{"type": "FeatureCollection", "features": [{"id": "21.11116/0000-0009-5A8B-6", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:26:04Z", "type": "Journal Article", "created": "2021-08-28", "title": "Impacts of Drying and Rewetting on the Radiocarbon Signature of Respired CO2 and Implications for Incubating Archived Soils", "description": "Abstract

The radiocarbon signature of respired CO2 (\uffe2\uff88\uff8614C\uffe2\uff80\uff90CO2) measured in laboratory soil incubations integrates contributions from soil carbon pools with a wide range of ages, making it a powerful model constraint. Incubating archived soils enriched by \uffe2\uff80\uff9cbomb\uffe2\uff80\uff90C\uffe2\uff80\uff9d from mid\uffe2\uff80\uff9020th century nuclear weapons testing would be even more powerful as it would enable us to trace this pulse over time. However, air\uffe2\uff80\uff90drying and subsequent rewetting of archived soils, as well as storage duration, may alter the relative contribution to respiration from soil carbon pools with different cycling rates. We designed three experiments to assess air\uffe2\uff80\uff90drying and rewetting effects on \uffe2\uff88\uff8614C\uffe2\uff80\uff90CO2 with constant storage duration (Experiment 1), without storage (Experiment 2), and with variable storage duration (Experiment 3). We found that air\uffe2\uff80\uff90drying and rewetting led to small but significant (\uffce\uffb1\uffc2\uffa0<\uffc2\uffa00.05) shifts in \uffe2\uff88\uff8614C\uffe2\uff80\uff90CO2 relative to undried controls in all experiments, with grassland soils responding more strongly than forest soils. Storage duration (4\uffe2\uff80\uff9314\uffc2\uffa0y) did not have a substantial effect. Mean differences (95% CIs) for experiments 1, 2, and 3 were: 23.3\uffe2\uff80\uffb0 (\uffc2\uffb16.6), 19.6\uffe2\uff80\uffb0 (\uffc2\uffb110.3), and 29.3\uffe2\uff80\uffb0 (\uffc2\uffb129.1) for grassland soils, versus \uffe2\uff88\uff9211.6\uffe2\uff80\uffb0 (\uffc2\uffb14.1), 12.7\uffe2\uff80\uffb0 (\uffc2\uffb18.5), and \uffe2\uff88\uff9224.2\uffe2\uff80\uffb0 (\uffc2\uffb113.2) for forest soils. Our results indicate that air\uffe2\uff80\uff90drying and rewetting soils mobilizes a slightly older pool of carbon that would otherwise be inaccessible to microbes, an effect that persists throughout the incubation. However, as the bias in \uffe2\uff88\uff8614C\uffe2\uff80\uff90CO2 from air\uffe2\uff80\uff90drying and rewetting is small, measuring \uffe2\uff88\uff8614C\uffe2\uff80\uff90CO2 in incubations of archived soils appears to be a promising technique for constraining soil carbon models.Little is known about the sources and age of C respired by tree roots. Previous research in stems identified two functional pools of non\uffe2\uff80\uff90structural carbohydrates (NSC): an \uffe2\uff80\uff9cactive\uffe2\uff80\uff9d pool supplied directly from canopy photo\uffe2\uff80\uff90assimilates supporting metabolism and a \uffe2\uff80\uff9cstored\uffe2\uff80\uff9d pool used when fresh C supplies are limited. We compared the C isotope composition of water\uffe2\uff80\uff90soluble NSC and respired CO2for aspen roots (Populus tremulahybrids) cut off from fresh C supply after stem\uffe2\uff80\uff90girdling or prolonged incubation of excised roots. We used bomb radiocarbon to estimate the time elapsed since C fixation for respired CO2, water\uffe2\uff80\uff90soluble NSC and structural \uffce\uffb1\uffe2\uff80\uff90cellulose. While freshly excised roots (mostly <2.9\uffe2\uff80\uff89mm in diameter) respired CO2fixed <1\uffc2\uffa0year previously, the age increased to 1.6\uffe2\uff80\uff932.9\uffc2\uffa0year within a week after root excision. Freshly excised roots from trees girdled ~3\uffc2\uffa0months ago had respiration rates and NSC stocks similar to un\uffe2\uff80\uff90girdled trees but respired older C (~1.2\uffc2\uffa0year). We estimate that over 3\uffc2\uffa0months NSC in girdled roots must be replaced 5\uffe2\uff80\uff937 times by reserves remobilized from root\uffe2\uff80\uff90external sources. Using a mixing model and observed correlations between \uffce\uff9414C of water\uffe2\uff80\uff90soluble C and \uffce\uffb1\uffe2\uff80\uff90cellulose, we estimate ~30% of C is \uffe2\uff80\uff9cactive\uffe2\uff80\uff9d (~5\uffc2\uffa0mg C g\uffe2\uff88\uff921).Understanding the controls on the amount and persistence of soil organic carbon (C) is essential for predicting its sensitivity to global change. The response may depend on whether C is unprotected, isolated within aggregates, or protected from decomposition by mineral associations. Here, we present a global synthesis of the relative influence of environmental factors on soil organic C partitioning among pools, abundance in each pool (mg C g\uffe2\uff88\uff921\uffc2\uffa0soil), and persistence (as approximated by radiocarbon abundance) in relatively unprotected particulate and protected mineral\uffe2\uff80\uff90bound pools. We show that C within particulate and mineral\uffe2\uff80\uff90associated pools consistently differed from one another in degree of persistence and relationship to environmental factors. Soil depth was the best predictor of C abundance and persistence, though it accounted for more variance in persistence. Persistence of all C pools decreased with increasing mean annual temperature (MAT) throughout the soil profile, whereas persistence increased with increasing wetness index (MAP/PET) in subsurface soils (30\uffe2\uff80\uff93176\uffc2\uffa0cm). The relationship of C abundance (mg C g\uffe2\uff88\uff921\uffc2\uffa0soil) to climate varied among pools and with depth. Mineral\uffe2\uff80\uff90associated C in surface soils (<30\uffc2\uffa0cm) increased more strongly with increasing wetness index than the free particulate C, but both pools showed attenuated responses to the wetness index at depth. Overall, these relationships suggest a strong influence of climate on soil C properties, and a potential loss of soil C from protected pools in areas with decreasing wetness. Relative persistence and abundance of C pools varied significantly among land cover types and soil parent material lithologies. This variability in each pool's relationship to environmental factors suggests that not all soil organic C is equally vulnerable to global change. Therefore, projections of future soil organic C based on patterns and responses of bulk soil organic C may be misleading.

The French\u2013Italian Concordia Research Station, situated on the Antarctic Polar Plateau at an elevation of 3233 m above sea level, offers a unique opportunity to study the presence and variation of microbes introduced by abiotic or biotic vectors and, consequently, appraise the amplitude of human impact in such a pristine environment. This research built upon a previous work, which explored microbial diversity in the surface snow surrounding the Concordia Research Station. While that study successfully characterized the bacterial assemblage, detecting fungal diversity was hampered by the low DNA content. To address this knowledge gap, in the present study, we optimized the sampling by increasing ice/snow collected to leverage the final DNA yield. The V4 variable region of the 16S rDNA and Internal Transcribed Spacer (ITS1) rDNA was used to evaluate bacterial and fungal diversity. From the sequencing, we obtained 3,352,661 and 4,433,595 reads clustered in 930 and 3182 amplicon sequence variants (ASVs) for fungi and bacteria, respectively. Amplicon sequencing revealed a predominance of Basidiomycota (49%) and Ascomycota (42%) in the fungal component; Bacteroidota (65.8%) is the main representative among the bacterial phyla. Basidiomycetes are almost exclusively represented by yeast-like fungi. Our findings provide the first comprehensive overview of both fungal and bacterial diversity in the Antarctic Polar Plateau\u2019s surface snow/ice near Concordia Station and to identify seasonality as the main driver of microbial diversity; we also detected the most sensitive microorganisms to these factors, which could serve as indicators of human impact in this pristine environment and aid in planetary protection for future exploration missions.

", "keywords": ["amplicon sequencing", "QH301-705.5", "Settore BIO/01", "15. Life on land", "Article", "extraterrestrial analogue", "Antarctic Polar Plateau", "life detection", "13. Climate action", "info:eu-repo/classification/ddc/579", "fungi", "Biology (General)", "bacteria", "extremophiles"]}, "links": [{"href": "https://art.torvergata.it/bitstream/2108/338723/1/2023_Seasonality%20Is%20the%20Main%20Determinant%20of%20Microbial%20Diversity%20Associated%20to%20Snow%3aIce%20around%20Concordia%20Station%20on%20the%20Antarctic%20Polar%20Plateau.pdf"}, {"href": "https://doi.org/2108/338723"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2108/338723", "name": "item", "description": "2108/338723", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2108/338723"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-08-31T00:00:00Z"}}, {"id": "21.11116/0000-000A-C229-D", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:26:04Z", "type": "Journal Article", "created": "2022-07-19", "title": "Drought Legacy in Sub\u2010Seasonal Vegetation State and Sensitivity to Climate Over the Northern Hemisphere", "description": "Abstract

Droughts affect ecosystems at multiple time scales, but their sub\uffe2\uff80\uff90seasonal legacy effects on vegetation activity remain unclear. Combining the satellite\uffe2\uff80\uff90based enhanced vegetation index MODIS EVI with a novel location\uffe2\uff80\uff90specific definition of the growing season, we quantify drought impacts on sub\uffe2\uff80\uff90seasonal vegetation activity and the subsequent recovery in the Northern Hemisphere. Drought legacy effects are quantified as changes in post\uffe2\uff80\uff90drought greenness and sensitivity to climate. We find that greenness losses under severe drought are partially compensated by a \uffe2\uff88\uffbc+5% greening within 2\uffe2\uff80\uff936 growing\uffe2\uff80\uff90season months following the droughts, both in woody and herbaceous vegetation but at different timings. In addition, post\uffe2\uff80\uff90drought sensitivity of herbaceous vegetation to hydrological conditions increases noticeably at high latitudes compared with the local normal conditions, regardless of the choice of drought time scales. In general, the legacy effects on sensitivity are larger in herbaceous vegetation than in woody vegetation.Permafrost thaw will release additional carbon dioxide into the atmosphere resulting in a positive feedback to climate change. However, the mineralization dynamics of organic matter (OM) stored in permafrost-affected soils remain unclear. We used physical soil fractionation, radiocarbon measurements, incubation experiments, and a dynamic decomposition model to identify distinct vertical pattern in OM decomposability. The observed differences reflect the type of OM input to the subsoil, either by cryoturbation or otherwise, e.g. by advective water-borne transport of dissolved OM. In non-cryoturbated subsoil horizons, most OM is stabilized at mineral surfaces or by occlusion in aggregates. In contrast, pockets of OM-rich cryoturbated soil contain sufficient free particulate OM for microbial decomposition. After thaw, OM turnover is as fast as in the upper active layer. Since cryoturbated soils store ca. 450 Pg carbon, identifying differences in decomposability according to such translocation processes has large implications for the future global carbon cycle and climate, and directs further process model development.

Grasslands face more frequent and extreme droughts; yet, their responses to increasing drought intensity are poorly understood. Increasing drought intensity likely triggers abrupt shifts (thresholds) in grassland ecosystem functioning which can implicate recovery trajectories.

Here, we determined how drought intensity affects plant productivity, and plant\uffe2\uff80\uff93soil carbon (C) and nitrogen (N) cycling. We exposed model grassland plant communities with contrasting resource acquisition strategies (a fast\uffe2\uff80\uff90 vs a slow\uffe2\uff80\uff90strategy plant community), to a gradient of drought intensity. The drought gradient ranged from well\uffe2\uff80\uff90watered to severely water\uffe2\uff80\uff90limited conditions. We identified thresholds of plant community productivity (above\uffe2\uff80\uff90ground biomass) at peak drought and 2\uffe2\uff80\uff89months after re\uffe2\uff80\uff90wetting, and measured net ecosystem exchange and ecosystem respiration of C\uffc2\uffa0throughout the drought and recovery phases. At peak drought and 1\uffe2\uff80\uff89week after re\uffe2\uff80\uff90wetting, we traced recently acquired C from plants to the soil and into microbial biomass and fatty acids using 13C pulse labelling, and measured plant and soil N.

At peak drought, slow\uffe2\uff80\uff90strategy plant communities were more drought resistant than fast\uffe2\uff80\uff90strategy communities, as the threshold in plant productivity occurred at a higher drought intensity for the slow\uffe2\uff80\uff90 than the fast\uffe2\uff80\uff90strategy community. Shortly after re\uffe2\uff80\uff90wetting, microbial uptake of recent plant\uffe2\uff80\uff90assimilated C increased with increasing past drought intensity, coinciding with an increase in soil N availability and leaf N. Threshold responses to drought intensity at peak drought translated into non\uffe2\uff80\uff90linear recovery responses, with greater compensatory growth in the fast\uffe2\uff80\uff90strategy community. At peak drought, increasing drought intensity reduced C uptake and increased relative C partitioning to leaves and microbial biomass. Upon re\uffe2\uff80\uff90wetting, plant community strategy mediated drought intensity effects on plant and soil C and N dynamics and plant recovery trajectories. The fast\uffe2\uff80\uff90strategy community recovered quickly, with higher leaf N than the slow community, while the slow community increased C allocation to microbial biomass.

Synthesis. Our findings highlight that C and N dynamics in the plant\uffe2\uff80\uff93soil system display non\uffe2\uff80\uff90linear responses to increasing drought intensity both during and after drought, which has implications for plant community recovery trajectories.

The current focus on renewable energy in global policy highlights the importance of methane production from biomass through anaerobic digestion (AD). To improve biomass digestion while ensuring overall process stability, microbiome-based management strategies become more important. In this study, metagenomes and metaproteomes were used for metagenomically assembled genome (MAG)-centric analyses to investigate a full-scale biogas plant consisting of three differentially operated digesters. Microbial communities were analyzed regarding their taxonomic composition, functional potential, as well as functions expressed on the proteome level. Different abundances of genes and enzymes related to the biogas process could be mostly attributed to different process parameters. Individual MAGs exhibiting different abundances in the digesters were studied in detail, and their roles in the hydrolysis, acidogenesis and acetogenesis steps of anaerobic digestion could be assigned. Methanoculleus thermohydrogenotrophicum was an active hydrogenotrophic methanogen in all three digesters, whereas Methanothermobacter wolfeii was more prevalent at higher process temperatures. Further analysis focused on MAGs, which were abundant in all digesters, indicating their potential to ensure biogas process stability. The most prevalent MAG belonged to the class Limnochordia; this MAG was ubiquitous in all three digesters and exhibited activity in numerous pathways related to different steps of AD.

", "keywords": ["anaerobic digestion", "biogas process chain", "metagenome analyses", "13. Climate action", "QH301-705.5", "metagenomic binning", "biogas microbiome", "metaproteome analyses", "15. Life on land", "Biology (General)", "7. Clean energy", "Article", "660.6"]}, "links": [{"href": "https://www.mdpi.com/2076-2607/11/10/2412/pdf"}, {"href": "https://doi.org/21.11116/0000-000D-E197-A"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Microorganisms", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "21.11116/0000-000D-E197-A", "name": "item", "description": "21.11116/0000-000D-E197-A", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/21.11116/0000-000D-E197-A"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-09-27T00:00:00Z"}}, {"id": "21.11116/0000-000D-659B-3", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:26:04Z", "type": "Report", "created": "2023-02-20", "title": "Assessment of isoprene and near surface ozone sensitivities to water stress over the Euro-Mediterranean region", "description": "

Abstract. Plants emit biogenic volatile organic compounds (BVOCs) in response to changes in environmental conditions (e.g., temperature, radiation, soil moisture). In the large family of BVOCs, isoprene is by far the largest emitted compounds and plays an important role in ozone chemistry, thus affecting both climate and air quality. In turn, climate change may alter isoprene emissions by increasing the occurrence and intensity of severe water stresses that alter plant functioning. The Model of Emissions of Gases and Aerosols from Nature (MEGAN) provides different parameterizations to account for the impact of water stress on isoprene emissions, which essentially reduces emissions in response to the effect of soil moisture deficit on plant productivity. By applying the regional climate-chemistry model RegCM4chem coupled to the Community Land Model CLM4.5 and MEGAN2.1, we thus performed sensitivity simulations to assess the effects of water stress on isoprene emissions and near-surface ozone levels over the Euro-Mediterranean region and across the drier/wetter summers over the period 1992\u20132016 using two different parametrizations of the impact of water stress implemented in the MEGAN model. Over the Euro-Mediterranean region and across the simulated summers, water stress reduces isoprene emissions on average by nearly 6 %. However, during the warmest and driest selected summers (e.g., 2003, 2010, 2015) and over large isoprene-source area (e.g., the Balkans), decreases in isoprene emissions range from \u221220 to \u221260 % and co-occur with negative anomalies in precipitation, soil moisture and plant productivity. Sustained decreases in isoprene emissions also occur after prolonged or repeated dry anomalies, as observed for the summers of 2010 and 2012. Although the decrease in isoprene emissions due to water stress may be important, it only reduce near-surface ozone levels by few percents due to a dominant NOx-limited regime over southern Europe and the Mediterranean Basin. Overall, over the selected analysis region, compared to the old MEGAN parameterization, the new one leads to localized and 25\u201350 % smaller decreases in isoprene emissions, and 3\u20138 % smaller reduction in near-surface ozone levels.

", "keywords": ["13. Climate action", "11. Sustainability", "15. Life on land", "6. Clean water"]}, "links": [{"href": "https://doi.org/21.11116/0000-000D-659B-3"}, {"rel": "self", "type": "application/geo+json", "title": "21.11116/0000-000D-659B-3", "name": "item", "description": "21.11116/0000-000D-659B-3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/21.11116/0000-000D-659B-3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-02-20T00:00:00Z"}}, {"id": "21.11116/0000-000E-0EA2-C", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:26:04Z", "type": "Journal Article", "created": "2023-11-09", "title": "Carbon dynamics in long-term starving poplar trees\u2014the importance of older carbohydrates and a shift to lipids during survival", "description": "Abstract

Carbon (C) assimilation can be severely impaired during periods of environmental stress, like drought or defoliation, making trees heavily dependent on the use of C reserve pools for survival; yet, the dynamics of reserve use during periods of reduced C supply are still poorly understood. We used stem girdling in mature poplar trees (Populus tremula L. hybrids), a lipid-storing species, to permanently interrupt the phloem C transport and induced C shortage in the isolated stem section below the girdle and monitored metabolic activity during three campaigns in the growing seasons of 2018, 2019 and 2021. We measured respiratory fluxes (CO2 and O2), non-structural carbon concentration, the respiratory substrate (based on isotopic analysis and CO2/O2 ratio) and the age of the respiratory substrate (based on radiocarbon analysis). Our study shows that poplar trees can survive long periods of reduced C supply from the canopy by switching in metabolism from recent carbohydrates to older storage pools with a potential mixture of respiratory substrates, including lipids. This mechanism of stress resilience can explain why tree decline may take many years before death occurs.

Abstract. Atmospheric mineral dust has a rich tri-dimensional spatial and temporal structure that is poorly constrained in forecasts and analyses when only column-integrated aerosol optical depth (AOD) is assimilated. At present, this is the case of most operational global aerosol assimilation products. Aerosol vertical distributions obtained from spaceborne lidars can be assimilated in aerosol models, but questions about the extent of their benefit upon analyses and forecasts along with their consistency with AOD assimilation remain unresolved. Our study thoroughly explores the added value of assimilating spaceborne vertical dust profiles, with and without the joint assimilation of dust optical depth (DOD). We also discuss the consistency in the assimilation of both sources of information and analyse the role of the smaller footprint of the spaceborne lidar profiles in the results. To that end, we have performed data assimilation experiments using dedicated dust observations for a period of 2 months over northern Africa, the Middle East, and Europe. We assimilate DOD derived from the Visible Infrared Imaging Radiometer Suite (VIIRS) on board Suomi National Polar-Orbiting Partnership (SUOMI-NPP) Deep Blue and for the first time Cloud-Aerosol Lidar with Orthogonal Polarisation (CALIOP)-based LIdar climatology of Vertical Aerosol Structure for space-based lidar simulation studies (LIVAS) pure-dust extinction coefficient profiles on an aerosol model. The evaluation is performed against independent ground-based DOD derived from AErosol RObotic NETwork (AERONET) Sun photometers and ground-based lidar dust extinction profiles from the Cyprus Clouds Aerosol and Rain Experiment (CyCARE) and PREparatory: does dust TriboElectrification affect our ClimaTe (Pre-TECT) field campaigns. Jointly assimilating LIVAS and Deep Blue data reduces the root mean square error (RMSE) in the DOD by 39\u2009% and in the dust extinction coefficient by 65\u2009% compared to a control simulation that excludes assimilation. We show that the assimilation of dust extinction coefficient profiles provides a strong added value to the analyses and forecasts. When only Deep Blue data are assimilated, the RMSE in the DOD is reduced further, by 42\u2009%. However, when only LIVAS data are assimilated, the RMSE in the dust extinction coefficient decreases by 72\u2009%, the largest improvement across experiments. We also show that the assimilation of dust extinction profiles yields better skill scores than the assimilation of DOD under an equivalent sensor footprint. Our results demonstrate the strong potential of future lidar space missions to improve desert dust forecasts, particularly if they foresee a depolarization lidar channel to allow discrimination of desert dust from other aerosol types.

", "keywords": ["Mineral dusts", "info:eu-repo/classification/ddc/550", "550", "ddc:550", "9. Industry and infrastructure", "Physics", "QC1-999", "Optical radar", "Aerosols atmosf\u00e8rics", "Atmospheric aerosols", "Radar \u00f2ptic", "01 natural sciences", ":Enginyeria qu\u00edmica::Qu\u00edmica del medi ambient::Qu\u00edmica atmosf\u00e8rica [\u00c0rees tem\u00e0tiques de la UPC]", "Earth sciences", "Chemistry", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria de la telecomunicaci\u00f3::Radiocomunicaci\u00f3 i exploraci\u00f3 electromagn\u00e8tica::Teledetecci\u00f3", ":Enginyeria de la telecomunicaci\u00f3::Radiocomunicaci\u00f3 i exploraci\u00f3 electromagn\u00e8tica::Teledetecci\u00f3 [\u00c0rees tem\u00e0tiques de la UPC]", "13. Climate action", "Pols", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria qu\u00edmica::Qu\u00edmica del medi ambient::Qu\u00edmica atmosf\u00e8rica", "QD1-999", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://acp.copernicus.org/articles/22/535/2022/acp-22-535-2022.pdf"}, {"href": "https://doi.org/2117/360820"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2117/360820", "name": "item", "description": "2117/360820", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2117/360820"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-14T00:00:00Z"}}, {"id": "210e3f7e-bf7e-44f3-9c14-49d4c0068f0d", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[5.81, 47.26], [5.81, 54.76], [15.77, 54.76], [15.77, 47.26], [5.81, 47.26]]]}, "properties": {"themes": [{"concepts": [{"id": "environment"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "Phosphate fertilizers"}, {"id": "fertilizers"}, {"id": "farm inputs"}, {"id": "Phosphates"}, {"id": "Bones"}, {"id": "Laboratory experimentation"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Hydroxide"}, {"id": "Phosphorus"}, {"id": "Desorption"}, {"id": "opendata"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the BonaRes Module A-Project - InnoSoilPhos's research activities.\"\n\nAlthough every care has been taken in preparing and testing the data, the BonaRes Module A-Project - InnoSoilPhos and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - InnoSoilPhos and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project - InnoSoilPhos and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. If prior access is requested, contact the data owner / author.", "updated": "2020-07-29", "type": "Dataset", "created": "2020-03-06", "language": "eng", "title": "P desorption kinetics from Fe- and Al-hydroxides", "description": "The synthetic commercially hydroxides were goethite (99%, Alfa Aesar, Haverhill, Massachusetts, USA), and gibbsite (Merck Millipore, Merck KGaA, Darmstadt, Germany), which were of analytical grade. 2-line-ferrihydrite was prepared, at which a 1 M KOH was added to 500 ml of a 0.2 M Fe(NO3)3 \u2219 9 H2O-solution, until a pH of 7.5 was reached. The developed precipitate was centrifuged and washed for 5 min at 12134 x G, subsequently frozen, freeze-dried, and stored in a desiccator. The mixed Fe-Al-hydroxides were prepared by mixing 0.1 M Fe(NO3)3 \u2219 9 H2O and 0,1 M Al(NO3)3 \u2219 9 H2O were mixed in molar ratios of 1:0, 10:1, 5:1. 1:1, 1:5, 1:10 and 0:1, and brought to a pH of 6 with 5 M KOH. After equilibration for 1 h, the precipitate was centrifuged for 5 min at 12134 x G, washed with ultrapure water, dried at 60\u00b0C, and ground into a powder.\nThe elemental composition of the adsorbents was verified using SEM-EDX, scanning electron microscopy (DSM 962, Zeiss, Oberkochen, Germany) with energy dispersive X-ray spectroscopy (X-Max 50 mm\u00b2 with INCA, Oxford Instruments, Abingdon, Great Britain). The final resulting mineral phase of pure Al(OH)3 and FeO(OH) for the amorphous hydroxides was identified. Determination of the minerals crystallization as well as amorphous structures were verified by X-ray diffraction (XRD), using an Empyrean powder diffractometer (PANalytical, Almelo, Netherlands), with a theta-theta-goniometer, Cu-K\u03b1 radiation (\u03bb=0.15418 nm), automatic divergent and anti-scatter slits and a PIXcel3D detector. Diffraction data were recorded from 4.6\u00b0 to 84.9\u00b0 2\u03f4 with a step-size of 0.0131, a step time of 58.4 s, and generator settings of 40 kV and 40 mA.\nPrior to desorption, the hydroxides were coated on silica sand (particle size 0.2 \u2013 0.8 mm, Merck Millipore) to ensure a similar sample treatment (e.g. centrifugation times and revolutions). The silica sand used was finely granulated, washed, and calcined. 10 g of the hydroxide in a 0.01 M NaNO3-solution were adjusted to pH 6, resulting in a final volume of 100 ml. 100 g of pure silica sand was added to the suspension, and shaken for 24 h at room temperature. The supernatant was decanted and the material was washed three to five times with the 0.01 M NaNO3-solution at pH 6, and in a final step with ultrapure water to remove hydroxide traces and soluble salts. The coated silica sand was oven dried at 60\u00b0C for 48 h. The silica-hydroxide mixtures were preload with P. Therefore, 200 ml of a 2 mmol l-1 KH2PO4 solution and a 0.01 M CaCl2 background solution were added to the mixtures. After shaking horizontally for 24 h at 150 motions min-1, the hydroxides were centrifuged for 5 min at 929 x G. The supernatant was filtrated and the adsorbed P concentration determined\nDesorption experiments were conducted with CaCl2, CaSO4, humic acid, and citric acid, adjusted to pH 6. 2.5 g of the coated silica sand was treated with 50 ml of 0.01 M CaCl2 or 0.01 M CaSO4. 5 g of the coated silica sand was used for desorption with 50 ml of 2 g l-1 humic acid and citric acid (Alfa Aesar). A concentration of 2 g l-1 for both humic and citric acid was selected to provide a concentration similar to that of the CaCl2 and CaSO4. For desorption experiments, treatment solutions were added to the samples, shaken at 150 motions min-1, and centrifuged for 15 min at 2091 x g. After this, the supernatant was filtered for measurement of P. The time steps were 2, 6, 24, 48, 168, 336, 672, and 1344 h.\n\nResearch domain: \n\nResearch question: 207-03 Plant Nutrition\nWhich P bindings are formed on the various mineral Fe- and Al-hydroxide surfaces and how do inorganic and organic compounds contribute to the availability of both adsorbed/precipitated and naturally bound phosphorus from phosphate minerals?", "formats": [{"name": "CSV"}], "keywords": ["Soil", "Phosphate fertilizers", "fertilizers", "farm inputs", "Phosphates", "Bones", "Laboratory experimentation", "Hydroxide", "Phosphorus", "Desorption", "opendata", "Boden"], "contacts": [{"name": "Stella Gypser", "organization": "Brandenburgische Technische Universit\u00e4t Cottbus-Senftenberg", "position": "Researcher", "roles": ["author"], "phones": [{"value": "00 49 (0) 355 693318"}], "emails": [{"value": "stella.gypser@b-tu.de"}], "addresses": [{"deliveryPoint": ["Konrad-Wachsmann-Allee 6"], "city": "Cottbus", "administrativeArea": "Brandenburg", "postalCode": "03046", "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-4765-8067", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Stella Gypser", "organization": "Brandenburgische Technische Universit\u00e4t Cottbus-Senftenberg", "position": "Researcher", "roles": ["dataCollector"], "phones": [{"value": "00 49 (0) 355 693318"}], "emails": [{"value": "stella.gypser@b-tu.de"}], "addresses": [{"deliveryPoint": ["Konrad-Wachsmann-Allee 6"], "city": "Cottbus", "administrativeArea": "Brandenburg", "postalCode": "03046", "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-4765-8067", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Dirk Freese", "organization": "Brandenburgische Technische Universit\u00e4t Cottbus-Senftenberg", "position": "Researcher", "roles": ["workPackageLeader"], "phones": [{"value": "00 49 (0) 355 694238"}], "emails": [{"value": "dirk.freese@b-tu.de"}], "addresses": [{"deliveryPoint": ["Konrad-Wachsmann-Allee 6"], "city": "Cottbus", "administrativeArea": "Brandenburg", "postalCode": "03046", "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-9837-7441", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Leinweber, Peter", "organization": "University of Rostock", "position": "Professor", "roles": ["projectLeader"], "phones": [{"value": "+49 381 498 3120"}], "emails": [{"value": "peter.leinweber@uni-rostock.de"}], "addresses": [{"deliveryPoint": ["Justus-von-Liebig-Weg 6"], "city": "Rostock", "administrativeArea": "Mecklenburg-Vorpommern", "postalCode": "18051", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "Brandenburgische Technische Universit\u00e4t Cottbus-Senftenberg", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=210e3f7e-bf7e-44f3-9c14-49d4c0068f0d", "rel": "download"}, {"rel": "self", "type": "application/geo+json", "title": "210e3f7e-bf7e-44f3-9c14-49d4c0068f0d", "name": "item", "description": "210e3f7e-bf7e-44f3-9c14-49d4c0068f0d", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/210e3f7e-bf7e-44f3-9c14-49d4c0068f0d"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-07-29T00:00:00Z"}}, {"id": "21.11116/0000-000F-4521-E", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:26:04Z", "type": "Journal Article", "created": "2024-05-13", "title": "Convergence in simulating global soil organic carbon by structurally different models after data assimilation", "description": "Abstract

Current biogeochemical models produce carbon\uffe2\uff80\uff93climate feedback projections with large uncertainties, often attributed to their structural differences when simulating soil organic carbon (SOC) dynamics worldwide. However, choices of model parameter values that quantify the strength and represent properties of different soil carbon cycle processes could also contribute to model simulation uncertainties. Here, we demonstrate the critical role of using common observational data in reducing model uncertainty in estimates of global SOC storage. Two structurally different models featuring distinctive carbon pools, decomposition kinetics, and carbon transfer pathways simulate opposite global SOC distributions with their customary parameter values yet converge to similar results after being informed by the same global SOC database using a data assimilation approach. The converged spatial SOC simulations result from similar simulations in key model components such as carbon transfer efficiency, baseline decomposition rate, and environmental effects on carbon fluxes by these two models after data assimilation. Moreover, data assimilation results suggest equally effective simulations of SOC using models following either first\uffe2\uff80\uff90order or Michaelis\uffe2\uff80\uff93Menten kinetics at the global scale. Nevertheless, a wider range of data with high\uffe2\uff80\uff90quality control and assurance are needed to further constrain SOC dynamics simulations and reduce unconstrained parameters. New sets of data, such as microbial genomics\uffe2\uff80\uff90function relationships, may also suggest novel structures to account for in future model development. Overall, our results highlight the importance of observational data in informing model development and constraining model predictions.

Abstract. Soil moisture measurements are needed in a large number of applications such as climate change, watershed water balance and irrigation management. One of the main characteristics of this property is that soil moisture is highly variable with both space and time, hindering the estimation of a representative value. Deciding how to measure soil moisture before undertaking any type of study is therefore an important issue that needs to be addressed correctly. Nowadays, different kinds of methodologies exist for measuring soil moisture; Remote Sensing, soil moisture sensors or gravimetric measurements. This work is focused on how to measure soil moisture for irrigation scheduling, where soil moisture sensors are the main methodology for monitoring soil moisture. One of its disadvantages, however, is that soil moisture sensors measure a small volume of soil, and do not take into account the existing variability in the field. In contrast, Remote Sensing techniques are able to estimate soil moisture with a low spatial resolution, and thus it is not possible to apply these estimations to agricultural applications. In order to solve this problem, different kinds of algorithms have been developed for downscaling these estimations from low to high resolution. The DISPATCH algorithm downscales soil moisture estimations from 40\u2009km to 1\u2009km resolution using SMOS satellite soil moisture, NDVI and LST from MODIS sensor estimations. In this work, DISPATCH estimations are compared with soil moisture sensors and gravimetric measurements to validate the DISPATCH algorithm in two different hydrologic scenarios; (1) when wet conditions are maintained around the field for rainfall events, and (2) when it is local irrigation that maintains wet conditions. Results show that the DISPATCH algorithm is sensitive when soil moisture is homogenized during general rainfall events, but not when local irrigation generates occasional heterogeneity. In order to explain these different behaviours, we have examined the spatial variability scales of NDVI and LST data, which are the variables involved in the downscaling process provided by the MODIS sensor. Sample variograms show that the spatial scales associated with the NDVI and LST properties are too large to represent the variations of the average water content at the site, and this could be a reason for why the DISPATCH algorithm is unable to detect soil moisture increments caused by local irrigation.

", "keywords": ["2. Zero hunger", "Technology", ":Enginyeria civil::Geologia::Hidrologia [\u00c0rees tem\u00e0tiques de la UPC]", "T", "15. Life on land", "Environmental technology. Sanitary engineering", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria civil::Geologia::Hidrologia", "01 natural sciences", "6. Clean water", "S\u00f2ls -- Humitat -- Mesurament", "G", "Environmental sciences", "13. Climate action", "Geography. Anthropology. Recreation", "GE1-350", "Soil moisture--Measurement--Remote sensing", "TD1-1066", "0105 earth and related environmental sciences"], "contacts": [{"organization": "M. Fontanet, M. Fontanet, M. Fontanet, D. Fern\u00e0ndez-Garcia, D. Fern\u00e0ndez-Garcia, F. Ferrer,", "roles": ["creator"]}]}, "links": [{"href": "https://hess.copernicus.org/articles/22/5889/2018/hess-22-5889-2018.pdf"}, {"href": "https://doi.org/2117/127482"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2117/127482", "name": "item", "description": "2117/127482", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2117/127482"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-04-05T00:00:00Z"}}, {"id": "21.15107/rcub_dais_15782", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:26:05Z", "type": "Journal Article", "created": "2023-11-26", "title": "A Medieval Burial from the Site of Supska: An Anthropological and Contextual Analysis of the Skeletal Remains from Grave 1", "description": "In 1956, the Institute of Archaeology and the National Museum in Belgrade carried out excavations at the site of Supska, near \u0106uprija, in Central Serbia. Based on the material culture findings, the site is mostly known as a Late Neolithic one; however, archaeological findings from other periods were discovered too. In the 1956 excavations, the cultural layers, and archaeological features with the Vin\u010da culture archaeological materials were examined, as well as one grave, marked as Grave 1. The results of this excavation have been previously published in one monograph; however, an anthropological analysis of the individual found in Grave 1 has not been conducted before. In this paper, we present the results of contextual, bioanthropological, stable isotopes and C14 analyses of human skeletal remains found in Grave 1. The results showed that a young adult, who had experienced nonspecific metabolic stress during childhood, as evidenced by traces of linear enamel hypoplasia and porotic hyperostosis, was buried in this grave. AMS date revealed that this individual lived between 1280\u20131390 cal. AD, while the results of the stable isotope analyses suggested that it had mixed diet based on C4 plants (such as millet) and/or C3 plants, with larger amounts of animal protein, possible deriving from freshwater fish.", "keywords": ["Stable isotope analysis", "burial", "human skeletal remains", "stable isotopes", "Medieval period", "Medieval Burial", "Supska", "AMS dating", "14C AMS Dating"]}, "links": [{"href": "http://dais.sanu.ac.rs/bitstream/id/62730/bitstream_62730.pdf"}, {"href": "https://doi.org/21.15107/rcub_dais_15782"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/%D0%97%D0%B1%D0%BE%D1%80%D0%BD%D0%B8%D0%BA%20%D0%9D%D0%B0%D1%80%D0%BE%D0%B4%D0%BD%D0%BE%D0%B3%20%D0%BC%D1%83%D0%B7%D0%B5%D1%98%D0%B0%20%D0%A1%D1%80%D0%B1%D0%B8%D1%98%D0%B5.%20%D0%90%D1%80%D1%85%D0%B5%D0%BE%D0%BB%D0%BE%D0%B3%D0%B8%D1%98%D0%B0%20%3D%20Recueil%20du%20Mus%C3%A9e%20national%20de%20Serbie.%20Arch%C3%A9ologie", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "21.15107/rcub_dais_15782", "name": "item", "description": "21.15107/rcub_dais_15782", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/21.15107/rcub_dais_15782"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-01T00:00:00Z"}}, {"id": "21.15107/rcub_fiver_4555", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:26:05Z", "type": "Report", "title": "Spectral reflectance indices as a phenotyping tool for assessing morpho-physiological traits of winter wheat (Triticum aestivum L.)", "description": "Morpho-physiological traits of wheat such as a grain weight per plant, total leaf chlorophyll content, carotenoids, relative dry matter and nitrogen content are important traits for the growth of winter wheat genotypes. However, methods to estimate these traits are laborious and destructive. Spectral reflectance indices based on combination of visible and near-infrared wavelengths such as NDVI (Normalized Difference Vegetation Index), represent one of the most promising tools for application in field phenotyping with potential to provide complex information on different morpho-physiological traits of wheat. The aim of this study was to assess the utility of NDVI measurements of wheat canopy in identification of a specific growth stage in which remotely sensed data show the largest correlation with final grain yield, grain weight per plant, total leaf chlorophyll and carotenoid content, relative dry matter and nitrogen content in 29 winter wheat (Triticum aestivum L.) genotypes. The NDVI was measured using an active hand-held sensor GreenSeeker (NTech Industries Inc., Ukiah, California, USA) and hyperspectral camera (Ximea Corp., Lakewood, CO USA) at four growth stages of wheat: full flowering (BBCH 65), medium milk (BBCH 75), early dough (BBCH 83) and fully ripe stage (BBCH 89). Overall 66 different hyperspectral NDVIs were calculated from two-band combinations between red (600-700 nm) or far red (700-740 nm) and near-infrared (756-946 nm) regions. Pearson's correlation coefficient was used to explore the relationship among examined traits and NDVI measured at different growth stages of wheat. Obtained results indicate that most of observed NDVI indices showed negative correlation with the relative dry matter content at all observed growth stages. Significant positive correlations (higher than 0.6 and significant at P < 0.05) were found between the specific hyperspectral NDVis measured at medium milk stage and grain weight per plant, total leaf chlorophyll, carotenoid and nitrogen content, as well as with final grain yield of wheat. The strong positive relationship between NDVI and examined traits found at medium milk stage suggests that this stage is the most appropriate for estimation of these traits of winter wheat in semiarid or similar wheat growing conditions. The overall results indicate that spectral reflectance tools based on combined visible and near-infrared wavelengths, such as NDVI, could be successfully applied to assess morpho-physiological traits of a large number of winter wheat genotypes in a rapid and non-destructive manner. Furthermore, although neither device appeared to have a sizeable advantage over the other, NDVI acquired by hyperspectral camera does appear to be more indicative than NDVI acquired by GreenSeeker sensor, suggesting that alternative spectral combinations can be used in assessing targeted traits of winter wheat genotypes.", "keywords": ["2. Zero hunger", "spectral reflectance indices", "phenotyping", "wheat", "tools", "15. Life on land", "morpho-physiological traits"], "contacts": [{"organization": "Ljubi\u010di\u0107, Nata\u0161a, Marko, Oskar, Maksimovi\u0107, Ivana, Pani\u0107, Marko, Putnik-Deli\u0107, Marina, Kosti\u0107, Marko, Dani\u010di\u0107, Milena, Brdar, Sanja, Jevti\u0107, Radivoje, Crnojevi\u0107, Vladimir,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/21.15107/rcub_fiver_4555"}, {"rel": "self", "type": "application/geo+json", "title": "21.15107/rcub_fiver_4555", "name": "item", "description": "21.15107/rcub_fiver_4555", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/21.15107/rcub_fiver_4555"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-01-01T00:00:00Z"}}, {"id": "21.15107/rcub_fiver_3105", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:26:05Z", "type": "Report", "title": "The possibility of energy plants for phytoremediation of heavy metal contaminated sediment", "description": "Industrialization and human activities have resulted in the release of various contaminants into the aquatic ecosystem. As a result of the discharge of untreated wastewater, heavy metals are often present in the sediment. Phytoremediation is the environmentally friendly process of using plants and their associated microbes for environmental cleanup due to their intensive uptake of contaminants. To assess the phytoremediation ability of different species of energy plant, pot tests were conducted. The heavy metal contaminated sediment from Begej Canal was used. Pot experiments were performed in the open field under natural weather conditions, in pots filled with 20 kg of sediment. Plants selected for pot trials were rapeseed (Brassica napus), white mustard (Brassica alba), hemp (Cannabis sativa), and sunflower (Helianthus annuus). Pots with rapeseed were treated with commercial products for plant growth-promoting rhizobacteria, PGPR (TrifenderPro, PanoramaBio, and BioEho). Ten weeks after sowing, harvest was performed, and the below- and above-ground biomasses were measured. The contaminated sediment did not affect plant growth and obtained biomass. Among rape-seed trials, the highest biomass was obtained in the treatment with PGPR TrifenderPro. The plant samples were digested, and the content of Pb, Cr, and Cu was analyzed. Bioaccumulation (BAF) and translocation factors (TF) were calculated. In the case of Cr, the highest BAF was obtained for rapeseed with no treatment and with TrifenderPro treatment, and hemp. In the case of Cu the highest BAF was obtained for sunflower. TF was <1, which indicates that the main mechanism of metal removal is phytostabilization, not phytoextraction.", "keywords": ["phytoextraction", "sediment", "13. Climate action", "energy crops", "heavy metals", "6. Clean water"], "contacts": [{"organization": "Stojanov, Nade\u017eda, \u0110ukanovi\u0107, Nina, Zeremski-\u0160kori\u0107, Tijana, Maleti\u0107, Sne\u017eana, Marjanovi\u0107-Jeromela, Ana,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/21.15107/rcub_fiver_3105"}, {"rel": "self", "type": "application/geo+json", "title": "21.15107/rcub_fiver_3105", "name": "item", "description": "21.15107/rcub_fiver_3105", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/21.15107/rcub_fiver_3105"}, {"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": "21.15107/rcub_nardus_21364", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:26:05Z", "type": "Report", "title": "\u0423\u0442\u0438\u0446\u0430\u0458 \u043a\u0430\u0440\u0430\u043a\u0442\u0435\u0440\u0438\u0441\u0442\u0438\u043a\u0430 \u0441\u0442\u0430\u043d\u0438\u0448\u0442\u0430 \u0438 \u043f\u0440\u0435\u0434\u0435\u043b\u0430 \u043d\u0430 \u0434\u0438\u0432\u0435\u0440\u0437\u0438\u0442\u0435\u0442 \u043e\u0441\u043e\u043b\u0438\u043a\u0438\u0445 \u043c\u0443\u0432\u0430 (Diptera: Syrphidae) \u0443 \u0421\u0440\u0431\u0438\u0458\u0438", "description": "Open AccessLJudske aktivnosti menjaju karakteristike stani\u0161ta i predela koji predstavljaju preduslov za postojanje i odr\u017eavanje biolo\u0161kog diverziteta. Predmet istra\u017eivanja u okviru ove doktorske disertacije je uticaj karakteristika stani\u0161ta i predela na diverzitet osolikih muva na 27 istra\u017eivanih lokaliteta na teritoriji Srbije. Priloikom odre\u0111ivanja loklanih karakteristika stani\u0161ta podaci su dobijeni klasifikacijom ortomozaika pomo\u0107u bespilotne letelice kao i analizom uzoraka hemijskih i fizi\u010dkih svojstava zemlji\u0161ta na istra\u017eivanim lokalitetima. Definisani su, kvantifikovani i pore\u0111eni stepeni degradacije stani\u0161ta iz mapa dobijenih bespilotnom letelicom sa mapom potencijalne vegetacije i mapom zemlji\u0161nog pokriva\u010da. Pored toga, utvr\u0111en je gubitak vrsta na istra\u017eivanim lokalitetima odnosom recentnog i potencijalnog diverziteta osolikih muva u Srbiji. Uticaji definisanih karakteristika stani\u0161ta - lokalnih i predeonih analizirani su kroz \u010detiri modela regresije i klasifikacije: recentni diverzitet, gubitak recentnog diverziteta, prisustvo i gubitak za\u0161ti\u0107enih i strogo za\u0161ti\u0107enih vrsta. Lokaliteti na podru\u010dju Vojvodine i lokalitet Donje Vlase su najsiroma\u0161nija stani\u0161ta u pogledu raznovrsnosti faune osolikih muva zbog intenzivnih antropogenih aktivnosti kao \u0161to su poljoprivreda, intenzivna upotreba agrohemikalija i se\u010da \u0161uma, \u0161to dovodi do ireverzibilnih procesa daljeg gubitka vrsta. Nasuprot njima, lokaliteti Demizlok i Malinik sa najve\u0107im diverzitetom osolikih muva u Srbiji istovremeno se odlikuju najmanjim stepenom degradacije stani\u0161ta. Navedeni lokaliteti imaju potencijal da se priklju\u010de za\u0161ti\u0107enim podru\u010djima u cilju daljeg o\u010duvanja biodiverziteta. U tri od \u010detiri analizirana modela klasa \u0161uma, dobijena na razli\u010ditim skalama, je glavno obele\u017eje koje obja\u0161njava trend i rangiranost diverziteta osolikih muva na istra\u017eivanim lokalitetima. Potvr\u0111eno je da su izvorne bukove \u0161ume glavni centri raznovrsnosti vrsta koje zaslu\u017euju posebnu pa\u017enju u konzervacionom smislu. Rezultati ovog istra\u017eivanja ukazuju na va\u017enost klasifikacije lokalnih karakteristika stani\u0161ta pomo\u0107u bespilotne letelice i potvr\u0111uju uticaj na diverzitet osolikih muva i kao takve imaju potencijal da postanu alati za monitoring osolikih muva i drugih opra\u0161iva\u010da i model organizama na nacionalnom i evropskom nivou.", "keywords": ["human impact", "klasifikacija stani\u0161ta", "land use", "na\u010din kori\u0161\u0107enja zemlji\u0161ta", "syrphid flies", "\u043d\u0430\u0447\u0438\u043d \u043a\u043e\u0440\u0438\u0448\u045b\u0435\u045a\u0430 \u0437\u0435\u043c\u0459\u0438\u0448\u0442\u0430", "ortomozaik", "orthomosaic", "\u043a\u043b\u0430\u0441\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u0458\u0430 \u0441\u0442\u0430\u043d\u0438\u0448\u0442\u0430", "\u0431\u0435\u0441\u043f\u0438\u043b\u043e\u0442\u043da \u043b\u0435\u0442\u0435\u043b\u0438\u0446a", "habitat classification", "bespilotna letelica", "sirfide", "\u0447\u043e\u0432\u0435\u043a\u043e\u0432 \u0443\u0442\u0438\u0446\u0430\u0458", "unmanned aerial vehicle", "\u010dovekov uticaj", "\u043e\u0440\u0442\u043e\u043c\u043e\u0437\u0430\u0438\u043a", "\u0441\u0438\u0440\u0444\u0438\u0434\u0435"]}, "links": [{"href": "https://doi.org/21.15107/rcub_nardus_21364"}, {"rel": "self", "type": "application/geo+json", "title": "21.15107/rcub_nardus_21364", "name": "item", "description": "21.15107/rcub_nardus_21364", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/21.15107/rcub_nardus_21364"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-04-10T00:00:00Z"}}, {"id": "2104.10551", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:26:05Z", "type": "Journal Article", "created": "2021-12-15", "title": "Real-time detection of ochratoxin A in wine through insight of aptamer conformation in conjunction with graphene field-effect transistor", "description": "Mycotoxins comprise a frequent type of toxins present in food and feed. The problem of mycotoxin contamination has been recently aggravated due to the increased complexity of the farm-to-fork chains, resulting in negative effects on human and animal health and, consequently, economics. The easy-to-use, on-site, on-demand, and rapid monitoring of mycotoxins in food/feed is highly desired. In this work, we report on an advanced mycotoxin biosensor based on an array of graphene field-effect transistors integrated on a single silicon chip. A specifically designed aptamer against Ochratoxin A (OTA) was used as a recognition element, where it was covalently attached to graphene surface via pyrenebutanoic acid, succinimidyl ester (PBASE) chemistry. Namely, an electric field stimulation was used to promote more efficient \u03c0-\u03c0 stacking of PBASE to graphene. The specific G-rich aptamer strand suggest its \u03c0-\u03c0 stacking on graphene in free-standing regime and reconfiguration in G-quadruplex during binding an OTA molecule. This realistic behavior of the aptamer is sensitive to the ionic strength of the analyte solution, demonstrating a 10-fold increase in sensitivity at low ionic strengths. The graphene-aptamer sensors reported here demonstrate fast assay with the lowest detection limit of 1.4 pM for OTA within a response time as low as 10 s, which is more than 30 times faster compared to any other reported aptamer-based methods for mycotoxin detection. The sensors hold comparable performance when operated in real-time within a complex matrix of wine without additional time-consuming pre-treatment.", "keywords": ["Condensed Matter - Materials Science", "Condensed Matter - Mesoscale and Nanoscale Physics", "Materials Science (cond-mat.mtrl-sci)", "FOS: Physical sciences", "Wine", "Biosensing Techniques", "02 engineering and technology", "Aptamers", " Nucleotide", "Ochratoxins", "01 natural sciences", "0104 chemical sciences", "Limit of Detection", "Mesoscale and Nanoscale Physics (cond-mat.mes-hall)", "Animals", "Humans", "Graphite", "0210 nano-technology"]}, "links": [{"href": "https://doi.org/2104.10551"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biosensors%20and%20Bioelectronics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2104.10551", "name": "item", "description": "2104.10551", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2104.10551"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-03-01T00:00:00Z"}}, {"id": "2117/367719", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:26:06Z", "type": "Journal Article", "created": "2022-04-08", "title": "Multiphase processes in the EC-Earth model and their relevance to the atmospheric oxalate, sulfate, and iron cycles", "description": "

Abstract. Understanding how multiphase processes affect the iron-containing aerosol cycle is key to predicting ocean biogeochemistry changes and hence the feedback effects on climate. For this work, the EC-Earth Earth system model in its climate\u2013chemistry configuration is used to simulate the global atmospheric oxalate (OXL), sulfate (SO42-), and iron (Fe) cycles after incorporating a comprehensive representation of the multiphase chemistry in cloud droplets and aerosol water. The model considers a detailed gas-phase chemistry scheme, all major aerosol components, and the partitioning of gases in aerosol and atmospheric water phases. The dissolution of Fe-containing aerosols accounts kinetically for the solution's acidity, oxalic acid, and irradiation. Aerosol acidity is explicitly calculated in the model, both for accumulation and coarse modes, accounting for thermodynamic processes involving inorganic and crustal species from sea salt and dust. Simulations for present-day conditions (2000\u20132014) have been carried out with both EC-Earth and the atmospheric composition component of the model in standalone mode driven by meteorological fields from ECMWF's ERA-Interim reanalysis. The calculated global budgets are presented and the links between the (1) aqueous-phase processes, (2) aerosol dissolution, and (3) atmospheric composition are demonstrated and quantified. The model results are supported by comparison to available observations. We obtain an average global OXL net chemical production of 12.615\u2009\u00b1\u20090.064\u2009Tg\u2009yr\u22121 in EC-Earth, with glyoxal being by far the most important precursor of oxalic acid. In comparison to the ERA-Interim simulation, differences in atmospheric dynamics and the simulated weaker oxidizing capacity in EC-Earth overall result in a \u223c\u200930\u2009% lower OXL source. On the other hand, the more explicit representation of the aqueous-phase chemistry in EC-Earth compared to the previous versions of the model leads to an overall \u223c\u200920\u2009% higher sulfate production, but this is still well correlated with atmospheric observations. The total Fe dissolution rate in EC-Earth is calculated at 0.806\u2009\u00b1\u20090.014\u2009Tg\u2009yr\u22121 and is added to the primary dissolved Fe (DFe) sources from dust and combustion aerosols in the model (0.072\u2009\u00b1\u20090.001\u2009Tg\u2009yr\u22121). The simulated DFe concentrations show a satisfactory comparison with available observations, indicating an atmospheric burden of \u223c0.007\u2009Tg, resulting in an overall atmospheric deposition flux into the global ocean of 0.376\u2009\u00b1\u20090.005\u2009Tg\u2009yr\u22121, which is well within the range reported in the literature. All in all, this work is a first step towards the development of EC-Earth into an Earth system model with fully interactive bioavailable atmospheric Fe inputs to the marine biogeochemistry component of the model.

", "keywords": ["550", "Iron", "Atmospheric deposition", "Aerosols atmosf\u00e8rics", "01 natural sciences", "Biogeoqu\u00edmica", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Enginyeria ambiental", "Life Science", "Aqueous solution", "Oxalate", "Aerosol", "Reaction kinetics", "0105 earth and related environmental sciences", "QE1-996.5", "Acidity", "500", "Geology", "Dust", "Climate feedback", "Biogeochemistry", "15. Life on land", "Atmospheric aerosols", "Sulfate", ":Desenvolupament hum\u00e0 i sostenible::Enginyeria ambiental [\u00c0rees tem\u00e0tiques de la UPC]", "13. Climate action", "Sea salt", "Thermodynamics", "Irradiation", "Dissolution"]}, "links": [{"href": "https://gmd.copernicus.org/articles/15/3079/2022/gmd-15-3079-2022.pdf"}, {"href": "https://doi.org/2117/367719"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Model%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2117/367719", "name": "item", "description": "2117/367719", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2117/367719"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-08T00:00:00Z"}}, {"id": "2117/166448", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:26:05Z", "type": "Journal Article", "created": "2019-06-14", "title": "Monitoring the impact of desert dust outbreaks for air quality for health studies", "description": "We review the major features of desert dust outbreaks that are relevant to the assessment of dust impacts upon human health. Our ultimate goal is to provide scientific guidance for the acquisition of relevant population exposure information for epidemiological studies tackling the short and long term health effects of desert dust. We first describe the source regions and the typical levels of dust particles in regions close and far away from the source areas, along with their size, composition, and bio-aerosol load. We then describe the processes by which dust may become mixed with anthropogenic particulate matter (PM) and/or alter its load in receptor areas. Short term health effects are found during desert dust episodes in different regions of the world, but in a number of cases the results differ when it comes to associate the effects to the bulk PM, the desert dust-PM, or non-desert dust-PM. These differences are likely due to the different monitoring strategies applied in the epidemiological studies, and to the differences on atmospheric and emission (natural and anthropogenic) patterns of desert dust around the world. We finally propose methods to allow the discrimination of health effects by PM fraction during dust outbreaks, and a strategy to implement desert dust alert and monitoring systems for health studies and air quality management.", "keywords": ["Aerosols", "Air Movements", "Epidemiological studies", "Air Pollutants", "Pols mineral -- Tesis doctorals", "Epidemiology", ":Energies [\u00c0rees tem\u00e0tiques de la UPC]", "Atmospheric particulate matter", "Dust", "15. Life on land", "Mineral dust", "01 natural sciences", "Article", "3. Good health", "Environmental sciences", "13. Climate action", "\u00c0rees tem\u00e0tiques de la UPC::Energies", "Air Pollution", "11. Sustainability", "GE1-350", "Desert dust", "Dust control", "Environmental Monitoring", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/2117/166448"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environment%20International", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2117/166448", "name": "item", "description": "2117/166448", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2117/166448"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-09-01T00:00:00Z"}}, {"id": "2117/331155", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:26:05Z", "type": "Journal Article", "created": "2020-09-29", "title": "Meteorology-normalized impact of the COVID-19 lockdown upon NO2 pollution in Spain", "description": "

Abstract. The spread of the new coronavirus SARS-CoV-2 that causes COVID-19 forced the Spanish Government to implement extensive lockdown measures to reduce the number of hospital admissions, starting on 14\u00a0March\u00a02020. Over the following days and weeks, strong reductions in nitrogen dioxide (NO2) pollution were reported in many regions of Spain. A substantial part of these reductions was obviously due to decreased local and regional anthropogenic emissions. Yet, the confounding effect of meteorological variability hinders a reliable quantification of the lockdown's impact upon the observed pollution levels. Our study uses machine-learning (ML) models fed by meteorological data along with other time features to estimate the \u201cbusiness-as-usual\u201d NO2 mixing ratios that would have been observed in the absence of the lockdown. We then quantify the so-called meteorology-normalized NO2 reductions induced by the lockdown measures by comparing the estimated business-as-usual values with the observed NO2 mixing ratios. We applied this analysis for a selection of urban background and traffic stations covering the more than 50 Spanish provinces and islands. The ML predictive models were found to perform remarkably well in most locations, with an overall bias, root mean square error and correlation of +4\u2009%, 29\u2009% and 0.86, respectively. During the period of study, from the enforcement of the state of alarm in Spain on 14\u00a0March to 23\u00a0April, we found the lockdown measures to be responsible for a 50\u2009% reduction in NO2 levels on average over all provinces and islands. The lockdown in Spain has gone through several phases with different levels of severity with respect to mobility restrictions. As expected, the meteorology-normalized change in NO2 was found to be stronger during phase II (the most stringent phase) and phase III of the lockdown than during phase I. In the largest agglomerations, where both urban background and traffic stations were available, a stronger meteorology-normalized NO2 change is highlighted at traffic stations compared with urban background sites. Our results are consistent with foreseen (although still uncertain) changes in anthropogenic emissions induced by the lockdown. We also show the importance of taking the meteorological variability into account for accurately assessing the impact of the lockdown on NO2 levels, in particular at fine spatial and temporal scales. Meteorology-normalized estimates such as those presented here are crucial to reliably quantify the health implications of the lockdown due to reduced air pollution.

", "keywords": ["Physics", "QC1-999", "COVID-19", "Meteorology-normalized estimates", "01 natural sciences", "NO2 pollution", "3. Good health", "COVID-19 (Malaltia) -- Aspectes ambientals -- Espanya", "Chemistry", "COVID-19 (Disease)", "13. Climate action", "Contaminaci\u00f3", "Lockdown", "11. Sustainability", "pollution", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental::Contaminaci\u00f3 atmosf\u00e8rica", "Machine-learning models", "Confinament", "QD1-999", ":Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental::Contaminaci\u00f3 atmosf\u00e8rica [\u00c0rees tem\u00e0tiques de la UPC]", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/2117/331155"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2117/331155", "name": "item", "description": "2117/331155", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2117/331155"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-05-25T00:00:00Z"}}, {"id": "2117/342239", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:26:06Z", "type": "Journal Article", "created": "2021-03-17", "title": "Quantifying the range of the dust direct radiative effect due to source mineralogy uncertainty", "description": "

Abstract. The large uncertainty in the mineral dust direct radiative effect (DRE) hinders projections of future climate change due to anthropogenic activity. Resolving modeled dust mineral speciation allows for spatially and temporally varying refractive indices consistent with dust aerosol composition. Here, for the first time, we quantify the range in dust DRE at the top of the atmosphere (TOA) due to current uncertainties in the surface soil mineralogical content using a dust mineral-resolving climate model. We propagate observed uncertainties in soil mineral abundances from two soil mineralogy atlases along with the optical properties of each mineral into the DRE and compare the resultant range with other sources of uncertainty across six climate models. The shortwave DRE responds region-specifically to the dust burden depending on the mineral speciation and underlying shortwave surface albedo: positively when the regionally averaged annual surface albedo is larger than 0.28 and negatively otherwise. Among all minerals examined, the shortwave TOA DRE and single scattering albedo at the 0.44\u20130.63\u2009\u00b5m band are most sensitive to the fractional contribution of iron oxides to the total dust composition. The global net (shortwave plus longwave) TOA DRE is estimated to be within \u22120.23 to +0.35\u2009W\u2009m\u22122. Approximately 97\u2009% of this range relates to uncertainty in the soil abundance of iron oxides. Representing iron oxide with solely hematite optical properties leads to an overestimation of shortwave DRE by +0.10\u2009W\u2009m\u22122 at the TOA, as goethite is not as absorbing as hematite in the shortwave spectrum range. Our study highlights the importance of iron oxides to the shortwave DRE: they have a disproportionally large impact on climate considering their small atmospheric mineral mass fractional burden (\u223c2\u2009%). An improved description of iron oxides, such as those planned in the Earth Surface Mineral Dust Source Investigation (EMIT), is thus essential for more accurate estimates of the dust DRE.

", "keywords": ["Mineral dusts", "Atmospheric sciences", "550", "QC1-999", "Iron oxides", "01 natural sciences", "Atmospheric Sciences", ":Enginyeria qu\u00edmica::Qu\u00edmica del medi ambient::Qu\u00edmica atmosf\u00e8rica [\u00c0rees tem\u00e0tiques de la UPC]", "[SDU] Sciences of the Universe [physics]", "\u00d2xids de ferro", "Pols", "Meteorology & Atmospheric Sciences", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria qu\u00edmica::Qu\u00edmica del medi ambient::Qu\u00edmica atmosf\u00e8rica", "QD1-999", "0105 earth and related environmental sciences", "info:eu-repo/classification/ddc/550", "Climate change science", "ddc:550", "Physics", "Climatic changes", "15. Life on land", "Climate Action", "Earth sciences", "Chemistry", "[SDU]Sciences of the Universe [physics]", "13. Climate action", "Earth Sciences", "Astronomical and Space Sciences", "Canvis clim\u00e0tics"]}, "links": [{"href": "https://acp.copernicus.org/articles/21/3973/2021/acp-21-3973-2021.pdf"}, {"href": "https://escholarship.org/content/qt27c9p2v2/qt27c9p2v2.pdf"}, {"href": "https://doi.org/2117/342239"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2117/342239", "name": "item", "description": "2117/342239", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2117/342239"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-09-15T00:00:00Z"}}, {"id": "2117/345158", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:26:06Z", "type": "Journal Article", "created": "2020-06-22", "title": "ModIs Dust AeroSol (MIDAS): A global fine resolution dust optical depth dataset", "description": "

Abstract. Monitoring and describing the spatiotemporal variability of dust aerosols is crucial to understand their multiple effects, related feedbacks and impacts within the Earth system. This study describes the development of the MIDAS (ModIs Dust AeroSol) dataset. MIDAS provides columnar daily dust optical depth (DOD at 550\u2009nm) at global scale and fine spatial resolution (0.1\u00b0\u2009\u00d7\u20090.1\u00b0) over a decade (2007\u20132016). This new dataset combines quality filtered satellite aerosol optical depth (AOD) retrievals from MODIS-Aqua at swath level (Collection 6, Level 2), along with DOD-to-AOD ratios provided by MERRA-2 reanalysis to derive DOD on the MODIS native grid. The uncertainties of MODIS AOD and MERRA-2 dust fraction with respect to AERONET and CALIOP, respectively, are taken into account for the estimation of the total DOD uncertainty (including measurement and sampling uncertainties). MERRA-2 dust fractions are in very good agreement with CALIOP column-integrated dust fractions across the dust belt, in the Tropical Atlantic Ocean and the Arabian Sea; the agreement degrades in North America and the Southern Hemisphere where dust sources are smaller. MIDAS, MERRA-2 and CALIOP DODs strongly agree when it comes to annual and seasonal spatial patterns; however, deviations of dust loads' intensity are evident and regionally dependent. Overall, MIDAS is well correlated with ground-truth AERONET-derived DODs (R\u2009=\u20090.882), only showing a small negative bias (\u22120.009 or \u22125.307\u2009%). Among the major dust areas of the planet, the highest R values (up to 0.977) are found at sites of N. Africa, Middle East and Asia. MIDAS expands, complements and upgrades existing observational capabilities of dust aerosols and it is suitable for dust climatological studies, model evaluation and data assimilation.

", "keywords": ["Dust forecast", ":Enginyeria agroaliment\u00e0ria::Ci\u00e8ncies de la terra i de la vida::Climatologia i meteorologia [\u00c0rees tem\u00e0tiques de la UPC]", "Dust particles", "TA715-787", "Environmental engineering", "TA170-171", "Tropospheric aerosols", "Satellite aerosol optical depth", "16. Peace & justice", "ModIs Dust AeroSol (MIDAS)", "01 natural sciences", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria agroaliment\u00e0ria::Ci\u00e8ncies de la terra i de la vida::Climatologia i meteorologia", "Earthwork. Foundations", "Conjunts de dades", "13. Climate action", "Stratospheric aerosols", "Dust aerosols", "Data sets", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://amt.copernicus.org/articles/14/309/2021/amt-14-309-2021.pdf"}, {"href": "https://amt.copernicus.org/articles/14/309/2021/amt-14-309-2021-supplement.pdf"}, {"href": "https://doi.org/2117/345158"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Measurement%20Techniques", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2117/345158", "name": "item", "description": "2117/345158", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2117/345158"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-06-22T00:00:00Z"}}, {"id": "2117/354852", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:26:06Z", "type": "Journal Article", "created": "2021-10-25", "title": "Mineral dust cycle in the Multiscale Online Nonhydrostatic AtmospheRe CHemistry model (MONARCH) Version 2.0", "description": "

Abstract. We present the dust module in the Multiscale Online Non-hydrostatic AtmospheRe CHemistry model (MONARCH) version 2.0, a chemical weather prediction system that can be used for regional and global modeling at a range of resolutions. The representations of dust processes in MONARCH were upgraded with a focus on dust emission (emission parameterizations, entrainment thresholds, considerations of soil moisture and surface cover), lower boundary conditions (roughness, potential dust sources), and dust\u2013radiation interactions. MONARCH now allows modeling of global and regional mineral dust cycles using fundamentally different paradigms, ranging from strongly simplified to physics-based parameterizations. We present a detailed description of these updates along with four global benchmark simulations, which use conceptually different dust emission parameterizations, and we evaluate the simulations against observations of dust optical depth. We determine key dust parameters, such as global annual emission/deposition flux, dust loading, dust optical depth, mass-extinction efficiency, single-scattering albedo, and direct radiative effects. For dust-particle diameters up to 20\u2009\u00b5m, the total annual dust emission and deposition fluxes obtained with our four experiments range between about 3500 and 6000\u2009Tg, which largely depend upon differences in the emitted size distribution. Considering ellipsoidal particle shapes and dust refractive indices that account for size-resolved mineralogy, we estimate the global total (longwave and shortwave) dust direct radiative effect (DRE) at the surface to range between about \u22120.90 and \u22120.63\u2009W\u2009m\u22122 and at the top of the atmosphere between \u22120.20 and \u22120.28\u2009W\u2009m\u22122. Our evaluation demonstrates that MONARCH is able to reproduce key features of the spatiotemporal variability of the global dust cycle with important and insightful differences between the different configurations.

", "keywords": ["Mineral dusts", "Previsi\u00f3 del temps", "QE1-996.5", "info:eu-repo/classification/ddc/550", "550", "ddc:550", "Geology", "15. Life on land", "01 natural sciences", ":Enginyeria qu\u00edmica::Qu\u00edmica del medi ambient::Qu\u00edmica atmosf\u00e8rica [\u00c0rees tem\u00e0tiques de la UPC]", "Weather forecasting", "Climate Action", "[SDU] Sciences of the Universe [physics]", "Earth sciences", "[SDU]Sciences of the Universe [physics]", "13. Climate action", "Earth Sciences", "Pols", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria qu\u00edmica::Qu\u00edmica del medi ambient::Qu\u00edmica atmosf\u00e8rica", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://gmd.copernicus.org/articles/14/6403/2021/gmd-14-6403-2021.pdf"}, {"href": "https://escholarship.org/content/qt2r39x8b5/qt2r39x8b5.pdf"}, {"href": "https://doi.org/2117/354852"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Model%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2117/354852", "name": "item", "description": "2117/354852", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2117/354852"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-04-01T00:00:00Z"}}, {"id": "2117/190258", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:26:05Z", "type": "Report", "title": "Influence of mechanical yielding on predictions of saturation: the saturation line", "description": "It is now well accepted that the mechanical and the water retention behaviour of a soil under unsaturated conditions are coupled and, that such coupling, should be incorporated into a constitutive model for a realistic representation of soil\u2019s response. In existing models, the influence of the mechanical behaviour on the water retention is often represented by a shift of the main wetting retention curve to higher values of matric suction (the difference between pore air and pore water pressures) when the specific volume decreases. This means that any variation of total volumetric strains of compression (whether these are elastic or elasto-plastic) will result in a shift of the main wetting and drying curves to the right, when these curves are represented in the water retention plane. This shift of the main water retention curves, however, should not only influence the unsaturated stress states as often described in the literature, it should also have some impact on the saturated stress states and, more specifically, on the predictions of de-saturation (air-entry point) and saturation (airexclusion point). From a modelling point of view, it is advantageous to represent this influence through the plastic component of volumetric strain of compression only because, in this way, a consistent representation of the mechanical behaviour for both unsaturated and saturated states can be naturally achieved. This and other advantages resulting from this singular approach are demonstrated in the paper in the context of the Glasgow Coupled Model (GCM).", "keywords": ["Finite element method", "\u00c0rees tem\u00e0tiques de la UPC::Matem\u00e0tiques i estad\u00edstica::An\u00e0lisi num\u00e8rica::M\u00e8todes en elements finits", "Elements finits", " M\u00e8tode dels", "unsaturated soils", " saturated soils", " mechanical behaviour", " water retention", " suction", " saturation", " de-saturation", " retention hysteresis", "Coupled problems (Complex systems) -- Numerical solutions", ":Matem\u00e0tiques i estad\u00edstica::An\u00e0lisi num\u00e8rica::M\u00e8todes en elements finits [\u00c0rees tem\u00e0tiques de la UPC]"], "contacts": [{"organization": "Lloret-Cabot, Marti, Wheeler, Simon J.,", "roles": ["creator"]}]}, "links": [{"href": "https://eprints.gla.ac.uk/150065/1/150065.pdf"}, {"href": "https://doi.org/2117/190258"}, {"rel": "self", "type": "application/geo+json", "title": "2117/190258", "name": "item", "description": "2117/190258", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2117/190258"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-01-01T00:00:00Z"}}, {"id": "2117/339455", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:26:06Z", "type": "Journal Article", "created": "2021-01-20", "title": "Time-resolved emission reductions for atmospheric chemistry modelling in Europe during the COVID-19 lockdowns", "description": "

Abstract. We quantify the reductions in primary emissions due to the COVID-19 lockdowns in Europe. Our estimates are provided in the form of a dataset of reduction factors varying per country and day that will allow the modelling and identification of the associated impacts upon air quality. The country- and daily-resolved reduction factors are provided for each of the following source categories: energy industry (power plants), manufacturing industry, road traffic and aviation (landing and take-off cycle). We computed the reduction factors based on open-access and near-real-time measured activity data from a wide range of information sources. We also trained a machine learning model with meteorological data to derive weather-normalized electricity consumption reductions. The time period covered is from 21\u00a0February, when the first European localized lockdown was implemented in the region of Lombardy (Italy), until 26\u00a0April 2020. This period includes 5\u00a0weeks (23\u00a0March until 26\u00a0April) with the most severe and relatively unchanged restrictions upon mobility and socio-economic activities across Europe. The computed reduction factors were combined with the Copernicus Atmosphere Monitoring Service's European emission inventory using adjusted temporal emission profiles in order to derive time-resolved emission reductions per country and pollutant sector. During the most severe lockdown period, we estimate the average emission reductions to be \u221233\u2009% for NOx, \u22128\u2009% for non-methane volatile organic compounds (NMVOCs), \u22127\u2009% for SOx and \u22127\u2009% for PM2.5 at the EU-30 level (EU-28 plus Norway and Switzerland). For all pollutants more than 85\u2009% of the total reduction is attributable to road transport, except SOx. The reductions reached \u221250\u2009% (NOx), \u221214\u2009% (NMVOCs), \u221212\u2009% (SOx) and \u221215\u2009% (PM2.5) in countries where the lockdown restrictions were more severe such as Italy, France or Spain. To show the potential for air quality modelling, we simulated and evaluated NO2 concentration decreases in rural and urban background regions across Europe (Italy, Spain, France, Germany, United-Kingdom and Sweden). We found the lockdown measures to be responsible for NO2 reductions of up to \u221258\u2009% at urban background locations (Madrid, Spain) and \u221244\u2009% at rural background areas (France), with an average contribution of the traffic sector to total reductions of 86\u2009% and 93\u2009%, respectively. A clear improvement of the modelled results was found when considering the emission reduction factors, especially in Madrid, Paris and London where the bias is reduced by more than 90\u2009%. Future updates will include the extension of the COVID-19 lockdown period covered, the addition of other pollutant sectors potentially affected by the restrictions (commercial and residential combustion and shipping) and the evaluation of other air quality pollutants such as O3 and PM2.5. All the emission reduction factors are provided in the Supplement.

", "keywords": ["Atmospheric chemistry", "330", "550", "QC1-999", "Lockdowns", "Air pollution", "Urbanisation", "Environment", "COVID-19 (Malaltia)", "01 natural sciences", "7. Clean energy", "COVID-19 (Malaltia) -- Aspectes ambientals", "COVID-19 (Disease)", "11. Sustainability", "QD1-999", "0105 earth and related environmental sciences", "Physics", "Atmospheric emissions", "COVID-19", "Atmospheric chemistry modelling", "3. Good health", "Chemistry", "13. Climate action", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental::Contaminaci\u00f3 atmosf\u00e8rica", "Confinament", "Europa", ":Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental::Contaminaci\u00f3 atmosf\u00e8rica [\u00c0rees tem\u00e0tiques de la UPC]"]}, "links": [{"href": "https://acp.copernicus.org/articles/21/773/2021/acp-21-773-2021.pdf"}, {"href": "https://doi.org/2117/339455"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2117/339455", "name": "item", "description": "2117/339455", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2117/339455"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-07-22T00:00:00Z"}}, {"id": "2117/342462", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:26:06Z", "type": "Journal Article", "created": "2021-02-13", "title": "Copernicus Atmosphere Monitoring Service TEMPOral profiles (CAMS-TEMPO): global and European emission temporal profile maps for atmospheric chemistry modelling", "description": "

Abstract. We present the Copernicus Atmosphere Monitoring Service TEMPOral profiles (CAMS-TEMPO), a dataset of global and European emission temporal profiles that provides gridded monthly, daily, weekly and hourly weight factors for atmospheric chemistry modelling. CAMS-TEMPO includes temporal profiles for the priority air pollutants (NOx; SOx; NMVOC, non-methane volatile organic compound; NH3; CO; PM10; and PM2.5) and the greenhouse gases (CO2 and CH4) for each of the following anthropogenic source categories: energy industry (power plants), residential combustion, manufacturing industry, transport (road traffic and air traffic in airports) and agricultural activities (fertilizer use and livestock). The profiles are computed on a global 0.1\u2009\u00d7\u20090.1\u2218 and regional European 0.1\u2009\u00d7\u20090.05\u2218 grid following the domain and sector classification descriptions of the global and regional emission inventories developed under the CAMS programme. The profiles account for the variability of the main emission drivers of each sector. Statistical information linked to emission variability (e.g. electricity production and traffic counts) at national and local levels were collected and combined with existing meteorology-dependent parametrizations to account for the influences of sociodemographic factors and climatological conditions. Depending on the sector and the temporal resolution (i.e. monthly, weekly, daily and hourly) the resulting profiles are pollutant-dependent, year-dependent (i.e. time series from 2010 to 2017) and/or spatially dependent (i.e. the temporal weights vary per country or region). We provide a complete description of the data and methods used to build the CAMS-TEMPO profiles, and whenever possible, we evaluate the representativeness of the proxies used to compute the temporal weights against existing observational data. We find important discrepancies when comparing the obtained temporal weights with other currently used datasets. The CAMS-TEMPO data product including the global (CAMS-GLOB-TEMPOv2.1, https://doi.org/10.24380/ks45-9147, Guevara et al., 2020a) and regional European (CAMS-REG-TEMPOv2.1, https://doi.org/10.24380/1cx4-zy68, Guevara et al., 2020b) temporal profiles are distributed from the Emissions of atmospheric Compounds and Compilation of Ancillary Data (ECCAD) system (https://eccad.aeris-data.fr/, last access: February 2021).

", "keywords": ["China", "Atmospheric chemistry", "550", "Anthropogenic emissions", "Ammonia emissions", "Urbanisation", "Environment", "7. Clean energy", "[SDU] Sciences of the Universe [physics]", "11. Sustainability", "Air-pollution", "GE1-350", "Gridded emissions", "Fuel use", "QE1-996.5", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "Inventory", "Geology", "Environmental sciences", "Data product", "Qu\u00edmica atmosf\u00e8rica", "13. Climate action", "Air quality", "Transport model", "Data sets", "Bottom-up", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental::Contaminaci\u00f3 atmosf\u00e8rica", ":Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental::Contaminaci\u00f3 atmosf\u00e8rica [\u00c0rees tem\u00e0tiques de la UPC]", "Air pollutants"]}, "links": [{"href": "https://essd.copernicus.org/articles/13/367/2021/essd-13-367-2021.pdf"}, {"href": "https://doi.org/2117/342462"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Earth%20System%20Science%20Data", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2117/342462", "name": "item", "description": "2117/342462", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2117/342462"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-02-12T00:00:00Z"}}, {"id": "2117/345717", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:26:06Z", "type": "Journal Article", "created": "2021-05-17", "title": "Estimating lockdown-induced European NO2 changes using satellite and surface observations and air quality models", "description": "

Abstract. This study provides a comprehensive assessment of NO2 changes across the main European urban areas induced by COVID-19 lockdowns using satellite retrievals from the Tropospheric Monitoring Instrument (TROPOMI) onboard the Sentinel-5p satellite, surface site measurements, and simulations from the Copernicus Atmosphere Monitoring Service (CAMS) regional ensemble of air quality models. Some recent TROPOMI-based estimates of changes in atmospheric NO2 concentrations have neglected the influence of weather variability between the reference and lockdown periods. Here we provide weather-normalized estimates based on a machine learning method (gradient boosting) along with an assessment of the biases that can be expected from methods that omit the influence of weather. We also compare the weather-normalized satellite-estimated NO2 column changes with weather-normalized surface NO2 concentration changes and the CAMS regional ensemble, composed of 11 models, using recently published estimates of emission reductions induced by the lockdown. All estimates show similar NO2 reductions. Locations where the lockdown measures were stricter show stronger reductions, and, conversely, locations where softer measures were implemented show milder reductions in NO2 pollution levels. Average reduction estimates based on either satellite observations (\u221223\u2009%), surface stations (\u221243\u2009%), or models (\u221232\u2009%) are presented, showing the importance of vertical sampling but also the horizontal representativeness. Surface station estimates are significantly changed when sampled to the TROPOMI overpasses (\u221237\u2009%), pointing out the importance of the variability in time of such estimates. Observation-based machine learning estimates show a stronger temporal variability than model-based estimates.

", "keywords": ["[SDE] Environmental Sciences", "550", "QC1-999", "551", "COVID-19 (Malaltia)", "01 natural sciences", "COVID-19 (Malaltia) -- Aspectes ambientals", "COVID-19 (Disease)", "Lockdown", "11. Sustainability", "Satellite images", "QD1-999", "0105 earth and related environmental sciences", "info:eu-repo/classification/ddc/550", "Air quality models", "Physics", "Aire -- Qualitat", "COVID-19", "Surface observations", "Satellite observations", "Chemistry", "Meteorology and Atmospheric Sciences", "13. Climate action", "[SDE]Environmental Sciences", "Air quality", "Meteorologi och atmosf\u00e4rsvetenskap", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental::Contaminaci\u00f3 atmosf\u00e8rica", ":Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental::Contaminaci\u00f3 atmosf\u00e8rica [\u00c0rees tem\u00e0tiques de la UPC]"]}, "links": [{"href": "https://doi.org/2117/345717"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2117/345717", "name": "item", "description": "2117/345717", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2117/345717"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-05-17T00:00:00Z"}}, {"id": "2117/364753", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:26:06Z", "type": "Journal Article", "created": "2021-12-20", "title": "Compliance with 2021 WHO air quality guidelines across Europe will require radical measures", "description": "Peer Reviewed", "keywords": ["330", "Science", "QC1-999", "air pollution", "Air pollution", "Pand\u00e8mia de COVID-19", "610", "air quality legislation", "environmental health", "Environmental technology. Sanitary engineering", "01 natural sciences", "11. Sustainability", "GE1-350", "Environmental sustainability", "environmental sustainability", "TD1-1066", "0105 earth and related environmental sciences", "Pand\u00e8mia de COVID-19", " 2020", "Physics", "Q", "2020", "air quality", "6. Clean water", "3. Good health", "Environmental sciences", "Environmental health", "13. Climate action", "Air quality", "Air quality legislation", "Air pollution.", "Aire--Qualitat", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental::Contaminaci\u00f3 atmosf\u00e8rica", ":Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental::Contaminaci\u00f3 atmosf\u00e8rica [\u00c0rees tem\u00e0tiques de la UPC]"]}, "links": [{"href": "https://doi.org/2117/364753"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Research%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2117/364753", "name": "item", "description": "2117/364753", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2117/364753"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-21T00:00:00Z"}}, {"id": "2117/371172", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:26:06Z", "type": "Journal Article", "created": "2022-01-25", "title": "European primary emissions of criteria pollutants and greenhouse gases in 2020 modulated by the COVID-19 pandemic disruptions", "description": "

Abstract. We present a European dataset of daily-, sector-, pollutant- and country-dependent emission adjustment factors associated to the COVID-19 mobility restrictions for the year 2020. The resulting dataset covers a total of nine emission sectors, including road transport, energy industry, manufacturing industry, residential and commercial combustion, aviation, shipping, off-road transport, use of solvents, and fugitive emissions from transportation and distribution of fossil fuels. The dataset was produced to be combined with the Copernicus CAMS-REG_v5.1 2020 business-as-usual (BAU) inventory, which provides high resolution (0.1 \u00d7 0.05 deg.) emission estimates for 2020 omitting the impact of the COVID-19 restrictions. The combination of both datasets allows quantifying spatially- and temporally-resolved reductions in primary emissions from both criteria pollutants (NOx, SO2, NMVOC, NH3, CO, PM10 and PM2.5) and greenhouse gases (CO2 fossil fuel, CO2 biofuel and CH4), as well as assessing the contribution of each emission sector and European country to the overall emission changes. Estimated overall emission changes in 2020 relative to BAU emissions were as follows: \u221210.5 % for NOx (\u2212602 kt), \u22127.8 % (\u2212260.2 Mt) for CO2 from fossil fuels, \u22124.7 % (\u2212808.5 kt) for CO, \u22124.6 % (\u221280 kt) for SO2, \u22123.3 % (\u221219.1 Mt) for CO2 from biofuels, \u22123.0 % (\u221256.3 kt) for PM10, \u22122.5 % (\u2212173.3 kt) for NMVOC, \u22122.1 % (\u221224.3 kt) for PM2.5, \u22120.9 % (\u2212156.1 kt) for CH4 and \u22120.2 % (\u22128.6 kt) for NH3. The most pronounced drop in emissions occurred in April (up to \u221232.8 % on average for NOx) when mobility restrictions were at their maxima. The emission reductions during the second epidemic wave between October and December, were three to four times lower than those occurred during the Spring lockdown, as mobility restrictions were generally softer (e.g., curfews, limited social gatherings). Italy, France, Spain, the United Kingdom and Germany were, together, the largest contributors to the total EU27 + UK absolute emission decreases. At the sectoral level, the largest emission declines were found for aviation (\u221251 to \u221256 %), followed by road transport (\u221215.5 % to \u221218.8 %), the latter being the main driver of the estimated reductions for the majority of pollutants. The collection of COVID-19 emission adjustment factors (https://doi.org/10.24380/k966-3957, Guevara et al., 2022) and the CAMS-REG_v5.1 2020 BAU gridded inventory (https://doi.org/10.24380/eptm-kn40, Kuenen et al., 2022) have been produced in support of air quality modelling studies.

", "keywords": ["QE1-996.5", "330", "Mobility restrictions COVID-19", "Geology", "COVID-19 (Malaltia)", "01 natural sciences", "7. Clean energy", "3. Good health", "Environmental sciences", "COVID-19 (Disease)", "Greenhouse gases", "13. Climate action", "Simulaci\u00f3 per ordinador", "Air quality", "11. Sustainability", "GE1-350", "Air--Pollution", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental::Contaminaci\u00f3 atmosf\u00e8rica", "Confinament", ":Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental::Contaminaci\u00f3 atmosf\u00e8rica [\u00c0rees tem\u00e0tiques de la UPC]", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://essd.copernicus.org/articles/14/2521/2022/essd-14-2521-2022.pdf"}, {"href": "https://doi.org/2117/371172"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Earth%20System%20Science%20Data", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2117/371172", "name": "item", "description": "2117/371172", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2117/371172"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-25T00:00:00Z"}}, {"id": "2117/383484", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:26:06Z", "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/2117/383484"}, {"rel": "self", "type": "application/geo+json", "title": "2117/383484", "name": "item", "description": "2117/383484", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2117/383484"}, {"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": "2117/389557", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:26:06Z", "type": "Journal Article", "created": "2022-11-26", "title": "Pre-industrial, present and future atmospheric soluble iron deposition and the role of aerosol acidity and oxalate under CMIP6 emissions", "description": "Abstract

Atmospheric iron (Fe) deposition to the open ocean affects net primary productivity, nitrogen fixation, and carbon uptake. We investigate changes in soluble Fe (SFe) deposition from the pre\uffe2\uff80\uff90industrial period to the late 21st century using the EC\uffe2\uff80\uff90Earth3\uffe2\uff80\uff90Iron Earth System model. EC\uffe2\uff80\uff90Earth3\uffe2\uff80\uff90Iron considers various sources of Fe, including dust, fossil fuel combustion, and biomass burning, and features comprehensive atmospheric chemistry, representing atmospheric oxalate, sulfate, and Fe cycles. We show that anthropogenic activity has changed the magnitude and spatial distribution of SFe deposition by increasing combustion Fe emissions and atmospheric acidity and oxalate levels. We report that SFe deposition has doubled since the early industrial era, using the Coupled Model Intercomparison Project Phase 6 emission inventory. We highlight acidity as the main solubilization pathway for dust\uffe2\uff80\uff90Fe and oxalate\uffe2\uff80\uff90promoted processing for the solubilization of combustion\uffe2\uff80\uff90Fe. We project a global SFe deposition increase of 40% by the late 21st century relative to present day under Shared Socioeconomic Pathway (SSP) 3\uffe2\uff80\uff937.0, which assumes weak climate change mitigation policies. Conversely, SSPs with stronger mitigation pathways (1\uffe2\uff80\uff932.6 and 2\uffe2\uff80\uff934.5) result in 35% and 10% global decreases, respectively. Despite these differences, SFe deposition increases over the equatorial Pacific and decreases in the Southern Ocean (SO) for all SSPs. We further observe that deposition over the equatorial Pacific and SO are highly sensitive to future changes in dust emissions from Australia and South America, as well as from North Africa. Future studies should focus on the potential impact of climate\uffe2\uff80\uff90 and human\uffe2\uff80\uff90induced changes in dust and wildfires combined.

Abstract. We present a high-resolution global emission catalogue of CO2 and co-emitted species (NOx, SO2, CO, CH4) from thermal power plants for the year 2018. The construction of the database follows a bottom-up approach, which combines plant-specific information with national energy consumption statistics and fuel-dependent emission factors for CO2 and emission ratios for co-emitted species (e.g. the amount of NOx emitted relative to CO2: NOx/CO2). The resulting catalogue contains annual emission information for more than 16\u2009000 individual facilities at their exact geographical locations. Each facility is linked to a country- and fuel-dependent temporal profile (i.e. monthly, day of the week and hourly) and a plant-level vertical profile, which were derived from national electricity generation statistics and plume rise calculations that combine stack parameters with meteorological information. The combination of the aforementioned information allows us to derive high-resolution spatial and temporal emissions for modelling purposes. Estimated annual emissions were compared against independent plant- and country-level inventories, including Carbon Monitoring for Action (CARMA), the Global Infrastructure emission Database (GID) and the Emissions Database for Global Atmospheric Research (EDGAR), as well as officially reported emission data. Overall good agreement is observed between datasets when comparing the CO2 emissions. The main discrepancies are related to the non-inclusion of auto-producer or heat-only facilities in certain countries due to a lack of data. Larger inconsistencies are obtained when comparing emissions from co-emitted species due to uncertainties in the fuel-, country- and region-dependent emission ratios and gap-filling procedures. The temporal distribution of emissions obtained in this work was compared against traditional sector-dependent profiles that are widely used in modelling efforts. This highlighted important differences and the need to consider country dependencies when temporally distributing emissions. The resulting catalogue (https://doi.org/10.24380/0a9o-v7xe, Guevara et al., 2023) is developed in the framework of the Prototype System for a Copernicus CO2 service (CoCO2) European Union (EU)-funded project to support the development of the Copernicus CO2 Monitoring and Verification Support capacity (CO2MVS).

", "keywords": ["QE1-996.5", "550", "Atmospheric carbon dioxide", "Heating plants", "Urbanisation", "Geology", "Environment", "7. Clean energy", "12. Responsible consumption", "Emission", "Environmental sciences", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Enginyeria ambiental", "Centrals t\u00e8rmiques", "13. Climate action", "11. Sustainability", "GE1-350", "Anh\u00eddrid carb\u00f2nic atmosf\u00e8ric"]}, "links": [{"href": "https://doi.org/2117/405068"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Earth%20System%20Science%20Data", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2117/405068", "name": "item", "description": "2117/405068", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2117/405068"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-15T00:00:00Z"}}, {"id": "2117/401602", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:26:06Z", "type": "Journal Article", "created": "2023-05-15", "title": "Performance and Early Results from the Earth Surface Mineral Dust Source Investigation (EMIT) Imaging Spectroscopy Mission", "description": "RestrictedThe authors gratefully acknowledge all the elements of the National Aeronautics and Space Administration, our partners, and the science community who have contributed to the development of the EMIT mission. EMIT is supported by the National Aeronautics and Space Administration Earth Venture Instrument Program under the Earth Science Division of the Science Mission Directorate. This research was performed at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration.", "keywords": ["Mineral dusts", "550", "500", "15. Life on land", "7. Clean energy", "Spectrometer", "3. Good health", "Earth (Planet)--Surface", "Espect\u00f2metres", "13. Climate action", "Terra (Planeta)--Superf\u00edcie", "11. Sustainability", "\u00c0rees tem\u00e0tiques de la UPC::F\u00edsica::Astronomia i astrof\u00edsica", "14. Life underwater", "Pols minerals"]}, "links": [{"href": "http://xplorestaging.ieee.org/ielx7/10115529/10115530/10115851.pdf?arnumber=10115851"}, {"href": "https://doi.org/2117/401602"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2023%20IEEE%20Aerospace%20Conference", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2117/401602", "name": "item", "description": "2117/401602", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2117/401602"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-03-04T00:00:00Z"}}, {"id": "2117/405673", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:26:06Z", "type": "Journal Article", "created": "2024-02-01", "title": "Estimation of pan-European, daily total, fine-mode and coarse-mode Aerosol Optical Depth at 0.1\u00b0 resolution to facilitate air quality assessments", "description": "Aerosol Optical Depth (AOD) data derived from satellites is crucial for estimating spatially-resolved PM concentrations, but existing AOD data over land remain affected by several limitations (e.g., data gaps, coarser resolution, higher uncertainty or lack of size fraction data), which weakens the AOD-PM relationship. We developed a 0.1\u00b0 resolution daily AOD data set over Europe over the period 2003-2020, based on two-stage Quantile Machine Learning (QML) frameworks. Our approach first fills gaps in satellite AOD data and then constructs three components' models to obtain reliable full-coverage AOD along with Fine-mode AOD (fAOD) and Coarse-mode AOD (cAOD). These models are based on AERONET (AErosol RObotic NETwork) observations, Gap-filled satellite AOD, climate and atmospheric composition reanalyses. Our QML AOD products exhibit better quality with an out-of-sample R2 equal to 0.68 for AOD, 0.66 for fAOD and 0.65 for cAOD, which is 23-92\u00a0%, 11-13\u00a0% and 115-132\u00a0% higher than the corresponding satellite or reanalysis products, respectively. Over 91.6\u00a0%, 81.6\u00a0%, and 88.9\u00a0% of QML AOD, fAOD and cAOD predictions fall within \u00b120\u00a0% Expected Error (EE) envelopes, respectively. Previous studies reported that a weak satellite AOD-PM correlation across Europe (Pearson correlation coefficient (PCC) around 0.1). Our QML products exhibit higher correlations with ground-level PMs, particularly when broadly matched by size: AOD with PM10, fAOD with PM2.5, cAOD with PM coarse (R\u00a0=\u00a00.41, 0.45 and 0.26, respectively). Different AOD fractions more effectively distinct PM size fractions, than total AOD. Our QML aerosol dataset and models pioneer full-coverage, daily high-resolution monitoring of fine-mode and coarse-mode aerosols, effectively addressing existing AOD challenges for further PMs exposures' estimations. This dataset opens avenues for more in-depth exploration of the impacts of aerosols on human health, climate, visibility, and biogeochemical processes, offering valuable insights for air quality management and environmental health risk assessment.", "keywords": ["cAOD", "Satellite", "13. Climate action", "Simulaci\u00f3 per ordinador", "11. Sustainability", "fAOD", "Aerosol Optical Depth", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental::Contaminaci\u00f3 atmosf\u00e8rica", "14. Life underwater", "Atmospheric aerosols", "Particulate matter", "Aerosol", "3. Good health"]}, "links": [{"href": "https://doi.org/2117/405673"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2117/405673", "name": "item", "description": "2117/405673", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2117/405673"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-03-01T00:00:00Z"}}, {"id": "2117/410005", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:26:06Z", "type": "Journal Article", "created": "2024-06-04", "title": "Improved constraints on hematite refractive index for estimating climatic effects of dust aerosols", "description": "Abstract

Uncertainty in desert dust composition poses a big challenge to understanding Earth\uffe2\uff80\uff99s climate across different epochs. Of particular concern is hematite, an iron-oxide mineral dominating the solar absorption by dust particles, for which current estimates of absorption capacity vary by over two orders of magnitude. Here, we show that laboratory measurements of dust composition, absorption, and scattering provide valuable constraints on the absorption potential of hematite, substantially narrowing its range of plausible values. The success of this constraint is supported by results from an atmospheric transport model compared with station-based measurements. Additionally, we identify substantial bias in simulating hematite abundance in dust aerosols with current soil mineralogy descriptions, underscoring the necessity for improved data sources. Encouragingly, the next-generation imaging spectroscopy remote sensing data hold promise for capturing the spatial variability of hematite. These insights have implications for enhancing dust modeling, thus contributing to efforts in climate change mitigation and adaptation.

Abstract. Characterizing physico-chemical properties of dust-emitting sediments in arid regions is fundamental to understand the effect of dust on climate and ecosystems. For high-latitude dust (HLD), this knowledge is scarce. This study focuses on the particle size distribution (PSD), mineralogy, cohesion, iron (Fe) mode of occurrence and Visible Near Infra-Red (VNIR) reflectance spectra of dust-emitting sediments from dust-hotspots in Iceland (HLD region). Extensive analysis was conducted on top sediments collected from seven dust-sources and an intensive at Jokuls\u00e1 basin including top sediments, sediments and aeolian ripples. Fully and minimally dispersed PSDs evidenced remarkable similarities with an average median diameter of 56\u00b169 and 55\u00b162 \u00b5m. Mineralogical analyses showed the prevalence of amorphous phases (68\u00b126 %), feldspars (17\u00b113 %), and pyroxenes (9.3\u00b17.2 %), aligned with the reflectance spectra. Fe content reached 9.5\u00b10.40 wt %, mainly in silicate structures (80\u00b16.3 %), complemented by magnetite (16\u00b15.5 %), hematite/goethite (4.5\u00b12.7 %), and readily exchangeable Fe-ions or Fe nano-oxides (1.6\u00b10.63 %). Icelandic top sediments have coarser PSD compared to the high dust-emitting crusts from mid-latitude arid regions, distinctive mineralogy, and threefold bulk Fe content, with a large presence of magnetite. The congruence between fully and minimally dispersed PSDs underscores a reduced particle aggregation and cohesion of Icelandic top sediments, suggesting that aerodynamic entrainment of dust may also play a role upon emission in this region, aside of saltation bombardment. The analysis of an extensive sampling in Dyngjusandur allowed this study to present a conceptual model to encapsulate Iceland's rapidly evolving high dust-emitting environments.

", "keywords": ["550", "QC1-999", "Iron", "Iceland", "Reflectance", "01 natural sciences", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Enginyeria ambiental", "Physicochemical property", "11. Sustainability", "Pols", "14. Life underwater", "QD1-999", "0105 earth and related environmental sciences", "info:eu-repo/classification/ddc/550", "ddc:550", "Physics", "Sediments (Geologia)", "Sediments (Geology)", "Dust", "Particle size", "Size distribution", "15. Life on land", "Mineralogy", "Earth sciences", "Chemistry", "13. Climate action", "Cohesion"]}, "links": [{"href": "https://acp.copernicus.org/articles/24/6883/2024/acp-24-6883-2024.pdf"}, {"href": "https://doi.org/2117/411965"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2117/411965", "name": "item", "description": "2117/411965", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2117/411965"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-22T00:00:00Z"}}, {"id": "2117/416499", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:26:07Z", "type": "Journal Article", "created": "2024-02-27", "title": "Characterization of the particle size distribution, mineralogy and Fe mode of occurrence of dust-emitting sediments across the Mojave Desert, California, USA", "description": "

Abstract. Understanding the effect of dust upon climate and ecosystems needs comprehensive analyses of the physiochemical properties of dust-emitting sediments in arid regions. Here, we analyse a diverse set of crusts and aeolian ripples (n=55) from various dust-hotspots within the Mojave Desert, California, USA, with focus on their particle size distribution (PSD), mineralogy, aggregation/cohesion state and iron mode of occurrence characterization. Our results showed differences in fully and minimally dispersed PSDs, with crusts average median diameters (92 and 37 \u00b5m, respectively) compared to aeolian ripples (226 and 213 \u00b5m, respectively). Mineralogical analyses unveiled variations between crusts and ripples, with crusts enriched in phyllosilicates (24 vs 7.8 %), carbonates (6.6 vs 1.1 %), Na-salts (7.3 vs 1.1 %) and zeolites (1.2 and 0.12 %), while ripples enriched in feldspars (48 vs 37 %), quartz (32 vs 16 %), and gypsum (4.7 vs 3.1 %). Bulk Fe content analyses indicate higher concentrations in crusts (3.0\u00b11.3 wt %) compared to ripples (1.9\u00b11.1 wt %), with similar Fe speciation proportions; nano Fe-oxides/readily exchangeable Fe represent ~1.6 %, hematite/goethite ~15 %, magnetite/maghemite ~2.0 % and structural Fe in silicates ~80 % of the total Fe. We identified segregation patterns in PSD and mineralogy differences within the Mojave basins, influenced by sediment transportation dynamics and precipitates due to groundwater table fluctuations. Mojave Desert crusts show similarities with previously sampled crusts in the Moroccan Sahara for PSD and readily exchangeable Fe, yet exhibit differences in mineralogical composition, which could influence the emitted dust particles characteristics.

", "keywords": ["info:eu-repo/classification/ddc/550", "550", "ddc:550", "Physics", "QC1-999", "Iron", "Dust", "Particle size", "Size distribution", "15. Life on land", "Mineralogy", "Mojave Desert", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Enginyeria ambiental", "Earth sciences", "Chemistry", "Physicochemical property", "13. Climate action", "Sediment", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria qu\u00edmica::Qu\u00edmica del medi ambient", "QD1-999"]}, "links": [{"href": "https://acp.copernicus.org/articles/24/9155/2024/acp-24-9155-2024.pdf"}, {"href": "https://doi.org/2117/416499"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2117/416499", "name": "item", "description": "2117/416499", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2117/416499"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-02-27T00:00:00Z"}}, {"id": "2117/419477", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:26:07Z", "type": "Journal Article", "created": "2024-06-21", "title": "On the uncertainty of anthropogenic aromatic volatile organic compound emissions: model evaluation and sensitivity analysis", "description": "

Abstract. Volatile organic compounds (VOCs) significantly impact air quality and atmospheric chemistry, influencing ozone formation and secondary organic aerosol production. Despite their importance, the uncertainties associated with representing VOCs in atmospheric emission inventories are considerable. This work presents a spatiotemporal assessment and evaluation of benzene, toluene, and xylene (BTX) emissions and concentrations in Spain by combining bottom-up emissions, air quality modelling techniques, and ground-based observations. The emissions produced by High-Elective Resolution Modelling Emission System (HERMESv3) were used as input to the Multiscale Online Nonhydrostatic AtmospheRe CHemistry (MONARCH) chemical transport model to simulate surface concentrations across Spain. Comparing modelled and observed levels revealed uncertainty in the anthropogenic emissions, which were further explored through sensitivity tests. The largest levels of observed benzene and xylene were found in industrial sites near coke ovens, refineries, and car manufacturing facilities, where the modelling results show large underestimations. Official emissions reported for these facilities were replaced by alternative estimates, resulting in varied improvements in the model's performance across different stations. However, uncertainties associated with industrial emission processes persist, emphasising the need for further refinement. For toluene, consistent overestimations in background stations were mainly related to uncertainties in the spatial disaggregation of emissions from industrial-use solvent activities, mainly wood paint applications. Observed benzene levels in Barcelona's urban traffic areas were 5\u00a0times larger than the ones observed in Madrid. MONARCH failed to reproduce the observed gradient between the two cities due to uncertainties arising from estimating emissions from motorcycles and mopeds, as well as from different measurement methods and the model's capacity to accurately simulate meteorological conditions. Our results are constrained by the spatial and temporal coverage of available BTX observations, posing a key challenge in evaluating the spatial distribution of modelled levels and associated emissions.

", "keywords": ["Aerosols", "Atmospheric chemistry", "550", "Physics", "QC1-999", "Xylene", "VOCs", "Benzene", "01 natural sciences", "7. Clean energy", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Enginyeria ambiental", "Chemistry", "Ozone", "13. Climate action", "Air quality", "11. Sustainability", "Volatile organic compounds", "QD1-999", "Toluene", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/2117/419477"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2117/419477", "name": "item", "description": "2117/419477", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2117/419477"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-06-21T00:00:00Z"}}, {"id": "2117/418477", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:26:07Z", "type": "Journal Article", "created": "2024-08-30", "title": "ONCOLINER: A new solution for monitoring, improving, and harmonizing somatic variant calling across genomic oncology centers", "description": "The characterization of somatic genomic variation associated with the biology of tumors is fundamental for cancer research and personalized medicine, as it guides the reliability and impact of cancer studies and genomic-based decisions in clinical oncology. However, the quality and scope of tumor genome analysis across cancer research centers and hospitals are currently highly heterogeneous, limiting the consistency of tumor diagnoses across hospitals and the possibilities of data sharing and data integration across studies. With the aim of providing users with actionable and personalized recommendations for the overall enhancement and harmonization of somatic variant identification across research and clinical environments, we have developed ONCOLINER. Using specifically designed mosaic and tumorized genomes for the analysis of recall and precision across somatic SNVs, insertions or deletions (indels), and structural variants (SVs), we demonstrate that ONCOLINER is capable of improving and harmonizing genome analysis across three state-of-the-art variant discovery pipelines in genomic oncology.", "keywords": ["330", "Bioinformatics", "Genome", " Human", "610", "Genomics", "Medical Oncology", "Somatic variant calling", "Polymorphism", " Single Nucleotide", "Article", "Benchmarking", "Oncology", "INDEL Mutation", "\u00c0rees tem\u00e0tiques de la UPC::Inform\u00e0tica::Aplicacions de la inform\u00e0tica::Bioinform\u00e0tica", "Neoplasms", "Cancer genomics", "Humans", "Benchmarking data", "Precision Medicine", "Software"]}, "links": [{"href": "https://doi.org/2117/418477"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Cell%20Genomics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2117/418477", "name": "item", "description": "2117/418477", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2117/418477"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-09-01T00:00:00Z"}}, {"id": "2117/431936", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:26:07Z", "type": "Journal Article", "created": "2025-06-13", "title": "Future climate-driven fires may boost ocean productivity in the iron-limited North Atlantic", "description": "Rapid shifts in fire regimes affect the carbon cycle by releasing carbon and nutrients such as iron (Fe), potentially enhancing marine productivity and carbon export. Here we use fire emission projections and Earth system models to examine how climate-driven changes in fire emissions may alter soluble Fe (SFe) deposition and productivity. By century\u2019s end, climate change could increase Fe emissions from fires by 1.7\u20131.8 times beyond projections considering only direct human influences. Model projections show rising SFe deposition in Northern Hemisphere high latitudes under increasing socio-economic activity, potentially boosting the impact of SFe deposition on productivity in the Fe-limited North Atlantic by up to 20% annually (40% in summer), assuming stable macronutrient levels. However, declining macronutrient availability may shrink Fe-limited areas, where climate-driven fires could offset productivity losses by 7\u20138%. In the Southern Ocean, fossil fuel emissions primarily control SFe deposition, as reductions in anthropogenic fires counterbalance climate-driven increases.", "keywords": ["Fire emissions", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental::Canvi clim\u00e0tic", "Climate change", "Carbon cycle", "Iron (Fe)", "Article"]}, "links": [{"href": "https://doi.org/2117/431936"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Climate%20Change", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2117/431936", "name": "item", "description": "2117/431936", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2117/431936"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-06-13T00:00:00Z"}}, {"id": "2117/444074", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:26:07Z", "type": "Journal Article", "created": "2025-08-20", "title": "Assessing the global contribution of marine aerosols, terrestrial bioaerosols, and desert dust to ice-nucleating particle concentrations", "description": "

Abstract. Aerosol\u2013cloud interactions, particularly ice processes in mixed-phase clouds (MPCs), remain a key source of uncertainty in climate change assessments. This study introduces state-of-the-art laboratory-based parameterizations into a global chemistry\u2013transport model to investigate the contributions of mineral dust (specifically K-feldspar and quartz), marine primary organic aerosol (MPOA), and terrestrial primary biological aerosol particles (PBAPs) to ice-nucleating particles (INPs) in MPCs. The model suggests that INPs originating from PBAPs (INPPBAP) are the primary source of INPs at low altitudes between \u221210 and \u221220\u2009\u00b0C, particularly in the tropics, with a pronounced peak in the Northern Hemisphere (NH) during the boreal summer. INPPBAP contributes over 40\u2009% of the total simulated INP column burden at midlatitudes. Dust-derived INPs (INPD) are prominent at high altitudes across all seasons, dominating at temperatures below \u221220\u2009\u00b0C, and they constitute over 89\u2009% of the INP average column burden at high latitudes in the NH and about 74\u2009% at high latitudes in the Southern Hemisphere (SH). MPOA-derived INPs (INPMPOA) prevail in the SH at low altitudes, particularly at subpolar and polar latitudes for temperatures above \u221220\u2009\u00b0C, where they represent between 17\u2009% and 36\u2009% of the INP column population, depending on the\u00a0season. When evaluated against available global observational INP data, the model achieves its highest predictability across all temperature ranges when both INPD and INPMPOA are included as independent INP sources. The addition of INPPBAP does not enhance the model's ability to reproduce the available observations; however, INPPBAP remains a key contributor to warm-temperature ice-nucleation events. Therefore, consideration of dust, marine aerosol, and terrestrial bioaerosols as distinct INP species is required to simulate ice nucleation in climate models.

", "keywords": ["\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental::Canvi clim\u00e0tic", "Climate change", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria civil::Geologia::Mineralogia", "Aerosol-cloud interactions"]}, "links": [{"href": "https://doi.org/2117/444074"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2117/444074", "name": "item", "description": "2117/444074", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2117/444074"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-08-20T00:00:00Z"}}, {"id": "2117/430875", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:26:07Z", "type": "Journal Article", "created": "2025-06-03", "title": "HTAP3 Fires: towards a multi-model, multi-pollutant study of fire impacts", "description": "

Abstract. Open biomass burning has major impacts globally and regionally on atmospheric composition. Fire emissions include particulate matter, tropospheric ozone precursors, and greenhouse gases, as well as persistent organic pollutants, mercury, and other metals. Fire frequency, intensity, duration, and location are changing as the climate warms, and modelling these fires and their impacts is becoming more and more critical to inform climate adaptation and mitigation, as well as land management. Indeed, the air pollution from fires can reverse the progress made by emission controls on industry and transportation. At the same time, nearly all aspects of fire modelling \u2013 such as emissions, plume injection height, long-range transport, and plume chemistry \u2013 are highly uncertain. This paper outlines a multi-model, multi-pollutant, multi-regional study to improve the understanding of the uncertainties and variability in fire atmospheric science, models, and fires' impacts, in addition to providing quantitative estimates of the air pollution and radiative impacts of biomass burning. Coordinated under the auspices of the Task Force on Hemispheric Transport of Air Pollution, the international atmospheric modelling and fire science communities are working towards the common goal of improving global fire modelling and using this multi-model experiment to provide estimates of fire pollution for impact studies. This paper outlines the research needs, opportunities, and options for the fire-focused multi-model experiments and provides guidance for these modelling experiments, outputs, and analyses that are to be pursued over the next 3\u00a0to 5\u00a0years. The paper proposes a plan for delivering specific products at key points over this period to meet important milestones relevant to science and policy audiences.

", "keywords": ["Air pollution", "biomass burning Emissionen Klima Luftqualit\u00e4t", "Tropospheric ozone", "7. Clean energy", "Fires", "Surface ozone", "11. Sustainability", "SDG 13 - Climate Action", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria qu\u00edmica::Qu\u00edmica del medi ambient::Qu\u00edmica atmosf\u00e8rica", "QE1-996.5", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental::Canvi clim\u00e0tic", "Atmospheric composition", "Geology", "Sediment transport", "Southeast atlantic", "15. Life on land", "Reactive nitrogen", "Impact studies", "13. Climate action", "Air-quality", "Open biomass burning", "Biomass-burning aerosol", "Wild-land fires", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental::Contaminaci\u00f3 atmosf\u00e8rica", "Particulate matter", "Health impacts"]}, "links": [{"href": "https://doi.org/2117/430875"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Model%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2117/430875", "name": "item", "description": "2117/430875", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2117/430875"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-08-28T00:00:00Z"}}, {"id": "2117/433687", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:26:07Z", "type": "Journal Article", "created": "2025-01-09", "title": "Assessment of intensified constructed wetlands for the attenuation of PMT compounds from groundwater and wastewater: Characterization of biofilm communities", "description": "Open AccessPeer reviewed", "keywords": ["Persistent", " mobile and toxic compounds", "Ensure availability and sustainable management of water and sanitation for all", "mobile and toxic compounds", "Build resilient infrastructure", " promote inclusive and sustainable industrialization and foster innovation", "Electroconductive materials", "Microbial electrochemical technologies", "Persistent", "Water treatment", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria agroaliment\u00e0ria::Enginyeria del medi rural", "Intensified constructed wetlands", "Ensure healthy lives and promote well-being for all at all ages", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Medi ambient"], "contacts": [{"organization": "Cano-L\u00f3pez, Alicia, Escol\u00e0-Casas, M\u00f2nica, Subirats, J\u00e8ssica, Matamoros, V\u00edctor,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/2117/433687"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Water%20Process%20Engineering", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2117/433687", "name": "item", "description": "2117/433687", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2117/433687"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-02-01T00:00:00Z"}}, {"id": "2133/15160", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:26:07Z", "type": "Report", "title": "Bol CIM 211 : \u00bfC\u00f3mo administrar correctamente los comprimidos?", "description": "Fil: Fil: Centro de Informaci\u00f3n de Medicamentos (CIM). Universidad Nacional de Rosario. Facultad de Ciencias Bioqu\u00edmicas y Farmac\u00e9uticas. \u00c1rea de Farmacia Asistencial; Argentina.", "keywords": ["Tratamiento Farmacol\u00f3gico", "Tiroxina", "Comprimidos"], "contacts": [{"organization": "Centro de Informaci\u00f3n de Medicamentos - FCByF - UNR", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/2133/15160"}, {"rel": "self", "type": "application/geo+json", "title": "2133/15160", "name": "item", "description": "2133/15160", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2133/15160"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-05-01T00:00:00Z"}}, {"id": "21527f95-6222-4b01-86a7-112640d430b6", "type": "Feature", "geometry": null, "properties": {"updated": "2025-09-02T10:14:32", "type": "Dataset", "language": "de", "title": "OAF Bodenarten und Substrate BB (OAF-BOARTSUBSTR)", "description": "Der Downloaddienst (OAF) Bodenarten und Substrate Brandenburg stellt Daten zu Bodenarten im Oberboden sowie substratsystematischen Einheiten im Land Brandenburg bereit. Die Inhalte wurden f\u00fcr den Ma\u00dfstab 1 : 300.000 erstellt und sind f\u00fcr Darstellungen in Ma\u00dfst\u00e4ben gr\u00f6\u00dfer 1 : 100.000 nicht geeignet. Bodenarten: Bei der zugrundeliegenden Bodenkarte handelt es sich um die Darstellung von Bodenformengesellschaften. Areale einzelner Bodenformen k\u00f6nnen nicht ausgewiesen werden, weil die Struktur und Heterogenit\u00e4t der Bodendecke ma\u00dfstabsbedingt nur noch die Kartierung von Gesellschaften erlaubt, die den Inhalt der Legenden bestimmen. F\u00fcr das Thema Bodenarten des Oberbodens bedeutet dies, dass der Einfachheit halber gemittelte Bodenarten des Oberbodens f\u00fcr die Legendeneinheiten (Bodenformengesellschaften) angegeben werden. Die Klassifizierung der Bodenformengesellschaften erfolgt jeweils nach KA5 und nach VDLUFA. Substrate: Der Dienst basiert auf den Legendeinheiten der Boden\u00fcbersichtskarte. Diese stellen Bodenformengesellschaften dar. Die substratsystematischen Einheiten der Fl\u00e4chenbodenformen liefern Angaben zur Substratgenese, Bodenartenschichtung und Bodenausgangsgestein. Die Legende der \u00dcbersichtskarte ist nach der Substratgenese und den Bodenarten gegliedert. OGC API-Features ist eine Web-API zur vereinfachten Nutzung der Daten in entsprechenden Web-Entwicklungsumgebungen. 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