{"type": "FeatureCollection", "features": [{"id": "10.1029/2020jd034163", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:17:27Z", "type": "Journal Article", "created": "2021-07-23", "title": "Upgrading Land\u2010Cover and Vegetation Seasonality in the ECMWF Coupled System: Verification With FLUXNET Sites, METEOSAT Satellite Land Surface Temperatures, and ERA5 Atmospheric Reanalysis", "description": "Abstract<p>In this study, we show that limitations in the representation of land cover and vegetation seasonality in the European Centre for Medium\uffe2\uff80\uff90Range Weather Forecasting (ECMWF) model are partially responsible for large biases (up to \uffe2\uff88\uffbc10\uffc2\uffb0C, either positive or negative depending on the region) on the simulated daily maximum land surface temperature (LST) with respect to satellite Earth Observations (EOs) products from the Land Surface Analysis Satellite Application Facility. The error patterns were coherent in offline land\uffe2\uff80\uff90surface and coupled land\uffe2\uff80\uff90atmosphere simulations, and in ECMWF's latest generation reanalysis (ERA5). Subsequently, we updated the ECMWF model's land cover characterization leveraging on state\uffe2\uff80\uff90of\uffe2\uff80\uff90the\uffe2\uff80\uff90art EOs\uffe2\uff80\uff94the European Space Agency Climate Change Initiative land cover data set and the Copernicus Global Land Services leaf area index. Additionally, we tested a clumping parameterization, introducing seasonality to the effective low vegetation coverage. The updates reduced the overall daily maximum LST bias and unbiased root\uffe2\uff80\uff90mean\uffe2\uff80\uff90squared errors. In contrast, the implemented updates had a neutral impact on daily minimum LST. Our results also highlighted the complex regional heterogeneities in the atmospheric sensitivity to land cover and vegetation changes, particularly with issues emerging over eastern Brazil and northeastern Asia. These issues called for a re\uffe2\uff80\uff90calibration of model parameters (e.g., minimum stomatal resistance, roughness length, rooting depth), along with a revision of several model assumptions (e.g., snow shading by high vegetation).</p>", "keywords": ["Atmospheric Science", "CLIMATE-CHANGE", "IMPACT", "PREDICTION", "SNOW SCHEME", "ASSIMILATION", "MODELS", "15. Life on land", "SOIL-MOISTURE", "01 natural sciences", "PREDICTABILITY", "VARIABILITY", "Geophysics", "Space and Planetary Science", "13. Climate action", "Earth and Environmental Sciences", "Earth and Planetary Sciences (miscellaneous)", "SENSITIVITY", "Research Article", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1029/2020jd034163"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geophysical%20Research%3A%20Atmospheres", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1029/2020jd034163", "name": "item", "description": "10.1029/2020jd034163", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1029/2020jd034163"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-02T00:00:00Z"}}, {"id": "10.1002/cli2.19", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:14:00Z", "type": "Journal Article", "created": "2021-10-21", "title": "An alert system for Seasonal Fire probability forecast for South American Protected Areas", "description": "Abstract<p>Timely spatially explicit warning of areas with high fire occurrence probability is an important component of strategic plans to prevent and monitor fires within South American (SA) Protected Areas (PAs). In this study, we present a five\uffe2\uff80\uff90level alert system, which combines both climatological and anthropogenic factors, the two main drivers of fires in SA. The alert levels are: High Alert, Alert, Attention, Observation and Low Probability. The trend in the number of active fires over the past three years and the accumulated number of active fires over the same period were used as indicators of intensification of human use of fire in that region, possibly associated with ongoing land use/land cover change (LULCC). An ensemble of temperature and precipitation gridded output from the GloSea5 Seasonal Forecast System was used to indicate an enhanced probability of hot and dry weather conditions that combined with LULCC favour fire occurrences. Alerts from this system were first issued in August 2020, for the period ranging from August to October (ASO) 2020. Overall, 50% of all fires observed during the ASO 2017\uffe2\uff80\uff932019 period and 40% of the ASO 2020 fires occurred in only 29 PAs were all categorized in the top two alert levels. In categories mapped as High Alert level, 34% of the PAs experienced an increase in fires compared with the 2017\uffe2\uff80\uff932019 reference period, and 81% of the High Alert false alarm registered fire occurrence above the median. Initial feedback from stakeholders indicates that these alerts were used to inform resource management in some PAs. We expect that these forecasts can provide continuous information aiming at changing societal perceptions of fire use and consequently subsidize strategic planning and mitigatory actions, focusing on timely responses to a disaster risk management strategy. Further research must focus on the model improvement and knowledge translation to stakeholders.</p>", "keywords": ["0106 biological sciences", "Atmospheric Science", "Land cover", "Flood Risk", "Precipitation", "01 natural sciences", "Environmental science", "Impact of Climate Change on Forest Wildfires", "Global Flood Risk Assessment and Management", "Meteorology", "Engineering", "Machine learning", "False alarm", "Civil engineering", "0105 earth and related environmental sciences", "Climatology", "Global and Planetary Change", "Tropical Cyclone Intensity and Climate Change", "Geography", "Warning system", "Geology", "FOS: Earth and related environmental sciences", "15. Life on land", "Computer science", "Earth and Planetary Sciences", "13. Climate action", "Environmental Science", "Physical Sciences", "Land use", "Telecommunications", "FOS: Civil engineering"]}, "links": [{"href": "https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/cli2.19"}, {"href": "https://doi.org/10.1002/cli2.19"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Climate%20Resilience%20and%20Sustainability", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/cli2.19", "name": "item", "description": "10.1002/cli2.19", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/cli2.19"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-10-20T00:00:00Z"}}, {"id": "10.1002/ecm.1507", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:14:01Z", "type": "Journal Article", "created": "2022-01-09", "title": "Lessons learned from a long\u2010term irrigation experiment in a dry Scots pine forest: Impacts on traits and functioning", "description": "Abstract<p>Climate change exposes ecosystems to strong and rapid changes in their environmental boundary conditions mainly due to the altered temperature and precipitation patterns. It is still poorly understood how fast interlinked ecosystem processes respond to altered environmental conditions, if these responses occur gradually or suddenly when thresholds are exceeded, and if the patterns of the responses will reach a stable state. We conducted an irrigation experiment in the Pfynwald, Switzerland from 2003\uffe2\uff80\uff932018. A naturally dry Scots pine (Pinus sylvestris L.) forest was irrigated with amounts that doubled natural precipitation, thus releasing the forest stand from water limitation. The aim of this study was to provide a quantitative understanding on how different traits and functions of individual trees and the whole ecosystem responded to increased water availability, and how the patterns and magnitudes of these responses developed over time. We found that the response magnitude, the temporal trajectory of responses, and the length of initial lag period prior to significant response largely varied across traits. We detected rapid and stronger responses from aboveground tree traits (e.g., tree\uffe2\uff80\uff90ring width, needle length, and crown transparency) compared to belowground tree traits (e.g., fine\uffe2\uff80\uff90root biomass). The altered aboveground traits during the initial years of irrigation increased the water demand and trees adjusted by increasing root biomass during the later years of irrigation, resulting in an increased survival rate of Scots pine trees in irrigated plots. The irrigation also stimulated ecosystem\uffe2\uff80\uff90level foliar decomposition rate, fungal fruit body biomass, and regeneration abundances of broadleaved tree species. However, irrigation did not promote the regeneration of Scots pine trees, which are reported to be vulnerable to extreme droughts. Our results provide extensive evidence that tree\uffe2\uff80\uff90 and ecosystem\uffe2\uff80\uff90level responses were pervasive across a number of traits on long\uffe2\uff80\uff90term temporal scales. However, after reaching a peak, the magnitude of these responses either decreased or reached a new stable state, providing important insights into how resource alterations could change the system functioning and its boundary conditions.</p", "keywords": ["Biomass (ecology)", "0106 biological sciences", "Atmospheric Science", "Ecosystem Resilience", "01 natural sciences", "Environmental science", "Biodiversity Conservation and Ecosystem Management", "Ecosystem properties", "Climate change", "functional traits", "Irrigation", "Biology", "Ecosystem", "Nature and Landscape Conservation", "Climate change; Ecosystem properties; Ecosystem resilience; functional traits; long-term irrigation; Scots pine", "Global and Planetary Change", "Tree Line Shifts", "Ecology", "Global Forest Drought Response and Climate Change", "Causes and Impacts of Climate Change Over Millennia", "Botany", "15. Life on land", "Pinus", "Agronomy", "6. Clean water", "Earth and Planetary Sciences", "long-term irrigation", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Scots pine", "Forest ecology", "Ecosystem resilience"]}, "links": [{"href": "https://esajournals.onlinelibrary.wiley.com/doi/pdf/10.1002/ecm.1507"}, {"href": "https://doi.org/10.1002/ecm.1507"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecological%20Monographs", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/ecm.1507", "name": "item", "description": "10.1002/ecm.1507", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/ecm.1507"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-02-11T00:00:00Z"}}, {"id": "10.1002/eqe.3145", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:14:02Z", "type": "Journal Article", "created": "2018-12-17", "title": "On the number of records for structural risk estimation in PBEE", "description": "Summary<p>Response\uffe2\uff80\uff90history nonlinear dynamic analysis is an analytical tool that often sees use in risk\uffe2\uff80\uff90oriented earthquake engineering applications. In the context of performance\uffe2\uff80\uff90based earthquake engineering, dynamic analysis serves to obtain a probabilistic description of seismic structural vulnerability. This typically involves subjecting a nonlinear numerical computer model to a set of ground\uffe2\uff80\uff90motions that represent a sample of possible realizations of base acceleration at the site of interest. The analysis results are then used to calibrate a stochastic model that describes structural response as a function of shaking intensity. The sample size of the ground\uffe2\uff80\uff90motion record set is nowadays usually governed by computation\uffe2\uff80\uff90demand constraints, yet it directly affects the uncertainty in estimation of seismic response. The present study uses analytical and numerical means to investigate the record sample size, n, required to achieve quantifiable levels of mean relative estimation error on seismic risk metrics. Regression\uffe2\uff80\uff90based cloud analysis in the context of Cornell's reliability method and incremental dynamic analysis using various intensity measures were employed to derive a relation of the form  , where \uffce\uff94 is a parameter that depends on both the dispersion of structural responses and the shape of the hazard curve at the site. For the cases examined, n can be kept in the 40 to 100 range and achieve 10% mean relative error. The study can contribute to guide engineers towards an informed a\uffe2\uff80\uff90priori assessment of the number of records needed to achieve a desired value for the coefficient of variation of the estimator of structural seismic risk.</p>", "keywords": ["seismic reliability", "fragility function", "nonlinear dynamic analysis", "Earth and Planetary Sciences (miscellaneous)", "0211 other engineering and technologies", "fragility function; ground motion record selection; nonlinear dynamic analysis; seismic reliability; Geotechnical Engineering and Engineering Geology; Earth and Planetary Sciences (miscellaneous)", "02 engineering and technology", "Geotechnical Engineering and Engineering Geology", "ground motion record selection"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1002/eqe.3145"}, {"href": "https://doi.org/10.1002/eqe.3145"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Earthquake%20Engineering%20%26amp%3B%20Structural%20Dynamics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/eqe.3145", "name": "item", "description": "10.1002/eqe.3145", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/eqe.3145"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-12-16T00:00:00Z"}}, {"id": "10.1016/j.earscirev.2018.05.017", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:15:49Z", "type": "Journal Article", "created": "2018-06-02", "title": "Advances in the determination of humification degree in peat since  : Applications in geochemical and paleoenvironmental studies", "description": "Peer reviewed", "keywords": ["2. Zero hunger", "Decomposition", "Organic matter decay", "13. Climate action", "Bog", "Bogs; C cycle; Decomposition; H/C; Organic matter decay; Earth and Planetary Sciences (all)", "H/C", "C cycle; Decomposition; Organic matter decay; Bogs", " H/C", "C cycle", "15. Life on land", "Earth and Planetary Sciences (all)", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://cris.unibo.it/bitstream/11585/690169/5/POSTPRINT%20690169.pdf"}, {"href": "https://doi.org/10.1016/j.earscirev.2018.05.017"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Earth-Science%20Reviews", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.earscirev.2018.05.017", "name": "item", "description": "10.1016/j.earscirev.2018.05.017", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.earscirev.2018.05.017"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-10-01T00:00:00Z"}}, {"id": "10.1029/2018JE005899", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:17:26Z", "type": "Journal Article", "created": "2020-03-09", "title": "Initiation and Flow Conditions of Contemporary Flows in Martian Gullies", "description": "<p>         &amp;lt;p&amp;gt;Understanding the initial and flow conditions of contemporary flows in Martian gullies, generally believed to be triggered and fluidized by CO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; sublimation, is crucial for deciphering climate conditions needed to trigger and sustain them. We employ the RAMMS (RApid Mass Movement Simulation) debris flow and avalanche model to back-calculate initial and flow conditions of recent flows in three gullies in Hale crater. We infer minimum release depths of 1.0&amp;amp;#8211;1.5 m and initial release volumes of 100&amp;amp;#8211;200 m&amp;lt;sup&amp;gt;3&amp;lt;/sup&amp;gt;. Entrainment leads to final flow volumes that are 2.5&amp;amp;#8211;5.5 times larger than initially released, and entrainment is found necessary to match the observed flow deposits. Simulated mean cross-channel flow velocities decrease from 3&amp;amp;#8211;4 m s&amp;lt;sup&amp;gt;-1&amp;lt;/sup&amp;gt; to ~1 m s&amp;lt;sup&amp;gt;-1&amp;lt;/sup&amp;gt; from release area to flow terminus, while flow depths generally decrease from 0.5&amp;amp;#8211;1 m to 0.1&amp;amp;#8211;0.2 m. The mean cross-channel erosion depth and deposition thicknesses are _0.1&amp;amp;#8211;0.3 m. Back-calculated dry-Coulomb friction ranges from 0.1 to 0.25 and viscous turbulent friction between 100&amp;amp;#8211;200 m s&amp;lt;sup&amp;gt;-2&amp;lt;/sup&amp;gt;, which are values similar to those of granular debris flows on Earth. These results suggest that recent flows in gullies are fluidized to a similar degree as are granular debris flows on Earth. Using a novel model for mass-flow fluidization by CO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; sublimation we are able to show that under Martian atmospheric conditions very small volumetric fractions of CO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; of ~1% within mass flows may indeed yield sufficiently large gas fluxes to cause fluidization and enhance flow mobility.&amp;lt;/p&amp;gt;         </p>", "keywords": ["Atmospheric Science", "550", "[SDU.STU.GM] Sciences of the Universe [physics]/Earth Sciences/Geomorphology", "0211 other engineering and technologies", "Soil Science", "Mars", "Hale crater", "02 engineering and technology", "Aquatic Science", "carbon dioxide; gullies; Hale crater; Mars; modeling; RAMMS", "551", "Oceanography", "01 natural sciences", "[SDU.STU.PL]Sciences of the Universe [physics]/Earth Sciences/Planetology", "Geochemistry and Petrology", "Earth and Planetary Sciences (miscellaneous)", "SDG 13 - Climate Action", "Research Articles", "Water Science and Technology", "Earth-Surface Processes", "0105 earth and related environmental sciences", "Ecology", "Palaeontology", "carbon dioxide", "Forestry", "modeling", "RAMMS", "Geophysics", "Space and Planetary Science", "13. Climate action", "[SDU.STU.PL] Sciences of the Universe [physics]/Earth Sciences/Planetology", "gullies"]}, "links": [{"href": "http://dro.dur.ac.uk/28802/1/28802.pdf"}, {"href": "http://dro.dur.ac.uk/28802/2/28802.pdf"}, {"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2018JE005899"}, {"href": "https://doi.org/10.1029/2018JE005899"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geophysical%20Research%3A%20Planets", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1029/2018JE005899", "name": "item", "description": "10.1029/2018JE005899", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1029/2018JE005899"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-08-01T00:00:00Z"}}, {"id": "10.1038/s41561-023-01275-3", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:17:36Z", "type": "Journal Article", "created": "2023-10-02", "title": "Soil carbon losses due to priming moderated by adaptation and legacy effects", "keywords": ["10122 Institute of Geography", "1900 General Earth and Planetary Sciences", "General Earth and Planetary Sciences", "910 Geography & travel"]}, "links": [{"href": "https://www.nature.com/articles/s41561-023-01275-3.pdf"}, {"href": "https://doi.org/10.1038/s41561-023-01275-3"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Geoscience", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41561-023-01275-3", "name": "item", "description": "10.1038/s41561-023-01275-3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41561-023-01275-3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-10-01T00:00:00Z"}}, {"id": "10.1038/s43247-023-00830-5", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:17:39Z", "type": "Journal Article", "created": "2023-05-08", "title": "Soil organic carbon models need independent time-series validation for reliable prediction", "description": "Abstract<p>Numerical models are crucial to understand and/or predict past and future soil organic carbon dynamics. For those models aiming at prediction, validation is a critical step to gain confidence in projections. With a comprehensive review of ~250 models, we assess how models are validated depending on their objectives and features, discuss how validation of predictive models can be improved. We find a critical lack of independent validation using observed time series. Conducting such validations should be a priority to improve the model reliability. Approximately 60% of the models we analysed are not designed for predictions, but rather for conceptual understanding of soil processes. These models provide important insights by identifying key processes and alternative formalisms that can be relevant for predictive models. We argue that combining independent validation based on observed time series and improved information flow between predictive and conceptual models will increase reliability in predictions.</p", "keywords": ["[SDE] Environmental Sciences", "QE1-996.5", "1900 General Earth and Planetary Sciences", "Geology", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "2300 General Environmental Science", "Environmental sciences", "10122 Institute of Geography", "[SDE]Environmental Sciences", "0401 agriculture", " forestry", " and fisheries", "GE1-350", "910 Geography & travel", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.nature.com/articles/s43247-023-00830-5.pdf"}, {"href": "https://doi.org/10.1038/s43247-023-00830-5"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Communications%20Earth%20%26amp%3B%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s43247-023-00830-5", "name": "item", "description": "10.1038/s43247-023-00830-5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s43247-023-00830-5"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-05-08T00:00:00Z"}}, {"id": "10.1038/srep08280", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:17:39Z", "type": "Journal Article", "created": "2015-02-06", "title": "Convergence Of Soil Nitrogen Isotopes Across Global Climate Gradients", "description": "Abstract<p>Quantifying global patterns of terrestrial nitrogen (N) cycling is central to predicting future patterns of primary productivity, carbon sequestration, nutrient fluxes to aquatic systems and climate forcing. With limited direct measures of soil N cycling at the global scale, syntheses of the 15N:14N ratio of soil organic matter across climate gradients provide key insights into understanding global patterns of N cycling. In synthesizing data from over 6000 soil samples, we show strong global relationships among soil N isotopes, mean annual temperature (MAT), mean annual precipitation (MAP) and the concentrations of organic carbon and clay in soil. In both hot ecosystems and dry ecosystems, soil organic matter was more enriched in 15N than in corresponding cold ecosystems or wet ecosystems. Below a MAT of 9.8\uffc2\uffb0C, soil \uffce\uffb415N was invariant with MAT. At the global scale, soil organic C concentrations also declined with increasing MAT and decreasing MAP. After standardizing for variation among mineral soils in soil C and clay concentrations, soil \uffce\uffb415N showed no consistent trends across global climate and latitudinal gradients. Our analyses could place new constraints on interpretations of patterns of ecosystem N cycling and global budgets of gaseous N loss.</p>", "keywords": ["N-15 Natural-Abundance", "550", "Ecosystem ecology", "TROPICAL FORESTS", "Organic chemistry", "Suelo", "Nitrogen cycle", "01 natural sciences", "Nutrient cycle", "cycle de l'azote", "CARBON", "Agricultural and Biological Sciences", "Soil", "Terrestrial ecosystem", "Isotopes", "https://purl.org/becyt/ford/1.6", "Soil water", "SDG 13 - Climate Action", "N-15 NATURAL-ABUNDANCE", "Climate change", "croisement de donn\u00e9es", "Milieux et Changements globaux", "SDG 15 \u2013 Leben an Land", "Global change", "SDG 15 - Life on Land", "2. Zero hunger", "106022 Mikrobiologie", "Climatic Factors", "Tropical Forests", "Ecology", "Geography", "Nitr\u00f3geno", "Nutrient Cycling", "FRACTIONATION", "Litter Decomposition", "ECOSYSTEM ECOLOGY", "Life Sciences", "ecosystem ecology", "Cycling", "Forestry", "Is\u00f3topos", "Carbon cycle", "04 agricultural and veterinary sciences", "Nitrogen Cycle", "Soil carbon", "6. Clean water", "Organic-Matter", "Earth and Planetary Sciences", "ORGANIC-MATTER", "Chemistry", "PRECIPITATION", "SDG 13 \u2013 Ma\u00dfnahmen zum Klimaschutz", "Physical Sciences", "106022 Microbiology", "carbone du sol", "Stable Isotope Analysis of Groundwater and Precipitation", "Ecosystem Functioning", "570", "STABLE ISOTOPE", "Biogeochemical Cycling of Nutrients in Aquatic Ecosystems", "Stable isotope analysis", "Nitrogen", "[SDE.MCG]Environmental Sciences/Global Changes", "Soil Science", "stable isotope analysis;ecosystem ecology", "Article", "Environmental science", "LITTER DECOMPOSITION", "sol min\u00e9ral", "INORGANIC NITROGEN", "Geochemistry and Petrology", "stable isotope analysis", "Carbono", "Environmental Chemistry", "Factores Clim\u00e1ticos", "https://purl.org/becyt/ford/1", "Biology", "Ecosystem", "0105 earth and related environmental sciences", "Soil science", "Soil organic matter", "Soil Fertility", "climat", "AVAILABILITY", "Nitrogen Dynamics", "15. Life on land", "Carbon", "Inorganic", "NITROGEN", "MODEL", "[SDE.MCG] Environmental Sciences/Global Changes", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "PATTERNS", "0401 agriculture", " forestry", " and fisheries", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems"]}, "links": [{"href": "https://scholars.unh.edu/context/faculty_pubs/article/1042/viewcontent/srep08280.pdf"}, {"href": "https://edoc.unibas.ch/37215/1/srep08280.pdf"}, {"href": "https://doi.org/10.1038/srep08280"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Scientific%20Reports", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/srep08280", "name": "item", "description": "10.1038/srep08280", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/srep08280"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-02-06T00:00:00Z"}}, {"id": "10.1371/journal.pone.0092985", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:19:19Z", "type": "Journal Article", "created": "2014-03-25", "title": "Comparison Of Seasonal Soil Microbial Process In Snow-Covered Temperate Ecosystems Of Northern China", "description": "Open AccessMore than half of the earth's terrestrial surface currently experiences seasonal snow cover and soil frost. Winter compositional and functional investigations in soil microbial community are frequently conducted in alpine tundra and boreal forest ecosystems. However, little information on winter microbial biogeochemistry is known from seasonally snow-covered temperate ecosystems. As decomposer microbes may differ in their ability/strategy to efficiently use soil organic carbon (SOC) within different phases of the year, understanding seasonal microbial process will increase our knowledge of biogeochemical cycling from the aspect of decomposition rates and corresponding nutrient dynamics. In this study, we measured soil microbial biomass, community composition and potential SOC mineralization rates in winter and summer, from six temperate ecosystems in northern China. Our results showed a clear pattern of increased microbial biomass C to nitrogen (N) ratio in most winter soils. Concurrently, a shift in soil microbial community composition occurred with higher fungal to bacterial biomass ratio and gram negative (G-) to gram positive (G+) bacterial biomass ratio in winter than in summer. Furthermore, potential SOC mineralization rate was higher in winter than in summer. Our study demonstrated a distinct transition of microbial community structure and function from winter to summer in temperate snow-covered ecosystems. Microbial N immobilization in winter may not be the major contributor for plant growth in the following spring.", "keywords": ["Biomass (ecology)", "Atmospheric Science", "Microbial population biology", "Decomposer", "Nutrient cycle", "Physical Phenomena", "Agricultural and Biological Sciences", "Soil", "Terrestrial ecosystem", "Snow", "Soil water", "Biomass", "Phospholipids", "Soil Microbiology", "Minerals", "Glucan 1", "4-beta-Glucosidase", "Ecology", "Geography", "Mineralization (soil science)", "Q", "R", "Life Sciences", "04 agricultural and veterinary sciences", "Biogeochemistry", "16. Peace & justice", "Earth and Planetary Sciences", "Physical Sciences", "Medicine", "Seasons", "Ecosystem Functioning", "Research Article", "China", "Nitrogen", "Science", "Soil Science", "Biogeochemical cycle", "Environmental science", "Meteorology", "Genetics", "Arctic Permafrost Dynamics and Climate Change", "Tundra", "Biology", "Ecosystem", "Soil science", "Bacteria", "Fungi", "Microbial Diversity in Antarctic Ecosystems", "15. Life on land", "Carbon", "Temperate climate", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "0401 agriculture", " forestry", " and fisheries", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems"], "contacts": [{"organization": "Xinyue Zhang, Wei Wang, Weile Chen, Naili Zhang, Hui Zeng,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1371/journal.pone.0092985"}, {"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": "10.1371/journal.pone.0092985", "name": "item", "description": "10.1371/journal.pone.0092985", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1371/journal.pone.0092985"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-03-25T00:00:00Z"}}, {"id": "10.1371/journal.pone.0102062", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:19:19Z", "type": "Journal Article", "created": "2014-07-15", "title": "Effects Of Biochar On Soil Microbial Biomass After Four Years Of Consecutive Application In The North China Plain", "description": "Open AccessL'effet \u00e0 long terme de l'application de biochar sur la biomasse microbienne du sol n'est pas bien compris. Nous avons mesur\u00e9 le carbone (MBC) et l'azote (MBN) de la biomasse microbienne du sol dans une exp\u00e9rience sur le terrain au cours d'une saison de croissance du bl\u00e9 d'hiver apr\u00e8s quatre ann\u00e9es cons\u00e9cutives sans (CK), 4,5 (B4,5) et 9,0 t de biochar ha\u22121 an\u22121 (B9,0) appliqu\u00e9. \u00c0 titre de comparaison, un traitement avec incorporation de r\u00e9sidus de paille de bl\u00e9 (SR) a \u00e9galement \u00e9t\u00e9 inclus. Les r\u00e9sultats ont montr\u00e9 que l'application de biochar augmentait significativement le MBC du sol par rapport au traitement CK, et que la taille de l'effet augmentait avec le taux d'application de biochar. Le traitement B9.0 a montr\u00e9 le m\u00eame effet sur le CSM que le traitement SR. Les effets des traitements sur la MBN du sol \u00e9taient moins forts que pour le MBC. Le ratio de biomasse microbienne C N a \u00e9t\u00e9 significativement augment\u00e9 par le biochar. Le biochar pourrait diminuer la fraction de la biomasse N min\u00e9ralis\u00e9e (KN), ce qui sous-estimerait le MBN du sol pour les traitements au biochar, et surestimerait les rapports C/N de la biomasse microbienne. La fluctuation saisonni\u00e8re dans le CSM \u00e9tait moins importante pour les sols modifi\u00e9s par le biochar que pour les traitements CK et SR, ce qui sugg\u00e8re que le biochar a induit un environnement moins extr\u00eame pour les micro-organismes tout au long de la saison. Il y avait une corr\u00e9lation positive significative entre le CSM et la teneur en eau du sol (CFS), mais il n'y avait pas de corr\u00e9lation significative entre le CSM et la temp\u00e9rature du sol. Les modifications du biochar peuvent donc r\u00e9duire la variabilit\u00e9 temporelle des conditions environnementales pour la croissance microbienne dans ce syst\u00e8me, r\u00e9duisant ainsi les fluctuations temporelles de la dynamique du C et de l'N.", "keywords": ["Biomass (ecology)", "Carbon sequestration", "China", "Nitrogen", "Science", "Geochemistry and Utilization of Coal and Coal Byproducts", "Soil Science", "Organic chemistry", "Environmental science", "Agricultural and Biological Sciences", "Geochemistry and Petrology", "Soil water", "Development and Impacts of Bioenergy Crops", "Biomass", "Biology", "Ecosystem", "Soil Microbiology", "Biochar Application", "Soil science", "2. Zero hunger", "Analysis of Variance", "Q", "R", "Life Sciences", "Straw", "04 agricultural and veterinary sciences", "15. Life on land", "Soil carbon", "Carbon", "Agronomy", "6. Clean water", "Earth and Planetary Sciences", "Biochar", "Chemistry", "13. Climate action", "Charcoal", "Physical Sciences", "Environmental chemistry", "Medicine", "Growing season", "0401 agriculture", " forestry", " and fisheries", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "Agronomy and Crop Science", "Animal science", "Pyrolysis", "Research Article"]}, "links": [{"href": "https://doi.org/10.1371/journal.pone.0102062"}, {"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": "10.1371/journal.pone.0102062", "name": "item", "description": "10.1371/journal.pone.0102062", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1371/journal.pone.0102062"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-07-15T00:00:00Z"}}, {"id": "10.1371/journal.pone.0153415", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:19:20Z", "type": "Journal Article", "created": "2016-04-12", "title": "Seasonality, Rather Than Nutrient Addition Or Vegetation Types, Influenced Short-Term Temperature Sensitivity Of Soil Organic Carbon Decomposition", "description": "Open AccessLa r\u00e9ponse de la respiration microbienne de la d\u00e9composition du carbone organique du sol (COS) aux changements environnementaux joue un r\u00f4le cl\u00e9 dans la pr\u00e9diction des tendances futures de la concentration de CO2 atmosph\u00e9rique. Cependant, il n'est pas certain qu'il existe une tendance universelle dans la r\u00e9ponse de la respiration microbienne \u00e0 l'augmentation de la temp\u00e9rature et \u00e0 l'ajout de nutriments parmi les diff\u00e9rents types de v\u00e9g\u00e9tation. Dans cette \u00e9tude, les sols ont \u00e9t\u00e9 \u00e9chantillonn\u00e9s au printemps, en \u00e9t\u00e9, en automne et en hiver \u00e0 partir de cinq types de v\u00e9g\u00e9tation dominants, y compris les for\u00eats de pins, de m\u00e9l\u00e8zes et de bouleaux, les arbustes et les prairies, dans la r\u00e9gion de Saihanba, dans le nord de la Chine. Les \u00e9chantillons de sol de chaque saison ont \u00e9t\u00e9 incub\u00e9s \u00e0 1, 10 et 20 \u00b0C pendant 5 \u00e0 7 jours. L'azote (N\u00a0; 0,035 mM sous forme de NH4NO3) et le phosphore (P\u00a0; 0,03 mM sous forme de P2O5) ont \u00e9t\u00e9 ajout\u00e9s aux \u00e9chantillons de sol, et les r\u00e9ponses de la respiration microbienne du sol \u00e0 l'augmentation de la temp\u00e9rature et \u00e0 l'ajout de nutriments ont \u00e9t\u00e9 d\u00e9termin\u00e9es. Nous avons constat\u00e9 une tendance universelle selon laquelle la respiration microbienne du sol augmentait avec l'augmentation de la temp\u00e9rature, ind\u00e9pendamment de la saison d'\u00e9chantillonnage ou du type de v\u00e9g\u00e9tation. La sensibilit\u00e9 \u00e0 la temp\u00e9rature (indiqu\u00e9e par Q10, l'augmentation du taux de respiration avec une augmentation de 10\u00b0C de la temp\u00e9rature) de la respiration microbienne \u00e9tait plus \u00e9lev\u00e9e au printemps et en automne qu'en \u00e9t\u00e9 et en hiver, quel que soit le type de v\u00e9g\u00e9tation. Le Q10 \u00e9tait significativement corr\u00e9l\u00e9 positivement avec la biomasse microbienne et le rapport champignon\u00a0: bact\u00e9rie. La respiration microbienne (ou Q10) n'a pas r\u00e9pondu de mani\u00e8re significative \u00e0 l'addition d'azote ou de phosphore. Nos r\u00e9sultats sugg\u00e8rent que l'apport en nutriments \u00e0 court terme pourrait ne pas modifier le taux de d\u00e9composition du COS ou sa sensibilit\u00e9 \u00e0 la temp\u00e9rature, alors que l'augmentation de la temp\u00e9rature pourrait am\u00e9liorer consid\u00e9rablement la d\u00e9composition du COS au printemps et en automne, par rapport \u00e0 l'hiver et \u00e0 l'\u00e9t\u00e9.", "keywords": ["Biomass (ecology)", "Atmospheric Science", "Microbial population biology", "Larix", "Carbon Dynamics in Peatland Ecosystems", "Forests", "Agricultural and Biological Sciences", "Soil", "Soil water", "Pathology", "Carbon Feedback", "Biomass", "Betula", "Soil Microbiology", "2. Zero hunger", "Ecology", "Q10", "Respiration", "Q", "R", "Temperature", "Life Sciences", "Soil respiration", "04 agricultural and veterinary sciences", "Soil carbon", "Grassland", "Earth and Planetary Sciences", "Physical Sciences", "Respiration rate", "Medicine", "Seasons", "Vegetation (pathology)", "Research Article", "China", "Nitrogen", "Science", "Soil Science", "Environmental science", "Shrubland", "Genetics", "Arctic Permafrost Dynamics and Climate Change", "Soil Carbon Sequestration", "Biology", "Ecosystem", "Soil science", "Soil organic matter", "Soil Fertility", "Bacteria", "Fungi", "Botany", "15. Life on land", "Pinus", "Vegetation Change", "Carbon", "Agronomy", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Growing season", "0401 agriculture", " forestry", " and fisheries", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "Nutrient"], "contacts": [{"organization": "Yu-Qi Qian, Fangliang He, Wei Wang,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1371/journal.pone.0153415"}, {"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": "10.1371/journal.pone.0153415", "name": "item", "description": "10.1371/journal.pone.0153415", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1371/journal.pone.0153415"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-04-12T00:00:00Z"}}, {"id": "10.15201/hungeobull.68.2.2", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:19:26Z", "type": "Journal Article", "created": "2019-07-02", "title": "Citizen observatory based soil moisture monitoring \u2013 the GROW example", "description": "GROW Observatory is a project funded under the European Union\u2019s Horizon 2020 research and innovation program. Its aim is to establish a large scale (more than 20,000 participants), resilient and integrated \u2018Citizen Observatory\u2019 (CO) and community for environmental monitoring that is self-sustaining beyond the life of the project. This article describes how the initial framework and tools were developed to evolve, bring together and train such a community; raising interest, engaging participants, and educating to support reliable observations, measurements and documentation, and considerations with a special focus on the reliability of the resulting dataset for scientific purposes. The scientific purposes of GROW observatory are to test the data\u00a0 quality and the spatial representativity of a citizen engagement driven spatial distribution as reliably inputs for soil moisture monitoring and to create timely series of gridded soil moisture products based on citizens\u2019 observations using low cost soil moisture (SM) sensors, and to provide an extensive dataset of in situ soil moisture observations which can serve as a reference to validate satellite-based SM products and support the Copernicus in situ component. This article aims to showcase the initial steps of setting up such a monitoring network that has been reached at the mid-way point of the project\u2019s funded period, focusing mainly on the design and development of the CO monitoring network.", "keywords": ["Planning and Development", "Crowdsourced data", "570", "Geography (General)", "550", "Soil moisture monitoring", "crowdsourced data", "0207 environmental engineering", "/dk/atira/pure/subjectarea/asjc/3300/3305", "02 engineering and technology", "Citizen science", "15. Life on land", "name=General Earth and Planetary Sciences", "name=Geography", "Citizen observatory", "12. Responsible consumption", "13. Climate action", "citizen science", "11. Sustainability", "soil moisture monitoring", "G1-922", "/dk/atira/pure/subjectarea/asjc/1900/1900", "citizen observatory"]}, "links": [{"href": "https://pure.iiasa.ac.at/id/eprint/16020/1/document%20%281%29.pdf"}, {"href": "http://pure.iiasa.ac.at/id/eprint/16020/1/document%20%281%29.pdf"}, {"href": "https://doi.org/10.15201/hungeobull.68.2.2"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hungarian%20Geographical%20Bulletin", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.15201/hungeobull.68.2.2", "name": "item", "description": "10.15201/hungeobull.68.2.2", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15201/hungeobull.68.2.2"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-01T00:00:00Z"}}, {"id": "10.3390/rs71114708", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:50Z", "type": "Journal Article", "created": "2015-11-05", "title": "Estimation of Evapotranspiration and Crop Coefficients of Tendone Vineyards Using Multi-Sensor Remote Sensing Data in a Mediterranean Environment", "description": "<p>The sustainable management of water resources plays a key role in Mediterranean viticulture, characterized by scarcity and competition of available water. This study focuses on estimating the evapotranspiration and crop coefficients of table grapes vineyards trained on overhead \uffe2\uff80\uff9ctendone\uffe2\uff80\uff9d systems in the Apulia region (Italy). Maximum vineyard transpiration was estimated by adopting the \uffe2\uff80\uff9cdirect\uffe2\uff80\uff9d methodology for ETp proposed by the Food and Agriculture Organization in Irrigation and Drainage Paper No. 56, with crop parameters estimated from Landsat 8 and RapidEye satellite data in combination with ground-based meteorological data. The modeling results of two growing seasons (2013 and 2014) indicated that canopy growth, seasonal and 10-day sums evapotranspiration values were strictly related to thermal requirements and rainfall events. The estimated values of mean seasonal daily evapotranspiration ranged between 4.2 and 4.1 mm\uffc2\uffb7d\uffe2\uff88\uff921, while midseason estimated values of crop coefficients ranged from 0.88 to 0.93 in 2013,  and 1.02 to 1.04 in 2014, respectively. The experimental evapotranspiration values calculated represent the maximum value in absence of stress, so the resulting crop coefficients should be used with some caution. It is concluded that the retrieval of crop parameters and evapotranspiration derived from remotely-sensed data could be helpful for downscaling to the field the local weather conditions and agronomic practices and thus may be the basis for supporting grape growers and irrigation managers.</p>", "keywords": ["Landsat 8", "2. Zero hunger", "0106 biological sciences", "Evapotranspiration", "leaf area index", "Science", "Q", "evapotranspiration", "table grapes", "Remote sensing", "15. Life on land", "Vineyards", "01 natural sciences", "6. Clean water", "evapotranspiration; crop coefficient; leaf area index; Landsat 8; RapidEye; remote sensing; vineyards; table grapes", "Crop coefficient; Evapotranspiration; Landsat 8; Leaf area index; RapidEye; Remote sensing; Table grapes; Vineyards; Earth and Planetary Sciences (all)", "remote sensing", "vineyards", "Table grapes", "Crop coefficient", "Leaf area index", "RapidEye", "Earth and Planetary Sciences (all)", "crop coefficient"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/7/11/14708/pdf"}, {"href": "https://www.iris.unina.it/bitstream/11588/637935/1/remotesensing2015-07-14708.pdf"}, {"href": "https://doi.org/10.3390/rs71114708"}, {"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/rs71114708", "name": "item", "description": "10.3390/rs71114708", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs71114708"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-11-05T00:00:00Z"}}, {"id": "10.3389/ffunb.2021.716385", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:30Z", "type": "Journal Article", "created": "2021-09-29", "title": "In-depth Phylogenomic Analysis of Arbuscular Mycorrhizal Fungi Based on a Comprehensive Set of de novo Genome Assemblies", "description": "<p>Morphological characters and nuclear ribosomal DNA (rDNA) phylogenies have so far been the basis of the current classifications of arbuscular mycorrhizal (AM) fungi. Improved understanding of the evolutionary history of AM fungi requires extensive ortholog sampling and analyses of genome and transcriptome data from a wide range of taxa. To circumvent the need for axenic culturing of AM fungi we gathered and combined genomic data from single nuclei to generate de novo genome assemblies covering seven families of AM fungi. We successfully sequenced the genomes of 15 AM fungal species for which genome data was not previously available. Comparative analysis of the previously published Rhizophagus irregularis DAOM197198 assembly confirm that our novel workflow generates genome assemblies suitable for phylogenomic analysis. Predicted genes of our assemblies, together with published protein sequences of AM fungi and their sister clades, were used for phylogenomic analyses. We evaluated the phylogenetic placement of Glomeromycota in relation to its sister phyla (Mucoromycota and Mortierellomycota), and found no support to reject a polytomy. Finally, we explored the phylogenetic relationships within Glomeromycota. Our results support family level classification from previous phylogenetic studies, and the polyphyly of the order Glomerales with Claroideoglomeraceae as the sister group to Glomeraceae and Diversisporales.</p>", "keywords": ["0301 basic medicine", "Evolutionary Biology", "0303 health sciences", "Biologisk systematik", "topology", "572", "Plant culture", "Biological Systematics", "15. Life on land", "single nuclei sequencing", "SB1-1110", "Evolutionsbiologi", "03 medical and health sciences", "genomics", "General Earth and Planetary Sciences", "Fungal Biology", "phylogenetic", "Glomeromycota", "General Environmental Science"]}, "links": [{"href": "https://pub.epsilon.slu.se/26757/1/montoliu-nerin_m_et_al_220120.pdf"}, {"href": "https://doi.org/10.3389/ffunb.2021.716385"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Fungal%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/ffunb.2021.716385", "name": "item", "description": "10.3389/ffunb.2021.716385", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/ffunb.2021.716385"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-04-11T00:00:00Z"}}, {"id": "10.3390/rs12040638", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:48Z", "type": "Journal Article", "created": "2020-02-20", "title": "Historical Aerial Surveys Map Long-Term Changes of Forest Cover and Structure in the Central Congo Basin", "description": "<p>Given the impact of tropical forest disturbances on atmospheric carbon emissions, biodiversity, and ecosystem productivity, accurate long-term reporting of Land-Use and Land-Cover (LULC) change in the pre-satellite era (&lt;1972) is an imperative. Here, we used a combination of historical (1958) aerial photography and contemporary remote sensing data to map long-term changes in the extent and structure of the tropical forest surrounding Yangambi (DR Congo) in the central Congo Basin. Our study leveraged structure-from-motion and a convolutional neural network-based LULC classifier, using synthetic landscape-based image augmentation to map historical forest cover across a large orthomosaic (~93,431 ha) geo-referenced to ~4.7 \uffc2\uffb1 4.3 m at submeter resolution. A comparison with contemporary LULC data showed a shift from previously highly regular industrial deforestation of large areas to discrete smallholder farming clearing, increasing landscape fragmentation and providing opportunties for substantial forest regrowth. We estimated aboveground carbon gains through reforestation to range from 811 to 1592 Gg C, partially offsetting historical deforestation (2416 Gg C), in our study area. Efforts to quantify long-term canopy texture changes and their link to aboveground carbon had limited to no success. Our analysis provides methods and insights into key spatial and temporal patterns of deforestation and reforestation at a multi-decadal scale, providing a historical context for past and ongoing forest research in the area.</p>", "keywords": ["Agriculture and Food Sciences", "0301 basic medicine", "aerial survey", "550", "Science", "CONSERVATION", "ANTHROPOGENIC DISTURBANCE", "03 medical and health sciences", "TROPICAL DEFORESTATION", "RATES", "congo basin", "[SDE.ES]Environmental Sciences/Environment and Society", "cnn", "580", "CARBON EMISSIONS", "aerial survey; data recovery; CNN; deep learning; SfM; Congo Basin", "0303 health sciences", "PHOTOGRAPHS", "Q", "deep learning", "15. Life on land", "Congo Basin", "LAND-COVER", "sfm", "13. Climate action", "Earth and Environmental Sciences", "SfM", "cavelab", "General Earth and Planetary Sciences", "CO2", "VEGETATION", "SELF-SIMILARITY", "CNN", "data recovery"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/12/4/638/pdf"}, {"href": "https://www.mdpi.com/2072-4292/12/4/638/pdf"}, {"href": "https://doi.org/10.3390/rs12040638"}, {"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/rs12040638", "name": "item", "description": "10.3390/rs12040638", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs12040638"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-02-14T00:00:00Z"}}, {"id": "10.3390/rs12121946", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:49Z", "type": "Journal Article", "created": "2020-06-17", "title": "Multiplatform-SfM and TLS Data Fusion for Monitoring Agricultural Terraces in Complex Topographic and Landcover Conditions", "description": "<p>Agricultural terraced landscapes, which are important historical heritage sites (e.g., UNESCO or Globally Important Agricultural Heritage Systems (GIAHS) sites) are under threat from increased soil degradation due to climate change and land abandonment. Remote sensing can assist in the assessment and monitoring of such cultural ecosystem services. However, due to the limitations imposed by rugged topography and the occurrence of vegetation, the application of a single high-resolution topography (HRT) technique is challenging in these particular agricultural environments. Therefore, data fusion of HRT techniques (terrestrial laser scanning (TLS) and aerial/terrestrial structure from motion (SfM)) was tested for the first time in this context (terraces), to the best of our knowledge, to overcome specific detection problems such as the complex topographic and landcover conditions of the terrace systems. SfM\uffe2\uff80\uff93TLS data fusion methodology was trialed in order to produce very high-resolution digital terrain models (DTMs) of two agricultural terrace areas, both characterized by the presence of vegetation that covers parts of the subvertical surfaces, complex morphology, and inaccessible areas. In the unreachable areas, it was necessary to find effective solutions to carry out HRT surveys; therefore, we tested the direct georeferencing (DG) method, exploiting onboard multifrequency GNSS receivers for unmanned aerial vehicles (UAVs) and postprocessing kinematic (PPK) data. The results showed that the fusion of data based on different methods and acquisition platforms is required to obtain accurate DTMs that reflect the real surface roughness of terrace systems without gaps in data. Moreover, in inaccessible or hazardous terrains, a combination of direct and indirect georeferencing was a useful solution to reduce the substantial inconvenience and cost of ground control point (GCP) placement. We show that in order to obtain a precise data fusion in these complex conditions, it is essential to utilize a complete and specific workflow. This workflow must incorporate all data merging issues and landcover condition problems, encompassing the survey planning step, the coregistration process, and the error analysis of the outputs. The high-resolution DTMs realized can provide a starting point for land degradation process assessment of these agriculture environments and supplies useful information to stakeholders for better management and protection of such important heritage landscapes.</p>", "keywords": ["data fusion", "VDP::Mathematics and natural science: 400::Geosciences: 450", "coregistration", "Science", "VDP::Technology: 500", "Q", "0211 other engineering and technologies", "02 engineering and technology", "15. Life on land", "direct georeferencing", "01 natural sciences", "VDP::Teknologi: 500", "data fusion; coregistration; TLS; SfM; terrace; direct georeferencing", "terrace", "13. Climate action", "SfM", "TLS", "VDP::Matematikk og Naturvitenskap: 400::Geofag: 450", "Coregistration; Data fusion; Direct georeferencing; SfM; Terrace; TLS", "General Earth and Planetary Sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://eprints.whiterose.ac.uk/162083/1/remotesensing_12_01946.pdf"}, {"href": "http://www.mdpi.com/2072-4292/12/12/1946/pdf"}, {"href": "https://www.research.unipd.it/bitstream/11577/3345525/1/Cucchiaro%20et%20al.%20%282020%29.pdf"}, {"href": "https://www.mdpi.com/2072-4292/12/12/1946/pdf"}, {"href": "https://doi.org/10.3390/rs12121946"}, {"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/rs12121946", "name": "item", "description": "10.3390/rs12121946", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs12121946"}, {"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": "10.3390/rs9111155", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:50Z", "type": "Journal Article", "created": "2017-11-10", "title": "Disaggregation of SMOS Soil Moisture to 100 m Resolution Using MODIS Optical/Thermal and Sentinel-1 Radar Data: Evaluation over a Bare Soil Site in Morocco", "description": "<p>The 40 km resolution SMOS (Soil Moisture and Ocean Salinity) soil moisture, previously disaggregated at a 1 km resolution using the DISPATCH (DISaggregation based on Physical And Theoretical scale CHange) method based on MODIS optical/thermal data, is further disaggregated to 100 m resolution using Sentinel-1 backscattering coefficient (\uffcf\uff83\uffc2\uffb0). For this purpose, three distinct radar-based disaggregation methods are tested by linking the spatio-temporal variability of \uffcf\uff83\uffc2\uffb0 and soil moisture data at the 1 km and 100 m resolution. The three methods are: (1) the weight method, which estimates soil moisture at 100 m resolution at a certain time as a function of \uffcf\uff83\uffc2\uffb0 ratio (100 m to 1 km resolution) and the 1 km DISPATCH products of the same time; (2) the regression method which estimates soil moisture as a function of \uffcf\uff83\uffc2\uffb0 where the regression parameters (e.g., intercept and slope) vary in space and time; and (3) the Cumulative Distribution Function (CDF) method, which estimates 100 m resolution soil moisture from the cumulative probability of 100 m resolution backscatter and the maximum to minimum 1 km resolution (DISPATCH) soil moisture difference. In each case, disaggregation results are evaluated against in situ measurements collected between 1 January 2016 and 11 October 2016 over a bare soil site in central Morocco. The determination coefficient (R2) between 1 km resolution DISPATCH and localized in situ soil moisture is 0.31. The regression and CDF methods have marginal effect on improving the DISPATCH accuracy at the station scale with a R2 between remotely sensed and in situ soil moisture of 0.29 and 0.34, respectively. By contrast, the weight method significantly improves the correlation between remotely sensed and in situ soil moisture with a R2 of 0.52. Likewise, the soil moisture estimates show low root mean square difference with in situ measurements (RMSD= 0.032 m3 m\uffe2\uff88\uff923).</p>", "keywords": ["soil moisture and ocean salinity satellite (SMOS)", "Atmospheric Science", "Artificial intelligence", "Environmental Engineering", "550", "Science", "Soil Moisture", "0211 other engineering and technologies", "Aerospace Engineering", "FOS: Mechanical engineering", "02 engineering and technology", "01 natural sciences", "Environmental science", "[SDU] Sciences of the Universe [physics]", "Engineering", "Meteorology", "DISPATCH", "Image resolution", "Arctic Permafrost Dynamics and Climate Change", "14. Life underwater", "Moisture", "0105 earth and related environmental sciences", "Soil science", "Water content", "Radar", "Geography", "soil moisture and ocean salinity satellite (SMOS); DISPATCH; radar; Sentinel-1; disaggregation; soil moisture", "Soilmoisture and ocean salinity satellite (SMOS)", "Synthetic Aperture Radar Interferometry", "Q", "FOS: Environmental engineering", "Geology", "FOS: Earth and related environmental sciences", "Remote sensing", "Remote Sensing of Soil Moisture", "Surface Deformation Monitoring", "Computer science", "Earth and Planetary Sciences", "Groundwater Extraction", "Geotechnical engineering", "[SDU]Sciences of the Universe [physics]", "disaggregation", "Environmental Science", "Physical Sciences", "Sentinel-1", "soil moisture", "radar"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/9/11/1155/pdf"}, {"href": "https://doi.org/10.3390/rs9111155"}, {"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/rs9111155", "name": "item", "description": "10.3390/rs9111155", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs9111155"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-11-10T00:00:00Z"}}, {"id": "10871/31936", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:32Z", "type": "Journal Article", "created": "2017-07-24", "title": "Representation of dissolved organic carbon in the JULES land surface model (vn4.4_JULES-DOCM)", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Current global models of the carbon (C) cycle consider only vertical gas exchanges between terrestrial or oceanic reservoirs and the atmosphere, thus not considering lateral transport of carbon from the continents to the oceans. Therefore, those models implicitly consider that all the C which is not respired to the atmosphere is stored on land, hence overestimating the land C sink capability. A model that represents the whole continuum from atmosphere to land and into the ocean would provide better understanding of the Earth's C cycle and hence more reliable historical or future projections. We present an original representation of Dissolved Organic C (DOC) processes in the Joint UK Land Environment Simulator (JULES-DOCM). The standard version of JULES represents energy, water and carbon dynamics between vegetation, soil and atmosphere, while lateral fluxes only account for water run-off. Here we integrate a representation of DOC production in terrestrial ecosystems based on incomplete decomposition of organic matter, DOC decomposition within the soil column, and DOC export to the river network via leaching. The model performance is evaluated in five specific sites for which observations of soil DOC concentration are available. Results show that the model is able to reproduce the DOC concentration and controlling processes including leaching to the riverine system which is fundamental for integrating terrestrial and aquatic ecosystems.</p></article>", "keywords": ["QE1-996.5", "Multidisciplinary", "550", "Physics", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "/dk/atira/pure/sustainabledevelopmentgoals/life_on_land; name=SDG 15 - Life on Land", "Geology", "/dk/atira/pure/core/keywords/biology; name=Ecosystems Research", "15. Life on land", "[SDU] Sciences of the Universe [physics]", "Sciences de la terre et du cosmos", "Environmental Sciences related to Agriculture and Land-use", "/dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy; name=SDG 7 - Affordable and Clean Energy", "[SDU]Sciences of the Universe [physics]", "/dk/atira/pure/subjectarea/asjc/1900; name=Earth and Planetary Sciences(all)", "13. Climate action", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "14. Life underwater", "Geosciences", " Multidisciplinary", "Geosciences", "/dk/atira/pure/subjectarea/asjc/2600/2611; name=Modelling and Simulation"]}, "links": [{"href": "https://pub.epsilon.slu.se/15362/1/Nakhavali_et_al_180507.pdf"}, {"href": "https://gmd.copernicus.org/articles/11/593/2018/gmd-11-593-2018.pdf"}, {"href": "https://dipot.ulb.ac.be/dspace/bitstream/2013/282704/1/doi_266331.pdf"}, {"href": "https://doi.org/10871/31936"}, {"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": "10871/31936", "name": "item", "description": "10871/31936", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10871/31936"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-07-24T00:00:00Z"}}, {"id": "10.5167/uzh-237521", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:20Z", "type": "Journal Article", "created": "2023-10-02", "title": "Soil carbon losses due to priming moderated by adaptation and legacy effects", "keywords": ["10122 Institute of Geography", "1900 General Earth and Planetary Sciences", "General Earth and Planetary Sciences", "910 Geography & travel"]}, "links": [{"href": "https://www.nature.com/articles/s41561-023-01275-3.pdf"}, {"href": "https://doi.org/10.5167/uzh-237521"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Geoscience", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5167/uzh-237521", "name": "item", "description": "10.5167/uzh-237521", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5167/uzh-237521"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-10-01T00:00:00Z"}}, {"id": "10.5194/essd-10-405-2018", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:31Z", "type": "Journal Article", "created": "2018-03-12", "title": "Global Carbon Budget 2017", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere \u2013 the global carbon budget \u2013 is important to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe data sets and methodology to quantify the five major components of the global carbon budget and their uncertainties. CO2 emissions from fossil fuels and industry (EFF) are based on energy statistics and cement production data, respectively, while emissions from land-use change (ELUC), mainly deforestation, are based on land-cover change data and bookkeeping models. The global atmospheric CO2 concentration is measured directly and its rate of growth (GATM) is computed from the annual changes in concentration. The ocean CO2 sink (SOCEAN) and terrestrial CO2 sink (SLAND) are estimated with global process models constrained by observations. The resulting carbon budget imbalance (BIM), the difference between the estimated total emissions and the estimated changes in the atmosphere, ocean, and terrestrial biosphere, is a measure of imperfect data and understanding of the contemporary carbon cycle. All uncertainties are reported as \u00b11\u03c3. For the last decade available (2007\u20132016), EFF was 9.4\u202f\u00b1\u202f0.5\u202fGtC\u202fyr\u22121, ELUC 1.3\u202f\u00b1\u202f0.7\u202fGtC\u202fyr\u22121, GATM 4.7\u202f\u00b1\u202f0.1\u202fGtC\u202fyr\u22121, SOCEAN 2.4\u202f\u00b1\u202f0.5\u202fGtC\u202fyr\u22121, and SLAND 3.0\u202f\u00b1\u202f0.8\u202fGtC\u202fyr\u22121, with a budget imbalance BIM of 0.6\u202fGtC\u202fyr\u22121 indicating overestimated emissions and/or underestimated sinks. For year 2016 alone, the growth in EFF was approximately zero and emissions remained at 9.9\u202f\u00b1\u202f0.5\u202fGtC\u202fyr\u22121. Also for 2016, ELUC was 1.3\u202f\u00b1\u202f0.7\u202fGtC\u202fyr\u22121, GATM was 6.1\u202f\u00b1\u202f0.2\u202fGtC\u202fyr\u22121, SOCEAN was 2.6\u202f\u00b1\u202f0.5\u202fGtC\u202fyr\u22121, and SLAND was 2.7\u202f\u00b1\u202f1.0\u202fGtC\u202fyr\u22121, with a small BIM of \u22120.3\u202fGtC. GATM continued to be higher in 2016 compared to the past decade (2007\u20132016), reflecting in part the high fossil emissions and the small SLAND consistent with El Ni\u00f1o conditions. The global atmospheric CO2 concentration reached 402.8\u202f\u00b1\u202f0.1\u202fppm averaged over 2016. For 2017, preliminary data for the first 6\u20139\u00a0months indicate a renewed growth in EFF of +2.0\u202f% (range of 0.8 to 3.0\u202f%) based on national emissions projections for China, USA, and India, and projections of gross domestic product (GDP) corrected for recent changes in the carbon intensity of the economy for the rest of the world. This living data update documents changes in the methods and data sets used in this new global carbon budget compared with previous publications of this data set (Le Qu\u00e9r\u00e9 et al., 2016, 2015b, a, 2014, 2013). All results presented here can be downloaded from https://doi.org/10.18160/GCP-2017 (GCP, 2017).                     </p></article>", "keywords": ["ENVIRONMENT SIMULATOR JULES", "550", "530 Physics", "[PHYS.PHYS.PHYS-GEO-PH] Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph]", "MIXED-LAYER SCHEME", "INTERNATIONAL-TRADE", "7. Clean energy", "01 natural sciences", "333", "12. Responsible consumption", "FOSSIL-FUEL COMBUSTION", "ANTHROPOGENIC CO2 UPTAKE", "11. Sustainability", "SDG 13 - Climate Action", "Life Science", "GE1-350", "SDG 14 - Life Below Water", "ATMOSPHERIC CO2", "DIOXIDE EMISSIONS", "SDG 15 - Life on Land", "0105 earth and related environmental sciences", "LAND-COVER CHANGE", "QE1-996.5", "info:eu-repo/classification/ddc/550", "EARTH SYSTEM MODEL", "ddc:550", "VEGETATION MODEL", "Geology", "15. Life on land", "Environmental sciences", "Earth sciences", "13. Climate action", "8. Economic growth", "General Earth and Planetary Sciences"]}, "links": [{"href": "https://ueaeprints.uea.ac.uk/id/eprint/66578/1/Published_manuscript.pdf"}, {"href": "http://oceanrep.geomar.de/42391/1/essd-10-405-2018.pdf"}, {"href": "https://boris.unibe.ch/116576/1/lequere18essd.pdf"}, {"href": "https://pure.iiasa.ac.at/id/eprint/15161/1/essd-10-405-2018.pdf"}, {"href": "http://pure.iiasa.ac.at/id/eprint/15161/1/essd-10-405-2018.pdf"}, {"href": "https://essd.copernicus.org/articles/10/405/2018/essd-10-405-2018.pdf"}, {"href": "https://doi.org/10.5194/essd-10-405-2018"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Earth%20System%20Science%20Data", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/essd-10-405-2018", "name": "item", "description": "10.5194/essd-10-405-2018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/essd-10-405-2018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-03-12T00:00:00Z"}}, {"id": "10.5194/gmd-11-937-2018", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:33Z", "type": "Journal Article", "created": "2018-03-15", "title": "ORCHIDEE-SOM: modeling soil organic carbon (SOC) and dissolved organic carbon (DOC) dynamics along vertical soil profiles in Europe", "description": "<p>Abstract. Current land surface models (LSMs) typically represent soils in a\uffc2\uffa0very simplistic way, assuming soil organic carbon (SOC) as a\uffc2\uffa0bulk, and thus impeding a\uffc2\uffa0correct representation of deep soil carbon dynamics. Moreover, LSMs generally neglect the production and export of dissolved organic carbon (DOC) from soils to rivers, leading to overestimations of the potential carbon sequestration on land. This common oversimplified processing of SOC in LSMs is partly responsible for the large uncertainty in the predictions of the soil carbon response to climate change. In this study, we present a\uffc2\uffa0new soil carbon module called ORCHIDEE-SOM, embedded within the land surface model ORCHIDEE, which is able to reproduce the DOC and SOC dynamics in a\uffc2\uffa0vertically discretized soil to 2\uffe2\uff80\uffafm. The model includes processes of biological production and consumption of SOC and DOC, DOC adsorption on and desorption from soil minerals, diffusion of SOC and DOC, and DOC transport with water through and out of the soils to rivers. We evaluated ORCHIDEE-SOM against observations of DOC concentrations and SOC stocks from four European sites with different vegetation covers: a\uffc2\uffa0coniferous forest, a\uffc2\uffa0deciduous forest, a\uffc2\uffa0grassland, and a\uffc2\uffa0cropland. The model was able to reproduce the SOC stocks along their vertical profiles at the four sites and the DOC concentrations within the range of measurements, with the exception of the DOC concentrations in the upper soil horizon at the coniferous forest. However, the model was not able to fully capture the temporal dynamics of DOC concentrations. Further model improvements should focus on a\uffc2\uffa0plant- and depth-dependent parameterization of the new input model parameters, such as the turnover times of DOC and the microbial carbon use efficiency. We suggest that this new soil module, when parameterized for global simulations, will improve the representation of the global carbon cycle in LSMs, thus helping to constrain the predictions of the future SOC response to global warming.                     </p>", "keywords": ["550", "/dk/atira/pure/core/keywords/nachhaltigkeitswissenschaft; name=Sustainability Science", "Climate", "/dk/atira/pure/discipline/B000/B006/B410-bodembeheer", "01 natural sciences", "/dk/atira/pure/thematic/inbo_th_00043", "/dk/atira/pure/thematic/inbo_th_00022", "SDG 13 - Climate Action", "/dk/atira/pure/sustainabledevelopmentgoals/climate_action; name=SDG 13 - Climate Action", "/dk/atira/pure/subjectarea/asjc/2600/2611; name=Modelling and Simulation", "0105 earth and related environmental sciences", "2. Zero hunger", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "Woods and parks", "QE1-996.5", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "Physics", "/dk/atira/pure/sustainabledevelopmentgoals/life_on_land; name=SDG 15 - Life on Land", "Geology", "Geokemi", "04 agricultural and veterinary sciences", "15. Life on land", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "Sciences de la terre et du cosmos", "Geochemistry", "/dk/atira/pure/subjectarea/asjc/1900; name=Earth and Planetary Sciences(all)", "13. Climate action", "8. Economic growth", "0401 agriculture", " forestry", " and fisheries", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment", "B410-soil-science"]}, "links": [{"href": "https://gmd.copernicus.org/articles/11/937/2018/gmd-11-937-2018.pdf"}, {"href": "https://dipot.ulb.ac.be/dspace/bitstream/2013/282703/1/doi_266330.pdf"}, {"href": "https://doi.org/10.5194/gmd-11-937-2018"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Model%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/gmd-11-937-2018", "name": "item", "description": "10.5194/gmd-11-937-2018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/gmd-11-937-2018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-11-16T00:00:00Z"}}, {"id": "10.5194/gmd-2017-172", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:33Z", "type": "Journal Article", "created": "2017-07-24", "title": "Representation of dissolved organic carbon in the JULES land surface model (vn4.4_JULES-DOCM)", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Current global models of the carbon (C) cycle consider only vertical gas exchanges between terrestrial or oceanic reservoirs and the atmosphere, thus not considering lateral transport of carbon from the continents to the oceans. Therefore, those models implicitly consider that all the C which is not respired to the atmosphere is stored on land, hence overestimating the land C sink capability. A model that represents the whole continuum from atmosphere to land and into the ocean would provide better understanding of the Earth's C cycle and hence more reliable historical or future projections. We present an original representation of Dissolved Organic C (DOC) processes in the Joint UK Land Environment Simulator (JULES-DOCM). The standard version of JULES represents energy, water and carbon dynamics between vegetation, soil and atmosphere, while lateral fluxes only account for water run-off. Here we integrate a representation of DOC production in terrestrial ecosystems based on incomplete decomposition of organic matter, DOC decomposition within the soil column, and DOC export to the river network via leaching. The model performance is evaluated in five specific sites for which observations of soil DOC concentration are available. Results show that the model is able to reproduce the DOC concentration and controlling processes including leaching to the riverine system which is fundamental for integrating terrestrial and aquatic ecosystems.                         </p></article>", "keywords": ["QE1-996.5", "Multidisciplinary", "550", "Physics", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "/dk/atira/pure/sustainabledevelopmentgoals/life_on_land; name=SDG 15 - Life on Land", "Geology", "/dk/atira/pure/core/keywords/biology; name=Ecosystems Research", "15. Life on land", "[SDU] Sciences of the Universe [physics]", "Sciences de la terre et du cosmos", "Environmental Sciences related to Agriculture and Land-use", "/dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy; name=SDG 7 - Affordable and Clean Energy", "[SDU]Sciences of the Universe [physics]", "/dk/atira/pure/subjectarea/asjc/1900; name=Earth and Planetary Sciences(all)", "13. Climate action", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "14. Life underwater", "Geosciences", " Multidisciplinary", "Geosciences", "/dk/atira/pure/subjectarea/asjc/2600/2611; name=Modelling and Simulation"]}, "links": [{"href": "https://pub.epsilon.slu.se/15362/1/Nakhavali_et_al_180507.pdf"}, {"href": "https://gmd.copernicus.org/articles/11/593/2018/gmd-11-593-2018.pdf"}, {"href": "https://dipot.ulb.ac.be/dspace/bitstream/2013/282704/1/doi_266331.pdf"}, {"href": "https://doi.org/10.5194/gmd-2017-172"}, {"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-2017-172", "name": "item", "description": "10.5194/gmd-2017-172", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/gmd-2017-172"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-07-24T00:00:00Z"}}, {"id": "10.5194/hess-24-3789-2020", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:35Z", "type": "Journal Article", "created": "2020-07-27", "title": "Evapotranspiration partition using the multiple energy balance version of the ISBA-A-gs land surface model over two irrigated crops in a semi-arid Mediterranean region (Marrakech, Morocco)", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. The main objective of this work is to question the representation of the energy budget in soil\u2013vegetation\u2013atmosphere transfer\u00a0(SVAT) models for the prediction of the turbulent fluxes in the case of irrigated crops with a complex structure (row) and under strong transient hydric regimes due to irrigation. To this end, the Interaction between Soil, Biosphere, and Atmosphere\u00a0(ISBA-A-gs) is evaluated at a complex open olive orchard and, for the purposes of comparison, on a winter wheat field taken as an example of a homogeneous canopy. The initial version of ISBA-A-gs, based on a composite energy budget (hereafter ISBA-1P for one\u00a0patch), is compared to the new multiple energy balance\u00a0(MEB) version of ISBA that represents a double source arising from the vegetation located above the soil layer. In addition, a patch representation corresponding to two adjacent, uncoupled source schemes (hereafter ISBA-2P for two\u00a0patches) is also considered for the olive orchard. Continuous observations of evapotranspiration\u00a0(ET), with an eddy covariance system and plant transpiration\u00a0(Tr) with sap flow and isotopic methods were used to evaluate the three representations. A preliminary sensitivity analyses showed a strong sensitivity to the parameters related to turbulence in the canopy introduced in the new ISBA\u2013MEB version. For wheat, the ability of the single- and dual-source configuration to reproduce the composite soil\u2013vegetation heat fluxes was very similar; the root mean square error (RMSE) differences between ISBA-1P, ISBA-2P and ISBA\u2013MEB did not exceed 10\u2009W\u2009m\u22122 for the latent heat flux. These results showed that a composite energy balance in homogeneous covers is sufficient to reproduce the total convective fluxes. The two configurations are also fairly close to the isotopic observations of transpiration in spite of a light underestimation (overestimation) of ISBA-1P\u00a0(ISBA\u2013MEB). At the olive orchard, contrasting results are obtained. The dual-source configurations, including both the uncoupled\u00a0(ISBA-2P) and the coupled\u00a0(ISBA\u2013MEB) representations, outperformed the single-source version\u00a0(ISBA-1P), with slightly better results for ISBA\u2013MEB in predicting both total heat fluxes and evapotranspiration partition. Concerning plant transpiration in particular, the coupled approach ISBA\u2013MEB provides better results than ISBA-1P and, to a lesser extent, ISBA-2P with RMSEs of\u00a01.60, 0.90, and 0.70\u2009mm\u2009d\u22121 and R2\u00a0of\u00a00.43, 0.69, and\u00a00.70\u00a0for ISBA-1P, ISBA-2P and ISBA\u2013MEB, respectively. In addition, it is shown that the acceptable predictions of composite convective fluxes by ISBA-2P for the olive orchard are obtained for the wrong reasons as neither of the two patches is in agreement with the observations because of a bad spatial distribution of the roots and a lack of incoming radiation screening for the bare soil patch. This work shows that composite convection fluxes predicted by the SURFace EXternalis\u00e9e (SURFEX) platform and the partition of evapotranspiration in a highly transient regime due to irrigation is improved for moderately open tree canopies by the new coupled dual-source ISBA\u2013MEB model. It also points out the need for further local-scale evaluations on different crops of various geometry (more open rainfed agriculture or a denser, intensive olive orchard) to provide adequate parameterisation to global database, such as ECOCLIMAP-II, in the view of a global application of the ISBA\u2013MEB model.                     </p></article>", "keywords": ["Technology", "Atmospheric Science", "Atmospheric sciences", "550", "[SDV]Life Sciences [q-bio]", "0207 environmental engineering", "02 engineering and technology", "Energy balance", "Eddy covariance", "Environmental technology. Sanitary engineering", "01 natural sciences", "Environmental science", "G", "Meteorology", "Geography. Anthropology. Recreation", "GE1-350", "Biology", "TD1-1066", "Ecosystem", "0105 earth and related environmental sciences", "Soil science", "2. Zero hunger", "Global and Planetary Change", "Evapotranspiration", "Ecology", "Global Forest Drought Response and Climate Change", "T", "Causes and Impacts of Climate Change Over Millennia", "Physics", "Hydrology (agriculture)", "Geology", "FOS: Earth and related environmental sciences", "15. Life on land", "Agronomy", "[SDV] Life Sciences [q-bio]", "Environmental sciences", "Earth and Planetary Sciences", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Global Drought Monitoring and Assessment", "Leaf area index", "Thermodynamics", "Global Vegetation Models"]}, "links": [{"href": "https://doi.org/10.5194/hess-24-3789-2020"}, {"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-24-3789-2020", "name": "item", "description": "10.5194/hess-24-3789-2020", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/hess-24-3789-2020"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-10-15T00:00:00Z"}}, {"id": "10.5194/hess-25-5749-2021", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:35Z", "type": "Journal Article", "created": "2021-11-09", "title": "The International Soil Moisture Network: serving  Earth system science for over a decade", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. In\u00a02009, the International Soil Moisture Network\u00a0(ISMN) was initiated as a community effort, funded by the European Space Agency, to serve as a centralised data hosting facility for globally available in situ soil moisture measurements (Dorigo et\u00a0al.,\u00a02011b, a). The ISMN brings together in situ soil moisture measurements collected and freely shared by a multitude of organisations, harmonises them in terms of units and sampling rates, applies advanced quality control, and stores them in a database. Users can freely retrieve the data from this database through an online web portal (https://ismn.earth/en/, last access: 28\u00a0October\u00a02021). Meanwhile, the ISMN has evolved into the primary in situ soil moisture reference database worldwide, as evidenced by more than 3000\u00a0active users and over 1000\u00a0scientific publications referencing the data sets provided by the network. As of July\u00a02021, the ISMN now contains the data of 71\u00a0networks and 2842\u00a0stations located all over the globe, with a time period spanning from\u00a01952 to the present. The number of networks and stations covered by the ISMN is still growing, and approximately 70\u2009% of the data sets contained in the database continue to be updated on a regular or irregular basis. The main scope of this paper is to inform readers about the evolution of the ISMN over the past decade, including a description of network and data set updates and quality control procedures. A comprehensive review of the existing literature making use of ISMN data is also provided in order to identify current limitations in functionality and data usage and to shape priorities for the next decade of operations of this unique community-based data repository.                     </p></article>", "keywords": ["[SDE] Environmental Sciences", "Technology", "Atmospheric Science", "550", "Soil Moisture", "TA Engineering (General). Civil engineering (General)", "02 engineering and technology", "Soil Moisture; ISMN; IMA_CAN1; swc; STEMS", "Spatial variability", "Environmental technology. Sanitary engineering", "01 natural sciences", "Agency (philosophy)", "remote sensing", "Antecedent wetness conditions", "Engineering", "Geography. Anthropology. Recreation", "GE1-350", "TD1-1066", "Smos brightness temperature", "Heihe river-basin", "T", "Soil Water Retention", "Leaf-area index", "004", "FOS: Philosophy", " ethics and religion", "Programming language", "Earth and Planetary Sciences", "Physical Sciences", "name=Water Science and Technology", "/dk/atira/pure/subjectarea/asjc/1900/1901", "Medicine", "name=Earth and Planetary Sciences (miscellaneous)", "Mechanics and Transport in Unsaturated Soils", "Environmental Engineering", "Soil Moisture International Network", "0207 environmental engineering", "Epistemology", "Environmental science", "G", "Database", "Soil Moisture; network", "Arctic Permafrost Dynamics and Climate Change", "Scope (computer science)", "Land data assimilation", "Civil and Structural Engineering", "0105 earth and related environmental sciences", "info:eu-repo/classification/ddc/550", "Consecutive dry days", "in situ", "FOS: Environmental engineering", "AMSR-E", "15. Life on land", "Remote Sensing of Soil Moisture", "Globe", "Computer science", "Environmental sciences", "QE Geology", "Philosophy", "Ophthalmology", "In-situ measurements", "13. Climate action", "ITC-ISI-JOURNAL-ARTICLE", "global scale", "Environmental Science", "G70.212-70.215 Geographic information system", "soil moisture", "ITC-GOLD", "/dk/atira/pure/subjectarea/asjc/2300/2312", "Wireless sensor network"]}, "links": [{"href": "https://iris.polito.it/bitstream/11583/2998914/1/prod_447100-doc_161016.pdf"}, {"href": "https://iris.polito.it/bitstream/11583/2998914/2/prod_447100-doc_178365.pdf"}, {"href": "https://research.unipg.it/bitstream/11391/1498417/2/2021_The%20international%20soil_OA.pdf"}, {"href": "https://cris.unibo.it/bitstream/11585/910145/1/Dourigo_etal_2021.pdf"}, {"href": "https://doi.org/10.5194/hess-25-5749-2021"}, {"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-25-5749-2021", "name": "item", "description": "10.5194/hess-25-5749-2021", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/hess-25-5749-2021"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-09T00:00:00Z"}}, {"id": "20.500.11820/dad6a7dc-39c6-4504-8413-ebff547f6f53", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:25:00Z", "type": "Journal Article", "created": "2019-07-02", "title": "Citizen observatory based soil moisture monitoring \u2013 the GROW example", "description": "GROW Observatory is a project funded under the European Union\u2019s Horizon 2020 research and innovation program. Its aim is to establish a large scale (more than 20,000 participants), resilient and integrated \u2018Citizen Observatory\u2019 (CO) and community for environmental monitoring that is self-sustaining beyond the life of the project. This article describes how the initial framework and tools were developed to evolve, bring together and train such a community; raising interest, engaging participants, and educating to support reliable observations, measurements and documentation, and considerations with a special focus on the reliability of the resulting dataset for scientific purposes. The scientific purposes of GROW observatory are to test the data\u00a0 quality and the spatial representativity of a citizen engagement driven spatial distribution as reliably inputs for soil moisture monitoring and to create timely series of gridded soil moisture products based on citizens\u2019 observations using low cost soil moisture (SM) sensors, and to provide an extensive dataset of in situ soil moisture observations which can serve as a reference to validate satellite-based SM products and support the Copernicus in situ component. This article aims to showcase the initial steps of setting up such a monitoring network that has been reached at the mid-way point of the project\u2019s funded period, focusing mainly on the design and development of the CO monitoring network.", "keywords": ["Planning and Development", "Crowdsourced data", "570", "Geography (General)", "550", "Soil moisture monitoring", "crowdsourced data", "0207 environmental engineering", "/dk/atira/pure/subjectarea/asjc/3300/3305", "02 engineering and technology", "Citizen science", "15. Life on land", "name=General Earth and Planetary Sciences", "name=Geography", "Citizen observatory", "12. Responsible consumption", "13. Climate action", "citizen science", "11. Sustainability", "soil moisture monitoring", "G1-922", "/dk/atira/pure/subjectarea/asjc/1900/1900", "citizen observatory"]}, "links": [{"href": "https://pure.iiasa.ac.at/id/eprint/16020/1/document%20%281%29.pdf"}, {"href": "http://pure.iiasa.ac.at/id/eprint/16020/1/document%20%281%29.pdf"}, {"href": "https://doi.org/20.500.11820/dad6a7dc-39c6-4504-8413-ebff547f6f53"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hungarian%20Geographical%20Bulletin", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.11820/dad6a7dc-39c6-4504-8413-ebff547f6f53", "name": "item", "description": "20.500.11820/dad6a7dc-39c6-4504-8413-ebff547f6f53", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.11820/dad6a7dc-39c6-4504-8413-ebff547f6f53"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-01T00:00:00Z"}}, {"id": "10.5281/zenodo.3465229", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:22:58Z", "type": "Report", "created": "2019-10-23", "title": "3D geological model reconstruction for liquefaction hazard assessment in the Po Plain", "description": "Proceedings of the VII ICEGE 7th International Conference on Earthquake Geotechnical Engineering, Rome, Italy, 17-20 June 2019.", "keywords": ["dynamic", "550", "earthquake; site effects; topographic effect", "0211 other engineering and technologies", "600", "02 engineering and technology", "624", "laboratory tests", "name=General Earth and Planetary Sciences", "620", "site effects", " Central italy earthquake 2016", " Amatrice", "2-D numerical models", " GIS", "0201 civil engineering", "3D Geological model", " liquefaction hazard", " earthquake", " Po Plain.", "/dk/atira/pure/subjectarea/asjc/1900/1900", "name=General Environmental Science", "sandy", "/dk/atira/pure/subjectarea/asjc/2300/2300"], "contacts": [{"organization": "C. Meisina, R. Boni\u0300, M. Bordoni, C. Lai, A. Fama\u0300, F. Bozzoni, R. M. Cosentini, D. Castaldini, D. Fontana, S. Lugli, A. Ghinoi, L. Martelli, P. Severi,", "roles": ["creator"]}]}, "links": [{"href": "https://www.iris.unict.it/bitstream/20.500.11769/386431/2/ch385.pdf"}, {"href": "https://doi.org/10.5281/zenodo.3465229"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.3465229", "name": "item", "description": "10.5281/zenodo.3465229", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.3465229"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-10-22T00:00:00Z"}}, {"id": "10.60692/khb9k-9s285", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:23:55Z", "type": "Journal Article", "created": "2020-07-27", "title": "Evapotranspiration partition using the multiple energy balance version of the ISBA-A-gs land surface model over two irrigated crops in a semi-arid Mediterranean region (Marrakech, Morocco)", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. The main objective of this work is to question the representation of the energy budget in soil\u2013vegetation\u2013atmosphere transfer\u00a0(SVAT) models for the prediction of the turbulent fluxes in the case of irrigated crops with a complex structure (row) and under strong transient hydric regimes due to irrigation. To this end, the Interaction between Soil, Biosphere, and Atmosphere\u00a0(ISBA-A-gs) is evaluated at a complex open olive orchard and, for the purposes of comparison, on a winter wheat field taken as an example of a homogeneous canopy. The initial version of ISBA-A-gs, based on a composite energy budget (hereafter ISBA-1P for one\u00a0patch), is compared to the new multiple energy balance\u00a0(MEB) version of ISBA that represents a double source arising from the vegetation located above the soil layer. In addition, a patch representation corresponding to two adjacent, uncoupled source schemes (hereafter ISBA-2P for two\u00a0patches) is also considered for the olive orchard. Continuous observations of evapotranspiration\u00a0(ET), with an eddy covariance system and plant transpiration\u00a0(Tr) with sap flow and isotopic methods were used to evaluate the three representations. A preliminary sensitivity analyses showed a strong sensitivity to the parameters related to turbulence in the canopy introduced in the new ISBA\u2013MEB version. For wheat, the ability of the single- and dual-source configuration to reproduce the composite soil\u2013vegetation heat fluxes was very similar; the root mean square error (RMSE) differences between ISBA-1P, ISBA-2P and ISBA\u2013MEB did not exceed 10\u2009W\u2009m\u22122 for the latent heat flux. These results showed that a composite energy balance in homogeneous covers is sufficient to reproduce the total convective fluxes. The two configurations are also fairly close to the isotopic observations of transpiration in spite of a light underestimation (overestimation) of ISBA-1P\u00a0(ISBA\u2013MEB). At the olive orchard, contrasting results are obtained. The dual-source configurations, including both the uncoupled\u00a0(ISBA-2P) and the coupled\u00a0(ISBA\u2013MEB) representations, outperformed the single-source version\u00a0(ISBA-1P), with slightly better results for ISBA\u2013MEB in predicting both total heat fluxes and evapotranspiration partition. Concerning plant transpiration in particular, the coupled approach ISBA\u2013MEB provides better results than ISBA-1P and, to a lesser extent, ISBA-2P with RMSEs of\u00a01.60, 0.90, and 0.70\u2009mm\u2009d\u22121 and R2\u00a0of\u00a00.43, 0.69, and\u00a00.70\u00a0for ISBA-1P, ISBA-2P and ISBA\u2013MEB, respectively. In addition, it is shown that the acceptable predictions of composite convective fluxes by ISBA-2P for the olive orchard are obtained for the wrong reasons as neither of the two patches is in agreement with the observations because of a bad spatial distribution of the roots and a lack of incoming radiation screening for the bare soil patch. This work shows that composite convection fluxes predicted by the SURFace EXternalis\u00e9e (SURFEX) platform and the partition of evapotranspiration in a highly transient regime due to irrigation is improved for moderately open tree canopies by the new coupled dual-source ISBA\u2013MEB model. It also points out the need for further local-scale evaluations on different crops of various geometry (more open rainfed agriculture or a denser, intensive olive orchard) to provide adequate parameterisation to global database, such as ECOCLIMAP-II, in the view of a global application of the ISBA\u2013MEB model.</p></article>", "keywords": ["Technology", "Atmospheric Science", "Atmospheric sciences", "550", "[SDV]Life Sciences [q-bio]", "0207 environmental engineering", "02 engineering and technology", "Energy balance", "Eddy covariance", "Environmental technology. Sanitary engineering", "01 natural sciences", "Environmental science", "G", "Meteorology", "Geography. Anthropology. Recreation", "GE1-350", "Biology", "TD1-1066", "Ecosystem", "0105 earth and related environmental sciences", "Soil science", "2. Zero hunger", "Global and Planetary Change", "Evapotranspiration", "Ecology", "Global Forest Drought Response and Climate Change", "T", "Causes and Impacts of Climate Change Over Millennia", "Physics", "Hydrology (agriculture)", "Geology", "FOS: Earth and related environmental sciences", "15. Life on land", "Agronomy", "[SDV] Life Sciences [q-bio]", "Environmental sciences", "Earth and Planetary Sciences", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Global Drought Monitoring and Assessment", "Leaf area index", "Thermodynamics", "Global Vegetation Models"]}, "links": [{"href": "https://doi.org/10.60692/khb9k-9s285"}, {"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/khb9k-9s285", "name": "item", "description": "10.60692/khb9k-9s285", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.60692/khb9k-9s285"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-10-15T00:00:00Z"}}, {"id": "10459.1/60556", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:27Z", "type": "Journal Article", "created": "2017-11-10", "title": "Disaggregation of SMOS Soil Moisture to 100 m Resolution Using MODIS Optical/Thermal and Sentinel-1 Radar Data: Evaluation over a Bare Soil Site in Morocco", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The 40 km resolution SMOS (Soil Moisture and Ocean Salinity) soil moisture, previously disaggregated at a 1 km resolution using the DISPATCH (DISaggregation based on Physical And Theoretical scale CHange) method based on MODIS optical/thermal data, is further disaggregated to 100 m resolution using Sentinel-1 backscattering coefficient (\u03c3\u00b0). For this purpose, three distinct radar-based disaggregation methods are tested by linking the spatio-temporal variability of \u03c3\u00b0 and soil moisture data at the 1 km and 100 m resolution. The three methods are: (1) the weight method, which estimates soil moisture at 100 m resolution at a certain time as a function of \u03c3\u00b0 ratio (100 m to 1 km resolution) and the 1 km DISPATCH products of the same time; (2) the regression method which estimates soil moisture as a function of \u03c3\u00b0 where the regression parameters (e.g., intercept and slope) vary in space and time; and (3) the Cumulative Distribution Function (CDF) method, which estimates 100 m resolution soil moisture from the cumulative probability of 100 m resolution backscatter and the maximum to minimum 1 km resolution (DISPATCH) soil moisture difference. In each case, disaggregation results are evaluated against in situ measurements collected between 1 January 2016 and 11 October 2016 over a bare soil site in central Morocco. The determination coefficient (R2) between 1 km resolution DISPATCH and localized in situ soil moisture is 0.31. The regression and CDF methods have marginal effect on improving the DISPATCH accuracy at the station scale with a R2 between remotely sensed and in situ soil moisture of 0.29 and 0.34, respectively. By contrast, the weight method significantly improves the correlation between remotely sensed and in situ soil moisture with a R2 of 0.52. Likewise, the soil moisture estimates show low root mean square difference with in situ measurements (RMSD= 0.032 m3 m\u22123).</p></article>", "keywords": ["soil moisture and ocean salinity satellite (SMOS)", "Atmospheric Science", "Artificial intelligence", "Environmental Engineering", "550", "Science", "Soil Moisture", "0211 other engineering and technologies", "Aerospace Engineering", "FOS: Mechanical engineering", "02 engineering and technology", "01 natural sciences", "Environmental science", "[SDU] Sciences of the Universe [physics]", "Engineering", "Meteorology", "DISPATCH", "Image resolution", "Arctic Permafrost Dynamics and Climate Change", "14. Life underwater", "Moisture", "0105 earth and related environmental sciences", "Soil science", "Water content", "Radar", "Geography", "soil moisture and ocean salinity satellite (SMOS); DISPATCH; radar; Sentinel-1; disaggregation; soil moisture", "Soilmoisture and ocean salinity satellite (SMOS)", "Synthetic Aperture Radar Interferometry", "Q", "FOS: Environmental engineering", "Geology", "FOS: Earth and related environmental sciences", "Remote sensing", "Remote Sensing of Soil Moisture", "Surface Deformation Monitoring", "Computer science", "Earth and Planetary Sciences", "Groundwater Extraction", "Geotechnical engineering", "[SDU]Sciences of the Universe [physics]", "disaggregation", "Environmental Science", "Physical Sciences", "Sentinel-1", "soil moisture", "radar"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/9/11/1155/pdf"}, {"href": "https://doi.org/10459.1/60556"}, {"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": "10459.1/60556", "name": "item", "description": "10459.1/60556", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10459.1/60556"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-11-10T00:00:00Z"}}, {"id": "11250/3082084", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:35Z", "type": "Journal Article", "created": "2023-05-08", "title": "Soil organic carbon models need independent time-series validation for reliable prediction", "description": "Abstract<p>Numerical models are crucial to understand and/or predict past and future soil organic carbon dynamics. For those models aiming at prediction, validation is a critical step to gain confidence in projections. With a comprehensive review of ~250 models, we assess how models are validated depending on their objectives and features, discuss how validation of predictive models can be improved. We find a critical lack of independent validation using observed time series. Conducting such validations should be a priority to improve the model reliability. Approximately 60% of the models we analysed are not designed for predictions, but rather for conceptual understanding of soil processes. These models provide important insights by identifying key processes and alternative formalisms that can be relevant for predictive models. We argue that combining independent validation based on observed time series and improved information flow between predictive and conceptual models will increase reliability in predictions.</p", "keywords": ["P33 - Chimie et physique du sol", "[SDE] Environmental Sciences", "P40 - M\u00e9t\u00e9orologie et climatologie", "analyse de s\u00e9ries chronologiques", "01 natural sciences", "2300 General Environmental Science", "http://aims.fao.org/aos/agrovoc/c_3041", "carbone organique du sol", "http://aims.fao.org/aos/agrovoc/c_389fe908", "GE1-350", "910 Geography & travel", "mod\u00e9lisation", "0105 earth and related environmental sciences", "QE1-996.5", "http://aims.fao.org/aos/agrovoc/c_230ab86c", "U10 - Informatique", " math\u00e9matiques et statistiques", "1900 General Earth and Planetary Sciences", "Geology", "04 agricultural and veterinary sciences", "15. Life on land", "technique de pr\u00e9vision", "http://aims.fao.org/aos/agrovoc/c_28778", "Environmental sciences", "10122 Institute of Geography", "[SDE]Environmental Sciences", "0401 agriculture", " forestry", " and fisheries", "U30 - M\u00e9thodes de recherche"]}, "links": [{"href": "https://www.nature.com/articles/s43247-023-00830-5.pdf"}, {"href": "https://doi.org/11250/3082084"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Communications%20Earth%20%26amp%3B%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11250/3082084", "name": "item", "description": "11250/3082084", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11250/3082084"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-05-08T00:00:00Z"}}, {"id": "11369/369495", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:36Z", "type": "Journal Article", "created": "2018-06-02", "title": "Advances in the determination of humification degree in peat since  : Applications in geochemical and paleoenvironmental studies", "description": "Peer reviewed", "keywords": ["2. Zero hunger", "Decomposition", "Organic matter decay", "13. Climate action", "Bog", "Bogs; C cycle; Decomposition; H/C; Organic matter decay; Earth and Planetary Sciences (all)", "H/C", "C cycle; Decomposition; Organic matter decay; Bogs", " H/C", "C cycle", "15. Life on land", "Earth and Planetary Sciences (all)", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://cris.unibo.it/bitstream/11585/690169/5/POSTPRINT%20690169.pdf"}, {"href": "https://doi.org/11369/369495"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Earth-Science%20Reviews", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11369/369495", "name": "item", "description": "11369/369495", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11369/369495"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-10-01T00:00:00Z"}}, {"id": "11585/910145", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:41Z", "type": "Journal Article", "created": "2021-11-09", "title": "The International Soil Moisture Network: serving  Earth system science for over a decade", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. In\u00a02009, the International Soil Moisture Network\u00a0(ISMN) was initiated as a community effort, funded by the European Space Agency, to serve as a centralised data hosting facility for globally available in situ soil moisture measurements (Dorigo et\u00a0al.,\u00a02011b, a). The ISMN brings together in situ soil moisture measurements collected and freely shared by a multitude of organisations, harmonises them in terms of units and sampling rates, applies advanced quality control, and stores them in a database. Users can freely retrieve the data from this database through an online web portal (https://ismn.earth/en/, last access: 28\u00a0October\u00a02021). Meanwhile, the ISMN has evolved into the primary in situ soil moisture reference database worldwide, as evidenced by more than 3000\u00a0active users and over 1000\u00a0scientific publications referencing the data sets provided by the network. As of July\u00a02021, the ISMN now contains the data of 71\u00a0networks and 2842\u00a0stations located all over the globe, with a time period spanning from\u00a01952 to the present. The number of networks and stations covered by the ISMN is still growing, and approximately 70\u2009% of the data sets contained in the database continue to be updated on a regular or irregular basis. The main scope of this paper is to inform readers about the evolution of the ISMN over the past decade, including a description of network and data set updates and quality control procedures. A comprehensive review of the existing literature making use of ISMN data is also provided in order to identify current limitations in functionality and data usage and to shape priorities for the next decade of operations of this unique community-based data repository.</p></article>", "keywords": ["[SDE] Environmental Sciences", "Technology", "Atmospheric Science", "550", "Soil Moisture", "TA Engineering (General). Civil engineering (General)", "02 engineering and technology", "Soil Moisture; ISMN; IMA_CAN1; swc; STEMS", "SMOS BRIGHTNESS TEMPERATURE", "Spatial variability", "Environmental technology. Sanitary engineering", "01 natural sciences", "Agency (philosophy)", "remote sensing", "Antecedent wetness conditions", "Engineering", "Geography. Anthropology. Recreation", "GE1-350", "Geosciences", " Multidisciplinary", "TD1-1066", "Smos brightness temperature", "Heihe river-basin", "T", "Soil Water Retention", "Geology", "Leaf-area index", "004", "FOS: Philosophy", " ethics and religion", "Programming language", "HEIHE RIVER-BASIN", "Earth and Planetary Sciences", "Physical Sciences", "Water Resources", "name=Water Science and Technology", "/dk/atira/pure/subjectarea/asjc/1900/1901", "Medicine", "0406 Physical Geography and Environmental Geoscience", "name=Earth and Planetary Sciences (miscellaneous)", "3709 Physical geography and environmental geoscience", "Mechanics and Transport in Unsaturated Soils", "Environmental Engineering", "SPATIAL VARIABILITY", "IN-SITU MEASUREMENTS", "0207 environmental engineering", "Epistemology", "0905 Civil Engineering", "Environmental science", "G", "Database", "LAND DATA ASSIMILATION", "Soil Moisture; network", "WIRELESS SENSOR NETWORK", "Arctic Permafrost Dynamics and Climate Change", "Scope (computer science)", "Land data assimilation", "Civil and Structural Engineering", "0105 earth and related environmental sciences", "info:eu-repo/classification/ddc/550", "Science & Technology", "3707 Hydrology", "Consecutive dry days", "LEAF-AREA INDEX", "in situ", "FOS: Environmental engineering", "AMSR-E", "15. Life on land", "Remote Sensing of Soil Moisture", "ANTECEDENT WETNESS CONDITIONS", "Globe", "Computer science", "Environmental sciences", "QE Geology", "0907 Environmental Engineering", "Philosophy", "Ophthalmology", "In-situ measurements", "13. Climate action", "ITC-ISI-JOURNAL-ARTICLE", "global scale", "Environmental Science", "G70.212-70.215 Geographic information system", "4013 Geomatic engineering", "soil moisture", "CONSECUTIVE DRY DAYS", "ITC-GOLD", "/dk/atira/pure/subjectarea/asjc/2300/2312", "Wireless sensor network"]}, "links": [{"href": "https://iris.polito.it/bitstream/11583/2998914/1/prod_447100-doc_161016.pdf"}, {"href": "https://iris.polito.it/bitstream/11583/2998914/2/prod_447100-doc_178365.pdf"}, {"href": "https://cris.unibo.it/bitstream/11585/910145/1/Dourigo_etal_2021.pdf"}, {"href": "https://doi.org/11585/910145"}, {"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": "11585/910145", "name": "item", "description": "11585/910145", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11585/910145"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-09T00:00:00Z"}}, {"id": "1912/10214", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:52Z", "type": "Journal Article", "created": "2018-03-12", "title": "Global Carbon Budget 2017", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere \u2013 the global carbon budget \u2013 is important to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe data sets and methodology to quantify the five major components of the global carbon budget and their uncertainties. CO2 emissions from fossil fuels and industry (EFF) are based on energy statistics and cement production data, respectively, while emissions from land-use change (ELUC), mainly deforestation, are based on land-cover change data and bookkeeping models. The global atmospheric CO2 concentration is measured directly and its rate of growth (GATM) is computed from the annual changes in concentration. The ocean CO2 sink (SOCEAN) and terrestrial CO2 sink (SLAND) are estimated with global process models constrained by observations. The resulting carbon budget imbalance (BIM), the difference between the estimated total emissions and the estimated changes in the atmosphere, ocean, and terrestrial biosphere, is a measure of imperfect data and understanding of the contemporary carbon cycle. All uncertainties are reported as \u00b11\u03c3. For the last decade available (2007\u20132016), EFF was 9.4\u202f\u00b1\u202f0.5\u202fGtC\u202fyr\u22121, ELUC 1.3\u202f\u00b1\u202f0.7\u202fGtC\u202fyr\u22121, GATM 4.7\u202f\u00b1\u202f0.1\u202fGtC\u202fyr\u22121, SOCEAN 2.4\u202f\u00b1\u202f0.5\u202fGtC\u202fyr\u22121, and SLAND 3.0\u202f\u00b1\u202f0.8\u202fGtC\u202fyr\u22121, with a budget imbalance BIM of 0.6\u202fGtC\u202fyr\u22121 indicating overestimated emissions and/or underestimated sinks. For year 2016 alone, the growth in EFF was approximately zero and emissions remained at 9.9\u202f\u00b1\u202f0.5\u202fGtC\u202fyr\u22121. Also for 2016, ELUC was 1.3\u202f\u00b1\u202f0.7\u202fGtC\u202fyr\u22121, GATM was 6.1\u202f\u00b1\u202f0.2\u202fGtC\u202fyr\u22121, SOCEAN was 2.6\u202f\u00b1\u202f0.5\u202fGtC\u202fyr\u22121, and SLAND was 2.7\u202f\u00b1\u202f1.0\u202fGtC\u202fyr\u22121, with a small BIM of \u22120.3\u202fGtC. GATM continued to be higher in 2016 compared to the past decade (2007\u20132016), reflecting in part the high fossil emissions and the small SLAND consistent with El Ni\u00f1o conditions. The global atmospheric CO2 concentration reached 402.8\u202f\u00b1\u202f0.1\u202fppm averaged over 2016. For 2017, preliminary data for the first 6\u20139\u00a0months indicate a renewed growth in EFF of +2.0\u202f% (range of 0.8 to 3.0\u202f%) based on national emissions projections for China, USA, and India, and projections of gross domestic product (GDP) corrected for recent changes in the carbon intensity of the economy for the rest of the world. This living data update documents changes in the methods and data sets used in this new global carbon budget compared with previous publications of this data set (Le Qu\u00e9r\u00e9 et al., 2016, 2015b, a, 2014, 2013). All results presented here can be downloaded from https://doi.org/10.18160/GCP-2017 (GCP, 2017).</p></article>", "keywords": ["ENVIRONMENT SIMULATOR JULES", "550", "530 Physics", "[PHYS.PHYS.PHYS-GEO-PH] Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph]", "MIXED-LAYER SCHEME", "INTERNATIONAL-TRADE", "7. Clean energy", "01 natural sciences", "333", "12. Responsible consumption", "FOSSIL-FUEL COMBUSTION", "ANTHROPOGENIC CO2 UPTAKE", "11. Sustainability", "SDG 13 - Climate Action", "Life Science", "GE1-350", "SDG 14 - Life Below Water", "ATMOSPHERIC CO2", "DIOXIDE EMISSIONS", "SDG 15 - Life on Land", "0105 earth and related environmental sciences", "LAND-COVER CHANGE", "QE1-996.5", "info:eu-repo/classification/ddc/550", "EARTH SYSTEM MODEL", "ddc:550", "VEGETATION MODEL", "Geology", "15. Life on land", "Environmental sciences", "Earth sciences", "13. Climate action", "8. Economic growth", "General Earth and Planetary Sciences"]}, "links": [{"href": "https://ueaeprints.uea.ac.uk/id/eprint/66578/1/Published_manuscript.pdf"}, {"href": "http://oceanrep.geomar.de/42391/1/essd-10-405-2018.pdf"}, {"href": "https://boris.unibe.ch/116576/1/lequere18essd.pdf"}, {"href": "http://pure.iiasa.ac.at/id/eprint/15161/1/essd-10-405-2018.pdf"}, {"href": "https://pure.iiasa.ac.at/id/eprint/15161/1/essd-10-405-2018.pdf"}, {"href": "https://essd.copernicus.org/articles/10/405/2018/essd-10-405-2018.pdf"}, {"href": "https://doi.org/1912/10214"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Earth%20System%20Science%20Data", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1912/10214", "name": "item", "description": "1912/10214", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1912/10214"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-03-12T00:00:00Z"}}, {"id": "20.500.11850/524138", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:25:01Z", "type": "Journal Article", "created": "2022-01-09", "title": "Lessons learned from a long\u2010term irrigation experiment in a dry Scots pine forest: Impacts on traits and functioning", "description": "Abstract<p>Climate change exposes ecosystems to strong and rapid changes in their environmental boundary conditions mainly due to the altered temperature and precipitation patterns. It is still poorly understood how fast interlinked ecosystem processes respond to altered environmental conditions, if these responses occur gradually or suddenly when thresholds are exceeded, and if the patterns of the responses will reach a stable state. We conducted an irrigation experiment in the Pfynwald, Switzerland from 2003\uffe2\uff80\uff932018. A naturally dry Scots pine (Pinus sylvestris L.) forest was irrigated with amounts that doubled natural precipitation, thus releasing the forest stand from water limitation. The aim of this study was to provide a quantitative understanding on how different traits and functions of individual trees and the whole ecosystem responded to increased water availability, and how the patterns and magnitudes of these responses developed over time. We found that the response magnitude, the temporal trajectory of responses, and the length of initial lag period prior to significant response largely varied across traits. We detected rapid and stronger responses from aboveground tree traits (e.g., tree\uffe2\uff80\uff90ring width, needle length, and crown transparency) compared to belowground tree traits (e.g., fine\uffe2\uff80\uff90root biomass). The altered aboveground traits during the initial years of irrigation increased the water demand and trees adjusted by increasing root biomass during the later years of irrigation, resulting in an increased survival rate of Scots pine trees in irrigated plots. The irrigation also stimulated ecosystem\uffe2\uff80\uff90level foliar decomposition rate, fungal fruit body biomass, and regeneration abundances of broadleaved tree species. However, irrigation did not promote the regeneration of Scots pine trees, which are reported to be vulnerable to extreme droughts. Our results provide extensive evidence that tree\uffe2\uff80\uff90 and ecosystem\uffe2\uff80\uff90level responses were pervasive across a number of traits on long\uffe2\uff80\uff90term temporal scales. However, after reaching a peak, the magnitude of these responses either decreased or reached a new stable state, providing important insights into how resource alterations could change the system functioning and its boundary conditions.</p", "keywords": ["Biomass (ecology)", "0106 biological sciences", "Atmospheric Science", "Ecosystem Resilience", "01 natural sciences", "Environmental science", "Biodiversity Conservation and Ecosystem Management", "Ecosystem properties", "Climate change", "functional traits", "Irrigation", "Biology", "Ecosystem", "Nature and Landscape Conservation", "Climate change; Ecosystem properties; Ecosystem resilience; functional traits; long-term irrigation; Scots pine", "Global and Planetary Change", "Tree Line Shifts", "Ecology", "Global Forest Drought Response and Climate Change", "Causes and Impacts of Climate Change Over Millennia", "Botany", "15. Life on land", "Pinus", "Agronomy", "6. Clean water", "Earth and Planetary Sciences", "long-term irrigation", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Scots pine", "Forest ecology", "Ecosystem resilience"]}, "links": [{"href": "https://esajournals.onlinelibrary.wiley.com/doi/pdf/10.1002/ecm.1507"}, {"href": "https://doi.org/20.500.11850/524138"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecological%20Monographs", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.11850/524138", "name": "item", "description": "20.500.11850/524138", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.11850/524138"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-02-11T00:00:00Z"}}, {"id": "20.500.11850/688246", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:25:03Z", "type": "Journal Article", "created": "2024-07-29", "title": "Hydro-pedotransfer functions: a roadmap for future development", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Hydro-pedotransfer functions\u00a0(PTFs) relate easy-to-measure and readily available soil information to soil hydraulic properties\u00a0(SHPs) for applications in a wide range of process-based and empirical models, thereby enabling the assessment of soil hydraulic effects on hydrological, biogeochemical, and ecological processes. At least more than 4 decades of research have been invested to derive such relationships. However, while models, methods, data storage capacity, and computational efficiency have advanced, there are fundamental concerns related to the scope and adequacy of current PTFs, particularly when applied to parameterise models used at the field scale and beyond. Most of the PTF development process has focused on refining and advancing the regression methods, while fundamental aspects have remained largely unconsidered. Most soil systems are not represented in PTFs, which have been built mostly for agricultural soils in temperate climates. Thus, existing PTFs largely ignore how parent material, vegetation, land use, and climate affect processes that shape SHPs. The PTFs used to parameterise the Richards\u2013Richardson equation are mostly limited to predicting parameters of the van\u00a0Genuchten\u2013Mualem soil hydraulic functions, despite sufficient evidence demonstrating their shortcomings. Another fundamental issue relates to the diverging scales of derivation and application, whereby PTFs are derived based on laboratory measurements while often being applied at the field to regional scales. Scaling, modulation, and constraining strategies exist to alleviate some of these shortcomings in the mismatch between scales. These aspects are addressed here in a joint effort by the members of the International Soil Modelling Consortium\u00a0(ISMC) Pedotransfer Functions Working Group with the aim of systematising PTF research and providing a roadmap guiding both PTF development and use. We close with a 10-point catalogue for funders and researchers to guide review processes and research.</p></article>", "keywords": ["Technology", "550", "Bodenanalyse", "Modell", "SPHAGNUM MOSS", "Environmental technology. Sanitary engineering", "630", "Ing\u00e9nierie", " informatique & technologie", "Biogeochemical process", "Earth and Planetary Sciences (miscellaneous)", "Geography. Anthropology. Recreation", "GE1-350", "SATURATED HYDRAULIC CONDUCTIVITY", "Geosciences", " Multidisciplinary", "TD1-1066", "Water Science and Technology", "2. Zero hunger", "T", "Geology", "Hydraulics effects", "Agriculture & agronomy", "Life sciences", "Daten", "Pedo-transfer functions", "6. Clean water", "Soil hydraulics", "REFLECTANCE SPECTROSCOPY", "Roadmap", "Physical Sciences", "Sciences du vivant", "Water Resources", "SOIL-WATER-RETENTION", "0406 Physical Geography and Environmental Geoscience", "3709 Physical geography and environmental geoscience", "Process-based modeling", "Environmental Engineering", "Physique", " chimie", " math\u00e9matiques & sciences de la terre", "PHYSICAL-PROPERTIES", "SENSITIVITY-ANALYSIS", "Soil hydraulic properties", "0905 Civil Engineering", "333", "G", "Physical", " chemical", " mathematical & earth Sciences", "Empirical model", "Agriculture & agronomie", "Life Science", "UNSATURATED CONDUCTIVITY", "SEASONAL-CHANGES", "Pedotransfer functions", "HYSTERETIC MOISTURE PROPERTIES", "info:eu-repo/classification/ddc/550", "Science & Technology", "3707 Hydrology", "Physikochemische Bodeneigenschaft", "500", "15. Life on land", "Engineering", " computing & technology", "Sciences de la terre & g\u00e9ographie physique", "Environmental sciences", "0907 Environmental Engineering", "13. Climate action", "ITC-ISI-JOURNAL-ARTICLE", "Earth sciences & physical geography", "HETEROGENEOUS SOILS", "4013 Geomatic engineering", "ITC-GOLD", "Hydrological process"]}, "links": [{"href": "https://orbi.uliege.be/bitstream/2268/321088/1/hess-28-3391-2024.pdf"}, {"href": "https://hess.copernicus.org/articles/28/3391/2024/hess-28-3391-2024.pdf"}, {"href": "https://doi.org/20.500.11850/688246"}, {"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": "20.500.11850/688246", "name": "item", "description": "20.500.11850/688246", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.11850/688246"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-07-29T00:00:00Z"}}, {"id": "2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/282703", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:25:07Z", "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": "2767588274", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:25:23Z", "type": "Journal Article", "created": "2017-11-10", "title": "Disaggregation of SMOS Soil Moisture to 100 m Resolution Using MODIS Optical/Thermal and Sentinel-1 Radar Data: Evaluation over a Bare Soil Site in Morocco", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The 40 km resolution SMOS (Soil Moisture and Ocean Salinity) soil moisture, previously disaggregated at a 1 km resolution using the DISPATCH (DISaggregation based on Physical And Theoretical scale CHange) method based on MODIS optical/thermal data, is further disaggregated to 100 m resolution using Sentinel-1 backscattering coefficient (\u03c3\u00b0). For this purpose, three distinct radar-based disaggregation methods are tested by linking the spatio-temporal variability of \u03c3\u00b0 and soil moisture data at the 1 km and 100 m resolution. The three methods are: (1) the weight method, which estimates soil moisture at 100 m resolution at a certain time as a function of \u03c3\u00b0 ratio (100 m to 1 km resolution) and the 1 km DISPATCH products of the same time; (2) the regression method which estimates soil moisture as a function of \u03c3\u00b0 where the regression parameters (e.g., intercept and slope) vary in space and time; and (3) the Cumulative Distribution Function (CDF) method, which estimates 100 m resolution soil moisture from the cumulative probability of 100 m resolution backscatter and the maximum to minimum 1 km resolution (DISPATCH) soil moisture difference. In each case, disaggregation results are evaluated against in situ measurements collected between 1 January 2016 and 11 October 2016 over a bare soil site in central Morocco. The determination coefficient (R2) between 1 km resolution DISPATCH and localized in situ soil moisture is 0.31. The regression and CDF methods have marginal effect on improving the DISPATCH accuracy at the station scale with a R2 between remotely sensed and in situ soil moisture of 0.29 and 0.34, respectively. By contrast, the weight method significantly improves the correlation between remotely sensed and in situ soil moisture with a R2 of 0.52. Likewise, the soil moisture estimates show low root mean square difference with in situ measurements (RMSD= 0.032 m3 m\u22123).</p></article>", "keywords": ["soil moisture and ocean salinity satellite (SMOS)", "Atmospheric Science", "Artificial intelligence", "Environmental Engineering", "550", "Science", "Soil Moisture", "0211 other engineering and technologies", "Aerospace Engineering", "FOS: Mechanical engineering", "02 engineering and technology", "01 natural sciences", "Environmental science", "[SDU] Sciences of the Universe [physics]", "Engineering", "Meteorology", "DISPATCH", "Image resolution", "Arctic Permafrost Dynamics and Climate Change", "14. Life underwater", "Moisture", "0105 earth and related environmental sciences", "Soil science", "Water content", "Radar", "Geography", "soil moisture and ocean salinity satellite (SMOS); DISPATCH; radar; Sentinel-1; disaggregation; soil moisture", "Soilmoisture and ocean salinity satellite (SMOS)", "Synthetic Aperture Radar Interferometry", "Q", "FOS: Environmental engineering", "Geology", "FOS: Earth and related environmental sciences", "Remote sensing", "Remote Sensing of Soil Moisture", "Surface Deformation Monitoring", "Computer science", "Earth and Planetary Sciences", "Groundwater Extraction", "Geotechnical engineering", "[SDU]Sciences of the Universe [physics]", "disaggregation", "Environmental Science", "Physical Sciences", "Sentinel-1", "soil moisture", "radar"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/9/11/1155/pdf"}, {"href": "https://doi.org/2767588274"}, {"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": "2767588274", "name": "item", "description": "2767588274", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2767588274"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-11-10T00:00:00Z"}}, {"id": "2980519968", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:25:31Z", "type": "Journal Article", "created": "2020-07-27", "title": "Evapotranspiration partition using the multiple energy balance version of the ISBA-A-gs land surface model over two irrigated crops in a semi-arid Mediterranean region (Marrakech, Morocco)", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. The main objective of this work is to question the representation of the energy budget in soil\u2013vegetation\u2013atmosphere transfer\u00a0(SVAT) models for the prediction of the turbulent fluxes in the case of irrigated crops with a complex structure (row) and under strong transient hydric regimes due to irrigation. To this end, the Interaction between Soil, Biosphere, and Atmosphere\u00a0(ISBA-A-gs) is evaluated at a complex open olive orchard and, for the purposes of comparison, on a winter wheat field taken as an example of a homogeneous canopy. The initial version of ISBA-A-gs, based on a composite energy budget (hereafter ISBA-1P for one\u00a0patch), is compared to the new multiple energy balance\u00a0(MEB) version of ISBA that represents a double source arising from the vegetation located above the soil layer. In addition, a patch representation corresponding to two adjacent, uncoupled source schemes (hereafter ISBA-2P for two\u00a0patches) is also considered for the olive orchard. Continuous observations of evapotranspiration\u00a0(ET), with an eddy covariance system and plant transpiration\u00a0(Tr) with sap flow and isotopic methods were used to evaluate the three representations. A preliminary sensitivity analyses showed a strong sensitivity to the parameters related to turbulence in the canopy introduced in the new ISBA\u2013MEB version. For wheat, the ability of the single- and dual-source configuration to reproduce the composite soil\u2013vegetation heat fluxes was very similar; the root mean square error (RMSE) differences between ISBA-1P, ISBA-2P and ISBA\u2013MEB did not exceed 10\u2009W\u2009m\u22122 for the latent heat flux. These results showed that a composite energy balance in homogeneous covers is sufficient to reproduce the total convective fluxes. The two configurations are also fairly close to the isotopic observations of transpiration in spite of a light underestimation (overestimation) of ISBA-1P\u00a0(ISBA\u2013MEB). At the olive orchard, contrasting results are obtained. The dual-source configurations, including both the uncoupled\u00a0(ISBA-2P) and the coupled\u00a0(ISBA\u2013MEB) representations, outperformed the single-source version\u00a0(ISBA-1P), with slightly better results for ISBA\u2013MEB in predicting both total heat fluxes and evapotranspiration partition. Concerning plant transpiration in particular, the coupled approach ISBA\u2013MEB provides better results than ISBA-1P and, to a lesser extent, ISBA-2P with RMSEs of\u00a01.60, 0.90, and 0.70\u2009mm\u2009d\u22121 and R2\u00a0of\u00a00.43, 0.69, and\u00a00.70\u00a0for ISBA-1P, ISBA-2P and ISBA\u2013MEB, respectively. In addition, it is shown that the acceptable predictions of composite convective fluxes by ISBA-2P for the olive orchard are obtained for the wrong reasons as neither of the two patches is in agreement with the observations because of a bad spatial distribution of the roots and a lack of incoming radiation screening for the bare soil patch. This work shows that composite convection fluxes predicted by the SURFace EXternalis\u00e9e (SURFEX) platform and the partition of evapotranspiration in a highly transient regime due to irrigation is improved for moderately open tree canopies by the new coupled dual-source ISBA\u2013MEB model. It also points out the need for further local-scale evaluations on different crops of various geometry (more open rainfed agriculture or a denser, intensive olive orchard) to provide adequate parameterisation to global database, such as ECOCLIMAP-II, in the view of a global application of the ISBA\u2013MEB model.                     </p></article>", "keywords": ["Technology", "Atmospheric Science", "Atmospheric sciences", "550", "[SDV]Life Sciences [q-bio]", "0207 environmental engineering", "02 engineering and technology", "Energy balance", "Eddy covariance", "Environmental technology. Sanitary engineering", "01 natural sciences", "Environmental science", "G", "Meteorology", "Geography. Anthropology. Recreation", "GE1-350", "Biology", "TD1-1066", "Ecosystem", "0105 earth and related environmental sciences", "Soil science", "2. Zero hunger", "Global and Planetary Change", "Evapotranspiration", "Ecology", "Global Forest Drought Response and Climate Change", "T", "Causes and Impacts of Climate Change Over Millennia", "Physics", "Hydrology (agriculture)", "Geology", "FOS: Earth and related environmental sciences", "15. Life on land", "Agronomy", "[SDV] Life Sciences [q-bio]", "Environmental sciences", "Earth and Planetary Sciences", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Global Drought Monitoring and Assessment", "Leaf area index", "Thermodynamics", "Global Vegetation Models"]}, "links": [{"href": "https://doi.org/2980519968"}, {"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": "2980519968", "name": "item", "description": "2980519968", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2980519968"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-10-15T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Earth+and+Planetary+Sciences&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=Earth+and+Planetary+Sciences&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Earth+and+Planetary+Sciences&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Earth+and+Planetary+Sciences&offset=38", "hreflang": "en-US"}], "numberMatched": 38, "numberReturned": 38, "distributedFeatures": [], "timeStamp": "2026-05-25T06:22:54.049549Z"}