{"type": "FeatureCollection", "features": [{"id": "10.1016/j.catena.2022.106181", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:16:20Z", "type": "Journal Article", "created": "2022-03-04", "title": "Sediment yields variation and response to the controlling factors in the Wei River Basin, China", "description": "Open AccessPeer reviewed", "keywords": ["Controlling factors", "13. Climate action", "0208 environmental biotechnology", "Sediment yield", "0207 environmental engineering", "Correlation analysis", "Spatial and temporal variation", "02 engineering and technology", "15. Life on land", "6. Clean water", "Wei River Basin"]}, "links": [{"href": "https://doi.org/10.1016/j.catena.2022.106181"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/CATENA", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.catena.2022.106181", "name": "item", "description": "10.1016/j.catena.2022.106181", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.catena.2022.106181"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-06-01T00:00:00Z"}}, {"id": "10.1007/s10661-023-11079-y", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:15:17Z", "type": "Journal Article", "created": "2023-03-25", "title": "Evaluating the impacts of sustainable land management practices on water quality in an agricultural catchment in Lower Austria using SWAT", "description": "Abstract <p>Managing agricultural watersheds in an environmentally friendly manner necessitate the strategic implementation of well-targeted sustainable land management (SLM) practices that limit soil and nonpoint source pollution losses and translocation. Watershed-scale SLM-scenario modeling has the potential to identify efficient and effective management strategies from the field to the integrated landscape level. In a case study targeting a 66-hectare watershed in Petzenkirchen, Lower Austria, the Soil and Water Assessment Tool (SWAT) was utilized to evaluate a variety of locally adoptable SLM practices. SWAT was calibrated and validated (monthly) at the catchment outlet for flow, sediment, nitrate-nitrogen (NO3\uffe2\uff80\uff93N), ammonium nitrogen (NH4\uffe2\uff80\uff93N), and mineralized phosphorus (PO4\uffe2\uff80\uff93P) using SWATplusR. Considering the locally existing agricultural practices and socioeconomic and environmental factors of the research area, four conservation practices were evaluated: baseline scenario, contour farming (CF), winter cover crops (CC), and a combination of no-till and cover crops (NT\uffe2\uff80\uff89+\uffe2\uff80\uff89CC). The NT\uffe2\uff80\uff89+\uffe2\uff80\uff89CC SLM practice was found to be the most effective soil conservation practice in reducing soil loss by around 80%, whereas CF obtained the best results for decreasing the nutrient loads of NO3\uffe2\uff80\uff93N and PO4\uffe2\uff80\uff93P by 11% and 35%, respectively. The findings of this study imply that the setup SWAT model can serve the context-specific performance assessment and eventual promotion of SLM interventions that mitigate on-site land degradation and the consequential off-site environmental pollution resulting from agricultural nonpoint sources.</p", "keywords": ["Agricultural and Biological Sciences", "Soil", "Context (archaeology)", "Engineering", "Water Quality", "Soil water", "Water Science and Technology", "Watershed Management", "2. Zero hunger", "Geography", "Ecology", "Life Sciences", "Soil and Water Assessment Tool", "Agriculture", "Hydrology (agriculture)", "6. Clean water", "Soil Erosion and Agricultural Sustainability", "Water resource management", "Hydrological Modeling and Water Resource Management", "Water quality", "Archaeology", "Austria", "Physical Sciences", "SWAT model", "Environmental Monitoring", "Cartography", "Conservation of Natural Resources", "Biogeochemical Cycling of Nutrients in Aquatic Ecosystems", "Drainage basin", "Nitrogen", "Soil Science", "Streamflow", "Article", "Environmental science", "Soil quality", "Machine learning", "Environmental Chemistry", "Civil engineering", "Biology", "Nonpoint source pollution", "Soil science", "15. Life on land", "Watershed Simulation", "Watershed management", "Watershed", "Computer science", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Land use", "FOS: Civil engineering"]}, "links": [{"href": "https://doi.org/10.1007/s10661-023-11079-y"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Monitoring%20and%20Assessment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10661-023-11079-y", "name": "item", "description": "10.1007/s10661-023-11079-y", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10661-023-11079-y"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-03-25T00:00:00Z"}}, {"id": "10.1007/s10980-016-0447-x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:15:22Z", "type": "Journal Article", "created": "2016-10-04", "title": "Bending The Carbon Curve: Fire Management For Carbon Resilience Under Climate Change", "description": "Forest landscapes are increasingly managed for fire resilience, particularly in the western US which has recently experienced drought and widespread, high-severity wildfires. Fuel reduction treatments have been effective where fires coincide with treated areas. Fuel treatments also have the potential to reduce drought-mortality if tree density is uncharacteristically\u00a0high, and to increase long-term carbon storage by reducing high-severity fire probability. Assess whether fuel treatments reduce fire intensity and spread\u00a0and increase carbon storage under climate change. We used a simulation modeling approach that couples a landscape model of forest disturbance and succession with an ecosystem model of carbon dynamics (Century), to quantify the interacting effects of climate change, fuel treatments and wildfire for carbon storage potential in a mixed-conifer forest in the western USA. Our results suggest that fuel treatments have the potential to \u2018bend the C curve\u2019, maintaining carbon resilience despite climate change and climate-related changes to the fire regime. Simulated fuel treatments resulted in reduced fire spread and severity. There was partial compensation of C lost during fuel treatments with increased growth of residual stock due to greater available soil water, as well as a shift in species composition to more drought- and fire-tolerant Pinus jeffreyi at the expense of shade-tolerant, fire-susceptible Abies concolor. Forest resilience to global change can be achieved through management that reduces drought stress and supports the establishment and dominance of tree species that are more fire- and drought-resistant, however, achieving a net C gain from fuel treatments may take decades.", "keywords": ["Carbon sequestration", "0106 biological sciences", "Environmental Indicators and Impact Assessment", "Forest fires -- West (U.S.) -- Prevention and control", "Environmental Studies", "Natural Resources Management and Policy", "Forest fires -- Effect of climate change on", "15. Life on land", "Forest fires -- Simulation modelling", "01 natural sciences", "6. Clean water", "Wildfires -- Lake Tahoe Basin", "13. Climate action", "Forest management -- Environmental aspects", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1007/s10980-016-0447-x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Landscape%20Ecology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10980-016-0447-x", "name": "item", "description": "10.1007/s10980-016-0447-x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10980-016-0447-x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-10-04T00:00:00Z"}}, {"id": "10.1007/s11368-022-03203-1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:15:40Z", "type": "Journal Article", "created": "2022-04-23", "title": "Improving the design and implementation of sediment fingerprinting studies: summary and outcomes of the TRACING 2021 Scientific School", "description": "Identifying best practices for sediment fingerprinting or tracing is important to allow the quantification of sediment contributions from catchment sources. Although sediment fingerprinting has been applied with reasonable success, the deployment of this method remains associated with many issues and limitations.Seminars and debates were organised during a 4-day Thematic School in October 2021 to come up with concrete suggestions to improve the design and implementation of tracing methods.First, we suggest a better use of geomorphological information to improve study design. Researchers are invited to scrutinise all the knowledge available on the catchment of interest, and to obtain multiple lines of evidence regarding sediment source contributions. Second, we think that scientific knowledge could be improved with local knowledge and we propose a scale of participation describing different levels of involvement of locals in research. Third, we recommend the use of state-of-the-art sediment tracing protocols to conduct sampling, deal with particle size, and examine data before modelling and accounting for the hydro-meteorological context under investigation. Fourth, we promote best practices in modelling, including the importance of running multiple models, selecting appropriate tracers, and reporting on model errors and uncertainty. Fifth, we suggest best practices to share tracing data and samples, which will increase the visibility of the fingerprinting technique in geoscience. Sixth, we suggest that a better formulation of hypotheses could improve our knowledge about erosion and sediment transport processes in a more unified way.With the suggested improvements, sediment fingerprinting, which is interdisciplinary in nature, could play a major role to meet the current and future challenges associated with global change.The online version contains supplementary material available at 10.1007/s11368-022-03203-1.", "keywords": ["[SDE] Environmental Sciences", "DATA", "550", "[SDU.STU.GM] Sciences of the Universe [physics]/Earth Sciences/Geomorphology", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "01 natural sciences", "333", "source-to-sink", "basin", "local knowledge", "[SDU.STU.GC]Sciences of the Universe [physics]/Earth Sciences/Geochemistry", "[SDU.STU.GC] Sciences of the Universe [physics]/Earth Sciences/Geochemistry", "11. Sustainability", "[SDU.STU.GM]Sciences of the Universe [physics]/Earth Sciences/Geomorphology", "14. Life underwater", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "catchment", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "watershed", "FAIR", "0105 earth and related environmental sciences", "sediment tracing", "ddc:550", "Frontiers in Soils and Sediments \u2022 Research Article", "15. Life on land", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "sediment fingerprinting", "Chemistry", "critical Zone", "13. Climate action", "Earth and Environmental Sciences", "[SDE]Environmental Sciences", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment"]}, "links": [{"href": "https://link.springer.com/content/pdf/10.1007/s11368-022-03203-1.pdf"}, {"href": "https://doi.org/10.1007/s11368-022-03203-1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Soils%20and%20Sediments", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11368-022-03203-1", "name": "item", "description": "10.1007/s11368-022-03203-1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11368-022-03203-1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-23T00:00:00Z"}}, {"id": "10.1016/j.catena.2013.08.002", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:16:18Z", "type": "Journal Article", "created": "2013-09-06", "title": "Wildfire Effects On Nutrients And Organic Carbon Of A Rendzic Phaeozem In Ne Spain: Changes At Cm-Scale Topsoil", "description": "Open AccessThe Aragon Government\u2014La Caixa (FUEGOSOL Project: GA-LC-055/2011), the Spanish Government (CETSUS Project: CGL2007-66644-C04-04/HIDCLI and GEOFIRE Project: CGL2012-38655), and the University of Zaragoza provided financial support for this research.", "keywords": ["2. Zero hunger", "Soil organic matter", "Soil depth affected", "13. Climate action", "Semiarid Ebro Basin", "Temporal sampling", "11. Sustainability", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "Ashes", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.catena.2013.08.002"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/CATENA", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.catena.2013.08.002", "name": "item", "description": "10.1016/j.catena.2013.08.002", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.catena.2013.08.002"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-02-01T00:00:00Z"}}, {"id": "10.1016/j.envint.2019.03.060", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:16:34Z", "type": "Journal Article", "created": "2019-04-05", "title": "Characterization of wastewater effluents in the Danube River Basin with chemical screening, in vitro bioassays and antibiotic resistant genes analysis", "description": "Averaged 7-day composite effluent wastewater samples from twelve wastewater treatment plants (WWTPs) in nine countries (Romania, Serbia, Hungary, Slovenia, Croatia, Slovakia, Czechia, Austria, Germany) in the Danube River Basin were collected. WWTPs' selection was based on countries' dominant technology and a number of served population with the aim to get a representative holistic view of the pollution status. Samples were analyzed for 2248 chemicals of emerging concern (CECs) by wide-scope target screening employing LC-ESI-QTOF-MS. 280 compounds were detected at least in one sample and quantified. Spatial differences in the concentrations and distribution of the compounds classes were discussed. Additionally, samples were analyzed for the possible agonistic/antagonistic potencies using a panel of in vitro transactivation reporter gene CALUX\u00ae bioassays including ER\u03b1 (estrogenics), anti-AR (anti-androgens), GR (glucocorticoids), anti-PR (anti-progestins), PPAR\u03b1 and PPAR\u03b3 (peroxisome proliferators) and PAH assays. The potency of the wastewater samples to cause oxidative stress and induce xenobiotic metabolism was determined using the Nrf2 and PXR CALUX\u00ae bioassays, respectively. The signals from each of the bioassays were compared with the recently developed effect-based trigger values (EBTs) and thus allowed for allocating the wastewater effluents into four categories based on their measured toxicity, proposing a putative action plan for wastewater operators. Moreover, samples were analyzed for antibiotics and 13 antibiotic-resistant genes (ARGs) and one mobile genetic element (intl1) with the aim to assess the potential for antibiotic resistance. All data collected from these various types of analysis were stored in an on-line database and can be viewed via interactive map at https://norman-data.eu/EWW_DANUBE.", "keywords": ["0211 other engineering and technologies", "500", "Drug Resistance", " Microbial", "02 engineering and technology", "Wide-scope target screening", "Wastewater", "01 natural sciences", "Bioassays", "6. Clean water", "Anti-Bacterial Agents", "Environmental sciences", "Rivers", "13. Climate action", "Emerging substances", "Antibiotic resistant genes", "Effluent wastewater", "GE1-350", "Biological Assay", "Danube River Basin", "Emerging substances Wide-scope target screening Effluent wastewater Bioassays Antibiotic resistant genes Danube River Basin", "Water Pollutants", " Chemical", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.envint.2019.03.060"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environment%20International", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.envint.2019.03.060", "name": "item", "description": "10.1016/j.envint.2019.03.060", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.envint.2019.03.060"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-06-01T00:00:00Z"}}, {"id": "10.1016/j.foreco.2014.03.011", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:16:49Z", "type": "Journal Article", "created": "2014-03-31", "title": "Effectiveness Of Fuel Treatments For Mitigating Wildfire Risk And Sequestering Forest Carbon: A Case Study In The Lake Tahoe Basin", "description": "Fuel-reduction treatments are used extensively to reduce wildfire risk and restore forest diversity and function. In the near future, increasing regulation of carbon (C) emissions may force forest managers to balance the use of fuel treatments for reducing wildfire risk against an alternative goal of C sequestration. The objective of this study was to evaluate how long-term fuel treatments mitigate wildfires and affect forest C. For the Lake Tahoe Basin in the central Sierra Nevada, USA, fuel treatment efficiency was explored with a landscape-scale simulation model, LANDIS-II, using five fuel treatment scenarios and two (contemporary and potential future) fire regimes. Treatment scenarios included applying a combination of light (hand) and moderate (mechanical) forest thinning continuously through time and transitioning from these prescriptions to a more mid-seral thinning prescription, both on a 15 and 30 year rotation interval. In the last scenario, fuel treatments were isolated to around the lake shore (nearby urban settlement) to simulate a low investment alternative were future resources may be limited. Results indicated that the forest will remain a C sink regardless of treatment or fire regime simulated, due to the landscape legacy of historic logging. Achievement of a net C gain required decades with intensive treatment and depended on wildfire activity: Fuel treatments were more effective in a more active fire environment, where the interface between wildfires and treatment areas increased and caused net C gain earlier than as compared to our scenarios with less wildfire activity. Fuel treatments were most effective when continuously applied and strategically placed in high ignition areas. Treatment type and re-application interval were less influential at the landscape scale, but had notable effects on species dynamics within management units. Treatments created more diverse forest conditions by shifting dominance patterns to a more mixed conifer system, with a higher proportion of fire-tolerant species. We demonstrated that a small amount of wildfire on the landscape resulted in significant changes in the C pool, and that strategically placed fuel treatments substantially reduced wildfire risk, increased fire resiliency of the forest, and is beneficial for long-term C management. Implications for landscape management included consideration for prioritization of treatment areas and creating ideal re-entry schedules that meet logistic, safety, and conservation goals. In forests with a concentrated wildland urban interface, fuel treatments may be vital for ensuring human welfare and enhancing forest integrity in a fire-prone future. Published by Elsevier B.V.", "keywords": ["0106 biological sciences", "Environmental Indicators and Impact Assessment", "Firescaping", "Wildfire risk", "13. Climate action", "11. Sustainability", "Natural Resources Management and Policy", "Carbon sequestration -- California -- Case studies", "Prescribed burning", "Forest management -- California -- Lake Tahoe basin", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.foreco.2014.03.011"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Forest%20Ecology%20and%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.foreco.2014.03.011", "name": "item", "description": "10.1016/j.foreco.2014.03.011", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.foreco.2014.03.011"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-07-01T00:00:00Z"}}, {"id": "10.1088/1748-9326/abe25c", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:18:58Z", "type": "Journal Article", "created": "2021-02-03", "title": "Dominant contribution of nitrogen compounds in precipitation chemistry in the Lake Victoria catchment (East Africa)", "description": "Abstract                <p>This work provides a complete chemical characterization of rains collected in the tropical rural site of Mbita (Kenya) on the shores of Lake Victoria (annual rainfall 1259.3 mm). We present a wet nitrogen deposition budget including inorganic and organic dissolved nitrogen in relation with atmospheric sources of gases and particles, precipitation rate and air mass transport. A unique 2 yr monitoring data set (2017\uffe2\uff80\uff932019), providing 183 rain samples was collected and analyzed according to international standards (WMO/GAW). Considering that precipitation represents the largest contributor of water to the Lake Victoria (80%), this study gives new insights in the seasonality of nutrients wet deposition (WD) inputs in the unique natural resource represented by Lake Victoria and its catchment. Four main contributions to the chemical composition of precipitation, were identified: (a) a 28% terrigenous contribution related to crustal and biomass sources, (b) a 14% marine contribution related to Indian ocean air masses intrusion, (c) a 15% organic contribution due to volatile organic carbon emissions from biomass burning and vegetation and (d) a predominant nitrogenous contribution of 39% due to livestock and fertilizers, biomass burning and neighboring agricultural fires. Ammonium and nitrate volume weighed mean concentrations are 36.75 and 8.88 \uffce\uffbceq l\uffe2\uff88\uff921, respectively. Rain in Mbita is alkaline (pH = 5.8) highlighting neutralization by heterogeneous chemistry. Total nitrogen WD is 8.54 kgN ha\uffe2\uff88\uff921 yr\uffe2\uff88\uff921, 58\uffe2\uff80\uff89760 tN yr\uffe2\uff88\uff921 for the entire lake, with 26% attributed to dissolved organic nitrogen. A total atmospheric deposition of 15 kgN ha\uffe2\uff88\uff921 yr\uffe2\uff88\uff921 is estimated taking into account dry deposition estimate from literature, showing that the Lake Victoria ecosystem is exposed to eutrophication. An extensive and regular monitoring of wet and dry nitrogen deposition is highly recommended both in-shore and off-shore to help improving the efficiency of nitrogen use in agricultural areas and reduce nitrogen losses around Lake Victoria.</p>", "keywords": ["[SDE] Environmental Sciences", "Science", "Physics", "QC1-999", "Q", "15. Life on land", "Kenya", "Environmental technology. Sanitary engineering", "01 natural sciences", "6. Clean water", "Environmental sciences", "nitrogen wet deposition budget", "precipitation chemistry", "13. Climate action", "[SDU.STU.GC] Sciences of the Universe [physics]/Earth Sciences/Geochemistry", "wet deposition", "GE1-350", "14. Life underwater", "TD1-1066", "Lake Victoria basin", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1088/1748-9326/abe25c"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Research%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1088/1748-9326/abe25c", "name": "item", "description": "10.1088/1748-9326/abe25c", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1088/1748-9326/abe25c"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-04-01T00:00:00Z"}}, {"id": "10.3390/rs12040638", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:21:58Z", "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": "10.1111/j.1757-1707.2011.01113.x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:19:47Z", "type": "Journal Article", "created": "2011-07-21", "title": "Identifying Grasslands Suitable For Cellulosic Feedstock Crops In The Greater Platte River Basin: Dynamic Modeling Of Ecosystem Performance With 250 M Emodis", "description": "Abstract<p>This study dynamically monitors ecosystem performance (EP) to identify grasslands potentially suitable for cellulosic feedstock crops (e.g., switchgrass) within the Greater Platte River Basin (GPRB). We computed grassland site potential and EP anomalies using 9\uffe2\uff80\uff90year (2000\uffe2\uff80\uff932008) time series of 250\uffc2\uffa0m expedited moderate resolution imaging spectroradiometer Normalized Difference Vegetation Index data, geophysical and biophysical data, weather and climate data, and EP models. We hypothesize that areas with fairly consistent high grassland productivity (i.e., high grassland site potential) in fair to good range condition (i.e., persistent ecosystem overperformance or normal performance, indicating a lack of severe ecological disturbance) are potentially suitable for cellulosic feedstock crop development. Unproductive (i.e., low grassland site potential) or degraded grasslands (i.e., persistent ecosystem underperformance with poor range condition) are not appropriate for cellulosic feedstock development. Grassland pixels with high or moderate ecosystem site potential and with more than 7\uffc2\uffa0years ecosystem normal performance or overperformance during 2000\uffe2\uff80\uff932008 are identified as possible regions for future cellulosic feedstock crop development (ca. 68\uffc2\uffa0000\uffc2\uffa0km2 within the GPRB, mostly in the eastern areas). Long\uffe2\uff80\uff90term climate conditions, elevation, soil organic carbon, and yearly seasonal precipitation and temperature are important performance variables to determine the suitable areas in this study. The final map delineating the suitable areas within the GPRB provides a new monitoring and modeling approach that can contribute to decision support tools to help land managers and decision makers make optimal land use decisions regarding cellulosic feedstock crop development and sustainability.</p>", "keywords": ["2. Zero hunger", "satellite remote sensing", "550", "land management", "04 agricultural and veterinary sciences", "15. Life on land", "ecosystem performance models", "cellulosic feedstock crops", "6. Clean water", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Greater Platte River Basin", "cellulosic biofuel", "weather data", "eMODIS NDVI"]}, "links": [{"href": "https://doi.org/10.1111/j.1757-1707.2011.01113.x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/GCB%20Bioenergy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/j.1757-1707.2011.01113.x", "name": "item", "description": "10.1111/j.1757-1707.2011.01113.x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/j.1757-1707.2011.01113.x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-07-21T00:00:00Z"}}, {"id": "10.2166/wcc.2024.064", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:21:18Z", "type": "Journal Article", "created": "2024-09-20", "title": "Model-based analysis of the impact of climate change on hydrology in the Guayas River basin (Ecuador)", "description": "ABSTRACT                <p>Worldwide climate change will most likely lead to drastic changes in hydrology and food production. In this study, the impact of climate change on the hydrological regime and the fate of pesticides in the Guayas River basin is investigated using the Soil and Water Assessment Tool. Four general circulation models and three representative concentration pathways (RCP 4.5, RCP 6.0 and RCP 8.5) for three future periods were used to assess impact of climate change. Future projections showed a maximum increase in the average monthly precipitation of 40% in June, as well as an increase in an average minimum temperature of 3.85\uffc2\uffb0C for July and an average maximum temperature of 4.5\uffc2\uffb0C for August in 2080s. The model simulations based on RCP 8.5 scenario predict an increase in potential evapotranspiration by 11%, surface runoff of 39% and water yield of 33% in 2080s. The pesticide simulation showed the highest water concentrations during the wet season. Projections of trends in pesticide concentration indicate a similar trend to the current situation given the application rate remains the same. The results can be beneficial for the management and planning of the basin to mitigate flood and water quality-related impacts of food production and climate change.</p", "keywords": ["SOIL", "CALIBRATION", "climate change", "water balance", "WATER-QUALITY", "Earth and Environmental Sciences", "PRECIPITATION", "Soil and Water Assessment Tool (SWAT)", "Guayas River basin", "pesticides", "general circulation models (GCMs)", "VALIDATION"]}, "links": [{"href": "https://doi.org/10.2166/wcc.2024.064"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Water%20and%20Climate%20Change", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2166/wcc.2024.064", "name": "item", "description": "10.2166/wcc.2024.064", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2166/wcc.2024.064"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-09-20T00:00:00Z"}}, {"id": "10.3389/fpls.2022.903661", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:21:41Z", "type": "Journal Article", "created": "2022-06-10", "title": "Diversity and Agronomic Performance of Lupinus mutabilis Germplasm in European and Andean Environments", "description": "<p>The introduction of Lupinus mutabilis (Andean lupin) in Europe will provide a new source of protein and oil for plant-based diets and biomass for bio-based products, while contributing to the improvement of marginal soils. This study evaluates for the first time the phenotypic variability of a large panel of L. mutabilis accessions both in their native environment and over two cropping conditions in Europe (winter crop in the Mediterranean region and summer crop in North-Central Europe), paving the way for the selection of accessions adapted to specific environments. The panel of 225 accessions included both germplasm pools from the Andean region and breeding lines from Europe. Notably, we reported higher grain yield in Mediterranean winter-cropping conditions (18 g/plant) than in the native region (9 g/plant). Instead, North European summer-cropping conditions appear more suitable for biomass production (up to 2 kg/plant). The phenotypic evaluation of 16 agronomical traits revealed significant variation in the panel. Principal component analyses pointed out flowering time, yield, and architecture-related traits as the main factors explaining variation between accessions. The Peruvian material stands out among the top-yielding accessions in Europe, characterized by early lines with high grain yield (e.g., LIB065, LIB072, and LIB155). Bolivian and Ecuadorian materials appear more valuable for the selection of genotypes for Andean conditions and for biomass production in Europe. We also observed that flowering time in the different environments is influenced by temperature accumulation. Within the panel, it is possible to identify both early and late genotypes, characterized by different thermal thresholds (600\uffc2\uffb0C\uffe2\uff80\uff93700\uffc2\uffb0C and 1,000\uffe2\uff80\uff931,200\uffc2\uffb0C GDD, respectively). Indications on top-yielding and early/late accessions, heritability of morpho-physiological traits, and their associations with grain yield are reported and remain largely environmental specific, underlining the importance of selecting useful genetic resources for specific environments. Altogether, these results suggest that the studied panel holds the genetic potential for the adaptation of L. mutabilis to Europe and provide the basis for initiating a breeding program based on exploiting the variation described herein.</p", "keywords": ["Biomass (ecology)", "0301 basic medicine", "Lupin Seeds", "Cropping", "germplasm characterization", "Plant Science", "Crop", "Plant breeding", "SB1-1110", "Evolution and Nutritional Properties of Lupin Seeds", "Agricultural and Biological Sciences", "03 medical and health sciences", "Germplasm", "Biology", "Ecology", " Evolution", " Behavior and Systematics", "2. Zero hunger", "0303 health sciences", "biomass", "Ecology", "grain yield", "Plant culture", "Life Sciences", "Genomics and Breeding of Legume Crops", "Agriculture", "15. Life on land", "Agronomy", "Lupinus", "vegetative development", "Evolution and Ecology of Endophyte-Grass Symbiosis", "Andean lupin", "breeding", "FOS: Biological sciences", "Mediterranean Basin", "Mediterranean climate", "phenotypic diversity"]}, "links": [{"href": "https://doi.org/10.3389/fpls.2022.903661"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Plant%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fpls.2022.903661", "name": "item", "description": "10.3389/fpls.2022.903661", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fpls.2022.903661"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-06-10T00:00:00Z"}}, {"id": "10.3390/agronomy10040506", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:21:43Z", "type": "Journal Article", "created": "2020-04-02", "title": "Barriers and Facilitators for Adopting Sustainable Soil Management Practices in Mediterranean Olive Groves", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Soil is a fundamental resource, subject to severe and quick degradation processes because of the pressure of human activities, particularly in many regions of the Mediterranean where agriculture is an important economic activity. It has been proven that the use of sustainable soil management practices can potentially give rise to the creation of a carbon sink, an increase of soil organic matter content, the maintenance of crop productivity and a reduction in erosion. Despite the existence of scientific evidence about the benefits generated by the use of sustainable practices on soil, many farmers are reluctant to adopt them. The objective of this study is to identify and give a hierarchical structure to the factors that condition the adoption of sustainable practices in the management of agricultural soil. The case of olive tree cultivation in Southeast Spain has been studied, using a participatory qualitative methodology. The results show a series of seven principal barriers (information, costs, risk aversion, characteristics of the farm and sustainable practices, macro factors, and cultural barriers) and five facilitators (technology, farmer training, awareness, incentives, and social pressure) for the adoption of the proposed sustainable agricultural practices. The principal political and legislative actions proposed to increase the adoption of sustainable agricultural practices include: administrative control, fostering environmental awareness, technical knowledge, and on-farm demonstrations; and, on the economic and financial level, incorporation of both general incentives and subsidizing specific costs. This study contributes to the development and discussion of intervention proposals that are designed to stimulate the implementation of sustainable practices in agricultural soil management.</p></article>", "keywords": ["2. Zero hunger", "impact assessment", "S", "Mediterranean basin", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "sustainability", "Delphi", "01 natural sciences", "12. Responsible consumption", "agricultural development", "13. Climate action", "11. Sustainability", "0401 agriculture", " forestry", " and fisheries", "participatory qualitative methodology", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2073-4395/10/4/506/pdf"}, {"href": "https://www.mdpi.com/2073-4395/10/4/506/pdf"}, {"href": "https://doi.org/10.3390/agronomy10040506"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/agronomy10040506", "name": "item", "description": "10.3390/agronomy10040506", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/agronomy10040506"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-04-02T00:00:00Z"}}, {"id": "10.3390/w13141893", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:22:05Z", "type": "Journal Article", "created": "2021-07-08", "title": "Diffuse Water Pollution from Agriculture: A Review of Nature-Based Solutions for Nitrogen Removal and Recovery", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The implementation of nature-based solutions (NBSs) can be a suitable and sustainable approach to coping with environmental issues related to diffuse water pollution from agriculture. NBSs exploit natural mitigation processes that can promote the removal of different contaminants from agricultural wastewater, and they can also enable the recovery of otherwise lost resources (i.e., nutrients). Among these, nitrogen impacts different ecosystems, resulting in serious environmental and human health issues. Recent research activities have investigated the capability of NBS to remove nitrogen from polluted water. However, the regulating mechanisms for nitrogen removal can be complex, since a wide range of decontamination pathways, such as plant uptake, microbial degradation, substrate adsorption and filtration, precipitation, sedimentation, and volatilization, can be involved. Investigating these processes is beneficial for the enhancement of the performance of NBSs. The present study provides a comprehensive review of factors that can influence nitrogen removal in different types of NBSs, and the possible strategies for nitrogen recovery that have been reported in the literature.</p></article>", "keywords": ["2. Zero hunger", "13. Climate action", "15. Life on land", "nitrogen; constructed wetlands; buffer strips; vegetated channels; water sediment control basins; water pollution", "01 natural sciences", "6. Clean water", "3. Good health", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://cris.unibo.it/bitstream/11585/828003/1/2021_Diffuse%20Water%20Pollution%20from%20Agriculture.pdf"}, {"href": "https://www.mdpi.com/2073-4441/13/14/1893/pdf"}, {"href": "https://doi.org/10.3390/w13141893"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/w13141893", "name": "item", "description": "10.3390/w13141893", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/w13141893"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-07-08T00:00:00Z"}}, {"id": "10.3390/w13182569", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:22:05Z", "type": "Journal Article", "created": "2021-09-22", "title": "Integrated Water Quality Management Model for the Rural Transboundary River Basin\u2014A Case Study of the Sutla/Sotla River", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The intensive use of soil and water resources results in a disbalance between the environmental and economic objectives of the river basin. The water quality management model supports good water status, especially downstream of dams and reservoirs, as in the case of the Sutla/Sotla river basin. This research aims to develop a new, improved integrated water quality management model of rural transboundary basins to achieve environmental objectives and protection of the Natura 2000 sites. The model uses river basin pressure analysis to assess the effects of climate and hydrological extreme impacts, and a programme of basic and supplementary measures. The impact assessment of BASE MODEL, PAST, and FUTURE scenarios was modelled using the soil and water assessment tool (SWAT) based on land use, climate and hydrological data, climate change, presence or lack of a reservoir, and municipal wastewater and agriculture measures. Eight future climate change scenarios were obtained with optimistic (RCP4.5) and pessimistic (RCP8.5) forecasts for two periods (2020\u20132050 and 2070\u20132100), both with and without a reservoir. The model shows that the most significant impacts on the waterbody come from the nutrients and sediment hotspots, also shows the risk of not achieving good water status, and water eutrophication risk. The modelled average annual increase in sediment is from 4 to 25% and in total N from 1 to 8%, while the change in total P is from \u22125 to 6%. The conducted analysis provides a base for the selection of tailor-made measures from the catalogue of the supplementary measures that will be outlined in future research.</p></article>", "keywords": ["environmental objectives WFD", "integrated water quality management model", "environmental objectives WFD ; integrated water quality management model ; good water status ; rural transboundary river basin ; Sutla/Sotla ; climate change ; scenarios ; SWAT ; measures", "rural transboundary river basin", "01 natural sciences", "11. Sustainability", "hidrologija", "SWAT", "14. Life underwater", "kakovost voda", "0105 earth and related environmental sciences", "vodotoki", "2. Zero hunger", "scenarios", "measures", "environmental objectives WFD; integrated water quality management model; good water status; rural transboundary river basin; Sutla/Sotla; climate change; scenarios; SWAT; measures", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water", "Sotla", "climate change", "info:eu-repo/classification/udc/556", "13. Climate action", "vodni mened\u017ement", "Sutla/Sotla", "0401 agriculture", " forestry", " and fisheries", "SWAT model", "good water status"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/13/18/2569/pdf"}, {"href": "https://www.mdpi.com/2073-4441/13/18/2569/pdf"}, {"href": "https://doi.org/10.3390/w13182569"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/w13182569", "name": "item", "description": "10.3390/w13182569", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/w13182569"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-09-17T00:00:00Z"}}, {"id": "10.3390/w10040406", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:22:04Z", "type": "Journal Article", "created": "2018-03-30", "title": "A Simplified Nitrogen Assessment in Tagus River Basin: A Management Focused Review", "description": "<p>Interactions among nitrogen (N) management and water resources quality are complex and enhanced in transboundary river basins. This is the case of Tagus River, which is an important river flowing from Spain to Portugal in the Iberian Peninsula. The aim was to provide a N assessment review along the Tagus River Basin regarding mostly agriculture, livestock, and urban activities. To estimate reactive nitrogen (Nr) load into surface waters, emission factor approaches were applied. Nr pressures are much higher in Spain than in Portugal (~13 times), which is mostly because of livestock intensification. Some policy and technical measures have been defined aiming at solving this problem. Main policy responses were the designation of Nitrate Vulnerable and Sensitive Zones, according to European Union (EU) directives. Nitrate Vulnerable Zone comprise approximately one third of both territories. On the contrary, Sensitive Zones are more extended in Spain, attaining 60% of the watershed, against only 30% in Portugal. Technical measures comprised advanced urban and industrial wastewater treatment that was designed to remove N compounds before discharge in the water bodies. Given this assessment, Tagus River Basin sustainability can only be guaranteed through load inputs reductions and effective transnational management processes of water flows.</p>", "keywords": ["STRATEGIES", "SURFACE", "IMPACT", "Tagus river basin", "01 natural sciences", "nitrogen", "12. Responsible consumption", "11. Sustainability", "PORTUGAL", "FIELD", "agriculture", "0105 earth and related environmental sciences", "LAND-USE", "Sensitive Zones", "measures", "15. Life on land", "Tagus River Basin", "6. Clean water", "Vulnerable Zones", "PHOSPHORUS", "WATER-QUALITY", "13. Climate action", "impact", "SOIL-CROP ENVIRONMENT", "sensitive zones", "AGRICULTURAL DOMINATED CATCHMENTS", "vulnerable zones"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/10/4/406/pdf"}, {"href": "https://doi.org/10.3390/w10040406"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/w10040406", "name": "item", "description": "10.3390/w10040406", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/w10040406"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-03-30T00:00:00Z"}}, {"id": "10.5061/dryad.845kg37", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:22:24Z", "type": "Dataset", "title": "Data from: Resource acquisition strategies facilitate Gilbertiodendron dewevrei monodominance in African lowland forests", "description": "unspecified1. Tropical forests are hyperdiverse, yet extensive areas of monodominant  forest occur in the tropics worldwide. Most long-lived and persistent  monodominant tree species form ectomycorrhizal fungi symbioses, allowing  them to obtain nutrients directly from soil organic matter. This might  promote monodominance by reducing nutrient availability to co-occurring  species, the majority of which form associations with arbuscular  mycorrhizal fungi. 2. Gilbertiodendron dewevrei forest is the most  widespread monodominant forest in tropical Africa. Its distribution  appears determined in part by moisture availability, but its monodominance  is not thought to be driven by its fungal partner or soil fertility. 3.  Here we compare soil fertility of twenty G. dewevrei stands to mixed  forest from three sites across an 8,400 km2 region of the Central African  Republic and the Republic of Congo. In contrast to previous studies, we  find monodominant G. dewevrei stands associated with infertile soils, as  base cations (calcium, magnesium, total exchangeable bases) and  extractable manganese are extremely low, and significantly lower in soils  under G. dewevrei forest compared to mixed forest. Further, and consistent  with ectomycorrhizal forests globally, soil carbon to nitrogen and carbon  to phosphorus ratios are significantly higher in G. dewevrei stands than  in mixed forest stands, providing evidence in support of direct  acquisition of nitrogen and phosphorus from soil organic matter by  ectomycorrhizal fungi. 4. Gilbertiodendron dewevrei recruits from the  seedling bank, with its large seedlings surviving in high densities for  over a decade. We tested whether light plasticity could facilitate  monodominance by growing seedlings of G. dewevrei under controlled light  conditions. We found that its seedlings grow well under a wide range of  irradiance levels and conclude that this plasticity affords a competitive  advantage. 5. Synthesis: We reframe the discussion of factors contributing  to monodominance of G. dewevrei into one of resource acquisition and use  efficiency. In particular, G. dewevrei is associated with moist and  infertile soils and competes well under a variety of light conditions. Our  data is consistent with a model where root associations with  ectomycorrhizal fungi drive monodominance through the direct acquisition  of nutrients from soil organic matter, promoting nutrient limitation of  co-occurring species.", "keywords": ["2. Zero hunger", "C:N and C:P ratios", "Congo Basin", "Central Africa", "ectomycorrhizal fungi", "15. Life on land", "Monodominant tropical forest", "Gilbertiodendron dewevrei"], "contacts": [{"organization": "Hall, Jefferson, Harris, David, Saltonsall, Kristin, Medjibe, Vincent, Ashton, Mark, Turner, Benjamin,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.845kg37"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.845kg37", "name": "item", "description": "10.5061/dryad.845kg37", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.845kg37"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-08-26T00:00:00Z"}}, {"id": "10.5061/dryad.6h5v2pv", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-05-30T16:22:23Z", "type": "Dataset", "title": "Data from: Long-term recovery of the functional community assembly and carbon pools in an African tropical forest succession", "description": "unspecifiedSupplementary  InformationRaw data underlying the  analyses in the publication.", "keywords": ["carbon stocks", "Congo Basin", "Central Africa", "carbon stocks.", "functional assembly", "15. Life on land", "secondary succession", "long-term recovery"], "contacts": [{"organization": "Bauters, Marijn, Vercleyen, Oscar, Vanlauwe, Bernard, Six, Johan, Bonyoma, Bernard, Badjoko, Henri, Hubau, Wannes, Hoyt, Alison, Boudin, Mathieu, Verbeeck, Hans, Boeckx., Pascal,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.6h5v2pv"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.6h5v2pv", "name": "item", "description": "10.5061/dryad.6h5v2pv", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.6h5v2pv"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-04-05T00:00:00Z"}}, {"id": "10.5194/essd-2021-358", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:22:47Z", "type": "Journal Article", "created": "2021-10-28", "title": "The MONARCH high-resolution reanalysis of desert dust aerosol over Northern Africa, the Middle East and Europe (2007\u20132016)", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. One of the challenges in studying desert dust aerosol along with its numerous interactions and impacts is the paucity of direct in-situ measurements, particularly in the areas most affected by dust storms. Satellites typically provide columnintegrated aerosol measurements, but observationally-constrained continuous 3D dust fields are needed to assess dust variability, climate effects and impacts upon a variety of socio-economic sectors. Here, we present a high resolution regional reanalysis data set of desert dust aerosols that covers Northern Africa, the Middle East and Europe along with the Mediterranean sea and parts of Central Asia, and the Atlantic and Indian Oceans between 2007 and 2016. The horizontal resolution is 0.1\u00b0 latitude\u2009\u00d7\u20090.1\u00b0 longitude, and the temporal resolution is 3 hours. The reanalysis was produced using Local Ensemble Transform Kalman Filter (LETKF) data assimilation in the Multiscale Online Non-hydrostatic AtmospheRe CHemistry model (MONARCH) developed at the Barcelona Supercomputing Center (BSC). The assimilated data are coarse-mode dust optical depth retrieved from the Moderate Resolution Imaging Spectroradiometer (MODIS) Deep Blue Level 2 products. The reanalysis data set consists of upper air (dust mass concentrations and extinction coefficient), surface (dust deposition and solar irradiance fields, among them) and total column (e.g., dust optical depth and load) variables. Some dust variables, such as concentrations and wet and dry deposition, are expressed for a binned size distribution that ranges from 0.2 to 20\u2009\u03bcm in particle diameter. Both analysis and first-guess (analysis-initialized simulation) fields are available for the variables that are diagnosed from the state vector. A set of ensemble statistics is archived for each output variable, namely the ensemble mean, standard deviation, maximum and median. The spatial and temporal distribution of the dust fields follows well-known dust cycle features controlled by seasonal changes in meteorology and vegetation cover. The analysis is statistically closer to the assimilated retrievals than the first-guess, which proves the consistency of the data assimilation method. Independent evaluation using AERONET dust-filtered optical depth retrievals indicates that the reanalysis data set is highly accurate (mean bias\u2009=\u2009\u22120.05, RMSE\u2009=\u20090.12, r\u2009=\u20090.81 when compared to retrievals from the spectral de-convolution algorithm on a 3-hourly basis). Verification statistics are broadly homogeneous in space and time with regional differences that can be partly attributed to model limitations (e.g., poor representation of small-scale emission processes), presence of aerosols other than dust in the observations used in the evaluation, and differences in the number of observations among seasons. Such a reliable high-resolution historical record of atmospheric desert dust will allow a better quantification of dust impacts upon key sectors of society and economy, including health, solar energy production and transportation. The reanalysis data set (Di Tomaso et al., 2021) is distributed via a Thematic Real-time Environmental Distributed Data Service (THREDDS) at BSC and freely available at http://hdl.handle.net/21.12146/c6d4a608-5de3-47f6-a004-67cb1d498d98.                         </p></article>", "keywords": ["Desert dust aerosol", "550", "Climate", "MINERAL-COMPOSITION", "Aerosols atmosf\u00e8rics", "01 natural sciences", "Dust emission", "[SDU] Sciences of the Universe [physics]", "LETKF", "Local ensemble transform Kalman filter", "DATA ASSIMILATION", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria agroaliment\u00e0ria::Ci\u00e8ncies de la terra i de la vida::Climatologia i meteorologia", "Pols -- Control", "SDG 3 - Good Health and Well-being", "MONARCH", "SAHARAN DUST", "SDG 13 - Climate Action", "SIZE DISTRIBUTION", "GE1-350", "Desert", "CONVECTIVE ADJUSTMENT SCHEME", "Aerosol measurements", "Multiscale Online Nonhydrostatic AtmospheRe CHemistry model", "0105 earth and related environmental sciences", "QE1-996.5", "info:eu-repo/classification/ddc/550", ":Enginyeria agroaliment\u00e0ria::Ci\u00e8ncies de la terra i de la vida::Climatologia i meteorologia [\u00c0rees tem\u00e0tiques de la UPC]", "ddc:550", "Geology", "1 MODEL DESCRIPTION", "OPTICAL-PROPERTIES", "MONARCH modeling system", "Atmospheric aerosols", "Environmental sciences", "Earth sciences", "PM10 CONCENTRATIONS", "900", "Dust aerosol", "13. Climate action", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "SINGLE-SCATTERING ALBEDO", "MEDITERRANEAN BASIN", "Dust control"]}, "links": [{"href": "https://iris.cnr.it/bitstream/20.500.14243/417480/1/prod_471097-doc_191235.pdf"}, {"href": "https://essd.copernicus.org/articles/14/2785/2022/essd-14-2785-2022.pdf"}, {"href": "https://doi.org/10.5194/essd-2021-358"}, {"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-2021-358", "name": "item", "description": "10.5194/essd-2021-358", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/essd-2021-358"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-10-28T00:00:00Z"}}, {"id": "10.5194/hess-19-4201-2015", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:22:50Z", "type": "Journal Article", "created": "2015-10-20", "title": "Multidecadal Change In Streamflow Associated With Anthropogenic Disturbances In The Tropical Andes", "description": "<p>Abstract. Andean headwater catchments are an important source of freshwater for downstream water users. However, few long-term studies exist on the relative importance of climate change and direct anthropogenic perturbations on flow regimes in these catchments. In this paper, we assess change in streamflow based on long time series of hydrometeorological data (1974\uffe2\uff80\uff932008) and land cover reconstructions (1963\uffe2\uff80\uff932009) in the Pangor catchment (282 km2) located in the tropical Andes. Three main land cover change trajectories can be distinguished during the period 1963\uffe2\uff80\uff932009: (1) expansion of agricultural land by an area equal to 14 % of the catchment area (or 39 km2) in 46 years' time, (2) deforestation of native forests by 11 % (or \uffe2\uff88\uff9231 km2) corresponding to a mean rate of 67 ha yr\uffe2\uff88\uff921, and (3) afforestation with exotic species in recent years by about 5 % (or 15 km2). Over the time period 1963\uffe2\uff80\uff932009, about 50 % of the 64 km2 of native forests was cleared and converted to agricultural land. Given the strong temporal variability of precipitation and streamflow data related to El Ni\uffc3\uffb1o\uffe2\uff80\uff93Southern Oscillation, we use empirical mode decomposition techniques to detrend the time series. The long-term increasing trend in rainfall is remarkably different from the observed changes in streamflow, which exhibit a decreasing trend. Hence, observed changes in streamflow are not the result of long-term change in precipitation but very likely result from anthropogenic disturbances associated with land cover change.                     </p>", "keywords": ["Technology", "Period (music)", "0208 environmental biotechnology", "Urban Flooding", "Precipitation", "02 engineering and technology", "Oceanography", "Environmental technology. Sanitary engineering", "land-use change", "Geography. Anthropology. Recreation", "Climate change", "GE1-350", "TD1-1066", "Water Science and Technology", "Climatology", "2. Zero hunger", "Global and Planetary Change", "Geography", "Ecology", "T", "Physics", "Hydrology (agriculture)", "Geology", "Programming language", "Hydrological Modeling and Water Resource Management", "Physical Sciences", "Cartography", "Land cover", "1443", "Hydrometeorology", "Drainage basin", "0207 environmental engineering", "Streamflow", "Environmental science", "G", "Global Flood Risk Assessment and Management", "Meteorology", "Afforestation", "Agroforestry", "Biology", "Land use", " land-use change and forestry", "FOS: Earth and related environmental sciences", "Acoustics", "15. Life on land", "Computer science", "Environmental sciences", "Geotechnical engineering", "Deforestation (computer science)", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Global Drought Monitoring and Assessment", "Land use"]}, "links": [{"href": "https://doi.org/10.5194/hess-19-4201-2015"}, {"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-19-4201-2015", "name": "item", "description": "10.5194/hess-19-4201-2015", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/hess-19-4201-2015"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-10-20T00:00:00Z"}}, {"id": "10.5194/hess-25-17-2021", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:22:51Z", "type": "Journal Article", "created": "2021-01-04", "title": "Evaluation of 18 satellite- and model-based soil moisture products using in situ measurements from 826 sensors", "description": "<p>Abstract. Information about the spatiotemporal variability of soil moisture is critical for many purposes, including monitoring of hydrologic extremes, irrigation scheduling, and prediction of agricultural yields. We evaluated the temporal dynamics of 18 state-of-the-art (quasi-)global near-surface soil moisture products, including six based on satellite retrievals, six based on models without satellite data assimilation (referred to hereafter as \uffe2\uff80\uff9copen-loop\uffe2\uff80\uff9d models), and six based on models that assimilate satellite soil moisture or brightness temperature data. Seven of the products are introduced for the first time in this study: one multi-sensor merged satellite product called MeMo (Merged soil Moisture) and six estimates from the HBV (Hydrologiska Byr\uffc3\uffa5ns Vattenbalansavdelning) model with three precipitation inputs (ERA5, IMERG, and MSWEP) with and without assimilation of SMAPL3E satellite retrievals, respectively. As reference, we used in situ soil moisture measurements between 2015 and 2019 at 5\uffe2\uff80\uff89cm depth from 826 sensors, located primarily in the USA and Europe. The 3-hourly Pearson correlation (R) was chosen as the primary performance metric. We found that application of the Soil Wetness Index (SWI) smoothing filter resulted in improved performance for all satellite products. The best-to-worst performance ranking of the four single-sensor satellite products was SMAPL3ESWI, SMOSSWI, AMSR2SWI, and ASCATSWI, with the L-band-based SMAPL3ESWI (median R of 0.72) outperforming the others at 50\uffe2\uff80\uff89% of the sites. Among the two multi-sensor satellite products (MeMo and ESA-CCISWI), MeMo performed better on average (median R of 0.72 versus 0.67), probably due to the inclusion of SMAPL3ESWI. The best-to-worst performance ranking of the six open-loop models was HBV-MSWEP, HBV-ERA5, ERA5-Land, HBV-IMERG, VIC-PGF, and GLDAS-Noah. This ranking largely reflects the quality of the precipitation forcing. HBV-MSWEP (median R of\uffc2\uffa00.78) performed best not just among the open-loop models but among all products. The calibration of HBV improved the median R by +0.12 on average compared to random parameters, highlighting the importance of model calibration. The best-to-worst performance ranking of the six models with satellite data assimilation was HBV-MSWEP+SMAPL3E, HBV-ERA5+SMAPL3E, GLEAM, SMAPL4, HBV-IMERG+SMAPL3E, and ERA5. The assimilation of SMAPL3E retrievals into HBV-IMERG improved the median R by +0.06, suggesting that data assimilation yields significant benefits at the global scale.                     </p>", "keywords": ["Technology", "CLIMATE-CHANGE", "550", "GLOBAL-SCALE EVALUATION", "NEAR-SURFACE", "RADIOFREQUENCY INTERFERENCE", "T", "AMSR-E", "4 DECADES", "15. Life on land", "Environmental technology. Sanitary engineering", "01 natural sciences", "6. Clean water", "HEIHE RIVER-BASIN", "AGRICULTURAL SITES", "G", "Environmental sciences", "DATA ASSIMILATION", "13. Climate action", "Earth and Environmental Sciences", "Geography. Anthropology. Recreation", "GE1-350", "TD1-1066", "SMOS", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://eprints.soton.ac.uk/471538/1/hess_25_17_2021.pdf"}, {"href": "https://doi.org/10.5194/hess-25-17-2021"}, {"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-25-17-2021", "name": "item", "description": "10.5194/hess-25-17-2021", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/hess-25-17-2021"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-05-19T00:00:00Z"}}, {"id": "10.5194/hess-25-5749-2021", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:22:51Z", "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": "10261/277849", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:25:48Z", "type": "Journal Article", "created": "2022-03-04", "title": "Sediment yields variation and response to the controlling factors in the Wei River Basin, China", "description": "Open AccessPeer reviewed", "keywords": ["Controlling factors", "13. Climate action", "0208 environmental biotechnology", "Sediment yield", "0207 environmental engineering", "Correlation analysis", "Spatial and temporal variation", "02 engineering and technology", "15. Life on land", "6. Clean water", "Wei River Basin"]}, "links": [{"href": "https://doi.org/10261/277849"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/CATENA", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/277849", "name": "item", "description": "10261/277849", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/277849"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-06-01T00:00:00Z"}}, {"id": "10.5281/zenodo.2645510", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:24:22Z", "type": "Dataset", "title": "C-isotopic signatures and soil properties of Amazon basin oxisols", "description": "Open AccessThis dataset presents C isotopic data from two sites (Apu\u00ed and Manacapuru) located in the state of Amazonas, Brazil. Soils were sampled at three time periods, under weak raining (March-2016), extreme dry (August-2016), and strong wet (March-2017) conditions. The dataset first presents general information about the site (on the tab 'site'), followed by more detailed information (on the tab 'profile') about both sampling locations. The coordinates, altitude, mean annual temperature, mean annual precipitation, soil order in USDA taxonomy and their respective land use categories and vegetation classifications are described. On the 'layer' tab, information about the soil depth, percent sand, silt and clay, pH CaCl2 and H2O, Organic and Total Carbon, total nitrogen and carbon/nitrogen ratio are described. The bulk C-isotopic signature is also listed on this tab as the Bulk Layer \u039414C and its standard deviation, Bulk Layer Fraction Modern and its standard deviation. The 'Incubation' tab describes details of the soil incubations conducted at Apu\u00ed and Manacapuru. Information about the material and length of incubation, as well as the CO2 fluxes over the duration of incubation are reported. The respired C-isotopic signature during the incubation is also given on this tab as the incubation \u039414C and its standard deviation, incubation Fraction Modern and its standard deviation.", "keywords": ["2. Zero hunger", "Total Carbon", "Organic Carbon", "14C", "13. Climate action", "Incubation", "Amazon basin", "15. Life on land", "ISRaD", "Oxisols", "Carbon Isotope"], "contacts": [{"organization": "Kuhnen, \u00c1gatha, Matschullat, J\u00f6rg, Sierra, Carlos A, Lima, R. M. B. de,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.2645510"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.2645510", "name": "item", "description": "10.5281/zenodo.2645510", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.2645510"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-11-05T00:00:00Z"}}, {"id": "11585/828003", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:26:14Z", "type": "Journal Article", "created": "2021-07-08", "title": "Diffuse Water Pollution from Agriculture: A Review of Nature-Based Solutions for Nitrogen Removal and Recovery", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The implementation of nature-based solutions (NBSs) can be a suitable and sustainable approach to coping with environmental issues related to diffuse water pollution from agriculture. NBSs exploit natural mitigation processes that can promote the removal of different contaminants from agricultural wastewater, and they can also enable the recovery of otherwise lost resources (i.e., nutrients). Among these, nitrogen impacts different ecosystems, resulting in serious environmental and human health issues. Recent research activities have investigated the capability of NBS to remove nitrogen from polluted water. However, the regulating mechanisms for nitrogen removal can be complex, since a wide range of decontamination pathways, such as plant uptake, microbial degradation, substrate adsorption and filtration, precipitation, sedimentation, and volatilization, can be involved. Investigating these processes is beneficial for the enhancement of the performance of NBSs. The present study provides a comprehensive review of factors that can influence nitrogen removal in different types of NBSs, and the possible strategies for nitrogen recovery that have been reported in the literature.</p></article>", "keywords": ["2. Zero hunger", "13. Climate action", "15. Life on land", "nitrogen; constructed wetlands; buffer strips; vegetated channels; water sediment control basins; water pollution", "01 natural sciences", "6. Clean water", "0105 earth and related environmental sciences", "3. Good health"]}, "links": [{"href": "https://cris.unibo.it/bitstream/11585/828003/1/2021_Diffuse%20Water%20Pollution%20from%20Agriculture.pdf"}, {"href": "https://www.mdpi.com/2073-4441/13/14/1893/pdf"}, {"href": "https://doi.org/11585/828003"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11585/828003", "name": "item", "description": "11585/828003", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11585/828003"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-07-08T00:00:00Z"}}, {"id": "10400.5/24932", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:25:56Z", "type": "Journal Article", "created": "2022-06-10", "title": "Diversity and Agronomic Performance of Lupinus mutabilis Germplasm in European and Andean Environments", "description": "<p>The introduction of Lupinus mutabilis (Andean lupin) in Europe will provide a new source of protein and oil for plant-based diets and biomass for bio-based products, while contributing to the improvement of marginal soils. This study evaluates for the first time the phenotypic variability of a large panel of L. mutabilis accessions both in their native environment and over two cropping conditions in Europe (winter crop in the Mediterranean region and summer crop in North-Central Europe), paving the way for the selection of accessions adapted to specific environments. The panel of 225 accessions included both germplasm pools from the Andean region and breeding lines from Europe. Notably, we reported higher grain yield in Mediterranean winter-cropping conditions (18 g/plant) than in the native region (9 g/plant). Instead, North European summer-cropping conditions appear more suitable for biomass production (up to 2 kg/plant). The phenotypic evaluation of 16 agronomical traits revealed significant variation in the panel. Principal component analyses pointed out flowering time, yield, and architecture-related traits as the main factors explaining variation between accessions. The Peruvian material stands out among the top-yielding accessions in Europe, characterized by early lines with high grain yield (e.g., LIB065, LIB072, and LIB155). Bolivian and Ecuadorian materials appear more valuable for the selection of genotypes for Andean conditions and for biomass production in Europe. We also observed that flowering time in the different environments is influenced by temperature accumulation. Within the panel, it is possible to identify both early and late genotypes, characterized by different thermal thresholds (600\uffc2\uffb0C\uffe2\uff80\uff93700\uffc2\uffb0C and 1,000\uffe2\uff80\uff931,200\uffc2\uffb0C GDD, respectively). Indications on top-yielding and early/late accessions, heritability of morpho-physiological traits, and their associations with grain yield are reported and remain largely environmental specific, underlining the importance of selecting useful genetic resources for specific environments. Altogether, these results suggest that the studied panel holds the genetic potential for the adaptation of L. mutabilis to Europe and provide the basis for initiating a breeding program based on exploiting the variation described herein.</p", "keywords": ["Biomass (ecology)", "0301 basic medicine", "Lupin Seeds", "Cropping", "germplasm characterization", "Plant Science", "Crop", "Plant breeding", "SB1-1110", "Evolution and Nutritional Properties of Lupin Seeds", "Agricultural and Biological Sciences", "03 medical and health sciences", "Germplasm", "Biology", "Ecology", " Evolution", " Behavior and Systematics", "2. Zero hunger", "0303 health sciences", "biomass", "Ecology", "grain yield", "Plant culture", "Life Sciences", "Genomics and Breeding of Legume Crops", "Agriculture", "15. Life on land", "Agronomy", "Lupinus", "vegetative development", "Evolution and Ecology of Endophyte-Grass Symbiosis", "Andean lupin", "breeding", "FOS: Biological sciences", "Mediterranean Basin", "Mediterranean climate", "phenotypic diversity"]}, "links": [{"href": "https://repositorio.ulisboa.pt/bitstream/10400.5/24932/1/DRAT-fpls-13-903661.pdf"}, {"href": "https://doi.org/10400.5/24932"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Plant%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10400.5/24932", "name": "item", "description": "10400.5/24932", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10400.5/24932"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-06-10T00:00:00Z"}}, {"id": "10835/7999", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:26:03Z", "type": "Journal Article", "created": "2020-04-02", "title": "Barriers and Facilitators for Adopting Sustainable Soil Management Practices in Mediterranean Olive Groves", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Soil is a fundamental resource, subject to severe and quick degradation processes because of the pressure of human activities, particularly in many regions of the Mediterranean where agriculture is an important economic activity. It has been proven that the use of sustainable soil management practices can potentially give rise to the creation of a carbon sink, an increase of soil organic matter content, the maintenance of crop productivity and a reduction in erosion. Despite the existence of scientific evidence about the benefits generated by the use of sustainable practices on soil, many farmers are reluctant to adopt them. The objective of this study is to identify and give a hierarchical structure to the factors that condition the adoption of sustainable practices in the management of agricultural soil. The case of olive tree cultivation in Southeast Spain has been studied, using a participatory qualitative methodology. The results show a series of seven principal barriers (information, costs, risk aversion, characteristics of the farm and sustainable practices, macro factors, and cultural barriers) and five facilitators (technology, farmer training, awareness, incentives, and social pressure) for the adoption of the proposed sustainable agricultural practices. The principal political and legislative actions proposed to increase the adoption of sustainable agricultural practices include: administrative control, fostering environmental awareness, technical knowledge, and on-farm demonstrations; and, on the economic and financial level, incorporation of both general incentives and subsidizing specific costs. This study contributes to the development and discussion of intervention proposals that are designed to stimulate the implementation of sustainable practices in agricultural soil management.</p></article>", "keywords": ["2. Zero hunger", "impact assessment", "S", "Impact assessment", "Mediterranean basin", "impact assessment; Delphi; agricultural development; sustainability; Mediterranean basin; participatory qualitative methodology", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "sustainability", "Delphi", "01 natural sciences", "12. Responsible consumption", "agricultural development", "13. Climate action", "11. Sustainability", "0401 agriculture", " forestry", " and fisheries", "participatory qualitative methodology", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2073-4395/10/4/506/pdf"}, {"href": "https://www.mdpi.com/2073-4395/10/4/506/pdf"}, {"href": "https://doi.org/10835/7999"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10835/7999", "name": "item", "description": "10835/7999", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10835/7999"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-04-02T00:00:00Z"}}, {"id": "11585/910145", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:26:14Z", "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": "1854/LU-01J9NQCTA3B39X0MAC0P804GF5", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:26:23Z", "type": "Journal Article", "created": "2024-09-20", "title": "Model-based analysis of the impact of climate change on hydrology in the Guayas River basin (Ecuador)", "description": "ABSTRACT                <p>Worldwide climate change will most likely lead to drastic changes in hydrology and food production. In this study, the impact of climate change on the hydrological regime and the fate of pesticides in the Guayas River basin is investigated using the Soil and Water Assessment Tool. Four general circulation models and three representative concentration pathways (RCP 4.5, RCP 6.0 and RCP 8.5) for three future periods were used to assess impact of climate change. Future projections showed a maximum increase in the average monthly precipitation of 40% in June, as well as an increase in an average minimum temperature of 3.85\uffc2\uffb0C for July and an average maximum temperature of 4.5\uffc2\uffb0C for August in 2080s. The model simulations based on RCP 8.5 scenario predict an increase in potential evapotranspiration by 11%, surface runoff of 39% and water yield of 33% in 2080s. The pesticide simulation showed the highest water concentrations during the wet season. Projections of trends in pesticide concentration indicate a similar trend to the current situation given the application rate remains the same. The results can be beneficial for the management and planning of the basin to mitigate flood and water quality-related impacts of food production and climate change.</p", "keywords": ["SOIL", "CALIBRATION", "climate change", "water balance", "WATER-QUALITY", "Earth and Environmental Sciences", "PRECIPITATION", "Soil and Water Assessment Tool (SWAT)", "Guayas River basin", "pesticides", "general circulation models (GCMs)", "VALIDATION"]}, "links": [{"href": "https://doi.org/1854/LU-01J9NQCTA3B39X0MAC0P804GF5"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Water%20and%20Climate%20Change", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-01J9NQCTA3B39X0MAC0P804GF5", "name": "item", "description": "1854/LU-01J9NQCTA3B39X0MAC0P804GF5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-01J9NQCTA3B39X0MAC0P804GF5"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-09-20T00:00:00Z"}}, {"id": "20.500.14243/417480", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:26:43Z", "type": "Journal Article", "created": "2021-10-28", "title": "The MONARCH high-resolution reanalysis of desert dust aerosol over Northern Africa, the Middle East and Europe (2007\u20132016)", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. One of the challenges in studying desert dust aerosol along with its numerous interactions and impacts is the paucity of direct in-situ measurements, particularly in the areas most affected by dust storms. Satellites typically provide columnintegrated aerosol measurements, but observationally-constrained continuous 3D dust fields are needed to assess dust variability, climate effects and impacts upon a variety of socio-economic sectors. Here, we present a high resolution regional reanalysis data set of desert dust aerosols that covers Northern Africa, the Middle East and Europe along with the Mediterranean sea and parts of Central Asia, and the Atlantic and Indian Oceans between 2007 and 2016. The horizontal resolution is 0.1\u00b0 latitude\u2009\u00d7\u20090.1\u00b0 longitude, and the temporal resolution is 3 hours. The reanalysis was produced using Local Ensemble Transform Kalman Filter (LETKF) data assimilation in the Multiscale Online Non-hydrostatic AtmospheRe CHemistry model (MONARCH) developed at the Barcelona Supercomputing Center (BSC). The assimilated data are coarse-mode dust optical depth retrieved from the Moderate Resolution Imaging Spectroradiometer (MODIS) Deep Blue Level 2 products. The reanalysis data set consists of upper air (dust mass concentrations and extinction coefficient), surface (dust deposition and solar irradiance fields, among them) and total column (e.g., dust optical depth and load) variables. Some dust variables, such as concentrations and wet and dry deposition, are expressed for a binned size distribution that ranges from 0.2 to 20\u2009\u03bcm in particle diameter. Both analysis and first-guess (analysis-initialized simulation) fields are available for the variables that are diagnosed from the state vector. A set of ensemble statistics is archived for each output variable, namely the ensemble mean, standard deviation, maximum and median. The spatial and temporal distribution of the dust fields follows well-known dust cycle features controlled by seasonal changes in meteorology and vegetation cover. The analysis is statistically closer to the assimilated retrievals than the first-guess, which proves the consistency of the data assimilation method. Independent evaluation using AERONET dust-filtered optical depth retrievals indicates that the reanalysis data set is highly accurate (mean bias\u2009=\u2009\u22120.05, RMSE\u2009=\u20090.12, r\u2009=\u20090.81 when compared to retrievals from the spectral de-convolution algorithm on a 3-hourly basis). Verification statistics are broadly homogeneous in space and time with regional differences that can be partly attributed to model limitations (e.g., poor representation of small-scale emission processes), presence of aerosols other than dust in the observations used in the evaluation, and differences in the number of observations among seasons. Such a reliable high-resolution historical record of atmospheric desert dust will allow a better quantification of dust impacts upon key sectors of society and economy, including health, solar energy production and transportation. The reanalysis data set (Di Tomaso et al., 2021) is distributed via a Thematic Real-time Environmental Distributed Data Service (THREDDS) at BSC and freely available at http://hdl.handle.net/21.12146/c6d4a608-5de3-47f6-a004-67cb1d498d98.</p></article>", "keywords": ["Desert dust aerosol", "550", "Climate", "MINERAL-COMPOSITION", "Aerosols atmosf\u00e8rics", "01 natural sciences", "Dust emission", "[SDU] Sciences of the Universe [physics]", "LETKF", "Local ensemble transform Kalman filter", "DATA ASSIMILATION", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria agroaliment\u00e0ria::Ci\u00e8ncies de la terra i de la vida::Climatologia i meteorologia", "Pols -- Control", "SDG 3 - Good Health and Well-being", "MONARCH", "SAHARAN DUST", "SIZE DISTRIBUTION", "GE1-350", "Desert", "CONVECTIVE ADJUSTMENT SCHEME", "Aerosol measurements", "Multiscale Online Nonhydrostatic AtmospheRe CHemistry model", "0105 earth and related environmental sciences", "QE1-996.5", "info:eu-repo/classification/ddc/550", ":Enginyeria agroaliment\u00e0ria::Ci\u00e8ncies de la terra i de la vida::Climatologia i meteorologia [\u00c0rees tem\u00e0tiques de la UPC]", "ddc:550", "Geology", "1 MODEL DESCRIPTION", "OPTICAL-PROPERTIES", "MONARCH modeling system", "Atmospheric aerosols", "Environmental sciences", "Earth sciences", "PM10 CONCENTRATIONS", "900", "Dust aerosol", "13. Climate action", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "SINGLE-SCATTERING ALBEDO", "MEDITERRANEAN BASIN", "Dust control"]}, "links": [{"href": "https://iris.cnr.it/bitstream/20.500.14243/417480/1/prod_471097-doc_191235.pdf"}, {"href": "https://essd.copernicus.org/articles/14/2785/2022/essd-14-2785-2022.pdf"}, {"href": "https://doi.org/20.500.14243/417480"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Earth%20System%20Science%20Data", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.14243/417480", "name": "item", "description": "20.500.14243/417480", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.14243/417480"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-10-28T00:00:00Z"}}, {"id": "20.500.12556/RUL-136343", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:26:41Z", "type": "Journal Article", "created": "2021-09-22", "title": "Integrated Water Quality Management Model for the Rural Transboundary River Basin\u2014A Case Study of the Sutla/Sotla River", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The intensive use of soil and water resources results in a disbalance between the environmental and economic objectives of the river basin. The water quality management model supports good water status, especially downstream of dams and reservoirs, as in the case of the Sutla/Sotla river basin. This research aims to develop a new, improved integrated water quality management model of rural transboundary basins to achieve environmental objectives and protection of the Natura 2000 sites. The model uses river basin pressure analysis to assess the effects of climate and hydrological extreme impacts, and a programme of basic and supplementary measures. The impact assessment of BASE MODEL, PAST, and FUTURE scenarios was modelled using the soil and water assessment tool (SWAT) based on land use, climate and hydrological data, climate change, presence or lack of a reservoir, and municipal wastewater and agriculture measures. Eight future climate change scenarios were obtained with optimistic (RCP4.5) and pessimistic (RCP8.5) forecasts for two periods (2020\u20132050 and 2070\u20132100), both with and without a reservoir. The model shows that the most significant impacts on the waterbody come from the nutrients and sediment hotspots, also shows the risk of not achieving good water status, and water eutrophication risk. The modelled average annual increase in sediment is from 4 to 25% and in total N from 1 to 8%, while the change in total P is from \u22125 to 6%. The conducted analysis provides a base for the selection of tailor-made measures from the catalogue of the supplementary measures that will be outlined in future research.</p></article>", "keywords": ["environmental objectives WFD", "integrated water quality management model", "environmental objectives WFD ; integrated water quality management model ; good water status ; rural transboundary river basin ; Sutla/Sotla ; climate change ; scenarios ; SWAT ; measures", "rural transboundary river basin", "01 natural sciences", "11. Sustainability", "hidrologija", "SWAT", "14. Life underwater", "kakovost voda", "0105 earth and related environmental sciences", "vodotoki", "2. Zero hunger", "scenarios", "measures", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water", "Sotla", "climate change", "info:eu-repo/classification/udc/556", "13. Climate action", "vodni mened\u017ement", "Sutla/Sotla", "0401 agriculture", " forestry", " and fisheries", "SWAT model", "good water status"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/13/18/2569/pdf"}, {"href": "https://www.mdpi.com/2073-4441/13/18/2569/pdf"}, {"href": "https://doi.org/20.500.12556/RUL-136343"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.12556/RUL-136343", "name": "item", "description": "20.500.12556/RUL-136343", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.12556/RUL-136343"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-09-17T00:00:00Z"}}, {"id": "3014363994", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:27:21Z", "type": "Journal Article", "created": "2020-04-02", "title": "Barriers and Facilitators for Adopting Sustainable Soil Management Practices in Mediterranean Olive Groves", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Soil is a fundamental resource, subject to severe and quick degradation processes because of the pressure of human activities, particularly in many regions of the Mediterranean where agriculture is an important economic activity. It has been proven that the use of sustainable soil management practices can potentially give rise to the creation of a carbon sink, an increase of soil organic matter content, the maintenance of crop productivity and a reduction in erosion. Despite the existence of scientific evidence about the benefits generated by the use of sustainable practices on soil, many farmers are reluctant to adopt them. The objective of this study is to identify and give a hierarchical structure to the factors that condition the adoption of sustainable practices in the management of agricultural soil. The case of olive tree cultivation in Southeast Spain has been studied, using a participatory qualitative methodology. The results show a series of seven principal barriers (information, costs, risk aversion, characteristics of the farm and sustainable practices, macro factors, and cultural barriers) and five facilitators (technology, farmer training, awareness, incentives, and social pressure) for the adoption of the proposed sustainable agricultural practices. The principal political and legislative actions proposed to increase the adoption of sustainable agricultural practices include: administrative control, fostering environmental awareness, technical knowledge, and on-farm demonstrations; and, on the economic and financial level, incorporation of both general incentives and subsidizing specific costs. This study contributes to the development and discussion of intervention proposals that are designed to stimulate the implementation of sustainable practices in agricultural soil management.</p></article>", "keywords": ["2. Zero hunger", "impact assessment", "S", "Mediterranean basin", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "sustainability", "Delphi", "01 natural sciences", "12. Responsible consumption", "agricultural development", "13. Climate action", "11. Sustainability", "0401 agriculture", " forestry", " and fisheries", "participatory qualitative methodology", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2073-4395/10/4/506/pdf"}, {"href": "https://www.mdpi.com/2073-4395/10/4/506/pdf"}, {"href": "https://doi.org/3014363994"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3014363994", "name": "item", "description": "3014363994", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3014363994"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-04-02T00:00:00Z"}}, {"id": "PMC10039844", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:29:44Z", "type": "Journal Article", "created": "2023-03-25", "title": "Evaluating the impacts of sustainable land management practices on water quality in an agricultural catchment in Lower Austria using SWAT", "description": "Abstract <p>Managing agricultural watersheds in an environmentally friendly manner necessitate the strategic implementation of well-targeted sustainable land management (SLM) practices that limit soil and nonpoint source pollution losses and translocation. Watershed-scale SLM-scenario modeling has the potential to identify efficient and effective management strategies from the field to the integrated landscape level. In a case study targeting a 66-hectare watershed in Petzenkirchen, Lower Austria, the Soil and Water Assessment Tool (SWAT) was utilized to evaluate a variety of locally adoptable SLM practices. SWAT was calibrated and validated (monthly) at the catchment outlet for flow, sediment, nitrate-nitrogen (NO3\uffe2\uff80\uff93N), ammonium nitrogen (NH4\uffe2\uff80\uff93N), and mineralized phosphorus (PO4\uffe2\uff80\uff93P) using SWATplusR. Considering the locally existing agricultural practices and socioeconomic and environmental factors of the research area, four conservation practices were evaluated: baseline scenario, contour farming (CF), winter cover crops (CC), and a combination of no-till and cover crops (NT\uffe2\uff80\uff89+\uffe2\uff80\uff89CC). The NT\uffe2\uff80\uff89+\uffe2\uff80\uff89CC SLM practice was found to be the most effective soil conservation practice in reducing soil loss by around 80%, whereas CF obtained the best results for decreasing the nutrient loads of NO3\uffe2\uff80\uff93N and PO4\uffe2\uff80\uff93P by 11% and 35%, respectively. The findings of this study imply that the setup SWAT model can serve the context-specific performance assessment and eventual promotion of SLM interventions that mitigate on-site land degradation and the consequential off-site environmental pollution resulting from agricultural nonpoint sources.</p", "keywords": ["Agricultural and Biological Sciences", "Soil", "Context (archaeology)", "Engineering", "Water Quality", "Soil water", "Water Science and Technology", "Watershed Management", "2. Zero hunger", "Geography", "Ecology", "Life Sciences", "Soil and Water Assessment Tool", "Agriculture", "Hydrology (agriculture)", "6. Clean water", "Soil Erosion and Agricultural Sustainability", "Water resource management", "Hydrological Modeling and Water Resource Management", "Water quality", "Archaeology", "Austria", "Physical Sciences", "SWAT model", "Environmental Monitoring", "Cartography", "Conservation of Natural Resources", "Biogeochemical Cycling of Nutrients in Aquatic Ecosystems", "Drainage basin", "Nitrogen", "Soil Science", "Streamflow", "Article", "Environmental science", "Soil quality", "Machine learning", "Environmental Chemistry", "Civil engineering", "Biology", "Nonpoint source pollution", "Soil science", "15. Life on land", "Watershed Simulation", "Watershed management", "Watershed", "Computer science", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Land use", "FOS: Civil engineering"]}, "links": [{"href": "https://doi.org/PMC10039844"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Monitoring%20and%20Assessment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "PMC10039844", "name": "item", "description": "PMC10039844", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PMC10039844"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-03-25T00:00:00Z"}}, {"id": "06c3dcab-77bd-462b-b19e-32ac72d9155d", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-31.23, 27.86], [-31.23, 70.09], [34.09, 70.09], [34.09, 27.86], [-31.23, 27.86]]]}, "properties": {"themes": [{"concepts": [{"id": "environment"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Montenegro"}, {"id": "Albania"}, {"id": "United Kingdom"}, {"id": "Iceland"}, {"id": "Switzerland"}, {"id": "EU27 (from 2020)"}, {"id": "Norway"}, {"id": "Netherlands"}, {"id": "Denmark"}, {"id": "Estonia"}, {"id": "Lithuania"}, {"id": "Slovenia"}, {"id": "Bulgaria"}, {"id": "Spain"}, {"id": "Slovakia"}, {"id": "Sweden"}, {"id": "Belgium"}, {"id": "Greece"}, {"id": "Poland"}, {"id": "Croatia"}, {"id": "Luxembourg"}, {"id": "Italy"}, {"id": "Ireland"}, {"id": "Romania"}, {"id": "Finland"}, {"id": "Latvia"}, {"id": "Czechia"}, {"id": "Portugal"}, {"id": "Cyprus"}, {"id": "France"}, {"id": "Hungary"}, {"id": "Malta"}, {"id": "Austria"}, {"id": "Germany"}], "scheme": "Continents, countries, sea regions of the world."}, {"concepts": [{"id": "2021 1.1.2"}, {"id": "2024 1.1.6"}], "scheme": "EEA Management Plan"}, {"concepts": [{"id": "Water"}, {"id": "Agriculture and food"}], "scheme": "EEA topics"}, {"concepts": [{"id": "drinking water protection area"}, {"id": "urban waste water"}, {"id": "nitrate directive"}, {"id": "bathing water"}, {"id": "Water Framework Directive"}, {"id": "environment"}], "scheme": "GEMET"}, {"concepts": [{"id": "Area management/restriction/regulation zones and reporting units"}, {"id": "Soil"}], "scheme": "GEMET - 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Identification of Bathing Waters (until 2019)"}, {"id": "Water Framework Directive - River Basin Management Plans - 2016 Spatial data"}, {"id": "Bathing Water Directive - Monitoring and Classification of Bathing Waters (until 2019)"}, {"id": "Nitrates Directive - Report"}, {"id": "Urban Waste Water Treatment Directive - Situation Report"}, {"id": "Water Framework Directive - River Basin Management Plans - 2016 Reporting"}, {"id": "Bathing Water Directive - Monitoring and Classification of Bathing Waters"}, {"id": "Water Framework Directive - River Basin Management Plans - 2016 RBD XML data"}, {"id": "Bathing Water Directive - Identification of Bathing Waters"}, {"id": "Water Framework Directive - River Basin Management Plans - 2022 RBD XML data"}, {"id": "Water Framework Directive - River Basin Management Plans - 2022 Reporting"}, {"id": "Water Framework Directive - River Basin Management Plans - 2022 Spatial data"}], "scheme": "https://rod.eionet.europa.eu/obligations"}, {"concepts": [{"id": "European"}], "scheme": "http://inspire.ec.europa.eu/metadata-codelist/SpatialScope"}], "updated": "2024-12-13T15:38:49.142865Z", "type": "Dataset", "language": "eng", "title": "WISE WFD Protected Areas under the Water Framework Directive", "description": "The WISE WFD protected areas data set contains the location of areas which have been designated as requiring special protection of their surface water and groundwater, or for the conservation of habitats and species directly depending on water, including economically significant aquatic species (e.g. shellfish).\n\nAccording to the Article 6 of the Water Framework Directive (WFD, Directive 2000/60/EC), Member States shall ensure the establishment of a register of all areas lying within each River Basin District which have been designated as requiring special protection under specific Community legislation for the protection of their surface water and groundwater, or for the conservation of habitats and species directly depending on water, including the protection of Natura 2000 sites and economically significant aquatic species (e.g. shellfish).", "keywords": ["Montenegro", "Albania", "United Kingdom", "Iceland", "Switzerland", "EU27 (from 2020)", "Norway", "Netherlands", "Denmark", "Estonia", "Lithuania", "Slovenia", "Bulgaria", "Spain", "Slovakia", "Sweden", "Belgium", "Greece", "Poland", "Croatia", "Luxembourg", "Italy", "Ireland", "Romania", "Finland", "Latvia", "Czechia", "Portugal", "Cyprus", "France", "Hungary", "Malta", "Austria", "Germany", "2021 1.1.2", "2024 1.1.6", "Water", "Agriculture and food", "drinking water protection area", "urban waste water", "nitrate directive", "bathing water", "Water Framework Directive", "environment", "Area management/restriction/regulation zones and reporting units", "Soil", "Urban waste water sensitive areas - 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Situation Report", "Water Framework Directive - River Basin Management Plans - 2016 Reporting", "Bathing Water Directive - Monitoring and Classification of Bathing Waters", "Water Framework Directive - River Basin Management Plans - 2016 RBD XML data", "Bathing Water Directive - Identification of Bathing Waters", "Water Framework Directive - River Basin Management Plans - 2022 RBD XML data", "Water Framework Directive - River Basin Management Plans - 2022 Reporting", "Water Framework Directive - River Basin Management Plans - 2022 Spatial data", "European"], "contacts": [{"name": null, "organization": "European Environment Agency", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "sdi@eea.europa.eu"}], "addresses": [{"deliveryPoint": ["Kongens Nytorv 6"], "city": "Copenhagen", "administrativeArea": "K", "postalCode": "1050", "country": "Denmark"}], "links": [{"href": {"url": "http://www.eea.europa.eu", "protocol": "WWW:LINK-1.0-http--link", "protocol_url": "", "name": "European Environment Agency public website", "name_url": "", "description": null, "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": "information"}}]}], "denominator": "100000"}, "links": [{"href": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/40e6624e-cd58-4183-8a5d-61795100b133.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "06c3dcab-77bd-462b-b19e-32ac72d9155d", "name": "item", "description": "06c3dcab-77bd-462b-b19e-32ac72d9155d", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/06c3dcab-77bd-462b-b19e-32ac72d9155d"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2006-01-01T00:00:00Z", "2006-12-31T00:00:00Z"]}}, {"id": "53473144-b88c-44bc-b4a3-4583ed1f547e", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:32:31Z", "type": "Dataset", "language": "en", "title": "GHS-UCDB R2019A - GHS Urban Centre Database 2015, multitemporal and multidimensional attributes", "description": "The Global Human Settlement Layer (GHSL) produces new global spatial information, evidence-based analytics, and knowledge describing the human presence in the planet. The Joint Research Centre (JRC) and the Directorate General for Regional Development (DG REGIO) of the European Commission support the GHSL activities. The GHSL contributes to the international partnership \u201cGEO Human Planet Initiative\u201d. The GHSL methods rely on automatic spatial data mining technologies allowing the extraction of analytics and knowledge from large amount of heterogeneous data including global, fine-scale satellite-image data streams, census data, and crowd sources or volunteering geographic information sources. Spatial data reporting objectively and systematically about the presence of population and built-up infrastructures are necessary for any evidence-based modelling or assessing of i) human and physical exposure to threats as environmental contamination and degradation, natural disasters and conflicts, ii) impact of human activities on ecosystems, and iii) access to resources.  The GHS Urban Centre Database (GHS- UCDB) describes spatial entities called \u201curban centres\u201d accordingly to a set of multi-temporal thematic attributes gathered from the GHSL sources integrated with other sources available in the open scientific domain.  The Urban Centres are defined by specific cut-off values on resident population and built-up surface share in a 1x1 km global uniform grid. The input data it is generated by the GHSL, and the operating parameters are set in the frame of the \u201cdegree of urbanization\u201d (DEGURBA) methodology. The DEGURBA is a methodology for delineation of urban and rural areas made for international statistical comparison purposes that is developed by the European Commission, the Organization for Economic Co-operation and Development (OECD), the Food and Agriculture Organization of the United Nations (FAO), UN-Habitat and the World Bank. The reference GHSL input data used to delineate the Urban Centres are included in the Community pre-Release of GHS Data Package (GHS CR2018) in support to the GEO Human Planet Initiative. The parameter set used to delineate the Urban Centres from the input data are included in the GHSL settlement classification model SMODv9s10E 2018. The reference epoch for the spatial delineation of the Urban Centres is 2015. The attributes of the GHS-UCDB have different time depth for a maximum of 40 years, depending on availability of the input sources.", "formats": [{"name": "ZIP"}], "keywords": ["accessibility", "biome", "built-up-areas", "climate", "co2", "ddr", "degree-of-urbanisation", "degurba", "earthquake", "elevation", "environment", "eu", "flood", "gdp", "ghs-ucdb", "ghsl", "greenness", "heatwave", "land-use-efficiency", "multitemporal", "nightlight", "open-space", "pm2.5", "pollution", "population", "precipitation", "remoteness", "river-basin", "sdg", "settlement-model", "soil", "storm-surge", "sustainable-development-goal", "temperature", "ucdb", "urban", "urban-centre", "urban-rural-classification"], "contacts": [{"organization": "http://publications.europa.eu/resource/authority/corporate-body/JRC", "roles": ["publisher"]}]}, "links": [{"href": "https://ghsl.jrc.ec.europa.eu/"}, {"href": "http://data.europa.eu/88u/dataset/53473144-b88c-44bc-b4a3-4583ed1f547e"}, {"href": "http://data.europa.eu/89h/53473144-b88c-44bc-b4a3-4583ed1f547e"}, {"rel": "self", "type": "application/geo+json", "title": "53473144-b88c-44bc-b4a3-4583ed1f547e", "name": "item", "description": "53473144-b88c-44bc-b4a3-4583ed1f547e", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/53473144-b88c-44bc-b4a3-4583ed1f547e"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "062735bd-fe92-40a3-af13-2f845b0e2f25", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[64.05, 4.73], [64.05, 37.03], [91.74, 37.03], [91.74, 4.73], [64.05, 4.73]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "India"}], "scheme": "Continents, countries, sea regions of the world."}], "updated": "2022-07-19T07:56:17", "language": "eng", "title": "Evapotranspiration from precipitation (K4, Karnataka, India - Monthly - 250m)", "description": "Evapotranspiration from precipitation calculated for the Malaprabha (K4) sub-basin area. The Evapotranspiration from precipitation (etrain) is the evapotranspiration of green water, in other words the fraction of the total evapotranspiration that is due to rainfall. The calculation is based on a pixel-based soil moisture balance model. More information can be found on the IHE Delft Water Accounting report of Karnataka.", "formats": [{"name": "netCDF"}, {"name": "OGC:WMS-1.3.0-http-get-map"}], "keywords": ["Evapotranspiration from precipitation", "Rainfall Evapotranspiration", "Evapotranspiration", "Soil moisture balance model", "Water Accounting", "ADB", "Monthly", "Malaprabha sub-basin", "K4 sub-basin", "Krishna river basin", "Karnataka", "India", "India"], "contacts": [{"name": "Elga Salvadore", "organization": "IHE-Delft", "position": null, "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "e.salvadore@un-ihe.org"}], "addresses": [{"deliveryPoint": ["Westvest 7"], "city": "Delft", "administrativeArea": null, "postalCode": "2611 AX", "country": "The Netherlands"}], "links": [{"href": null}]}, {"organization": "IHE-Delft", "roles": ["creator"]}]}, "links": [{"href": "https://io.apps.fao.org/geoserver/wms/WATER/K4_ETRAIN/v2?service=WMS&version=1.3.0&request=GetCapabilities", "name": "ETRAIN:MONTH:MONTH", "description": "Rainfall EvapoTranspiration (K4)", "protocol": "OGC:WMS-1.3.0-http-get-map", "rel": null}, {"rel": "self", "type": "application/geo+json", "title": "062735bd-fe92-40a3-af13-2f845b0e2f25", "name": "item", "description": "062735bd-fe92-40a3-af13-2f845b0e2f25", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/062735bd-fe92-40a3-af13-2f845b0e2f25"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2010-06-01T00:00:00Z", "2018-05-01T00:00:00Z"]}}, {"id": "0d0093fa-15e4-4b6a-b7cc-3f3a56fad431", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[34.4, 29.18], [34.4, 33.6], [36.8, 33.6], [36.8, 29.18], [34.4, 29.18]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Asia"}, {"id": "Jordan"}], "scheme": "Continents, countries, sea regions of the world."}], "updated": "2022-05-30T12:40:40", "language": "eng", "title": "Incremental evapotranspiration (Jordan River Basin - Monthly - 100m)", "description": "Incremental evapotranspiration calculated for the Jordan River Basin area. The incremental evapotranspiration is part of the actual evapotranspiration and Interception (ETIa) that is not satified from precipitation but from supply or runoff from other cells or from groundwater. It is calculated by spliting ETIa to rainfall and incremental ET using pixel based soil moisture water balance model.", "formats": [{"name": "NetCDF"}, {"name": "OGC:WMS-1.3.0-http-get-map"}], "keywords": ["Water", "Water accounting", "ET", "Rainfall", "WaPOR", "WaPOR_2_Basin", "WA+", "Monthly", "Jordan River Basin", "Africa and Near East", "Asia", "Jordan"], "contacts": [{"name": "WaPOR", "organization": "FAO-UN", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "wapor@fao.org"}], "addresses": [{"deliveryPoint": ["Viale delle Terme di Caracalla"], "city": "Rome", "administrativeArea": null, "postalCode": "00153", "country": "Italy"}], "links": [{"href": null}]}]}, "links": [{"href": "https://io.apps.fao.org/geoserver/wms/WATER/JOR_ETINCR/v2?request=GetCapabilities&service=WMS&version=1.1.1", "name": "ETINCR:MONTH:MONTH", "description": "Incremental evapotranspiration (Jordan River Basin - Monthly - 100m)", "protocol": "OGC:WMS-1.3.0-http-get-map", "rel": null}, {"rel": "self", "type": "application/geo+json", "title": "0d0093fa-15e4-4b6a-b7cc-3f3a56fad431", "name": "item", "description": "0d0093fa-15e4-4b6a-b7cc-3f3a56fad431", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0d0093fa-15e4-4b6a-b7cc-3f3a56fad431"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2009-01-01T00:00:00Z", "2018-12-31T00:00:00Z"]}}, {"id": "0dd36219-902b-4771-8062-eda528a183bd", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[64.05, 4.73], [64.05, 37.03], [91.74, 37.03], [91.74, 4.73], [64.05, 4.73]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "India"}], "scheme": "Continents, countries, sea regions of the world."}], "updated": "2022-07-19T08:11:00", "language": "eng", "title": "Total Flow (K4, Karnataka, India - Monthly - 250m)", "description": "Total Flow (calculated for the Malaprabha (K4) sub-basin area.\nThe total flow (tf) is the sum of surface runoff (sro) and the base flow (bf). More information can be found on the IHE Delft Water Accounting report of Karnataka.", "formats": [{"name": "netCDF"}, {"name": "OGC:WMS-1.3.0-http-get-map"}], "keywords": ["Total Flow", "Surface runoff", "Base flow", "Water Accounting", "ADB", "Monthly", "Malaprabha sub-basin", "K4 sub-basin", "Krishna river basin", "Karnataka", "India", "India"], "contacts": [{"name": "Elga Salvadore", "organization": "IHE-Delft", "position": null, "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "e.salvadore@un-ihe.org"}], "addresses": [{"deliveryPoint": ["Westvest 7"], "city": "Delft", "administrativeArea": null, "postalCode": "2611 AX", "country": "The Netherlands"}], "links": [{"href": null}]}, {"organization": "IHE-Delft", "roles": ["creator"]}]}, "links": [{"href": "https://io.apps.fao.org/geoserver/wms/WATER/K4_TF/v2?service=WMS&version=1.3.0&request=GetCapabilities", "name": "TFW:MONTH:MONTH", "description": "Total Flow (K4", "protocol": "OGC:WMS-1.3.0-http-get-map", "rel": null}, {"rel": "self", "type": "application/geo+json", "title": "0dd36219-902b-4771-8062-eda528a183bd", "name": "item", "description": "0dd36219-902b-4771-8062-eda528a183bd", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0dd36219-902b-4771-8062-eda528a183bd"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2010-06-01T00:00:00Z", "2018-05-01T00:00:00Z"]}}, {"id": "10256e65-3086-4318-afa6-2264501ff4e4", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-30.0, -40.0], [-30.0, 40.0], [65.0, 40.0], [65.0, -40.0], [-30.0, -40.0]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Africa"}], "scheme": "Continents, countries, sea regions of the world."}], "license": "Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)", "updated": "2022-01-27T16:17:26", "language": "eng", "title": "Transpiration (Africa and Near East - Dekadal - 100m)", "description": "The transpiration (T) data component (dekadal, in mm/day) is the actual transpiration of the vegetation canopy. The value of each pixel represents the average daily actual transpiration for that specific dekad. The data is provided in near real time from January 2009 to present.", "formats": [{"name": "TIF"}, {"name": "OGC:WMS-1.3.0-http-get-map"}, {"name": "WWW:LINK-1.0-http--link"}], "keywords": ["Water", "WaPOR", "WaPOR_2", "WaPOR_2_National", "Autogenerated", "Dekadal", "Africa and Near East", "Benin", "Burundi", "Egypt", "Ethiopia", "Ghana", "Iraq", "Jordan", "Kenya", "Lebanon", "Mali", "Morocco", "Mozambique", "Niger", "Palestine", "Rwanda", "South Sudan", "Sudan", "Syrian Arab Republic", "Tunisia", "Uganda", "Yemen", "Awash Basin", "Jordan Basin", "Litani Basin", "Niger Basin", "Nile Basin", "Africa"], "contacts": [{"name": "WaPOR", "organization": "FAO-UN", "position": null, "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "wapor@fao.org"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "FAO-UN", "roles": ["creator"]}], "edition": "Version 2.0"}, "links": [{"href": "https://io.apps.fao.org/geoserver/wms/WAPOR_2/L2_T_D/v2?service=WMS&version=1.3.0&request=GetCapabilities", "name": "WATER_MM:DEKAD:10-DAYS", "description": "Transpiration (Dekadal)", "protocol": "OGC:WMS-1.3.0-http-get-map", "rel": "download"}, {"href": "https://WaPOR.apps.fao.org/catalog/WaPOR_2/2/L2_T_D", "name": "Download data from WaPOR Website", "description": "Transpiration  (Africa and Near East - Dekadal)", "protocol": "WWW:LINK-1.0-http--link", "rel": "download"}, {"href": "https://io.apps.fao.org/geoserver/wms/reflect?layers=WAPOR_2:l2_t_d", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "10256e65-3086-4318-afa6-2264501ff4e4", "name": "item", "description": "10256e65-3086-4318-afa6-2264501ff4e4", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10256e65-3086-4318-afa6-2264501ff4e4"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-01-01T00:00:00Z"}}, {"id": "13903459-06c0-4db8-90e1-6c9a75f1edeb", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[64.05, 4.73], [64.05, 37.03], [91.74, 37.03], [91.74, 4.73], [64.05, 4.73]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "India"}], "scheme": "Continents, countries, sea regions of the world."}], "updated": "2022-06-13T14:50:38", "language": "eng", "title": "Percolation (K2, Karnataka, India - Monthly - 250m)", "description": "Percolation calculated for the Middle Krishna (K2) sub-basin area. The Percolation (perco) is the ammount of soil moisture in the root zone that leaks deeper contributing to groundwater recharge. The calculation of Percolation is based on a pixel-based soil moisture balance model. More information can be found on the IHE Delft Water Accounting report of Karnataka.", "formats": [{"name": "netCDF"}, {"name": "OGC:WMS-1.3.0-http-get-map"}], "keywords": ["Percolation", "Soil moisture balance model", "Water Accounting", "ADB", "Monthly", "Middle Krishna sub-basin", "K2 sub-basin", "Krishna river basin", "Karnataka", "India", "India"], "contacts": [{"name": "Elga Salvadore", "organization": "IHE-Delft", "position": null, "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "e.salvadore@un-ihe.org"}], "addresses": [{"deliveryPoint": ["Westvest 7"], "city": "Delft", "administrativeArea": null, "postalCode": "2611 AX", "country": "The Netherlands"}], "links": [{"href": null}]}, {"organization": "IHE-Delft", "roles": ["creator"]}]}, "links": [{"href": "https://io.apps.fao.org/geoserver/wms/WATER/K2_PERCO/v2?service=WMS&version=1.3.0&request=GetCapabilities", "name": "PERCO:MONTH:MONTH", "description": "Percolation (K2)", "protocol": "OGC:WMS-1.3.0-http-get-map", "rel": null}, {"rel": "self", "type": "application/geo+json", "title": "13903459-06c0-4db8-90e1-6c9a75f1edeb", "name": "item", "description": "13903459-06c0-4db8-90e1-6c9a75f1edeb", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/13903459-06c0-4db8-90e1-6c9a75f1edeb"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2010-06-01T00:00:00Z", "2018-05-01T00:00:00Z"]}}, {"id": "17b86ea9-c932-47d8-a2cd-a7590cd0072c", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-18.38, -36.52], [-18.38, 37.26], [62.59, 37.26], [62.59, -36.52], [-18.38, -36.52]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Africa"}], "scheme": "Continents, countries, sea regions of the world."}], "license": "Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)", "updated": "2022-01-27T16:19:26", "language": "eng", "title": "Gross Biomass Water Productivity (Africa and Near East - Seasonal - 100m)", "description": "The seasonal Gross Biomass Water Productivity expresses the quantity of output (total biomass production) in relation to the total volume of water consumed (actual EvapoTranspiration) during the growing cycle of the vegetation. By relating biomass production to total EvapoTranspiration (sum of soil evaporation, canopy transpiration and interception), this indicator provides insights on the impact of vegetation development on consumptive water use and thus on water balance in a given domain. When the focus is on monitoring performance of irrigated agriculture in relation to water consumption, it is more appropriate to use transpiration alone as a denominator, as a measure of water beneficially consumed by the plant. This latter indicator, for which we use the term \\\"net water productivity\\\", provides useful information on how effectively vegetation (and particularly crops) uses water to develop its biomass (and thus yield). The data is provided in near real time from January 2009 to present.", "formats": [{"name": "TIF"}, {"name": "OGC:WMS-1.3.0-http-get-map"}, {"name": "WWW:LINK-1.0-http--link"}], "keywords": ["Water", "WaPOR", "WaPOR_2", "WaPOR_2_National", "Autogenerated", "Seasonal", "Africa and Near East", "Benin", "Burundi", "Egypt", "Ethiopia", "Ghana", "Iraq", "Jordan", "Kenya", "Lebanon", "Mali", "Morocco", "Mozambique", "Niger", "Palestine", "Rwanda", "South Sudan", "Sudan", "Syrian Arab Republic", "Tunisia", "Uganda", "Yemen", "Awash Basin", "Jordan Basin", "Litani Basin", "Niger Basin", "Nile Basin", "Africa"], "contacts": [{"name": "WaPOR", "organization": "FAO-UN", "position": null, "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "wapor@fao.org"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "FAO-UN", "roles": ["creator"]}], "edition": "Version 2.0"}, "links": [{"href": "https://io.apps.fao.org/geoserver/wms/WAPOR_2/L2_GBWP_S/v2?service=WMS&version=1.3.0&request=GetCapabilities", "name": "WPR:YEAR:YEAR", "description": "Gross Biomass Water Productivity (Africa and Near East - Seasonal - 100m)", "protocol": "OGC:WMS-1.3.0-http-get-map", "rel": "information"}, {"href": "https://WaPOR.apps.fao.org/catalog/WaPOR_2/2/L2_GBWP_S", "name": "Download data from WaPOR Website", "description": "Gross Biomass Water Productivity  (Africa and Near East - Seasonal)", "protocol": "WWW:LINK-1.0-http--link", "rel": "download"}, {"href": "https://io.apps.fao.org/geoserver/wms/reflect?layers=WAPOR_2:l2_gbwp_s", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "17b86ea9-c932-47d8-a2cd-a7590cd0072c", "name": "item", "description": "17b86ea9-c932-47d8-a2cd-a7590cd0072c", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/17b86ea9-c932-47d8-a2cd-a7590cd0072c"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-01-01T00:00:00Z"}}, {"id": "1e14846a-85ed-4381-8f62-f56d160dfd84", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[64.05, 4.73], [64.05, 37.03], [91.74, 37.03], [91.74, 4.73], [64.05, 4.73]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "India"}], "scheme": "Continents, countries, sea regions of the world."}], "updated": "2022-06-13T14:26:30", "language": "eng", "title": "Surface runoff (K2, Karnataka, India - Monthly - 250m)", "description": "Surface runoff calculated for the Middle Krishna (K2) sub-basin area.\nThe surface runoff (sro) is the fraction of the effective rainfall that does infiltrate into the soil and contributes to overland flow. More information can be found on the IHE Delft Water Accounting report of Karnataka.", "formats": [{"name": "netCDF"}, {"name": "OGC:WMS-1.3.0-http-get-map"}], "keywords": ["Surface runoff", "Rainfall", "Precipitation", "Water Accounting", "ADB", "Monthly", "Middle Krishna sub-basin", "K2 sub-basin", "Krishna river basin", "Karnataka", "India", "India"], "contacts": [{"name": "Elga Salvadore", "organization": "IHE-Delft", "position": null, "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "e.salvadore@un-ihe.org"}], "addresses": [{"deliveryPoint": ["Westvest 7"], "city": "Delft", "administrativeArea": null, "postalCode": "2611 AX", "country": "The Netherlands"}], "links": [{"href": null}]}, {"organization": "IHE-Delft", "roles": ["creator"]}]}, "links": [{"href": "https://io.apps.fao.org/geoserver/wms/WATER/K2_SRO/v2?service=WMS&version=1.3.0&request=GetCapabilities", "name": "SRO:MONTH:MONTH", "description": "Surface runoff (K2)", "protocol": "OGC:WMS-1.3.0-http-get-map", "rel": null}, {"rel": "self", "type": "application/geo+json", "title": "1e14846a-85ed-4381-8f62-f56d160dfd84", "name": "item", "description": "1e14846a-85ed-4381-8f62-f56d160dfd84", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1e14846a-85ed-4381-8f62-f56d160dfd84"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2010-06-01T00:00:00Z", "2018-05-01T00:00:00Z"]}}, {"id": "1feedb4a-90e4-4edd-b105-970b1c4bf12f", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[64.05, 4.73], [64.05, 37.03], [91.74, 37.03], [91.74, 4.73], [64.05, 4.73]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [], "scheme": "Continents, countries, sea regions of the world."}], "updated": "2022-07-19T07:10:05", "language": "eng", "title": "Evaporation (K3, Karnataka, India - Monthly - 250m)", "description": "Evaporation calculated for the Ghataprabha (K3) sub-basin area. Evaporation (e) is one of the three components of the actual evapotranspiration (SSEBop global data). It is computed as the difference between the actual evapotranspiration (ET), the interception (I) and the transpiration (T). E = ET- I - T", "formats": [{"name": "netCDF"}, {"name": "OGC:WMS-1.3.0-http-get-map"}], "keywords": ["Evaporation", "Water Accounting", "ADB", "Monthly", "Ghataprabha sub-basin", "K3 sub-basin", "Krishna river basin", "Karnataka", "India"], "contacts": [{"name": "Elga Salvadore", "organization": "IHE-Delft", "position": null, "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "e.salvadore@un-ihe.org"}], "addresses": [{"deliveryPoint": ["Westvest 7"], "city": "Delft", "administrativeArea": null, "postalCode": "2611 AX", "country": "The Netherlands"}], "links": [{"href": null}]}, {"organization": "IHE-Delft", "roles": ["creator"]}]}, "links": [{"href": "https://io.apps.fao.org/geoserver/wms/WATER/K3_E/v2?service=WMS&version=1.3.0&request=GetCapabilities", "name": "EVP:MONTH:MONTH", "description": "Evaporation (K3)", "protocol": "OGC:WMS-1.3.0-http-get-map", "rel": null}, {"rel": "self", "type": "application/geo+json", "title": "1feedb4a-90e4-4edd-b105-970b1c4bf12f", "name": "item", "description": "1feedb4a-90e4-4edd-b105-970b1c4bf12f", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1feedb4a-90e4-4edd-b105-970b1c4bf12f"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2010-06-01T00:00:00Z", "2018-05-01T00:00:00Z"]}}, {"id": "2158ab2e-7f23-4b63-a64e-beb7504687cf", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[64.05, 4.73], [64.05, 37.03], [91.74, 37.03], [91.74, 4.73], [64.05, 4.73]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "India"}], "scheme": "Continents, countries, sea regions of the world."}], "updated": "2022-07-19T07:15:15", "language": "eng", "title": "Soil Moisture (K3, Karnataka, India - Monthly - 250m)", "description": "Soil moisture calculated for the Ghataprabha (K3) sub-basin area.\nThe soil moisture (sm) is the water content in the unsaturated zone (depth of the unsaturated zone  = root zone). The calculation of soil moisture is based on a pixel-based soil moisture balance model. More information can be found on the IHE Delft Water Accounting report of Karnataka.", "formats": [{"name": "netCDF"}, {"name": "OGC:WMS-1.3.0-http-get-map"}], "keywords": ["Soil moisture", "Soil moisture balance model", "Water Accounting", "ADB", "Monthly", "Ghataprabha sub-basin", "K3 sub-basin", "Krishna river basin", "Karnataka", "India", "India"], "contacts": [{"name": "Elga Salvadore", "organization": "IHE-Delft", "position": null, "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "e.salvadore@un-ihe.org"}], "addresses": [{"deliveryPoint": ["Westvest 7"], "city": "Delft", "administrativeArea": null, "postalCode": "2611 AX", "country": "The Netherlands"}], "links": [{"href": null}]}, {"organization": "IHE-Delft", "roles": ["creator"]}]}, "links": [{"href": "https://io.apps.fao.org/geoserver/wms/WATER/K3_SM/v2?service=WMS&version=1.3.0&request=GetCapabilities", "name": "SMO:MONTH:MONTH", "description": "Soil Moisture (K3)", "protocol": "OGC:WMS-1.3.0-http-get-map", "rel": null}, {"rel": "self", "type": "application/geo+json", "title": "2158ab2e-7f23-4b63-a64e-beb7504687cf", "name": "item", "description": "2158ab2e-7f23-4b63-a64e-beb7504687cf", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2158ab2e-7f23-4b63-a64e-beb7504687cf"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2010-06-01T00:00:00Z", "2018-05-01T00:00:00Z"]}}, {"id": "21adc50b-d0a0-4efc-bcda-139738cef2fb", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-11.7, -4.3], [-11.7, 23.9], [15.9, 23.9], [15.9, -4.3], [-11.7, -4.3]]]}, "properties": {"themes": [{"concepts": [{"id": "imageryBaseMapsEarthCover"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}], "updated": "2022-06-09T06:27:58", "language": "eng", "title": "Incremental evapotranspiration (Niger River Basin - Monthly - 100m)", "description": "The incremental evapotranspiration is part of the actual evapotranspiration and Interception (ETIa) that is not satified from precipitation but from supply or runoff from other cells or from groundwater. 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