Angesichts der enormen Zerschneidungswirkung von Bundesfernstra\uffc3\uff9fen werden Gr\uffc3\uffbcnbr\uffc3\uffbccken in der Bundesrepublik vermehrt errichtet, sodass sich die Frage der rechtlichen Einordnung dieser bei Aus- und Neubau, aber auch bei bestehenden Bundesfernstra\uffc3\uff9fen stellt. Der Beitrag geht dabei auf ausgew\uffc3\uffa4hlte naturschutzrechtliche Instrumente ein, beleuchtet fachplanungsrechtliche Besonderheiten und stellt die Frage der (finanziellen) Verh\uffc3\uffa4ltnism\uffc3\uffa4\uffc3\uff9figkeit von Gr\uffc3\uffbcnbr\uffc3\uffbccken. Die global steigenden Treibhausgase ver\uffc3\uffa4ndern in zunehmenden Ma\uffc3\uff9fe auch in Deutschland die klimatischen Verh\uffc3\uffa4ltnisse. Betroffen sind insbesondere hiesige Agrarlandschaften, die weite Teile Deutschlands umfassen und schon gegenw\uffc3\uffa4rtig vielf\uffc3\uffa4ltige \uffc3\uffb6kologische Probleme aufweisen. Auch wenn die landwirtschaftlichen Nutzungen pr\uffc3\uffa4gend f\uffc3\uffbcr Agrarlandschaften sind, so h\uffc3\uffa4ngt ihre Zukunftsf\uffc3\uffa4higkeit nicht allein von einer Ver\uffc3\uffa4nderung der Bewirtschaftungsmethoden ab. Die Gestaltung zukunftsf\uffc3\uffa4higer Agrarlandschaften bedarf einer \uffc3\uffbcber den einzelnen Schlag hinausgehenden Betrachtung und ist eine gesamtgesellschaftliche Aufgabe, die deutlich \uffc3\uffbcber die Verantwortung und M\uffc3\uffb6glichkeiten der einzelnen Grundst\uffc3\uffbcckseigent\uffc3\uffbcmerInnen und -bewirtschafterInnen hinausreicht. Ausgehend von den bekannten \uffc3\uffb6kologischen Problemen und den im Beitrag ausf\uffc3\uffbchrlicher dargestellten besonderen Herausforderungen des Klimawandels untersuchen wir daher, was Zukunftsf\uffc3\uffa4higkeit bedeutet und welche gesellschaftlichen Ziele und Anforderungen sich hieraus f\uffc3\uffbcr Agrarlandschaften identifizieren lassen. Der Beitrag will damit eine Grundlage f\uffc3\uffbcr die Ausarbeitung praktischer Ma\uffc3\uff9fnahmenkonzepte und entsprechender staatlicher Lenkung und F\uffc3\uffb6rderung schaffen. 1 300 millions). Cet article pr\u00e9sente les r\u00e9sultats d'une \u00e9valuation ascendante visant \u00e0 quantifier le potentiel technique des mesures d'att\u00e9nuation pour l'agriculture chinoise \u00e0 l'aide d'une m\u00e9ta-analyse de donn\u00e9es provenant de 240 publications pour les terres cultiv\u00e9es, 67 publications pour les prairies et 139 publications pour le b\u00e9tail, et fournit le sc\u00e9nario de r\u00e9f\u00e9rence pour l'analyse des co\u00fbts des mesures d'att\u00e9nuation identifi\u00e9es. Les options de gestion pr\u00e9sentant le plus grand potentiel d'att\u00e9nuation pour le riz ou les syst\u00e8mes de culture \u00e0 base de riz sont le travail de conservation, l'irrigation contr\u00f4l\u00e9e\u00a0; le remplacement de l'ur\u00e9e par du sulfate d'ammonium, l'application d'inhibiteurs d'azote (N), l'application d'engrais \u00e0 teneur r\u00e9duite en azote, la culture int\u00e9gr\u00e9e du riz, du poisson et du canard et l'application de biochar. Une r\u00e9duction de 15\u00a0% de l'application moyenne actuelle d'engrais azot\u00e9s synth\u00e9tiques pour le riz en Chine, soit 231 kg N ha\u22121, entra\u00eenerait une diminution de 12\u00a0% des \u00e9missions directes d'oxyde nitreux (N2O) dans le sol. L'application combin\u00e9e d'engrais chimiques et organiques, le travail de conservation, l'application de biochar et l'application r\u00e9duite d'azote sont des mesures possibles qui peuvent r\u00e9duire les \u00e9missions globales de GES des syst\u00e8mes de culture en montagne. Les apports d'engrais conventionnels pour les l\u00e9gumes de serre repr\u00e9sentent plus de 2 \u00e0 8 fois la demande optimale en nutriments des cultures. Une r\u00e9duction de 20 \u00e0 40\u00a0% de l'application d'engrais azot\u00e9s sur les cultures mara\u00eech\u00e8res peut r\u00e9duire les \u00e9missions de N2O de 32 \u00e0 121\u00a0%, sans avoir d'impact n\u00e9gatif sur le rendement. L'une des mesures d'att\u00e9nuation les plus importantes pour les prairies agricoles pourrait \u00eatre la conversion de terres cultiv\u00e9es \u00e0 faible rendement, en particulier sur les pentes, en terres arbustives ou en prairies, ce qui est \u00e9galement une option prometteuse pour r\u00e9duire l'\u00e9rosion des sols. En outre, l'exclusion du p\u00e2turage et la r\u00e9duction de l'intensit\u00e9 du p\u00e2turage peuvent augmenter la s\u00e9questration du COS et r\u00e9duire les \u00e9missions globales tout en am\u00e9liorant les prairies largement d\u00e9grad\u00e9es. Pour la production animale, o\u00f9 le fourrage de mauvaise qualit\u00e9 est couramment nourri, l'am\u00e9lioration de la gestion des p\u00e2turages et de la qualit\u00e9 de l'alimentation peut r\u00e9duire les \u00e9missions de m\u00e9thane (CH4) de 11\u00a0% et 5\u00a0% en moyenne. Les compl\u00e9ments alimentaires peuvent r\u00e9duire davantage les \u00e9missions de CH4, les lipides (r\u00e9duction de 15\u00a0%) et les tanins ou saponines (r\u00e9duction de 11\u00a0%) pr\u00e9sentant le plus grand potentiel. Nous sugg\u00e9rons \u00e9galement les mesures d'att\u00e9nuation les plus rentables sur le plan \u00e9conomique, en nous appuyant sur les travaux connexes sur la construction de courbes de co\u00fbts marginaux de r\u00e9duction pour le secteur.", "keywords": ["China", "Livestock", "550", "Cropping", "MACC", "Soil Science", "Cropland", "Rice Water Management and Productivity Enhancement", "Plant Science", "Greenhouse gas", "01 natural sciences", "7. Clean energy", "630", "Environmental science", "Meta-analysis in Ecology and Agriculture Research", "Tillage", "12. Responsible consumption", "Agricultural and Biological Sciences", "Fertilizer", "Engineering", "11. Sustainability", "Agroforestry", "Waste management", "Biology", "Ecology", " Evolution", " Behavior and Systematics", "0105 earth and related environmental sciences", "2. Zero hunger", "Technical potential", "Geography", "Ecology", "Economic potential", "Life Sciences", "Nutrient management", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "Grassland", "Agronomy", "6. Clean water", "Management", "Biochar", "Archaeology", "13. Climate action", "FOS: Biological sciences", "0401 agriculture", " forestry", " and fisheries", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "Aerobic Rice Systems", "Pyrolysis"]}, "links": [{"href": "https://doi.org/10.1016/j.agee.2015.04.035"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agriculture%2C%20Ecosystems%20%26amp%3B%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agee.2015.04.035", "name": "item", "description": "10.1016/j.agee.2015.04.035", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agee.2015.04.035"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-11-01T00:00:00Z"}}, {"id": "10.1016/j.agee.2022.108124", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:15:59Z", "type": "Journal Article", "created": "2022-08-18", "title": "Assessing almond response to irrigation and soil management practices using vegetation indexes time-series and plant water status measurements", "description": "Open AccessThis research was funded in the frame of the projects PRECIRIEGO RTC-2017\u20136365-2 financed by Agencia Estatal de Investigaci\u00f3n with European Regional Development Fund co-funds; and the European Union H2020 project SHUI GA 773903. The research was supported also by the CajaMar Caja Rural Contract \u201cEfficient use of water resources under climate change scenarios\u201d. I. Buesa and J.M. Ram\u00edrez-Cuesta acknowledge the postdoctoral financial support received from Juan de la Cierva Spanish Postdoctoral Program (FJC2019\u2013042122-I and IJC2020\u2013043601-I, respectively). Authors acknowledge David Hortelano and Jos\u00e9 Luis Ru\u00edz Garc\u00eda for the help provided in the field measurements acquisition. This work represents a contribution to CSIC Thematic Interdisciplinary Platform PTI TELEDETECT.", "keywords": ["0106 biological sciences", "Soil management", "Almonds", "F06 Irrigation", "01 natural sciences", "12. Responsible consumption", "Vegetation index", "Sentinel 2", "Remote sensing sustainable agriculture", "P33 Soil chemistry and physics", "F40 Plant ecology", "2. Zero hunger", "precision agriculture", "Precision agriculture", "Sustainable agriculture", "Water use efficiency", "Vegetation cover", "F07 Soil cultivation", "04 agricultural and veterinary sciences", "Remote sensing", "15. Life on land", "Tree canopy", "F60 Plant physiology and biochemistry", "6. Clean water", "Water management", "P30 Soil science and management", "P10 Water resources and management", "0401 agriculture", " forestry", " and fisheries", "Remote sensing", " sustainable agriculture", "Sentinel-2"]}, "links": [{"href": "https://www.iris.unict.it/bitstream/20.500.11769/552491/2/Agriculture%2c%20ecosystems%20and%20environment%202022.pdf"}, {"href": "https://doi.org/10.1016/j.agee.2022.108124"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agriculture%2C%20Ecosystems%20%26amp%3B%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agee.2022.108124", "name": "item", "description": "10.1016/j.agee.2022.108124", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agee.2022.108124"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-11-01T00:00:00Z"}}, {"id": "10.1016/j.agwat.2016.04.009", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:16:03Z", "type": "Journal Article", "created": "2016-04-27", "title": "Irrigation Regime Affected Soc Content Rather Than Plow Layer Thickness Of Rice Paddies: A County Level Survey From A River Basin In Lower Yangtze Valley, China", "description": "Abstract While the impacts of farm management practices such as fertilization, tillage and straw return on soil organic carbon dynamics in croplands have been widely studied, the effects of irrigation management in irrigated rice paddies have not yet been widely assessed. Changes in plow layer thickness and soil organic carbon content of rice paddies were analyzed using data obtained in a county-level survey of soil fertility conducted in 2005 and 2006 in Guichi County, Anhui Province, China. Both soil thickness and organic carbon content of plow layer showed skewed normal distributions, with their averages of 14.58\u00a0\u00b1\u00a03.92\u00a0cm, and 16.45\u00a0\u00b1\u00a06.02\u00a0g/kg, respectively. The irrigation method was found to have significant influences on both plow layer thickness and soil organic carbon content, as the plow layer thickness and soil organic carbon content had an inverse response to the irrigation intensity derived from different irrigation methods. The land-level performance of irrigation/drainage infrastructure and the irrigation water sources were detected to have significant effect on plow layer thickness, but little influence on soil organic carbon content. While the capacity of irrigation/drainage infrastructure had a remarkable effect on soil organic carbon content but little impact on plow layer thickness. However, the irrigation condition for surveyed fields was detected to have little effect on both plow layer thickness and soil organic carbon content. These results indicated that irrigation management should keep the balance between surface erosion on plow layer thickness and soil organic carbon accumulation. Hence, developing new technique for good irrigation infrastructure and water management in future will help soil organic carbon accumulation as well as improve the soil for enhanced crop growth in rice agriculture.", "keywords": ["330", "QH301 Biology", "01 natural sciences", "QH301", "water management", "land-use", "sequential reduction processes", "P losses", "fields", "SDG 15 - Life on Land", "0105 earth and related environmental sciences", "2. Zero hunger", "Soil organic carbon", "04 agricultural and veterinary sciences", "Irrigation water source", "15. Life on land", "topsoil organic-carbon", "6. Clean water", "lowland rice", "Irrigation management", "13. Climate action", "soil colloidal suspensions", "0401 agriculture", " forestry", " and fisheries", "Rice paddy", "lake region", "stability behavior", "Soil thickness"]}, "links": [{"href": "https://doi.org/10.1016/j.agwat.2016.04.009"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20Water%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agwat.2016.04.009", "name": "item", "description": "10.1016/j.agwat.2016.04.009", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agwat.2016.04.009"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-07-01T00:00:00Z"}}, {"id": "10.1016/j.agwat.2022.107719", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:16:04Z", "type": "Journal Article", "created": "2022-05-17", "title": "Effects of tillage systems on soil water distribution, crop development, and evaporation and transpiration rates of soybean", "description": "Open AccessTillage practices are known to affect soil water retention, plant available water and, consequently, crop production. Impacts can be determined by assessing soil hydraulic properties and crop characteristics. In this study, three tillage practices were investigated with respect to vertical soil water distribution and development of soybean. A specific focus was set on determining evaporation and transpiration as fractions of evapotranspiration to obtain additional information on water availability and crop water use. The agricultural practices included conventional tillage, reduced tillage (no plow), and no-tillage. The study site was a long-term field experiment under rainfed conditions. The investigations covered a vegetation period of soybean. The measurements comprised weather and soil water monitoring using sensors and manual monitoring of crop development. Evapotranspiration and its components were determined using scintillometer measurements and an isotope-based water balance technique. In the researched vegetation period with limited water availability, the conservative tillage practices showed better water storage, water use, and crop yields compared to the conventional practice. The weekly evaporation and transpiration rates progressed according to the respective canopy development. Thus, delayed plant development of the no-till practice led to extended green cover and productive water use during the late season, where a large part of the precipitation has fallen. The tillage-induced differences of soil hydraulic properties had a substantial impact on soil water distribution, but a comparatively small impact on the soil surface wetness and thus directly on the evaporation rate. The tillage-induced impacts on soil cover by plant residues, however, showed the substantial reduction effect of plant residue cover on evaporation losses. Hence, assessment of evaporation and transpiration rates contributes to the understanding of differences in water productivity and promotes the efficient use of the available water resources.", "keywords": ["2. Zero hunger", "0106 biological sciences", "Evapotranspiration", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "6. Clean water", "Tillage", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Soil water management", "Isotope fractionation", "Scintillometry", "Water use"], "contacts": [{"organization": "Liebhard, Gunther, Klik, Andreas, Neugschwandtner, Reinhard W., Nolz, Reinhard,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.agwat.2022.107719"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20Water%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agwat.2022.107719", "name": "item", "description": "10.1016/j.agwat.2022.107719", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agwat.2022.107719"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-07-01T00:00:00Z"}}, {"id": "10.1016/j.rse.2016.02.046", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:17:15Z", "type": "Journal Article", "created": "2016-03-05", "title": "Comparison of remote sensing and simulated soil moisture datasets in Mediterranean landscapes", "description": "AbstractThis paper presents the comparison of three global soil moisture products (ASCAT, AMSR and SMOS) versus a land surface model over a region representative of several Mediterranean landscapes located in the Northeast of the Iberian Peninsula. Our approach has been for agricultural and water management applications at the regional and local scale. Despite being a rather small area, we were able to observe different signal behaviours corresponding to major land cover classes in Mediterranean areas i.e.: dryland and irrigated crops, forests and natural vegetation (grass-shrubs). The area also allowed assessing the impact of topography. The first result of the study is that the results are very dependent on the normalizations used to make the data comparable, thus their impact must be carefully analysed. In this study, we applied two different normalisation methods (called ZV35 and ZV) and different moving average windows (1, 10 and 30days) in order to enhance seasonal effects. Using no smoothing window, ASCAT is the soil moisture product that correlates best with the LSM over all cover classes, whatever the method. Using smoothing window, AMSR-E tends to outperform other soil moisture products with the ZV method. The ZV35 method is not able to identify a small heavily irrigated area. The reason for these different results is that ZV35, tends to eliminate the monthly scale soil moisture memory and therefore becomes more sensitive to precipitation and less sensitive to the monthly evolution of superficial soil moisture. The comparison shows in general good agreement for all soil moisture products with the LSM on the temporal series simulated over flat, non irrigated areas which are not close to the sea. SMOS has difficulties in areas close to the sea and in areas with steep relief and the current version of the L2 Operational Algorithm (V5.51) depicts few values in forested areas. ASCAT, in its turn, shows some limitations over agricultural and natural vegetation where it shows an increase of soil moisture from June to October probably due to increase of penetration depth in dry soil moisture conditions. AMSR-E LPRM shows a clear vegetation cycle over all the land cover classes. From all the remote sensing products, SMOS is the only one able to see irrigation and the only that does not show clear vegetation or roughness effects. In this study, we were able to assess the impact of higher resolution soil moisture products to map irrigated areas.", "keywords": ["2. Zero hunger", "0207 environmental engineering", "Soil Science", "Agriculture", "Geology", "AMSR-E", "02 engineering and technology", "15. Life on land", "16. Peace & justice", "01 natural sciences", "6. Clean water", "Water management", "ASCAT", "13. Climate action", "Regional scale", "LSM", "Soil moisture", "Computers in Earth Sciences", "Irrigation", "SMOS", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.rse.2016.02.046"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing%20of%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.rse.2016.02.046", "name": "item", "description": "10.1016/j.rse.2016.02.046", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.rse.2016.02.046"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-07-01T00:00:00Z"}}, {"id": "10.1016/j.soilbio.2007.03.012", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:17:26Z", "type": "Journal Article", "created": "2007-04-24", "title": "Soil Carbon Turnover And Sequestration In Native Subtropical Tree Plantations", "description": "Approximately 30% of global soil organic carbon (SOC) is stored in subtropical and tropical ecosystems but it is being rapidly lost due to continuous deforestation. Tree plantations are advocated as a C sink, however, little is known about rates of C turnover and sequestration into soil organic matter under subtropical and tropical tree plantations. We studied changes in SOC in a chronosequence of hoop pine (Araucaria cwunninghamii) plantations established on former rainforest sites in seasonally dry subtropical Australia. SOC, delta C-13, and light fraction organic C (LF C < 1.6 g cm(-3)) Were determined in plantations, secondary rainforest and pasture. We calculated loss of rainforest SOC after clearing for pasture using an isotope mixing model, and used the decay rate of rainforest-derived C to predict input of hoop pine-derived C into the soil. Total SOC stocks to 100 cm depth were significantly (P < 0.01) higher under rainforest (241 t ha(-1)) and pasture (254 t ha(-1)) compared to hoop pine (176-211 t ha(-1)). We calculated that SOC derived from hoop pine inputs ranged from 32% (25 year plantation) to 61% (63 year plantation) of total SOC in the 0-30 cm soil layer, but below 30 cm all C originated from rainforest. These results were compared to simulations made by the Century soil organic matter model. The Century model Simulations showed that lower C stocks under hoop pine plantations were due to reduced C inputs to the slow turnover C pool, such that this pool only recovers to within 45% of the original rainforest C pool after 63 years. This may indicate differences in soil C stabilization mechanisms under hoop pine plantations compared with rainforest and pasture. These results demonstrate that subtropical hoop pine plantations do not rapidly sequester SOC into long-term storage pools, and that alternative plantation systems may need to be investigated to achieve greater soil C sequestration. (c) 2007 Elsevier Ltd. All rights reserved.", "keywords": ["Araucaria", "C-13", "Soil Science", "Land-use Change", "Storage", "Puerto-rico", "Century model", "01 natural sciences", "C1", "light fraction carbon", "Pasture", "300103 Soil Chemistry", "Southern Queensland", "Rain-forest", "0105 earth and related environmental sciences", "tree plantations", "Organic-matter Dynamics", "770702 Land and water management", "04 agricultural and veterinary sciences", "15. Life on land", "Long-term Trends", "carbon sequestration", "soil organic carbon", "Forest Conversion", "Continuous Cultivation", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "https://doi.org/10.1016/j.soilbio.2007.03.012"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Biology%20and%20Biochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.soilbio.2007.03.012", "name": "item", "description": "10.1016/j.soilbio.2007.03.012", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.soilbio.2007.03.012"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-08-01T00:00:00Z"}}, {"id": "10.3390/agronomy11091817", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:21:44Z", "type": "Journal Article", "created": "2021-09-10", "title": "Assessment of Capsicum annuum L. Grown in Controlled and Semi-Controlled Environments Irrigated with Greywater Treated by Floating Wetland Systems", "description": "Accumulation of trace elements, including heavy metals, were evaluated in soil and fruits of chilli plants (Capsicum annuum L.) grown under both laboratory-controlled and semi-controlled greenhouse location conditions. Chilli plant biomass growth in different development stages and fruit productivity were evaluated and compared with each other for the impact of growth boundary conditions and water quality effects. Treated synthetic greywaters by different operational design set-ups of floating treatment wetland systems were recycled for watering chillies in both locations. Effluents of each individual group of treatment set-up systems were labelled to feed sets of three replicates of chilli plants in both locations. Results revealed that the treated synthetic greywater (SGW) complied with thresholds for irrigation water, except for high concentrations (HC) of phosphates, total suspended soils, and some trace elements, such as cadmium. Chilli plants grew in both locations with different growth patterns in each development stage. First blooming and high counts of flowers were observed in the laboratory. Higher fruit production was noted for greenhouse plants: 2266 chilli fruits with a total weight of 16.824 kg with an expected market value of GBP 176.22 compared to 858 chilli fruits from the laboratory with a weight of 3.869 kg and an estimated price of GBP 17.61. However, trace element concentrations were detected in chilli fruits with the ranking order of occurrence as: Mg > Ca > Na > Fe > Zn > Al > Mn > Cu > Cd > Cr > Ni > B. The highest concentrations of accumulated Cd (3.82 mg/kg), Cu (0.56 mg/kg), and Na (0.56 mg/kg) were recorded in chilli fruits from the laboratory, while greater accumulations of Ca, Cd, Cu, Mn, and Ni with concentrations of 4.73, 1.30, 0.20, 0.21, and 0.24 mg/kg, respectively, were linked to fruits from the greenhouse. Trace elements in chilli plant soils followed the trend: Mg > Fe > Al > Cr > Mn > Cd > Cu > B. The accumulated concentrations in either chilli fruits or the soil were above the maximum permissible thresholds, indicating the need for water quality improvements.
", "keywords": ["agricultural water management", "2. Zero hunger", "soil pollution", "S", "greywater recycling", "Agriculture", "Capsicum annuum L.", "15. Life on land", "01 natural sciences", "6. Clean water", "12. Responsible consumption", "11. Sustainability", "14. Life underwater", "constructed floating wetland", "heavy metal accumulation", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://usir.salford.ac.uk/id/eprint/61848/1/agronomy-11-01817-v2.pdf"}, {"href": "https://orca.cardiff.ac.uk/id/eprint/150458/1/agronomy-11-01817-v3.pdf"}, {"href": "http://www.mdpi.com/2073-4395/11/9/1817/pdf"}, {"href": "https://www.mdpi.com/2073-4395/11/9/1817/pdf"}, {"href": "https://doi.org/10.3390/agronomy11091817"}, {"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/agronomy11091817", "name": "item", "description": "10.3390/agronomy11091817", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/agronomy11091817"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-09-10T00:00:00Z"}}, {"id": "10.1111/ejss.13515", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:19:21Z", "type": "Journal Article", "created": "2024-06-07", "title": "Trade\u2010offs and synergies of soil carbon sequestration: Addressing knowledge gaps related to soil management strategies", "description": "Abstract
Soil organic carbon (SOC) sequestration in agricultural soils is an important tool for climate change mitigation within the EU soil strategy for 2030 and can be achieved via the adoption of soil management strategies (SMS). These strategies may induce synergistic effects by simultaneously reducing greenhouse gas (GHG) emissions and/or nitrogen (N) leaching. In contrast, other SMS may stimulate emissions of GHG such as nitrous oxide (N2O) or methane (CH4), offsetting the climate change mitigation gained via SOC sequestration. Despite the importance of understanding trade\uffe2\uff80\uff90offs and synergies for selecting sustainable SMS for European agriculture, knowledge on these effects remains limited. This review synthesizes existing knowledge, identifies knowledge gaps and provides research recommendations on trade\uffe2\uff80\uff90offs and synergies between SOC sequestration or SOC accrual, non\uffe2\uff80\uff90CO2 GHG emissions and N leaching related to selected SMS. We investigated 87 peer\uffe2\uff80\uff90reviewed articles that address SMS and categorized them under tillage management, cropping systems, water management and fertilization and organic matter (OM) inputs. SMS, such as conservation tillage, adapted crop rotations, adapted water management, OM inputs by cover crops (CC), organic amendments (OA) and biochar, contribute to increase SOC stocks and reduce N leaching. Adoption of leguminous CC or specific cropping systems and adapted water management tend to create trade\uffe2\uff80\uff90offs by stimulating N2O emissions, while specific cropping systems or application of biochar can mitigate N2O emissions. The effect of crop residues on N2O emissions depends strongly on their C/N ratio. Organic agriculture and agroforestry clearly mitigate CH4 emissions but the impact of other SMS requires additional study. More experimental research is needed to study the impact of both the pedoclimatic conditions and the long\uffe2\uff80\uff90term dynamics of trade\uffe2\uff80\uff90offs and synergies. Researchers should simultaneously assess the impact of (multiple) agricultural SMS on SOC stocks, GHG emissions and N leaching. This review provides guidance to policymakers as well as a framework to design field experiments and model simulations, which can address knowledge gaps and non\uffe2\uff80\uff90intentional effects of applying agricultural SMS meant to increase SOC sequestration. We grew rice in phosphorus (P) deficient subtropical paddy soil in a field study and used 13CO2 continuous labelling to investigate photosynthetic carbon (C) partitioning and allocation under FLOOD versus WET/DRY conditions, with and without P fertilization (80\uffc2\uffa0mg P kg\uffe2\uff88\uff921). The plants and soil were sampled after each of three WET/DRY cycles to determine 13C allocation in above- and belowground plant biomass, microbial biomass, the rhizosphere, and bulk soil. Irrespective of water management, P-fertilized plants had higher biomass and P content and more total 13C in the rice-soil system, especially the 13C incorporation into the shoots (51%\uffe2\uff80\uff9396%), than samples without P fertilization. Root and bulk-soil 13C were largely independent of both P fertilization and water management. However, by the third sampling, P fertilization had increased the amount of 13C and microbial biomass 13C in the rhizosphere soil (RS) by 28% (WET/DRY) and 95% (FLOOD), and by 47% (WET/DRY) and 50% (FLOOD), respectively. The WET/DRY condition had significantly higher microbial biomass and 13C contents than FLOOD condition only in the RS. These results indicate that a well-established aboveground plant biomass following P fertilization is required to increase belowground C allocation. Thus, WET/DRY conditions, like FLOOD conditions, can provide moisture sufficient for unhindered P availability in rice-paddy system.
", "keywords": ["2. Zero hunger", "570", "330", "Microbial biomass", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "630", "6. Clean water", "Water management", "Paddy soil", "0401 agriculture", " forestry", " and fisheries", "14. Life underwater", "Rice photosynthesised C", "Phosphorus deficiency", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1139/cjss-2018-0008"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Canadian%20Journal%20of%20Soil%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1139/cjss-2018-0008", "name": "item", "description": "10.1139/cjss-2018-0008", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1139/cjss-2018-0008"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-09-01T00:00:00Z"}}, {"id": "10.1371/journal.pone.0168134", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:20:18Z", "type": "Journal Article", "created": "2016-12-13", "title": "Chinese Milk Vetch As Green Manure Mitigates Nitrous Oxide Emission From Monocropped Rice System In South China", "description": "Open AccessMonocropped rice system is an important intensive cropping system for food security in China. Green manure (GM) as an alternative to fertilizer N (FN) is useful for improving soil quality. However, few studies have examined the effect of Chinese milk vetch (CMV) as GM on nitrous oxide (N2O) emission from monocropped rice field in south China. Therefore, a pot-culture experiment with four treatments (control, no FN and CMV; CMV as GM alone, M; fertilizer N alone, FN; integrating fertilizer N with CMV, NM) was performed to investigate the effect of incorporating CMV as GM on N2O emission using a closed chamber-gas chromatography (GC) technique during the rice growing periods. Under the same N rate, incorporating CMV as GM (the treatments of M and NM) mitigated N2O emission during the growing periods of rice plant, reduced the NO3- content and activities of nitrate and nitrite reductase as well as the population of nitrifying bacteria in top soil at maturity stage of rice plant versus FN pots. The global warming potential (GWP) and greenhouse gas intensity (GHGI) of N2O from monocropped rice field was ranked as MGroundwater is one of the most important natural resources for reliable and sustainable water supplies in the world. To understand the use of water resources, the fundamental characteristics of groundwater need to be analyzed, but in many cases, in situ data measurements are not available or are incomplete. In this study, we used GIS and fuzzy analytic hierarchy process (FAHP) techniques for delineation of the groundwater potential zones (GWPZ) in the Titel Municipality (northern Serbia) based on quantitative assessment scores by experts (hydrologists, hydrogeologists, environmental and geoscientists, and agriculture experts). Six thematic layers, such as geology, geomorphology, slope, soil, land use/land cover, and drainage density were prepared and integrated into GIS software for generating the final map. The area falls into five classes: very good (25.68%), good (12.10%), moderate (15.18%), poor (41.34%), and very poor (5.70%). The GWPZ map will serve to improve the management of these natural resources to ensure future water protection and development of the agricultural sector, and the implemented method can be used in other similar natural conditions.
", "keywords": ["Geography (General)", "13. Climate action", "water management", "groundwater; geographic information systems (GIS); water management; fuzzy analytic hierarchy process (FAHP)", "groundwater", "0208 environmental biotechnology", "0207 environmental engineering", "geographic information systems (GIS)", "G1-922", "02 engineering and technology", "fuzzy analytic hierarchy process (FAHP)", "15. Life on land", "6. Clean water"]}, "links": [{"href": "http://www.mdpi.com/2220-9964/11/4/257/pdf"}, {"href": "https://www.mdpi.com/2220-9964/11/4/257/pdf"}, {"href": "https://doi.org/10.3390/ijgi11040257"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/ISPRS%20International%20Journal%20of%20Geo-Information", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/ijgi11040257", "name": "item", "description": "10.3390/ijgi11040257", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/ijgi11040257"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-15T00:00:00Z"}}, {"id": "10.22028/d291-38804", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:21:19Z", "type": "Journal Article", "created": "2022-09-13", "title": "Rechtliche Einordnung von Gr\u00fcnbr\u00fccken bei Aus- und Neubauten sowie bestehenden Bundesfernstra\u00dfen", "description": "ZusammenfassungAngesichts der enormen Zerschneidungswirkung von Bundesfernstra\uffc3\uff9fen werden Gr\uffc3\uffbcnbr\uffc3\uffbccken in der Bundesrepublik vermehrt errichtet, sodass sich die Frage der rechtlichen Einordnung dieser bei Aus- und Neubau, aber auch bei bestehenden Bundesfernstra\uffc3\uff9fen stellt. Der Beitrag geht dabei auf ausgew\uffc3\uffa4hlte naturschutzrechtliche Instrumente ein, beleuchtet fachplanungsrechtliche Besonderheiten und stellt die Frage der (finanziellen) Verh\uffc3\uffa4ltnism\uffc3\uffa4\uffc3\uff9figkeit von Gr\uffc3\uffbcnbr\uffc3\uffbccken. Non-point sources of water pollution caused by agricultural crop production are a serious problem in Czechia, at present. This paper describes a new approach for the mutual delineation and assessment of different pollution sources where the critical points method is used to identify the origin of contamination and the source areas. The critical points, i.e., sites presenting the entry of quick surface and drainage runoff into waters, are classified into three (for surface pollution sources using a WaTEM/SEDEM model) or four (subsurface = drainage sources via the catchment-measures need index) categories, respectively. This enabled us to prioritize the most endangered areas at different scales, ranging from the third-order catchments to very small subcatchments, and to design the appropriate combination of control measures to mitigate surface and drainage water runoff, with these being the main drivers of associated pollution. This methodology was applied to a study conducted in the Czech Republic within the entire Vltava River basin, with a total area of 27,578 km2, and utilized in depth to assess a 543 km2 catchment of the Vla\u0161imsk\u00e1 Blanice River. When the effect of the designed surface runoff control measures system had been assessed for sediment transport through outlet profiles of the fourth-order catchments, the average reduction reached 43%. The total reduction in the subsurface transport of nitrogen within the fourth-order catchments was 24%. The approach and results are planned to be projected into river basin management plans for the Vltava River basin. Nevertheless, a thorough reassessment of current legislations and strategies is needed to enable the broader adoption of mitigation measures and sustainable management patterns within agricultural landscapes.
", "keywords": ["2. Zero hunger", "Non-point agricultural water pollution", "13. Climate action", "11. Sustainability", "Drainage water management", "catchment prioritization; critical point; drainage water management; non-point agricultural water pollution; surface runoff; water retention", "Water retention", "15. Life on land", "Catchment prioritization", "Surface runoff", "6. Clean water", "12. Responsible consumption", "Critical point"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/15/6/1247/pdf"}, {"href": "https://www.mdpi.com/2073-4441/15/6/1247/pdf"}, {"href": "https://doi.org/10.3390/w15061247"}, {"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/w15061247", "name": "item", "description": "10.3390/w15061247", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/w15061247"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-03-22T00:00:00Z"}}, {"id": "10.3390/w15091739", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:22:05Z", "type": "Journal Article", "created": "2023-05-01", "title": "Developing an Open-Source IoT Platform for Optimal Irrigation Scheduling and Decision-Making: Implementation at Olive Grove Parcels", "description": "Climate change has reduced the availability of good quality water for agriculture, while favoring the proliferation of harmful insects, especially in Mediterranean areas. Deploying IoT-based systems can help optimize water-use efficiency in agriculture and address problems caused by extreme weather events. This work presents an IoT-based monitoring system for obtaining soil moisture, soil electrical conductivity, soil temperature and meteorological data useful in irrigation management and pest control. The proposed system was implemented and evaluated for olive parcels located both at coastal and inland areas of the eastern part of Crete; these areas face severe issues with water availability and saltwater intrusion (coastal region). The system includes the monitoring of soil moisture and atmospheric sensors, with the aim of providing information to farmers for decision-making and at the future implementation of an automated irrigation system, optimizing the use of water resources. Data acquisition was performed through smart sensors connected to a microcontroller. Data were received at a portal and made available on the cloud, being monitored in real-time through an open-source IoT platform. An e-mail alert was sent to the farmers when soil moisture was lower than a threshold value specific to the soil type or when climatic conditions favored the development of the olive fruit fly. One of the main advantages of the proposed decision-making system is a low-cost IoT solution, as it is based on open-source software and the hardware on edge devices consists of widespread economic modules. The reliability of the IoT-based monitoring system has been tested and could be used as a support service tool offering an efficient irrigation and pest control service.
", "keywords": ["2. Zero hunger", "0106 biological sciences", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "agricultural water management; decision support system; soil moisture; EC; smart sensor; Internet of Things; remote sensing", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "6. Clean water"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/15/9/1739/pdf"}, {"href": "https://doi.org/10.3390/w15091739"}, {"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/w15091739", "name": "item", "description": "10.3390/w15091739", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/w15091739"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-04-30T00:00:00Z"}}, {"id": "10.4121/713f3049-9cf6-4bfc-acb7-6e5bbb28d91e.v1", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:22:14Z", "type": "Dataset", "title": "Serious game AgriLemma", "description": "Who says sustainable water retention and nutrient recycling solutions cannot be fun? AgriLemma is a serious game developed by researchers at TU Delft as part of the EU project WATERAGRI to help stakeholders better understand new technologies being developed and demonstrated. The overall goal of AgriLemma is to engage stakeholders and increase awareness/adoption of water retention and nutrient retention solutions. The game is targeted primarily at farmers, but can also be played by the general public and stakeholders who want to understand the challenges and trade-offs in agricultural water management. The players adopt the role of farmers in the game, who have to face the challenge of adapting to the growing pressures of climate change, water scarcity/abundance, and the institutional push for sustainable food production. Farmers have to formulate a strategy to develop their farm in a way that is not only profitable but also environmentally and socially sustainable.
This dataset provides the digital version of all the printable game materials. The background and the description of the game design can be found in the document titled WATERAGRI D1.3 - Serious Game AgriLemma - PU - FVThe document Read Me - Agrilemma game download and use presents printing instructions and a list of physical items - pawns, tokens, etc. that need to be arranged to play the game Remaining PDFs present the printable materials of the game", "keywords": ["Serious game", "Education and Training", "awareness", "Climate and Climate Change", "Environment", "dilemmas", "Land and Water Management", "Teaching and Instruction", "sustainable technologies", "Learner and Learning", "agriculture"], "contacts": [{"organization": "Mittal, Aashna, Scholten, Lisa, Kapelan, Zoran ,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.4121/713f3049-9cf6-4bfc-acb7-6e5bbb28d91e.v1"}, {"rel": "self", "type": "application/geo+json", "title": "10.4121/713f3049-9cf6-4bfc-acb7-6e5bbb28d91e.v1", "name": "item", "description": "10.4121/713f3049-9cf6-4bfc-acb7-6e5bbb28d91e.v1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.4121/713f3049-9cf6-4bfc-acb7-6e5bbb28d91e.v1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-04-25T00:00:00Z"}}, {"id": "10.5281/zenodo.10959076", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:23:12Z", "type": "Dataset", "created": "2023-10-30", "title": "Knowledge gaps on trade-offs of soil carbon sequestration related to soil management strategies", "description": "The database contains 87 unique literature items (29 reviews, 42 meta-analyses, 16 original papers) describing the effect of a soil management strategy (tillage management, cropping systems, water management, cover crops, crop residues, livestock manure, slurry, compost, biochar, liming) on the trade-offs between soil carbon sequestration or SOC change and N2O emission, CH4 emission and nitrogen leaching. Since some literature items describe effects of several SMS categories, the database_summary tab comprises a total of 112 unique inputs. For each input it is indicated in the Database_summary tab if it was used as input for the 'Soil management effect assessment' in Maenhout et al. (2024) [Maenhout, P., Di Bene, C., Cayuela, M. L., Diaz-Pines, E., Govednik, A., Keuper, F., Mavsar, S., Mihelic, R., O'Toole, A., Schwarzmann, A., Suhadolc, M., Syp, A., & Valkama, E. (2024). Trade-offs and synergies of soil carbon sequestration: Addressing knowledge gaps related to soil management strategies. European Journal of Soil Science, 75(3), e13515. https://doi.org/10.1111/ejss.13515] and/or to define knowledge gaps ('Knowledge gap in tab'-column). Knowledge gaps and research recommendations are gouped per soil management strategy in different tabs in this database. Per soil management strategy, knowledge gaps are clustered per theme in groups. These themes include: the specific soil management strategy, pedoclimatic conditions, establishment of experiments, other soil management strategies, meta-analysis, modelling and other", "keywords": ["Water management", "EJP SOIL", "Climate change mitigation", "Nitrogen leaching", "CH4", "Conservation agriculture", "Cropping systems", "SOMMIT", "N2O", "Organic matter inputs", "Tillage"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10959076"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10959076", "name": "item", "description": "10.5281/zenodo.10959076", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10959076"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-05-13T00:00:00Z"}}, {"id": "10261/366355", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:25:52Z", "type": "Journal Article", "created": "2023-03-22", "title": "Slowing Down Quick Runoff\u2014A New Approach for the Delineation and Assessment of Critical Points, Contributing Areas, and Proposals of Measures to Reduce Non-Point Water Pollution from Agricultural Land", "description": "Non-point sources of water pollution caused by agricultural crop production are a serious problem in Czechia, at present. This paper describes a new approach for the mutual delineation and assessment of different pollution sources where the critical points method is used to identify the origin of contamination and the source areas. The critical points, i.e., sites presenting the entry of quick surface and drainage runoff into waters, are classified into three (for surface pollution sources using a WaTEM/SEDEM model) or four (subsurface = drainage sources via the catchment-measures need index) categories, respectively. This enabled us to prioritize the most endangered areas at different scales, ranging from the third-order catchments to very small subcatchments, and to design the appropriate combination of control measures to mitigate surface and drainage water runoff, with these being the main drivers of associated pollution. This methodology was applied to a study conducted in the Czech Republic within the entire Vltava River basin, with a total area of 27,578 km2, and utilized in depth to assess a 543 km2 catchment of the Vla\u0161imsk\u00e1 Blanice River. When the effect of the designed surface runoff control measures system had been assessed for sediment transport through outlet profiles of the fourth-order catchments, the average reduction reached 43%. The total reduction in the subsurface transport of nitrogen within the fourth-order catchments was 24%. The approach and results are planned to be projected into river basin management plans for the Vltava River basin. Nevertheless, a thorough reassessment of current legislations and strategies is needed to enable the broader adoption of mitigation measures and sustainable management patterns within agricultural landscapes.
", "keywords": ["2. Zero hunger", "Non-point agricultural water pollution", "13. Climate action", "11. Sustainability", "Drainage water management", "catchment prioritization; critical point; drainage water management; non-point agricultural water pollution; surface runoff; water retention", "Water retention", "15. Life on land", "Catchment prioritization", "Surface runoff", "6. Clean water", "12. Responsible consumption", "Critical point"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/15/6/1247/pdf"}, {"href": "https://www.mdpi.com/2073-4441/15/6/1247/pdf"}, {"href": "https://doi.org/10261/366355"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/366355", "name": "item", "description": "10261/366355", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/366355"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-03-22T00:00:00Z"}}, {"id": "10.5281/zenodo.14789120", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:23:49Z", "type": "Report", "title": "Deliverable D2.4 - Guidance document on fate, transport and exposure for PMT's in the environment", "description": "Executive Summary Models are used in exposure assessment for a number of reasons. They can help map the temporal and spatial variability of exposure, exposure pathways and exposure routes, and support risk assessment for water bodies where monitoring is lacking. They can be used to identify sources and pathways responsible for current exposures and to assess the impact of potential future developments of persistent, mobile, and toxic chemicals (PMT) exposures in surface water and groundwater. Such scenario assessment may include changes in PMT use, effects of pollution control measures, accidental spills or climate change. The scope of this document, produced as part of the H2020 PROMISCES project, is to provide guidance for applications of models with a specific focus on model trains for the assessment of exposure to PMTs as part of the predictive risk assessment related to surface and groundwater. This document explains the basic concepts of specific models and how best to use them in modeltrains in the framework of a tiered approach. The intention is to inform users and interested stakeholders about what needs to be considered when using different methods, what is the best use of specific models, what are the best combinations in model trains and what are their current limitations. The guidance document presents (i) \u201cscreening level\u201d models for the assessment of regional exposure of groundwater from soil pollution and for the assessment of general exposure of air, soil and water at local, regional or global scales, (ii) spatial and temporal explicit approaches for the identification of pollution plumes in the soil-groundwater continuum and (iii) model train applications for the catchment \u2013 river \u2013 river bank filtration \u2013 drinking water continuum. Exposure of surface water and groundwater to PMT depends on the use patterns and the environmental fate of the chemicals. Emission, fate and transport models incorporate driving factors into documented algorithms. The extent to which a substance persists in surface water can, for instance, be calculated with the \u201cSimpleBox - Aquatic Persistence Dashboard\u201d, based on its physical-chemical characteristics. The presented approach for deriving generic risk limits for soils shows that, depending on regional variations in geo(hydro)logical conditions, the high mobility of some PFAS could lead to strict requirements for materials applied on soil. For the soil-groundwater continuum, a novel model train is presented which accounts for the main physical and chemical processes controlling the fate and transport of PFAS. For sorption and degradation reactions, several formalisms can be used, allowing one to select the most appropriate according to the PFAS molecular properties and the characteristics of the simulateddomain. The results issued from these modelling applications indicate the key role of correctly identifying the main physical, chemical and biological processes controlling fate and transport of PFAS in the studied domain to build a robust conceptual model. To increase the robustness of the model, a thorough model calibration must be performed, preferably using time seriesmeasurements of the PFAS concentration in the pore solution at different locations of the contaminated site. The results confirm the key role of the unsaturated zone in the transfer and long-term migration of PFAS. Nonlinearity and nonideality of sorption reactions were expected for a broad range of PFAS, suggesting using more complex numerical formalism than linear isotherms. Considering the key role of capillary fringe displacement on PFAS transport in the unsaturated zone, themodel train seems to be very efficient in performing PFAS simulations, as it can explicitly describe water flow and solute transport at the interface between the unsaturated and saturated zones, avoiding the main pitfall encountered in other numerical approaches. The combination of stand-alone models in model trains expands the scope that can be covered in the context of a catchment \u2013 river \u2013 riverbank filtration \u2013 drinking water continuum for exposure assessment of surface waters and bank filtered drinking water. Model trains can combine individual models either in a complementary way or in a sequence. A complementary combination may either compare models of different complexity to find out which level of complexity (and associated effort) is needed to answer which questions, or may compare different models with their different strengths and weaknesses in parallel to assess uncertainties and/or use models for scenario evaluation according to their specific capabilities. A sequential combination facilitates a broader application in terms of content and at different spatial resolutions. Clearly defined interfaces are essential for a successful implementation. Examples of model trains for selected PFAS are presented for the catchment-river interaction in the urban context of the Berlin case and for the whole catchment \u2013 river \u2013 riverbank filtration \u2013 drinking water continuum on the scale of the Upper Danube Basin. The Berlin case demonstrates the application of the sequential model train by combining a city emission model with a city surface water fate and transport model to assess the resulting exposure to PFAS in the city surface waters. The Danube case demonstrates the application of a sequential model train for exposure assessment of bank filtered drinking water by combining large-scale catchment-scale emission models with different types of bank filtration fate and transport models for specific locations in the catchment. In addition, it also demonstrates complementary application by comparing emission models with different strengths and weaknesses for the assessment of multiple scenarios on the catchment scale and different levels of complexity for the fate and transport modelling of bank filtration. The model train has been successfully applied for 10 different PFAS-substances including the assessment of a large range of scenarios. Current limitations for exposure assessment of PFAS at river basin scale require improvement in scientific understanding as well as additional efforts in administrative data collection and inventory development. Current results of the exposure assessment show the very high relevance of legacy pollution from use of fire-fighting foams or from old municipal landfills. On the administrative level, there is a strong need for improved identification and harmonized inventorying of contaminated sites at national and international (EU) level. The lack of robust, openly available information on production, import-export and therefore use volumes of PFAS at national and EU level is strongly hampering exposure assessment. A major effort is urgently needed to provide this information, as it is decisive for a sound environmental exposure assessment, not only for surface water and groundwater. In regard to scientific advances, there is a need for more and better understanding of the extent of local groundwater pollution, particularly due to the application of fire-fighting foams or to the presence of municipal landfills. Further improvement of the scientific knowledge about the fate of PFAS in the environment, including their partitioning between different phases (air,water, solids) and the transformation of the so called \u201cprecursors\u201d into stable \u201cend-products\u201d like PFOA, PFOS and short-chain substances is needed to enlarge the number of PFAS that can be included into the exposure assessment. A reproducible and standardised analytical parameter for \u201ctotal PFAS\u201d or even \u201ctotal toxicity of PFAS\u201d would be needed to address all relevant PFAS in a combined way as it is a focus of Workpackage 1 of the H2020 PROMISCES project (Togola et al. 2024; Behnisch et al. 2024).", "keywords": ["Groundwater/chemistry", "Groundwater pollution", "emission modelling", "Surface water management", "Groundwater quality", "Per- and polyfluorinated substances (PFAS)", "environmental transport modelling", "Surface water", "environmental fate modelling", "Groundwater endangering"], "contacts": [{"organization": "Zessner, Matthias, Baldwin, Dwight, del Val Alonso, Laura, Derx, Julia, Devau, Nicolas, Janssen, Gijs, Jou Claus, S\u00f2nia, Kittlaus, Steffen, Knoche, Franziska, Liu, Meiqi, Markus, Arjen, Valstar, Johan, Meesters, Joris, Meijers, Erwin, Obeid, Ali A.A., Oudega, Thomas James, Pathak, Devanshi, Sprenger, Christoph, van Gils, Jos, Wicke, Daniel, Wintersen, Arjen, Zhiteneva, Veronika, Groot, Hans,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14789120"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14789120", "name": "item", "description": "10.5281/zenodo.14789120", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14789120"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-02-28T00:00:00Z"}}, {"id": "10261/394505", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:25:54Z", "type": "Journal Article", "created": "2024-06-07", "title": "Trade\u2010offs and synergies of soil carbon sequestration: Addressing knowledge gaps related to soil management strategies", "description": "Abstract
Soil organic carbon (SOC) sequestration in agricultural soils is an important tool for climate change mitigation within the EU soil strategy for 2030 and can be achieved via the adoption of soil management strategies (SMS). These strategies may induce synergistic effects by simultaneously reducing greenhouse gas (GHG) emissions and/or nitrogen (N) leaching. In contrast, other SMS may stimulate emissions of GHG such as nitrous oxide (N2O) or methane (CH4), offsetting the climate change mitigation gained via SOC sequestration. Despite the importance of understanding trade\uffe2\uff80\uff90offs and synergies for selecting sustainable SMS for European agriculture, knowledge on these effects remains limited. This review synthesizes existing knowledge, identifies knowledge gaps and provides research recommendations on trade\uffe2\uff80\uff90offs and synergies between SOC sequestration or SOC accrual, non\uffe2\uff80\uff90CO2 GHG emissions and N leaching related to selected SMS. We investigated 87 peer\uffe2\uff80\uff90reviewed articles that address SMS and categorized them under tillage management, cropping systems, water management and fertilization and organic matter (OM) inputs. SMS, such as conservation tillage, adapted crop rotations, adapted water management, OM inputs by cover crops (CC), organic amendments (OA) and biochar, contribute to increase SOC stocks and reduce N leaching. Adoption of leguminous CC or specific cropping systems and adapted water management tend to create trade\uffe2\uff80\uff90offs by stimulating N2O emissions, while specific cropping systems or application of biochar can mitigate N2O emissions. The effect of crop residues on N2O emissions depends strongly on their C/N ratio. Organic agriculture and agroforestry clearly mitigate CH4 emissions but the impact of other SMS requires additional study. More experimental research is needed to study the impact of both the pedoclimatic conditions and the long\uffe2\uff80\uff90term dynamics of trade\uffe2\uff80\uff90offs and synergies. Researchers should simultaneously assess the impact of (multiple) agricultural SMS on SOC stocks, GHG emissions and N leaching. This review provides guidance to policymakers as well as a framework to design field experiments and model simulations, which can address knowledge gaps and non\uffe2\uff80\uff90intentional effects of applying agricultural SMS meant to increase SOC sequestration.Accumulation of trace elements, including heavy metals, were evaluated in soil and fruits of chilli plants (Capsicum annuum L.) grown under both laboratory-controlled and semi-controlled greenhouse location conditions. Chilli plant biomass growth in different development stages and fruit productivity were evaluated and compared with each other for the impact of growth boundary conditions and water quality effects. Treated synthetic greywaters by different operational design set-ups of floating treatment wetland systems were recycled for watering chillies in both locations. Effluents of each individual group of treatment set-up systems were labelled to feed sets of three replicates of chilli plants in both locations. Results revealed that the treated synthetic greywater (SGW) complied with thresholds for irrigation water, except for high concentrations (HC) of phosphates, total suspended soils, and some trace elements, such as cadmium. Chilli plants grew in both locations with different growth patterns in each development stage. First blooming and high counts of flowers were observed in the laboratory. Higher fruit production was noted for greenhouse plants: 2266 chilli fruits with a total weight of 16.824 kg with an expected market value of GBP 176.22 compared to 858 chilli fruits from the laboratory with a weight of 3.869 kg and an estimated price of GBP 17.61. However, trace element concentrations were detected in chilli fruits with the ranking order of occurrence as: Mg > Ca > Na > Fe > Zn > Al > Mn > Cu > Cd > Cr > Ni > B. The highest concentrations of accumulated Cd (3.82 mg/kg), Cu (0.56 mg/kg), and Na (0.56 mg/kg) were recorded in chilli fruits from the laboratory, while greater accumulations of Ca, Cd, Cu, Mn, and Ni with concentrations of 4.73, 1.30, 0.20, 0.21, and 0.24 mg/kg, respectively, were linked to fruits from the greenhouse. Trace elements in chilli plant soils followed the trend: Mg > Fe > Al > Cr > Mn > Cd > Cu > B. The accumulated concentrations in either chilli fruits or the soil were above the maximum permissible thresholds, indicating the need for water quality improvements.
", "keywords": ["agricultural water management", "2. Zero hunger", "soil pollution", "S", "greywater recycling", "Agriculture", "Capsicum annuum L.", "15. Life on land", "01 natural sciences", "6. Clean water", "12. Responsible consumption", "11. Sustainability", "14. Life underwater", "constructed floating wetland", "heavy metal accumulation", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://usir.salford.ac.uk/id/eprint/61848/1/agronomy-11-01817-v2.pdf"}, {"href": "https://orca.cardiff.ac.uk/id/eprint/150458/1/agronomy-11-01817-v3.pdf"}, {"href": "http://www.mdpi.com/2073-4395/11/9/1817/pdf"}, {"href": "https://www.mdpi.com/2073-4395/11/9/1817/pdf"}, {"href": "https://doi.org/10.5281/zenodo.16841981"}, {"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": "10.5281/zenodo.16841981", "name": "item", "description": "10.5281/zenodo.16841981", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.16841981"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-09-10T00:00:00Z"}}, {"id": "10.5281/zenodo.7920674", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:24:48Z", "type": "Report", "title": "Earth Observation and Machine Learning for estimating the irrigation potential of municipalities in Vojvodina, Serbia", "description": "Open AccessIrrigation agriculture has an indispensable role in global food production. In order to fulfill the rising demand for food and water perceived in reports issued by the United Nations and other organizations in the last couple of years, more attention needs to be given to cropland and water management. Knowing the spatial distribution of irrigated areas, amount of irrigation surface, size and number of canals and other water bodies are essential for planning irrigation development. To extract this knowledge for the main agricultural region in Serbia we utilized earth observation (EO) data, collected ground truth data needed to train machine learning (ML) and quantified irrigation potential from a network of canals. Our research was split into two parts: 1) detection of irrigated fields and 2) estimating the utilization of resources based on detected irrigated areas and the density of canals that could potentially be used to irrigate arable land. Firstly, we used EO and an ML-based approach to map irrigation fields in Vojvodina Province, Serbia, in order to assess the current situation at the municipality level. As the most irrigated crops in Vojvodina are maize, soybean, and sugar beet, the ground truth data, considering if the parcel was irrigated or not, was collected. Sentinel-2 satellite imagery was acquired from the official Sentinel hub. Both ground truth data and satellite imagery covered four years (2017, 2020-2022) characterized by different weather conditions. This data was then used for training the Random Forest algorithms, separately for each crop type, and then the models were run for the whole territory of Vojvodina. The final products are 10 m resolution binary maps of irrigated maize, soya, and sugar beet. With the overall accuracy (2017: 0.86; 2020: 0.73; 2021: 0.72; 2022: 0.81) results showed that this method could be successfully used for detecting different irrigation fields: center pivot, linear systems as well as typhoons. Second part of the research focused on the utilization of the irrigation potential. To be precise, an indication of how much irrigation is practiced in a particular municipality, with respect to the distribution of canal network and current irrigation status, can be given. The final output is the ratio between the density of the canal network and the total irrigated area per municipality. Results showed that Ba\u010dka (southwestern part of Vojvodina) has the highest ratio between canal network density and irrigated agriculture where 14 municipalities have more than 100 km of canal network from which 9 municipalities irrigate more than 350 ha of these three crops. However, the other two regions, especially Banat with 35 municipalities with more than 100 km of canals, have a significant potential for irrigation development. Generated maps indicate the potential for irrigation of agricultural land considering only the current situation with irrigation fields and an available canal network. Obtained results can serve as a valuable initial step for decision-makers in irrigation water management planning.", "keywords": ["2. Zero hunger", "13. Climate action", "Irrigation", " Earth Observation", " Machine Learning", " Water Management", " Agriculture", "15. Life on land", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.7920674"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.7920674", "name": "item", "description": "10.5281/zenodo.7920674", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.7920674"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-04-24T00:00:00Z"}}, {"id": "10.5281/zenodo.7920675", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:24:48Z", "type": "Report", "title": "Earth Observation and Machine Learning for estimating the irrigation potential of municipalities in Vojvodina, Serbia", "description": "Open AccessIrrigation agriculture has an indispensable role in global food production. In order to fulfill the rising demand for food and water perceived in reports issued by the United Nations and other organizations in the last couple of years, more attention needs to be given to cropland and water management. Knowing the spatial distribution of irrigated areas, amount of irrigation surface, size and number of canals and other water bodies are essential for planning irrigation development. To extract this knowledge for the main agricultural region in Serbia we utilized earth observation (EO) data, collected ground truth data needed to train machine learning (ML) and quantified irrigation potential from a network of canals. Our research was split into two parts: 1) detection of irrigated fields and 2) estimating the utilization of resources based on detected irrigated areas and the density of canals that could potentially be used to irrigate arable land. Firstly, we used EO and an ML-based approach to map irrigation fields in Vojvodina Province, Serbia, in order to assess the current situation at the municipality level. As the most irrigated crops in Vojvodina are maize, soybean, and sugar beet, the ground truth data, considering if the parcel was irrigated or not, was collected. Sentinel-2 satellite imagery was acquired from the official Sentinel hub. Both ground truth data and satellite imagery covered four years (2017, 2020-2022) characterized by different weather conditions. This data was then used for training the Random Forest algorithms, separately for each crop type, and then the models were run for the whole territory of Vojvodina. The final products are 10 m resolution binary maps of irrigated maize, soya, and sugar beet. With the overall accuracy (2017: 0.86; 2020: 0.73; 2021: 0.72; 2022: 0.81) results showed that this method could be successfully used for detecting different irrigation fields: center pivot, linear systems as well as typhoons. Second part of the research focused on the utilization of the irrigation potential. To be precise, an indication of how much irrigation is practiced in a particular municipality, with respect to the distribution of canal network and current irrigation status, can be given. The final output is the ratio between the density of the canal network and the total irrigated area per municipality. Results showed that Ba\u010dka (southwestern part of Vojvodina) has the highest ratio between canal network density and irrigated agriculture where 14 municipalities have more than 100 km of canal network from which 9 municipalities irrigate more than 350 ha of these three crops. However, the other two regions, especially Banat with 35 municipalities with more than 100 km of canals, have a significant potential for irrigation development. Generated maps indicate the potential for irrigation of agricultural land considering only the current situation with irrigation fields and an available canal network. Obtained results can serve as a valuable initial step for decision-makers in irrigation water management planning.", "keywords": ["2. Zero hunger", "13. Climate action", "Irrigation", " Earth Observation", " Machine Learning", " Water Management", " Agriculture", "15. Life on land", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.7920675"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.7920675", "name": "item", "description": "10.5281/zenodo.7920675", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.7920675"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-04-24T00:00:00Z"}}, {"id": "10.7910/DVN/ZJMJ7K", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:25:39Z", "type": "Dataset", "created": "2018-01-01", "title": "Predicted soil organic carbon (SOC) content (g/kg) and SOC stock (t/ha) in the Eastern Plains of Colombia", "description": "Open AccessMaps allocated in this repository were predicted using a digital soil mapping (DSM) approach (McBratney et al, 2003) based on random forest (Breiman, 2001). A dataset consisting of 653 geo-referenced soil points and a series of environmental covariates that represent the soil-forming factors were used in order to adjust the DSM models. Models\u2019 assessment for SOC content was performed using the 100-fold cross-validation, through the coefficient of determination (R2), root mean squared error (RMSE) and the mean error. Results showed 50.3% of the variance explained, and a RMSE and ME of 0.461 g/kg and 0.038 g/kg, respectively.", "keywords": ["digital surface models", "Eastern Plains", "carbon stock", "carbono org\u00e1nico del suelo", "Colombia", "land use mapping", "Latin America and the Caribbean", "soil", "soil organic carbon", "cartograf\u00eda del uso de la tierra", "Orinoco region", "Earth and Environmental Sciences", "digital soil mapping", "Soil and Water Management", "reconocimiento de suelos", "Multifunctional landscapes", "soil surveys"]}, "links": [{"href": "https://doi.org/10.7910/DVN/ZJMJ7K"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/ZJMJ7K", "name": "item", "description": "10.7910/DVN/ZJMJ7K", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/ZJMJ7K"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10261/227227", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:25:47Z", "type": "Journal Article", "created": "2020-06-05", "title": "Water modelling approaches and opportunities to simulate spatial water variations at crop field level", "description": "Open AccessFunding from the European Commission under project SHui \u2013 Grant agreement ID 773903.", "keywords": ["Water management", "0106 biological sciences", "2. Zero hunger", "Precision agriculture", "Spatial modelling", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "Water-balance", "15. Life on land", "Crop-modelling", "01 natural sciences"]}, "links": [{"href": "https://doi.org/10261/227227"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20Water%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/227227", "name": "item", "description": "10261/227227", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/227227"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-10-01T00:00:00Z"}}, {"id": "10396/24059", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:25:56Z", "type": "Report", "title": "Spatial crop-water variations in rainfed wheat systems: From simulation modelling to site-specific management", "description": "Open AccessEn campos en pendiente, los cultivos de secano experimentan diferentes grados de estr\u00e9s h\u00eddrico causados por variaciones espaciales de la humedad en el suelo, y los rendimientos var\u00edan espacialmente dentro del mismo campo. Esta variabilidad supone una oportunidad para la agricultura de precisi\u00f3n a trav\u00e9s del manejo espacialmente variable. Sin embargo, si bien se han logrado avances significativos en los aspectos de la ingenier\u00eda de la variaci\u00f3n espacial, como el aumento de la resoluci\u00f3n espacial de los sistemas de datos y la automatizaci\u00f3n, se ha avanzado mucho menos en relaci\u00f3n a la simulaci\u00f3n de las respuestas de los cultivos a las variaciones espaciales de la humedad y los flujos h\u00eddricos. La mayor\u00eda de los estudios sobre las brechas de rendimiento de secano ignoran la variabilidad dentro de la parcela. Sin embargo, el uso de modelos de simulaci\u00f3n de cultivos como medida de apoyo a los sistemas de gesti\u00f3n espacialmente variable, requiere que los enfoques de modelaci\u00f3n espacial del agua sean capaces de representar y simular con precisi\u00f3n la variaci\u00f3n dentro del campo de los factores relacionados con el agua disponible y la respuesta de los cultivos. Esta tesis doctoral representa una nueva contribuci\u00f3n a la agronom\u00eda de los sistemas agr\u00edcolas de secano, con \u00e9nfasis en el papel que juegan los flujos de agua en zonas de topograf\u00eda ondulada en la determinaci\u00f3n de las variaciones espaciales del rendimiento del trigo. La tesis se ha desarrollado en cap\u00edtulos que se complementan siguiendo un enfoque integrador. La presente tesis doctoral revis\u00f3 algunos de los modelos hidrol\u00f3gicos y de cultivo m\u00e1s ampliamente adoptados y explor\u00f3 nuevas oportunidades para simular variaciones espaciales del agua a nivel de campo mediante la incorporaci\u00f3n del flujo lateral de escorrent\u00eda superficial y sub-superficial en las zonas de menor elevaci\u00f3n del campo. Desde este punto de vista, se evaluaron las variaciones espaciales de las brechas de rendimiento en trigo de secano, en C\u00f3rdoba, Espa\u00f1a, que son causadas por flujos laterales de los puntos altos a los bajos. Desde una perspectiva agron\u00f3mica, las entradas laterales del agua contribuyen a las variaciones de rendimiento en los sistemas de producci\u00f3n de trigo de secano como el que se ha estudiado en el \u00e1mbito de esta tesis. La contribuci\u00f3n neta de estos flujos a las variaciones espaciales de los rendimientos potenciales de secano se mostr\u00f3 relevante pero altamente irregular entre diferentes a\u00f1os. A pesar de la variabilidad interanual, t\u00edpica de las condiciones mediterr\u00e1neas, la existencia de dichos flujos hizo que los rendimientos de trigo simulados variaran un +16% desde las \u00e1reas m\u00e1s elevadas de un campo hacia abajo. El rendimiento medio observado oscil\u00f3 entre 1.3 y 5.4 Mg de rendimiento de grano (GY) ha\u22121. Las respuestas de rendimiento neto al flujo lateral, cuenca abajo, fueron en promedio 383 kg de rendimiento de grano (GY) ha\u22121, y la productividad marginal de agua de LIF alcanz\u00f3 24.6 (\u00b113.2) kg GY ha\u22121 mm\u22121 en a\u00f1os de m\u00e1xima capacidad de respuesta. Dichos a\u00f1os de m\u00e1xima capacidad de respuesta se asociaron con bajas precipitaciones durante las etapas vegetativas del cultivo en combinaci\u00f3n con flujos laterales en las etapas posteriores a la floraci\u00f3n. En condiciones de campo, estas diferencias solo fueron visibles en uno de los dos a\u00f1os experimentales. Las implicaciones econ\u00f3micas asociadas con m\u00faltiples escenarios de tasa de aplicaci\u00f3n variable de nitr\u00f3geno se exploraron a trav\u00e9s de un caso de estudio y se propusieron varias recomendaciones. Tanto el tama\u00f1o de la finca (el \u00e1rea sembrada anual) como la estructura topogr\u00e1fica afectaron la din\u00e1mica de los rendimientos de la inversi\u00f3n. Bajo las condiciones actuales de pol\u00edtica agr\u00edcola, y de precios, la adopci\u00f3n de la tasa de aplicaci\u00f3n variable tendr\u00eda una ventaja econ\u00f3mica en fincas similares a la del caso de estudio con un \u00e1rea sembrada anual superior a 567 ha a\u00f1o\u22121. Sin embargo, las tendencias actuales en los precios de la energ\u00eda, los costes de transporte y los impactos tanto en los precios de los cereales como en los costes de los fertilizantes mejoran la viabilidad de la adopci\u00f3n de esta tecnolog\u00eda para una poblaci\u00f3n m\u00e1s amplia de tipos de fincas. La rentabilidad de la adopci\u00f3n de aplicaci\u00f3n variable de nitr\u00f3geno mejora bajo dichos escenarios y, en ausencia de apoyos adicionales, el \u00e1rea m\u00ednima para la adopci\u00f3n de aplicaci\u00f3n variable disminuye hasta un rango de 68-177 ha a\u00f1o\u22121 de \u00e1rea de siembra. La combinaci\u00f3n de aumentos de precios con la introducci\u00f3n de un subsidio adicional asociado al \u00e1rea de cultivo podr\u00eda reducir sustancialmente el umbral de adopci\u00f3n hasta 46 ha a\u00f1o\u22121, lo que hace que la tecnolog\u00eda sea econ\u00f3micamente viable para una poblaci\u00f3n mucho m\u00e1s amplia de agricultores.", "keywords": ["Agricultural crops", "Water management", "Artificial Neural Network", "Precision agriculture", "Crop modelling", "NDVI", "Spatial modelling", "Machine learning", "Water balance"], "contacts": [{"organization": "Roquette Tenreiro, Tom\u00e1s", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10396/24059"}, {"rel": "self", "type": "application/geo+json", "title": "10396/24059", "name": "item", "description": "10396/24059", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10396/24059"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "3200304843", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:27:36Z", "type": "Journal Article", "created": "2021-09-10", "title": "Assessment of Capsicum annuum L. Grown in Controlled and Semi-Controlled Environments Irrigated with Greywater Treated by Floating Wetland Systems", "description": "Accumulation of trace elements, including heavy metals, were evaluated in soil and fruits of chilli plants (Capsicum annuum L.) grown under both laboratory-controlled and semi-controlled greenhouse location conditions. Chilli plant biomass growth in different development stages and fruit productivity were evaluated and compared with each other for the impact of growth boundary conditions and water quality effects. Treated synthetic greywaters by different operational design set-ups of floating treatment wetland systems were recycled for watering chillies in both locations. Effluents of each individual group of treatment set-up systems were labelled to feed sets of three replicates of chilli plants in both locations. Results revealed that the treated synthetic greywater (SGW) complied with thresholds for irrigation water, except for high concentrations (HC) of phosphates, total suspended soils, and some trace elements, such as cadmium. Chilli plants grew in both locations with different growth patterns in each development stage. First blooming and high counts of flowers were observed in the laboratory. Higher fruit production was noted for greenhouse plants: 2266 chilli fruits with a total weight of 16.824 kg with an expected market value of GBP 176.22 compared to 858 chilli fruits from the laboratory with a weight of 3.869 kg and an estimated price of GBP 17.61. However, trace element concentrations were detected in chilli fruits with the ranking order of occurrence as: Mg > Ca > Na > Fe > Zn > Al > Mn > Cu > Cd > Cr > Ni > B. The highest concentrations of accumulated Cd (3.82 mg/kg), Cu (0.56 mg/kg), and Na (0.56 mg/kg) were recorded in chilli fruits from the laboratory, while greater accumulations of Ca, Cd, Cu, Mn, and Ni with concentrations of 4.73, 1.30, 0.20, 0.21, and 0.24 mg/kg, respectively, were linked to fruits from the greenhouse. Trace elements in chilli plant soils followed the trend: Mg > Fe > Al > Cr > Mn > Cd > Cu > B. The accumulated concentrations in either chilli fruits or the soil were above the maximum permissible thresholds, indicating the need for water quality improvements.
", "keywords": ["agricultural water management", "2. Zero hunger", "soil pollution", "S", "greywater recycling", "Agriculture", "Capsicum annuum L.", "15. Life on land", "01 natural sciences", "6. Clean water", "12. Responsible consumption", "11. Sustainability", "14. Life underwater", "constructed floating wetland", "heavy metal accumulation", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://usir.salford.ac.uk/id/eprint/61848/1/agronomy-11-01817-v2.pdf"}, {"href": "https://orca.cardiff.ac.uk/id/eprint/150458/1/agronomy-11-01817-v3.pdf"}, {"href": "http://www.mdpi.com/2073-4395/11/9/1817/pdf"}, {"href": "https://www.mdpi.com/2073-4395/11/9/1817/pdf"}, {"href": "https://doi.org/3200304843"}, {"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": "3200304843", "name": "item", "description": "3200304843", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3200304843"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-09-10T00:00:00Z"}}, {"id": "20.500.11769/552491", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:26:36Z", "type": "Journal Article", "created": "2022-08-18", "title": "Assessing almond response to irrigation and soil management practices using vegetation indexes time-series and plant water status measurements", "description": "Current water scarcity scenario has led to the implementation of sustainable agricultural practices intended to improve water use efficiency. The present work evaluates during three agricultural campaigns (2018-2020) the response of a young almond orchard to two management practices in terms by combining remote sensing indexes (Normalized Difference Vegetation Index, NDVI; and Soil Adjusted Vegetation Indexes, SAVI) and physiological/ morphological measurement (stem water potential, \u03a8stem; trunk perimeter and canopy diameter). The management practices included (I) sustained deficit irrigation and (II) soil management. Severe deficit irrigation resulted in lower vegetation indexes (VI) values, \u03a8stem and tree dimensions (13 %, 23 % and 14 % lower, respectively) than those obtained for full irrigation strategy; whereas moderate deficit irrigation did not affect any of the parameters analysed. The presence of vegetation cover in the inter-row resulted in a VIs increase (19-42 %) and in lower tree dimensions (reductions of 7-8 % for trunk perimeter and 0.34-0.37 m for canopy diameter) when compared to bare soil treatment, but did not have any influence on \u03a8stem. The present study proves the suitability of remote sensing and physiological measurements for assessing almond response to the different management practices.", "keywords": ["0106 biological sciences", "Soil management", "Almonds", "F06 Irrigation", "01 natural sciences", "12. Responsible consumption", "Vegetation index", "Sentinel 2", "Remote sensing sustainable agriculture", "P33 Soil chemistry and physics", "F40 Plant ecology", "2. Zero hunger", "precision agriculture", "Precision agriculture", "Sustainable agriculture", "Water use efficiency", "Vegetation cover", "F07 Soil cultivation", "04 agricultural and veterinary sciences", "Remote sensing", "15. Life on land", "Tree canopy", "F60 Plant physiology and biochemistry", "6. Clean water", "Water management", "P30 Soil science and management", "P10 Water resources and management", "0401 agriculture", " forestry", " and fisheries", "Sentinel-2"]}, "links": [{"href": "https://www.iris.unict.it/bitstream/20.500.11769/552491/2/Agriculture%2c%20ecosystems%20and%20environment%202022.pdf"}, {"href": "https://doi.org/20.500.11769/552491"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agriculture%2C%20Ecosystems%20%26amp%3B%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.11769/552491", "name": "item", "description": "20.500.11769/552491", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.11769/552491"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-11-01T00:00:00Z"}}, {"id": "2288664970", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:26:55Z", "type": "Journal Article", "created": "2016-03-05", "title": "Comparison of remote sensing and simulated soil moisture datasets in Mediterranean landscapes", "description": "AbstractThis paper presents the comparison of three global soil moisture products (ASCAT, AMSR and SMOS) versus a land surface model over a region representative of several Mediterranean landscapes located in the Northeast of the Iberian Peninsula. Our approach has been for agricultural and water management applications at the regional and local scale. Despite being a rather small area, we were able to observe different signal behaviours corresponding to major land cover classes in Mediterranean areas i.e.: dryland and irrigated crops, forests and natural vegetation (grass-shrubs). The area also allowed assessing the impact of topography. The first result of the study is that the results are very dependent on the normalizations used to make the data comparable, thus their impact must be carefully analysed. In this study, we applied two different normalisation methods (called ZV35 and ZV) and different moving average windows (1, 10 and 30days) in order to enhance seasonal effects. Using no smoothing window, ASCAT is the soil moisture product that correlates best with the LSM over all cover classes, whatever the method. Using smoothing window, AMSR-E tends to outperform other soil moisture products with the ZV method. The ZV35 method is not able to identify a small heavily irrigated area. The reason for these different results is that ZV35, tends to eliminate the monthly scale soil moisture memory and therefore becomes more sensitive to precipitation and less sensitive to the monthly evolution of superficial soil moisture. The comparison shows in general good agreement for all soil moisture products with the LSM on the temporal series simulated over flat, non irrigated areas which are not close to the sea. SMOS has difficulties in areas close to the sea and in areas with steep relief and the current version of the L2 Operational Algorithm (V5.51) depicts few values in forested areas. ASCAT, in its turn, shows some limitations over agricultural and natural vegetation where it shows an increase of soil moisture from June to October probably due to increase of penetration depth in dry soil moisture conditions. AMSR-E LPRM shows a clear vegetation cycle over all the land cover classes. From all the remote sensing products, SMOS is the only one able to see irrigation and the only that does not show clear vegetation or roughness effects. In this study, we were able to assess the impact of higher resolution soil moisture products to map irrigated areas.", "keywords": ["2. Zero hunger", "0207 environmental engineering", "Soil Science", "Agriculture", "Geology", "AMSR-E", "02 engineering and technology", "15. Life on land", "16. Peace & justice", "01 natural sciences", "6. Clean water", "Water management", "ASCAT", "13. Climate action", "Regional scale", "LSM", "Soil moisture", "Computers in Earth Sciences", "Irrigation", "SMOS", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/2288664970"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing%20of%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2288664970", "name": "item", "description": "2288664970", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2288664970"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-07-01T00:00:00Z"}}, {"id": "3033086727", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:27:22Z", "type": "Journal Article", "created": "2020-06-05", "title": "Water modelling approaches and opportunities to simulate spatial water variations at crop field level", "description": "Open AccessFunding from the European Commission under project SHui \u2013 Grant agreement ID 773903.", "keywords": ["Water management", "0106 biological sciences", "2. Zero hunger", "Precision agriculture", "Spatial modelling", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "Water-balance", "15. Life on land", "Crop-modelling", "01 natural sciences"]}, "links": [{"href": "https://doi.org/3033086727"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20Water%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3033086727", "name": "item", "description": "3033086727", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3033086727"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-10-01T00:00:00Z"}}, {"id": "oai:digital.csic.es:10261/227227", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:35:07Z", "type": "Report", "title": "Water modelling approaches and opportunities to simulate spatial water variations at crop field level", "description": "Considerable spatial variability in soil hydraulic properties exists within a field, even in those considered homogeneous. Spatial variability of water as a major driver of crop heterogeneity gains particular relevance within the context of precision agriculture, but modelling has devoted insufficient efforts to scale up from point to field the associated \u2018cause-effect\u2019 relations of water spatial variations. Seven crop simulation models (WOFOST, DSSAT, APSIM, DAISY, STICS, AquaCrop and MONICA) and five hydrologic models (HYDRUS-1D, HYDRUS-2D, SWAP, MIKE-SHE and SWIM) were selected and their water modelling approaches were systematically reviewed for comparison. Crop models rely mainly on \u2018discrete\u2019 and empirical approaches for modelling soil water movement while hydrologic models emphasize more \u2018continuous\u2019 and mechanistic ones. Combining both types of models may not be the best way forward as none of the models consider all of the processes which are relevant for the simulation of spatial variations. Hydrologic models pay more attention to spatially variable water processes than crop simulation models, although their focus is on scales higher than the field which is the relevant scale for assessing the influence of such variations on crop behaviour. Opportunities for progress in the spatial simulation of water processes at field level will probably come from two different directions. One implying a stronger synergism between both model families by using continuous-type approaches to simulate some mechanisms in existing crop models, and the other through the integration of lateral flows in the simulation of discrete water movement approaches. Funding from the European Commission under project SHui \u2013 Grant agreement ID 773903.", "keywords": ["Water management", "Precision agriculture", "Spatial modelling", "Water-balance", "Crop-modelling"], "contacts": [{"organization": "Tenreiro, Tom\u00e1s R., Garc\u00eda Vila, Margarita, G\u00f3mez Calero, Jos\u00e9 Alfonso, Jim\u00e9nez-Berni, Jos\u00e9 A., Fereres Castiel, El\u00edas,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/oai:digital.csic.es:10261/227227"}, {"rel": "self", "type": "application/geo+json", "title": "oai:digital.csic.es:10261/227227", "name": "item", "description": "oai:digital.csic.es:10261/227227", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/oai:digital.csic.es:10261/227227"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "oai:helvia.uco.es:10396/24059", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:35:09Z", "type": "Report", "title": "Spatial crop-water variations in rainfed wheat systems: From simulation modelling to site-specific management", "description": "Open AccessEn campos en pendiente, los cultivos de secano experimentan diferentes grados de estr\u00e9s h\u00eddrico causados por variaciones espaciales de la humedad en el suelo, y los rendimientos var\u00edan espacialmente dentro del mismo campo. Esta variabilidad supone una oportunidad para la agricultura de precisi\u00f3n a trav\u00e9s del manejo espacialmente variable. Sin embargo, si bien se han logrado avances significativos en los aspectos de la ingenier\u00eda de la variaci\u00f3n espacial, como el aumento de la resoluci\u00f3n espacial de los sistemas de datos y la automatizaci\u00f3n, se ha avanzado mucho menos en relaci\u00f3n a la simulaci\u00f3n de las respuestas de los cultivos a las variaciones espaciales de la humedad y los flujos h\u00eddricos. La mayor\u00eda de los estudios sobre las brechas de rendimiento de secano ignoran la variabilidad dentro de la parcela. Sin embargo, el uso de modelos de simulaci\u00f3n de cultivos como medida de apoyo a los sistemas de gesti\u00f3n espacialmente variable, requiere que los enfoques de modelaci\u00f3n espacial del agua sean capaces de representar y simular con precisi\u00f3n la variaci\u00f3n dentro del campo de los factores relacionados con el agua disponible y la respuesta de los cultivos. Esta tesis doctoral representa una nueva contribuci\u00f3n a la agronom\u00eda de los sistemas agr\u00edcolas de secano, con \u00e9nfasis en el papel que juegan los flujos de agua en zonas de topograf\u00eda ondulada en la determinaci\u00f3n de las variaciones espaciales del rendimiento del trigo. La tesis se ha desarrollado en cap\u00edtulos que se complementan siguiendo un enfoque integrador. La presente tesis doctoral revis\u00f3 algunos de los modelos hidrol\u00f3gicos y de cultivo m\u00e1s ampliamente adoptados y explor\u00f3 nuevas oportunidades para simular variaciones espaciales del agua a nivel de campo mediante la incorporaci\u00f3n del flujo lateral de escorrent\u00eda superficial y sub-superficial en las zonas de menor elevaci\u00f3n del campo. Desde este punto de vista, se evaluaron las variaciones espaciales de las brechas de rendimiento en trigo de secano, en C\u00f3rdoba, Espa\u00f1a, que son causadas por flujos laterales de los puntos altos a los bajos. Desde una perspectiva agron\u00f3mica, las entradas laterales del agua contribuyen a las variaciones de rendimiento en los sistemas de producci\u00f3n de trigo de secano como el que se ha estudiado en el \u00e1mbito de esta tesis. La contribuci\u00f3n neta de estos flujos a las variaciones espaciales de los rendimientos potenciales de secano se mostr\u00f3 relevante pero altamente irregular entre diferentes a\u00f1os. A pesar de la variabilidad interanual, t\u00edpica de las condiciones mediterr\u00e1neas, la existencia de dichos flujos hizo que los rendimientos de trigo simulados variaran un +16% desde las \u00e1reas m\u00e1s elevadas de un campo hacia abajo. El rendimiento medio observado oscil\u00f3 entre 1.3 y 5.4 Mg de rendimiento de grano (GY) ha\u22121. Las respuestas de rendimiento neto al flujo lateral, cuenca abajo, fueron en promedio 383 kg de rendimiento de grano (GY) ha\u22121, y la productividad marginal de agua de LIF alcanz\u00f3 24.6 (\u00b113.2) kg GY ha\u22121 mm\u22121 en a\u00f1os de m\u00e1xima capacidad de respuesta. Dichos a\u00f1os de m\u00e1xima capacidad de respuesta se asociaron con bajas precipitaciones durante las etapas vegetativas del cultivo en combinaci\u00f3n con flujos laterales en las etapas posteriores a la floraci\u00f3n. En condiciones de campo, estas diferencias solo fueron visibles en uno de los dos a\u00f1os experimentales. Las implicaciones econ\u00f3micas asociadas con m\u00faltiples escenarios de tasa de aplicaci\u00f3n variable de nitr\u00f3geno se exploraron a trav\u00e9s de un caso de estudio y se propusieron varias recomendaciones. Tanto el tama\u00f1o de la finca (el \u00e1rea sembrada anual) como la estructura topogr\u00e1fica afectaron la din\u00e1mica de los rendimientos de la inversi\u00f3n. Bajo las condiciones actuales de pol\u00edtica agr\u00edcola, y de precios, la adopci\u00f3n de la tasa de aplicaci\u00f3n variable tendr\u00eda una ventaja econ\u00f3mica en fincas similares a la del caso de estudio con un \u00e1rea sembrada anual superior a 567 ha a\u00f1o\u22121. Sin embargo, las tendencias actuales en los precios de la energ\u00eda, los costes de transporte y los impactos tanto en los precios de los cereales como en los costes de los fertilizantes mejoran la viabilidad de la adopci\u00f3n de esta tecnolog\u00eda para una poblaci\u00f3n m\u00e1s amplia de tipos de fincas. La rentabilidad de la adopci\u00f3n de aplicaci\u00f3n variable de nitr\u00f3geno mejora bajo dichos escenarios y, en ausencia de apoyos adicionales, el \u00e1rea m\u00ednima para la adopci\u00f3n de aplicaci\u00f3n variable disminuye hasta un rango de 68-177 ha a\u00f1o\u22121 de \u00e1rea de siembra. La combinaci\u00f3n de aumentos de precios con la introducci\u00f3n de un subsidio adicional asociado al \u00e1rea de cultivo podr\u00eda reducir sustancialmente el umbral de adopci\u00f3n hasta 46 ha a\u00f1o\u22121, lo que hace que la tecnolog\u00eda sea econ\u00f3micamente viable para una poblaci\u00f3n mucho m\u00e1s amplia de agricultores.", "keywords": ["Agricultural crops", "Water management", "Artificial Neural Network", "Precision agriculture", "Crop modelling", "NDVI", "Spatial modelling", "Machine learning", "Water balance"], "contacts": [{"organization": "Roquette Tenreiro, Tom\u00e1s", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/oai:helvia.uco.es:10396/24059"}, {"rel": "self", "type": "application/geo+json", "title": "oai:helvia.uco.es:10396/24059", "name": "item", "description": "oai:helvia.uco.es:10396/24059", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/oai:helvia.uco.es:10396/24059"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "12fab437-ceba-42b8-b176-f06fcf8567f3", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-5.52, 9.4], [-5.52, 15.08], [2.4, 15.08], [2.4, 9.4], [-5.52, 9.4]]]}, "properties": {"themes": [{"concepts": [{"id": "boundaries"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}], "updated": "2020-01-27T09:46:37", "language": "eng", "title": "Burkina Faso: Livelihoods zones for Agricultural Water Management", "description": "Livelihood zoning consists in identifying areas where rural people share relatively homogeneous living conditions, on the basis of a combination of biophysical and socio-economic determinants. The main criteria to establish livelihood zones are: the predominant source of income (livelihood activities); the natural resources available to people and the way they are used; and the prevailing agroclimatic conditions that influence farming activities. Patterns of livelihood vary from one area to another, based on local factors such as climate, soil or access to markets. The analysis delineates geographical areas within which people share similar livelihood patterns: source of living, access to food, farming practices, including crops, livestock and access to markets.\nThe map of livelihood zones is the main output from a participatory mapping workshop and forms the basis for the overall AWM assessment. It describes and geographically locates the different country livelihood contexts, focusing on the main smallholders\u2019 livelihood strategies, their water-related problems and other constraints\nfor development, and the role agricultural water management plays for their livelihoods. 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