{"type": "FeatureCollection", "features": [{"id": "10.1007/s10457-016-9914-2", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:16Z", "type": "Journal Article", "created": "2016-02-27", "title": "Effects Of Acacia Seyal And Biochar On Soil Properties And Sorghum Yield In Agroforestry Systems In South Sudan", "description": "We studied the effects of Acacia seyal Del. intercropping and biochar soil amendment on soil physico-chemical properties and sorghum (Sorghum bicolor L.) yields in a two-year field experiment conducted on a silt loam site near Renk in South Sudan. A split-plot design with three replications was used. The main factor was tree-cropping system (dense acacia\u00a0+\u00a0sorghum, scattered acacia\u00a0+\u00a0sorghum, and sole sorghum) and biochar (0 and 10\u00a0Mg\u00a0ha\u22121) was the subplot factor. The two acacia systems had lower soil pH, N and higher C/N ratios compared to the sole sorghum system. Biochar significantly increased soil C, exchangeable K+ contents, field capacity and available water content, but reduced soil exchangeable Ca2+ and effective CEC, and had no effect on soil pH. Acacia intercropping significantly reduced sorghum grain yields while biochar had no significant effect on sorghum yields. The land equivalent ratio (LER) for sorghum yield was 0.3 for both acacia systems in 2011, with or without biochar, but increased in 2012 to 0.6 for the scattered acacia system when combined with biochar. The reduction in sorghum yields by the A. seyal trees was probably due to a combination of competition for water and nutrients and shading. The lack of a yield response to biochar maybe due to insufficient time or too low a dosage. Further research is needed to test for the effects of tree intercropping and biochar and their interactions on soil properties and crop yields in drylands.", "keywords": ["BOREAL LOAMY SAND", "2. Zero hunger", "AGRONOMIC PERFORMANCE", "Land equivalent ratio (LER)", "Forestry", "04 agricultural and veterinary sciences", "15. Life on land", "Agronomy", "NORTH KORDOFAN STATE", "Biochar", "BLUE-NILE REGION", "ORGANIC-MATTER", "CROP YIELDS", "BIOLOGICAL NITROGEN-FIXATION", "Savanna", "Acacia seyal", "TREES", "0401 agriculture", " forestry", " and fisheries", "NERE PARKIA-BIGLOBOSA", "Tree intercropping", "BURKINA-FASO"]}, "links": [{"href": "https://doi.org/10.1007/s10457-016-9914-2"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agroforestry%20Systems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10457-016-9914-2", "name": "item", "description": "10.1007/s10457-016-9914-2", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10457-016-9914-2"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-02-27T00:00:00Z"}}, {"id": "10.1007/s10705-004-1927-y", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:22Z", "type": "Journal Article", "created": "2005-03-15", "title": "Long-Term Effects Of Fallow Systems And Lengths On Crop Production And Soil Fertility Maintenance In West Africa", "description": "In the development of short fallow systems as alternatives to shifting cultivation in West Africa, a long-term trial was established at the International Institute of Tropical Agriculture (IITA) on an Alfisol in the forest-savanna transitional zone of southwestern Nigeria, comparing three fallow systems; natural regrowth fallow, cover crop fallow and alley cropping on soil productivity and crop yield sustainability. The natural fallow system consisted of natural regrowth of mainly Chromolaena odorata shrub as fallow vegetation. The cover crop fallow system consisted of Pueraria phaseoloides, a herbaceous legume as fallow vegetation. The alley cropping system consisted of woody hedgerows of Leucaena leucocephala as fallow vegetation. The fallow lengths were 0 (continuous cropping), 1, 2 and 3 years after 1 year of maize/cassava intercropping. Biomass produced from natural fallow and cover crop fallow was burnt during the land preparation. Fertilizer was not applied throughout the study. Without fertilizer application, maize yield declined from above 3.0 t ha\u22121 to below 0.5 t ha\u22121 during 12 years of cultivation (1989\u20132000) on a land cleared from a 23-year old secondary forest. Temporal change in cassava tuber yield was erratic. Mean maize grain yields from 1993\u20132000 except for 1999 were higher in cover crop fallow system (1.89 t ha\u22121) than in natural fallow system (1.73 t ha\u22121), while natural fallow system outperformed alley cropping system (1.46 t ha\u22121). During the above 7 years, mean cassava tuber yield in cover crop system (7.7 t ha\u22121) did not differ from natural fallow system (8.2 t ha\u22121), and both systems showed higher cassava tuber than the alley cropping system (5.7 t ha\u22121). The positive effect of fallowing on crop yields was observed for both crops in the three systems, however, insignificant effects were seen when fallow length exceeded 1 year for cover crop and alley cropping, and 2 years for natural fallow. Soil pH, organic carbon, available P and exchangeable Ca, Mg and K decreased considerably after 12 years of cultivation, even in a 3-year fallow subplot. After 12 years, soil organic carbon (SOC) within 0\u20135 cm depth in alley cropping (13.9 g kg\u22121) and natural fallow (13.7 g kg\u22121) was higher than in cover crop fallow (11.6 g kg\u22121). Whereas significant increase in SOC with either natural fallow or alley cropping was observed only after 2 or 3 years of fallow, the SOC in the 1-year fallow alley cropping subplot was higher than that in continuous cropping natural fallow subplot. It can be concluded from our study that in transforming shifting cultivation to a permanent cropping, fallow with natural vegetation (natural fallow), herbaceous legumes (cover crop fallow) and woody legumes (alley cropping) can contribute to the maintenance of crop production and soil fertility, however, length of fallow period does not need to exceed 2 years. When the fallow length is reduced to 1 year, a better alternative to natural regrowth fallow would be the cover crop for higher maize yield and alley cropping for higher soil organic matter. For fallow length of 2 years, West African farmers would be better off with the natural fallow system.", "keywords": ["0106 biological sciences", "2. Zero hunger", "Soil management", "Soil organic matter", "Crop yields", "Conservation agriculture", "Cover crops", "Nigeria", "04 agricultural and veterinary sciences", "15. Life on land", "Soil fertility", "Soil degradation", "01 natural sciences", "Soil quality", "Woody species", "Long-term trial", "West Africa", "Shifting cultivation", "Fallow", "0401 agriculture", " forestry", " and fisheries", "Field Scale"], "contacts": [{"organization": "Guanglong Tian, Guanglong Tian, B. T. Kang, F. K. Salako, P. Idinoba, G.O. Kolawole,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1007/s10705-004-1927-y"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nutrient%20Cycling%20in%20Agroecosystems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10705-004-1927-y", "name": "item", "description": "10.1007/s10705-004-1927-y", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10705-004-1927-y"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2005-02-01T00:00:00Z"}}, {"id": "10.1016/j.jclepro.2020.121922", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:17:07Z", "type": "Journal Article", "created": "2020-05-04", "title": "The influence of nutrient management on soil organic carbon storage, crop production, and yield stability varies under different climates", "description": "Abstract   Our understanding on how soil organic carbon (SOC) storage, crop yield, and yield stability are influenced by climate is limited. To critically examine this, the impact of long-term (\u226510 years) application of nutrient management practices on SOC storage, crop productivity, and yield stability were evaluated under different climatic conditions in China using a meta-analysis approach. The cropping area of China was divided into four distinct groups based on local climatic conditions (warm dry, DW; warm moist, WM; cool dry, CD; cool moist, CM). Results indicated that the impact of nutrient management practices on SOC storage, crop yield, and yield stability varies under different climatic zone in China. The use of unbalanced mineral fertilizer (UMF), and balanced mineral fertilizer (BMF) led to a loss in SOC storage by 6%, and 11% under CM climatic zone and gains in DW, WM, and CD climates. Organic fertilizers (OF), combined unbalanced mineral and organic fertilizers (UMOF), and combined balanced mineral and organic fertilizers (BMOF) were able to sustain and enhance SOC storage under all climatic conditions. However, the largest increase in SOC storage across all climates was seen for BMOF. Further, corresponding values of crop productivity and yield stability were also highest for BMOF among all the nutrient management treatments. A linear-plateau model indicated that maximal yield responsive SOC stock (Copt) levels ranged from 33.43 to 45.51\u00a0Mg\u00a0C ha\u22121 for rice (Oryza sativa), maize (Zea mays), and wheat (Triticum aestivum) production. To enhance and sustain SOC storage, and crop productivity of croplands under different climates, BMOF appears to be the most appropriate nutrient management strategy. Our findings demonstrate that it is essential to optimize nutrient management strategies according to the local climate to protect soil from SOC losses, and for achieving sustainable crop production.", "keywords": ["Yield stability", "AGRICULTURE", "550", "INCREASES", "Supplementary Data", "QH301 Biology", "Strategy and Management", "SEQUESTRATION", "CHINA", "Industrial and Manufacturing Engineering", "630", "12. Responsible consumption", "QH301", "Critical level", "SDG 13 - Climate Action", "Climate change", "SDG 7 - Affordable and Clean Energy", "Renewable Energy", "SDG 2 - Zero Hunger", "General Environmental Science", "2. Zero hunger", "Sustainability and the Environment", "Crop yields", "Soil organic carbon", "PADDY FIELDS", "Nutrient management", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water", "NITROGEN", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "STRAW", "LONG-TERM FERTILIZATION", "MATTER"]}, "links": [{"href": "https://doi.org/10.1016/j.jclepro.2020.121922"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Cleaner%20Production", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jclepro.2020.121922", "name": "item", "description": "10.1016/j.jclepro.2020.121922", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jclepro.2020.121922"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-09-01T00:00:00Z"}}, {"id": "10.1016/j.scitotenv.2018.03.277", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:17:23Z", "type": "Journal Article", "created": "2018-04-04", "title": "Spatial relationships among cereal yields and selected soil physical andchemical properties", "description": "Sandy soils occupy large area in Poland (about 50%) and in the world. This study aimed at determining spatial relationships of cereal yields and the selected soil physical and chemical properties in three study years (2001-2003) on low productive sandy Podzol soil (Podlasie, Poland). The yields and soil properties in plough and subsoil layers were determined at 72-150 points. The test crops were: wheat, wheat and barley mixture and oats. To explore the spatial relationship between cereal yields and each soil property spatial statistics was used. The best fitting models were adjusted to empirical semivariance and cross-semivariance, which were used to draw maps using kriging. Majority of the soil properties and crop yields exhibited low and medium variability (coefficient of variation 5-70%). The effective ranges of the spatial dependence (the distance at which data are autocorrelated) for yields and all soil properties were 24.3-58.5m and 10.5-373m, respectively. Nugget to sill ratios showed that crop yields and soil properties were strongly spatially dependent except bulk density. Majority of the pairs in cross-semivariograms exhibited strong spatial interdependence. The ranges of the spatial dependence varied in plough layer between 54.6m for yield\u00d7pH up to 2433m for yield\u00d7silt content. Corresponding ranges in subsoil were 24.8m for crop yield\u00d7clay content in 2003 and 1404m for yield\u00d7bulk density. Kriging maps allowed separating sub-field area with the lowest yield and soil cation exchange capacity, organic carbon content and pH. This area had lighter color on the aerial photograph due to high content of the sand and low content of soil organic carbon. The results will help farmers at identifying sub-field areas for applying localized management practices to improve these soil properties and further spatial studies in larger scale.", "keywords": ["Crops", " Agricultural", "2. Zero hunger", "soil variability", "crop yields", "04 agricultural and veterinary sciences", "15. Life on land", "low productive area", "Soil", "cross-semivariograms", "kriging maps", "0401 agriculture", " forestry", " and fisheries", "Poland", "Edible Grain", "Environmental Monitoring"]}, "links": [{"href": "https://doi.org/10.1016/j.scitotenv.2018.03.277"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.scitotenv.2018.03.277", "name": "item", "description": "10.1016/j.scitotenv.2018.03.277", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.scitotenv.2018.03.277"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-08-01T00:00:00Z"}}, {"id": "10.3390/w13162238", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:21:57Z", "type": "Journal Article", "created": "2021-08-18", "title": "Multi-Step Calibration Approach for SWAT Model Using Soil Moisture and Crop Yields in a Small Agricultural Catchment", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The quantitative prediction of hydrological components through hydrological models could serve as a basis for developing better land and water management policies. This study provides a comprehensive step by step modelling approach for a small agricultural watershed using the SWAT model. The watershed is situated in Petzenkirchen in the western part of Lower Austria and has total area of 66 hectares. At present, 87% of the catchment area is arable land, 5% is used as pasture, 6% is forested and 2% is paved. The calibration approach involves a sequential calibration of the model starting from surface runoff, and groundwater flow, followed by crop yields and then soil moisture, and finally total streamflow and sediment yields. Calibration and validation are carried out using the r-package SWATplusR. The impact of each calibration step on sediment yields and total streamflow is evaluated. The results of this approach are compared with those of the conventional model calibration approach, where all the parameters governing various hydrological processes are calibrated simultaneously. Results showed that the model was capable of successfully predicting surface runoff, groundwater flow, soil profile water content, total streamflow and sediment yields with Nash-Sutcliffe efficiency (NSE) of greater than 0.75. Crop yields were also well simulated with a percent bias (PBIAS) ranging from \u221217% to 14%. Surface runoff calibration had the highest impact on streamflow output, improving NSE from 0.39 to 0.77. The step-wise calibration approach performed better for streamflow prediction than the simultaneous calibration approach. The results of this study show that the step-wise calibration approach is more accurate, and provides a better representation of different hydrological components and processes than the simultaneous calibration approach.</p></article>", "keywords": ["Step-wise calibration", "2. Zero hunger", "step-wise calibration", "Crop yields", "soil erosion model", "Sequential calibration", "Sediment yield", "0207 environmental engineering", "HOAL", "crop yields", "Streamflow", "SWATplusR", "04 agricultural and veterinary sciences", "02 engineering and technology", "15. Life on land", "sediment yield", "6. Clean water", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "SWAT", "Soil erosion model", "streamflow", "Soil moisture", "soil moisture", "sequential calibration"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/13/16/2238/pdf"}, {"href": "https://www.mdpi.com/2073-4441/13/16/2238/pdf"}, {"href": "https://doi.org/10.3390/w13162238"}, {"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/w13162238", "name": "item", "description": "10.3390/w13162238", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/w13162238"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-17T00:00:00Z"}}, {"id": "10.5061/dryad.jh9w0vt6z", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:22:18Z", "type": "Dataset", "title": "Data from: Impacts of climate variability and adaptation strategies on crop yields and soil organic carbon in the US Midwest", "description": "unspecifiedThe \u201cValidationResults.xlsx\u201d contain SALUS-model validation  results for simulating maize-soybean-wheat rotation systems in Kellogg  Biological Station. There are two sheets in this file. The \u201cmetadata\u201d  sheet explains the sources of field observations and each column in the  data sheet \u201cGWAD_ob_si_byTreat\u201d.  ClimateAdaptationInputs.zip contains (i) a readme file  \u201cReadMe_Input.docx\u201d, which explains each of the input files in the  zipfile, and (ii) the input files to run SALUS model.  ClimateAdaptationResults.zip contains (i) a readme file  \u201cReadMe_Results.docx\u201d, which explains the naming convention of the SALUS  output files in the zipfile, and (ii) SALUS output files. The SALUS output  files were generated by running SALUS model using input files in the  \u201cClimateAdaptationInputs.zip\u201d.", "keywords": ["2. Zero hunger", "soil organic carbon", "13. Climate action", "crop yields", "15. Life on land", "midwestern United States", "6. Clean water"], "contacts": [{"organization": "Liu, Lin, Basso, Bruno,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.jh9w0vt6z"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.jh9w0vt6z", "name": "item", "description": "10.5061/dryad.jh9w0vt6z", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.jh9w0vt6z"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-12-08T00:00:00Z"}}, {"id": "10.6078/D1013R", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:25:16Z", "type": "Dataset", "created": "2023-07-31", "title": "Data for: Quantifying direct yield benefits of soil carbon increases from cover cropping", "description": "unspecifiedPlease see R scripts for processing and analyzing data.", "keywords": ["2. Zero hunger", "soil organic carbon", "13. Climate action", "FOS: Agricultural sciences", "crop yields", "cover crops", "15. Life on land", "Soil carbon"], "contacts": [{"organization": "Vendig, Isaac, Guzman, Audee, De La Cerda, Gisel, Esquivel, Kenzo, Mayer, Allegra, Ponisio, Lauren, Bowles, Timothy,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.6078/D1013R"}, {"rel": "self", "type": "application/geo+json", "title": "10.6078/D1013R", "name": "item", "description": "10.6078/D1013R", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.6078/D1013R"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-05-31T00:00:00Z"}}, {"id": "10.5281/zenodo.15609417", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:24:00Z", "type": "Dataset", "title": "Raw data : \"Soil organic carbon stocks and dynamics under contrasting organic matter management practices - Results from a 65-year-old experiment in Belgium\"", "description": "unspecifiedLong-term field experiments (LTEs) are key for evaluating the long-term effect of agricultural practices on soil organic carbon (SOC) storage. In this work, we studied the long-term effect of organic matter (OM) management practices on SOC in a 65-year LTE under arable cropping in Belgium. To evaluate SOC dynamics, a time series (1959-2021) of topsoil SOC content was analyzed for three subperiods in which N fertilization remained unchanged. Topsoil and subsoil SOC stocks were calculated by the equivalent soil mass method for one individual sampling campain in 2018.\u00a0  Cattle manure (CM) application led to the most significant SOC storage, increasing topsoil SOC stock and content by approximately 20% over the long term. Other individual OM management practices \u2013 pig slurry (PS) application, cereal straw incorporation and cover crops (CC) cultivation \u2013 induced smaller, non-significant SOC increases of about 5%. Nevertheless, their combined effects were cumulative, resulting in significant SOC accruals. In contrast to the topsoil, SOC stock in the subsoil was unaffected by the OM management practices.  Annual humified C inputs calculated from the amount and quality of livestock manures and (cover) crops residues correlated strongly with SOC content in the topsoil (r=0.8), which underlines that the amount and quality of C inputs are key drivers of SOC storage. Changes in N fertilization over time and N fertilization adjustments among treatments significantly affected SOC dynamics. This highlights the complexity of interpreting time series of data from LTEs, for which the evolution of management practices over time may act as confounding factors.", "keywords": ["Crop residues", "Crop yields", "Livestock manures", "Cover crops", "C inputs", "Long-term field experiment", "Organic matter practices", "Organic carbon"], "contacts": [{"organization": "Sail, Simon", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15609417"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15609417", "name": "item", "description": "10.5281/zenodo.15609417", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15609417"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-07-02T00:00:00Z"}}, {"id": "10.5424/sjar/2009073-456", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:24:48Z", "type": "Journal Article", "created": "2013-11-19", "description": "<p>Conservation tillage has been promoted as a solution to counteract constraints caused by intensive agriculture. In this work the effects of two conservation tillage systems, reduced tillage (RT) and no-tillage (NT) were compared to the traditional tillage (TT) in a long- (15 years, RT) and short-term experiment (3 years, NT). Both experiments were carried out under semi-arid, rainfed agriculture of Mediterranean SW Spain. Tillage caused a sharp increase in soil CO2 emissions immediately after tillage implementation, with a maximum value of 6.24 g CO2/square m/h under long-term TT treatment. Along the year, losses of carbon through CO2 emission were higher (905 and 801 g C/square m/year for the long- and shortterm TT treatments respectively), than those estimated for conservation systems (764 and 718 g C/square m/year for RT and NT respectively). Conservation tillage systems accumulated more soil organic carbon (SOC) in surface than the corresponding TT treatments (1.24 and 1.17 times greater for RT and NT, respectively, at 0-10 cm depth). Despite SOC accumulation would be moderate other variables related to soil quality, such as dehydrogenase activity, can be consistently increased in soil surface in conservation tillage, as the stratification ratio values indicated. Crop yields in conservation tillage were similar to or even greater than those obtained in TT. The agricultural (soil quality) and environmental (less CO2 emission to the atmosphere) benefits derived from conservation tillage make this system recommendable for semi-arid Mediterranean rainfed agriculture.</p>", "keywords": ["CULTIVOS; CULTIVO EN TIERRAS ARIDAS; LABRANZA MINIMA; CERO-LABRANZA; LABRANZA CONVENCIONAL; CARBONO; FERTILIDAD DEL SUELO; PROTECCION AMBIENTAL; RENDIMIENTO DE CULTIVOS; EXPERIMENTACION; ESPANA", "PROTECCION AMBIENTAL", "Soil quality", "EXPERIMENTACION", "12. Responsible consumption", "CARBON", "CULTIVOS", "RENDIMIENTO DE CULTIVOS", "Rendimiento de cultivo", "CROP YIELD", "ESPANA", "SOIL FERTILITY", "Calidad del suelo", "EXPERIMENTATION", "Conservation tillage", "CROPS", "2. Zero hunger", "FERTILIDAD DEL SUELO", "Crop yields", "SPAIN", "CONVENTIONAL TILLAGE", "0402 animal and dairy science", "AGRICULTURAL CHEMISTRY", "Laboreo de conservaci\u00f3n", "04 agricultural and veterinary sciences", "15. Life on land", "CULTIVO EN TIERRAS ARIDAS", "6. Clean water", "CO2 fluxes", "Flujo del CO2", "LABRANZA CONVENCIONAL", "CERO-LABRANZA", "CROPS; DRY FARMING; MINIMUM TILLAGE; ZERO TILLAGE; CONVENTIONAL TILLAGE; CARBON; SOIL FERTILITY; ENVIRONMENTAL PROTECTION; CROP YIELD; EXPERIMENTATION; SPAIN", "13. Climate action", "MINIMUM TILLAGE", "ENVIRONMENTAL PROTECTION", "CARBONO", "0401 agriculture", " forestry", " and fisheries", "LABRANZA MINIMA", "DRY FARMING", "ZERO TILLAGE"]}, "links": [{"href": "https://doi.org/10.5424/sjar/2009073-456"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Spanish%20Journal%20of%20Agricultural%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5424/sjar/2009073-456", "name": "item", "description": "10.5424/sjar/2009073-456", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5424/sjar/2009073-456"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-09-01T00:00:00Z"}}, {"id": "10261/253007", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:25:38Z", "type": "Journal Article", "created": "2021-08-17", "title": "Multi-Step Calibration Approach for SWAT Model Using Soil Moisture and Crop Yields in a Small Agricultural Catchment", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The quantitative prediction of hydrological components through hydrological models could serve as a basis for developing better land and water management policies. This study provides a comprehensive step by step modelling approach for a small agricultural watershed using the SWAT model. The watershed is situated in Petzenkirchen in the western part of Lower Austria and has total area of 66 hectares. At present, 87% of the catchment area is arable land, 5% is used as pasture, 6% is forested and 2% is paved. The calibration approach involves a sequential calibration of the model starting from surface runoff, and groundwater flow, followed by crop yields and then soil moisture, and finally total streamflow and sediment yields. Calibration and validation are carried out using the r-package SWATplusR. The impact of each calibration step on sediment yields and total streamflow is evaluated. The results of this approach are compared with those of the conventional model calibration approach, where all the parameters governing various hydrological processes are calibrated simultaneously. Results showed that the model was capable of successfully predicting surface runoff, groundwater flow, soil profile water content, total streamflow and sediment yields with Nash-Sutcliffe efficiency (NSE) of greater than 0.75. Crop yields were also well simulated with a percent bias (PBIAS) ranging from \u221217% to 14%. Surface runoff calibration had the highest impact on streamflow output, improving NSE from 0.39 to 0.77. The step-wise calibration approach performed better for streamflow prediction than the simultaneous calibration approach. The results of this study show that the step-wise calibration approach is more accurate, and provides a better representation of different hydrological components and processes than the simultaneous calibration approach.</p></article>", "keywords": ["Step-wise calibration", "2. Zero hunger", "step-wise calibration", "Crop yields", "soil erosion model", "Sequential calibration", "Sediment yield", "0207 environmental engineering", "HOAL", "crop yields", "Streamflow", "SWATplusR", "04 agricultural and veterinary sciences", "02 engineering and technology", "15. Life on land", "sediment yield", "6. Clean water", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "SWAT", "Soil erosion model", "streamflow", "Soil moisture", "soil moisture", "sequential calibration"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/13/16/2238/pdf"}, {"href": "https://www.mdpi.com/2073-4441/13/16/2238/pdf"}, {"href": "https://doi.org/10261/253007"}, {"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": "10261/253007", "name": "item", "description": "10261/253007", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/253007"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-17T00:00:00Z"}}, {"id": "2164/16366", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:26:42Z", "type": "Journal Article", "created": "2020-05-04", "title": "The influence of nutrient management on soil organic carbon storage, crop production, and yield stability varies under different climates", "description": "Abstract   Our understanding on how soil organic carbon (SOC) storage, crop yield, and yield stability are influenced by climate is limited. To critically examine this, the impact of long-term (\u226510 years) application of nutrient management practices on SOC storage, crop productivity, and yield stability were evaluated under different climatic conditions in China using a meta-analysis approach. The cropping area of China was divided into four distinct groups based on local climatic conditions (warm dry, DW; warm moist, WM; cool dry, CD; cool moist, CM). Results indicated that the impact of nutrient management practices on SOC storage, crop yield, and yield stability varies under different climatic zone in China. The use of unbalanced mineral fertilizer (UMF), and balanced mineral fertilizer (BMF) led to a loss in SOC storage by 6%, and 11% under CM climatic zone and gains in DW, WM, and CD climates. Organic fertilizers (OF), combined unbalanced mineral and organic fertilizers (UMOF), and combined balanced mineral and organic fertilizers (BMOF) were able to sustain and enhance SOC storage under all climatic conditions. However, the largest increase in SOC storage across all climates was seen for BMOF. Further, corresponding values of crop productivity and yield stability were also highest for BMOF among all the nutrient management treatments. A linear-plateau model indicated that maximal yield responsive SOC stock (Copt) levels ranged from 33.43 to 45.51\u00a0Mg\u00a0C ha\u22121 for rice (Oryza sativa), maize (Zea mays), and wheat (Triticum aestivum) production. To enhance and sustain SOC storage, and crop productivity of croplands under different climates, BMOF appears to be the most appropriate nutrient management strategy. Our findings demonstrate that it is essential to optimize nutrient management strategies according to the local climate to protect soil from SOC losses, and for achieving sustainable crop production.", "keywords": ["Yield stability", "AGRICULTURE", "550", "INCREASES", "Supplementary Data", "QH301 Biology", "Strategy and Management", "SEQUESTRATION", "CHINA", "Industrial and Manufacturing Engineering", "630", "12. Responsible consumption", "QH301", "Critical level", "SDG 13 - Climate Action", "Climate change", "SDG 7 - Affordable and Clean Energy", "Renewable Energy", "SDG 2 - Zero Hunger", "General Environmental Science", "2. Zero hunger", "Sustainability and the Environment", "Crop yields", "Soil organic carbon", "PADDY FIELDS", "Nutrient management", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water", "NITROGEN", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "STRAW", "LONG-TERM FERTILIZATION", "MATTER"]}, "links": [{"href": "https://doi.org/2164/16366"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Cleaner%20Production", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2164/16366", "name": "item", "description": "2164/16366", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2164/16366"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-09-01T00:00:00Z"}}, {"id": "2795736439", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:26:55Z", "type": "Journal Article", "created": "2018-04-04", "title": "Spatial relationships among cereal yields and selected soil physical and chemical properties", "description": "Sandy soils occupy large area in Poland (about 50%) and in the world. This study aimed at determining spatial relationships of cereal yields and the selected soil physical and chemical properties in three study years (2001-2003) on low productive sandy Podzol soil (Podlasie, Poland). The yields and soil properties in plough and subsoil layers were determined at 72-150 points. The test crops were: wheat, wheat and barley mixture and oats. To explore the spatial relationship between cereal yields and each soil property spatial statistics was used. The best fitting models were adjusted to empirical semivariance and cross-semivariance, which were used to draw maps using kriging. Majority of the soil properties and crop yields exhibited low and medium variability (coefficient of variation 5-70%). The effective ranges of the spatial dependence (the distance at which data are autocorrelated) for yields and all soil properties were 24.3-58.5m and 10.5-373m, respectively. Nugget to sill ratios showed that crop yields and soil properties were strongly spatially dependent except bulk density. Majority of the pairs in cross-semivariograms exhibited strong spatial interdependence. The ranges of the spatial dependence varied in plough layer between 54.6m for yield\u00d7pH up to 2433m for yield\u00d7silt content. Corresponding ranges in subsoil were 24.8m for crop yield\u00d7clay content in 2003 and 1404m for yield\u00d7bulk density. Kriging maps allowed separating sub-field area with the lowest yield and soil cation exchange capacity, organic carbon content and pH. This area had lighter color on the aerial photograph due to high content of the sand and low content of soil organic carbon. The results will help farmers at identifying sub-field areas for applying localized management practices to improve these soil properties and further spatial studies in larger scale.", "keywords": ["Crops", " Agricultural", "2. Zero hunger", "soil variability", "crop yields", "04 agricultural and veterinary sciences", "15. Life on land", "low productive area", "Soil", "cross-semivariograms", "kriging maps", "0401 agriculture", " forestry", " and fisheries", "Poland", "Edible Grain", "Environmental Monitoring"]}, "links": [{"href": "https://doi.org/2795736439"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2795736439", "name": "item", "description": "2795736439", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2795736439"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-08-01T00:00:00Z"}}, {"id": "29758908", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:27:02Z", "type": "Journal Article", "created": "2018-04-04", "title": "Spatial relationships among cereal yields and selected soil physical and chemical properties", "description": "Sandy soils occupy large area in Poland (about 50%) and in the world. This study aimed at determining spatial relationships of cereal yields and the selected soil physical and chemical properties in three study years (2001-2003) on low productive sandy Podzol soil (Podlasie, Poland). The yields and soil properties in plough and subsoil layers were determined at 72-150 points. The test crops were: wheat, wheat and barley mixture and oats. To explore the spatial relationship between cereal yields and each soil property spatial statistics was used. The best fitting models were adjusted to empirical semivariance and cross-semivariance, which were used to draw maps using kriging. Majority of the soil properties and crop yields exhibited low and medium variability (coefficient of variation 5-70%). The effective ranges of the spatial dependence (the distance at which data are autocorrelated) for yields and all soil properties were 24.3-58.5m and 10.5-373m, respectively. Nugget to sill ratios showed that crop yields and soil properties were strongly spatially dependent except bulk density. Majority of the pairs in cross-semivariograms exhibited strong spatial interdependence. The ranges of the spatial dependence varied in plough layer between 54.6m for yield\u00d7pH up to 2433m for yield\u00d7silt content. Corresponding ranges in subsoil were 24.8m for crop yield\u00d7clay content in 2003 and 1404m for yield\u00d7bulk density. Kriging maps allowed separating sub-field area with the lowest yield and soil cation exchange capacity, organic carbon content and pH. This area had lighter color on the aerial photograph due to high content of the sand and low content of soil organic carbon. The results will help farmers at identifying sub-field areas for applying localized management practices to improve these soil properties and further spatial studies in larger scale.", "keywords": ["Crops", " Agricultural", "2. Zero hunger", "soil variability", "crop yields", "04 agricultural and veterinary sciences", "15. Life on land", "low productive area", "Soil", "cross-semivariograms", "kriging maps", "0401 agriculture", " forestry", " and fisheries", "Poland", "Edible Grain", "Environmental Monitoring"]}, "links": [{"href": "https://doi.org/29758908"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "29758908", "name": "item", "description": "29758908", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/29758908"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-08-01T00:00:00Z"}}, {"id": "3195029335", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:27:24Z", "type": "Journal Article", "created": "2021-08-18", "title": "Multi-Step Calibration Approach for SWAT Model Using Soil Moisture and Crop Yields in a Small Agricultural Catchment", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The quantitative prediction of hydrological components through hydrological models could serve as a basis for developing better land and water management policies. This study provides a comprehensive step by step modelling approach for a small agricultural watershed using the SWAT model. The watershed is situated in Petzenkirchen in the western part of Lower Austria and has total area of 66 hectares. At present, 87% of the catchment area is arable land, 5% is used as pasture, 6% is forested and 2% is paved. The calibration approach involves a sequential calibration of the model starting from surface runoff, and groundwater flow, followed by crop yields and then soil moisture, and finally total streamflow and sediment yields. Calibration and validation are carried out using the r-package SWATplusR. The impact of each calibration step on sediment yields and total streamflow is evaluated. The results of this approach are compared with those of the conventional model calibration approach, where all the parameters governing various hydrological processes are calibrated simultaneously. Results showed that the model was capable of successfully predicting surface runoff, groundwater flow, soil profile water content, total streamflow and sediment yields with Nash-Sutcliffe efficiency (NSE) of greater than 0.75. Crop yields were also well simulated with a percent bias (PBIAS) ranging from \u221217% to 14%. Surface runoff calibration had the highest impact on streamflow output, improving NSE from 0.39 to 0.77. The step-wise calibration approach performed better for streamflow prediction than the simultaneous calibration approach. The results of this study show that the step-wise calibration approach is more accurate, and provides a better representation of different hydrological components and processes than the simultaneous calibration approach.</p></article>", "keywords": ["Step-wise calibration", "2. Zero hunger", "step-wise calibration", "Crop yields", "soil erosion model", "Sequential calibration", "Sediment yield", "0207 environmental engineering", "HOAL", "crop yields", "Streamflow", "SWATplusR", "04 agricultural and veterinary sciences", "02 engineering and technology", "15. Life on land", "sediment yield", "6. Clean water", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "SWAT", "Soil erosion model", "streamflow", "Soil moisture", "soil moisture", "sequential calibration"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/13/16/2238/pdf"}, {"href": "https://www.mdpi.com/2073-4441/13/16/2238/pdf"}, {"href": "https://doi.org/3195029335"}, {"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": "3195029335", "name": "item", "description": "3195029335", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3195029335"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-17T00:00:00Z"}}, {"id": "50|od______2659::6cd4c5a070cdf75f4201430203a356b2", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:28:00Z", "type": "Dataset", "title": "Spatial relationships among cereal yields and selected soil physical andchemical properties", "description": "Sandy soils occupy large area in Poland (about 50%) and in the world. This study aimed at determining spatialrelationships of cereal yields and the selected soil physical and chemical properties in three study years (2001\u22122003) on low productive sandy Podzol soil (Podlasie, Poland). The yields and soil properties in plough and sub-soil layers were determined at 72\u2013150 points. The test crops were: wheat, wheat and barley mixture and oats. Toexplore the spatial relationship between cereal yields and each soil property spatial statistics was used. The bestfitting models were adjusted to empirical semivariance and cross-semivariance, which were used to draw mapsusing kriging. Majority of the soil properties and crop yields exhibited low and medium variability (coefficient ofvariation 5\u201370%). The effective ranges of the spatial dependence (the distance at which data are autocorrelated)for yields and all soil properties were 24.3\u201358.5 m and 10.5\u2013373 m, respectively. Nugget to sill ratios showed thatcrop yields and soil properties were strongly spatially dependent except bulk density. Majority of the pairs incross-semivariograms exhibited strong spatial interdependence. The ranges of the spatial dependence variedin plough layer between 54.6 m for yield \u00d7 pH up to 2433 m for yield \u00d7 silt content. Corresponding ranges in sub-soil were 24.8 m for crop yield \u00d7 clay content in 2003 and 1404 m for yield \u00d7 bulk density. Kriging maps allowedseparating sub-field area with the lowest yield and soil cation exchange capacity, organic carbon content and pH.This area had lighter color on the aerial photograph due to high content of the sand and low content of soil or-ganic carbon. The results will help farmers at identifying sub-field areas for applying localized management prac-tices to improve these soil properties and further spatial studies in larger scale.", "keywords": ["2. Zero hunger", "Crop yields", "Kriging map", "Cross-semivariograms", "15. Life on land", "Soil variability", "Low productive area"], "contacts": [{"organization": "Lipiec Jerzy, Usowicz Bogus\u0142aw,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/50|od______2659::6cd4c5a070cdf75f4201430203a356b2"}, {"rel": "self", "type": "application/geo+json", "title": "50|od______2659::6cd4c5a070cdf75f4201430203a356b2", "name": "item", "description": "50|od______2659::6cd4c5a070cdf75f4201430203a356b2", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/50|od______2659::6cd4c5a070cdf75f4201430203a356b2"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-04-04T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=crop+yields&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=crop+yields&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=crop+yields&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=crop+yields&offset=15", "hreflang": "en-US"}], "numberMatched": 15, "numberReturned": 15, "distributedFeatures": [], "timeStamp": "2026-06-24T08:32:54.404220Z"}