{"type": "FeatureCollection", "features": [{"id": "10.5061/dryad.pb271", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:31Z", "type": "Dataset", "title": "Data from: Interactions among roots, mycorrhizae and free-living microbial communities differentially impact soil carbon processes", "description": "unspecifiedPlant roots, their associated microbial community and free-living soil  microbes interact to regulate the movement of carbon from the soil to the  atmosphere, one of the most important and least understood fluxes of  terrestrial carbon. Our inadequate understanding of how plant\u2013microbial  interactions alter soil carbon decomposition may lead to poor model  predictions of terrestrial carbon feedbacks to the atmosphere. Roots,  mycorrhizal fungi and free-living soil microbes can alter soil carbon  decomposition through exudation of carbon into soil. Exudates of simple  carbon compounds can increase microbial activity because microbes are  typically carbon limited. When both roots and mycorrhizal fungi are  present in the soil, they may additively increase carbon decomposition.  However, when mycorrhizas are isolated from roots, they may limit soil  carbon decomposition by competing with free-living decomposers for  resources. We manipulated the access of roots and mycorrhizal fungi to  soil in situ in a temperate mixed deciduous forest. We added 13C-labelled  substrate to trace metabolized carbon in respiration and measured  carbon-degrading microbial extracellular enzyme activity and soil carbon  pools. We used our data in a mechanistic soil carbon decomposition model  to simulate and compare the effects of root and mycorrhizal fungal  presence on soil carbon dynamics over longer time periods. Contrary to  what we predicted, root and mycorrhizal biomass did not interact to  additively increase microbial activity and soil carbon degradation. The  metabolism of 13C-labelled starch was highest when root biomass was high  and mycorrhizal biomass was low. These results suggest that mycorrhizas  may negatively interact with the free-living microbial community to  influence soil carbon dynamics, a hypothesis supported by our enzyme  results. Our steady-state model simulations suggested that root presence  increased mineral-associated and particulate organic carbon pools, while  mycorrhizal fungal presence had a greater influence on particulate than  mineral-associated organic carbon pools. Synthesis. Our results suggest  that the activity of enzymes involved in organic matter decomposition was  contingent upon root\u2013mycorrhizal\u2013microbial interactions. Using our  experimental data in a decomposition simulation model, we show that  root\u2013mycorrhizal\u2013microbial interactions may have longer-term legacy  effects on soil carbon sequestration. Overall, our study suggests that  roots stimulate microbial activity in the short term, but contribute to  soil carbon storage over longer periods of time.", "keywords": ["2. Zero hunger", "roots", "13. Climate action", "simulation model", "carbon dynamics", "Rhizosphere", "stable isotope", "plant-soil (belowground) interactions", "15. Life on land", "extra-cellular enzyme activity", "mycorrhizae"], "contacts": [{"organization": "Moore, Jessica A. M., Jiang, Jiang, Patterson, Courtney M., Wang, Gangsheng, Mayes, Melanie A., Classen, Aim\u00e9e T.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.pb271"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.pb271", "name": "item", "description": "10.5061/dryad.pb271", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.pb271"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-09-14T00:00:00Z"}}, {"id": "10.1007/s10980-016-0447-x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:14:42Z", "type": "Journal Article", "created": "2016-10-04", "title": "Bending The Carbon Curve: Fire Management For Carbon Resilience Under Climate Change", "description": "Forest landscapes are increasingly managed for fire resilience, particularly in the western US which has recently experienced drought and widespread, high-severity wildfires. Fuel reduction treatments have been effective where fires coincide with treated areas. Fuel treatments also have the potential to reduce drought-mortality if tree density is uncharacteristically\u00a0high, and to increase long-term carbon storage by reducing high-severity fire probability. Assess whether fuel treatments reduce fire intensity and spread\u00a0and increase carbon storage under climate change. We used a simulation modeling approach that couples a landscape model of forest disturbance and succession with an ecosystem model of carbon dynamics (Century), to quantify the interacting effects of climate change, fuel treatments and wildfire for carbon storage potential in a mixed-conifer forest in the western USA. Our results suggest that fuel treatments have the potential to \u2018bend the C curve\u2019, maintaining carbon resilience despite climate change and climate-related changes to the fire regime. Simulated fuel treatments resulted in reduced fire spread and severity. There was partial compensation of C lost during fuel treatments with increased growth of residual stock due to greater available soil water, as well as a shift in species composition to more drought- and fire-tolerant Pinus jeffreyi at the expense of shade-tolerant, fire-susceptible Abies concolor. Forest resilience to global change can be achieved through management that reduces drought stress and supports the establishment and dominance of tree species that are more fire- and drought-resistant, however, achieving a net C gain from fuel treatments may take decades.", "keywords": ["Carbon sequestration", "0106 biological sciences", "Environmental Indicators and Impact Assessment", "Forest fires -- West (U.S.) -- Prevention and control", "Environmental Studies", "Natural Resources Management and Policy", "Forest fires -- Effect of climate change on", "15. Life on land", "Forest fires -- Simulation modelling", "01 natural sciences", "6. Clean water", "Wildfires -- Lake Tahoe Basin", "13. Climate action", "Forest management -- Environmental aspects", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1007/s10980-016-0447-x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Landscape%20Ecology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10980-016-0447-x", "name": "item", "description": "10.1007/s10980-016-0447-x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10980-016-0447-x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-10-04T00:00:00Z"}}, {"id": "10.1016/j.agee.2009.07.001", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:15:11Z", "type": "Journal Article", "created": "2009-07-31", "title": "Tillage And Cropping Effects On Soil Organic Carbon In Mediterranean Semiarid Agroecosystems: Testing The Century Model", "description": "Open AccessPeer reviewed", "keywords": ["2. Zero hunger", "Soil organic carbon", "13. Climate action", "Dryland agroecosystems", "0401 agriculture", " forestry", " and fisheries", "Semiarid Spain", "04 agricultural and veterinary sciences", "15. Life on land", "Simulation modeling", "Tillage"]}, "links": [{"href": "https://doi.org/10.1016/j.agee.2009.07.001"}, {"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.2009.07.001", "name": "item", "description": "10.1016/j.agee.2009.07.001", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agee.2009.07.001"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-12-01T00:00:00Z"}}, {"id": "10.1016/j.agsy.2005.09.010", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:15:22Z", "type": "Journal Article", "created": "2006-09-28", "title": "A Simulation-Based Analysis Of Productivity And Soil Carbon In Response To Time-Controlled Rotational Grazing In The West African Sahel Region", "description": "In the Sahel region of West Africa, the traditional organization of the population and the grazing land avoided overexploitation of pastures. Since independence in the 1960s, grazing lands have been opened to all without specific guidance, and the vulnerability of the pastures to degradation has increased. Rotational grazing is postulated as a possible solution to provide higher pasture productivity, higher animal loads per unit land, and perhaps improved soil carbon storage. The objective of this study was to conduct a simulation-based assessment of the impact of rotational grazing management on pasture biomass production, grazing efficiency, animal grazing requirement satisfaction, and soil carbon storage in the Madiama Commune, Mali. The results showed that grazing intensity is the primary factor influencing the productivity of annual pastures and their capacity to provide for animal grazing requirements. Rotating the animals in paddocks is a positive practice for pasture protection that showed advantage as the grazing pressure increased. Increasing the size of the reserve biomass not available for grazing, which triggers the decision of taking the animals off the field, provided better pasture protection but reduced animal grazing requirements satisfaction. In terms of soil carbon storage, all management scenarios led to reduction of soil carbon at the end of the 50-year simulation periods, ranging between 4% and 5% of the initial storage. The differences in reduction as a function of grazing intensity were of no practical significance in these soils with very low organic matter content, mostly resistant to decomposition.", "keywords": ["Carbon sequestration", "Livestock management", "2. Zero hunger", "Soil organic matter", "Grazing systems", "Rotation", "Rotational grazing", "Pastures", "Soil carbon storage", "Controlled grazing", "04 agricultural and veterinary sciences", "15. Life on land", "Pasture management", "Soil carbon", "Simulation modeling", "Semiarid zones", "Paddocks", "Sahel", "Range management", "West Africa", "0401 agriculture", " forestry", " and fisheries", "Cattle", "Field Scale", "Productivity"], "contacts": [{"organization": "Washington State University Bryan Hall, P.O. Box 645121, Pullman, WA 99164-5121, USA ( host institution ), Badini, Oumarou, St\u00f6ckle, Claudio O., Jones, Jim W., Nelson, Roger, Kodio, Amadou, Keita, Moussa,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.agsy.2005.09.010"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20Systems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agsy.2005.09.010", "name": "item", "description": "10.1016/j.agsy.2005.09.010", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agsy.2005.09.010"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-04-01T00:00:00Z"}}, {"id": "10.1071/cp08397", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:17:55Z", "type": "Journal Article", "created": "2009-06-12", "title": "Do Spring Cover Crops Rob Water And So Reduce Wheat Yields In The Northern Grain Zone Of Eastern Australia?", "description": "<p>  During the 14-month-long fallow that arises when moving from summer to winter crops, stubble breakdown can denude the soil surface and leave it vulnerable to erosion. Cover crops of millet have been proposed as a solution, but this then raises the question, how often is there sufficient water in the system to grow a cover crop without reducing the soil water reserves to the point of prejudicing the following wheat crop? An on-farm research approach was used to compare the traditional long fallow (TF) with a millet fallow (MF) in a total of 31 commercial paddocks over 3 years. Each treatment was simulated using the simulation-modelling framework (APSIM) to investigate the outcomes over a longer timeframe and to determine how often a millet fallow could be successfully included within the farming system. The on-farm trials showed that early-sown millet cover crops removed before December had no effect on wheat yield, but this was not true of millet cover crops that were allowed to grow through to maturity. Long-term simulations estimated that a spring cover crop of millet would adversely affect wheat yields in only 2% of years if planted early and removed after 50% cover had been achieved. </p>", "keywords": ["2. Zero hunger", "Simulation modelling", "Methods and systems of culture. Cropping systems", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land"]}, "links": [{"href": "https://doi.org/10.1071/cp08397"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Crop%20and%20Pasture%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1071/cp08397", "name": "item", "description": "10.1071/cp08397", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1071/cp08397"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-01-01T00:00:00Z"}}, {"id": "10.5424/sjar/2013113-3747", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:23:42Z", "type": "Journal Article", "created": "2013-07-31", "title": "Simulating Improved Combinations Tillage-Rotation Under Dryland Conditions", "description": "<p>Crop simulation models allow analyzing various tillage-rotation combinations and exploring management scenarios. This study was conducted to test the DSSAT (Decision Support System for Agrotechnology Transfer) modelling system in rainfed semiarid central Spain. The focus is on the combined effect of tillage system and winter cereal-based rotations (cereal/legume/fallow) on the crop yield and soil quality. The observed data come from a 16-year field experiment. The CERES and CROPGRO models, included in DSSAT v4.5, were used to simulate crop growth and yield, and DSSAT-CENTURY was used in the soil organic carbon (SOC) and soil nitrogen (SN) simulations. Genetic coefficients were calibrated using part of the observed data. Field observations showed that barley grain yield was lower for continuous cereal (BB) than for vetch (VB) and fallow (FB) rotations for both tillage systems. The CERES-Barley model also reflected this trend. The model predicted higher yield in the conventional tillage (CT) than in the no tillage (NT) probably due to the higher nitrogen availability in the CT, shown in the simulations. The SOC and SN in the top layer only, were higher in NT than in CT, and decreased with depth in both simulated and observed values. These results suggest that CT-VB and CT-FB were the best combinations for the dry land conditions studied. However, CT presented lower SN and SOC content than NT. This study shows how models can be a useful tool for assessing and predicting crop growth and yield, under different management systems and under specific edapho-climatic conditions.</p>", "keywords": ["2. Zero hunger", "Sequential simulation", "S", "sequential simulation", "Soil organic carbon", "Agricultura", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "soil organic carbon", "CENTURY model", "Crop simulation models", "CERES-Barley", "0401 agriculture", " forestry", " and fisheries", "agriculture; plant production", "CENTURY model; CERES-Barley; Crop simulation models; DSSAT; sequential simulation; soil organic carbon", "DSSAT"]}, "links": [{"href": "https://doi.org/10.5424/sjar/2013113-3747"}, {"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/2013113-3747", "name": "item", "description": "10.5424/sjar/2013113-3747", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5424/sjar/2013113-3747"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-07-18T00:00:00Z"}}, {"id": "93c2f25c-8985-421a-b91b-d6d44bd30c24", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[5.81, 47.26], [5.81, 54.76], [15.77, 54.76], [15.77, 47.26], [5.81, 47.26]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "gully erosion"}, {"id": "erosion control"}, {"id": "geographical information systems"}, {"id": "simulation models"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}, {"id": "Gully Dynamics"}, {"id": "Numerical Gully Modelling"}, {"id": "Dynamic Gully Model"}, {"id": "QGIS-Plug"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "-"}], "scheme": "individual"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-06-03", "type": "Dataset", "created": "2024-04-19", "language": "eng", "title": "QGIS-Plugin for Dynamic Gully Modelling", "description": "The morphological characteristics of gully systems help us to better understand the development of gullies in order to identify the direction of its evolution and the areas that are likely to be affected. In addition, temporal modeling of gully morphology facilitates recognizing the current evolutionary stage of the gullies. Furthermore, information on gully evolution is useful to develop coping and mitigation strategies to control gully erosion. Our plugin tool for QGIS, based on A. Sidorchuk\u2019s (1999) simulation model, allows to assess the temporal changes in gully morphology at watershed scale.", "formats": [{"name": "Plugin"}], "keywords": ["Soil", "gully erosion", "erosion control", "geographical information systems", "simulation models", "opendata", "Boden", "Gully Dynamics", "Numerical Gully Modelling", "Dynamic Gully Model", "QGIS-Plug", "-"], "contacts": [{"name": "Leibniz Centre for Agricultural Landscape Research", "organization": "ZALF", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "https://ror.org/01ygyzs83", "name_url": "", "description": "ROR", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Michael M\u00e4rker", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "michael.maerker@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-0632-1422", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Adel Omran", "organization": "Stuttgart University of Applied Sciences", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "michael.maerker@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-8171-4755", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Saad Kahn", "organization": "Stuttgart University of Applied Sciences", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "michael.maerker@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Michael M\u00e4rker", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "Michael M\u00e4rker"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-0632-1422", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "Stuttgart University of Applied Sciences;Leibniz Centre for Agricultural Landscape Research", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=93c2f25c-8985-421a-b91b-d6d44bd30c24", "rel": "information"}, {"rel": "self", "type": "application/geo+json", "title": "93c2f25c-8985-421a-b91b-d6d44bd30c24", "name": "item", "description": "93c2f25c-8985-421a-b91b-d6d44bd30c24", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/93c2f25c-8985-421a-b91b-d6d44bd30c24"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-06-03T00:00:00Z"}}, {"id": "9b8a2218-5dc7-4dcf-8485-cefcacd84f4b", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-17.3, -34.6], [-17.3, 38.2], [51.1, 38.2], [51.1, -34.6], [-17.3, -34.6]]]}, "properties": {"themes": [{"concepts": [{"id": "climatologyMeteorologyAtmosphere"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}], "updated": "2023-01-25T10:00:03", "language": "eng", "title": "Crop simulation model (DSSAT-CSM) annual output, at local scale - ClimAfrica WP3", "description": "Maturity and Yield for major crops in case study areas of Burkina, Malawi, Kenya, Sudan, Togo and Ghana (1980-2100), under rainfed and irrigated conditions (constant and transient CO2).\nInput Parameters for Climate: daily Minimum and Maximum Temperature, Precipitation and solar radiation.\nInput Parameters for Soil: Texture, Depth, Drainage, Slope, pH, Organic content, Ece, EXP.\nInput Sources for Climate: 3 GCMs (MIROC5, CanESM2 and NOAA-GFDL) statistically downscaled (SOMDS) by UCT and dynamically downscaled (SMHI-RCM) from CORDEX experiment at 0.5\u00b0, RCP 8.5.\nInput Sources for Soil: information from WP6 and from HWSD.\n\nThis data set has been produced in the framework of the \"Climate change predictions in Sub-Saharan Africa: impacts and adaptations (ClimAfrica)\" project, Work Package 3 (WP3). WP3 aimed at quantifying the sensitivity of vegetation productivity and water resources to seasonal, inter-annual and decadal variability in weather and climate, using impact models on agriculture and water.\nThe available models in combination with developed datasets of land use and climate from WP2 were used to simulate crop yield and water resources. Simulations using short-term scenarios of future climate change (5-10 years) were used to identify regional differences in the climate sensitivity of crop production etc. Scenarios for the African agricultural/pastoral sectors were also made using longer model runs.\nFinally, tradeoffs and areas of risk and vulnerability were identified in relation to:\n\n- Water-related hazards;\n\n- Agricultural and pastoral performance;\n\n- Soil degradation.\n\nMore information on ClimAfrica project is provided in the Supplemental Information section of this metadata.", "formats": [{"name": "Excel file"}, {"name": "WWW:LINK-1.0-http--link"}], "keywords": ["climate", "climate impact", "temperature", "agriculture", "water", "crop yield", "crop production", "crop simulation model", "DSSAT-CSM", "WP3", "ClimAfrica", "Tag_climafrica", "Africa", "Burkina", "Malawi", "Kenya", "Sudan", "Togo", "Ghana"], "contacts": [{"name": "Valentina Mereu", "organization": "University of Sassari - Science of Nature and Territory Department (DIPNET)", "position": "Researcher", "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "vmereu@uniss.it"}], "addresses": [{"deliveryPoint": ["Via Enrico De Nicola, 9"], "city": "Sassari", "administrativeArea": null, "postalCode": "07100", "country": "Italy"}], "links": [{"href": null}]}, {"organization": "University of Sassari - Science of Nature and Territory Department (DIPNET)", "roles": ["creator"]}], "distancevalue": "0.5", "distanceuom": "Degree", "edition": "First"}, "links": [{"href": "https://www.fao.org/3/i7040e/i7040e.pdf", "name": "Scenarios of major production systems in Africa", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "https://www.cmcc.it/projects/climafrica-climate-change-predictions-in-sub-saharian-africa-impacts-and-adaptations", "name": "CLIMAFRICA \u2013 Climate change predictions in Sub-Saharan Africa: impacts and adaptations", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/7f1cfa9a-8491-4e67-b12f-63aae00a8ce5", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "9b8a2218-5dc7-4dcf-8485-cefcacd84f4b", "name": "item", "description": "9b8a2218-5dc7-4dcf-8485-cefcacd84f4b", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/9b8a2218-5dc7-4dcf-8485-cefcacd84f4b"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1980-01-01T00:00:00Z", "2100-12-31T00:00:00Z"]}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=simulation+model&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=simulation+model&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=simulation+model&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=simulation+model&offset=8", "hreflang": "en-US"}], "numberMatched": 8, "numberReturned": 8, "distributedFeatures": [], "timeStamp": "2026-05-26T08:06:43.632002Z"}