{"type": "FeatureCollection", "features": [{"id": "10.5194/bg-2-159-2005", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:24:19Z", "type": "Journal Article", "created": "2010-04-29", "description": "<p>Abstract. Extreme sensitivity of soil organic carbon (SOC) to climate and land use change warrants further research in different terrestrial ecosystems. The aim of this study was to investigate the link between aggregate and SOC dynamics in a chronosequence of three different land uses of a south Chilean Andisol: a second growth Nothofagus obliqua forest (SGFOR), a grassland (GRASS) and a Pinus radiata plantation (PINUS). Total carbon content of the 0-10cm soil layer was higher for GRASS (6.7 kg C m-2) than for PINUS (4.3 kg C m-2, while TC content of SGFOR (5.8 kg C m-2) was not significantly different from either one. High extractable oxalate and pyrophosphate Al concentrations (varying from 20.3-24.4 g kg-1, and 3.9-11.1 g kg-1, respectively) were found in all sites. In this study, SOC and aggregate dynamics were studied using size and density fractionation experiments of the SOC, \uffce\uffb413C and total carbon analysis of the different SOC fractions, and C mineralization experiments. The results showed that electrostatic sorption between and among amorphous Al components and clay minerals is mainly responsible for the formation of metal-humus-clay complexes and the stabilization of soil aggregates. The process of ligand exchange between SOC and Al would be of minor importance resulting in the absence of aggregate hierarchy in this soil type. Whole soil C mineralization rate constants were highest for SGFOR and PINUS, followed by GRASS (respectively 0.495, 0.266 and 0.196 g CO2-Cm-2d-1 for the top soil layer). In contrast, incubation experiments of isolated macro organic matter fractions gave opposite results, showing that the recalcitrance of the SOC decreased in another order: PINUS&gt;SGFOR&gt;GRASS. We deduced that electrostatic sorption processes and physical protection of SOC in soil aggregates were the main processes determining SOC stabilization. As a result, high aggregate carbon concentrations, varying from 148 till 48 g kg-1, were encountered for all land use sites. Al availability and electrostatic charges are dependent on pH, resulting in an important influence of soil pH on aggregate stability. Recalcitrance of the SOC did not appear to largely affect SOC stabilization. Statistical correlations between extractable amorphous Al contents, aggregate stability and C mineralization rate constants were encountered, supporting this hypothesis. Land use changes affected SOC dynamics and aggregate stability by modifying soil pH (and thus electrostatic charges and available Al content), root SOC input and management practices (such as ploughing and accompanying drying of the soil).                     </p>", "keywords": ["DECOMPOSITION", "NEW-ZEALAND", "DENSITY FRACTIONS", "[SDU.ASTR] Sciences of the Universe [physics]/Astrophysics [astro-ph]", "HUMIC-ACID", "Life", "QH501-531", "QH540-549.5", "2. Zero hunger", "QE1-996.5", "CULTIVATED SOILS", "Ecology", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "Geology", "LAND-USE CHANGE", "04 agricultural and veterinary sciences", "ALUMINUM", "15. Life on land", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "MACROORGANIC MATTER", "C SEQUESTRATION", "[PHYS.ASTR.CO] Physics [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO]", "Earth and Environmental Sciences", "FOREST SOILS", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "0401 agriculture", " forestry", " and fisheries"], "contacts": [{"organization": "Huygens, D., Boeckx, P., van Cleemput, O., Oyarz\u00fan, C., Godoy, R.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5194/bg-2-159-2005"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-2-159-2005", "name": "item", "description": "10.5194/bg-2-159-2005", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-2-159-2005"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2005-06-24T00:00:00Z"}}, {"id": "10.3390/rs13040727", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:23:34Z", "type": "Journal Article", "created": "2021-02-17", "title": "On the Utility of High-Resolution Soil Moisture Data for Better Constraining Thermal-Based Energy Balance over Three Semi-Arid Agricultural Areas", "description": "<p>Over semi-arid agricultural areas, the surface energy balance and its components are largely dependent on the soil water availability. In such conditions, the land surface temperature (LST) retrieved from the thermal bands has been commonly used to represent the high spatial variability of the surface evaporative fraction and associated fluxes. In contrast, however, the soil moisture (SM) retrieved from microwave data has rarely been used thus far due to the unavailability of high-resolution (field scale) SM products until recent times. Soil evaporation is controlled by the surface SM. Moreover, the surface SM dynamics is temporally related to root zone SM, which provides information about the water status of plants. The aim of this work was to assess the gain in terms of flux estimates when integrating microwave-derived SM data in a thermal-based energy balance model at the field scale. In this study, SM products were derived from three different methodologies: the first approach inverts SM, labeled hereafter as \uffe2\uff80\uff98SMO20\uffe2\uff80\uff99, from the backscattering coefficient and the interferometric coherence derived from Sentinel-1 products in the water cloud model (WCM); the second approach inverts SM from Sentinel-1 and Sentinel-2 data based on machine learning algorithms trained on a synthetic dataset simulated by the WCM noted \uffe2\uff80\uff98SME16\uffe2\uff80\uff99; and the third approach disaggregates the soil moisture active and passive SM at 100 m resolution using Landsat optical/thermal data \uffe2\uff80\uff98SMO19\uffe2\uff80\uff99. These SM products, combined with the Landsat based vegetation index and LST, are integrated simultaneously within an energy balance model (TSEB-SM) to predict the latent (LE) and sensible (H) heat fluxes over two irrigated and rainfed wheat crop sites located in the Haouz Plain in the center of Morocco. H and LE were measured over each site using an eddy covariance system and their values were used to evaluate the potential of TSEB-SM against the classical two source energy balance (TSEB) model solely based on optical/thermal data. Globally, TSEB systematically overestimates LE (mean bias of 100 W/m2) and underestimates H (mean bias of \uffe2\uff88\uff92110 W/m2), while TSEB-SM significantly reduces those biases, regardless of the SM product used as input. This is linked to the parameterization of the Priestley Taylor coefficient, which is set to \uffce\uffb1PT = 1.26 by default in TSEB and adjusted across the season in TSEB-SM. The best performance of TSEB-SM was obtained over the irrigated field using the three retrieved SM products with a mean R2 of 0.72 and 0.92, and a mean RMSE of 31 and 36 W/m2 for LE and H, respectively. This opens up perspectives for applying the TSEB-SM model over extended irrigated agricultural areas to better predict the crop water needs at the field scale.</p>", "keywords": ["2. Zero hunger", "550", "Science", "Q", "0208 environmental biotechnology", "0207 environmental engineering", "TSEB-SM", "land surface temperature", "02 engineering and technology", "15. Life on land", "surface soil moisture", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "winter wheat", "13. Climate action", "semi-arid region", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "TSEB", "environment", "vegetation index"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/4/727/pdf"}, {"href": "https://www.mdpi.com/2072-4292/13/4/727/pdf"}, {"href": "https://doi.org/10.3390/rs13040727"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs13040727", "name": "item", "description": "10.3390/rs13040727", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs13040727"}, {"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": "10.5194/bg-2-175-2005", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:24:19Z", "type": "Journal Article", "created": "2010-04-29", "title": "Nitrous Oxide Fluxes And Nitrogen Cycling Along A Pasture Chronosequence In Central Amazonia, Brazil", "description": "<p>Abstract. We studied nitrous oxide (N2O) fluxes and soil nitrogen (N) cycling following forest conversion to pasture in the central Amazon near Santar\uffc3\uffa9m, Par\uffc3\uffa1, Brazil. Two undisturbed forest sites and 27 pasture sites of 0.5 to 60 years were sampled once each during wet and dry seasons. In addition to soil-atmosphere fluxes of N2O we measured 27 soil chemical, soil microbiological and soil physical variables.  Soil N2O fluxes were higher in the wet season than in the dry season. Fluxes of N2O from forest soils always exceeded fluxes from pasture soils and showed no consistent trend with pasture age. At our forest sites, nitrate was the dominant form of inorganic N both during wet and dry season. At our pasture sites nitrate generally dominated the inorganic N pools during the wet season and ammonium dominated during the dry season. Net mineralization and nitrification rates displayed large variations. During the dry season net immobilization of N was observed in some pastures. Compared to forest sites, young pasture sites (\uffe2\uff89\uffa42 years) had low microbial biomass N and protease activities. Protease activity and microbial biomass N peaked in pastures of intermediate age (4 to 8 years) followed by consistently lower values in older pasture (10 to 60 years). The C/N ratio of litter was low at the forest sites (~25) and rapidly increased with pasture age reaching values of 60\uffe2\uff80\uff9370 at pastures of 15 years and older.  Nitrous oxide emissions at our sites were controlled by C and N availability and soil aeration. Fluxes of N2O were negatively correlated to leaf litter C/N ratio, NH4+-N and the ratio of NO3--N to the sum of NO3--N + NH4+-N (indicators of N availability), and methane fluxes and bulk density (indicators of soil aeration status) during the wet season. During the dry season fluxes of N2O were positively correlated to microbial biomass N, \uffce\uffb2-glucosidase activity, total inorganic N stocks and NH4+-N. In our study region, pastures of all age emitted less N2O than old-growth forests, because of a progressive decline in N availability with pasture age combined with strongly anaerobic conditions in some pastures during the wet season.                         </p>", "keywords": ["2. Zero hunger", "QE1-996.5", "Ecology", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "577", "Geology", "04 agricultural and veterinary sciences", "15. Life on land", "[SDU.ASTR] Sciences of the Universe [physics]/Astrophysics [astro-ph]", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "Life", "[PHYS.ASTR.CO] Physics [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO]", "13. Climate action", "QH501-531", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "0401 agriculture", " forestry", " and fisheries", "QH540-549.5"]}, "links": [{"href": "https://doi.org/10.5194/bg-2-175-2005"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-2-175-2005", "name": "item", "description": "10.5194/bg-2-175-2005", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-2-175-2005"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2005-05-04T00:00:00Z"}}, {"id": "10.3390/rs13142667", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:23:34Z", "type": "Journal Article", "created": "2021-07-07", "title": "Irrigation amounts and timing retrieval through data assimilation of surface soil moisture into the FAO-56 approach in the South Mediterranean region", "description": "<p>Agricultural water use represents more than 70% of the world\uffe2\uff80\uff99s freshwater through irrigation water inputs that are poorly known at the field scale. Irrigation monitoring is thus an important issue for optimizing water use in particular with regards to the water scarcity that the semi-arid regions are already facing. In this context, the aim of this study is to develop and evaluate a new approach to predict seasonal to daily irrigation timing and amounts at the field scale. The method is based on surface soil moisture (SSM) data assimilated into a simple land surface (FAO-56) model through a particle filter technique based on an ensemble of irrigation scenarios. The approach is implemented in three steps. First, synthetic experiments are designed to assess the impact of the frequency of observation, the errors on SSM and the a priori constraints on the irrigation scenarios for different irrigation techniques (flooding and drip). In a second step, the method is evaluated using in situ SSM measurements with different revisit times (3, 6 and 12 days) to mimic the available SSM product derived from remote sensing observation. Finally, SSM estimates from Sentinel-1 are used. Data are collected on different wheat fields grown in Morocco, for both flood and drip irrigation techniques in addition to rainfed fields used for an indirect evaluation of the method performance. Using in situ data, accurate results are obtained. With an observation every 6 days to mimic the Sentinel-1 revisit time, the seasonal amounts are retrieved with R &gt; 0.98, RMSE &lt; 32 mm and bias &lt; 2.5 mm. Likewise, a good agreement is observed at the daily scale for flood irrigation as more than 70% of the detected irrigation events have a time difference from actual irrigation events shorter than 4 days. Over the drip irrigated fields, the statistical metrics are R = 0.74, RMSE = 24.8 mm and bias = 2.3 mm for irrigation amounts cumulated over 15 days. When using SSM products derived from Sentinel-1 data, the statistical metrics on 15-day cumulated amounts slightly dropped to R = 0.64, RMSE = 28.7 mm and bias = 1.9 mm. The metrics on the seasonal amount retrievals are close to assimilating in situ observations with R = 0.99, RMSE = 33.5 mm and bias = \uffe2\uff88\uff9218.8 mm. Finally, among four rainfed seasons, only one false event was detected. This study opens perspectives for the regional retrieval of irrigation amounts and timing at the field scale and for mapping irrigated/non irrigated areas.</p>", "keywords": ["550", "Science", "particle filters", "0207 environmental engineering", "02 engineering and technology", "01 natural sciences", "irrigation timing and amounts", "Irrigation Amounts and Timing Retrieval through Data Assimilation of Surface Soil Moisture irrigation timing and amounts", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "semi-arid Mediterranean region", "data assimilation", "0105 earth and related environmental sciences", "FAO-56", "2. Zero hunger", "Q", "15. Life on land", "surface soil moisture", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "winter wheat", "irrigation timing and amounts; surface soil moisture; data assimilation; particle filters; FAO-56; Sentinel-1; semi-arid Mediterranean region; winter wheat", "13. Climate action", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "ZONE MEDITERRANEENNE", "Sentinel-1", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/14/2667/pdf"}, {"href": "https://www.mdpi.com/2072-4292/13/14/2667/pdf"}, {"href": "https://doi.org/10.3390/rs13142667"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs13142667", "name": "item", "description": "10.3390/rs13142667", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs13142667"}, {"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": "10.17660/actahortic.2022.1335.46", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:22:08Z", "type": "Journal Article", "created": "2022-04-06", "title": "Mapping deep percolation using remote sensing over an irrigated area in the Haouz plain (Marrakech, Morocco)", "description": "This study aims to estimate the spatial deep percolation (DP) by combining remote sensing data and SAMIR (SAtellite Monitoring of IRrigation) tool. In this study, DP was derived as the residual component of water balance in the root zone. The Indirect computation of water balance requires climate data (reference evapotranspiration (ET0) and rainfall), land cover, crop coefficient derived from normalized difference vegetation index (NDVI), and hydrodynamic soil parameters like soil moisture at field capacity and the wilting point. The main water balance component is evapotranspiration. It is spatialized based on the FAO-56 approach and the relationship between crop coefficient and NDVI. This approach was tested over an irrigated area in the Haouz plain during the agricultural period (2011-2012). The results showed that DP followed water supply fluctuations (sum of rainfall and irrigation provided by the manager, ORMVAH). High DP values are observed during heavy rainfall in March (around 36, 27, and 20 mm) for sugar beet, wheat, and olive trees, respectively. However, from April to June, the vegetation cover was exposed to high water stress for the rest of the season mainly due to the mismatch of water supply.", "keywords": ["remote sensing", "SAMIR", "water balance", "550", "0208 environmental biotechnology", "0207 environmental engineering", "FAO-56 model", "02 engineering and technology", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "deep percolation", "environment", "630", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment"]}, "links": [{"href": "https://doi.org/10.17660/actahortic.2022.1335.46"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Acta%20Horticulturae", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.17660/actahortic.2022.1335.46", "name": "item", "description": "10.17660/actahortic.2022.1335.46", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.17660/actahortic.2022.1335.46"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-02-01T00:00:00Z"}}, {"id": "2902175533", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:29:51Z", "type": "Journal Article", "created": "2018-11-29", "title": "Partitioning evapotranspiration of a drip-irrigated wheat crop: Inter-comparing eddy covariance-, sap flow-, lysimeter- and FAO-based methods", "description": "Abstract   A precise estimate of the evapotranspiration (ET) partitioning is fundamental for determining the crop water needs and optimizing irrigation management. The plant transpiration (T) is generally considered to be the most desirable component, while reducing the soil evaporation (E) could be one of the most important water-saving actions in semi-arid agricultural regions. Given the lack of reference method to estimate the E/T partitioning of wheat crop, this study inter-compares four different methods based on eddy covariance, sap flow and lysimetry measurements and FAO modeling. The objectives are: i) to quantify the systematic and random uncertainty in E and T observations, ii) to evaluate the partitioning ratio (T/ET) at the daily/field scale and iii) to assess the performance of the FAO model over two drip irrigated wheat fields. Results indicate that despite the small surface sensed by mini-lysimeters, the partitioning ratio is evaluated more precisely (19% relative error) with lysimetry than with the other systems (any combination of eddy covariance, lysimetry and sap flow measurements). Moreover, stem-scale T measurements from sap flow sensors are subject to representativeness issues at the field scale, and to systematic errors during water-stress and senescence periods. The lysimeter-derived partitioning ratio increases from about 0.50 to 0.85 during the growth stage and rapidly drops towards 0 during senescence. Its dynamics is found to be significantly correlated (R>0.7) with the 5-cm soil moisture. By comparing FAO simulations with observations, it is found that the FAO method overestimates T and underestimates E, while keeping satisfying ET estimates for drip irrigated wheat. This study suggests that different independent measurement techniques should be implemented to both quantify and reduce uncertainties in the T/ET ratio, and that accurate observations are still needed to improve the modeling of E/T components.", "keywords": ["FAO-56", "2. Zero hunger", "0106 biological sciences", "550", "Lysimeter", "Eddy correlation", "0207 environmental engineering", "02 engineering and technology", "15. Life on land", "01 natural sciences", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "Sap flow", "Wheat", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment", "Evaporation-transpiration"]}, "links": [{"href": "https://doi.org/2902175533"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20and%20Forest%20Meteorology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2902175533", "name": "item", "description": "2902175533", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2902175533"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-02-01T00:00:00Z"}}, {"id": "10.5194/acp-23-7177-2023", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:24:16Z", "type": "Journal Article", "created": "2023-06-29", "title": "Insights into the size-resolved dust emission from field measurements in the Moroccan Sahara", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. The particle size distribution (PSD) of mineral dust has a strong effect on the impacts of dust on climate. However, our understanding of the emitted dust PSD, including its variability and the fraction of super-coarse dust (diameter &gt;10\u2009\u00b5m), remains limited. Here, we provide new insights into the size-resolved dust emission process based on a field campaign performed in the Moroccan Sahara in September\u00a02019 in the context of the FRontiers in dust minerAloGical coMposition and its Effects upoN climaTe (FRAGMENT) project. The obtained dust concentration and diffusive flux PSDs show significant dependencies upon the friction velocity (u*), wind direction and type of event (regular events versus haboob events). For instance, the number fraction of sub-micrometre particles increases with u*, along with a large decrease in the mass fraction of super-coarse dust. We identify dry deposition, which is modulated by u* and fetch length, as a potential cause for this PSD variability. Using a resistance model constrained with field observations to estimate the dry deposition flux and thereby also the emitted dust flux, we show that deposition could represent up to \u223c90\u2009% of the emission of super-coarse particles (&gt;10\u2009\u00b5m) and up to \u223c65\u2009% of the emission of particles as small as \u223c5\u2009\u00b5m in diameter. Importantly, removing the deposition component significantly reduces the variability with u* in the PSD of the emitted dust flux compared with the diffusive flux, particularly for super-coarse dust. The differences between regular and haboob event concentration and diffusive flux PSDs are suspected to result from a smaller and variable dust source fetch during the haboob events, and/or an increased resistance of soil aggregates to fragmentation associated with the observed increase in relative humidity along the haboob outflow. Finally, compared to the invariant emitted dust flux PSD estimated based on brittle fragmentation theory, we obtain a substantially higher proportion of super-micrometre particles in the dust flux. Overall, our results suggest that dry deposition needs to be adequately considered to estimate the emitted PSD, even in studies limited to the fine and coarse size ranges (&lt;10\u2009\u00b5m).                     </p></article>", "keywords": ["mineral dust", "Take urgent action to combat climate change and its impacts", "info:eu-repo/classification/ddc/550", "550", "ddc:550", "aerosol particles", "Physics", "QC1-999", "Pollution", "520", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "Particle size distribution (PSD)", "Dust emission", "Atmospheric mineral dust", "Earth sciences", "Chemistry", "emission processes", "13. Climate action", "info:eu-repo/classification/udc/53", "http://metadata.un.org/sdg/13", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment", "climate", "QD1-999"]}, "links": [{"href": "https://acp.copernicus.org/articles/23/7177/2023/acp-23-7177-2023.pdf"}, {"href": "https://hal.inrae.fr/hal-04158514/file/2023_Gonz%C3%A1lez-Fl%C3%B3rez.pdf"}, {"href": "https://doi.org/10.5194/acp-23-7177-2023"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/acp-23-7177-2023", "name": "item", "description": "10.5194/acp-23-7177-2023", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/acp-23-7177-2023"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-12-05T00:00:00Z"}}, {"id": "10.2139/ssrn.4881510", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:22:49Z", "type": "Journal Article", "created": "2024-12-13", "title": "Bedrock modulates the elevational patterns of soil microbial communities", "description": "Elevational gradients are often used to reveal how soil microorganisms will respond to climate change. However, inconsistent microbial distribution patterns across different elevational transects have raised doubts about their practical applicability. We hypothesized that variations in bedrock, which influence soil physical and chemical properties, would explain these inconsistencies. We therefore investigated soil microbial communities (bacterial and fungal) along two adjacent elevational transects with different bedrocks (granite vs. slate) in a subtropical forest. Our findings reveal that soil microbial communities are shaped by complex interactions between bedrock type and environmental factors along elevational gradients. Bacterial biomass was higher on slate, whereas fungal biomass was higher on granite. On granite, both bacterial and fungal biomass increased with elevation, whereas divergent patterns were observed on slate, likely due to the distinct soil properties or combinations of properties influencing microbial biomass on each bedrock. Bedrock and elevation strongly influenced microbial beta-diversity, with beta-diversity on granite driven primarily by soil total phosphorus and moisture, and on slate by soil organic carbon and pH. In contrast, alpha-diversity was impacted less by bedrock and elevation, but its relationship with environmental factors varied markedly between bedrock types. Overall, our results highlight the critical influence of bedrock in determining soil microbial community structure along elevational gradients and their potential responses to climate change.", "keywords": ["[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "570", "Slate", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "Altitude", "Climate", "Science", "Granite", "Q", "Soil microbes", "551", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "Soil", "Parent material", "Altitude Climate Granite Parent material Slate Soil microbes", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "microbes", "environment"]}, "links": [{"href": "https://doi.org/10.2139/ssrn.4881510"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2139/ssrn.4881510", "name": "item", "description": "10.2139/ssrn.4881510", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2139/ssrn.4881510"}, {"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": "10261/377128", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:28:19Z", "type": "Journal Article", "created": "2021-08-07", "title": "Groundwater antibiotic pollution and its relationship with dissolved organic matter: Identification and environmental implications", "description": "The occurrence of veterinary antibiotics and hydro-chemical parameters in eleven natural springs in a livestock production area is evaluated, jointly with the characterization of their DOM fingerprint by Orbitrap HRMS. Tetracycline and sulfonamide antibiotics were ubiquitous in all sites, and they were detected at low ng L-1 concentrations, except for doxycycline, that was present at \u03bcg L-1 in one location. DOM analysis revealed that most molecular formulas were CHO compounds (49 %-68\u00a0%), with a remarkable percentage containing nitrogen and sulphur (16 %-23\u00a0% and 11 %-24\u00a0%, respectively). Major DOM components were phenolic and highly unsaturated compounds (~90\u00a0%), typical for soil-derived organic matter, while approximately 11\u00a0% were unsaturated aliphatic, suggesting that springs may be susceptible to anthropogenic contamination sources. Comparing the DOM fingerprint among sites, the spring showing the most different profile was the one with surface water interaction and characterized by having lower CHO and higher CHOS formulas and aliphatic compounds. Correlations between antibiotics and DOM showed that tetracyclines positively correlate with unsaturated oxygen-rich substances, while sulfonamides relate with aliphatic and unsaturated oxygen-poor compounds. This indicates that the fate of different antibiotics will be controlled by the type of DOM present in groundwater.", "keywords": ["High-resolution mass spectrometry", "550", "Contaminants emergents en l'aigua", "Antibi\u00f2tics", "02 engineering and technology", "01 natural sciences", "630", "Soil", "Antibiotics", "Co-transport", "Groundwater -- Pollution", "Dissolved organic matter", "Groundwater", "0105 earth and related environmental sciences", "2. Zero hunger", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "Emerging contaminants in water", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "Anti-Bacterial Agents", "Water quality", "13. Climate action", "Aig\u00fces subterr\u00e0nies -- Contaminaci\u00f3", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "0210 nano-technology", "environment", "Water Pollutants", " Chemical", "Environmental Monitoring"]}, "links": [{"href": "https://doi.org/10261/377128"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Pollution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/377128", "name": "item", "description": "10261/377128", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/377128"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-01T00:00:00Z"}}, {"id": "10.31223/x5qd36", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:23:05Z", "type": "Journal Article", "created": "2022-08-31", "title": "A review of coarse mineral dust in the Earth system", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Mineral dust particles suspended in the atmosphere span more than three orders of magnitude in diameter, from less than 0.1 \u00b5m to more than 100 \u00b5m. This wide size range makes dust a unique aerosol species with the ability to interact with many aspects of the Earth system, including radiation, clouds, hydrology, atmospheric chemistry, and biogeochemistry. This review focuses on coarse and super-coarse dust aerosols, which we respectively define as dust particles with a diameter between 2.5 - 10 \u00b5m and 10 - 62.5 \u00b5m. We review several lines of observational evidence indicating that coarse and super-coarse dust particles are transported farther than previously expected and that the abundance of these particles is substantially underestimated in current global models. We synthesize previous studies that used observations, theories, and model simulations to highlight the impacts of coarse and super-coarse dust aerosols on the Earth system, including their effects on dust-radiation interactions, dust-cloud interactions, and atmospheric chemistry, and biogeochemistry. In addition, we examine several limitations in the representation of coarse and super-coarse dust aerosols in current model simulations and in remote-sensing retrievals. Because these limitations substantially contribute to the uncertainties in simulating the abundance and impacts of coarse and super-coarse dust aerosols, we offer some recommendations to facilitate future studies. Overall, we conclude that an accurate representation of coarse and super-coarse properties is critical in understanding the overall impacts of dust aerosols on the Earth system.</p></article>", "keywords": ["[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "info:eu-repo/classification/ddc/550", "550", "ddc:550", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "Climate", "Size distribution", "Mineral dust", "01 natural sciences", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "Atmospheric Sciences", "Coarse dust", "Climate Action", "Environmental sciences", "Earth sciences", "13. Climate action", "Earth Sciences", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment", "Earth system", "Environmental Sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://escholarship.org/content/qt9cp497d5/qt9cp497d5.pdf"}, {"href": "https://doi.org/10.31223/x5qd36"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Aeolian%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.31223/x5qd36", "name": "item", "description": "10.31223/x5qd36", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.31223/x5qd36"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-09-02T00:00:00Z"}}, {"id": "10.3389/fmicb.2016.01247", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:23:11Z", "type": "Journal Article", "created": "2016-08-08", "title": "Soil Fungal:Bacterial Ratios Are Linked to Altered Carbon Cycling", "description": "Despite several lines of observational evidence, there is a lack of consensus on whether higher fungal:bacterial (F:B) ratios directly cause higher soil carbon (C) storage. We employed RNA sequencing, protein profiling and isotope tracer techniques to evaluate whether differing F:B ratios are associated with differences in C storage. A mesocosm (13)C labeled foliar litter decomposition experiment was performed in two soils that were similar in their physico-chemical properties but differed in microbial community structure, specifically their F:B ratio (determined by PLFA analyses, RNA sequencing and protein profiling; all three corroborating each other). Following litter addition, we observed a consistent increase in abundance of fungal phyla; and greater increases in the fungal dominated soil; implicating the role of fungi in litter decomposition. Litter derived (13)C in respired CO2 was consistently lower, and residual (13)C in bulk SOM was higher in high F:B soil demonstrating greater C storage potential in the F:B dominated soil. We conclude that in this soil system, the increased abundance of fungi in both soils and the altered C cycling patterns in the F:B dominated soils highlight the significant role of fungi in litter decomposition and indicate that F:B ratios are linked to higher C storage potential.", "keywords": ["Microbiology (medical)", "Proteomics", "0301 basic medicine", "environment/Bioclimatology", "Supplementary Data", "[SDE.MCG]Environmental Sciences/Global Changes", "stable isotopes", "litter decomposition", "Microbiology", "03 medical and health sciences", "proteomics", "[SDU.STU.GC]Sciences of the Universe [physics]/Earth Sciences/Geochemistry", "[SDV.EE]Life Sciences [q-bio]/Ecology", "[SDU.STU.GC] Sciences of the Universe [physics]/Earth Sciences/Geochemistry", "soil carbon", "European Commission", "bacteria", "Stable isotopes", "2. Zero hunger", "655240", "0303 health sciences", "Bacteria", "Litter decomposition", "Fungi", "RNA sequencing", "QR Microbiology", "15. Life on land", "Soil carbon", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "QR1-502", "6. Clean water", "QR", "[SDE.BE] Environmental Sciences/Biodiversity and Ecology", "[SDE.MCG] Environmental Sciences/Global Changes", "[SDV.EE] Life Sciences [q-bio]/Ecology", " environment", "[SDV.EE.BIO] Life Sciences [q-bio]/Ecology", " environment/Bioclimatology", "[SDV.EE.BIO]Life Sciences [q-bio]/Ecology", "fungi", "[SDE.BE]Environmental Sciences/Biodiversity and Ecology", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment"]}, "links": [{"href": "https://doi.org/10.3389/fmicb.2016.01247"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Microbiology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fmicb.2016.01247", "name": "item", "description": "10.3389/fmicb.2016.01247", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fmicb.2016.01247"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-08-09T00:00:00Z"}}, {"id": "10.3389/frwa.2021.801389", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:23:15Z", "type": "Journal Article", "created": "2021-12-01", "title": "Editorial: Watershed and Stream: The Inseparable Functional/Biogeochemical Unit", "description": "Este art\u00edculo contiene 2 p\u00e1ginas. CM-L received support from German Research Foundation      (DFG: ME5498/3-1 and ME5498/2-1). NC received funding from      the European Union\u0141s Horizon 2020 research and innovation      program under the Marie Sklodowska-Curie grant agreement      No.839709. AL was supported by the Government of Catalonia      and the European Commission through the program Beatriu de      Pin\u00f3s (BP-2018-00082). Peer reviewed", "keywords": ["0301 basic medicine", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "0303 health sciences", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "scales", "reach The Inseparable Functional/Biogeochemical Unit", "Environmental technology. Sanitary engineering", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "reach", "riparian zone", "03 medical and health sciences", "hyporheic zone", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "catchment", "environment", "stream processes", "TD1-1066", "biogeochemical cycling"]}, "links": [{"href": "https://doi.org/10.3389/frwa.2021.801389"}, {"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.2021.801389", "name": "item", "description": "10.3389/frwa.2021.801389", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/frwa.2021.801389"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-30T00:00:00Z"}}, {"id": "10.3390/rs12101671", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:23:33Z", "type": "Journal Article", "created": "2020-05-25", "title": "Temporal Calibration of an Evaporation-Based Spatial Disaggregation Method of SMOS Soil Moisture Data", "description": "<p>The resolution of current satellite surface soil moisture (SM) estimates is very low, of tens of kilometers, which proves to be insufficient for various agricultural and hydrological applications. Amongst the existing downscaling approaches of remotely sensed SM, DISPATCH (DISaggregation based on a Physical And Theoretical scale CHange) improves the resolution of SMOS (Soil Moisture and Ocean Salinity) soil moisture data using soil evaporative efficiency (SEE) estimates at high resolution (HR) and a SEE(SM) model implemented at low resolution (LR). Defined as the ratio of actual to potential soil evaporation, SEE can be derived from the remotely sensed land surface temperature (LST) and normalized difference vegetation index (NDVI). The current version of DISPATCH uses a linear SEE(SM) model. This study aims at improving the SEE(SM) model and testing different calibration strategies, to ultimately have more robust and better downscaled SM products. A nonlinear SEE(SM) model is introduced and its influence on the derived HR SM products is studied over a range of conditions. Each model, linear and nonlinear, is calibrated from remote sensing data on a daily and a multi-date basis. The approaches were tested over two mixed dry and irrigated areas in Catalonia, Spain, and over one dry area in Morocco. When using the linear model, better statistical results were generally obtained using a daily calibration (current version of DISPATCH), most notably over one Spanish site. However, the best results were systematically obtained for an annually calibrated nonlinear model, in terms of all metrics considered: correlation coefficient, slope of the linear regression, bias, unbiased root mean square error. In particular, when using the annually calibrated nonlinear SEE (SM) model, the temporal slope of the linear regression between disaggregated and in situ soil moisture increased to 1.16 and 0.75 for one Spanish site and for the Moroccan site (as opposed to 0.44 and 0.58, respectively, when using the linear model with a daily calibration). The temporal correlation coefficient increased to 0.47 and 0.54 over the Spanish sites (as opposed to 0.18 and 0.27, respectively, when using the linear model with a daily calibration). Those contrasted results indicate compensation effects between the model type and the calibration strategy. Taking into account studies that report the strong nonlinear behavior of the SEE with respect to SM, the introduction of the nonlinear SEE(SM) model in DISPATCH, combined with a multi-date calibration, is proven to perform significantly better under various conditions, leading to more robust disaggregated SM products. The SEE modeling based on the nonlinear SM model, with a multi-date calibration, could be integrated into the CATDS\uffe2\uff80\uff94Centre Aval de Traitement des Donn\uffc3\uffa9es SMOS as a future product, as well as into existing evapotranspiration models, which are based on a combination of thermal and microwave data.</p>", "keywords": ["550", "Science", "Evaporation", "0207 environmental engineering", "02 engineering and technology", "551", "01 natural sciences", "evaporation", "Disaggregation", "Downscaling", "14. Life underwater", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "0105 earth and related environmental sciences", "Q", "downscaling", "15. Life on land", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "MODIS", "13. Climate action", "disaggregation", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "Soil moisture", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "soil moisture", "environment", "SMOS"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/12/10/1671/pdf"}, {"href": "https://www.mdpi.com/2072-4292/12/10/1671/pdf"}, {"href": "https://doi.org/10.3390/rs12101671"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs12101671", "name": "item", "description": "10.3390/rs12101671", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs12101671"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-05-23T00:00:00Z"}}, {"id": "10.3390/w12061722", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:23:40Z", "type": "Journal Article", "created": "2020-06-18", "title": "Influence of Dissolved Organic Matter Sources on In-Stream Net Dissolved Organic Carbon Uptake in a Mediterranean Stream", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Studies exploring how different sources of dissolved organic matter (DOM) influence in-stream dissolved organic carbon (DOC) uptake at the ecosystem scale are scarce in the literature. To fill this knowledge gap, we examined the relationship between DOM sources and in-stream net DOC uptake (UDOC) in a sub-humid Mediterranean stream. We considered four reach-scale scenarios occurring under natural conditions that differed in predominant DOM sources (groundwater, leaf litter, and/or upstream water). Results showed that groundwater inputs favored in-stream net DOC uptake, while leaf litter inputs promoted in-stream net DOC release. However, there was no clear effect of DOM source mixing on the magnitude of UDOC. Further, the variability in UDOC within and among scenarios was mostly explained by stream DOC concentration, suggesting that DOC availability limits microbial activity in this stream. DOM composition became a controlling factor of UDOC variability only during the leaf litter period, when stream DOC concentration was the highest. Together, these results suggest that the capacity of headwater forested streams to process DOC is closely tied to the availability of different DOM sources and how they vary over time and along the river network.</p></article>", "keywords": ["[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "leaf litter", "carbon availability", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "577", "Leaf litter", "910", "15. Life on land", "dissolved organic carbon", "01 natural sciences", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "Dissolved organic matter composition", "groundwater inputs", "13. Climate action", "Groundwater inputs", "dissolved organic matter composition", "In-stream net uptake", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "Dissolved organic carbon", "environment", "in-stream net uptake", "Carbon availability", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/12/6/1722/pdf"}, {"href": "https://www.mdpi.com/2073-4441/12/6/1722/pdf"}, {"href": "https://doi.org/10.3390/w12061722"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/w12061722", "name": "item", "description": "10.3390/w12061722", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/w12061722"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-06-17T00:00:00Z"}}, {"id": "10.48620/90780", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:23:57Z", "type": "Journal Article", "created": "2024-10-23", "title": "Warming of Northern Peatlands Increases the Global Temperature Overshoot Challenge", "description": "Meeting the Paris Agreement's temperature goals requires limiting future carbon emissions, yet current policies make temporarily overshooting the 1.5\u00b0C target likely. The potential climate feedback from destabilizing peatlands, storing large amounts of carbon, remains poorly quantified. Using the reduced-complexity Earth System Model OSCAR with an integrated peat carbon module, we found that across various overshoot pathways that temporarily exceed 1.5\u00b0C-2.5\u00b0C, northern peatlands exhibit net positive feedback, amplifying the overshoot challenge. Warming increases peatlands' net carbon uptake, but this is largely offset by higher methane emissions. We estimated that for each 1\u00b0C increase in peak warming, the positive feedback from peatlands decreases the remaining carbon budget by 37 GtCO2 (22-48 GtCO2). If the 1.5\u00b0C temperature target is exceeded, peatlands would increase carbon removal requirement by about 40 GtCO2 (16-60 GtCO2) (8.6%). Our findings highlight the importance of properly accounting for northern peatlands for estimating climate feedbacks, especially under overshoot scenarios.", "keywords": ["[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/Climatology", "climate change", "northern peatlands", "carbon", "greenhouse gases", "land surface model", "reduced-complexity earth system model", "FairCarboN", "temperature feedback", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "Article", "overshoot"]}, "links": [{"href": "https://oceanrep.geomar.de/id/eprint/62739/1/1-s2.0-S2590332225001794-main.pdf"}, {"href": "https://pure.iiasa.ac.at/id/eprint/20730/1/1-s2.0-S2590332225001794-main.pdf"}, {"href": "https://doi.org/10.48620/90780"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/One%20Earth", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.48620/90780", "name": "item", "description": "10.48620/90780", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.48620/90780"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-23T00:00:00Z"}}, {"id": "3210439835", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:30:24Z", "type": "Journal Article", "created": "2021-11-03", "title": "Improved global-scale predictions of soil carbon stocks with Millennial Version 2", "description": "Abstract   Soil carbon (C) models are used to predict C sequestration responses to climate and land use change. Yet, the soil models embedded in Earth system models typically do not represent processes that reflect our current understanding of soil C cycling, such as microbial decomposition, mineral association, and aggregation. Rather, they rely on conceptual pools with turnover times that are fit to bulk C stocks and/or fluxes. As measurements of soil fractions become increasingly available, it is necessary for soil C models to represent these measurable quantities so that model processes can be evaluated more accurately. Here we present Version 2 (V2) of the Millennial model, a soil model developed to simulate C pools that can be measured by extraction or fractionation, including particulate organic C, mineral-associated organic C, aggregate C, microbial biomass, and low molecular weight C. Model processes have been updated to reflect the current understanding of mineral-association, temperature sensitivity and reaction kinetics, and different model structures were tested within an open-source framework. We evaluated the ability of Millennial V2 to simulate total soil organic C (SOC), as well as the mineral-associated and particulate fractions, using three independent data sets of soil fractionation measurements spanning a range of climate and geochemistry in Australia (N\u00a0=\u00a0495), Europe (N\u00a0=\u00a0175), and across the globe (N\u00a0=\u00a0659). When using all the data together (N\u00a0=\u00a01329), the Millennial V2 model predicted SOC (RMSE\u00a0=\u00a03.3\u00a0kg\u00a0C m\u22122, AIC\u00a0=\u00a0675,      R   i  n   2     \u00a0=\u00a00.31,      R   o  u  t   2     \u00a0=\u00a00.26) better than the widely-used first-order decomposition model Century (RMSE\u00a0=\u00a03.4\u00a0kg\u00a0C m\u22122, AIC\u00a0=\u00a0696,      R   i  n   2     \u00a0=\u00a00.21,      R   o  u  t   2     \u00a0=\u00a00.18) across sites, despite the fact that Millennial V2 has an increase in process complexity and number of parameters compared to Century. Millennial V2 also reproduced the observed fraction of C in MAOM and larger particle size fractions for most latitudes and biomes, and allows for a more detailed understanding of the pools and processes that affect model performance. It is important to note that this study evaluates the spatial variation in C stock only, and that the temporal dynamics of Millennial V2 remain to be tested. The Millennial V2 model updates the conceptual Century model pools and processes and represents our current understanding of the roles that microbial activity, mineral association and aggregation play in soil C sequestration.", "keywords": ["2. Zero hunger", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "550", "Mineral association", "Atmosphere", "Soil organic carbon stocks", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "15. Life on land", "551", "Microbial decomposition", "01 natural sciences", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "13. Climate action", "Soil carbon modeling", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/3210439835"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Biology%20and%20Biochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3210439835", "name": "item", "description": "3210439835", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3210439835"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "10.5194/acp-2021-4", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:24:15Z", "type": "Journal Article", "created": "2021-01-18", "title": "Contribution of the world's main dust source regions to the global cycle of desert dust", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Even though desert dust is the most abundant aerosol by mass in Earth's atmosphere, the relative contributions of the world\u2019s major dust source regions to the global dust cycle remain poorly constrained. This problem hinders accounting for the potentially large impact of regional differences in dust properties on clouds, the Earth's energy balance, and terrestrial and marine biogeochemical cycles. Here, we constrain the contribution of each of the world\u2019s main dust source regions to the global dust cycle. We use an analytical framework that integrates an ensemble of global model simulations with observationally informed constraints on the dust size distribution, extinction efficiency, and regional dust aerosol optical depth. We obtain a data set that constrains the relative contribution of each of nine major source regions to size-resolved dust emission, atmospheric loading, optical depth, concentration, and deposition flux. We find that the 22\u201329\u2009Tg (one standard error range) global loading of dust with geometric diameter up to 20\u2009\u03bcm is partitioned as follows: North African source regions contribute ~50\u2009% (11\u201315\u2009Tg), Asian source regions contribute ~40\u2009% (8\u201313\u2009Tg), and North American and Southern Hemisphere regions contribute ~10\u2009% (1.8\u20133.2\u2009Tg). Current models might on average be overestimating the contribution of North African sources to atmospheric dust loading at ~65\u2009%, while underestimating the contribution of Asian dust at ~30\u2009%. However, both our results and current models could be affected by unquantified biases, such as due to errors in separating dust aerosol optical depth from that produced by other aerosol species in remote sensing retrievals in poorly observed desert regions. Our results further show that each source region's dust loading peaks in local spring and summer, which is partially driven by increased dust lifetime in those seasons. We also quantify the dust deposition flux to the Amazon rainforest to be ~10\u2009Tg/year, which is a factor of 2\u20133 less than inferred from satellite data by previous work that likely overestimated dust deposition by underestimating the dust mass extinction efficiency. The data obtained in this paper can be used to obtain improved constraints on dust impacts on clouds, climate, biogeochemical cycles, and other parts of the Earth system.                         </p></article>", "keywords": ["Atmospheric sciences", "550", "QC1-999", "Global dust cycle", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria agroaliment\u00e0ria::Ci\u00e8ncies de la terra i de la vida", "01 natural sciences", "Atmospheric Sciences", "Atmospheric models", "Earth's atmosphere", "Simulaci\u00f3 per ordinador", "Meteorology & Atmospheric Sciences", "Dust; Aerosols; Climate Models; Earth System Models;", "14. Life underwater", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", " environment", "Life Below Water", "QD1-999", "0105 earth and related environmental sciences", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", " Atmosphere", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "info:eu-repo/classification/ddc/550", "Atmosphere", "Climate change science", "ddc:550", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "Physics", "Aerosol model simulations", "15. Life on land", "Atmosfera -- Aspectes ambientals", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "Climate Action", "Earth sciences", "Chemistry", "13. Climate action", ":Enginyeria agroaliment\u00e0ria::Ci\u00e8ncies de la terra i de la vida [\u00c0rees tem\u00e0tiques de la UPC]", "Air quality", "Earth Sciences", "Aerosols--Measurement", "Desert dust", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment", "Astronomical and Space Sciences"]}, "links": [{"href": "https://boa.unimib.it/bitstream/10281/321610/1/Kok_2021_ACP_Dust-global.pdf"}, {"href": "https://acp.copernicus.org/articles/21/8169/2021/acp-21-8169-2021.pdf"}, {"href": "https://acp.copernicus.org/articles/21/8169/2021/acp-21-8169-2021-supplement.pdf"}, {"href": "https://escholarship.org/content/qt31s4c3tr/qt31s4c3tr.pdf"}, {"href": "https://escholarship.org/content/qt4f95b02f/qt4f95b02f.pdf"}, {"href": "https://doi.org/10.5194/acp-2021-4"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Goldschmidt2021%20abstracts", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/acp-2021-4", "name": "item", "description": "10.5194/acp-2021-4", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/acp-2021-4"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.5194/acp-21-8127-2021", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:24:16Z", "type": "Journal Article", "created": "2021-05-27", "title": "Improved representation of the global dust cycle using observational constraints on dust properties and abundance", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Even though desert dust is the most abundant aerosol by mass in Earth's atmosphere, atmospheric models struggle to accurately represent its spatial and temporal distribution. These model errors are partially caused by fundamental difficulties in simulating dust emission in coarse-resolution models and in accurately representing dust microphysical properties. Here we mitigate these problems by developing a new methodology that yields an improved representation of the global dust cycle. We present an analytical framework that uses inverse modeling to integrate an ensemble of global model simulations with observational constraints on the dust size distribution, extinction efficiency, and regional dust aerosol optical depth. We then compare the inverse model results against independent measurements of dust surface concentration and deposition flux and find that errors are reduced by approximately a factor of 2\u00a0relative to current model simulations of the Northern Hemisphere dust cycle. The inverse model results show smaller improvements in the less dusty Southern Hemisphere, most likely because both the model simulations and the observational constraints used in the inverse model are less accurate. On a global basis, we find that the emission flux of dust with a geometric diameter up to 20\u2009\u00b5m (PM20) is approximately 5000\u2009Tg\u2009yr\u22121, which is greater than most models account for. This larger PM20 dust flux is needed to match observational constraints showing a large atmospheric loading of coarse dust. We obtain gridded datasets of dust emission, vertically integrated loading, dust aerosol optical depth, (surface) concentration, and wet and dry deposition fluxes that are resolved by season and particle size. As our results indicate that this dataset is more accurate than current model simulations and the MERRA-2 dust reanalysis product, it can be used to improve quantifications of dust impacts on the Earth system.                     </p></article>", "keywords": ["Atmospheric sciences", "550", "QC1-999", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria agroaliment\u00e0ria::Ci\u00e8ncies de la terra i de la vida", "Dust emissions", "01 natural sciences", "Earth system -- environmental sciences", "Atmospheric Sciences", "Dust; Aerosol; Climate Models; Earth System Models;", "Atmospheric models", "Simulaci\u00f3 per ordinador", "Meteorology & Atmospheric Sciences", "Atmospheric model simulations", "QD1-999", "Earth system", "0105 earth and related environmental sciences", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "info:eu-repo/classification/ddc/550", "Atmosphere", "Climate change science", "ddc:550", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "Physics", "Dust", "Computer simulation", "15. Life on land", "Atmosfera -- Aspectes ambientals", "520", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "Climate Action", "Earth sciences", "Chemistry", "Model simulation", "13. Climate action", ":Enginyeria agroaliment\u00e0ria::Ci\u00e8ncies de la terra i de la vida [\u00c0rees tem\u00e0tiques de la UPC]", "Earth Sciences", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental::Contaminaci\u00f3 atmosf\u00e8rica", "Aerosols--Measurement", "Desert dust", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment", "Astronomical and Space Sciences", ":Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental::Contaminaci\u00f3 atmosf\u00e8rica [\u00c0rees tem\u00e0tiques de la UPC]"]}, "links": [{"href": "https://boa.unimib.it/bitstream/10281/321612/2/10281-321612_VoR.pdf"}, {"href": "https://acp.copernicus.org/articles/21/8127/2021/acp-21-8127-2021.pdf"}, {"href": "https://acp.copernicus.org/articles/21/8127/2021/acp-21-8127-2021-supplement.pdf"}, {"href": "https://escholarship.org/content/qt5g7457v8/qt5g7457v8.pdf"}, {"href": "https://doi.org/10.5194/acp-21-8127-2021"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/acp-21-8127-2021", "name": "item", "description": "10.5194/acp-21-8127-2021", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/acp-21-8127-2021"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-11-23T00:00:00Z"}}, {"id": "10.5194/bg-19-3505-2022", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:24:19Z", "type": "Journal Article", "created": "2022-07-28", "title": "Reviews and syntheses: The promise of big diverse soil data, moving current practices towards future potential", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. In the age of big data, soil data are more available and richer than ever, but \u2013 outside of a few large soil survey resources \u2013 they remain largely unusable for informing soil management and understanding Earth system processes beyond the original study. Data science has promised a fully reusable research pipeline where data from past studies are used to contextualize new findings and reanalyzed for new insight. Yet synthesis projects encounter challenges at all steps of the data reuse pipeline, including unavailable data, labor-intensive transcription of datasets, incomplete metadata, and a lack of communication between collaborators. Here, using insights from a diversity of soil, data, and climate scientists, we summarize current practices in soil data synthesis across all stages of database creation: availability, input, harmonization, curation, and publication. We then suggest new soil-focused semantic tools to improve existing data pipelines, such as ontologies, vocabulary lists, and community practices. Our goal is to provide the soil data community with an overview of current practices in soil data and where we need to go to fully leverage big data to solve soil problems in the next century.                     </p></article>", "keywords": ["FOS: Computer and information sciences", "0301 basic medicine", "Data Sharing", "Information Systems and Management", "literature review", "1904 Earth-Surface Processes", "Social Sciences", "data set", "01 natural sciences", "Decision Sciences", "Data science", "Life", "QH501-531", "910 Geography & travel", "soil analysis", "database", "QH540-549.5", "2. Zero hunger", "QE1-996.5", "000", "Ecology", "communication", "Physics", "Earth", "Geology", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "World Wide Web", "10122 Institute of Geography", "soil survey", "Physical Sciences", "Data Reuse", "environment", "Information Systems", "Evolution", "future prospect", "Data management", "Data Sharing and Stewardship in Science", "Database", "Big data", "03 medical and health sciences", "Behavior and Systematics", "Data mining", "0105 earth and related environmental sciences", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "Management and Reproducibility of Scientific Workflows", "Metadata", "Data curation", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "Acoustics", "15. Life on land", "Computer science", "1105 Ecology", " Evolution", " Behavior and Systematics", "Surface Processes", "Harmonization", "FOS: Biological sciences", "Computer Science", "Environmental Science", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "soil management", "Research Data", "Environmental DNA in Biodiversity Monitoring"]}, "links": [{"href": "https://doi.org/10.5194/bg-19-3505-2022"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-19-3505-2022", "name": "item", "description": "10.5194/bg-19-3505-2022", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-19-3505-2022"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-07-28T00:00:00Z"}}, {"id": "10.5194/bg-13-3619-2016", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:24:18Z", "type": "Journal Article", "created": "2016-06-21", "title": "No-tillage lessens soil CO2 emissions the most under arid and sandy soil conditions: results from a meta-analysis", "description": "<p>Abstract. The management of agroecosystems plays a crucial role in the global carbon cycle with soil tillage leading to known organic carbon redistributions within soils and changes in soil CO2 emissions. Yet, discrepancies exist on the impact of tillage on soil CO2 emissions and on the main soil and environmental controls. A meta-analysis was conducted using 46 peer-reviewed publications totaling 174 paired observations comparing CO2 emissions over entire seasons or years from tilled and untilled soils across different climates, crop types and soil conditions with the objective of quantifying tillage impact on CO2 emissions and assessing the main controls. On average, tilled soils emitted 21\uffe2\uff80\uffaf% more CO2 than untilled soils, which corresponded to a significant difference at P&lt;0.05. The difference increased to 29\uffe2\uff80\uffaf% in sandy soils from arid climates with low soil organic carbon content (SOCC\uffe2\uff80\uffaf&lt;\uffe2\uff80\uffaf1\uffe2\uff80\uffaf%) and low soil moisture, but tillage had no impact on CO2 fluxes in clayey soils with high background SOCC (&gt;\uffe2\uff80\uffaf3\uffe2\uff80\uffaf%). Finally, nitrogen fertilization and crop residue management had little effect on the CO2 responses of soils to no-tillage. These results suggest no-tillage is an effective mitigation measure of carbon dioxide losses from dry land soils. They emphasize the importance of including information on soil factors such as texture, aggregate stability and organic carbon content in global models of the carbon cycle.                     </p>", "keywords": ["550", "Soil Science", "CO2 emissions", "630", "soil", "information", "12. Responsible consumption", "Soil", "Life", "QH501-531", "QH540-549.5", "2. Zero hunger", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "QE1-996.5", "Ecology", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "Geology", "04 agricultural and veterinary sciences", "15. Life on land", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment"]}, "links": [{"href": "https://doi.org/10.5194/bg-13-3619-2016"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-13-3619-2016", "name": "item", "description": "10.5194/bg-13-3619-2016", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-13-3619-2016"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-09-18T00:00:00Z"}}, {"id": "10.5194/gmd-7-2875-2014", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:24:34Z", "type": "Journal Article", "created": "2014-12-05", "description": "<p>Abstract. Ecosystems are important and dynamic components of the global carbon cycle, and terrestrial biospheric models (TBMs) are crucial tools in further understanding of how terrestrial carbon is stored and exchanged with the atmosphere across a variety of spatial and temporal scales. Improving TBM skills, and quantifying and reducing their estimation uncertainties, pose significant challenges. The Multi-scale Synthesis and Terrestrial Model Intercomparison Project (MsTMIP) is a formal multi-scale and multi-model intercomparison effort set up to tackle these challenges. The MsTMIP protocol prescribes standardized environmental driver data that are shared among model teams to facilitate model\uffe2\uff80\uff93model and model\uffe2\uff80\uff93observation comparisons. This paper describes the global and North American environmental driver data sets prepared for the MsTMIP activity to both support their use in MsTMIP and make these data, along with the processes used in selecting/processing these data, accessible to a broader audience. Based on project needs and lessons learned from past model intercomparison activities, we compiled climate, atmospheric CO2 concentrations, nitrogen deposition, land use and land cover change (LULCC), C3 / C4 grasses fractions, major crops, phenology and soil data into a standard format for global (0.5\uffc2\uffb0 \uffc3\uff97 0.5\uffc2\uffb0 resolution) and regional (North American: 0.25\uffc2\uffb0 \uffc3\uff97 0.25\uffc2\uffb0 resolution) simulations. In order to meet the needs of MsTMIP, improvements were made to several of the original environmental data sets, by improving the quality, and/or changing their spatial and temporal coverage, and resolution. The resulting standardized model driver data sets are being used by over 20 different models participating in MsTMIP. The data are archived at the Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC, http://daac.ornl.gov) to provide long-term data management and distribution.                     </p>", "keywords": ["[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "QE1-996.5", "550", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "0207 environmental engineering", "Geology", "02 engineering and technology", "15. Life on land", "01 natural sciences", "QK Botany", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "QC Physics", "13. Climate action", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://openknowledge.nau.edu/id/eprint/701/7/Wei_Y_etal_2014_North_American_Carbon_Program%281%29.pdf"}, {"href": "https://doi.org/10.5194/gmd-7-2875-2014"}, {"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-7-2875-2014", "name": "item", "description": "10.5194/gmd-7-2875-2014", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/gmd-7-2875-2014"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-11-04T00:00:00Z"}}, {"id": "10.5194/bg-3-571-2006", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:24:21Z", "type": "Journal Article", "created": "2010-04-29", "description": "<p>Abstract. Eddy covariance technique to measure CO2, water and energy fluxes between biosphere and atmosphere is widely spread and used in various regional networks. Currently more than 250 eddy covariance sites are active around the world measuring carbon exchange at high temporal resolution for different biomes and climatic conditions. In this paper a new standardized set of corrections is introduced and the uncertainties associated with these corrections are assessed for eight different forest sites in Europe with a total of 12 yearly datasets. The uncertainties introduced on the two components GPP (Gross Primary Production) and TER (Terrestrial Ecosystem Respiration) are also discussed and a quantitative analysis presented. Through a factorial analysis we find that generally, uncertainties by different corrections are additive without interactions and that the heuristic u*-correction introduces the largest uncertainty. The results show that a standardized data processing is needed for an effective comparison across biomes and for underpinning inter-annual variability. The methodology presented in this paper has also been integrated in the European database of the eddy covariance measurements.                     </p>", "keywords": ["european database of the eddy covariance measurements", "550", "net ecosystem exchange", "Molecular Biology/Biochemistry [q-bio.BM]", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "[SDU.ASTR] Sciences of the Universe [physics]/Astrophysics [astro-ph]", "[PHYS.ASTR.CO]Physics [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO]", "Life", "QH501-531", "[SDV.BBM.BC] Life Sciences [q-bio]/Biochemistry", " Molecular Biology/Biochemistry [q-bio.BM]", "QH540-549.5", "eddy covariance technique", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "QE1-996.5", "algorithm", "[SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph]", "Ecology", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "500", "Geology", "15. Life on land", "terrestrial ecosystem respiration", "gross primary production", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "[SDV.BBM.BC]Life Sciences [q-bio]/Biochemistry", "[PHYS.ASTR.CO] Physics [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO]", "13. Climate action", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "co2", "measurement", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment"]}, "links": [{"href": "https://doi.org/10.5194/bg-3-571-2006"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-3-571-2006", "name": "item", "description": "10.5194/bg-3-571-2006", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-3-571-2006"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2006-11-27T00:00:00Z"}}, {"id": "10.5194/bg-4-891-2007", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:24:21Z", "type": "Journal Article", "created": "2010-04-29", "description": "<p>Abstract. Ecosystems in dry regions are generally low in productivity and carbon (C) storage. We report, however, large increases in C sequestration following afforestation of a semi-arid shrubland with Pinus halepensis trees. Using C and nitrogen (N) inventories, based in part on site-specific allometric equations, we measured an increase in the standing ecosystem C stock from 2380 g C m\uffe2\uff88\uff922 in the shrubland to 5840 g C m\uffe2\uff88\uff922 in the forest after 35 years, with no significant change in N stocks. Carbon sequestration following afforestation was associated with increased N use efficiency as reflected by an overall increase in C/N ratio from 7.6 in the shrubland to 16.6 in the forest. The C accumulation rate in the forest was particularly high for soil organic C (SOC; increase of 1760 g C m\uffe2\uff88\uff922 or 50 g C m\uffe2\uff88\uff922 yr\uffe2\uff88\uff921), which was associated with the following factors: 1) Analysis of a small 13C signal within this pure C3 system combined with size fractionation of soil organic matter indicated a significant addition of new SOC derived from forest vegetation (68% of total forest SOC) and a considerable portion of the old original shrubland SOC (53%) still remaining in the forest. 2) A large part of both new and old SOC appeared to be protected from decomposition as about 60% of SOC under both land-use types were in mineral-associated fractions. 3) A short-term decomposition study indicated decreased decomposition of lower-quality litter and SOC in the forest, based on reduced decay rates of up to 90% for forest compared to shrubland litter. 4) Forest soil included a significant component of live and dead roots (12% of total SOC). Our results suggest a role for increased N use efficiency, enhanced SOC protection and reduced decomposition rates in the large C sequestration potential following afforestation in semi-arid regions. These results are particularly relevant in light of persistent predictions of drying trends in the Mediterranean and other regions.                     </p>", "keywords": ["0106 biological sciences", "2. Zero hunger", "QE1-996.5", "Ecology", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "Geology", "04 agricultural and veterinary sciences", "15. Life on land", "[SDU.ASTR] Sciences of the Universe [physics]/Astrophysics [astro-ph]", "01 natural sciences", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "Life", "[PHYS.ASTR.CO] Physics [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO]", "13. Climate action", "QH501-531", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "0401 agriculture", " forestry", " and fisheries", "QH540-549.5"], "contacts": [{"organization": "Gr\u00fcnzweig, J. M., Gelfand, I., Fried, Y., Yakir, D.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5194/bg-4-891-2007"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-4-891-2007", "name": "item", "description": "10.5194/bg-4-891-2007", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-4-891-2007"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-10-24T00:00:00Z"}}, {"id": "10.5194/egusphere-2022-1414", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:24:22Z", "type": "Journal Article", "created": "2023-02-20", "title": "Modeling dust mineralogical composition: sensitivity to soil mineralogy atlases and their expected climate impacts", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Soil dust aerosols are a key component of the climate system, as they interact with short- and long-wave radiation, alter cloud formation processes, affect atmospheric chemistry and play a role in biogeochemical cycles by providing nutrient inputs such as iron and phosphorus. The influence of dust on these processes depends on its physico-chemical properties, which far from being homogeneous, are shaped by its regionally varying mineral composition. The relative amount of minerals in dust depends on the source region and shows a large geographical variability. However, many state-of-the-art Earth System Models (ESMs), upon which climate analyses and projections rely, still consider dust mineralogy as invariant. The explicit representation of minerals in ESMs is more hindered by our limited knowledge of the global soil composition along with the resulting size-resolved airborne mineralogy than by computational constraints. In this work, we introduce an explicit mineralogy representation within the state-of-the-art atmosphere-chemistry model MONARCH. We review and compare two existing soil mineralogy datasets, which remain a source of uncertainty for dust mineralogy modelling, and provide an evaluation of multi-annual simulations against available mineralogy observations. Soil mineralogy datasets are based on measurements performed after wet sieving, which breaks the aggregates found in the parent soil. Our model predicts the emitted particle size distribution (PSD) in terms of its constituent minerals based on Brittle Fragmentation Theory (BFT), which reconstructs the emitted mineral aggregates destroyed by wet sieving. Our simulations broadly reproduce the most abundant mineral fractions, independently of the soil composition data used. Feldspars and calcite are highly sensitive to the soil mineralogy map, mainly due to the different assumptions made in each soil dataset to extrapolate a handful of soil measurements to arid and semiarid regions worldwide. For the least abundant or more difficult to determine minerals, such as the iron oxides, uncertainties in soil mineralogy yield differences in annual mean aerosol mass fractions of up to \u223c100 %. Although BFT restores coarse aggregates including phyllosilicates that usually break during soil analysis, we still identify an overestimation of coarse quartz mass fractions (above 2 \u00b5m in diameter). In a dedicated experiment, we estimate the fraction of dust with undetermined composition as given by a soil map, which makes a \u223c10 % of the emitted dust mass at the global scale, and can be regionally larger. Changes in the underlying soil mineralogy impact our estimates of climate-relevant variables, particularly affecting the regional variability of the single scattering albedo at solar wavelengths, or the total iron deposited over oceans. All in all, this assessment represents a baseline for future model experiments including new mineralogical maps constrained by high quality spaceborne hyperspectral measurements, such as those arising from the NASA EMIT mission.                         </p></article>", "keywords": ["Mineral dusts", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "info:eu-repo/classification/ddc/550", "550", "Atmosphere", "ddc:550", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "Physics", "QC1-999", "Climatologia -- Models matem\u00e0tics", "Aerosols atmosf\u00e8rics", "15. Life on land", "Atmospheric aerosols", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "Climatology -- Mathematical models", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Enginyeria ambiental", "Earth sciences", "Chemistry", "13. Climate action", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "Pols minerals", "environment", "QD1-999"]}, "links": [{"href": "https://acp.copernicus.org/articles/23/8623/2023/acp-23-8623-2023.pdf"}, {"href": "https://doi.org/10.5194/egusphere-2022-1414"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/egusphere-2022-1414", "name": "item", "description": "10.5194/egusphere-2022-1414", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/egusphere-2022-1414"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-02-20T00:00:00Z"}}, {"id": "10.5194/essd-12-61-2020", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:24:29Z", "type": "Journal Article", "created": "2020-01-06", "title": "An open-source database for the synthesis of soil radiocarbon data: International Soil Radiocarbon Database (ISRaD) version 1.0", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Radiocarbon is a critical constraint on our estimates of the timescales of soil carbon cycling that can aid in identifying mechanisms of carbon stabilization and destabilization and improve the forecast of soil carbon response to management or environmental change. Despite the wealth of soil radiocarbon data that have been reported over the past 75\u00a0years, the ability to apply these data to global-scale questions is limited by our capacity to synthesize and compare measurements generated using a variety of methods. Here, we present the International Soil Radiocarbon Database (ISRaD; http://soilradiocarbon.org, last access: 16\u00a0December\u00a02019), an open-source archive of soil data that include reported measurements from bulk soils, distinct soil carbon pools isolated in the laboratory by a variety of soil fractionation methods, samples of soil gas or water collected interstitially from within an intact soil profile, CO2 gas isolated from laboratory soil incubations, and fluxes collected in situ from a soil profile. The core of ISRaD is a relational database structured around individual datasets (entries) and organized hierarchically to report soil radiocarbon data, measured at different physical and temporal scales as well as other soil or environmental properties that may also be measured and may assist with interpretation and context. Anyone may contribute their own data to the database by entering it into the ISRaD template and subjecting it to quality assurance protocols. ISRaD can be accessed through (1)\u00a0a web-based interface, (2)\u00a0an R package (ISRaD), or (3)\u00a0direct access to code and data through the GitHub repository, which hosts both code and data. The design of ISRaD allows for participants to become directly involved in the management, design, and application of ISRaD data. The synthesized dataset is available in two forms: the original data as reported by the authors of the datasets and an enhanced dataset that includes ancillary geospatial data calculated within the ISRaD framework. ISRaD also provides data management tools in the ISRaD-R package that provide a starting point for data analysis; as an open-source project, the broader soil community is invited and encouraged to add data, tools, and ideas for improvement. As a whole, ISRaD provides resources to aid our evaluation of soil dynamics across a range of spatial and temporal scales. The ISRaD v1.0 dataset is archived and freely available at https://doi.org/10.5281/zenodo.2613911 (Lawrence et al., 2019).                     </p></article>", "keywords": ["2. Zero hunger", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "QE1-996.5", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "ddc:550", "Geology", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "Panoply", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "004", "Environmental sciences", "13. Climate action", "11. Sustainability", "0401 agriculture", " forestry", " and fisheries", "GE1-350", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://essd.copernicus.org/articles/12/61/2020/essd-12-61-2020.pdf"}, {"href": "https://doi.org/10.5194/essd-12-61-2020"}, {"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-12-61-2020", "name": "item", "description": "10.5194/essd-12-61-2020", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/essd-12-61-2020"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-06T00:00:00Z"}}, {"id": "10.5194/gmd-11-3903-2018", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:24:32Z", "type": "Journal Article", "created": "2018-09-27", "title": "GOLUM-CNP v1.0: a data-driven modeling of carbon, nitrogen and phosphorus cycles in major terrestrial biomes", "description": "<p>Abstract. Global terrestrial nitrogen (N) and phosphorus (P) cycles are coupled to the global carbon (C) cycle for net primary production (NPP), plant C allocation, and decomposition of soil organic matter, but N and P have distinct pathways of inputs and losses. Current C-nutrient models exhibit large uncertainties in their estimates of pool sizes, fluxes, and turnover rates of nutrients, due to a lack of consistent global data for evaluating the models. In this study, we present a new model\uffe2\uff80\uff93data fusion framework called the Global Observation-based Land-ecosystems Utilization Model of Carbon, Nitrogen and Phosphorus (GOLUM-CNP) that combines the CARbon DAta MOdel fraMework (CARDAMOM) data-constrained C-cycle analysis with spatially explicit data-driven estimates of N and P inputs and losses and with observed stoichiometric ratios. We calculated the steady-state N- and P-pool sizes and fluxes globally for large biomes. Our study showed that new N inputs from biological fixation and deposition supplied &gt;20\uffe2\uff80\uff89% of total plant uptake in most forest ecosystems but accounted for smaller fractions in boreal forests and grasslands. New P inputs from atmospheric deposition and rock weathering supplied a much smaller fraction of total plant uptake than new N inputs, indicating the importance of internal P recycling within ecosystems to support plant growth. Nutrient-use efficiency, defined as the ratio of gross primary production (GPP) to plant nutrient uptake, were diagnosed from our model results and compared between biomes. Tropical forests had the lowest N-use efficiency and the highest P-use efficiency of the forest biomes. An analysis of sensitivity and uncertainty indicated that the NPP-allocation fractions to leaves, roots, and wood contributed the most to the uncertainties in the estimates of nutrient-use efficiencies. Correcting for biases in NPP-allocation fractions produced more plausible gradients of N- and P-use efficiencies from tropical to boreal ecosystems and highlighted the critical role of accurate measurements of C allocation for understanding the N and P cycles.                     </p>", "keywords": ["Atmospheric sciences", "550", "Organic chemistry", "Carbon Dynamics in Peatland Ecosystems", "Deposition (geology)", "01 natural sciences", "Nutrient cycle", "Agricultural and Biological Sciences", "Terrestrial ecosystem", "Biome", "Taiga", "2. Zero hunger", "QE1-996.5", "Ecology", "Primary production", "Nutrient Cycling", "Life Sciences", "Phosphorus", "Geology", "Carbon cycle", "Nitrogen Cycle", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "Chemistry", "Physical Sciences", "environment", "Ecosystem Functioning", "Biogeochemical Cycling of Nutrients in Aquatic Ecosystems", "Nitrogen", "Soil Science", "Environmental science", "Environmental Chemistry", "New production", "Soil Carbon Sequestration", "Biology", "Ecosystem", "0105 earth and related environmental sciences", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "ddc:550", "Nitrogen Dynamics", "Paleontology", "FOS: Earth and related environmental sciences", "15. Life on land", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Phytoplankton", "Sediment", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "Nutrient"]}, "links": [{"href": "https://gmd.copernicus.org/articles/11/3903/2018/gmd-11-3903-2018.pdf"}, {"href": "https://doi.org/10.5194/gmd-11-3903-2018"}, {"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-11-3903-2018", "name": "item", "description": "10.5194/gmd-11-3903-2018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/gmd-11-3903-2018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-03-22T00:00:00Z"}}, {"id": "10.5194/gmd-11-937-2018", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:24:32Z", "type": "Journal Article", "created": "2018-03-15", "title": "ORCHIDEE-SOM: modeling soil organic carbon (SOC) and dissolved organic carbon (DOC) dynamics along vertical soil profiles in Europe", "description": "<p>Abstract. Current land surface models (LSMs) typically represent soils in a\uffc2\uffa0very simplistic way, assuming soil organic carbon (SOC) as a\uffc2\uffa0bulk, and thus impeding a\uffc2\uffa0correct representation of deep soil carbon dynamics. Moreover, LSMs generally neglect the production and export of dissolved organic carbon (DOC) from soils to rivers, leading to overestimations of the potential carbon sequestration on land. This common oversimplified processing of SOC in LSMs is partly responsible for the large uncertainty in the predictions of the soil carbon response to climate change. In this study, we present a\uffc2\uffa0new soil carbon module called ORCHIDEE-SOM, embedded within the land surface model ORCHIDEE, which is able to reproduce the DOC and SOC dynamics in a\uffc2\uffa0vertically discretized soil to 2\uffe2\uff80\uffafm. The model includes processes of biological production and consumption of SOC and DOC, DOC adsorption on and desorption from soil minerals, diffusion of SOC and DOC, and DOC transport with water through and out of the soils to rivers. We evaluated ORCHIDEE-SOM against observations of DOC concentrations and SOC stocks from four European sites with different vegetation covers: a\uffc2\uffa0coniferous forest, a\uffc2\uffa0deciduous forest, a\uffc2\uffa0grassland, and a\uffc2\uffa0cropland. The model was able to reproduce the SOC stocks along their vertical profiles at the four sites and the DOC concentrations within the range of measurements, with the exception of the DOC concentrations in the upper soil horizon at the coniferous forest. However, the model was not able to fully capture the temporal dynamics of DOC concentrations. Further model improvements should focus on a\uffc2\uffa0plant- and depth-dependent parameterization of the new input model parameters, such as the turnover times of DOC and the microbial carbon use efficiency. We suggest that this new soil module, when parameterized for global simulations, will improve the representation of the global carbon cycle in LSMs, thus helping to constrain the predictions of the future SOC response to global warming.                     </p>", "keywords": ["550", "/dk/atira/pure/core/keywords/nachhaltigkeitswissenschaft; name=Sustainability Science", "Climate", "/dk/atira/pure/discipline/B000/B006/B410-bodembeheer", "01 natural sciences", "/dk/atira/pure/thematic/inbo_th_00043", "/dk/atira/pure/thematic/inbo_th_00022", "SDG 13 - Climate Action", "/dk/atira/pure/sustainabledevelopmentgoals/climate_action; name=SDG 13 - Climate Action", "/dk/atira/pure/subjectarea/asjc/2600/2611; name=Modelling and Simulation", "0105 earth and related environmental sciences", "2. Zero hunger", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "Woods and parks", "QE1-996.5", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "Physics", "/dk/atira/pure/sustainabledevelopmentgoals/life_on_land; name=SDG 15 - Life on Land", "Geology", "Geokemi", "04 agricultural and veterinary sciences", "15. Life on land", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "Sciences de la terre et du cosmos", "Geochemistry", "/dk/atira/pure/subjectarea/asjc/1900; name=Earth and Planetary Sciences(all)", "13. Climate action", "8. Economic growth", "0401 agriculture", " forestry", " and fisheries", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment", "B410-soil-science"]}, "links": [{"href": "https://gmd.copernicus.org/articles/11/937/2018/gmd-11-937-2018.pdf"}, {"href": "https://dipot.ulb.ac.be/dspace/bitstream/2013/282703/1/doi_266330.pdf"}, {"href": "https://doi.org/10.5194/gmd-11-937-2018"}, {"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-11-937-2018", "name": "item", "description": "10.5194/gmd-11-937-2018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/gmd-11-937-2018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-11-16T00:00:00Z"}}, {"id": "10.5194/gmd-13-805-2020", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:24:33Z", "type": "Journal Article", "created": "2020-03-02", "title": "Development and testing scenarios for implementing  land use and land cover changes during the Holocene  in Earth system model experiments", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Anthropogenic changes in land use and land cover\u00a0(LULC) during the pre-industrial Holocene could have affected regional and global climate. Existing scenarios of LULC changes during the Holocene are based on relatively simple assumptions and highly uncertain estimates of population changes through time. Archaeological and palaeoenvironmental reconstructions have the potential to refine these assumptions and estimates. The Past Global Changes\u00a0(PAGES) LandCover6k initiative is working towards improved reconstructions of LULC globally. In this paper, we document the types of archaeological data that are being collated and how they will be used to improve LULC reconstructions. Given the large methodological uncertainties involved, both in reconstructing LULC from the archaeological data and in implementing these reconstructions into global scenarios of LULC, we propose a protocol to evaluate the revised scenarios using independent pollen-based reconstructions of land cover and climate. Further evaluation of the revised scenarios involves carbon cycle model simulations to determine whether the LULC reconstructions are consistent with constraints provided by ice core records of CO2 evolution and modern-day LULC. Finally, the protocol outlines how the improved LULC reconstructions will be used in palaeoclimate simulations in the Palaeoclimate Modelling Intercomparison Project to quantify the magnitude of anthropogenic impacts on climate through time and ultimately to improve the realism of Holocene climate simulations.                     </p></article>", "keywords": ["[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "QE1-996.5", "550", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "Geology", "Arqueologia", "15. Life on land", "ddc:910", "01 natural sciences", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "S\u00f2l", " \u00das del", "13. Climate action", "SDG 13 - Climate Action", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment", "SDG 15 - Life on Land", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://eprints.gla.ac.uk/210927/1/210927.pdf"}, {"href": "https://eprints.bournemouth.ac.uk/33591/1/gmd-13-805-2020.pdf"}, {"href": "https://gmd.copernicus.org/articles/13/805/2020/gmd-13-805-2020.pdf"}, {"href": "https://doi.org/10.5194/gmd-13-805-2020"}, {"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-13-805-2020", "name": "item", "description": "10.5194/gmd-13-805-2020", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/gmd-13-805-2020"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-03-02T00:00:00Z"}}, {"id": "10.5194/hess-2019-105", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:24:34Z", "type": "Journal Article", "created": "2019-04-23", "title": "An evapotranspiration model self-calibrated from remotely sensed surface soil moisture, land surface temperature and vegetation cover fraction: application to disaggregated SMOS and MODIS data", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Thermal-based two-source energy balance modeling is very useful for estimating the land evapotranspiration (ET) at a wide range of spatial and temporal scales. However, the land surface temperature (LST) is not sufficient for constraining simultaneously both soil and vegetation flux components in such a way that assumptions (on either the soil or the vegetation fluxes) are commonly required. To avoid such assumptions, a new energy balance model (TSEB-SM) was recently developed in Ait Hssaine et al. (2018a) to integrate the microwave-derived near-surface soil moisture (SM), in addition to the thermal-derived LST and vegetation cover fraction (fc). Whereas, TSEB-SM has been recently tested using in-situ measurements, the objective of this paper is to evaluate the performance of TSEB-SM in real-life using 1\u2009km resolution MODIS (Moderate resolution imaging spectroradiometer) LST and fc data and the 1\u2009km resolution SM data disaggregated from SMOS (Soil Moisture and Ocean Salinity) observations by using DisPATCh. The approach is applied during a four-year period (2014\u20132018) over a rainfed wheat field in the Tensift basin, central Morocco, during a four-year period (2014\u20132018). The field was seeded for the 2014\u20132015 (S1), 2016\u20132017 (S2) and 2017\u20132018 (S3) agricultural season, while it was not ploughed (remained as bare soil) during the 2015\u20132016 (B1) agricultural season. The mean retrieved values of (arss, brss) calculated for the entire study period using satellite data are (7.32, 4.58). The daily calibrated \u03b1PT ranges between 0 and 1.38 for both S1 and S2. Its temporal variability is mainly attributed to the rainfall distribution along the agricultural season. For S3, the daily retrieved \u03b1PT remains at a mostly constant value (\u223c\u20090.7) throughout the study period, because of the lack of clear sky disaggregated SM and LST observations during this season. Compared to eddy covariance measurements, TSEB driven only by LST and fc data significantly overestimates latent heat fluxes for the four seasons. The overall mean bias values are 119, 94, 128 and 181\u2009W/m2 for S1, S2, S3 and B1 respectively. In contrast, these errors are much reduced when using TSEB-SM (SM and LST combined data) with the mean bias values estimated as 39, 4, 7 and 62\u2009W/m2 for S1, S2, S3 and B1 respectively.                         </p></article>", "keywords": ["Technology", "Atmospheric sciences", "550", "Soil Moisture", "0208 environmental biotechnology", "02 engineering and technology", "Environmental technology. Sanitary engineering", "01 natural sciences", "Engineering", "Geography. Anthropology. Recreation", "Pathology", "GE1-350", "TD1-1066", "2. Zero hunger", "Global and Planetary Change", "Water content", "Evapotranspiration", "Geography", "Ecology", "T", "Soil Water Retention", "Moderate-resolution imaging spectroradiometer", "Hydrology (agriculture)", "Geology", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "Aerospace engineering", "Physical Sciences", "Medicine", "environment", "Vegetation (pathology)", "Latent heat", "Mechanics and Transport in Unsaturated Soils", "Land cover", "Environmental Engineering", "0207 environmental engineering", "Energy balance", "Thermal Effects on Soil", "Environmental science", "[SDU] Sciences of the Universe [physics]", "G", "Meteorology", "Civil engineering", "14. Life underwater", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "Biology", "Civil and Structural Engineering", "0105 earth and related environmental sciences", "Global Forest Drought Response and Climate Change", "FOS: Environmental engineering", "FOS: Earth and related environmental sciences", "15. Life on land", "Remote Sensing of Soil Moisture", "Environmental sciences", "Geotechnical engineering", "[SDU]Sciences of the Universe [physics]", "Satellite", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Land use", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "FOS: Civil engineering"]}, "links": [{"href": "https://hess.copernicus.org/articles/24/1781/2020/hess-24-1781-2020.pdf"}, {"href": "https://doi.org/10.5194/hess-2019-105"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/hess-2019-105", "name": "item", "description": "10.5194/hess-2019-105", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/hess-2019-105"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-04-23T00:00:00Z"}}, {"id": "10.5194/hess-24-1781-2020", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:24:35Z", "type": "Journal Article", "created": "2019-04-23", "title": "An evapotranspiration model self-calibrated from remotely sensed surface soil moisture, land surface temperature and vegetation cover fraction: application to disaggregated SMOS and MODIS data", "description": "<p>Abstract. Thermal-based two-source energy balance modeling is very useful for estimating the land evapotranspiration (ET) at a wide range of spatial and temporal scales. However, the land surface temperature (LST) is not sufficient for constraining simultaneously both soil and vegetation flux components in such a way that assumptions (on either the soil or the vegetation fluxes) are commonly required. To avoid such assumptions, a new energy balance model (TSEB-SM) was recently developed in Ait Hssaine et al. (2018a) to integrate the microwave-derived near-surface soil moisture (SM), in addition to the thermal-derived LST and vegetation cover fraction (fc). Whereas, TSEB-SM has been recently tested using in-situ measurements, the objective of this paper is to evaluate the performance of TSEB-SM in real-life using 1\uffe2\uff80\uff89km resolution MODIS (Moderate resolution imaging spectroradiometer) LST and fc data and the 1\uffe2\uff80\uff89km resolution SM data disaggregated from SMOS (Soil Moisture and Ocean Salinity) observations by using DisPATCh. The approach is applied during a four-year period (2014\uffe2\uff80\uff932018) over a rainfed wheat field in the Tensift basin, central Morocco, during a four-year period (2014\uffe2\uff80\uff932018). The field was seeded for the 2014\uffe2\uff80\uff932015 (S1), 2016\uffe2\uff80\uff932017 (S2) and 2017\uffe2\uff80\uff932018 (S3) agricultural season, while it was not ploughed (remained as bare soil) during the 2015\uffe2\uff80\uff932016 (B1) agricultural season. The mean retrieved values of (arss, brss) calculated for the entire study period using satellite data are (7.32, 4.58). The daily calibrated \uffce\uffb1PT ranges between 0 and 1.38 for both S1 and S2. Its temporal variability is mainly attributed to the rainfall distribution along the agricultural season. For S3, the daily retrieved \uffce\uffb1PT remains at a mostly constant value (\uffe2\uff88\uffbc\uffe2\uff80\uff890.7) throughout the study period, because of the lack of clear sky disaggregated SM and LST observations during this season. Compared to eddy covariance measurements, TSEB driven only by LST and fc data significantly overestimates latent heat fluxes for the four seasons. The overall mean bias values are 119, 94, 128 and 181\uffe2\uff80\uff89W/m2 for S1, S2, S3 and B1 respectively. In contrast, these errors are much reduced when using TSEB-SM (SM and LST combined data) with the mean bias values estimated as 39, 4, 7 and 62\uffe2\uff80\uff89W/m2 for S1, S2, S3 and B1 respectively.                         </p>", "keywords": ["Technology", "Atmospheric sciences", "550", "Soil Moisture", "0208 environmental biotechnology", "02 engineering and technology", "Environmental technology. Sanitary engineering", "01 natural sciences", "Engineering", "Geography. Anthropology. Recreation", "Pathology", "GE1-350", "TD1-1066", "2. Zero hunger", "Global and Planetary Change", "Water content", "Evapotranspiration", "Geography", "Ecology", "T", "Soil Water Retention", "Moderate-resolution imaging spectroradiometer", "Hydrology (agriculture)", "Geology", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "Aerospace engineering", "Physical Sciences", "Medicine", "environment", "Vegetation (pathology)", "Latent heat", "Mechanics and Transport in Unsaturated Soils", "Land cover", "Environmental Engineering", "0207 environmental engineering", "Energy balance", "Thermal Effects on Soil", "Environmental science", "[SDU] Sciences of the Universe [physics]", "G", "Meteorology", "Civil engineering", "14. Life underwater", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "Biology", "Civil and Structural Engineering", "0105 earth and related environmental sciences", "Global Forest Drought Response and Climate Change", "FOS: Environmental engineering", "FOS: Earth and related environmental sciences", "15. Life on land", "Remote Sensing of Soil Moisture", "Environmental sciences", "Geotechnical engineering", "[SDU]Sciences of the Universe [physics]", "Satellite", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Land use", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "FOS: Civil engineering"]}, "links": [{"href": "https://hess.copernicus.org/articles/24/1781/2020/hess-24-1781-2020.pdf"}, {"href": "https://doi.org/10.5194/hess-24-1781-2020"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/hess-24-1781-2020", "name": "item", "description": "10.5194/hess-24-1781-2020", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/hess-24-1781-2020"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-04-23T00:00:00Z"}}, {"id": "2809132863", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:29:48Z", "type": "Journal Article", "created": "2018-06-19", "title": "Combining a Two Source Energy Balance Model Driven by MODIS and MSG-SEVIRI Products with an Aggregation Approach to Estimate Turbulent Fluxes over Sparse and Heterogeneous Vegetation in Sahel Region (Niger)", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Estimates of turbulent fluxes (i.e., sensible and latent heat fluxes H and LE) over heterogeneous surfaces is not an easy task. The heterogeneity caused by the contrast in vegetation, hydric and soil conditions can generate a large spatial variability in terms of surface\u2013atmosphere interactions. This study considered the issue of using a thermal-based two-source energy model (TSEB) driven by MODIS (Moderate resolution Imaging Spectroradiometer) and MSG (Meteosat Second Generation) observations in conjunction with an aggregation scheme to derive area-averaged H and LE over a heterogeneous watershed in Niamey, Niger (Wankama catchment). Data collected in the context of the African Monsoon Multidisciplinary Analysis (AMMA) program, including a scintillometry campaign, were used to test the proposed approach. The model predictions of area-averaged turbulent fluxes were compared to data acquired by a Large Aperture Scintillometer (LAS) set up over a transect about 3.2 km-long and spanning three vegetation types (millet, fallow and degraded shrubs). First, H and LE fluxes were estimated at the MSG-SEVIRI grid scale by neglecting explicitly the subpixel heterogeneity. Moreover, the impact of upscaling the model\u2019s inputs was investigated using in-situ input data and three aggregation schemes of increasing complexity based on MODIS products: a simple averaging of inputs at the MODIS resolution scale, another simple averaging scheme that considers scintillometer footprint extent, and the weighted average of inputs based on the footprint weighting function. The H and LE simulated using the footprint weighted method were more accurate than for the two other aggregation rules despite the heterogeneity of the landscape. The statistical values are: correlation coefficient (R) = 0.71, root mean square error (RMSE) = 63 W/m2 and mean bias error (MBE) = \u221223 W/m2 for H and an R = 0.82, RMSE = 88 W/m2 and MBE = 45 W/m2 for LE. This study opens perspectives for the monitoring of convective and evaporative fluxes over heterogeneous landscape based on medium resolution satellite products.</p></article>", "keywords": ["550", "Science", "0207 environmental engineering", "02 engineering and technology", "551", "01 natural sciences", "7. Clean energy", "TSEB model", "aggregation schemes", "scintillometry", "non-uniform and heterogeneous surfaces", "11. Sustainability", "heterogeneous surfaces", "0105 earth and related environmental sciences", "Q", "SEVIRI", "15. Life on land", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "3. Good health", "non-uniform and", "MODIS", "13. Climate action", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "regional surfaces fluxes", "environment"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/10/6/974/pdf"}, {"href": "https://doi.org/2809132863"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2809132863", "name": "item", "description": "2809132863", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2809132863"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-06-19T00:00:00Z"}}, {"id": "20.500.11850/391266", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:29:13Z", "type": "Journal Article", "created": "2020-01-06", "title": "An open-source database for the synthesis of soil radiocarbon data: International Soil Radiocarbon Database (ISRaD) version 1.0", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Radiocarbon is a critical constraint on our estimates of the timescales of soil carbon cycling that can aid in identifying mechanisms of carbon stabilization and destabilization and improve the forecast of soil carbon response to management or environmental change. Despite the wealth of soil radiocarbon data that have been reported over the past 75\u00a0years, the ability to apply these data to global-scale questions is limited by our capacity to synthesize and compare measurements generated using a variety of methods. Here, we present the International Soil Radiocarbon Database (ISRaD; http://soilradiocarbon.org, last access: 16\u00a0December\u00a02019), an open-source archive of soil data that include reported measurements from bulk soils, distinct soil carbon pools isolated in the laboratory by a variety of soil fractionation methods, samples of soil gas or water collected interstitially from within an intact soil profile, CO2 gas isolated from laboratory soil incubations, and fluxes collected in situ from a soil profile. The core of ISRaD is a relational database structured around individual datasets (entries) and organized hierarchically to report soil radiocarbon data, measured at different physical and temporal scales as well as other soil or environmental properties that may also be measured and may assist with interpretation and context. Anyone may contribute their own data to the database by entering it into the ISRaD template and subjecting it to quality assurance protocols. ISRaD can be accessed through (1)\u00a0a web-based interface, (2)\u00a0an R package (ISRaD), or (3)\u00a0direct access to code and data through the GitHub repository, which hosts both code and data. The design of ISRaD allows for participants to become directly involved in the management, design, and application of ISRaD data. The synthesized dataset is available in two forms: the original data as reported by the authors of the datasets and an enhanced dataset that includes ancillary geospatial data calculated within the ISRaD framework. ISRaD also provides data management tools in the ISRaD-R package that provide a starting point for data analysis; as an open-source project, the broader soil community is invited and encouraged to add data, tools, and ideas for improvement. As a whole, ISRaD provides resources to aid our evaluation of soil dynamics across a range of spatial and temporal scales. The ISRaD v1.0 dataset is archived and freely available at https://doi.org/10.5281/zenodo.2613911 (Lawrence et al., 2019).</p></article>", "keywords": ["2. Zero hunger", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "QE1-996.5", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "ddc:550", "Geology", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "Panoply", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "004", "Environmental sciences", "13. Climate action", "11. Sustainability", "0401 agriculture", " forestry", " and fisheries", "GE1-350", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://essd.copernicus.org/articles/12/61/2020/essd-12-61-2020.pdf"}, {"href": "https://doi.org/20.500.11850/391266"}, {"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": "20.500.11850/391266", "name": "item", "description": "20.500.11850/391266", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.11850/391266"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-06T00:00:00Z"}}, {"id": "10067/1865430151162165141", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:28:05Z", "type": "Journal Article", "created": "2021-12-10", "title": "Towards women-inclusive ecology: Representation, behavior, and perception of women at an international conference", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Conferences are ideal platforms for studying gender gaps in science because they are important cultural events that reflect barriers to women in academia. Here, we explored women\u2019s participation in ecology conferences by analyzing female representation, behavior, and personal experience at the 1st Meeting of the Iberian Society of Ecology (SIBECOL). The conference had 722 attendees, 576 contributions, and 27 scientific sessions. The gender of attendees and presenters was balanced (48/52% women/men), yet only 29% of the contributions had a woman as last author. Moreover, men presented most of the keynote talks (67%) and convened most of the sessions. Our results also showed that only 32% of the questions were asked by women, yet the number of questions raised by women increased when the speaker or the convener was a woman. Finally, the post-conference survey revealed that attendees had a good experience and did not perceive the event as a threatening context for women. Yet, differences in the responses between genders suggest that women tended to have a worse experience than their male counterparts. Although our results showed clear gender biases, most of the participants of the conference failed to detect it. Overall, we highlight the challenge of increasing women\u2019s scientific leadership, visibility and interaction in scientific conferences and we suggest several recommendations for creating inclusive meetings, thereby promoting equal opportunities for all participants.</p></article>", "keywords": ["Ecolog\u00eda (Biolog\u00eda)", "Male", "0301 basic medicine", "Science", "Sexism", "03 medical and health sciences", "5. Gender equality", "Humans", "10. No inequality", "Biology", "Women-inclusive ecology", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "Behavior", "0303 health sciences", "000", "Ecology", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "Q", "R", "Ecolog\u00eda", "16. Peace & justice", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "Leadership", "2401.06 Ecolog\u00eda animal", "Academic conferences", "Medicine", "504.75", "Female", "Perception", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment", "Engineering sciences. Technology", "Research Article"]}, "links": [{"href": "https://doi.org/10067/1865430151162165141"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PLOS%20ONE", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10067/1865430151162165141", "name": "item", "description": "10067/1865430151162165141", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10067/1865430151162165141"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-10T00:00:00Z"}}, {"id": "3128171785", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:30:14Z", "type": "Journal Article", "created": "2021-02-06", "title": "Feasibility of the 4 per 1000 aspirational target for soil carbon: A case study for France", "description": "Abstract<p>Increasing soil organic carbon (SOC) stocks is a promising way to mitigate the increase in atmospheric CO2 concentration. Based on a simple ratio between CO2 anthropogenic emissions and SOC stocks worldwide, it has been suggested that a 0.4% (4 per 1000) yearly increase in SOC stocks could compensate for current anthropogenic CO2 emissions. Here, we used a reverse RothC modelling approach to estimate the amount of C inputs to soils required to sustain current SOC stocks and to increase them by 4\uffe2\uff80\uffb0 per year over a period of 30\uffc2\uffa0years. We assessed the feasibility of this aspirational target first by comparing the required C input with net primary productivity (NPP) flowing to the soil, and second by considering the SOC saturation concept. Calculations were performed for mainland France, at a 1\uffc2\uffa0km grid cell resolution. Results showed that a 30%\uffe2\uff80\uff9340% increase in C inputs to soil would be needed to obtain a 4\uffe2\uff80\uffb0 increase per year over a 30\uffe2\uff80\uff90year period. 88.4% of cropland areas were considered unsaturated in terms of mineral\uffe2\uff80\uff90associated SOC, but characterized by a below target C balance, that is, less NPP available than required to reach the 4\uffe2\uff80\uffb0 aspirational target. Conversely, 90.4% of unimproved grasslands were characterized by an above target C balance, that is, enough NPP to reach the 4\uffe2\uff80\uffb0 objective, but 59.1% were also saturated. The situation of improved grasslands and forests was more evenly distributed among the four categories (saturated vs. unsaturated and above vs below target C balance). Future data from soil monitoring networks should enable to validate these results. Overall, our results suggest that, for mainland France, priorities should be (1) to increase NPP returns in cropland soils that are unsaturated and have a below target carbon balance and (2) to preserve SOC stocks in other land uses.</p", "keywords": ["[SDV.SA]Life Sciences [q-bio]/Agricultural sciences", "Carbon Sequestration", "550", "[SDE.MCG]Environmental Sciences/Global Changes", "RothC", "01 natural sciences", "630", "climate change mitigation", "12. Responsible consumption", "Soil", "11. Sustainability", "4 per 1000", "net primary productivity", "0105 earth and related environmental sciences", "2. Zero hunger", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "[SDV.SA] Life Sciences [q-bio]/Agricultural sciences", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "04 agricultural and veterinary sciences", "15. Life on land", "Primary Research Articles", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "Carbon", "soil organic carbon", "[SDE.MCG] Environmental Sciences/Global Changes", "13. Climate action", "SOC saturation", "Feasibility Studies", "0401 agriculture", " forestry", " and fisheries", "France", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.15547"}, {"href": "https://doi.org/3128171785"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3128171785", "name": "item", "description": "3128171785", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3128171785"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-04-08T00:00:00Z"}}, {"id": "10.60692/g4rcv-eqz54", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:27:42Z", "type": "Journal Article", "created": "2019-04-23", "title": "An evapotranspiration model self-calibrated from remotely sensed surface soil moisture, land surface temperature and vegetation cover fraction: application to disaggregated SMOS and MODIS data", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Thermal-based two-source energy balance modeling is very useful for estimating the land evapotranspiration (ET) at a wide range of spatial and temporal scales. However, the land surface temperature (LST) is not sufficient for constraining simultaneously both soil and vegetation flux components in such a way that assumptions (on either the soil or the vegetation fluxes) are commonly required. To avoid such assumptions, a new energy balance model (TSEB-SM) was recently developed in Ait Hssaine et al. (2018a) to integrate the microwave-derived near-surface soil moisture (SM), in addition to the thermal-derived LST and vegetation cover fraction (fc). Whereas, TSEB-SM has been recently tested using in-situ measurements, the objective of this paper is to evaluate the performance of TSEB-SM in real-life using 1\u2009km resolution MODIS (Moderate resolution imaging spectroradiometer) LST and fc data and the 1\u2009km resolution SM data disaggregated from SMOS (Soil Moisture and Ocean Salinity) observations by using DisPATCh. The approach is applied during a four-year period (2014\u20132018) over a rainfed wheat field in the Tensift basin, central Morocco, during a four-year period (2014\u20132018). The field was seeded for the 2014\u20132015 (S1), 2016\u20132017 (S2) and 2017\u20132018 (S3) agricultural season, while it was not ploughed (remained as bare soil) during the 2015\u20132016 (B1) agricultural season. The mean retrieved values of (arss, brss) calculated for the entire study period using satellite data are (7.32, 4.58). The daily calibrated \u03b1PT ranges between 0 and 1.38 for both S1 and S2. Its temporal variability is mainly attributed to the rainfall distribution along the agricultural season. For S3, the daily retrieved \u03b1PT remains at a mostly constant value (\u223c\u20090.7) throughout the study period, because of the lack of clear sky disaggregated SM and LST observations during this season. Compared to eddy covariance measurements, TSEB driven only by LST and fc data significantly overestimates latent heat fluxes for the four seasons. The overall mean bias values are 119, 94, 128 and 181\u2009W/m2 for S1, S2, S3 and B1 respectively. In contrast, these errors are much reduced when using TSEB-SM (SM and LST combined data) with the mean bias values estimated as 39, 4, 7 and 62\u2009W/m2 for S1, S2, S3 and B1 respectively.</p></article>", "keywords": ["Technology", "Atmospheric sciences", "550", "Soil Moisture", "0208 environmental biotechnology", "02 engineering and technology", "Environmental technology. Sanitary engineering", "01 natural sciences", "Engineering", "Geography. Anthropology. Recreation", "Pathology", "GE1-350", "TD1-1066", "2. Zero hunger", "Global and Planetary Change", "Water content", "Evapotranspiration", "Geography", "Ecology", "T", "Soil Water Retention", "Moderate-resolution imaging spectroradiometer", "Hydrology (agriculture)", "Geology", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "Aerospace engineering", "Physical Sciences", "Medicine", "environment", "Vegetation (pathology)", "Latent heat", "Mechanics and Transport in Unsaturated Soils", "Land cover", "Environmental Engineering", "0207 environmental engineering", "Energy balance", "Thermal Effects on Soil", "Environmental science", "[SDU] Sciences of the Universe [physics]", "G", "Meteorology", "Civil engineering", "14. Life underwater", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "Biology", "Civil and Structural Engineering", "0105 earth and related environmental sciences", "Global Forest Drought Response and Climate Change", "FOS: Environmental engineering", "FOS: Earth and related environmental sciences", "15. Life on land", "Remote Sensing of Soil Moisture", "Environmental sciences", "Geotechnical engineering", "[SDU]Sciences of the Universe [physics]", "Satellite", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Land use", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "FOS: Civil engineering"]}, "links": [{"href": "https://hess.copernicus.org/articles/24/1781/2020/hess-24-1781-2020.pdf"}, {"href": "https://doi.org/10.60692/g4rcv-eqz54"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.60692/g4rcv-eqz54", "name": "item", "description": "10.60692/g4rcv-eqz54", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.60692/g4rcv-eqz54"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-04-23T00:00:00Z"}}, {"id": "10.60692/5feqz-9r143", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:27:42Z", "type": "Journal Article", "created": "2021-01-26", "title": "How much carbon can be added to soil by sorption?", "description": "Abstract<p>Quantifying the upper limit of stable soil carbon storage is essential for guiding policies to increase soil carbon storage. One pool of carbon considered particularly stable across climate zones and soil types is formed when dissolved organic carbon sorbs to minerals. We quantified, for the first time, the potential of mineral soils to sorb additional dissolved organic carbon (DOC) for six soil orders. We compiled 402 laboratory sorption experiments to estimate the additional DOC sorption potential, that is the potential of excess DOC sorption in addition to the existing background level already sorbed in each soil sample. We estimated this potential using gridded climate and soil geochemical variables within a machine learning model. We find that mid- and low-latitude soils and subsoils have a greater capacity to store DOC by sorption compared to high-latitude soils and topsoils. The global additional DOC sorption potential for six soil orders is estimated to be 107 $$ pm$$                   \uffc2\uffb1                  13 Pg C to 1\uffc2\uffa0m depth. If this potential was realized, it would represent a 7% increase in the existing total carbon stock.</p", "keywords": ["550", "Mineral association", "Organic chemistry", "Carbon Dynamics in Peatland Ecosystems", "Markvetenskap", "01 natural sciences", "7. Clean energy", "Agricultural and Biological Sciences", "Soil water", "11. Sustainability", "Carbon fibers", "Water Science and Technology", "2. Zero hunger", "Latitude", "Ecology", "Total organic carbon", "Life Sciences", "Composite number", "Geology", "04 agricultural and veterinary sciences", "Saturation", "Milj\u00f6vetenskap", "Soil carbon", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "Algorithm", "Chemistry", "Physical Sciences", "Environmental chemistry", "Sorption", "Additional sorption potential", "environment", "Geodesy", "Biogeochemical Cycling of Nutrients in Aquatic Ecosystems", "Soil Science", "Environmental science", "FOS: Mathematics", "Environmental Chemistry", "14. Life underwater", "Soil Carbon Sequestration", "Earth-Surface Processes", "0105 earth and related environmental sciences", "Soil science", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "Atmosphere", "Soil organic carbon", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "FOS: Earth and related environmental sciences", "15. Life on land", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "0401 agriculture", " forestry", " and fisheries", "Adsorption", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "Dissolved organic carbon", "Environmental Sciences", "Mathematics"]}, "links": [{"href": "http://link.springer.com/content/pdf/10.1007/s10533-021-00759-x.pdf"}, {"href": "https://doi.org/10.60692/5feqz-9r143"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.60692/5feqz-9r143", "name": "item", "description": "10.60692/5feqz-9r143", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.60692/5feqz-9r143"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-26T00:00:00Z"}}, {"id": "10261/269611", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:28:11Z", "type": "Journal Article", "created": "2022-03-17", "title": "The influence of pH on dissolved organic matter fluorescence in inland waters", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Fluorescence is an easily available analytical technique used to assess the optical characteristics of dissolved organic matter (DOM).</p></article>", "keywords": ["[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "570", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "Hydrogen-Ion Concentration", "Milj\u00f6vetenskap", "Dissolved Organic Matter", "01 natural sciences", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "Lakes", "13. Climate action", "14. Life underwater", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "Organic Chemicals", "environment", "Environmental Sciences", "Humic Substances", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://pubs.rsc.org/en/content/articlepdf/2022/AY/D1AY01702K"}, {"href": "https://doi.org/10261/269611"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Analytical%20Methods", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/269611", "name": "item", "description": "10261/269611", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/269611"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "10256/20664", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:28:08Z", "type": "Journal Article", "created": "2021-08-07", "title": "Groundwater antibiotic pollution and its relationship with dissolved organic matter: Identification and environmental implications", "description": "The occurrence of veterinary antibiotics and hydro-chemical parameters in eleven natural springs in a livestock production area is evaluated, jointly with the characterization of their DOM fingerprint by Orbitrap HRMS. Tetracycline and sulfonamide antibiotics were ubiquitous in all sites, and they were detected at low ng L-1 concentrations, except for doxycycline, that was present at \u03bcg L-1 in one location. DOM analysis revealed that most molecular formulas were CHO compounds (49 %-68\u00a0%), with a remarkable percentage containing nitrogen and sulphur (16 %-23\u00a0% and 11 %-24\u00a0%, respectively). Major DOM components were phenolic and highly unsaturated compounds (~90\u00a0%), typical for soil-derived organic matter, while approximately 11\u00a0% were unsaturated aliphatic, suggesting that springs may be susceptible to anthropogenic contamination sources. Comparing the DOM fingerprint among sites, the spring showing the most different profile was the one with surface water interaction and characterized by having lower CHO and higher CHOS formulas and aliphatic compounds. Correlations between antibiotics and DOM showed that tetracyclines positively correlate with unsaturated oxygen-rich substances, while sulfonamides relate with aliphatic and unsaturated oxygen-poor compounds. This indicates that the fate of different antibiotics will be controlled by the type of DOM present in groundwater.", "keywords": ["High-resolution mass spectrometry", "550", "Contaminants emergents en l'aigua", "Antibi\u00f2tics", "02 engineering and technology", "01 natural sciences", "630", "Soil", "Antibiotics", "Groundwater -- Pollution", "Co-transport", "Dissolved organic matter", "Groundwater", "0105 earth and related environmental sciences", "2. Zero hunger", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "Emerging contaminants in water", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "Anti-Bacterial Agents", "Water quality", "13. Climate action", "Aig\u00fces subterr\u00e0nies -- Contaminaci\u00f3", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "0210 nano-technology", "environment", "Water Pollutants", " Chemical", "Environmental Monitoring"]}, "links": [{"href": "https://doi.org/10256/20664"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Pollution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10256/20664", "name": "item", "description": "10256/20664", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10256/20664"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-01T00:00:00Z"}}, {"id": "10261/215719", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:28:10Z", "type": "Journal Article", "created": "2020-06-18", "title": "Influence of Dissolved Organic Matter Sources on In-Stream Net Dissolved Organic Carbon Uptake in a Mediterranean Stream", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Studies exploring how different sources of dissolved organic matter (DOM) influence in-stream dissolved organic carbon (DOC) uptake at the ecosystem scale are scarce in the literature. To fill this knowledge gap, we examined the relationship between DOM sources and in-stream net DOC uptake (UDOC) in a sub-humid Mediterranean stream. We considered four reach-scale scenarios occurring under natural conditions that differed in predominant DOM sources (groundwater, leaf litter, and/or upstream water). Results showed that groundwater inputs favored in-stream net DOC uptake, while leaf litter inputs promoted in-stream net DOC release. However, there was no clear effect of DOM source mixing on the magnitude of UDOC. Further, the variability in UDOC within and among scenarios was mostly explained by stream DOC concentration, suggesting that DOC availability limits microbial activity in this stream. DOM composition became a controlling factor of UDOC variability only during the leaf litter period, when stream DOC concentration was the highest. Together, these results suggest that the capacity of headwater forested streams to process DOC is closely tied to the availability of different DOM sources and how they vary over time and along the river network.</p></article>", "keywords": ["[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "leaf litter", "carbon availability", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "577", "Leaf litter", "910", "15. Life on land", "dissolved organic carbon", "01 natural sciences", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "Dissolved organic matter composition", "groundwater inputs", "13. Climate action", "Groundwater inputs", "dissolved organic matter composition", "In-stream net uptake", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "Dissolved organic carbon", "environment", "in-stream net uptake", "Carbon availability", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/12/6/1722/pdf"}, {"href": "https://www.mdpi.com/2073-4441/12/6/1722/pdf"}, {"href": "https://doi.org/10261/215719"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/215719", "name": "item", "description": "10261/215719", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/215719"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-06-17T00:00:00Z"}}, {"id": "10278/5031900", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:28:22Z", "type": "Journal Article", "created": "2022-12-12", "title": "Pulse, Shunt and Storage: Hydrological Contraction Shapes Processing and Export of Particulate Organic Matter in River Networks", "description": "Abstract<p>Streams and rivers act as landscape-scale bioreactors processing large quantities of terrestrial particulate organic matter (POM). This function is linked to their flow regime, which governs residence times, shapes organic matter reactivity and controls the amount of carbon (C) exported to the atmosphere and coastal oceans. Climate change impacts flow regimes by increasing both flash floods and droughts. Here, we used a modelling approach to explore the consequences of lateral hydrological contraction, that is, the reduction of the wet portion of the streambed, for POM decomposition and transport at the river network scale. Our model integrates seasonal leaf litter input as generator of POM, transient storage of POM on wet and dry streambed portions with associated decomposition and ensuing changes in reactivity, and transport dynamics through a dendritic river network. Simulations showed that the amount of POM exported from the river network and its average reactivity increased with lateral hydrological contraction, due to the combination of (1) low processing of POM while stored on dry streambeds, and (2) large shunting during flashy events. The sensitivity analysis further supported that high lateral hydrological contraction leads to higher export of higher reactivity POM, regardless of transport coefficient values, average reactivity of fresh leaf litter and differences between POM reactivity under wet and dry conditions. Our study incorporates storage in dry streambed areas into the pulse-shunt concept (Raymond and others in Ecology 97(1):5\uffe2\uff80\uff9316, 2016. https://doi.org/10.1890/14-1684.1), providing a mechanistic framework and testable predictions about leaf litter storage, transport and decomposition in fluvial networks.</p", "keywords": ["DECOMPOSITION", "DYNAMICS", "0106 biological sciences", "330", "FLOW", "WOOD", "01 natural sciences", "Modelling", "Article", "LEAF", "preconditioning", "leaf litter; stream; catchment; organic carbon; organic matter degradation; carbon cycling; preconditioning; flow intermittence; modelling", "HETEROGENEITY", "Organic carbon", "organic matter degradation", "0105 earth and related environmental sciences", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "CARBON FLUXES", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "Leaf litter", "Carbon cycle", "15. Life on land", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "flow intermittence", "6. Clean water", "13. Climate action", "STREAM", "Stream", "Catchments", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment"]}, "links": [{"href": "https://iris.unive.it/bitstream/10278/5031900/2/Catalan_et_al_Ecosystems_2023.pdf"}, {"href": "https://link.springer.com/content/pdf/10.1007/s10021-022-00802-4.pdf"}, {"href": "https://doi.org/10278/5031900"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecosystems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10278/5031900", "name": "item", "description": "10278/5031900", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10278/5031900"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-12-12T00:00:00Z"}}, {"id": "10281/321610", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:28:22Z", "type": "Journal Article", "created": "2021-01-18", "title": "Contribution of the world's main dust source regions to the global cycle of desert dust", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Even though desert dust is the most abundant aerosol by mass in Earth's atmosphere, the relative contributions of the world\u2019s major dust source regions to the global dust cycle remain poorly constrained. This problem hinders accounting for the potentially large impact of regional differences in dust properties on clouds, the Earth's energy balance, and terrestrial and marine biogeochemical cycles. Here, we constrain the contribution of each of the world\u2019s main dust source regions to the global dust cycle. We use an analytical framework that integrates an ensemble of global model simulations with observationally informed constraints on the dust size distribution, extinction efficiency, and regional dust aerosol optical depth. We obtain a data set that constrains the relative contribution of each of nine major source regions to size-resolved dust emission, atmospheric loading, optical depth, concentration, and deposition flux. We find that the 22\u201329\u2009Tg (one standard error range) global loading of dust with geometric diameter up to 20\u2009\u03bcm is partitioned as follows: North African source regions contribute ~50\u2009% (11\u201315\u2009Tg), Asian source regions contribute ~40\u2009% (8\u201313\u2009Tg), and North American and Southern Hemisphere regions contribute ~10\u2009% (1.8\u20133.2\u2009Tg). Current models might on average be overestimating the contribution of North African sources to atmospheric dust loading at ~65\u2009%, while underestimating the contribution of Asian dust at ~30\u2009%. However, both our results and current models could be affected by unquantified biases, such as due to errors in separating dust aerosol optical depth from that produced by other aerosol species in remote sensing retrievals in poorly observed desert regions. Our results further show that each source region's dust loading peaks in local spring and summer, which is partially driven by increased dust lifetime in those seasons. We also quantify the dust deposition flux to the Amazon rainforest to be ~10\u2009Tg/year, which is a factor of 2\u20133 less than inferred from satellite data by previous work that likely overestimated dust deposition by underestimating the dust mass extinction efficiency. The data obtained in this paper can be used to obtain improved constraints on dust impacts on clouds, climate, biogeochemical cycles, and other parts of the Earth system.</p></article>", "keywords": ["550", "3702 Climate change science (for-2020)", "QC1-999", "Global dust cycle", "0201 Astronomical and Space Sciences (for)", "0401 Atmospheric Sciences (for)", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria agroaliment\u00e0ria::Ci\u00e8ncies de la terra i de la vida", "3701 Atmospheric Sciences (for-2020)", "01 natural sciences", "Meteorology & Atmospheric Sciences (science-metrix)", "Atmospheric Sciences", "Atmospheric models", "Earth's atmosphere", "Simulaci\u00f3 per ordinador", "14 Life Below Water (sdg)", "Meteorology & Atmospheric Sciences", "Dust; Aerosols; Climate Models; Earth System Models;", "14. Life underwater", "Life Below Water", "QD1-999", "0105 earth and related environmental sciences", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "info:eu-repo/classification/ddc/550", "3701 Atmospheric sciences (for-2020)", "Climate change science", "Atmosphere", "ddc:550", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "Physics", "Aerosol model simulations", "15. Life on land", "Atmosfera -- Aspectes ambientals", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "Climate Action", "Earth sciences", "Chemistry", "37 Earth Sciences (for-2020)", "13. Climate action", ":Enginyeria agroaliment\u00e0ria::Ci\u00e8ncies de la terra i de la vida [\u00c0rees tem\u00e0tiques de la UPC]", "Air quality", "Earth Sciences", "13 Climate Action (sdg)", "Aerosols--Measurement", "Desert dust", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment", "Astronomical and Space Sciences"]}, "links": [{"href": "https://boa.unimib.it/bitstream/10281/321610/1/Kok_2021_ACP_Dust-global.pdf"}, {"href": "https://acp.copernicus.org/articles/21/8169/2021/acp-21-8169-2021.pdf"}, {"href": "https://acp.copernicus.org/articles/21/8169/2021/acp-21-8169-2021-supplement.pdf"}, {"href": "https://escholarship.org/content/qt31s4c3tr/qt31s4c3tr.pdf"}, {"href": "https://escholarship.org/content/qt4f95b02f/qt4f95b02f.pdf"}, {"href": "https://doi.org/10281/321610"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Goldschmidt2021%20abstracts", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10281/321610", "name": "item", "description": "10281/321610", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10281/321610"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10281/321612", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:28:22Z", "type": "Journal Article", "created": "2021-05-27", "title": "Improved representation of the global dust cycle using observational constraints on dust properties and abundance", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Even though desert dust is the most abundant aerosol by mass in Earth's atmosphere, atmospheric models struggle to accurately represent its spatial and temporal distribution. These model errors are partially caused by fundamental difficulties in simulating dust emission in coarse-resolution models and in accurately representing dust microphysical properties. Here we mitigate these problems by developing a new methodology that yields an improved representation of the global dust cycle. We present an analytical framework that uses inverse modeling to integrate an ensemble of global model simulations with observational constraints on the dust size distribution, extinction efficiency, and regional dust aerosol optical depth. We then compare the inverse model results against independent measurements of dust surface concentration and deposition flux and find that errors are reduced by approximately a factor of 2\u00a0relative to current model simulations of the Northern Hemisphere dust cycle. The inverse model results show smaller improvements in the less dusty Southern Hemisphere, most likely because both the model simulations and the observational constraints used in the inverse model are less accurate. On a global basis, we find that the emission flux of dust with a geometric diameter up to 20\u2009\u00b5m (PM20) is approximately 5000\u2009Tg\u2009yr\u22121, which is greater than most models account for. This larger PM20 dust flux is needed to match observational constraints showing a large atmospheric loading of coarse dust. We obtain gridded datasets of dust emission, vertically integrated loading, dust aerosol optical depth, (surface) concentration, and wet and dry deposition fluxes that are resolved by season and particle size. As our results indicate that this dataset is more accurate than current model simulations and the MERRA-2 dust reanalysis product, it can be used to improve quantifications of dust impacts on the Earth system.</p></article>", "keywords": ["Atmospheric sciences", "550", "QC1-999", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria agroaliment\u00e0ria::Ci\u00e8ncies de la terra i de la vida", "Dust emissions", "01 natural sciences", "Earth system -- environmental sciences", "Atmospheric Sciences", "Dust; Aerosol; Climate Models; Earth System Models;", "Atmospheric models", "Simulaci\u00f3 per ordinador", "Meteorology & Atmospheric Sciences", "Atmospheric model simulations", "QD1-999", "Earth system", "0105 earth and related environmental sciences", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "info:eu-repo/classification/ddc/550", "Atmosphere", "Climate change science", "ddc:550", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "Physics", "Dust", "Computer simulation", "15. Life on land", "Atmosfera -- Aspectes ambientals", "520", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "Climate Action", "Earth sciences", "Chemistry", "Model simulation", "13. Climate action", ":Enginyeria agroaliment\u00e0ria::Ci\u00e8ncies de la terra i de la vida [\u00c0rees tem\u00e0tiques de la UPC]", "Earth Sciences", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental::Contaminaci\u00f3 atmosf\u00e8rica", "Aerosols--Measurement", "Desert dust", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment", "Astronomical and Space Sciences", ":Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental::Contaminaci\u00f3 atmosf\u00e8rica [\u00c0rees tem\u00e0tiques de la UPC]"]}, "links": [{"href": "https://boa.unimib.it/bitstream/10281/321612/2/10281-321612_VoR.pdf"}, {"href": "https://acp.copernicus.org/articles/21/8127/2021/acp-21-8127-2021.pdf"}, {"href": "https://acp.copernicus.org/articles/21/8127/2021/acp-21-8127-2021-supplement.pdf"}, {"href": "https://escholarship.org/content/qt5g7457v8/qt5g7457v8.pdf"}, {"href": "https://doi.org/10281/321612"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10281/321612", "name": "item", "description": "10281/321612", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10281/321612"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-11-23T00:00:00Z"}}, {"id": "10568/135827", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:28:32Z", "type": "Journal Article", "created": "2023-10-15", "title": "Global observation gaps of peatland greenhouse gas balances: needs and obstacles", "description": "Abstract           <p>Greenhouse gas (GHGs) emissions from peatlands contribute significantly to ongoing climate change because of human land use. To develop reliable and comprehensive estimates and predictions of GHG emissions from peatlands, it is necessary to have GHG observations, including carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O), that cover different peatland types globally. We synthesize published peatland studies with field GHG flux measurements to identify gaps in observations and suggest directions for future research. Although GHG flux measurements have been conducted at numerous sites globally, substantial gaps remain in current observations, encompassing various peatland types, regions and GHGs. Generally, there is a pressing need for additional GHG observations in Africa, Latin America and the Caribbean regions. Despite widespread measurements of CO2 and CH4, studies quantifying N2O emissions from peatlands are scarce, particularly in natural ecosystems. To expand the global coverage of peatland data, it is crucial to conduct more eddy covariance observations for long-term monitoring. Automated chambers are preferable for plot-scale observations to produce high temporal resolution data; however, traditional field campaigns with manual chamber measurements remain necessary, particularly in remote areas. To ensure that the data can be further used for modeling purposes, we suggest that chamber campaigns should be conducted at least monthly for a minimum duration of one year with no fewer than three replicates and measure key environmental variables. In addition, further studies are needed in restored peatlands, focusing on identifying the most effective restoration approaches for different ecosystem types, conditions, climates, and land use histories.</p", "keywords": ["Atmospheric sciences", "tourbi\u00e8re", "Chamber ; CH ; Article ; Eddy covariance ; Land use ; N ; CO", "t\u00e9l\u00e9d\u00e9tection", "Carbon Dynamics in Peatland Ecosystems", "Eddy covariance", "01 natural sciences", "Importance of Mangrove Ecosystems in Coastal Protection", "11. Sustainability", "http://aims.fao.org/aos/agrovoc/c_5083", "Climate change", "gaz \u00e0 effet de serre", "http://aims.fao.org/aos/agrovoc/c_34841", "http://aims.fao.org/aos/agrovoc/c_12457", "http://aims.fao.org/aos/agrovoc/c_6498", "changement climatique", "Global and Planetary Change", "Ecology", "instrument de mesure", "Geology", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "http://aims.fao.org/aos/agrovoc/c_2482", "http://aims.fao.org/aos/agrovoc/c_4221", "http://aims.fao.org/aos/agrovoc/c_4182", "Physical Sciences", "http://aims.fao.org/aos/agrovoc/c_4668", "http://aims.fao.org/aos/agrovoc/c_1556", "environment", "P02 - Pollution", "570", "http://aims.fao.org/aos/agrovoc/c_13929", "P40 - M\u00e9t\u00e9orologie et climatologie", "\u00e9cosyst\u00e8me", "Greenhouse gas", "utilisation des terres", "Article", "Environmental science", "Methane Emissions", "Impact of Climate Change on Forest Wildfires", "dioxyde de carbone", "greenhouse gases", "http://aims.fao.org/aos/agrovoc/c_1302", "http://aims.fao.org/aos/agrovoc/c_1666", "Biology", "peatlands", "Ecosystem", "Land use", " land-use change and forestry", "0105 earth and related environmental sciences", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "mesure (activit\u00e9)", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "Peat", "FOS: Earth and related environmental sciences", "15. Life on land", "carbon sequestration", "Global Emissions", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Land use", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "distribution g\u00e9ographique"]}, "links": [{"href": "https://doi.org/10568/135827"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10568/135827", "name": "item", "description": "10568/135827", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10568/135827"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-10-15T00:00:00Z"}}, {"id": "11250/3119077", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:28:39Z", "type": "Journal Article", "created": "2022-08-31", "title": "A review of coarse mineral dust in the Earth system", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Mineral dust particles suspended in the atmosphere span more than three orders of magnitude in diameter, from less than 0.1 \u00b5m to more than 100 \u00b5m. This wide size range makes dust a unique aerosol species with the ability to interact with many aspects of the Earth system, including radiation, clouds, hydrology, atmospheric chemistry, and biogeochemistry. This review focuses on coarse and super-coarse dust aerosols, which we respectively define as dust particles with a diameter between 2.5 - 10 \u00b5m and 10 - 62.5 \u00b5m. We review several lines of observational evidence indicating that coarse and super-coarse dust particles are transported farther than previously expected and that the abundance of these particles is substantially underestimated in current global models. We synthesize previous studies that used observations, theories, and model simulations to highlight the impacts of coarse and super-coarse dust aerosols on the Earth system, including their effects on dust-radiation interactions, dust-cloud interactions, and atmospheric chemistry, and biogeochemistry. In addition, we examine several limitations in the representation of coarse and super-coarse dust aerosols in current model simulations and in remote-sensing retrievals. Because these limitations substantially contribute to the uncertainties in simulating the abundance and impacts of coarse and super-coarse dust aerosols, we offer some recommendations to facilitate future studies. Overall, we conclude that an accurate representation of coarse and super-coarse properties is critical in understanding the overall impacts of dust aerosols on the Earth system.</p></article>", "keywords": ["550", "Climate", "3701 Atmospheric Sciences (for-2020)", "Mineral dust", "01 natural sciences", "Atmospheric Sciences", "04 Earth Sciences (for)", "Earth system", "0105 earth and related environmental sciences", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "37 Earth sciences (for-2020)", "info:eu-repo/classification/ddc/550", "ddc:550", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "Size distribution", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "Coarse dust", "Climate Action", "Earth sciences", "37 Earth Sciences (for-2020)", "41 Environmental sciences (for-2020)", "13. Climate action", "Earth Sciences", "13 Climate Action (sdg)", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment", "Environmental Sciences", "05 Environmental Sciences (for)"]}, "links": [{"href": "https://escholarship.org/content/qt9cp497d5/qt9cp497d5.pdf"}, {"href": "https://doi.org/11250/3119077"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Aeolian%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11250/3119077", "name": "item", "description": "11250/3119077", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11250/3119077"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-09-02T00:00:00Z"}}, {"id": "2802981068", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:29:47Z", "type": "Journal Article", "created": "2018-04-19", "title": "A phenomenological model of soil evaporative efficiency using surface soil moisture and temperature data", "description": "Abstract   Modeling soil evaporation has been a notorious challenge due to the complexity of the phenomenon and the lack of data to constrain it. In this context, a parsimonious model is developed to estimate soil evaporative efficiency (SEE) defined as the ratio of actual to potential soil evaporation. It uses a soil resistance driven by surface (0\u20135\u202fcm) soil moisture, meteorological forcing and time (hour) of day, and has the capability to be calibrated using the radiometric surface temperature derived from remotely sensed thermal data. The new approach is tested over a rainfed semi-arid site, which had been under bare soil conditions during a 9-month period in 2016. Three calibration strategies are adopted based on SEE time series derived from (1) eddy-covariance measurements, (2) thermal measurements, and (3) eddy-covariance measurements used only over separate drying periods between significant rainfall events. The correlation coefficients (and slopes of the linear regression) between simulated and observed (eddy-covariance-derived) SEE are 0.85, 0.86 and 0.87 (and 0.91, 0.87 and 0.91) for calibration strategies 1, 2 and 3, respectively. Moreover, the correlation coefficient (and slope of the linear regression) between simulated and observed SEE is improved from 0.80 to 0.85 (from 0.86 to 0.91) when including hour of day in the soil resistance. The reason is that, under non-energy-limited conditions, the receding evaporation front during daytime makes SEE decrease at the hourly time scale. The soil resistance formulation can be integrated into state-of-the-art dual-source surface models and has calibration capabilities across a range of spatial scales from spaceborne microwave and thermal data.", "keywords": ["550", "0207 environmental engineering", "Soil resistance", "02 engineering and technology", "Remote sensing", "15. Life on land", "calibration", "surface temperature", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "Surface temperature", "remote sensing", "Calibration", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "soil resistance", "Soil moisture", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "soil moisture", "environment", "Soil evaporation"]}, "links": [{"href": "https://doi.org/2802981068"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20and%20Forest%20Meteorology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2802981068", "name": "item", "description": "2802981068", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2802981068"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-06-01T00:00:00Z"}}, {"id": "11585/912997", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:28:47Z", "type": "Journal Article", "created": "2022-12-02", "title": "Multi\u2010modelling predictions show high uncertainty of required carbon input changes to reach a 4\u2030 target", "description": "Abstract                                                             <p>                       Soils store vast amounts of carbon (C) on land, and increasing soil organic carbon (                       SOC                       ) stocks in already managed soils such as croplands may be one way to remove C from the atmosphere, thereby limiting subsequent warming. The main objective of this study was to estimate the amount of additional C input needed to annually increase                       SOC                       stocks by 4\uffe2\uff80\uffb0 at 16 long\uffe2\uff80\uff90term agricultural experiments in Europe, including exogenous organic matter (                       EOM                       ) additions. We used an ensemble of six                       SOC                       models and ran them under two configurations: (1) with default parametrization and (2) with parameters calibrated site\uffe2\uff80\uff90by\uffe2\uff80\uff90site to fit the evolution of                       SOC                       stocks in the control treatments (without                       EOM                       ). We compared model simulations and analysed the factors generating variability across models. The calibrated ensemble was able to reproduce the                       SOC                       stock evolution in the unfertilised control treatments. We found that, on average, the experimental sites needed an additional 1.5 \uffc2\uffb1\uffe2\uff80\uff891.2\uffc2\uffa0Mg C ha                       \uffe2\uff88\uff921                       \uffc2\uffa0year                       \uffe2\uff88\uff921                       to increase                       SOC                       stocks by 4\uffe2\uff80\uffb0 per year over 30\uffe2\uff80\uff89years, compared to the C input in the control treatments (multi\uffe2\uff80\uff90model median \uffc2\uffb1 median standard deviation across sites). That is, a 119% increase compared to the control. While mean annual temperature, initial                       SOC                       stocks and initial C input had a significant effect on the variability of the predicted C input in the default configuration (i.e., the relative standard deviation of the predicted C input from the mean), only water\uffe2\uff80\uff90related variables (i.e., mean annual precipitation and potential evapotranspiration) explained the divergence between models when calibrated. Our work highlights the challenge of increasing                       SOC                       stocks in agriculture and accentuates the need to increasingly lean on multi\uffe2\uff80\uff90model ensembles when predicting                       SOC                       stock trends and related processes. To increase the reliability of                       SOC                       models under future climate change, we suggest model developers to better constrain the effect of water\uffe2\uff80\uff90related variables on                       SOC                       decomposition.                     </p>                                                           Highlights                     <p>                                                                           <p>The feasibility of the 4\uffe2\uff80\uffb0 target was studied at 16 long\uffe2\uff80\uff90term agricultural experiments.</p>                                                                             <p>An ensemble of soil organic carbon models was used to estimate the uncertainty of the predictions.</p>                                                                             <p>On average across the sites, carbon input had to increase by 119% compared to initial conditions.</p>                                                                             <p>High uncertainty of the simulations was mainly driven by water\uffe2\uff80\uff90related variables.</p>                                                                     </p>", "keywords": ["Carbon sequestration", "550", "multi-modelling", "630", "Climate change", "agriculture", "4 per 1000 initiative; agriculture; carbon sequestration; climate change; European targets; multi-modelling; soil organic carbon", "2. Zero hunger", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "Soil organic carbon", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "carbon sequestration", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "soil organic carbon", "climate change", "4 per 1000 initiative", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Multi-modelling", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment", "European targets"]}, "links": [{"href": "https://cris.unibo.it/bitstream/11585/912997/4/European%20J%20Soil%20Science%20-%202022%20-%20Bruni%20-%20Multi%e2%80%90modelling%20predictions%20show%20high%20uncertainty%20of%20required%20carbon%20input%20changes.pdf"}, {"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/ejss.13330"}, {"href": "https://doi.org/11585/912997"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/European%20Journal%20of%20Soil%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11585/912997", "name": "item", "description": "11585/912997", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11585/912997"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-11-01T00:00:00Z"}}, {"id": "1871.1/99fbf6ac-45d6-419d-b11b-fc8a31b9e59f", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:29:00Z", "type": "Journal Article", "created": "2025-05-23", "title": "Carbon Emissions From Fires in Eastern Siberian Larch Forests", "description": "ABSTRACT<p>Siberian boreal forests have experienced increases in fire extent and intensity in recent years, which may threaten their role as carbon (C) sinks. Larch forests (Larix spp.) cover approximately 2.6 million km2 across Siberia, yet little is known about the magnitude and drivers of carbon combustion in these ecosystems. To address the paucity of field\uffe2\uff80\uff90based estimates of fuel load and consumption in Siberian larch forests, we sampled 41 burned plots, one to two years after fire, in Cajander larch (Larix cajanderi) forests in the Republic of Sakha (Yakutia), Russia. We estimated pre\uffe2\uff80\uff90fire carbon stocks and combustion with the objective of identifying the main drivers of carbon emissions. Pre\uffe2\uff80\uff90fire aboveground (trees and woody debris) and belowground carbon stocks at our study plots were 3.12\uffe2\uff80\uff89\uffc2\uffb1\uffe2\uff80\uff891.26\uffe2\uff80\uff89kg C m\uffe2\uff88\uff922 (mean\uffe2\uff80\uff89\uffc2\uffb1\uffe2\uff80\uff89standard deviation) and 3.50\uffe2\uff80\uff89\uffc2\uffb1\uffe2\uff80\uff890.93\uffe2\uff80\uff89kg C m\uffe2\uff88\uff922. We found that combustion averaged 3.20\uffe2\uff80\uff89\uffc2\uffb1\uffe2\uff80\uff890.75\uffe2\uff80\uff89kg C m\uffe2\uff88\uff922, of which 78% (2.49\uffe2\uff80\uff89\uffc2\uffb1\uffe2\uff80\uff890.56\uffe2\uff80\uff89kg C m\uffe2\uff88\uff922) stemmed from organic soil layers. These results suggest that severe fires in Cajander larch forests can result in combustion rates comparable to those observed in North American boreal forests and exceeding those previously reported for other forest types and burning conditions in Siberia. Carbon combustion was driven by both fire weather conditions and landscape variables, with pre\uffe2\uff80\uff90fire organic soil depth being the strongest predictor across our plots. Our study highlights the need to better account for Siberian larch forest fires and their impact on the carbon balance, especially given the expected climate\uffe2\uff80\uff90induced increase in fire extent and severity in this region.</p", "keywords": ["Larix cajanderi", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "eastern Siberia", "boreal forest carbon combustion climate change eastern Siberia fire severity larch forests Larix cajanderi", "Larix", "Forests", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "larch forests", "Fires", "Carbon", "Wildfires", "Siberia", "climate change", "fire severity", "Carbon combustion", "Climate change", "carbon combustion", "boreal forest", "Boreal forest", "Research Article"]}, "links": [{"href": "https://doi.org/1871.1/99fbf6ac-45d6-419d-b11b-fc8a31b9e59f"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1871.1/99fbf6ac-45d6-419d-b11b-fc8a31b9e59f", "name": "item", "description": "1871.1/99fbf6ac-45d6-419d-b11b-fc8a31b9e59f", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1871.1/99fbf6ac-45d6-419d-b11b-fc8a31b9e59f"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-05-01T00:00:00Z"}}, {"id": "1871.1/c3b579db-d9ee-49cc-91ce-d3afcf0ae422", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:29:00Z", "type": "Journal Article", "created": "2023-10-30", "title": "New ways for (in)validating the forest carbon neutrality hypothesis", "description": "Abstract<p>Over 50\uffe2\uff80\uff89years ago, Eugene Odum postulated that mature or climax forests reside in carbon neutrality. As climate change rose to prominence in the international environmental agenda, the neutrality hypothesis transformed from an ecological principle to a justification for using forest management in combating climate change. Despite persistent efforts, Odum's neutrality hypothesis has resisted both confirmation and refutation. In this opinion we show the limitations of past efforts to (in)validate Odum's neutrality hypothesis and propose new research directions for the community to permit a more general confirmation or refutation with current and near\uffe2\uff80\uff90future observations. We then demonstrate such an approach by using metabolic theory to formulate testable predictions for the total sink strength considering soil, litter, and biomass of mature or climax forests based on observations of tree biomass and individual density. In doing so, we show that ecological theory can create additional relevant, testable hypotheses to provide timely support to decision\uffe2\uff80\uff90makers seeking to address one of the world's most pressing environmental challenges.</p", "keywords": ["[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "Carbon Sequestration", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "forest management", "mature forests", "577", "15. Life on land", "Forests", "metabolic theory", "carbon sequestration", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "Carbon", "Trees", "13. Climate action", "Odum's ecological hypotheses", "Biomass", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.16982"}, {"href": "https://doi.org/1871.1/c3b579db-d9ee-49cc-91ce-d3afcf0ae422"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1871.1/c3b579db-d9ee-49cc-91ce-d3afcf0ae422", "name": "item", "description": "1871.1/c3b579db-d9ee-49cc-91ce-d3afcf0ae422", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1871.1/c3b579db-d9ee-49cc-91ce-d3afcf0ae422"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-10-30T00:00:00Z"}}, {"id": "20.500.12556/RUNG-8602-01e09528-4a45-37fd-e7b0-cc4730d2a681", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:29:19Z", "type": "Journal Article", "created": "2023-06-29", "title": "Insights into the size-resolved dust emission from field measurements in the Moroccan Sahara", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. The particle size distribution (PSD) of mineral dust has a strong effect on the impacts of dust on climate. However, our understanding of the emitted dust PSD, including its variability and the fraction of super-coarse dust (diameter &gt;10\u2009\u00b5m), remains limited. Here, we provide new insights into the size-resolved dust emission process based on a field campaign performed in the Moroccan Sahara in September\u00a02019 in the context of the FRontiers in dust minerAloGical coMposition and its Effects upoN climaTe (FRAGMENT) project. The obtained dust concentration and diffusive flux PSDs show significant dependencies upon the friction velocity (u*), wind direction and type of event (regular events versus haboob events). For instance, the number fraction of sub-micrometre particles increases with u*, along with a large decrease in the mass fraction of super-coarse dust. We identify dry deposition, which is modulated by u* and fetch length, as a potential cause for this PSD variability. Using a resistance model constrained with field observations to estimate the dry deposition flux and thereby also the emitted dust flux, we show that deposition could represent up to \u223c90\u2009% of the emission of super-coarse particles (&gt;10\u2009\u00b5m) and up to \u223c65\u2009% of the emission of particles as small as \u223c5\u2009\u00b5m in diameter. Importantly, removing the deposition component significantly reduces the variability with u* in the PSD of the emitted dust flux compared with the diffusive flux, particularly for super-coarse dust. The differences between regular and haboob event concentration and diffusive flux PSDs are suspected to result from a smaller and variable dust source fetch during the haboob events, and/or an increased resistance of soil aggregates to fragmentation associated with the observed increase in relative humidity along the haboob outflow. Finally, compared to the invariant emitted dust flux PSD estimated based on brittle fragmentation theory, we obtain a substantially higher proportion of super-micrometre particles in the dust flux. Overall, our results suggest that dry deposition needs to be adequately considered to estimate the emitted PSD, even in studies limited to the fine and coarse size ranges (&lt;10\u2009\u00b5m).</p></article>", "keywords": ["mineral dust", "Take urgent action to combat climate change and its impacts", "info:eu-repo/classification/ddc/550", "550", "ddc:550", "aerosol particles", "Physics", "QC1-999", "Pollution", "520", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "Particle size distribution (PSD)", "Dust emission", "Atmospheric mineral dust", "Earth sciences", "Chemistry", "emission processes", "13. Climate action", "info:eu-repo/classification/udc/53", "http://metadata.un.org/sdg/13", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment", "climate", "QD1-999"]}, "links": [{"href": "https://acp.copernicus.org/articles/23/7177/2023/acp-23-7177-2023.pdf"}, {"href": "https://hal.inrae.fr/hal-04158514/file/2023_Gonz%C3%A1lez-Fl%C3%B3rez.pdf"}, {"href": "https://doi.org/20.500.12556/RUNG-8602-01e09528-4a45-37fd-e7b0-cc4730d2a681"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.12556/RUNG-8602-01e09528-4a45-37fd-e7b0-cc4730d2a681", "name": "item", "description": "20.500.12556/RUNG-8602-01e09528-4a45-37fd-e7b0-cc4730d2a681", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.12556/RUNG-8602-01e09528-4a45-37fd-e7b0-cc4730d2a681"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-12-05T00:00:00Z"}}, {"id": "20.500.11850/466068", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:29:13Z", "type": "Journal Article", "created": "2020-03-02", "title": "Development and testing scenarios for implementing  land use and land cover changes during the Holocene  in Earth system model experiments", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Anthropogenic changes in land use and land cover\u00a0(LULC) during the pre-industrial Holocene could have affected regional and global climate. Existing scenarios of LULC changes during the Holocene are based on relatively simple assumptions and highly uncertain estimates of population changes through time. Archaeological and palaeoenvironmental reconstructions have the potential to refine these assumptions and estimates. The Past Global Changes\u00a0(PAGES) LandCover6k initiative is working towards improved reconstructions of LULC globally. In this paper, we document the types of archaeological data that are being collated and how they will be used to improve LULC reconstructions. Given the large methodological uncertainties involved, both in reconstructing LULC from the archaeological data and in implementing these reconstructions into global scenarios of LULC, we propose a protocol to evaluate the revised scenarios using independent pollen-based reconstructions of land cover and climate. Further evaluation of the revised scenarios involves carbon cycle model simulations to determine whether the LULC reconstructions are consistent with constraints provided by ice core records of CO2 evolution and modern-day LULC. Finally, the protocol outlines how the improved LULC reconstructions will be used in palaeoclimate simulations in the Palaeoclimate Modelling Intercomparison Project to quantify the magnitude of anthropogenic impacts on climate through time and ultimately to improve the realism of Holocene climate simulations.</p></article>", "keywords": ["[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "QE1-996.5", "550", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "Geology", "Arqueologia", "15. Life on land", "ddc:910", "01 natural sciences", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "S\u00f2l", " \u00das del", "13. Climate action", "SDG 13 - Climate Action", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment", "SDG 15 - Life on Land", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://eprints.gla.ac.uk/210927/1/210927.pdf"}, {"href": "https://eprints.bournemouth.ac.uk/33591/1/gmd-13-805-2020.pdf"}, {"href": "https://gmd.copernicus.org/articles/13/805/2020/gmd-13-805-2020.pdf"}, {"href": "https://doi.org/20.500.11850/466068"}, {"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": "20.500.11850/466068", "name": "item", "description": "20.500.11850/466068", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.11850/466068"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-03-02T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=%5BSDU.ENVI%5D+Sciences+of+the+Universe+%5Bphysics%5D%2FContinental+interfaces&offset=50&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=%5BSDU.ENVI%5D+Sciences+of+the+Universe+%5Bphysics%5D%2FContinental+interfaces&offset=50&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "prev", "title": "items (prev)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=%5BSDU.ENVI%5D+Sciences+of+the+Universe+%5Bphysics%5D%2FContinental+interfaces&offset=0", "hreflang": "en-US"}, {"rel": "next", "type": "application/geo+json", "title": "items (next)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=%5BSDU.ENVI%5D+Sciences+of+the+Universe+%5Bphysics%5D%2FContinental+interfaces&offset=100", "hreflang": "en-US"}], "numberMatched": 132, "numberReturned": 50, "distributedFeatures": [], "timeStamp": "2026-06-27T11:22:16.910717Z"}