASSER1000/tiff300/pegwasser1000_250_v10.zip", "name": "TIFF", "protocol": "application/tiff", "rel": null}, {"href": "https://github.com/ejpsoil/ejpsoildatahub/tree/main/datasets/mensmeu/Germany/876F61A9-36C0-4CDD-9FC1-C243685B.yml", "name": "Source of the record", "protocol": "canonical", "rel": "canonical"}, {"rel": "self", "type": "application/geo+json", "title": "876F61A9-36C0-4CDD-9FC1-C243685BC1E8", "name": "item", "description": "876F61A9-36C0-4CDD-9FC1-C243685BC1E8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/876F61A9-36C0-4CDD-9FC1-C243685BC1E8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-06-30T00:00:00Z"}}, {"id": "05ab7dfa-9155-4575-a0a3-fdffd52f05d3-bundesamt-fur-umwelt-bafu", "type": "Feature", "geometry": null, "properties": {"updated": "2019-06-27T00:00:00", "type": "Dataset", "title": "Monthly soil erosion risk maps for Swiss permanent grassland, with average soil loss in tons/(ha*month), July", "description": "Monthly soil erosion risk maps for Swiss permanent grassland with a spatial resolution of 100m. 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Die digitale, blattschnittfreie Datenhaltung bildet eine detaillierte, bundesweit einheitliche und fl\u00e4chendeckende Informationsgrundlage f\u00fcr L\u00e4nder \u00fcbergreifende Aussagen zu Bodennutzung und Bodenschutz. \u00dcber den aktuellen Bearbeitungsstand des Kartenwerks informieren die Internetseiten der BGR zum Thema Boden. Die Verbreitung und Vergesellschaftung der B\u00f6den auf dem Gebiet dieses Kartenblattes wird anhand von 84 Legendeneinheiten (gegliedert nach Bodenregionen und Bodengro\u00dflandschaften) beschrieben. Jede Legendeneinheit beinhaltet bodensystematische Informationen (Bodensubtyp) und Informationen zum Bodenausgangsgestein sowohl f\u00fcr die Leitb\u00f6den als auch f\u00fcr deren Begleiter. Im Zuge der Bearbeitung des B\u00dcK200-Nachbarblattes Frankfurt a.M.-West wurde der LBG-Datensatz von Siegen am s\u00fcdlichen Blattrand in Teilen ver\u00e4ndert (Stand 29. April 2008). 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Juli 2013).", "formats": [{"name": "PDF"}], "keywords": ["ackerbauliches-ertragspotential", "boden", "bodenart", "bodenausgangsgestein", "bodenauslaugung", "bodenbearbeitung", "bodenbelastung", "bodenbildung", "bodenbiologie", "bodenchemie", "bodendegradation", "bodendekontamination", "bodeneigenschaften", "bodenerosion", "bodenfeuchtigkeit", "bodenform", "bodenfruchtbarkeit", "bodenfunktion", "bodengefu\u0308ge", "bodengesellschaft", "bodengestaltung", "bodengruppe", "bodengu\u0308te", "bodenhorizont", "bodeninformationssystem", "bodenkarte", "bodenluft", "bodenmechanik", "bodenmineralogie", "bodennutzbarkeit", "bodennutzung", "bodenphysikalische-eigenschaften", "bodenprofil", "bodenskelett", "bodensubstrat", "bodensystematik", "bodentyp", "bodenverbreitung", "de", "durchla\u0308ssigkeit", "effektive-durchwurzelungstiefe", "fachinformationssystem", "nordrhein-westfalen", "opendata", "soil"], "contacts": [{"organization": "Bundesanstalt f\u00fcr Geowissenschaften und Rohstoffe (BGR)", "roles": ["creator"]}]}, "links": [{"href": "https://download.bgr.de/bgr/Boden/BUEK200/4702/jpg/buek200_4702.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/4702/pdf/buek200_4702.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/4702/png/buek200_4702.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/4702/shp/buek200_4702.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/4702/tiff/buek200_4702.zip"}, {"href": "http://data.europa.eu/88u/dataset/0ffebed0-e30c-4f11-aea2-642221e908f5"}, {"rel": "self", "type": "application/geo+json", "title": "0FFEBED0-E30C-4F11-AEA2-642221E908F5", "name": "item", "description": "0FFEBED0-E30C-4F11-AEA2-642221E908F5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0FFEBED0-E30C-4F11-AEA2-642221E908F5"}, {"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": "0acd9a1fdfc46a90c7ba4feaee4af826", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:13:54Z", "type": "Dataset", "title": "Supplementary material 2 from: Augustinus BA, Lommen STE, Fogliatto S, Vidotto F, Smith T, Horvath D, Bonini M, Gentili RF, Citterio S, M\u00fcller-Sch\u00e4rer H, Schaffner U (2020) In-season leaf damage by a biocontrol agent explains reproductive output of an invasive plant species. 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E., Fogliatto, Silvia, Vidotto, Francesco, Smith, Tessa, Horvath, David, Bonini, Maira, Gentili, Rodolfo F., Citterio, Sandra, M\u00fcller-Sch\u00e4rer, Heinz, Schaffner, Urs,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/0acd9a1fdfc46a90c7ba4feaee4af826"}, {"rel": "self", "type": "application/geo+json", "title": "0acd9a1fdfc46a90c7ba4feaee4af826", "name": "item", "description": "0acd9a1fdfc46a90c7ba4feaee4af826", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0acd9a1fdfc46a90c7ba4feaee4af826"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-04-14T00:00:00Z"}}, {"id": "0ced9e8f-81c0-11e3-b99b-8851fb422c62", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:13:56Z", "type": "Dataset", "language": "de", "title": "Potential risk of wind erosion on arable soils in Germany 1:1,000,000", "description": "The Potential Wind Erosion Risk map gives an overview of the exposure of arable soils to soil loss due to deflation in Germany. It is based on pedological and climatic factors. The method to predict the soil erosion risk is published in the DIN 19706:2002 and in the documentation of Ad-hoc-AG Boden (representing the soil experts of the geological services of the German federal states). For the application with soil maps, the method was adapted by the Federal Institute for Geosciences and Natural Resources (BGR).The land use stratified soil map of Germany at scale 1:1,000,000 was used as pedological input to the model. The mean annual wind speed at 10 meters above ground level of the period 1980-2000 (DWD) is used as well. The land use information is derived from CORINE land cover data set (2006).", "formats": [{"name": "PDF"}], "keywords": ["bodenabtrag", "bodenerosion-durch-wind", "bundesrepublik-deutschland", "de", "erosionsanfa\u0308lligkeit", "erosionsgefa\u0308hrdung", "inspireidentifiziert", "opendata", "sandsturm", "soil"], "contacts": [{"organization": "Stegger, Ulrich", "roles": ["creator"]}]}, "links": [{"href": "https://download.bgr.de/bgr/Boden/pegwind1000/geotiff/pegwind1000_250_v10.zip"}, {"href": "https://download.bgr.de/bgr/Boden/pegwind1000/jpg300/pegwind1000_250_v10.zip"}, {"href": "https://download.bgr.de/bgr/Boden/pegwind1000/pdf/pegwind1000_250_v10.zip"}, {"href": "https://download.bgr.de/bgr/Boden/pegwind1000/png150/pegwind1000_250_v10.zip"}, {"href": "https://download.bgr.de/bgr/Boden/pegwind1000/tiff300/pegwind1000_250_v10.zip"}, {"href": "http://data.europa.eu/88u/dataset/29944fe2-7dcc-4322-82ca-960ed066b6d3~~1"}, {"rel": "self", "type": "application/geo+json", "title": "0ced9e8f-81c0-11e3-b99b-8851fb422c62", "name": "item", "description": "0ced9e8f-81c0-11e3-b99b-8851fb422c62", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0ced9e8f-81c0-11e3-b99b-8851fb422c62"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "0d41604c-c746-456d-ac96-2e183e7691b5", "type": "Feature", "geometry": null, "properties": {"updated": "2024-08-12T00:00:00", "type": "Dataset", "language": "de", "title": "Gebietsmonografie B\u00f6den im Sauer- und Siegerland", "description": "Die \u201eB\u00f6den im Sauer- und Siegerland\u201c fassen die Ergebnisse aus mehr als 50 Jahren Bodenkartierung des Geologischen Dienstes NRW zusammen. Nach einer Einf\u00fchrung in Naturraum und Klima sowie die Erd- und Landschaftsgeschichte werden Entstehung, Verbreitung, Eigenschaften und Nutzung der B\u00f6den und ihrer Substrate eingehend beschrieben. Dies erfolgt in unterschiedlichen Ma\u00dfstabsebenen und Karten von Bodenregionen \u00fcber Bodenlandschaften bis hin zu Leitbodengesellschaften mit ihren wichtigsten Bodenformen und Beispielprofilen. Erg\u00e4nzt werden diese durch Kennwerte zu Humusgehalten, Korngr\u00f6\u00dfen, pH-Werten, Basens\u00e4ttigungen u.v.m., f\u00fcr die die Analysenergebnisse von Tausenden von Bodenprofilen ausgewertet wurden. Hinweise zur Nutzung und Gef\u00e4hrdung der B\u00f6den sowie vorhandener Kartenwerke runden die Monografie ab.", "formats": [{"name": "PDF"}], "keywords": ["basensa\u0308ttigung", "boden", "bodenart", "bodeneigenschaften", "bodenentwicklung", "bodenerosion", "bodenform", "bodenfunktionen", "bodenkarte", "bodenkennwerte", "bodenkunde", "bodenlandschaft", "bodenschutz", "bodentyp", "cn-verha\u0308ltnis", "de", "ertragsfa\u0308higkeit", "faktoren-der-bodenbildung", "humusform", "humusgehalt", "korngro\u0308\u00dfen", "landschaftsgeschichte", "leitbodengesellschaft", "naturraum", "nutzungsgeschichte", "opendata", "ph-wert", "sauerland", "siegerland", "substrat", "versauerung", "waldboden"], "contacts": [{"organization": "Geologischer Dienst NRW", "roles": ["creator"]}]}, "links": [{"href": "https://www.gd.nrw.de/zip/pr_bs_boeden-siegerland-sauerland.pdf"}, {"href": "http://data.europa.eu/88u/dataset/0d41604c-c746-456d-ac96-2e183e7691b5"}, {"rel": "self", "type": "application/geo+json", "title": "0d41604c-c746-456d-ac96-2e183e7691b5", "name": "item", "description": "0d41604c-c746-456d-ac96-2e183e7691b5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0d41604c-c746-456d-ac96-2e183e7691b5"}, {"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": "0f71e68f-8c83-4371-8842-1a26abed1854", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[5.5, 47.25], [5.5, 55.2], [15.5, 55.2], [15.5, 47.25], [5.5, 47.25]]]}, "properties": {"updated": "2021-03-26", "type": "Service", "language": "ger", "title": "Land overview map of the Federal Republic of Germany 1:200.000 (WMS)", "description": "Web Map Service (WMS) of the B\u00dcK200 map sheets. The soil overview map 1:200,000 (B\u00dcK200) is compiled by the Federal Institute for Geosciences and Natural Resources (BGR) in cooperation with the State Geological Services (SGD) of the L\u00e4nder in the sheet section of the topographical overview map 1:200,000 (T\u00dcK200) and published in 55 individual map sheets. The digital, non-cutting data storage forms a detailed, nationwide uniform and comprehensive information basis for cross-border statements on land use and soil protection. The distribution and socialization of soils is currently described on a leaf-specific basis using leaf-laying units (divided by soil regions and large soil landscapes). Each legend unit contains soil systematic information (soil subtype) and information on the soil source rock for both the guide soils and their companions.", "formats": [{"name": "png"}, {"name": "OGC:WMS"}], "keywords": ["Boden", "Soil", "Bodenart", "Bodenauslaugung", "Bodenbearbeitung", "Bodenbelastung", "Bodenbildung", "Bodenbiologie", "Bodenchemie", "Bodendegradation", "Bodendekontamination", "Bodenerosion", "Bodenfeuchtigkeit", "Bodenfruchtbarkeit", "Bodenfunktion", "Bodengestaltung", "Bodeng\u00fcte", "Bodenkarte", "Bodenluft", "Bodenmechanik", "Bodenmineralogie", "Bodennutzbarkeit", "Bodennutzung", "ackerbauliches Ertragspotential", "Bodeneigenschaften", "Bodengef\u00fcge", "Bodengruppe", "Bodenhorizont", "bodenphysikalische Eigenschaften", "Bodenskelett", "Bodenverbreitung", "Durchl\u00e4ssigkeit", "effektive Durchwurzelungstiefe", "Bodenausgangsgestein", "Bodenform", "Bodengesellschaft", "Bodeninformationssystem", "Bodenprofil", "Bodensubstrat", "Bodensystematik", "Bodentyp", "Fachinformationssystem", "infoMapAccessService", "inspireidentifiziert", "opendata", "Deutschland", "National"], "contacts": [{"name": "Stegger, Ulrich", "organization": "Bundesanstalt f\u00fcr Geowissenschaften und Rohstoffe (BGR)", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "fis.bo@bgr.de"}], "addresses": [{"deliveryPoint": ["Stilleweg 2"], "city": "Hannover", "administrativeArea": null, "postalCode": "30655", "country": "DE"}], "links": [{"href": null}]}], "themes": [{"concepts": [{"id": "Boden"}, {"id": "Soil"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Bodenart"}, {"id": "Bodenauslaugung"}, {"id": "Bodenbearbeitung"}, {"id": "Bodenbelastung"}, {"id": "Bodenbildung"}, {"id": "Bodenbiologie"}, {"id": "Bodenchemie"}, {"id": "Bodendegradation"}, {"id": "Bodendekontamination"}, {"id": "Bodenerosion"}, {"id": "Bodenfeuchtigkeit"}, {"id": "Bodenfruchtbarkeit"}, {"id": "Bodenfunktion"}, {"id": "Bodengestaltung"}, {"id": "Bodeng\u00fcte"}, {"id": "Bodenkarte"}, {"id": "Bodenluft"}, {"id": "Bodenmechanik"}, {"id": "Bodenmineralogie"}, {"id": "Bodennutzbarkeit"}, {"id": "Bodennutzung"}], "scheme": "GEMET - Concepts, version 2.4"}, {"concepts": [{"id": "ackerbauliches Ertragspotential"}, {"id": "Bodeneigenschaften"}, {"id": "Bodengef\u00fcge"}, {"id": "Bodengruppe"}, {"id": "Bodenhorizont"}, {"id": "bodenphysikalische Eigenschaften"}, {"id": "Bodenskelett"}, {"id": "Bodenverbreitung"}, {"id": "Durchl\u00e4ssigkeit"}, {"id": "effektive Durchwurzelungstiefe"}], "scheme": "SGD-Liste"}, {"concepts": [{"id": "National"}], "scheme": "Spatial scope"}], "title_alternate": "B\u00dcK200 (WMS)"}, "links": [{"href": "https://services.bgr.de/wms/boden/buek200/?REQUEST=GetCapabilities&SERVICE=wms&VERSION=1.3.0", "protocol": "OGC:WMS", "rel": null}, {"href": "https://services.bgr.de/boden/buek200", "description": "Karte im BGR-Geoviewer", "rel": "information"}, {"href": "https://services.bgr.de/wms/boden/buek200/?"}, {"href": "https://services.bgr.de/wms/boden/buek200/?"}, {"href": "https://download.bgr.de/bgr/boden/BUEK200/WMS/Beispielbild/buek200.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": "0f71e68f-8c83-4371-8842-1a26abed1854", "name": "item", "description": "0f71e68f-8c83-4371-8842-1a26abed1854", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0f71e68f-8c83-4371-8842-1a26abed1854"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-26T00:00:00Z"}}, {"id": "10.1002/2014jg002635", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:13:58Z", "type": "Journal Article", "created": "2014-11-18", "title": "Woody Plant Encroachment Into Grasslands Leads To Accelerated Erosion Of Previously Stable Organic Carbon From Dryland Soils", "description": "AbstractDrylands worldwide are experiencing rapid and extensive environmental change, concomitant with the encroachment of woody vegetation into grasslands. Woody encroachment leads to changes in both the structure and function of dryland ecosystems and has been shown to result in accelerated soil erosion and loss of soil nutrients. Covering 40% of the terrestrial land surface, dryland environments are of global importance, both as a habitat and a soil carbon store. Relationships between environmental change, soil erosion, and the carbon cycle are uncertain. There is a clear need to further our understanding of dryland vegetation change and impacts on carbon dynamics. Here two grass\uffe2\uff80\uff90to\uffe2\uff80\uff90woody ecotones that occur across large areas of the southwestern United States are investigated. This study takes a multidisciplinary approach, combining ecohydrological monitoring of structure and function and a dual\uffe2\uff80\uff90proxy biogeochemical tracing approach using the unique natural biochemical signatures of the vegetation. Results show that following woody encroachment, not only do these drylands lose significantly more soil and organic carbon via erosion but that this includes significant amounts of legacy organic carbon which would previously have been stable under grass cover. Results suggest that these dryland soils may not act as a stable organic carbon pool, following encroachment and that accelerated erosion of carbon, driven by vegetation change, has important implications for carbon dynamics.
", "keywords": ["2. Zero hunger", "soil erosion", "info:eu-repo/classification/ddc/550", "550", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "soil carbon pool", "13. Climate action", "biogeochemical tracing", "woody encroachment", "0401 agriculture", " forestry", " and fisheries", "Geosciences", " Multidisciplinary", "dryland vegetation change", "Environmental Sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1002/2014jg002635"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geophysical%20Research%3A%20Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/2014jg002635", "name": "item", "description": "10.1002/2014jg002635", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/2014jg002635"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-12-01T00:00:00Z"}}, {"id": "10.1002/2017GB005693", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:13:58Z", "type": "Journal Article", "created": "2017-10-02", "title": "Release of Black Carbon From Thawing Permafrost Estimated by Sequestration Fluxes in the East Siberian Arctic Shelf Recipient", "description": "AbstractBlack carbon (BC) plays an important role in carbon burial in marine sediments globally. Yet the sequestration of BC in the Arctic Ocean is poorly understood. Here we assess the concentrations, fluxes, and sources of soot BC (SBC)\uffe2\uff80\uff94the most refractory component of BC\uffe2\uff80\uff94in sediments from the East Siberian Arctic Shelf (ESAS), the World's largest shelf sea system. SBC concentrations in the contemporary shelf sediments range from 0.1 to 2.1\uffc2\uffa0mg\uffc2\uffa0g\uffe2\uff88\uff921\uffc2\uffa0dw, corresponding to 2\uffe2\uff80\uff9312% of total organic carbon. The 210Pb\uffe2\uff80\uff90derived fluxes of SBC (0.42\uffe2\uff80\uff9311\uffc2\uffa0g\uffc2\uffa0m\uffe2\uff88\uff922\uffc2\uffa0yr\uffe2\uff88\uff921) are higher or in the same range as fluxes reported for marine surface sediments closer to anthropogenic emissions. The total burial flux of SBC in the ESAS (~4,000\uffc2\uffa0Gg\uffc2\uffa0yr\uffe2\uff88\uff921) illustrates the great importance of this Arctic shelf in marine sequestration of SBC. The radiocarbon signal of the SBC shows more depleted yet also more uniform signatures (\uffe2\uff88\uff92721 to \uffe2\uff88\uff92896\uffe2\uff80\uffb0; average of \uffe2\uff88\uff92774\uffc2\uffa0\uffc2\uffb1\uffc2\uffa062\uffe2\uff80\uffb0) than of the non\uffe2\uff80\uff90SBC pool (\uffe2\uff88\uff92304 to \uffe2\uff88\uff92728\uffe2\uff80\uffb0; average of \uffe2\uff88\uff92491\uffc2\uffa0\uffc2\uffb1\uffc2\uffa0163\uffe2\uff80\uffb0), suggesting that SBC is coming from an, on average, 5,900\uffc2\uffa0\uffc2\uffb1\uffc2\uffa0300\uffc2\uffa0years older and more specific source than the non\uffe2\uff80\uff90SBC pool. We estimate that the atmospheric BC input to the ESAS is negligible (~0.6% of the SBC burial flux). Statistical source apportionment modeling suggests that the ESAS sedimentary SBC is remobilized by thawing of two permafrost carbon (PF/C) systems: surface soil permafrost (topsoil/PF; 25\uffc2\uffa0\uffc2\uffb1\uffc2\uffa08%) and Pleistocene ice complex deposits (ICD/PF; 75\uffc2\uffa0\uffc2\uffb1\uffc2\uffa08%). The SBC contribution to the total mobilized permafrost carbon (PF/C) increases with increasing distance from the coast (from 5 to 14%), indicating that the SBC is more recalcitrant than other forms of translocated PF/C. These results elucidate for the first time the key role of permafrost thaw in the transport of SBC to the Arctic Ocean. With ongoing global warming, these findings have implications for the biogeochemical carbon cycle, increasing the size of this refractory carbon pool in the Arctic Ocean.
", "keywords": ["13. Climate action", "Arctic Ocean", "SDG 14 - Life Below Water", "14. Life underwater", "black carbon", "01 natural sciences", "permafrost", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1002/2017GB005693"}, {"href": "https://doi.org/10.1002/2017GB005693"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Biogeochemical%20Cycles", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/2017GB005693", "name": "item", "description": "10.1002/2017GB005693", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/2017GB005693"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-10-01T00:00:00Z"}}, {"id": "10.1002/2017gb005693", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:13:58Z", "type": "Journal Article", "created": "2017-10-02", "title": "Release of Black Carbon From Thawing Permafrost Estimated by Sequestration Fluxes in the East Siberian Arctic Shelf Recipient", "description": "AbstractBlack carbon (BC) plays an important role in carbon burial in marine sediments globally. Yet the sequestration of BC in the Arctic Ocean is poorly understood. Here we assess the concentrations, fluxes, and sources of soot BC (SBC)\uffe2\uff80\uff94the most refractory component of BC\uffe2\uff80\uff94in sediments from the East Siberian Arctic Shelf (ESAS), the World's largest shelf sea system. SBC concentrations in the contemporary shelf sediments range from 0.1 to 2.1\uffc2\uffa0mg\uffc2\uffa0g\uffe2\uff88\uff921\uffc2\uffa0dw, corresponding to 2\uffe2\uff80\uff9312% of total organic carbon. The 210Pb\uffe2\uff80\uff90derived fluxes of SBC (0.42\uffe2\uff80\uff9311\uffc2\uffa0g\uffc2\uffa0m\uffe2\uff88\uff922\uffc2\uffa0yr\uffe2\uff88\uff921) are higher or in the same range as fluxes reported for marine surface sediments closer to anthropogenic emissions. The total burial flux of SBC in the ESAS (~4,000\uffc2\uffa0Gg\uffc2\uffa0yr\uffe2\uff88\uff921) illustrates the great importance of this Arctic shelf in marine sequestration of SBC. The radiocarbon signal of the SBC shows more depleted yet also more uniform signatures (\uffe2\uff88\uff92721 to \uffe2\uff88\uff92896\uffe2\uff80\uffb0; average of \uffe2\uff88\uff92774\uffc2\uffa0\uffc2\uffb1\uffc2\uffa062\uffe2\uff80\uffb0) than of the non\uffe2\uff80\uff90SBC pool (\uffe2\uff88\uff92304 to \uffe2\uff88\uff92728\uffe2\uff80\uffb0; average of \uffe2\uff88\uff92491\uffc2\uffa0\uffc2\uffb1\uffc2\uffa0163\uffe2\uff80\uffb0), suggesting that SBC is coming from an, on average, 5,900\uffc2\uffa0\uffc2\uffb1\uffc2\uffa0300\uffc2\uffa0years older and more specific source than the non\uffe2\uff80\uff90SBC pool. We estimate that the atmospheric BC input to the ESAS is negligible (~0.6% of the SBC burial flux). Statistical source apportionment modeling suggests that the ESAS sedimentary SBC is remobilized by thawing of two permafrost carbon (PF/C) systems: surface soil permafrost (topsoil/PF; 25\uffc2\uffa0\uffc2\uffb1\uffc2\uffa08%) and Pleistocene ice complex deposits (ICD/PF; 75\uffc2\uffa0\uffc2\uffb1\uffc2\uffa08%). The SBC contribution to the total mobilized permafrost carbon (PF/C) increases with increasing distance from the coast (from 5 to 14%), indicating that the SBC is more recalcitrant than other forms of translocated PF/C. These results elucidate for the first time the key role of permafrost thaw in the transport of SBC to the Arctic Ocean. With ongoing global warming, these findings have implications for the biogeochemical carbon cycle, increasing the size of this refractory carbon pool in the Arctic Ocean.Insights into the fascinating molecular world of biological processes are crucial for understanding diseases, developing diagnostics, and effective therapeutics. These processes are complex as they involve interactions between four major classes of biomolecules, i.e., proteins, nucleic acids, carbohydrates, and lipids, which makes it important to be able to discriminate between all these different biomolecular species. In this work, a deep learning\uffe2\uff80\uff90augmented, chemically\uffe2\uff80\uff90specific nanoplasmonic technique that enables such a feat in a label\uffe2\uff80\uff90free manner to not disrupt native processes is presented. The method uses a highly sensitive multiresonant plasmonic metasurface in a microfluidic device, which enhances infrared absorption across a broadband mid\uffe2\uff80\uff90IR spectrum and in water, despite its strongly overlapping absorption bands. The real\uffe2\uff80\uff90time format of the optofluidic method enables the collection of a vast amount of spectrotemporal data, which allows the construction of a deep neural network to discriminate accurately between all major classes of biomolecules. The capabilities of the new method are demonstrated by monitoring of a multistep bioassay containing sucrose\uffe2\uff80\uff90 and nucleotides\uffe2\uff80\uff90loaded liposomes interacting with a small, lipid membrane\uffe2\uff80\uff90perforating peptide. It is envisioned that the presented technology will impact the fields of biology, bioanalytics, and pharmacology from fundamental research and disease diagnostics to drug development.Gypsum soils in the Mediterranean Basin house large numbers of edaphic specialists that are adapted to stressful environments. The evolutionary history and standing genetic variation of these taxa have been influenced by the geological and paleoclimatic complexity of this area and the long\uffe2\uff80\uff90standing effect of human activities. However, little is known about the origin of Mediterranean gypsophiles and the factors affecting their genetic diversity and population structure.
METHODSUsing phylogenetic and phylogeographic approaches based on microsatellites and sequence data from nuclear and chloroplast regions, we evaluated the divergence time, genetic diversity, and population structure of 27 different populations of the widespread Iberian gypsophile Lepidium subulatum throughout its entire geographic range.
RESULTSLepidium subulatum diverged from its nearest relatives ~3 million years ago, and ITS and psbA/matK trees supported the monophyly of the species. These results suggest that both geological and climatic changes in the region around the Plio\uffe2\uff80\uff90Pleistocene promoted its origin, compared to other evolutionary processes. We found high genetic diversity in both nuclear and chloroplast markers, but a greater population structure in the chloroplast data. These results suggest that while seed dispersal is limited, pollen flow may be favored by the presence of numerous habitat patches that enhance the movement of pollinators.
CONCLUSIONSDespite being an edaphic endemic, L. subulatum possesses high genetic diversity probably related to its relatively old age and high population sizes across its range. Our study highlights the value of using different markers to fully understand the phylogeographic history of plant species.The radical polymerization of styrene (St) initiated by a trifluoromethyl radical generated from a perfluorinated highly branched persistent radical (PPFR) is presented with an isolated yield above 70\uffe2\uff80\uff89%. The release of .CF3 radical occurred from a temperature above 85\uffe2\uff80\uff89\uffc2\uffb0C. Deeper 1H and 19F\uffe2\uff80\uff85NMR spectroscopies of the resulting fluorinated polystyrenes (CF3\uffe2\uff80\uff90PSts) evidenced the presence of both CF3 end\uffe2\uff80\uff90group of the PSt chain and the trifluoromethylation of the phenyl ring (in meta\uffe2\uff80\uff90position mainly). [PPFR]0/[St]0 initial molar ratios of 3:1, 3:10 and 3:100 led to various molar masses ranging from 1750 to 5400\uffe2\uff80\uff85g\uffe2\uff80\uff89mol\uffe2\uff88\uff921 in 70\uffe2\uff80\uff9386\uffe2\uff80\uff89% yields. MALDI\uffe2\uff80\uff90TOF spectrometry of such CF3\uffe2\uff80\uff90PSts highlighted polymeric distributions which evidenced differences between m/z fragments of 104 and 172 corresponding to styrene and trifluoromethyl styrene units, respectively. Such CF3\uffe2\uff80\uff90PSt polymers were also compared to conventional PSts produced from the radical polymerization of St initiated by a peroxydicarbonate initiator. A mechanism of the polymerization is presented showing the formation of a trifluoromethyl styrene first, followed by its radical (co)polymerization with styrene. The thermal properties (thermal stability and glass transition temperature, Tg) of these polymers were also compared and revealed a much better thermal stability of the CF3\uffe2\uff80\uff90PSt (10\uffe2\uff80\uff89% weight loss at 356\uffe2\uff80\uff93376\uffe2\uff80\uff89\uffc2\uffb0C) and a Tg of around 70\uffe2\uff80\uff89\uffc2\uffb0C.Meiofauna (all invertebrates smaller than 1\uffe2\uff80\uff89mm) are not only sensitive to environmental changes but also contribute significantly to nutrient cycling and energy transfer to higher trophic levels. Despite their importance, meiofauna distribution and ecology in the Siberian seas remain understudied. Here, we employ sediment environmental DNA metabarcoding to characterize meiofauna diversity across the unexplored Siberian seas. We show that meiofauna community structure is primarily driven by river discharge and coastal erosion, which are heavily influenced by climate change, rather than geographical distinctions between the seas. We observed higher meiofauna diversity in nearshore areas where river plumes promoted colonizer nematode communities that are resilient to disturbances. Yet, their dominance may lead to decreased ecosystem stability in the future. This study provides a valuable baseline for meiofauna diversity in remote Siberian seas undergoing rapid environmental change, which will be useful for assessing the future direction and pace of benthic ecological trajectories.Every application of soil erosion models brings the need of proper parameterisation, that is, finding physically or conceptually plausible parameter values that allow a model to reproduce measured values. No universal approach for model parameterisation, calibration and validation exists, as it depends on the model, spatial and temporal resolution and the nature of the datasets used. We explored some existing options for parameterisation, calibration and validation for erosion modelling exemplary with a specific dataset and modelling approach. A new Morgan\uffe2\uff80\uff90Morgan\uffe2\uff80\uff90Finney (MMF)\uffe2\uff80\uff90type model was developed, representing a balanced position between physically\uffe2\uff80\uff90based and empirical modelling approaches. The resulting model termed \uffe2\uff80\uff98calculator for soil erosion\uffe2\uff80\uff99 (CASE), works in a spatially distributed way on the timescale of individual rainfall events. A dataset of 142 high\uffe2\uff80\uff90intensity rainfall experiments in Central Europe (AT, HU, IT, CZ), covering various slopes, soil types and experimental designs was used for calibration and validation with a modified Monte\uffe2\uff80\uff90Carlo approach. Subsequently, model parameter values were compared to parameter values obtained by alternative methods (measurements, pedotransfer functions, literature data). The model reproduced runoff and soil loss of the dataset in the validation setting with R2adj of 0.89 and 0.76, respectively. Satisfactory agreement for the water phase was found, with calibrated saturated hydraulic conductivity (ksat) values falling within the interquartile range of ksat predicted with 14 different pedotransfer functions, or being within one order of magnitude. The chosen approach also well reflected specific experimental setups contained in the dataset dealing with the effects of consecutive rainfall and different soil water conditions. For the sediment phase of the tested model agreement between calibrated cohesion, literature values and field measurements were only partially in line. The methods we explored may specifically be interesting for use with other MMF\uffe2\uff80\uff90type models, or with similar datasets.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 (> 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 & Sons, Ltd.
", "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": "10.1002/jpln.202000183", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:14:07Z", "type": "Journal Article", "created": "2020-10-09", "title": "Effects of water deficit and nitrogen application on leaf gas exchange, phytohormone signaling, biomass and water use efficiency of oat plants", "description": "AbstractBackground: Water and nitrogen (N) are essential resources influencing plant growth and yield. To improve their efficiencies in crop production is challenging because the physiological mechanisms of water and N coupling and their interactive effect on crop water use efficiency (WUE) are not well understood yet.
Aim: The aim of this study was to investigate the physiological responses and phytohormones signaling in oats in response to soil water status and N supply under fertigation, to explore the mechanisms regulating plant growth and WUE.
Methods: Oat plants were subjected to the factorial combination of three soil moisture regimes (50, 70, and 90% of soil water holding capacity, SWHC) and three N levels (fertilized with 74, 149, and 298 mg kg\uffe2\uff88\uff921).
Results: The stomatal conductance (gs) was significantly decreased by soil water deficit, and also by the highest N level, whereas photosynthesis rate (An) was unaffected by neither water nor N. Consequently, intrinsic WUE (WUEint, An/gs) was highest under reduced irrigation and high N fertilization. This effect at stomatal level was affirmed by responses in whole plant WUE (WUEb), which was positively correlated with shoot \uffce\uffb413C. A positive correlation between \uffce\uffb418O and \uffce\uffb413C in shoots further indicated that decreases of gs rather than changes in An contributed to the enhanced WUE.
Conclusion: Moderate soil water deficit and sufficient N supply is recommended for saving irrigation water and improving WUE on fertigated oat plants without compromising biomass accumulation to any large extent.Dissolved organic matter (DOM) composition exerts a direct control on its degradation and subsequent persistence in aquatic ecosystems. Yet, under certain conditions, the degradation patterns of DOM cannot be solely explained by its composition, highlighting the relevance of environmental conditions for DOM degradation. Here, we experimentally assessed the relative influence of composition vs. environment on DOM degradation by performing degradation bioassays using three contrasting DOM sources inoculated with a standardized bacterial inoculum under five distinct environments. The DOM degradation kinetics modeled using reactivity continuum models showed that composition was more important than environment in determining the bulk DOM decay patterns. Changes in DOM composition resulted from the interaction between DOM source and environment. The role of environment was stronger on shaping the bacterial community composition, but the intrinsic nature of the DOM source exerted stronger control on the DOM degradation function.High\uffe2\uff80\uff90resolution mass spectrometry (HRMS) has become a vital tool for dissolved organic matter (DOM) characterization. The upward trend in HRMS analysis of DOM presents challenges in data comparison and interpretation among laboratories operating instruments with differing performance and user operating conditions. It is therefore essential that the community establishes metric ranges and compositional trends for data comparison with reference samples so that data can be robustly compared among research groups. To this end, four identically prepared DOM samples were each measured by 16 laboratories, using 17 commercially purchased instruments, using positive\uffe2\uff80\uff90ion and negative\uffe2\uff80\uff90ion mode electrospray ionization (ESI) HRMS analyses. The instruments identified ~1000 common ions in both negative\uffe2\uff80\uff90 and positive\uffe2\uff80\uff90ion modes over a wide range of m/z values and chemical space, as determined by van Krevelen diagrams. Calculated metrics of abundance\uffe2\uff80\uff90weighted average indices (H/C, O/C, aromaticity, and m/z) of the commonly detected ions showed that hydrogen saturation and aromaticity were consistent for each reference sample across the instruments, while average mass and oxygenation were more affected by differences in instrument type and settings. In this paper we present 32 metric values for future benchmarking. The metric values were obtained for the four different parameters from four samples in two ionization modes and can be used in future work to evaluate the performance of HRMS instruments.Performance degradation of solid oxide fuel cells due to chromium volatilization is a well\uffe2\uff80\uff90investigated issue in the literature. Therefore, retention coatings were developed to distinctly reduce the chromium volatilization. One approach was by alloying with manganese to ferritic steels to form manganese chromium spinel which is reported to decrease chromium volatilization by 61\uffe2\uff80\uff9375%. In the present paper, the volatilization rates of pure manganese chromium spinel ceramics were examined as well as those of the two oxides forming this spinel\uffe2\uff80\uff94pure chromium oxide and pure manganese oxide\uffe2\uff80\uff94in synthetic air containing 10% water vapor (high p(O2)) and argon/hydrogen containing 10% water vapor (low p(O2)) at 850\uffc2\uffb0C, 950\uffc2\uffb0C, and 1,050\uffc2\uffb0C. Chromium oxide showed higher volatilization rates in high p(O2), whereas manganese oxide demonstrated higher volatilization rates in low p(O2). Contradictory to the literature, manganese chromium spinel displayed the highest volatilization rates in both atmospheres and nonlinear kinetics behavior. This deviation from linear behavior can be attributed to diffusion\uffe2\uff80\uff90controlled volatilization in high p(O2).
", "keywords": ["0103 physical sciences", "02 engineering and technology", "0210 nano-technology", "01 natural sciences", "chromium oxide", " diffusion\u2010controlled volatilization", " manganese chromium spinel", " manganese oxide", " water vapor corrosion"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1002/maco.201810655"}, {"href": "https://doi.org/10.1002/maco.201810655"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Materials%20and%20Corrosion", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/maco.201810655", "name": "item", "description": "10.1002/maco.201810655", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/maco.201810655"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-04-03T00:00:00Z"}}, {"id": "10.1002/ppp.2230", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:14:11Z", "type": "Journal Article", "created": "2024-06-18", "title": "A Third of Organic Carbon Is Mineral Bound in Permafrost Sediments Exposed by the World's Largest Thaw Slump, Batagay, Siberia", "description": "ABSTRACTOrganic carbon (OC) in permafrost interacts with the mineral fraction of soil and sediments, representing <\uffe2\uff80\uff891% to ~80% of the total OC pool. Quantifying the nature and controls of mineral\uffe2\uff80\uff93OC interactions is therefore crucial for realistic assessments of permafrost\uffe2\uff80\uff90carbon\uffe2\uff80\uff90climate feedbacks, especially in ice\uffe2\uff80\uff90rich regions facing rapid thaw and the development of thermo\uffe2\uff80\uff90erosion landforms. Here, we analyzed sediment samples from the Batagay megaslump in East Siberia, and we present total element concentrations, mineralogy, and mineral\uffe2\uff80\uff93OC interactions in its different stratigraphic units. Our findings indicate that up to 34\uffe2\uff80\uff89\uffc2\uffb1\uffe2\uff80\uff898% of the OC pool interacts with mineral surfaces or elements. Interglacial deposits exhibit enhanced OC\uffe2\uff80\uff93mineral interactions, where OC has undergone greater microbial transformation and has likely low degradability. We provide a first\uffe2\uff80\uff90order estimate of ~12,000 tons of OC mobilized annually downslope of the headwall (i.e., the approximate mass of 30 large aircrafts), with a maximum of 38% interacting with OC via complexation with metals or associations to poorly crystalline iron oxides. These data imply that over one\uffe2\uff80\uff90third of the OC exposed by the slump is not readily available for mineralization, potentially leading to prolonged OC residence time in soil and sediments under stable physicochemical conditions.The stabilizing properties of mineral\uffe2\uff80\uff93organic carbon (OC) interactions have been studied in many soil environments (temperate soils, podzol lateritic soils, and paddy soils). Recently, interest in their role in permafrost regions is increasing as permafrost was identified as a hotspot of change. In thawing ice\uffe2\uff80\uff90rich permafrost regions, such as the Yedoma domain, 327\uffe2\uff80\uff93466 Gt of frozen OC is buried in deep sediments. Interactions between minerals and OC are important because OC is located very near the mineral matrix. Mineral surfaces and elements could mitigate recent and future greenhouse gas emissions through physical and/or physicochemical protection of OC. The dynamic changes in redox and pH conditions associated with thermokarst lake formation and drainage trigger metal\uffe2\uff80\uff90oxide dissolution and precipitation, likely influencing OC stabilization and microbial mineralization. However, the influence of thermokarst processes on mineral\uffe2\uff80\uff93OC interactions remains poorly constrained. In this study, we aim to characterize Fe, Mn, Al, and Ca minerals and their potential protective role for OC. Total and selective extractions were used to assess the crystalline and amorphous oxides or complexed metal pools as well as the organic acids found within these pools. We analyzed four sediment cores from an ice\uffe2\uff80\uff90rich permafrost area in Central Yakutia, which were drilled (i) in undisturbed Yedoma uplands, (ii) beneath a recent lake formed within Yedoma deposits, (iii) in a drained thermokarst lake basin, and (iv) beneath a mature thermokarst lake from the early Holocene period. We find a decrease in the amount of reactive Fe, Mn, Al, and Ca in the deposits on lake formation (promoting reduction reactions), and this was largely balanced by an increase in the amount of reactive metals in the deposits on lake drainage (promoting oxidation reactions). We demonstrate an increase in the metal to C molar ratio on thermokarst process, which may indicate an increase in metal\uffe2\uff80\uff93C bindings and could provide a higher protective role against microbial mineralization of organic matter. Finally, we find that an increase in mineral\uffe2\uff80\uff93OC interactions corresponded to a decrease in CO2 and CH4 gas emissions on thermokarst process. Mineral\uffe2\uff80\uff93OC interactions could mitigate greenhouse gas production from permafrost thaw as soon as lake drainage occurs.Ongoing and amplified climate change in the Arctic is leading to glacier retreat and to the exposure of an ever\uffe2\uff80\uff90larger portion of non\uffe2\uff80\uff90glaciated permafrost\uffe2\uff80\uff90dominated landscapes. Warming will also cause more precipitation to fall as rain, further enhancing the thaw of previously frozen ground. Yet, the impact of those perturbations on the geochemistry of Arctic rivers remains a subject of debate. Here, we determined the geochemical composition of waters from various contrasting non\uffe2\uff80\uff90glacial permafrost catchments and investigated their impact on a glacially dominated river, the Zackenberg River (Northeast Greenland), during late summer (August 2019). We also studied the effect of rainfall on the geochemistry of the Zackenberg River, its non\uffe2\uff80\uff90glacial tributaries, and a nearby independent non\uffe2\uff80\uff90glacial headwater stream Gr\uffc3\uffa6nse. We analyzed water properties, quantified and characterized dissolved organic matter (DOM) using absorbance and fluorescence spectroscopy and radiocarbon isotopes, and set this alongside analyses of the major cations (Ca, Mg, Na, and K), dissolved silicon (Si), and germanium/silicon ratios (Ge/Si). The glacier\uffe2\uff80\uff90fed Zackenberg River contained low concentrations of major cations, dissolved Si and dissolved organic carbon (DOC), and a Ge/Si ratio typical of bulk rock. Glacial DOM was enriched in protein\uffe2\uff80\uff90like fluorescent DOM and displayed relatively depleted radiocarbon values (i.e., old DOM). Non\uffe2\uff80\uff90glacial streams (i.e., tributaries and Gr\uffc3\uffa6nse) had higher concentrations of major cations and DOC and DOM enriched in aromatic compounds. They showed a wide range of values for radiocarbon, Si and Ge/Si ratios associated with variable contributions of surface runoff relative to deep active layer leaching. Before the rain event, Zackenberg tributaries did not contribute notably to the solute export of the Zackenberg River, and supra\uffe2\uff80\uff90permafrost ground waters governed the supply of solutes in Zackenberg tributaries and Gr\uffc3\uffa6nse stream. After the rain event, surface runoff modified the composition of Gr\uffc3\uffa6nse stream, and non\uffe2\uff80\uff90glacial tributaries strongly increased their contribution to the Zackenberg River solute export. Our results show that summer rainfall events provide an additional source of DOM and Si\uffe2\uff80\uff90rich waters from permafrost\uffe2\uff80\uff90underlain catchments to the discharge of glacially dominated rivers. This suggests that the magnitude and composition of solute exports from Arctic rivers are modulated by permafrost thaw and summer rain events. This event\uffe2\uff80\uff90driven solute supply will likely impact the carbon cycle in rivers, estuaries, and oceans and should be included into future predictions of carbon balance in these vulnerable Arctic systems.The combination of plant residues with inorganic fertiliser\uffe2\uff80\uff90N provides the potential to increase N\uffe2\uff80\uff90use efficiency in agricultural fruit production systems, such as olive orchards. The development of weeds in the inter\uffe2\uff80\uff90canopy area of olive orchards is encouraged as a novel strategy to reduce soil erosion. However, little is known about soil N retention or N2O production following the combined application of inorganic\uffe2\uff80\uff90N with the mulched weed residues.
METHODSEmissions of 15N\uffe2\uff80\uff90N2O and soil mineral 15N retention were measured following combined applications of 15N\uffe2\uff80\uff90labelled fertiliser and a range of olive crop weed residues to a silty loam soil under controlled conditions. These plant residues differed in their C:N ratios, lignin and polyphenol contents.
RESULTSThe magnitude of soil 15N\uffe2\uff80\uff90NO3\uffe2\uff80\uff93 retention from combining plant residues and fertiliser\uffe2\uff80\uff90N was highly dependent on potential N mineralisation (r\uffe2\uff80\uff89=\uffe2\uff80\uff89\uffe2\uff88\uff920.96) and the (lignin\uffe2\uff80\uff89+\uffe2\uff80\uff89polyphenol)\uffe2\uff80\uff90to\uffe2\uff80\uff90N ratio (r\uffe2\uff80\uff89=\uffe2\uff80\uff890.98) of the residues. Fertiliser\uffe2\uff80\uff90N\uffe2\uff80\uff90derived retention was zero for a legume\uffe2\uff80\uff90based mulch but up to 80% in the treatment containing plant residues with a high (lignin\uffe2\uff80\uff89+\uffe2\uff80\uff89polyphenol)\uffe2\uff80\uff90to\uffe2\uff80\uff90N ratio. N2O emissions increased after the addition of residues, and increased further (up to 128%) following the combined application of inorganic fertiliser and residues. Fertiliser\uffe2\uff80\uff90derived 15N\uffe2\uff80\uff90N2O was <1.4% of the total 14+15N\uffe2\uff80\uff90N2O emission and <0.01% of the applied 15N\uffe2\uff80\uff90NO3\uffe2\uff80\uff93. Enhanced N2O emissions following the application of residues and the fertiliser\uffe2\uff80\uff90N values were positively correlated with the C:N ratio of the residue. Thus, combining organic\uffe2\uff80\uff90 and inorganic\uffe2\uff80\uff90N immobilised a significant proportion of the inorganic N with little increase in N2O, especially in low C:N ratio residues.
CONCLUSIONSThe results demonstrate that whilst there is potential for N2O emissions to be controlled by combining weed residues and inorganic fertilisers, this is not easy to achieve as the magnitude and direction of interactions vary between different species due to their varying substrate qualities. Copyright \uffc2\uffa9 2012 John Wiley & Sons, Ltd.
", "keywords": ["2. Zero hunger", "Nitrogen", "Chemistry", " Analytical", "Nitrous Oxide", "04 agricultural and veterinary sciences", "15. Life on land", "Plants", "01 natural sciences", "6. Clean water", "Biochemical Research Methods", "0104 chemical sciences", "Soil", "13. Climate action", "Soil Pollutants", "0401 agriculture", " forestry", " and fisheries", "Fertilizers", "Spectroscopy", "Environmental Monitoring"]}, "links": [{"href": "https://doi.org/10.1002/rcm.6254"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Rapid%20Communications%20in%20Mass%20Spectrometry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/rcm.6254", "name": "item", "description": "10.1002/rcm.6254", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/rcm.6254"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-09-10T00:00:00Z"}}, {"id": "10.1007/978-3-031-12786-1_33", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:14:14Z", "type": "Report", "created": "2023-01-01", "title": "MONARCH Regional Reanalysis of\u00a0Desert Dust Aerosols: An Initial Assessment", "description": "Open AccessWe acknowledge the DustClim project which is part of ERA4CS, an ERA-NET initiated by JPI Climate, and funded by FORMAS (SE), DLR (DE), BMWFW (AT), IFD (DK), MINECO (ES), ANR (FR) with co-funding by the European Union\u2019s Horizon 2020 research and innovation programme (Grant n. 690462). BSC co-authors also acknowledge support from the European Research Council under the European Union\u2019s Horizon 2020 research and innovation programme (grant n. 773051; FRAGMENT), the AXA Research Fund, the 60 Spanish Ministry of Science, Innovation and Universities (grant n. RYC-2015-18690 and CGL2017-88911-R), the European Union\u2019s Horizon 2020 research and innovation programme (grant n. 792103; SOLWARIS). This work has been partially funded by the contribution agreement between AEMET and BSC to carry out development and improvement activities of the products and services supplied by the WMO Sand and Dust Storm Regional Centres. Jer\u00f3nimo Escribano and Martina Klose have received funding from the European Union\u2019s Horizon 2020 research and innovation programme, respectively, under the Marie Sk\u0142odowska-Curie grant agreements H2020-MSCA-COFUND-2016- 65 754433 and H2020-MSCA-IF-2017-789630. Martina Klose further acknowledges support through the Helmholtz Association\u2019s Initiative and Networking Fund (grant agreement n. VH-NG-1533). We acknowledge PRACE (eDUST, eFRAGMENT1, and eFRAGMENT2) and RES (AECT-2019-3-0001, AECT-2020-1-0007, AECT-2020-3-0013) for awarding access to MareNostrum at the BSC and for providing technical support.", "keywords": ["\u00c0rees tem\u00e0tiques de la UPC::Enginyeria mec\u00e0nica::Mec\u00e0nica de fluids", "info:eu-repo/classification/ddc/550", "Aerosol speciation", "550", "ddc:550", "Aerosol data assimilation", "Dust", "Aerosols atmosf\u00e8rics", "Atmospheric aerosols", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Enginyeria ambiental", "Earth sciences", "Aerosol regional reanalysis", "Pols -- Control", "13. Climate action", "2023 OA procedure", "Modis deep blue", "Dust control"]}, "links": [{"href": "https://link.springer.com/content/pdf/10.1007/978-3-031-12786-1"}, {"href": "https://link.springer.com/content/pdf/10.1007/978-3-031-12786-1_33"}, {"href": "https://doi.org/10.1007/978-3-031-12786-1_33"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/978-3-031-12786-1_33", "name": "item", "description": "10.1007/978-3-031-12786-1_33", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/978-3-031-12786-1_33"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "10.1007/s00216-019-01895-y", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:14:24Z", "type": "Journal Article", "created": "2019-06-10", "title": "Simultaneous determination of multiclass antibiotics and their metabolites in four types of field-grown vegetables", "description": "The developed method was evaluated for the determination of 10 antibiotics belonging to four chemical classes (fluoroquinolones, sulfonamides, lincosamides, and metoxybenzylpyrimidines) and six of their metabolites in four vegetable matrices (lettuce, tomato, cauliflower, and broad beans). The reported method detection limits were sufficiently low (0.1-5.8\u00a0ng/g dry weight) to detect target compounds in vegetables under real agricultural practices. Absolute and relative recovery values ranged from 40 to 118% and from 70 to 118%, respectively, for all targeted compounds at the spike level of 100\u00a0ng/g dry weight. Regarding method precision, the highest relative standard deviation (RSD) was obtained for enrofloxacin in lettuce (20%), while for the rest of the compounds in all matrices, the RSD values were below 20% for the same spike level. Matrix effects, due to electrospray ionization, ranged from -\u200926 to 29% for 85% of all estimated values. In a field study, four of the 10 targeted antibiotics were detected in tested vegetables. For the first time, antibiotic metabolites were quantified in vegetables grown under real field conditions. More specifically, decarboxyl ofloxacin and TMP304 were detected in tomato fruits (1.5\u00a0ng/g dry weight) and lettuce leaves (21.0-23.1\u00a0ng/g dry weight), respectively. It is important to remark that the concentration of TMP304 was five times higher than that from the parental compound, emphasizing the importance of metabolite analysis in monitoring studies. Therefore, the method provided a robust, reliable, and simple-to-use tool that could prove useful for routine multiclass analysis of antibiotics and their metabolites in vegetable samples. Graphical abstract.", "keywords": ["Crops", " Agricultural", "2. Zero hunger", "Spectrometry", " Mass", " Electrospray Ionization", "Agricultural Irrigation", "Solid Phase Extraction", "Reproducibility of Results", "LC-ESI-MS/MS", "01 natural sciences", "Anti-Bacterial Agents", "0104 chemical sciences", "3. Good health", "Antibiotics", "Limit of Detection", "Ultrasound-assisted extraction", "Vegetables", "Metabolites", "Chromatography", " Liquid", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Tadi\u0107, \u0110or\u0111e, Matamoros, V\u00edctor, Bayona, Josep M.,", "roles": ["creator"]}]}, "links": [{"href": "http://link.springer.com/content/pdf/10.1007/s00216-019-01895-y.pdf"}, {"href": "https://doi.org/10.1007/s00216-019-01895-y"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Analytical%20and%20Bioanalytical%20Chemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s00216-019-01895-y", "name": "item", "description": "10.1007/s00216-019-01895-y", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s00216-019-01895-y"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-06-10T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=ROS&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=ROS&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=ROS&", "hreflang": "en-US"}, {"rel": "next", "type": "application/geo+json", "title": "items (next)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=ROS&offset=50", "hreflang": "en-US"}], "numberMatched": 1333, "numberReturned": 50, "distributedFeatures": [], "timeStamp": "2026-04-04T14:22:56.962111Z"}