{"type": "FeatureCollection", "features": [{"id": "20.500.11850/391266", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:22:34Z", "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": "10.31223/x5qd36", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:18:59Z", "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/frwa.2021.801389", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:19:05Z", "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": "2026-08-24T16:19:17Z", "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/s21217406", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:19:19Z", "type": "Journal Article", "created": "2021-11-09", "title": "A Calibration/Disaggregation Coupling Scheme for Retrieving Soil Moisture at High Spatio-Temporal Resolution: Synergy between SMAP Passive Microwave, MODIS/Landsat Optical/Thermal and Sentinel-1 Radar Data", "description": "<p>Soil moisture (SM) data are required at high spatio-temporal resolution\uffe2\uff80\uff94typically the crop field scale every 3\uffe2\uff80\uff936 days\uffe2\uff80\uff94for agricultural and hydrological purposes. To provide such high-resolution SM data, many remote sensing methods have been developed from passive microwave, active microwave and thermal data. Despite the pros and cons of each technique in terms of spatio-temporal resolution and their sensitivity to perturbing factors such as vegetation cover, soil roughness and meteorological conditions, there is currently no synergistic approach that takes advantage of all relevant (passive, active microwave and thermal) remote sensing data. In this context, the objective of the paper is to develop a new algorithm that combines SMAP L-band passive microwave, MODIS/Landsat optical/thermal and Sentinel-1 C-band radar data to provide SM data at the field scale at the observation frequency of Sentinel-1. In practice, it is a three-step procedure in which: (1) the 36 km resolution SMAP SM data are disaggregated at 100 m resolution using MODIS/Landsat optical/thermal data on clear sky days, (2) the 100 m resolution disaggregated SM data set is used to calibrate a radar-based SM retrieval model and (3) the so-calibrated radar model is run at field scale on each Sentinel-1 overpass. The calibration approach also uses a vegetation descriptor as ancillary data that is derived either from optical (Sentinel-2) or radar (Sentinel-1) data. Two radar models (an empirical linear regression model and a non-linear semi-empirical formulation derived from the water cloud model) are tested using three vegetation descriptors (NDVI, polarization ratio (PR) and radar coherence (CO)) separately. Both models are applied over three experimental irrigated and rainfed wheat crop sites in central Morocco. The field-scale temporal correlation between predicted and in situ SM is in the range of 0.66\uffe2\uff80\uff930.81 depending on the retrieval configuration. Based on this data set, the linear radar model using PR as a vegetation descriptor offers a relatively good compromise between precision and robustness all throughout the agricultural season with only three parameters to set. The proposed synergistical approach combining multi-resolution/multi-sensor SM-relevant data offers the advantage of not requiring in situ measurements for calibration.</p>", "keywords": ["550", "Chemical technology", "0211 other engineering and technologies", "synergy", "SMAP", "TP1-1185", "04 agricultural and veterinary sciences", "02 engineering and technology", "15. Life on land", "630", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "Article", "DISPATCH", "disaggregation", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "Sentinel-1", "0401 agriculture", " forestry", " and fisheries", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "soil moisture", "environment", "Landsat"]}, "links": [{"href": "http://www.mdpi.com/1424-8220/21/21/7406/pdf"}, {"href": "https://www.mdpi.com/1424-8220/21/21/7406/pdf"}, {"href": "https://doi.org/10.3390/s21217406"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sensors", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/s21217406", "name": "item", "description": "10.3390/s21217406", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/s21217406"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-08T00:00:00Z"}}, {"id": "10.3390/w12061722", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:19:21Z", "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": "10.5194/egusphere-2022-1414", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:19:45Z", "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/gmd-11-3903-2018", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:19:49Z", "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": "<?xml version='1.0' encoding='UTF-8'?><article><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\u2013data 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\u2009% 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></article>", "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": "2026-08-24T16:19:49Z", "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/acp-2021-4", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:19:41Z", "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": "2026-08-24T16:19:41Z", "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": "2026-08-24T16:19:43Z", "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": "2026-08-24T16:19:43Z", "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/bg-3-571-2006", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:19:44Z", "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/essd-12-61-2020", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-08-24T16:19:48Z", "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": "<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\uffc2\uffa0years, 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\uffc2\uffa0December\uffc2\uffa02019), 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)\uffc2\uffa0a web-based interface, (2)\uffc2\uffa0an R package (ISRaD), or (3)\uffc2\uffa0direct 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>", "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-13-805-2020", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:19:50Z", "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/gmd-7-2875-2014", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:19:50Z", "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/hess-2019-105", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:19:50Z", "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": "2026-08-24T16:19:51Z", "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": "10256/20664", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:21:46Z", "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": "2809132863", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:23:01Z", "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": "10.60692/5feqz-9r143", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:21:30Z", "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": "10.60692/g4rcv-eqz54", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:21:31Z", "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": "10261/215719", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:21:47Z", "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": "10261/269611", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:21:48Z", "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": "10067/1865430151162165141", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:21:43Z", "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": "11585/912997", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:22:12Z", "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": "10278/5031900", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:21:55Z", "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": "2026-08-24T16:21:55Z", "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": "2026-08-24T16:21:55Z", "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": "2026-08-24T16:22:01Z", "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": {"updated": "2026-08-24T16:22:06Z", "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": "20.500.11850/466068", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:22:35Z", "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"}}, {"id": "20.500.11850/562259", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:22:35Z", "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/20.500.11850/562259"}, {"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": "20.500.11850/562259", "name": "item", "description": "20.500.11850/562259", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.11850/562259"}, {"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": "20.500.11850/582974", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:22:36Z", "type": "Journal Article", "created": "2022-11-01", "title": "Contrasting Export of Particulate Organic Carbon From Greenlandic Glacial and Nonglacial Streams", "description": "Abstract<p>On\uffe2\uff80\uff90going shrinkage of Greenland's icecap, permafrost thaw, and changes in precipitation are exposing its landscapes to erosion and remobilization of ancient organic carbon (OC) held in soils and sedimentary rocks. The fate of this OC and potential feedbacks to climate are still unclear. Here, we show that the glacial Zackenberg river (Northeastern Greenland) exports aged particulate OC (POC, uncalibrated radiocarbon ages of \uffe2\uff88\uffbc4,000\uffc2\uffa0years). Many of the smaller periglacial streams affected by abrupt permafrost thaw transport substantially older POC (up to 32,000\uffc2\uffa0years), especially with enhanced discharge following intense precipitation. Mineralogical analysis, and density and size fractionation of soils and both glacial and nonglacial river sediments reveal that OC is largely associated with phyllosilicate minerals, suggesting stabilization against microbial processing. Enhanced export of ancient, mineral\uffe2\uff80\uff90associated OC as a consequence of summer rainfall may accelerate translocation of OC from terrestrial to marine environments, but could have limited consequences for climate.</p", "keywords": ["particulate organic carbon", "0301 basic medicine", "570", "glacier", "550", "[SDE.MCG]Environmental Sciences/Global Changes", "stream", "Greenland", "15. Life on land", "01 natural sciences", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "[SDE.MCG] Environmental Sciences/Global Changes", "03 medical and health sciences", "13. Climate action", "radiocarbon", "SDG 14 - Life Below Water", "14. Life underwater", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment", "permafrost", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/20.500.11850/582974"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geophysical%20Research%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.11850/582974", "name": "item", "description": "20.500.11850/582974", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.11850/582974"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-11-03T00:00:00Z"}}, {"id": "1871.1/c3b579db-d9ee-49cc-91ce-d3afcf0ae422", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:22:23Z", "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": "2026-08-24T16:22:38Z", "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": "2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/282703", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:22:41Z", "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": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Current land surface models (LSMs) typically represent soils in a\u00a0very simplistic way, assuming soil organic carbon (SOC) as a\u00a0bulk, and thus impeding a\u00a0correct 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\u00a0new 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\u00a0vertically discretized soil to 2\u202fm. 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\u00a0coniferous forest, a\u00a0deciduous forest, a\u00a0grassland, and a\u00a0cropland. 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\u00a0plant- 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></article>", "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/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/282703"}, {"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": "2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/282703", "name": "item", "description": "2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/282703", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/282703"}, {"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": "2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/287489", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:22:41Z", "type": "Journal Article", "created": "2019-03-18", "title": "Aquatic carbon fluxes dampen the overall variation of net ecosystem productivity in the Amazon basin: An analysis of the interannual variability in the boundless carbon cycle", "description": "Abstract<p>The river\uffe2\uff80\uff93floodplain network plays an important role in the carbon (C) cycle of the Amazon basin, as it transports and processes a significant fraction of the C fixed by terrestrial vegetation, most of which evades as CO2 from rivers and floodplains back to the atmosphere. There is empirical evidence that exceptionally dry or wet years have an impact on the net C balance in the Amazon. While seasonal and interannual variations in hydrology have a direct impact on the amounts of C transferred through the river\uffe2\uff80\uff93floodplain system, it is not known how far the variation of these fluxes affects the overall Amazon C balance. Here, we introduce a new wetland forcing file for the ORCHILEAK model, which improves the representation of floodplain dynamics and allows us to closely reproduce data\uffe2\uff80\uff90driven estimates of net C exports through the river\uffe2\uff80\uff93floodplain network. Based on this new wetland forcing and two climate forcing datasets, we show that across the Amazon, the percentage of net primary productivity lost to the river\uffe2\uff80\uff93floodplain system is highly variable at the interannual timescale, and wet years fuel aquatic CO2 evasion. However, at the same time overall net ecosystem productivity (NEP) and C sequestration are highest during wet years, partly due to reduced decomposition rates in water\uffe2\uff80\uff90logged floodplain soils. It is years with the lowest discharge and floodplain inundation, often associated with El Nino events, that have the lowest NEP and the highest total (terrestrial plus aquatic) CO2 emissions back to atmosphere. Furthermore, we find that aquatic C fluxes display greater variation than terrestrial C fluxes, and that this variation significantly dampens the interannual variability in NEP of the Amazon basin. These results call for a more integrative view of the C fluxes through the vegetation\uffe2\uff80\uff90soil\uffe2\uff80\uff90river\uffe2\uff80\uff90floodplain continuum, which directly places aquatic C fluxes into the overall C budget of the Amazon basin.</p", "keywords": ["boundless carbon cycle", "550", "Climate", "01 natural sciences", "Carbon Cycle", "Environnement et pollution", "Soil", "Rivers", "Amazon", "Ecosystem", "0105 earth and related environmental sciences", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "Ecologie", "interannual variation", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "Atmosphere", "carbon", "Models", " Theoretical", "15. Life on land", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "Carbon", "6. Clean water", "floodplains", "NEP", "13. Climate action", "Wetlands", "contr\u00f4le de la pollution", "Technologie de l'environnement", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "ENSO", "environment", "CO 2 evasion"]}, "links": [{"href": "https://doi.org/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/287489"}, {"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": "2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/287489", "name": "item", "description": "2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/287489", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/287489"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-04-15T00:00:00Z"}}, {"id": "21.11116/0000-0000-F094-9", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:22:43Z", "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": "<?xml version='1.0' encoding='UTF-8'?><article><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\u2013data 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\u2009% 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></article>", "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/21.11116/0000-0000-F094-9"}, {"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": "21.11116/0000-0000-F094-9", "name": "item", "description": "21.11116/0000-0000-F094-9", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/21.11116/0000-0000-F094-9"}, {"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": "21.11116/0000-0000-F096-7", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:22:43Z", "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": "<?xml version='1.0' encoding='UTF-8'?><article><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\u2013data 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\u2009% 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></article>", "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/21.11116/0000-0000-F096-7"}, {"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": "21.11116/0000-0000-F096-7", "name": "item", "description": "21.11116/0000-0000-F096-7", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/21.11116/0000-0000-F096-7"}, {"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": "21.11116/0000-000A-E334-B", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:22:44Z", "type": "Journal Article", "created": "2022-08-17", "title": "Lowering water table reduces carbon sink strength and carbon stocks in northern peatlands", "description": "Abstract<p>Peatlands at high latitudes have accumulated &gt;400\uffe2\uff80\uff89Pg carbon (C) because saturated soil and cold temperatures suppress C decomposition. This substantial amount of C in Arctic and Boreal peatlands is potentially subject to increased decomposition if the water table (WT) decreases due to climate change, including permafrost thaw\uffe2\uff80\uff90related drying. Here, we optimize a version of the Organizing Carbon and Hydrology In Dynamic Ecosystems model (ORCHIDEE\uffe2\uff80\uff90PCH4) using site\uffe2\uff80\uff90specific observations to investigate changes in CO2 and CH4 fluxes as well as C stock responses to an experimentally manipulated decrease of WT at six northern peatlands. The unmanipulated control peatlands, with the WT &lt;20\uffe2\uff80\uff89cm on average (seasonal max up to 45\uffe2\uff80\uff89cm) below the surface, currently act as C sinks in most years (58\uffe2\uff80\uff89\uffc2\uffb1\uffe2\uff80\uff8934\uffe2\uff80\uff89g C\uffe2\uff80\uff89m\uffe2\uff88\uff922\uffc2\uffa0year\uffe2\uff88\uff921; including 6\uffe2\uff80\uff89\uffc2\uffb1\uffe2\uff80\uff897\uffe2\uff80\uff89g C\uffe2\uff80\uff93CH4 m\uffe2\uff88\uff922\uffc2\uffa0year\uffe2\uff88\uff921 emission). We found, however, that lowering the WT by 10\uffe2\uff80\uff89cm reduced the CO2 sink by 13\uffe2\uff80\uff89\uffc2\uffb1\uffe2\uff80\uff8915\uffe2\uff80\uff89g\uffe2\uff80\uff89C\uffe2\uff80\uff89m\uffe2\uff88\uff922\uffc2\uffa0year\uffe2\uff88\uff921 and decreased CH4 emission by 4\uffe2\uff80\uff89\uffc2\uffb1\uffe2\uff80\uff894\uffe2\uff80\uff89g CH4 m\uffe2\uff88\uff922\uffc2\uffa0year\uffe2\uff88\uff921, thus accumulating less C over 100\uffe2\uff80\uff89years (0.2\uffe2\uff80\uff89\uffc2\uffb1\uffe2\uff80\uff890.2\uffe2\uff80\uff89kg\uffe2\uff80\uff89C\uffe2\uff80\uff89m\uffe2\uff88\uff922). Yet, the reduced emission of CH4, which has a larger greenhouse warming potential, resulted in a net decrease in greenhouse gas balance by 310\uffe2\uff80\uff89\uffc2\uffb1\uffe2\uff80\uff89360\uffe2\uff80\uff89g\uffe2\uff80\uff89CO2\uffe2\uff80\uff90eq\uffc2\uffa0m\uffe2\uff88\uff922\uffc2\uffa0year\uffe2\uff88\uff921. Peatlands with the initial WT close to the soil surface were more vulnerable to C loss: Non\uffe2\uff80\uff90permafrost peatlands lost &gt;2\uffe2\uff80\uff89kg\uffe2\uff80\uff89C\uffe2\uff80\uff89m\uffe2\uff88\uff922 over 100\uffe2\uff80\uff89years when WT is lowered by 50\uffe2\uff80\uff89cm, while permafrost peatlands temporally switched from C sinks to sources. These results highlight that reductions in C storage capacity in response to drying of northern peatlands are offset in part by reduced CH4 emissions, thus slightly reducing the positive carbon climate feedbacks of peatlands under a warmer and drier future climate scenario.</p", "keywords": ["570", "Carbon Sequestration", "permafrost thaw", "land surface model", "551", "01 natural sciences", "manipulation experiment", "Greenhouse Gases", "Soil", "Groundwater", "Research Articles", "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", "carbon stock", "high latitude", "Carbon Dioxide", "15. Life on land", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "Carbon", "carbon flux", "13. Climate action", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment", "Methane", "drainage"]}, "links": [{"href": "https://eprints.whiterose.ac.uk/190653/1/Global%20Change%20Biology%20-%202022%20-%20Kwon%20-%20Lowering%20water%20table%20reduces%20carbon%20sink%20strength%20and%20carbon%20stocks%20in%20northern.pdf"}, {"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.16394"}, {"href": "https://doi.org/21.11116/0000-000A-E334-B"}, {"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": "21.11116/0000-000A-E334-B", "name": "item", "description": "21.11116/0000-000A-E334-B", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/21.11116/0000-000A-E334-B"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-08-30T00:00:00Z"}}, {"id": "21.11116/0000-000E-A4F4-5", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:22:44Z", "type": "Journal Article", "created": "2024-03-06", "title": "Reply to: Model uncertainty obscures major driver of soil carbon", "description": "International audience", "keywords": ["0301 basic medicine", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "1000 Multidisciplinary", "0303 health sciences", "Multidisciplinary", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "Uncertainty", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "03 medical and health sciences", "10122 Institute of Geography", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "910 Geography & travel", "environment"]}, "links": [{"href": "https://www.nature.com/articles/s41586-023-07000-9.pdf"}, {"href": "https://doi.org/21.11116/0000-000E-A4F4-5"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "21.11116/0000-000E-A4F4-5", "name": "item", "description": "21.11116/0000-000E-A4F4-5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/21.11116/0000-000E-A4F4-5"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-03-06T00:00:00Z"}}, {"id": "2117/393811", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:22:46Z", "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/2117/393811"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2117/393811", "name": "item", "description": "2117/393811", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2117/393811"}, {"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": "2164/13228", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:22:48Z", "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/2164/13228"}, {"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": "2164/13228", "name": "item", "description": "2164/13228", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2164/13228"}, {"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": "2802981068", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:23:01Z", "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": "2902175533", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:23:04Z", "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": "3122165360", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:23:22Z", "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/3122165360"}, {"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": "3122165360", "name": "item", "description": "3122165360", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3122165360"}, {"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": "2940609395", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:23:05Z", "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/2940609395"}, {"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": "2940609395", "name": "item", "description": "2940609395", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2940609395"}, {"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": "3036446340", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:23:17Z", "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/3036446340"}, {"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": "3036446340", "name": "item", "description": "3036446340", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3036446340"}, {"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"}}], "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%5DSciences+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%5DSciences+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%5DSciences+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%5DSciences+of+the+Universe+%5Bphysics%5D%2FContinental+interfaces&offset=100", "hreflang": "en-US"}], "numberMatched": 119, "numberReturned": 50, "distributedFeatures": [], "timeStamp": "2026-08-25T13:44:21.592009Z"}