{"type": "FeatureCollection", "features": [{"id": "10.1016/j.gca.2020.08.011", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:16:14Z", "type": "Journal Article", "created": "2020-08-18", "title": "An experimentally-determined general formalism for evaporation and isotope fractionation of Cu and Zn from silicate melts between 1300 and 1500\u202f\u00b0C and 1\u202fbar", "description": "Open AccessISSN:1872-9533", "keywords": ["Vapour", "[PHYS.PHYS.PHYS-GEO-PH] Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph]", "Isotope", "13. Climate action", "Evaporation; Vapour; Cu; Zn; Silicate melt; Isotope", "Evaporation", "Zn", "Silicate melt", "01 natural sciences", "7. Clean energy", "Cu", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.gca.2020.08.011"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geochimica%20et%20Cosmochimica%20Acta", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.gca.2020.08.011", "name": "item", "description": "10.1016/j.gca.2020.08.011", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.gca.2020.08.011"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-11-01T00:00:00Z"}}, {"id": "10.1029/2020jd034163", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:17:27Z", "type": "Journal Article", "created": "2021-07-23", "title": "Upgrading Land\u2010Cover and Vegetation Seasonality in the ECMWF Coupled System: Verification With FLUXNET Sites, METEOSAT Satellite Land Surface Temperatures, and ERA5 Atmospheric Reanalysis", "description": "Abstract

In this study, we show that limitations in the representation of land cover and vegetation seasonality in the European Centre for Medium\uffe2\uff80\uff90Range Weather Forecasting (ECMWF) model are partially responsible for large biases (up to \uffe2\uff88\uffbc10\uffc2\uffb0C, either positive or negative depending on the region) on the simulated daily maximum land surface temperature (LST) with respect to satellite Earth Observations (EOs) products from the Land Surface Analysis Satellite Application Facility. The error patterns were coherent in offline land\uffe2\uff80\uff90surface and coupled land\uffe2\uff80\uff90atmosphere simulations, and in ECMWF's latest generation reanalysis (ERA5). Subsequently, we updated the ECMWF model's land cover characterization leveraging on state\uffe2\uff80\uff90of\uffe2\uff80\uff90the\uffe2\uff80\uff90art EOs\uffe2\uff80\uff94the European Space Agency Climate Change Initiative land cover data set and the Copernicus Global Land Services leaf area index. Additionally, we tested a clumping parameterization, introducing seasonality to the effective low vegetation coverage. The updates reduced the overall daily maximum LST bias and unbiased root\uffe2\uff80\uff90mean\uffe2\uff80\uff90squared errors. In contrast, the implemented updates had a neutral impact on daily minimum LST. Our results also highlighted the complex regional heterogeneities in the atmospheric sensitivity to land cover and vegetation changes, particularly with issues emerging over eastern Brazil and northeastern Asia. These issues called for a re\uffe2\uff80\uff90calibration of model parameters (e.g., minimum stomatal resistance, roughness length, rooting depth), along with a revision of several model assumptions (e.g., snow shading by high vegetation).

", "keywords": ["Atmospheric Science", "CLIMATE-CHANGE", "IMPACT", "PREDICTION", "SNOW SCHEME", "ASSIMILATION", "MODELS", "15. Life on land", "SOIL-MOISTURE", "01 natural sciences", "PREDICTABILITY", "VARIABILITY", "Geophysics", "Space and Planetary Science", "13. Climate action", "Earth and Environmental Sciences", "Earth and Planetary Sciences (miscellaneous)", "SENSITIVITY", "Research Article", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1029/2020jd034163"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geophysical%20Research%3A%20Atmospheres", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1029/2020jd034163", "name": "item", "description": "10.1029/2020jd034163", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1029/2020jd034163"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-02T00:00:00Z"}}, {"id": "10.1002/2013jg002494", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:13:58Z", "type": "Journal Article", "created": "2014-05-01", "title": "Rates And Radiocarbon Content Of Summer Ecosystem Respiration In Response To Long-Term Deeper Snow In The High Arctic Of Nw Greenland", "description": "Abstract

The amount and timing of snow cover control the cycling of carbon (C), water, and energy in arctic ecosystems. The implications of changing snow cover for regional C budgets, biogeochemistry, hydrology, and albedo due to climate change are rudimentary, especially for the High Arctic. In a polar semidesert of NW Greenland, we used a ~10\uffe2\uff80\uff89year old snow manipulation experiment to quantify how deeper snow affects magnitude, seasonality, and 14C content of summer C emissions. We monitored ecosystem respiration (Reco), soil CO2, and their 14C contents over three summers in vegetated and bare areas. Additional snowpack, elevated soil water content (SWC), and temperature throughout the growing season in vegetated, but not in bare, areas. Daily Reco was positively correlated to temperature, but negatively correlated to SWC; consequently, we found no effect of increased snow on daily flux. Cumulative summertime Reco was not related to annual snowfall, but to water year precipitation (winter snow plus summer rain). Experimentally increased snowpack shortened the growing season length and reduced summertime Reco up to 40%. Soil CO2 was older under increased snow. However, we found no effect of snow depth on the Reco age because older C emissions were masked by younger CO2 produced from the litter layer or plant respiration. In the High Arctic, anticipated changes in precipitation regime associated with warming are a key uncertainty for understanding future C cycling. In polar semideserts, water year precipitation is an important driver of summertime Reco. Permafrost C is vulnerable to changes in snowpack, with a deeper snowpack\uffe2\uff80\uff90promoting decomposition of older soil C.

", "keywords": ["Climate Action", "Geophysics", "13. Climate action", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Lupascu, M, Welker, JM, Xu, X, Czimczik, CI,", "roles": ["creator"]}]}, "links": [{"href": "https://escholarship.org/content/qt42z6w12h/qt42z6w12h.pdf"}, {"href": "https://doi.org/10.1002/2013jg002494"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geophysical%20Research%3A%20Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/2013jg002494", "name": "item", "description": "10.1002/2013jg002494", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/2013jg002494"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-06-01T00:00:00Z"}}, {"id": "10.1002/2017JG004269", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:13:58Z", "type": "Journal Article", "created": "2017-12-18", "title": "Soil Carbon Dynamics in Soybean Cropland and Forests in Mato Grosso, Brazil", "description": "Abstract

Climate and land use models predict that tropical deforestation and conversion to cropland will produce a large flux of soil carbon (C) to the atmosphere from accelerated decomposition of soil organic matter (SOM). However, the C flux from the deep tropical soils on which most intensive crop agriculture is now expanding remains poorly constrained. To quantify the effect of intensive agriculture on tropical soil C, we compared C stocks, radiocarbon, and stable C isotopes to 2\uffc2\uffa0m depth from forests and soybean cropland created from former pasture in Mato Grosso, Brazil. We hypothesized that soil disturbance, higher soil temperatures (+2\uffc2\uffb0C), and lower OM inputs from soybeans would increase soil C turnover and deplete C stocks relative to nearby forest soils. However, we found reduced C concentrations and stocks only in surface soils (0\uffe2\uff80\uff9310\uffc2\uffa0cm) of soybean cropland compared with forests, and these differences could be explained by soil mixing during plowing. The amount and \uffce\uff9414C of respired CO2 to 50\uffc2\uffa0cm depth were significantly lower from soybean soils, yet CO2 production at 2\uffc2\uffa0m deep was low in both forest and soybean soils. Mean surface soil \uffce\uffb413C decreased by 0.5\uffe2\uff80\uffb0 between 2009 and 2013 in soybean cropland, suggesting low OM inputs from soybeans. Together these findings suggest the following: (1) soil C is relatively resistant to changes in land use and (2) conversion to cropland caused a small, measurable reduction in the fast\uffe2\uff80\uff90cycling C pool through reduced OM inputs, mobilization of older C from soil mixing, and/or destabilization of SOM in surface soils.

", "keywords": ["tropical forest", "2. Zero hunger", "Life on Land", "land use", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "Soil carbon", "Geophysics", "Tropical forest", "Isotopes", "13. Climate action", "Land use", "Earth Sciences", "0401 agriculture", " forestry", " and fisheries", "soil carbon", "Brazil", "isotopes", "Research Articles", "agriculture"]}, "links": [{"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1002/2017JG004269"}, {"href": "https://escholarship.org/content/qt4jm295dz/qt4jm295dz.pdf"}, {"href": "https://doi.org/10.1002/2017JG004269"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geophysical%20Research%3A%20Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/2017JG004269", "name": "item", "description": "10.1002/2017JG004269", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/2017JG004269"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "10.1002/2017jg004269", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:13:59Z", "type": "Journal Article", "created": "2017-12-18", "title": "Soil Carbon Dynamics in Soybean Cropland and Forests in Mato Grosso, Brazil", "description": "Abstract

Climate and land use models predict that tropical deforestation and conversion to cropland will produce a large flux of soil carbon (C) to the atmosphere from accelerated decomposition of soil organic matter (SOM). However, the C flux from the deep tropical soils on which most intensive crop agriculture is now expanding remains poorly constrained. To quantify the effect of intensive agriculture on tropical soil C, we compared C stocks, radiocarbon, and stable C isotopes to 2\uffc2\uffa0m depth from forests and soybean cropland created from former pasture in Mato Grosso, Brazil. We hypothesized that soil disturbance, higher soil temperatures (+2\uffc2\uffb0C), and lower OM inputs from soybeans would increase soil C turnover and deplete C stocks relative to nearby forest soils. However, we found reduced C concentrations and stocks only in surface soils (0\uffe2\uff80\uff9310\uffc2\uffa0cm) of soybean cropland compared with forests, and these differences could be explained by soil mixing during plowing. The amount and \uffce\uff9414C of respired CO2 to 50\uffc2\uffa0cm depth were significantly lower from soybean soils, yet CO2 production at 2\uffc2\uffa0m deep was low in both forest and soybean soils. Mean surface soil \uffce\uffb413C decreased by 0.5\uffe2\uff80\uffb0 between 2009 and 2013 in soybean cropland, suggesting low OM inputs from soybeans. Together these findings suggest the following: (1) soil C is relatively resistant to changes in land use and (2) conversion to cropland caused a small, measurable reduction in the fast\uffe2\uff80\uff90cycling C pool through reduced OM inputs, mobilization of older C from soil mixing, and/or destabilization of SOM in surface soils.We propose two methods to calibrate the parameters of the epidemic\uffe2\uff80\uff90type aftershock sequence (ETAS) model based on expectation maximization (EM) while accounting for temporal variation of catalog completeness. The first method allows for model calibration on long\uffe2\uff80\uff90term earthquake catalogs with temporal variation of the completeness magnitude,mc. This calibration technique is beneficial for long\uffe2\uff80\uff90term probabilistic seismic hazard assessment (PSHA), which is often based on a mixture of instrumental and historical catalogs. The second method generalizes the concept ofmc, considering rate\uffe2\uff80\uff90 and magnitude\uffe2\uff80\uff90dependent detection probability, and allows for self\uffe2\uff80\uff90consistent estimation of ETAS parameters and high\uffe2\uff80\uff90frequency detection incompleteness. With this approach, we aim to address the potential biases in parameter calibration due to short\uffe2\uff80\uff90term aftershock incompleteness, embracing incompleteness instead of avoiding it. Using synthetic tests, we show that both methods can accurately invert the parameters of simulated catalogs. We then use them to estimate ETAS parameters for California using the earthquake catalog since 1932. To explore how model calibration, inclusion of small events, and accounting for short\uffe2\uff80\uff90term incompleteness affect earthquakes' predictability, we systematically compare variants of ETAS models based on the second approach in pseudo\uffe2\uff80\uff90prospective forecasting experiments for California. Our proposed model significantly outperforms the ETAS null model, with decreasing information gain for increasing target magnitude threshold. We find that the ability to include small earthquakes for simulation of future scenarios is the primary driver of the improvement and that accounting for incompleteness is necessary. Our results have significant implications for our understanding of earthquake interaction mechanisms and the future of seismicity forecasting.

", "keywords": ["Physics - Geophysics", "13. Climate action", "0103 physical sciences", "earthquake forecasting", "ETAS", "FOS: Physical sciences", "short-term aftershock incompleteness", "data incompleteness", "01 natural sciences", "model inversion", "data incompleteness; model inversion; ETAS; earthquake forecasting", "Geophysics (physics.geo-ph)", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1002/essoar.10507003.1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geophysical%20Research%3A%20Solid%20Earth", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/essoar.10507003.1", "name": "item", "description": "10.1002/essoar.10507003.1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/essoar.10507003.1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-05-11T00:00:00Z"}}, {"id": "10.1016/j.agee.2016.01.026", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:15:24Z", "type": "Journal Article", "created": "2016-02-14", "title": "Overgrazing decreases soil organic carbon stocks the most under dry climates and low soil pH: A meta-analysis shows", "description": "Grasslands occupy about 40% of the world\u2019s land surface and store approximately 10% of the global soil organic carbon (SOC) stock. This SOC pool, in which a larger proportion is held in the topsoil (0\u20130.3 m), is strongly influenced by grassland management. Despite this, it is not yet fully understood how grassland SOC stocks respond to degradation, particularly for the different environmental conditions found globally. The objective of this review was to elucidate the impact of grassland degradation on changes in SOC stocks and the main environmental controls, worldwide, as a prerequisite for rehabilitation. A comprehensive meta-analysis was conducted using 55 studies with 628 soil profiles under temperate, humid, sub-humid, tropical and semi-arid conditions, to compare SOC stocks in the topsoil of non-degraded and degraded grassland soils. Grassland degradation significantly reduced SOC stocks by 16% in dry climates ( 1000 mm) and Asia was the most affected continent (\u221223.7%). Moreover, the depletion of SOC stock induced by degradation was more pronounced in sandy (<20% clay) soils with a high SOC depletion of 10% compared to 1% in clayey (\u226532% clay) soils. Furthermore, grassland degradation significantly reduced SOC by 14% in acidic soils (pH \u2264 5), while SOC changes were negligible for higher pH. Assuming that 30% of grasslands worldwide are degraded, the amount of SOC likely to be lost would be 4.05 Gt C, with a 95% confidence between 1.8 and 6.3 Gt C (i.e. from 1.2 to 4.2% of the whole grassland soil stock). These results by pointing to greater SOC losses from grasslands under dry climates and sandy acidic soils allow identification of grassland soils for which SOC stocks are the most vulnerable, while also informing on rehabilitation measures.", "keywords": ["580", "2. Zero hunger", "570", "Spatial variation", "[PHYS.PHYS.PHYS-GEO-PH] Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph]", "Climate Change", "[PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph]", "04 agricultural and veterinary sciences", "15. Life on land", "SOC stocks", "Grassland degradation", "630", "Soil", "Controlling factors", "13. Climate action", "Grasslands", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "https://doi.org/10.1016/j.agee.2016.01.026"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agriculture%2C%20Ecosystems%20%26amp%3B%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agee.2016.01.026", "name": "item", "description": "10.1016/j.agee.2016.01.026", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agee.2016.01.026"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-04-01T00:00:00Z"}}, {"id": "10.1007/s10518-017-0295-3", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:14:41Z", "type": "Journal Article", "created": "2017-12-09", "title": "Seismic actions on structures in the near-source region of the 2016 central Italy sequence", "description": "The central Italy seismic sequence began in the latter half of 2016 and continued well into 2017, causing severe damage in the villages close to the source and causing hundreds of casualties. It is a sequence especially interesting to study, from the perspective of seismic actions experienced by structures, because it saw nine M\u00a0\u2265\u00a05.0 earthquakes within a period of 5\u00a0months, rupturing parts of the complex central Apennine mountain range fault system. Consequently, some of the main earthquake engineering issues that arose are the multiple locations where the code-mandated seismic actions were exceeded in more than one of the main events of the sequence and the number of pre- and low-code existing buildings that suffered heavy damage or collapse due to the intensity of individual earthquakes and the cumulative effect of repeated damaging shocks. The present article picks up on these topics and uses probabilistic seismic hazard, as well as the multitude of strong ground motion recordings available from the sequence, to provide a discussion on certain issues, that are all related to the topical subject of seismic actions. These issues are: (1) the unsurprising exceedance of code spectra in the epicentral areas of strong earthquakes; (2) the particular spectral shape and damaging potential of near-source, pulse-like, ground motions, possibly related to rupture directivity; and (3) structural non-linear behaviour in the wake of a sequence that produces repeated strong shaking without the necessary respite for repair and retrofit operations.", "keywords": ["Geophysics", "Seismic Hazard", "Pulse-like ground motion", "Cumulative damage", "0211 other engineering and technologies", "Cumulative damage; Pulse-like ground motion; Seismic hazard; Civil and Structural Engineering; Building and Construction; Geotechnical Engineering and Engineering Geology; Geophysics", "Building and Construction", "02 engineering and technology", "Geotechnical Engineering and Engineering Geology", "Seismic hazard", "Civil and Structural Engineering"]}, "links": [{"href": "http://link.springer.com/content/pdf/10.1007/s10518-017-0295-3.pdf"}, {"href": "https://doi.org/10.1007/s10518-017-0295-3"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Bulletin%20of%20Earthquake%20Engineering", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10518-017-0295-3", "name": "item", "description": "10.1007/s10518-017-0295-3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10518-017-0295-3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-12-09T00:00:00Z"}}, {"id": "10.1016/j.jappgeo.2020.103987", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:16:23Z", "type": "Journal Article", "created": "2020-03-04", "title": "Paleotopography continues to drive surface to deep-layer interactions in a subtropical Critical Zone Observatory", "description": "Abstract Subsurface critical zone structures (SCZS) refer to the spatial variation in the interactive layers underground. Although SCZS greatly affect terrestrial biogeochemical and hydrological cycles, underpinning mechanisms are poorly documented. Herein, we characterized the SCZS of a typical red soil in subtropical China, a type of soil with vast global distribution. The thickness information of three layers was derived from hand augers, boreholes and ground-penetrating radar (GPR) radargrams and incorporated into geographically weighted regression (GWR) models for the reconstruction of paleotopography (Cretaceous sandstone). The interpreted GPR results in terms of thicknesses and interfaces for the three layers were consistent with the borehole logs. The trained GWR models accounted for 43%\u201377% of the spatial variations in the three layers. The paleotopographic elevations were highly correlated with those of the current land surface (r\u00a0=\u00a00.85). Spatial analysis showed that the rougher paleotopography was inherited by the current landform. The SCZS evolution involving mainly the mantling covered by Quaternary red clay (QRC) was primarily driven by terrain attributes. These findings may enhance our understanding of the interaction between the paleoclimate and paleoenvironment. The combination of geophysical techniques, geochemical indicators and spatial prediction techniques provides an effective tool for understanding QRC landform evolution.", "keywords": ["paleotopography", "landscape evolution", "550", "01 natural sciences", "CHINA", "Ground-penetrating radar", "THICKNESS", "EARTH", "QE", "NE/N007611/1", "SOIL-WATER STORAGE", "GEOGRAPHICALLY WEIGHTED REGRESSION", "0105 earth and related environmental sciences", "critical zone", "ground-penetrating radar", "Natural Environment Research Council (NERC)", "Critical zone", "CONSTRAINTS", "15. Life on land", "Landscape evolution", "EVOLUTION", "SOUTHERN", "QE Geology", "Geophysics", "Paleotopography", "13. Climate action", "Red Soil Critical Zone Observatory", "QUATERNARY RED CLAY"]}, "links": [{"href": "https://doi.org/10.1016/j.jappgeo.2020.103987"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Applied%20Geophysics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jappgeo.2020.103987", "name": "item", "description": "10.1016/j.jappgeo.2020.103987", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jappgeo.2020.103987"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-04-01T00:00:00Z"}}, {"id": "10.1029/2018jg004795", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:17:27Z", "type": "Journal Article", "created": "2019-04-09", "title": "Comparison With Global Soil Radiocarbon Observations Indicates Needed Carbon Cycle Improvements in the E3SM Land Model", "description": "Abstract

We evaluated global soil organic carbon (SOC) stocks and turnover time predictions from a global land model (ELMv1\uffe2\uff80\uff90ECA) integrated in an Earth System Model (E3SM) by comparing them with observed soil bulk and \uffce\uff9414C values around the world. We analyzed observed and simulated SOC stocks and \uffce\uff9414C values using machine learning methods at the Earth System Model grid cell scale (~200\uffc2\uffa0km). In grid cells with sufficient observations, the model provided reasonable estimates of soil carbon stocks across soil depth and \uffce\uff9414C values near the surface but underestimated \uffce\uff9414C at depth. Among many explanatory variables, soil albedo index, soil order, plant function type, air temperature, and SOC content were major factors affecting predicted SOC \uffce\uff9414C values. The influences of soil albedo index, soil order, and air temperature were primarily important in the shallow subsurface (\uffe2\uff89\uffa430\uffc2\uffa0cm). We also performed sensitivity studies using different vertical root distributions and decomposition turnover times and compared to observed SOC stock and \uffce\uff9414C profiles. The analyses support the role of vegetation in affecting soil carbon turnover, particularly in deep soil, possibly through supplying fresh carbon and degrading physical\uffe2\uff80\uff90chemical protection of SOC via root activities. Allowing for grid cell\uffe2\uff80\uff90specific rooting and decomposition rates substantially reduced discrepancies between observed and predicted \uffce\uff9414C values and SOC content. Our results highlight the need for more explicit representation of roots, microbes, and soil physical protection in land models.Here we focus on a basic statistical measure of earthquake catalogs that has not been studied before, the asymmetry of interevent time series (e.g., reflecting the tendency to have more aftershocks than spontaneous earthquakes). We define the asymmetry metric as the ratio between the number of positive interevent time increments minus negative increments and the total (positive plus negative) number of increments. Such asymmetry commonly exists in time series data for nonlinear geophysical systems like river flow which decays slowly and increases rapidly. We find that earthquake interevent time series are significantly asymmetric, where the asymmetry function exhibits a significant crossover to weak asymmetry at large lag index. We suggest that the Omori law can be associated with the large asymmetry at short time intervals below the crossover whereas overlapping aftershock sequences and the spontaneous events can be associated with a fast decay of asymmetry above the crossover. We show that the asymmetry is better reproduced by a recently modified Epidemic\uffe2\uff80\uff90Type Aftershock Sequence (ETAS) model with two triggering processes in comparison to the standard ETAS model which only has one.

", "keywords": ["Physics - Geophysics", "0103 physical sciences", "FOS: Physical sciences", "01 natural sciences", "Geophysics (physics.geo-ph)"]}, "links": [{"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2021JB022454"}, {"href": "https://doi.org/10.1029/2021jb022454"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geophysical%20Research%3A%20Solid%20Earth", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1029/2021jb022454", "name": "item", "description": "10.1029/2021jb022454", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1029/2021jb022454"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-09-01T00:00:00Z"}}, {"id": "10.1029/2022gl098700", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:17:28Z", "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.Branching river networks are prominent features of the Earth's surface, but the mechanisms that create branching river networks patterns remain elusive. Recent studies have suggested that climate, tectonics, and lithology may control both longitudinal profiles of channel incision and the planform geometry of stream networks. Here we show, by analyzing almost 1 million river junctions and over 4.2 million groundwater wells across the contiguous United States, that stream network branching angles vary systematically with the degree to which streams lose water to, or gain water from, nearby groundwater aquifers. Streams whose surfaces lie above nearby groundwater levels, and thus are likely to be losing flow to underlying aquifers, tend to have narrower branching angles than streams that lie below nearby groundwater levels, and thus are likely to gain flow from groundwater. This systematic relationship persists across several stream orders, and across a wide range in channel gradients.To improve the predictive capability of ecosystem biogeochemical models (EBMs), we discuss the feasibility of formulating biogeochemical processes using physical rules that have underpinned the many successes in computational physics and chemistry. We argue that the currently popular empirically based approaches, such as multiplicative empirical response functions and the law of the minimum, will not lead to EBM formulations that can be continuously refined to incorporate improved mechanistic understanding and empirical observations of biogeochemical processes. Instead, we propose that EBM parameterizations, as a lossy data compression problem, can be better formulated using established physical rules widely used in computational physics and chemistry, and different biogeochemical processes can be more robustly integrated within a reactive\uffe2\uff80\uff90transport framework. Through several examples, we demonstrate how mathematical representations derived from physical rules can improve understanding of relevant biogeochemical processes and enable more effective communication between modelers, observationalists, and experimentalists regarding essential questions, such as what measurements are needed to meaningfully inform models and how can models generate new process\uffe2\uff80\uff90level hypotheses to test in empirical studies. Finally, while empirical models with more parameters are often less robust, physical rules\uffe2\uff80\uff90based models can be more robust and show lower predictive equifinality, stemming from their enhanced consistency in representations of processes, interactions and spatial scaling.In subsurface environments, incomplete mixing at the pore scale limits reaction rates, rendering their prediction by Darcy\uffe2\uff80\uff90scale models challenging. Such pore scale concentration gradients are enhanced by the deformation of solute fronts and decay under the action of molecular diffusion and solute filament merging. It is currently unclear how these processes govern concentration gradient dynamics under different flow rates. We measure experimentally pore scale concentrations in solute fronts transported in a two\uffe2\uff80\uff90dimensional porous micromodel over an extensive range of flow rates. We demonstrate that pore\uffe2\uff80\uff90scale shear flow increases concentration gradients up to a time predicted by the lamellar mixing theory in shear flow. However, the flow rate\uffe2\uff80\uff90dependency of the mean concentration gradient at this so\uffe2\uff80\uff90called mixing time is weaker than predicted theoretically, a discrepancy which we explain quantitatively by accounting for lamellae aggregation. These findings shed new light on the pore\uffe2\uff80\uff90scale mechanisms driving mixing dynamics in porous media.Branching river networks are prominent features of the Earth's surface, but the mechanisms that create branching river networks patterns remain elusive. Recent studies have suggested that climate, tectonics, and lithology may control both longitudinal profiles of channel incision and the planform geometry of stream networks. Here we show, by analyzing almost 1 million river junctions and over 4.2 million groundwater wells across the contiguous United States, that stream network branching angles vary systematically with the degree to which streams lose water to, or gain water from, nearby groundwater aquifers. Streams whose surfaces lie above nearby groundwater levels, and thus are likely to be losing flow to underlying aquifers, tend to have narrower branching angles than streams that lie below nearby groundwater levels, and thus are likely to gain flow from groundwater. This systematic relationship persists across several stream orders, and across a wide range in channel gradients. &lt;p&gt;Understanding the initial and flow conditions of contemporary flows in Martian gullies, generally believed to be triggered and fluidized by CO&lt;sub&gt;2&lt;/sub&gt; sublimation, is crucial for deciphering climate conditions needed to trigger and sustain them. We employ the RAMMS (RApid Mass Movement Simulation) debris flow and avalanche model to back-calculate initial and flow conditions of recent flows in three gullies in Hale crater. We infer minimum release depths of 1.0&amp;#8211;1.5 m and initial release volumes of 100&amp;#8211;200 m&lt;sup&gt;3&lt;/sup&gt;. Entrainment leads to final flow volumes that are 2.5&amp;#8211;5.5 times larger than initially released, and entrainment is found necessary to match the observed flow deposits. Simulated mean cross-channel flow velocities decrease from 3&amp;#8211;4 m s&lt;sup&gt;-1&lt;/sup&gt; to ~1 m s&lt;sup&gt;-1&lt;/sup&gt; from release area to flow terminus, while flow depths generally decrease from 0.5&amp;#8211;1 m to 0.1&amp;#8211;0.2 m. The mean cross-channel erosion depth and deposition thicknesses are _0.1&amp;#8211;0.3 m. Back-calculated dry-Coulomb friction ranges from 0.1 to 0.25 and viscous turbulent friction between 100&amp;#8211;200 m s&lt;sup&gt;-2&lt;/sup&gt;, which are values similar to those of granular debris flows on Earth. These results suggest that recent flows in gullies are fluidized to a similar degree as are granular debris flows on Earth. Using a novel model for mass-flow fluidization by CO&lt;sub&gt;2&lt;/sub&gt; sublimation we are able to show that under Martian atmospheric conditions very small volumetric fractions of CO&lt;sub&gt;2&lt;/sub&gt; of ~1% within mass flows may indeed yield sufficiently large gas fluxes to cause fluidization and enhance flow mobility.&lt;/p&gt;

", "keywords": ["Atmospheric Science", "550", "[SDU.STU.GM] Sciences of the Universe [physics]/Earth Sciences/Geomorphology", "0211 other engineering and technologies", "Soil Science", "Mars", "Hale crater", "02 engineering and technology", "Aquatic Science", "carbon dioxide; gullies; Hale crater; Mars; modeling; RAMMS", "551", "Oceanography", "01 natural sciences", "[SDU.STU.PL]Sciences of the Universe [physics]/Earth Sciences/Planetology", "Geochemistry and Petrology", "Earth and Planetary Sciences (miscellaneous)", "SDG 13 - Climate Action", "Research Articles", "Water Science and Technology", "Earth-Surface Processes", "0105 earth and related environmental sciences", "Ecology", "Palaeontology", "carbon dioxide", "Forestry", "modeling", "RAMMS", "Geophysics", "Space and Planetary Science", "13. Climate action", "[SDU.STU.PL] Sciences of the Universe [physics]/Earth Sciences/Planetology", "gullies"]}, "links": [{"href": "http://dro.dur.ac.uk/28802/1/28802.pdf"}, {"href": "http://dro.dur.ac.uk/28802/2/28802.pdf"}, {"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2018JE005899"}, {"href": "https://doi.org/10.1029/2018JE005899"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geophysical%20Research%3A%20Planets", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1029/2018JE005899", "name": "item", "description": "10.1029/2018JE005899", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1029/2018JE005899"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-08-01T00:00:00Z"}}, {"id": "10.1038/s41467-018-07191-0", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:17:33Z", "type": "Journal Article", "created": "2018-11-09", "title": "Martian magmatism from plume metasomatized mantle.", "description": "Abstract

Direct analysis of the composition of Mars is possible through delivery of meteorites to Earth. Martian meteorites include \uffe2\uff88\uffbc165 to 2400\uffe2\uff80\uff89Ma shergottites, originating from depleted to enriched mantle sources, and \uffe2\uff88\uffbc1340\uffe2\uff80\uff89Ma nakhlites and chassignites, formed by low degree partial melting of a depleted mantle source. To date, no unified model has been proposed to explain the petrogenesis of these distinct rock types, despite their importance for understanding the formation and evolution of Mars. Here we report a coherent geochemical dataset for shergottites, nakhlites and chassignites revealing fundamental differences in sources. Shergottites have lower Nb/Y at a given Zr/Y than nakhlites or chassignites, a relationship nearly identical to terrestrial Hawaiian main shield and rejuvenated volcanism. Nakhlite and chassignite compositions are consistent with melting of hydrated and metasomatized depleted mantle lithosphere, whereas shergottite melts originate from deep mantle sources. Generation of martian magmas can be explained by temporally distinct melting episodes within and below dynamically supported and variably metasomatized lithosphere, by long-lived, static mantle plumes.

", "keywords": ["0301 basic medicine", "550", "SM-ND", "Science", "Astronomical Sciences", "ISOTOPIC SYSTEMATICS", "DEPLETED MANTLE", "01 natural sciences", "Article", "DIFFERENTIATION HISTORY", "03 medical and health sciences", "MAUNA-KEA VOLCANO", "REJUVENATED VOLCANISM", "0105 earth and related environmental sciences", "RB-SR", "Q", "500", "MARS", "Geology", "Geochemistry", "Geophysics", "13. Climate action", "Physical Sciences", "Earth Sciences", "HAWAIIAN HOT-SPOT", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "MIDOCEAN RIDGE BASALT"]}, "links": [{"href": "https://www.nature.com/articles/s41467-018-07191-0.pdf"}, {"href": "https://escholarship.org/content/qt7g21x5tx/qt7g21x5tx.pdf"}, {"href": "https://doi.org/10.1038/s41467-018-07191-0"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Communications", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41467-018-07191-0", "name": "item", "description": "10.1038/s41467-018-07191-0", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41467-018-07191-0"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-11-15T00:00:00Z"}}, {"id": "10.1109/jstars.2019.2958847", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:18:21Z", "type": "Journal Article", "created": "2020-01-22", "title": "Sentinel-1 InSAR Coherence for Land Cover Mapping: A Comparison of Multiple Feature-Based Classifiers", "description": "Open AccessThis article investigates and demonstrates the suitability of the Sentinel-1 interferometric coherence for land cover and vegetation mapping. In addition, this study analyzes the performance of this feature along with polarization and intensity products according to different classification strategies and algorithms. Seven different classification workflows were evaluated, covering pixel- and object-based analyses, unsupervised and supervised classification, different machine-learning classifiers, and the various effects of distinct input features in the SAR domain\u2014interferometric coherence, backscattered intensities, and polarization. All classifications followed the Corine land cover nomenclature. Three different study areas in Europe were selected during 2015 and 2016 campaigns to maximize diversity of land cover. Overall accuracies (OA), ranging from 70% to 90%, were achieved depending on the study area and methodology, considering between 9 and 15 classes. The best results were achieved in the rather flat area of Do\u00f1ana wetlands National Park in Spain (OA 90%), but even the challenging alpine terrain around the city of Merano in northern Italy (OA 77%) obtained promising results. The overall potential of Sentinel-1 interferometric coherence for land cover mapping was evaluated as very good. In all cases, coherence-based results provided higher accuracies than intensity-based strategies, considering 12 days of temporal sampling of the Sentinel-1 A stack. Both coherence and intensity prove to be complementary observables, increasing the overall accuracies in a combined strategy. The accuracy is expected to increase when Sentinel-1 A/B stacks, i.e., six-day sampling, are considered.", "keywords": ["Teledetecci\u00f3", "550", "Interferometric coherence", "Geophysics. Cosmic physics", "ta1171", "0211 other engineering and technologies", "02 engineering and technology", "01 natural sciences", "land cover mapping", "ta216", "TC1501-1800", "[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing", "SDG 15 - Life on Land", "0105 earth and related environmental sciences", "ta213", "QC801-809", "[SPI.ELEC] Engineering Sciences [physics]/Electromagnetism", "interferometric coherence", "Remote sensing", "synthetic aperture radar (SAR)", "15. Life on land", "[SPI.TRON] Engineering Sciences [physics]/Electronics", "SDG 11 - Sustainable Cities and Communities", "[SPI.TRON]Engineering Sciences [physics]/Electronics", "Ocean engineering", "Synthetic aperture radar (SAR)", "[SPI.ELEC]Engineering Sciences [physics]/Electromagnetism", "\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", "Teor\u00eda de la Se\u00f1al y Comunicaciones", "Sentinel-1", "[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing", "Land cover mapping", "Copernicus"]}, "links": [{"href": "https://doi.org/10.1109/jstars.2019.2958847"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/IEEE%20Journal%20of%20Selected%20Topics%20in%20Applied%20Earth%20Observations%20and%20Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1109/jstars.2019.2958847", "name": "item", "description": "10.1109/jstars.2019.2958847", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1109/jstars.2019.2958847"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.1109/jstars.2024.3422494", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:18:21Z", "type": "Journal Article", "created": "2024-07-03", "title": "Soil Texture and pH Mapping Using Remote Sensing and Support Sampling", "description": "Soil pH and texture are valuable information for agriculture, supporting the achievement of high productivity and low environmental impact, which is the basis for sustainable agricultural production. In this study, we present novel soil mapping techniques that integrate high-spatial-resolution satellite and ground data, surpassing traditional methods in precision and reliability. By synergizing remote sensing data, including polarimetric synthetic aperture and multispectral imagery, with climate and terrain information, alongside coarse-resolution soil data, we achieved high accuracy, with an average error of less than 6%, in predicting soil pH and texture parameters. Notably, the approach allows for detailed mapping at the pixel level, revealing nuanced variability within 10×10 m field pixels. Considering the accuracy, the method establishes itself as a benchmark for field management guidelines integrating a precision sampling approach, offering actual and high spatial resolution information crucial for sustainable agricultural practices. This holistic approach allows new opportunities to revolutionize soil management practices, facilitating variable rate applications, soil moisture, and fertilization mapping and ultimately enhancing agri-environmental sustainability.", "keywords": ["2. Zero hunger", "precision agriculture", "STEROPES", "soil health", "QC801-809", "Geophysics. Cosmic physics", "Machine learning (ML)", "04 agricultural and veterinary sciences", "Remote sensing", "15. Life on land", "01 natural sciences", "soil mapping", "12. Responsible consumption", "Machine Learning", "Ocean engineering", "remote sensing", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "TC1501-1800", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Y\u00fcz\u00fcg\u00fcll\u00fc, Onur, Fajraoui, Noura, Liebisch, Frank,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1109/jstars.2024.3422494"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/IEEE%20Journal%20of%20Selected%20Topics%20in%20Applied%20Earth%20Observations%20and%20Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1109/jstars.2024.3422494", "name": "item", "description": "10.1109/jstars.2024.3422494", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1109/jstars.2024.3422494"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.1103/physrevresearch.2.013264", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:18:19Z", "type": "Journal Article", "created": "2020-03-09", "title": "Scaling laws in earthquake memory for interevent times and distances", "description": "Over the past decades much effort has been devoted towards understanding and forecasting natural hazards. However, earthquake forecasting skill is still very limited and remains a great scientific challenge. The limited earthquake predictability is partly due to the erratic nature of earthquakes and partly to the lack of understanding the underlying mechanisms of earthquakes. To improve our understanding and potential forecasting, here we study the spatial and temporal long-term memory of interevent earthquakes above a certain magnitude using lagged conditional probabilities. We find, in real data, that the lagged conditional probabilities show long-term memory for both the interevent times and interevent distances and that the memory functions obey scaling and decay slowly with time, while, at a characteristic time, the decay crossesover to a fast decay. We also show that the ETAS model, which is often used to forecast earthquake events, yields scaling functions of the temporal and spatial interevent intervals which are not consistent with those of real data.", "keywords": ["Physics - Geophysics", "Physics - Physics and Society", "550", "13. Climate action", "Physics", "QC1-999", "0103 physical sciences", "500", "FOS: Physical sciences", "Physics and Society (physics.soc-ph)", "01 natural sciences", "Geophysics (physics.geo-ph)"]}, "links": [{"href": "https://doi.org/10.1103/physrevresearch.2.013264"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Physical%20Review%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1103/physrevresearch.2.013264", "name": "item", "description": "10.1103/physrevresearch.2.013264", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1103/physrevresearch.2.013264"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-03-05T00:00:00Z"}}, {"id": "10.1177/0959683619826637", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:19:09Z", "type": "Journal Article", "created": "2019-02-15", "title": "Holocene demographic fluctuations, climate and erosion in the Mediterranean: A meta data-analysis", "description": "

As part of the Changing the Face of the Mediterranean Project, we consider how human pressure and concomitant erosion has affected a range of Mediterranean landscapes between the Neolithic and, in some cases, the post-medieval period. Part of this assessment comprises an investigation of relationships among palaeodemographic data, evidence for vegetation change and some consideration of rapid climate change events. The erosion data include recent or hitherto unpublished work from the authors. Where possible, we consider summed probabilities of 14C dates as well as the first published synthesis of all known optically stimulated luminescence dated sequences. The results suggest that while there were some periods when erosion took place contemporaneously across a number of regions, possibly induced by climate changes, more often than not, we see a complex and heterogeneous interplay of demographic and environmental changes that result in a mixed pattern of erosional activity across the Mediterranean.

", "keywords": ["[SDE] Environmental Sciences", "demography", "human impact", "550", "[SDU.STU.GM] Sciences of the Universe [physics]/Earth Sciences/Geomorphology", "[SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph]", "[SDE.MCG]Environmental Sciences/Global Changes", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "Mediterranean", "01 natural sciences", "[SDU] Sciences of the Universe [physics]", "[SDE.ES] Environmental Sciences/Environment and Society", "0601 history and archaeology", "[SDU.STU.GM]Sciences of the Universe [physics]/Earth Sciences/Geomorphology", "[SDE.ES]Environmental Sciences/Environment and Society", "demography; erosion; geoarchaeology; Holocene; human impact; Mediterranean", "0105 earth and related environmental sciences", "Holocene", "06 humanities and the arts", "15. Life on land", "erosion", "[SDE.MCG] Environmental Sciences/Global Changes", "[SDU]Sciences of the Universe [physics]", "13. Climate action", "[SDE]Environmental Sciences", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "[SDU.STU.GP] Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph]", "geoarchaeology"]}, "links": [{"href": "https://iris.unito.it/bitstream/2318/1858935/2/Walsh_etal_2019.pdf"}, {"href": "http://journals.sagepub.com/doi/pdf/10.1177/0959683619826637"}, {"href": "https://doi.org/10.1177/0959683619826637"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20Holocene", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1177/0959683619826637", "name": "item", "description": "10.1177/0959683619826637", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1177/0959683619826637"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-02-14T00:00:00Z"}}, {"id": "10.1785/0220200231", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:19:29Z", "type": "Journal Article", "created": "2021-02-20", "title": "The Effect of Declustering on the Size Distribution of Mainshocks", "description": "Abstract

Declustering aims to divide earthquake catalogs into independent events (mainshocks), and dependent (clustered) events, and is an integral component of many seismicity studies, including seismic hazard assessment. We assess the effect of declustering on the frequency\uffe2\uff80\uff93magnitude distribution of mainshocks. In particular, we examine the dependence of the b-value of declustered catalogs on the choice of declustering approach and algorithm-specific parameters. Using the catalog of earthquakes in California since 1980, we show that the b-value decreases by up to 30% due to declustering with respect to the undeclustered catalog. The extent of the reduction is highly dependent on the declustering method and parameters applied. We then reproduce a similar effect by declustering synthetic earthquake catalogs with known b-value, which have been generated using an epidemic-type aftershock sequence model. Our analysis suggests that the observed decrease in b-value must, at least partially, arise from the application of the declustering algorithm on the catalog, rather than from differences in the nature of mainshocks versus fore- or aftershocks. We conclude that declustering should be considered as a potential source of bias in seismicity and hazard studies.

", "keywords": ["Physics - Geophysics", "13. Climate action", "FOS: Physical sciences", "01 natural sciences", "Geophysics (physics.geo-ph)", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1785/0220200231"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Seismological%20Research%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1785/0220200231", "name": "item", "description": "10.1785/0220200231", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1785/0220200231"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-02-17T00:00:00Z"}}, {"id": "10.22541/essoar.169625599.92822380/v1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:15Z", "type": "Journal Article", "created": "2024-06-05", "title": "Feasibility of Formulating Ecosystem Biogeochemical Models From Established Physical Rules", "description": "Abstract

To improve the predictive capability of ecosystem biogeochemical models (EBMs), we discuss the feasibility of formulating biogeochemical processes using physical rules that have underpinned the many successes in computational physics and chemistry. We argue that the currently popular empirically based approaches, such as multiplicative empirical response functions and the law of the minimum, will not lead to EBM formulations that can be continuously refined to incorporate improved mechanistic understanding and empirical observations of biogeochemical processes. Instead, we propose that EBM parameterizations, as a lossy data compression problem, can be better formulated using established physical rules widely used in computational physics and chemistry, and different biogeochemical processes can be more robustly integrated within a reactive\uffe2\uff80\uff90transport framework. Through several examples, we demonstrate how mathematical representations derived from physical rules can improve understanding of relevant biogeochemical processes and enable more effective communication between modelers, observationalists, and experimentalists regarding essential questions, such as what measurements are needed to meaningfully inform models and how can models generate new process\uffe2\uff80\uff90level hypotheses to test in empirical studies. Finally, while empirical models with more parameters are often less robust, physical rules\uffe2\uff80\uff90based models can be more robust and show lower predictive equifinality, stemming from their enhanced consistency in representations of processes, interactions and spatial scaling.The concept of marginal land (ML) is dynamic and depends on various factors related to the environment, climate, scale,culture, and economic sector. The current methods for identifying ML are diverse, they employ multiple parameters andvariables derived from land use and land cover, and mostly reflect specific management purposes. A methodologicalapproach for the identification of marginal lands using remote sensing and ancillary data products and validated on samplesfrom four European countries (i.e., Germany, Spain, Greece, and Poland) is presented in this paper. The methodologyproposed combines land use and land cover data sets as excluding indicators (forest, croplands, protected areas,impervious areas, land-use change, water bodies, and permanent snow areas) and environmental constraints informationas marginality indicators: (i) physical soil properties, in terms of slope gradient, erosion, soil depth, soil texture, percentageof coarse soil texture fragments, etc.; (ii) climatic factors e.g. aridity index; (iii) chemical soil properties, including soil pH,cation exchange capacity, contaminants, and toxicity, among others. This provides a common vision of marginality thatintegrates a multidisciplinary approach. To determine the ML, we first analyzed the excluding indicators used to delimit theareas with defined land use. Then, thresholds were determined for each marginality indicator through which the landproductivity progressively decreases. Finally, the marginality indicator layers were combined in Google Earth Engine. Theresult was categorized into 3 levels of productivity of ML: high productivity, low productivity, and potentially unsuitable land.The results obtained indicate that the percentage of marginal land per country is 11.64% in Germany, 19.96% in Spain,18.76% in Greece, and 7.18% in Poland. The overall accuracies obtained per country were 60.61% for Germany, 88.87%for Spain, 71.52% for Greece, and 90.97% for Poland.

", "keywords": ["Cartography", "Land cover", "Cultural Heritage", "Cobertura de suelo", "3D Modelling", "11. Sustainability", "Teledetecci\u00f3n", "Environmental applications", "Uso de suelo", "2. Zero hunger", "Earth observation", "Tierra abandonada", "Remote sensing", "15. Life on land", "GIS", "SIG", "Geophysics", "Idle land", "13. Climate action", "Degradaci\u00f3n del suelo", "Land use", "Land degradation", "land use", " land cover", " idle land", " land degradation", " GIS", " remote sensing", " Google Earth Engine", "Geocomputing", "Google Earth Engine", "Geodesy"]}, "links": [{"href": "https://doi.org/10.4995/cigeo2021.2021.12729"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20-%203rd%20Congress%20in%20Geomatics%20Engineering%20-%20CIGeo", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.4995/cigeo2021.2021.12729", "name": "item", "description": "10.4995/cigeo2021.2021.12729", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.4995/cigeo2021.2021.12729"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-07-07T00:00:00Z"}}, {"id": "10.3389/frwa.2021.767910", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:34Z", "type": "Journal Article", "created": "2021-12-14", "title": "Combining Models of Root-Zone Hydrology and Geoelectrical Measurements: Recent Advances and Future Prospects", "description": "

Recent advances in measuring and modeling root water uptake along with refined electrical petrophysical models may help fill the existing gap in hydrological root model parametrization. In this paper, we discuss the choices to be made to combine root-zone hydrology and geoelectrical data with the aim of characterizing the active root zone. For each model and observation type we discuss sources of uncertainty and how they are commonly addressed in a stochastic inversion framework. We point out different degrees of integration in the existing hydrogeophysical approaches to parametrize models of root-zone hydrology. This paper aims at giving emphasis to stochastic approaches, in particular to Data Assimilation (DA) schemes, that are generally identified as the best way to combine geoelectrical data with Root Water Uptake (RWU) models. In addition, the study points out a more suitable objective function taken from the optimal transport theory that better captures complex geometry of root systems. Another pathway for improvement of geoelectrical data integration into RWU models using DA relies on the use of stem based methods as a leverage to introduce more extensive root knowledge into RWU macroscopic hydrological models.

", "keywords": ["hydrogeophysics", "0208 environmental biotechnology", "0207 environmental engineering", "02 engineering and technology", "data assimilation; geoelectrical imaging; hydrogeophysics; inversion; root water uptake; soil-plant modeling; Wasserstein distance", "Environmental technology. Sanitary engineering", "root water uptake", "Hydrogeophysics", "inversion", "geoelectrical imaging", "soil-plant modeling", "Wasserstein distance", "data assimilation", "TD1-1066"]}, "links": [{"href": "https://www.research.unipd.it/bitstream/11577/3410667/1/frwa-03-767910.pdf"}, {"href": "https://doi.org/10.3389/frwa.2021.767910"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/frwa.2021.767910", "name": "item", "description": "10.3389/frwa.2021.767910", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/frwa.2021.767910"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-14T00:00:00Z"}}, {"id": "10.3929/ethz-b-000636575", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:44Z", "type": "Journal Article", "created": "2023-10-06", "title": "Groundwater's Fingerprint in Stream Network Branching Angles", "description": "Abstract

Branching river networks are prominent features of the Earth's surface, but the mechanisms that create branching river networks patterns remain elusive. Recent studies have suggested that climate, tectonics, and lithology may control both longitudinal profiles of channel incision and the planform geometry of stream networks. Here we show, by analyzing almost 1 million river junctions and over 4.2 million groundwater wells across the contiguous United States, that stream network branching angles vary systematically with the degree to which streams lose water to, or gain water from, nearby groundwater aquifers. Streams whose surfaces lie above nearby groundwater levels, and thus are likely to be losing flow to underlying aquifers, tend to have narrower branching angles than streams that lie below nearby groundwater levels, and thus are likely to gain flow from groundwater. This systematic relationship persists across several stream orders, and across a wide range in channel gradients.In recent years, Remote Sensing (RS) and its derived products have been used as a key tool for the detection, monitoring,management and future use of Marginal Lands (ML). Currently, there is no single, universally accepted definition of theterm and there is a wide variety of synonyms. In this paper, we conduct a compilation of synonyms and meanings thatencompass the term, as well as propose a definition. To reach this objective, an overview of the state of the art of ML isdone, visualising trends by science maps, based on bibliographic data of established research journals, found in GoogleScholar, Web of Science (WoS) and Scopus search engines. The bibliographic review carried out shows that the study ofML has traditionally been carried out with an ad hoc basis focused on the objective to be achieved, this aspect and otherknowledge gaps are discussed to analyse the global study of ML. Due to the broad spectrum of uses in which ML havebeen studied, the work has been focused on RS for monitoring and characterizing ML, focusing on two different aspects:(i) satellite monitoring of marginal lands; and (ii) determining carbon sequestration potential of marginal lands using remotesensing.

", "keywords": ["Cartography", "Carbon sequestration", "Earth observation", "Uso del suelo", "Cultural Heritage", "Marginal lands", "Remote sensing", "15. Life on land", "12. Responsible consumption", "3D Modelling", "Geophysics", "Captura de carbono", "13. Climate action", "Land use", "11. Sustainability", "Teledetecci\u00f3n", "Tierras marginales", "marginal lands", " remote sensing", " carbon sequestration", " land use", "Geocomputing", "Environmental applications", "Geodesy"]}, "links": [{"href": "https://doi.org/10.4995/cigeo2021.2021.12694"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20-%203rd%20Congress%20in%20Geomatics%20Engineering%20-%20CIGeo", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.4995/cigeo2021.2021.12694", "name": "item", "description": "10.4995/cigeo2021.2021.12694", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.4995/cigeo2021.2021.12694"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-07-07T00:00:00Z"}}, {"id": "10.5194/essd-10-405-2018", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:31Z", "type": "Journal Article", "created": "2018-03-12", "title": "Global Carbon Budget 2017", "description": "

Abstract. Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere \u2013 the global carbon budget \u2013 is important to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe data sets and methodology to quantify the five major components of the global carbon budget and their uncertainties. CO2 emissions from fossil fuels and industry (EFF) are based on energy statistics and cement production data, respectively, while emissions from land-use change (ELUC), mainly deforestation, are based on land-cover change data and bookkeeping models. The global atmospheric CO2 concentration is measured directly and its rate of growth (GATM) is computed from the annual changes in concentration. The ocean CO2 sink (SOCEAN) and terrestrial CO2 sink (SLAND) are estimated with global process models constrained by observations. The resulting carbon budget imbalance (BIM), the difference between the estimated total emissions and the estimated changes in the atmosphere, ocean, and terrestrial biosphere, is a measure of imperfect data and understanding of the contemporary carbon cycle. All uncertainties are reported as \u00b11\u03c3. For the last decade available (2007\u20132016), EFF was 9.4\u202f\u00b1\u202f0.5\u202fGtC\u202fyr\u22121, ELUC 1.3\u202f\u00b1\u202f0.7\u202fGtC\u202fyr\u22121, GATM 4.7\u202f\u00b1\u202f0.1\u202fGtC\u202fyr\u22121, SOCEAN 2.4\u202f\u00b1\u202f0.5\u202fGtC\u202fyr\u22121, and SLAND 3.0\u202f\u00b1\u202f0.8\u202fGtC\u202fyr\u22121, with a budget imbalance BIM of 0.6\u202fGtC\u202fyr\u22121 indicating overestimated emissions and/or underestimated sinks. For year 2016 alone, the growth in EFF was approximately zero and emissions remained at 9.9\u202f\u00b1\u202f0.5\u202fGtC\u202fyr\u22121. Also for 2016, ELUC was 1.3\u202f\u00b1\u202f0.7\u202fGtC\u202fyr\u22121, GATM was 6.1\u202f\u00b1\u202f0.2\u202fGtC\u202fyr\u22121, SOCEAN was 2.6\u202f\u00b1\u202f0.5\u202fGtC\u202fyr\u22121, and SLAND was 2.7\u202f\u00b1\u202f1.0\u202fGtC\u202fyr\u22121, with a small BIM of \u22120.3\u202fGtC. GATM continued to be higher in 2016 compared to the past decade (2007\u20132016), reflecting in part the high fossil emissions and the small SLAND consistent with El Ni\u00f1o conditions. The global atmospheric CO2 concentration reached 402.8\u202f\u00b1\u202f0.1\u202fppm averaged over 2016. For 2017, preliminary data for the first 6\u20139\u00a0months indicate a renewed growth in EFF of +2.0\u202f% (range of 0.8 to 3.0\u202f%) based on national emissions projections for China, USA, and India, and projections of gross domestic product (GDP) corrected for recent changes in the carbon intensity of the economy for the rest of the world. This living data update documents changes in the methods and data sets used in this new global carbon budget compared with previous publications of this data set (Le Qu\u00e9r\u00e9 et al., 2016, 2015b, a, 2014, 2013). All results presented here can be downloaded from https://doi.org/10.18160/GCP-2017 (GCP, 2017).

", "keywords": ["ENVIRONMENT SIMULATOR JULES", "550", "530 Physics", "[PHYS.PHYS.PHYS-GEO-PH] Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph]", "MIXED-LAYER SCHEME", "INTERNATIONAL-TRADE", "7. Clean energy", "01 natural sciences", "333", "12. Responsible consumption", "FOSSIL-FUEL COMBUSTION", "ANTHROPOGENIC CO2 UPTAKE", "11. Sustainability", "SDG 13 - Climate Action", "Life Science", "GE1-350", "SDG 14 - Life Below Water", "ATMOSPHERIC CO2", "DIOXIDE EMISSIONS", "SDG 15 - Life on Land", "0105 earth and related environmental sciences", "LAND-COVER CHANGE", "QE1-996.5", "info:eu-repo/classification/ddc/550", "EARTH SYSTEM MODEL", "ddc:550", "VEGETATION MODEL", "Geology", "15. Life on land", "Environmental sciences", "Earth sciences", "13. Climate action", "8. Economic growth", "General Earth and Planetary Sciences"]}, "links": [{"href": "https://ueaeprints.uea.ac.uk/id/eprint/66578/1/Published_manuscript.pdf"}, {"href": "http://oceanrep.geomar.de/42391/1/essd-10-405-2018.pdf"}, {"href": "https://boris.unibe.ch/116576/1/lequere18essd.pdf"}, {"href": "https://pure.iiasa.ac.at/id/eprint/15161/1/essd-10-405-2018.pdf"}, {"href": "http://pure.iiasa.ac.at/id/eprint/15161/1/essd-10-405-2018.pdf"}, {"href": "https://essd.copernicus.org/articles/10/405/2018/essd-10-405-2018.pdf"}, {"href": "https://doi.org/10.5194/essd-10-405-2018"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Earth%20System%20Science%20Data", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/essd-10-405-2018", "name": "item", "description": "10.5194/essd-10-405-2018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/essd-10-405-2018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-03-12T00:00:00Z"}}, {"id": "10.5194/gi-9-117-2020", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:32Z", "type": "Journal Article", "created": "2020-04-06", "title": "Evaluating the suitability of the consumer low-cost Parrot Flower Power soil moisture sensor for scientific environmental applications", "description": "

Abstract. Citizen science, scientific work and data collection conducted by or with non-experts, is rapidly growing. Although the potential of citizen science activities to generate enormous amounts of data otherwise not feasible is widely recognized, the obtained data are often treated with caution and scepticism. Their quality and reliability is not fully trusted since they are obtained by non-experts using low-cost instruments or scientifically non-verified methods. In this study, we evaluate the performance of Parrot's Flower Power soil moisture sensor used within the European citizen science project the GROW Observatory (GROW; https://growobservatory.org, last access: 30\u00a0March\u00a02020). The aim of GROW is to enable scientists to validate satellite-based soil moisture products at an unprecedented high spatial resolution through crowdsourced data. To this end, it has mobilized thousands of citizens across Europe in science and climate actions, including hundreds who have been empowered to monitor soil moisture and other environmental variables within 24 high-density clusters around Europe covering different climate and soil conditions. Clearly, to serve as reference dataset, the quality of ground observations is crucial, especially if obtained from low-cost sensors. To investigate the accuracy of such measurements, the Flower Power sensors were evaluated in the lab and field. For the field trials, they were installed alongside professional soil moisture probes in the Hydrological Open Air Laboratory (HOAL) in Petzenkirchen, Austria. We assessed the skill of the low-cost sensors against the professional probes using various methods. Apart from common statistical metrics like correlation, bias, and root-mean-square difference, we investigated and compared the temporal stability, soil moisture memory, and the flagging statistics based on the International Soil Moisture Network (ISMN) quality indicators. We found a low intersensor variation in the lab and a high temporal agreement with the professional sensors in the field. The results of soil moisture memory and the ISMN quality flags analysis are in a comparable range for the low-cost and professional probes; only the temporal stability analysis shows a contrasting outcome. We demonstrate that low-cost sensors can be used to generate a dataset valuable for environmental monitoring and satellite validation and thus provide the basis for citizen-based soil moisture science.

", "keywords": ["QC801-809", "13. Climate action", "0103 physical sciences", "Geophysics. Cosmic physics", "0207 environmental engineering", "02 engineering and technology", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.5194/gi-9-117-2020"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Instrumentation%2C%20Methods%20and%20Data%20Systems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/gi-9-117-2020", "name": "item", "description": "10.5194/gi-9-117-2020", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/gi-9-117-2020"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-11-05T00:00:00Z"}}, {"id": "10.5194/gi-2019-38", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:32Z", "type": "Journal Article", "created": "2020-04-06", "title": "Evaluating the suitability of the consumer low-cost Parrot Flower Power soil moisture sensor for scientific environmental applications", "description": "

Abstract. Citizen science, scientific work and data collection conducted by or with non-experts, is rapidly growing. Although the potential of citizen science activities to generate enormous amounts of data otherwise not feasible is widely recognized, the obtained data are often treated with caution and scepticism. Their quality and reliability is not fully trusted since they are obtained by non-experts using low-cost instruments or scientifically non-verified methods. In this study, we evaluate the performance of Parrot's Flower Power soil moisture sensor used within the European citizen science project the GROW Observatory (GROW; https://growobservatory.org, last access: 30\u00a0March\u00a02020). The aim of GROW is to enable scientists to validate satellite-based soil moisture products at an unprecedented high spatial resolution through crowdsourced data. To this end, it has mobilized thousands of citizens across Europe in science and climate actions, including hundreds who have been empowered to monitor soil moisture and other environmental variables within 24 high-density clusters around Europe covering different climate and soil conditions. Clearly, to serve as reference dataset, the quality of ground observations is crucial, especially if obtained from low-cost sensors. To investigate the accuracy of such measurements, the Flower Power sensors were evaluated in the lab and field. For the field trials, they were installed alongside professional soil moisture probes in the Hydrological Open Air Laboratory (HOAL) in Petzenkirchen, Austria. We assessed the skill of the low-cost sensors against the professional probes using various methods. Apart from common statistical metrics like correlation, bias, and root-mean-square difference, we investigated and compared the temporal stability, soil moisture memory, and the flagging statistics based on the International Soil Moisture Network (ISMN) quality indicators. We found a low intersensor variation in the lab and a high temporal agreement with the professional sensors in the field. The results of soil moisture memory and the ISMN quality flags analysis are in a comparable range for the low-cost and professional probes; only the temporal stability analysis shows a contrasting outcome. We demonstrate that low-cost sensors can be used to generate a dataset valuable for environmental monitoring and satellite validation and thus provide the basis for citizen-based soil moisture science.

", "keywords": ["QC801-809", "13. Climate action", "0103 physical sciences", "Geophysics. Cosmic physics", "0207 environmental engineering", "02 engineering and technology", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.5194/gi-2019-38"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Instrumentation%2C%20Methods%20and%20Data%20Systems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/gi-2019-38", "name": "item", "description": "10.5194/gi-2019-38", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/gi-2019-38"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-11-05T00:00:00Z"}}, {"id": "10.5194/gmd-10-3745-2017", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:33Z", "type": "Journal Article", "created": "2017-10-12", "title": "A representation of the phosphorus cycle for ORCHIDEE (revision\u00a04520)", "description": "

Abstract. Land surface models rarely incorporate the terrestrial phosphorus cycle and its interactions with the carbon cycle, despite the extensive scientific debate about the importance of nitrogen and phosphorus supply for future land carbon uptake. We describe a representation of the terrestrial phosphorus cycle for the ORCHIDEE land surface model, and evaluate it with data from nutrient manipulation experiments along a\uffc2\uffa0soil formation chronosequence in Hawaii. ORCHIDEE accounts for the influence of the nutritional state of vegetation on tissue nutrient concentrations, photosynthesis, plant growth, biomass allocation, biochemical (phosphatase-mediated) mineralization, and biological nitrogen fixation. Changes in the nutrient content (quality) of litter affect the carbon use efficiency of decomposition and in return the nutrient availability to vegetation. The model explicitly accounts for root zone depletion of phosphorus as a function of root phosphorus uptake and phosphorus transport from the soil to the root surface. The model captures the observed differences in the foliage stoichiometry of vegetation between an early (300-year) and a late (4.1\uffe2\uff80\uffafMyr) stage of soil development. The contrasting sensitivities of net primary productivity to the addition of either nitrogen, phosphorus, or both among sites are in general reproduced by the model. As observed, the model simulates a preferential stimulation of leaf level productivity when nitrogen stress is alleviated, while leaf level productivity and leaf area index are stimulated equally when phosphorus stress is alleviated. The nutrient use efficiencies in the model are lower than observed primarily due to biases in the nutrient content and turnover of woody biomass. We conclude that ORCHIDEE is able to reproduce the shift from nitrogen to phosphorus limited net primary productivity along the soil development chronosequence, as well as the contrasting responses of net primary productivity to nutrient addition.

", "keywords": ["Biomass (ecology)", "Chronosequence", "Organic chemistry", "chronos\u00e9quence", "Plant Science", "mod\u00e8le", "Nitrogen cycle", "01 natural sciences", "Nutrient cycle", "Agricultural and Biological Sciences", "Soil water", "Pathology", "2. Zero hunger", "QE1-996.5", "Global and Planetary Change", "Orchidee", "Ecology", "Physics", "Life Sciences", "Geology", "Phosphorus", "Carbon cycle", "Chemistry", "nutrition", "Physical Sciences", "Medicine", "[SDU.STU.GP] Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph]", "Ecosystem Functioning", "Vegetation (pathology)", "cycle du carbone", "570", "[SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph]", "Nitrogen", "hawai", "Soil Science", "mod\u00e8le orchid\u00e9e", "Environmental science", "vegetation", "phosphore du sol", "Biology", "Ecosystem", "0105 earth and related environmental sciences", "Soil science", "Soil Fertility", "ddc:550", "Global Forest Drought Response and Climate Change", "surface terrestre", "Plant Nutrient Uptake and Signaling Pathways", "15. Life on land", "Agronomy", "hawaii", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "Nutrient"]}, "links": [{"href": "https://gmd.copernicus.org/articles/10/3745/2017/gmd-10-3745-2017.pdf"}, {"href": "https://doi.org/10.5194/gmd-10-3745-2017"}, {"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": "10.5194/gmd-10-3745-2017", "name": "item", "description": "10.5194/gmd-10-3745-2017", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/gmd-10-3745-2017"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-10-12T00:00:00Z"}}, {"id": "1854/LU-01JM1T576ZX50W7293M9RBH0RG", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:49Z", "type": "Journal Article", "created": "2024-10-17", "title": "Assimilation of Sentinel\u20101 Backscatter to Update AquaCrop Estimates of Soil Moisture and Crop Biomass", "description": "Abstract

This study assesses the potential of regional microwave backscatter data assimilation (DA) in AquaCrop for the first time, using NASA's Land Information System. The objective is to assess whether the assimilation setup can improve surface soil moisture (SSM) and crop biomass estimates. SSM and crop biomass simulations from AquaCrop were updated using Sentinel\uffe2\uff80\uff901 synthetic aperture radar observations, over three regions in Europe in two separate DA experiments. The first experiment concerned updating SSM using VV\uffe2\uff80\uff90polarized backscatter and the corrections were propagated via the model to the biomass. In the second experiment, the DA setup was extended by also updating the biomass with VH\uffe2\uff80\uff90polarized backscatter. SSM was evaluated with local in situ data and with downscaled Soil Moisture Active Passive (SMAP) retrievals for all cropland grid cells, whereas crop biomass was compared to SMAP vegetation optical depth and the Copernicus dry matter productivity. The assimilation showed mixed results for root mean square error and Pearson's correlation, with slight overall improvements in the (anomaly) correlations of updated SSM relative to independent in situ and satellite data. By contrast, the biomass estimates obtained with backscatter DA did not agree better with reference data sets. Overall, the SSM evaluation showed that there is potential in using Sentinel\uffe2\uff80\uff901 backscatter for assimilation in AquaCrop, but the present setup was not able to improve crop biomass estimates. Our study reveals how the complex interaction between SSM, crop biomass and backscatter affect the impact and performance of DA, offering insight into ways to optimize DA for crop growth estimation. something mandatory to the data creating and dataset publishing process. Metadata are instead presented as a crucial element to ensure the findability of data services and repositories. This paper describes a way through four levels of metadata management and publication, from default unstructured data, through schema-based metadata with literal values and/or URIs, towards linked open (meta)data providing explicit linkage between reliable data resources. Such research was conducted within the European Union\u2019s project PoliVisu. Special attention is given to the following: (1) guidance on publication aimed at the broad audience of search engine users and (2) the publication of geo (meta)data not only via standard technologies, such as the OGC Catalogue Service for Web and open data portals, but also through leading search engines (that are Schema.org-based).", "keywords": ["Geochemistry & Geophysics", "Technology", "Open linked data", "04 Earth Sciences", "02 engineering and technology", "46 Information and computing sciences", "09 Engineering", "Metadata review", "0202 electrical engineering", " electronic engineering", " information engineering", "Geosciences", " Multidisciplinary", "INSPIRE", "40 Engineering", "TOOLS", "Science & Technology", "Geodata", "LINKED-DATA", "Findability", "05 social sciences", "Geology", "37 Earth sciences", "MODEL", "ONTOLOGY", "Open linked metadata", "CATALOG SERVICES", "DISCOVERY", "Computer Science", "Physical Sciences", "Search engines", "Computer Science", " Interdisciplinary Applications", "08 Information and Computing Sciences", "0509 other social sciences", "METADATA", "SPATIAL INFORMATION"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.8091915"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Computers%20%26amp%3B%20Geosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.8091915", "name": "item", "description": "10.5281/zenodo.8091915", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.8091915"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-12-01T00:00:00Z"}}, {"id": "10.6084/m9.figshare.6668315.v1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:23:31Z", "type": "Journal Article", "created": "2018-06-25", "title": "Supplementary 02 from Determination of macro-scale soil properties from pore scale structures: image-based modelling of poroelastic structures", "description": "Additional plots and data to support the paper", "keywords": ["Geophysics", "FOS: Mathematics", "FOS: Earth and related environmental sciences", "10299 Applied Mathematics not elsewhere classified", "15. Life on land", "90599 Civil Engineering not elsewhere classified", "FOS: Civil engineering"], "contacts": [{"organization": "K. R. Daly, S. D. Keyes, T. Roose,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.6084/m9.figshare.6668315.v1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20of%20the%20Royal%20Society%20A", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.6084/m9.figshare.6668315.v1", "name": "item", "description": "10.6084/m9.figshare.6668315.v1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.6084/m9.figshare.6668315.v1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "10.6084/m9.figshare.6668315", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:23:31Z", "type": "Journal Article", "created": "2018-06-25", "title": "Supplementary 02 from Determination of macro-scale soil properties from pore scale structures: image-based modelling of poroelastic structures", "description": "Additional plots and data to support the paper", "keywords": ["Geophysics", "FOS: Mathematics", "FOS: Earth and related environmental sciences", "10299 Applied Mathematics not elsewhere classified", "15. Life on land", "90599 Civil Engineering not elsewhere classified", "FOS: Civil engineering"], "contacts": [{"organization": "K. R. Daly, S. D. Keyes, T. Roose,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.6084/m9.figshare.6668315"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20of%20the%20Royal%20Society%20A", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.6084/m9.figshare.6668315", "name": "item", "description": "10.6084/m9.figshare.6668315", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.6084/m9.figshare.6668315"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "10.6084/m9.figshare.6668318", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:23:31Z", "type": "Journal Article", "created": "2018-06-25", "title": "Supplementary 01 from Determination of macro-scale soil properties from pore scale structures: image-based modelling of poroelastic structures", "description": "Mathematical details used in the model derivation", "keywords": ["Geophysics", "FOS: Mathematics", "FOS: Earth and related environmental sciences", "10299 Applied Mathematics not elsewhere classified", "90599 Civil Engineering not elsewhere classified", "FOS: Civil engineering"], "contacts": [{"organization": "K. R. Daly, S. D. Keyes, T. Roose,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.6084/m9.figshare.6668318"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20of%20the%20Royal%20Society%20A", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.6084/m9.figshare.6668318", "name": "item", "description": "10.6084/m9.figshare.6668318", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.6084/m9.figshare.6668318"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "10.6084/m9.figshare.6668318.v1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:23:31Z", "type": "Journal Article", "created": "2018-06-25", "title": "Supplementary 01 from Determination of macro-scale soil properties from pore scale structures: image-based modelling of poroelastic structures", "description": "Mathematical details used in the model derivation", "keywords": ["Geophysics", "FOS: Mathematics", "FOS: Earth and related environmental sciences", "10299 Applied Mathematics not elsewhere classified", "90599 Civil Engineering not elsewhere classified", "FOS: Civil engineering"], "contacts": [{"organization": "K. R. Daly, S. D. Keyes, T. Roose,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.6084/m9.figshare.6668318.v1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20of%20the%20Royal%20Society%20A", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.6084/m9.figshare.6668318.v1", "name": "item", "description": "10.6084/m9.figshare.6668318.v1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.6084/m9.figshare.6668318.v1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "10.6084/m9.figshare.6982730", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:23:31Z", "type": "Journal Article", "created": "2018-08-18", "title": "Homogenisation of two fluid flow dependent on exudate concentration. from The effect of root exudates on rhizosphere water dynamics", "description": "The Cahn-Hilliard-Stokes equations are combined with the advection-diffusion equation by concentration dependent variables to model the pore scale movement of water, air and root exudates in soil. The supplementary material presents the application of multiscale homogenisation theory to derive a coupled set of equations to describe the processes on the macroscale, with parameters that are related to the underlying geometry.", "keywords": ["Geophysics", "FOS: Environmental engineering", "FOS: Mathematics", "FOS: Earth and related environmental sciences", "10299 Applied Mathematics not elsewhere classified", "6. Clean water", "90799 Environmental Engineering not elsewhere classified"], "contacts": [{"organization": "L. J. Cooper, K. R. Daly, P. D. Hallett, N. Koebernick, T. S. George, T. Roose,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.6084/m9.figshare.6982730"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20of%20the%20Royal%20Society%20A", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.6084/m9.figshare.6982730", "name": "item", "description": "10.6084/m9.figshare.6982730", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.6084/m9.figshare.6982730"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "10.6084/m9.figshare.6982730.v1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:23:31Z", "type": "Journal Article", "created": "2018-08-18", "title": "Homogenisation of two fluid flow dependent on exudate concentration. from The effect of root exudates on rhizosphere water dynamics", "description": "The Cahn-Hilliard-Stokes equations are combined with the advection-diffusion equation by concentration dependent variables to model the pore scale movement of water, air and root exudates in soil. The supplementary material presents the application of multiscale homogenisation theory to derive a coupled set of equations to describe the processes on the macroscale, with parameters that are related to the underlying geometry.", "keywords": ["Geophysics", "FOS: Environmental engineering", "FOS: Mathematics", "FOS: Earth and related environmental sciences", "10299 Applied Mathematics not elsewhere classified", "6. Clean water", "90799 Environmental Engineering not elsewhere classified"], "contacts": [{"organization": "L. J. Cooper, K. R. Daly, P. D. Hallett, N. Koebernick, T. S. George, T. Roose,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.6084/m9.figshare.6982730.v1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20of%20the%20Royal%20Society%20A", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.6084/m9.figshare.6982730.v1", "name": "item", "description": "10.6084/m9.figshare.6982730.v1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.6084/m9.figshare.6982730.v1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "10.6084/m9.figshare.9942854", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:04Z", "type": "Journal Article", "created": "2019-10-05", "title": "Supplementary Information from Stabilizing gold nanoparticles for use in X-ray computed tomography imaging of soil systems", "description": "This investigation establishes a system of gold nanoparticles that show good colloidal stability as an X-ray computed tomography (XCT) contrast agent under soil conditions. Gold nanoparticles offer numerous beneficial traits for experiments in biology including: comparatively minimal phytotoxicity, X-ray attenuation of the material and the capacity for functionalization. However, soil salinity, acidity and surface charges can induce aggregation and destabilize gold nanoparticles, hence in biomedical applications polymer coatings are commonly applied to gold nanoparticles to enhance stability in the in vivo environment. Here we first demonstrate non-coated nanoparticles aggregate in soil-water solutions. We then show coating with a polyethylene glycol (PEG) layer prevents this aggregation. To demonstrate this, PEG-coated nanoparticles were drawn through flow columns containing soil and were shown to be stable; this is in contrast with control experiments using silica and alumina-packed columns. We further determined that a suspension of coated gold nanoparticles which fully saturated soil maintained stability over at least 5 days. Finally, we used time resolved XCT imaging and image based models to approximate nanoparticle diffusion as similar to that of other typical plant nutrients diffusing in water. Together, these results establish the PEGylated gold nanoparticles as potential contrast agents for XCT imaging in soil.", "keywords": ["FOS: Computer and information sciences", "Geophysics", "80106 Image Processing", "Biological Engineering", "FOS: Earth and related environmental sciences"], "contacts": [{"organization": "Scotson, Callum P., Munoz-Hernando, Maria, Duncan, Simon J., Siul A. Ruiz, Keyes, Samuel D., Veelen, Arjen Van, Dunlop, Iain E., Roose, Tiina,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.6084/m9.figshare.9942854"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Royal%20Society%20Open%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.6084/m9.figshare.9942854", "name": "item", "description": "10.6084/m9.figshare.9942854", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.6084/m9.figshare.9942854"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.6084/m9.figshare.9942854.v1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:04Z", "type": "Journal Article", "created": "2019-10-05", "title": "Supplementary Information from Stabilizing gold nanoparticles for use in X-ray computed tomography imaging of soil systems", "description": "This investigation establishes a system of gold nanoparticles that show good colloidal stability as an X-ray computed tomography (XCT) contrast agent under soil conditions. Gold nanoparticles offer numerous beneficial traits for experiments in biology including: comparatively minimal phytotoxicity, X-ray attenuation of the material and the capacity for functionalization. However, soil salinity, acidity and surface charges can induce aggregation and destabilize gold nanoparticles, hence in biomedical applications polymer coatings are commonly applied to gold nanoparticles to enhance stability in the in vivo environment. Here we first demonstrate non-coated nanoparticles aggregate in soil-water solutions. We then show coating with a polyethylene glycol (PEG) layer prevents this aggregation. To demonstrate this, PEG-coated nanoparticles were drawn through flow columns containing soil and were shown to be stable; this is in contrast with control experiments using silica and alumina-packed columns. We further determined that a suspension of coated gold nanoparticles which fully saturated soil maintained stability over at least 5 days. Finally, we used time resolved XCT imaging and image based models to approximate nanoparticle diffusion as similar to that of other typical plant nutrients diffusing in water. Together, these results establish the PEGylated gold nanoparticles as potential contrast agents for XCT imaging in soil.", "keywords": ["FOS: Computer and information sciences", "Geophysics", "80106 Image Processing", "Biological Engineering", "FOS: Earth and related environmental sciences"], "contacts": [{"organization": "Scotson, Callum P., Munoz-Hernando, Maria, Duncan, Simon J., Siul A. Ruiz, Keyes, Samuel D., Veelen, Arjen Van, Dunlop, Iain E., Roose, Tiina,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.6084/m9.figshare.9942854.v1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Royal%20Society%20Open%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.6084/m9.figshare.9942854.v1", "name": "item", "description": "10.6084/m9.figshare.9942854.v1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.6084/m9.figshare.9942854.v1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "1912/10214", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:52Z", "type": "Journal Article", "created": "2018-03-12", "title": "Global Carbon Budget 2017", "description": "

Abstract. Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere \u2013 the global carbon budget \u2013 is important to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe data sets and methodology to quantify the five major components of the global carbon budget and their uncertainties. CO2 emissions from fossil fuels and industry (EFF) are based on energy statistics and cement production data, respectively, while emissions from land-use change (ELUC), mainly deforestation, are based on land-cover change data and bookkeeping models. The global atmospheric CO2 concentration is measured directly and its rate of growth (GATM) is computed from the annual changes in concentration. The ocean CO2 sink (SOCEAN) and terrestrial CO2 sink (SLAND) are estimated with global process models constrained by observations. The resulting carbon budget imbalance (BIM), the difference between the estimated total emissions and the estimated changes in the atmosphere, ocean, and terrestrial biosphere, is a measure of imperfect data and understanding of the contemporary carbon cycle. All uncertainties are reported as \u00b11\u03c3. For the last decade available (2007\u20132016), EFF was 9.4\u202f\u00b1\u202f0.5\u202fGtC\u202fyr\u22121, ELUC 1.3\u202f\u00b1\u202f0.7\u202fGtC\u202fyr\u22121, GATM 4.7\u202f\u00b1\u202f0.1\u202fGtC\u202fyr\u22121, SOCEAN 2.4\u202f\u00b1\u202f0.5\u202fGtC\u202fyr\u22121, and SLAND 3.0\u202f\u00b1\u202f0.8\u202fGtC\u202fyr\u22121, with a budget imbalance BIM of 0.6\u202fGtC\u202fyr\u22121 indicating overestimated emissions and/or underestimated sinks. For year 2016 alone, the growth in EFF was approximately zero and emissions remained at 9.9\u202f\u00b1\u202f0.5\u202fGtC\u202fyr\u22121. Also for 2016, ELUC was 1.3\u202f\u00b1\u202f0.7\u202fGtC\u202fyr\u22121, GATM was 6.1\u202f\u00b1\u202f0.2\u202fGtC\u202fyr\u22121, SOCEAN was 2.6\u202f\u00b1\u202f0.5\u202fGtC\u202fyr\u22121, and SLAND was 2.7\u202f\u00b1\u202f1.0\u202fGtC\u202fyr\u22121, with a small BIM of \u22120.3\u202fGtC. GATM continued to be higher in 2016 compared to the past decade (2007\u20132016), reflecting in part the high fossil emissions and the small SLAND consistent with El Ni\u00f1o conditions. The global atmospheric CO2 concentration reached 402.8\u202f\u00b1\u202f0.1\u202fppm averaged over 2016. For 2017, preliminary data for the first 6\u20139\u00a0months indicate a renewed growth in EFF of +2.0\u202f% (range of 0.8 to 3.0\u202f%) based on national emissions projections for China, USA, and India, and projections of gross domestic product (GDP) corrected for recent changes in the carbon intensity of the economy for the rest of the world. This living data update documents changes in the methods and data sets used in this new global carbon budget compared with previous publications of this data set (Le Qu\u00e9r\u00e9 et al., 2016, 2015b, a, 2014, 2013). All results presented here can be downloaded from https://doi.org/10.18160/GCP-2017 (GCP, 2017).

", "keywords": ["ENVIRONMENT SIMULATOR JULES", "550", "530 Physics", "[PHYS.PHYS.PHYS-GEO-PH] Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph]", "MIXED-LAYER SCHEME", "INTERNATIONAL-TRADE", "7. Clean energy", "01 natural sciences", "333", "12. Responsible consumption", "FOSSIL-FUEL COMBUSTION", "ANTHROPOGENIC CO2 UPTAKE", "11. Sustainability", "SDG 13 - Climate Action", "Life Science", "GE1-350", "SDG 14 - Life Below Water", "ATMOSPHERIC CO2", "DIOXIDE EMISSIONS", "SDG 15 - Life on Land", "0105 earth and related environmental sciences", "LAND-COVER CHANGE", "QE1-996.5", "info:eu-repo/classification/ddc/550", "EARTH SYSTEM MODEL", "ddc:550", "VEGETATION MODEL", "Geology", "15. Life on land", "Environmental sciences", "Earth sciences", "13. Climate action", "8. Economic growth", "General Earth and Planetary Sciences"]}, "links": [{"href": "https://ueaeprints.uea.ac.uk/id/eprint/66578/1/Published_manuscript.pdf"}, {"href": "http://oceanrep.geomar.de/42391/1/essd-10-405-2018.pdf"}, {"href": "https://boris.unibe.ch/116576/1/lequere18essd.pdf"}, {"href": "http://pure.iiasa.ac.at/id/eprint/15161/1/essd-10-405-2018.pdf"}, {"href": "https://pure.iiasa.ac.at/id/eprint/15161/1/essd-10-405-2018.pdf"}, {"href": "https://essd.copernicus.org/articles/10/405/2018/essd-10-405-2018.pdf"}, {"href": "https://doi.org/1912/10214"}, {"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": "1912/10214", "name": "item", "description": "1912/10214", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1912/10214"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-03-12T00:00:00Z"}}, {"id": "1912/9633", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:52Z", "type": "Journal Article", "created": "2017-12-18", "title": "Soil Carbon Dynamics in Soybean Cropland and Forests in Mato Grosso, Brazil", "description": "Abstract

Climate and land use models predict that tropical deforestation and conversion to cropland will produce a large flux of soil carbon (C) to the atmosphere from accelerated decomposition of soil organic matter (SOM). However, the C flux from the deep tropical soils on which most intensive crop agriculture is now expanding remains poorly constrained. To quantify the effect of intensive agriculture on tropical soil C, we compared C stocks, radiocarbon, and stable C isotopes to 2\uffc2\uffa0m depth from forests and soybean cropland created from former pasture in Mato Grosso, Brazil. We hypothesized that soil disturbance, higher soil temperatures (+2\uffc2\uffb0C), and lower OM inputs from soybeans would increase soil C turnover and deplete C stocks relative to nearby forest soils. However, we found reduced C concentrations and stocks only in surface soils (0\uffe2\uff80\uff9310\uffc2\uffa0cm) of soybean cropland compared with forests, and these differences could be explained by soil mixing during plowing. The amount and \uffce\uff9414C of respired CO2 to 50\uffc2\uffa0cm depth were significantly lower from soybean soils, yet CO2 production at 2\uffc2\uffa0m deep was low in both forest and soybean soils. Mean surface soil \uffce\uffb413C decreased by 0.5\uffe2\uff80\uffb0 between 2009 and 2013 in soybean cropland, suggesting low OM inputs from soybeans. Together these findings suggest the following: (1) soil C is relatively resistant to changes in land use and (2) conversion to cropland caused a small, measurable reduction in the fast\uffe2\uff80\uff90cycling C pool through reduced OM inputs, mobilization of older C from soil mixing, and/or destabilization of SOM in surface soils.Branching river networks are prominent features of the Earth's surface, but the mechanisms that create branching river networks patterns remain elusive. Recent studies have suggested that climate, tectonics, and lithology may control both longitudinal profiles of channel incision and the planform geometry of stream networks. Here we show, by analyzing almost 1 million river junctions and over 4.2 million groundwater wells across the contiguous United States, that stream network branching angles vary systematically with the degree to which streams lose water to, or gain water from, nearby groundwater aquifers. Streams whose surfaces lie above nearby groundwater levels, and thus are likely to be losing flow to underlying aquifers, tend to have narrower branching angles than streams that lie below nearby groundwater levels, and thus are likely to gain flow from groundwater. This systematic relationship persists across several stream orders, and across a wide range in channel gradients.In active volcanic regions, high\uffe2\uff80\uff90temperature chemical reactions in the hydrothermal system consume CO2 sourced from magma or from the deep crust, whereas reactions with silicates at shallow depths mainly consume atmospheric CO2. Numerous studies have quantified the load of dissolved solids in rivers that drain volcanic regions to determine chemical weathering rates and atmospheric CO2 consumption rates. However, the balance between thermal and non\uffe2\uff80\uff90thermal components to riverine fluxes in these areas remains poorly constrained, hindering accurate estimates of atmospheric CO2 consumption rates. Here we use the Ge/Si ratio and the stable silicon isotopes (\uffce\uffb430Si) as tracers for quantifying non\uffe2\uff80\uff90thermal silicon contributions in rivers draining the Yellowstone Plateau Volcanic Field, USA. The Ge/Si ratio (\uffc2\uffb5mol.mol\uffe2\uff88\uff921) was determined for seven thermal water samples (183\uffc2\uffa0\uffc2\uffb1\uffc2\uffa022), eight rivers (35\uffc2\uffa0\uffc2\uffb1\uffc2\uffa023) and six creeks flowing into Yellowstone Lake (5\uffc2\uffa0\uffc2\uffb1\uffc2\uffa03) during base flow and during peak water discharge following snowmelt. The \uffce\uffb430Si value (\uffe2\uff80\uffb0) was determined for thermal waters (\uffe2\uff88\uff920.09\uffc2\uffa0\uffc2\uffb1\uffc2\uffa00.04), Yellowstone River at Yellowstone Lake outlet (1.91\uffc2\uffa0\uffc2\uffb1\uffc2\uffa00.23) and creek samples (0.82\uffc2\uffa0\uffc2\uffb1\uffc2\uffa00.29). The calculated atmospheric CO2 consumption associated with non\uffe2\uff80\uff90thermal waters flowing through Yellowstone's rivers during peak discharge is \uffe2\uff88\uffbc3.03 ton.km\uffe2\uff88\uff922.yr\uffe2\uff88\uff921, which is \uffe2\uff88\uffbc2% of the annual mean atmospheric CO2 consumption in other volcanic regions. This study highlights the significance of quantifying seasonal variations in chemical weathering rates for improving estimates of atmospheric CO2 consumption rates in active volcanic regions.We evaluated global soil organic carbon (SOC) stocks and turnover time predictions from a global land model (ELMv1\uffe2\uff80\uff90ECA) integrated in an Earth System Model (E3SM) by comparing them with observed soil bulk and \uffce\uff9414C values around the world. We analyzed observed and simulated SOC stocks and \uffce\uff9414C values using machine learning methods at the Earth System Model grid cell scale (~200\uffc2\uffa0km). In grid cells with sufficient observations, the model provided reasonable estimates of soil carbon stocks across soil depth and \uffce\uff9414C values near the surface but underestimated \uffce\uff9414C at depth. Among many explanatory variables, soil albedo index, soil order, plant function type, air temperature, and SOC content were major factors affecting predicted SOC \uffce\uff9414C values. The influences of soil albedo index, soil order, and air temperature were primarily important in the shallow subsurface (\uffe2\uff89\uffa430\uffc2\uffa0cm). We also performed sensitivity studies using different vertical root distributions and decomposition turnover times and compared to observed SOC stock and \uffce\uff9414C profiles. The analyses support the role of vegetation in affecting soil carbon turnover, particularly in deep soil, possibly through supplying fresh carbon and degrading physical\uffe2\uff80\uff90chemical protection of SOC via root activities. Allowing for grid cell\uffe2\uff80\uff90specific rooting and decomposition rates substantially reduced discrepancies between observed and predicted \uffce\uff9414C values and SOC content. Our results highlight the need for more explicit representation of roots, microbes, and soil physical protection in land models.