{"type": "FeatureCollection", "features": [{"id": "10.7910/DVN/GVNJAB", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:24:20Z", "type": "Dataset", "created": "2019-06-24", "title": "Physical topsoil properties in Murugusi, Western Kenya", "description": "Open Access<b>General:</b> Lab determined topsoil bulk density, contents of sand, clay and organic carbon in Murugusi, W. Kenya, together with spatial coordinates of where the soil samples were taken (rounded to the closest center point of a 250 m \u00d7 250 m raster). All lab analyses were carried out at the ILRI/CIAT lab in Nairob, Kenya. <br> <b>Soil sampling:</b> At each sample location, one composite topsoil sample was taken; three cores of 7 cm in diameter taken within an area of one square meter. The soil was taken from 0-0.2 m depth below any organic (O) horizon. <br> <b>Determination of soil properties:</b> The bulk density of the soil was determined by taking two undisturbed soil samples (0-10 cm and 10-20 cm depth) of known volume (100 cm2) and weighting them after air drying. Soil fractions of clay (<0.002 mm) and sand (0.05-2 mm) were determined by the hydrometer method (Estefan et al., 2014), using 10% sodium hexametaphosphate as the dispersing agent. Soil pH was determined potentiometrically on a soil suspension of 1:2 (soil: water). Total carbon was measured after dry combustion using an elemental analyser (Elementar Vario max cube; ISO 10694, first edition 1995-03-01) <br> <b>Reference: </b>Estefan G., Sommer R., Ryan J. (2014) Analytical Methods for Soil-Plant and Water in Dry Areas. A Manual of Relevance to the West Asia and North Africa Region. 3rd Edition, International Center for Agricultural Research in the Dry Areas, Aleppo, 255 pp. Available online at: http://repo.mel.cgiar.org:8080/handle/20.500.11766/7512?show=full. Verified: October 9, 2018. <br> <b>Acknowledgements: </b> We are deeply thankful for the good services provided by John Mukulama (soil sampling), John Yumbya Mutua (soil sampling) and Francis Mungthu Njenga (lab analyses) The project was carried out within the CGIAR Research Program on Water, Land and Ecosystems (WLE).", "keywords": ["Soil organic matter", "Agricultural Sciences", "Soil organic carbon", "sand", "Kenya", "Carbon", "Latin America and the Caribbean", "soil", "Soil", "Soil bulk density", "Sand", "soil organic matter", "Earth and Environmental Sciences", "Soil texture", "Murugusi", "Africa", "Clay", "Texture", "Western Kenya", "Agroecosystems and Sustainable Landscapes - ASL"], "contacts": [{"organization": "Piikki, Kristin, S\u00f6derstr\u00f6m, Mats, Sommer, Rolf, Da Silva, Mayesse,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/GVNJAB"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/GVNJAB", "name": "item", "description": "10.7910/DVN/GVNJAB", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/GVNJAB"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "093e9dc6-3ff7-4281-beec-1038640fad2c", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[33.91, -4.72], [33.91, 5.5], [41.89, 5.5], [41.89, -4.72], [33.91, -4.72]]]}, "properties": {"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": "2024-10-21", "type": "Service", "created": "2024-10-03", "language": "eng", "title": "Web Map Service of the dataset 'National-Scale High-Resolution Crop Condition Maps: Assessing Drought Impact on Croplands in Kenya Using Sentinel-2'", "description": "This Web Map Service includes spatial information used by datasets 'National-Scale High-Resolution Crop Condition Maps: Assessing Drought Impact on Croplands in Kenya Using Sentinel-2'", "keywords": ["infoMapAccessService", "agriculture", "drought", "climate change", "remote sensing", "agriculture", "drought", "climate change", "remote sensing", "Africa", "Kenya"], "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": "S. 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Although previous studies have determined the influence of herbivory on carbon storage in savanna ecosystems, little is known about the interactive effects of nutrients and herbivory. We determined the effects of long term grazing and short-term factorial nitrogen (N) and phosphorus (P) additions on aboveground biomass, soil organic matter (SOM) content, and plant nutrient storage. Grazing reduced aboveground biomass, foliar P and N stocks by 45%, 38% and 45%, respectively, compared to ungrazed plots, although the foliar P concentration was 20% greater in grazed plots. There was no significant increase in the aboveground biomass after nutrient addition despite increases in foliar N and P concentrations, suggesting that productivity was limited by a different resource (e.g., moisture). There were no significant interactions between nutrient enrichment and grazing. We conclude that grazing reduced aboveground biomass, but improved grass quality through increased foliar P concentration.", "keywords": ["2. Zero hunger", "0106 biological sciences", "Grazing", "Nitrogen", "Savanna", "0401 agriculture", " forestry", " and fisheries", "Phosphorus", "Nutrients", "04 agricultural and veterinary sciences", "15. Life on land", "Kenya", "01 natural sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.agee.2015.04.025"}, {"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.2015.04.025", "name": "item", "description": "10.1016/j.agee.2015.04.025", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agee.2015.04.025"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-10-01T00:00:00Z"}}, {"id": "10.1007/s11104-017-3401-z", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:14:53Z", "type": "Journal Article", "created": "2017-09-11", "title": "Biochemical Proxies Indicate Differences In Soil C Cycling Induced By Long-Term Tillage And Residue Management In A Tropical Agroecosystem", "description": "A potential benefit of conservation agriculture (CA) is soil organic carbon (SOC) accrual, yet recent studies indicate limited or no impact of CA on total SOC in tropical agroecosystems. We evaluated biochemical indicators of soil C cycling after 9\u00a0years (18 seasons) of contrasting tillage with and without maize residue retention in western Kenya. Potential activities of C-cycling enzymes (\u03b2-glucosidase, GLU; \u03b2-galactosidase, GAL; glucosaminidase, GLM; cellobiohydrolase, CEL), permanganate-oxidizable C (POXC), and soil organic matter (SOM) composition (by infrared spectroscopy) were measured. POXC tended to be greater under reduced tillage and residue retention, but did not significantly differ among treatments (\u2264 2% of SOC). Despite no significant differences in SOC concentrations or stocks, activities of all 4 C-cycling enzymes responded strongly to tillage, and to a lesser extent to residue management. Activities of GLU, GAL, and GLM were greatest under the combination of reduced tillage and residue retention relative to other treatments. Reduced tillage produced an enrichment in carboxyl C\u00a0=\u00a0O (+6%) and decreased polysaccharide C-O (\u22123.5%) relative to conventional tillage irrespective of residue management. Though enzyme activities and POXC are typically associated with SOC accrual, changes in soil C cycling at this site have not translated into significant differences in SOC after 9\u00a0years. Elevated enzyme activities may have offset potential SOC accumulation under CA. However, the ratio of C-cycling enzyme activities to SOC was higher under reduced tillage and residue retention relative to other treatments, indicating that stoichiometric scaling of SOC and enzyme activities does not explain absence of significant differences in SOC among tillage and residue managements. Potential factors that may explain the low SOC accrual rates in this tropical agroecosystem included the low, albeit realistic, levels of residue retention, nutrient limitations, and high temperatures favoring decomposition.", "keywords": ["glucosidase", "Conservation agriculture", "actividad enzim\u00e1tica", "residuos", "glucosidasa", "Tillage", "residue", "Enzyme activities", "2. Zero hunger", "Agricultural and Veterinary Sciences", "Soil organic carbon", "Agronomy & Agriculture", "04 agricultural and veterinary sciences", "Biological Sciences", "15. Life on land", "Kenya", "agricultura de conservaci\u00f3n", "enzyme activity", "soil organic carbon", "conservation agriculture", "Residue", "13. Climate action", "tillage", "0401 agriculture", " forestry", " and fisheries", "labranza", "Glucosidase", "Environmental Sciences"]}, "links": [{"href": "https://escholarship.org/content/qt3217p4kt/qt3217p4kt.pdf"}, {"href": "https://doi.org/10.1007/s11104-017-3401-z"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%20and%20Soil", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11104-017-3401-z", "name": "item", "description": "10.1007/s11104-017-3401-z", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11104-017-3401-z"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-09-08T00:00:00Z"}}, {"id": "10.1016/j.agee.2012.10.003", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:15:14Z", "type": "Journal Article", "created": "2012-11-22", "title": "Medium-Term Impact Of Tillage And Residue Management On Soil Aggregate Stability, Soil Carbon And Crop Productivity", "description": "Conservation agriculture is widely promoted for soil conservation and crop productivity increase, although rigorous empirical evidence from sub-Saharan Africa is still limited. This study aimed to quantify the medium-term impact of tillage (conventional and reduced) and crop residue management (retention and removal) on soil and crop performance in a maize\u2013soybean rotation. A replicated field trial was started in sub-humid Western Kenya in 2003, and measurements were taken from 2005 to 2008. Conventional tillage negatively affected soil aggregate stability when compared to reduced tillage, as indicated by lower mean weight diameter values upon wet sieving at 0\u201315 cm (PT < 0.001). This suggests increased susceptibility to slaking and soil erosion. Tillage and residue management alone did not affect soil C contents after 11 cropping seasons, but when residue was incorporated by tillage, soil C was higher at 15\u201330 cm (PT*R = 0.037). Lack of treatment effects on the C content of different aggregate fractions indicated that reduced tillage and/or residue retention did not increase physical C protection. The weak residue effect on aggregate stability and soil C may be attributed to insufficient residue retention. Soybean grain yields tended to be suppressed under reduced tillage without residue retention, especially in wet seasons (PT*R = 0.070). Consequently, future research should establish, for different climatic zones and soil types, the critical minimum residue retention levels for soil conservation and crop productivity.", "keywords": ["organic-matter dynamics", "crop residues", "agregados del suelo", "no-till", "yields", "nitrogen", "conservaci\u00f3n del suelo", "crop rotation", "2. Zero hunger", "rotaci\u00f3n de cultivos", "carbon", "soil conservation", "04 agricultural and veterinary sciences", "15. Life on land", "carbono", "protection", "stabilization", "conservation agriculture", "kenya", "soil aggregates", "africa", "tillage", "systems", "0401 agriculture", " forestry", " and fisheries", "labranza", "residuos de cosecha", "rendimiento", "africa al sur del sahara"]}, "links": [{"href": "https://doi.org/10.1016/j.agee.2012.10.003"}, {"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.2012.10.003", "name": "item", "description": "10.1016/j.agee.2012.10.003", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agee.2012.10.003"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-01-01T00:00:00Z"}}, {"id": "10.1016/j.cropro.2009.05.014", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:15:42Z", "type": "Journal Article", "created": "2009-06-29", "title": "Integration Of Edible Beans (Phaseolus Vulgaris L.) Into The Push\u2013Pull Technology Developed For Stemborer And Striga Control In Maize-Based Cropping Systems", "description": "Smallholder farming systems in eastern Africa are characterized by cereal/edible legume intercrops in fields severely constrained by parasitic weed, Striga hermonthica, cereal stemborers and declining soil fertility. The push\u2013pull technology concurrently addresses these constraints. It involves intercropping maize with stemborer repellent fodder legume, Desmodium spp. (push), with an attractant crop, Napier grass, Pennisetum purpureum (pull), planted around this intercrop, thus making it difficult to interplant edible legumes. We assessed farmers\u2019 practice and perceptions on intercropping and willingness to integrate beans in their push\u2013pull plots from a sample of 300 farmers in six districts in western Kenya. All the respondents traditionally intercropped maize with beans, planted either between the rows of maize, in the same holes with maize or in between maize plants within a row. The majority (92%) were willing to integrate beans in their push\u2013pull plots. We, therefore, evaluated effects of integrating beans in the maize\u2013desmodium intercrops. Treatments comprised a maize monocrop, maize\u2013bean intercrop and three maize\u2013desmodium intercrops, two of which were integrated with beans, either in the same holes with maize or in between maize plants in a row (bean integration plots). On-farm trials were similarly established among 56 farmers in four districts in western Kenya to assess the two integration methods. S. hermonthica counts and stemborer damage to maize were significantly lower and maize yields significantly higher in the maize\u2013desmodium and bean integration plots than in the other systems. Overall, integration of beans in the maize\u2013desmodium intercrops and the planting arrangement did not compromise the S. hermonthica and stemborer control efficacy of desmodium. Integration of beans significantly increased labour and total variable costs, with these being significantly higher in plots with both crops in different holes than in the same hole. Total revenue, gross benefits and benefit cost ratios did not significantly differ between the bean integration and maize\u2013desmodium intercrops. Furthermore, these parameters were for most part not affected by the planting arrangements, both on-station and on-farm. These results show that integration of beans in the maize\u2013desmodium and indeed push\u2013 pull technology while guaranteeing an additional crop, a protein source, to the farmers does not compromise the observed benefits of the technology but yields same economic benefits. Where labour is easily available, farmers are, however, advised to plant maize and beans in separate holes to avoid the risk of competition for moisture and nutrients where these might be limiting.", "keywords": ["580", "2. Zero hunger", "0106 biological sciences", "Push\u2013pull", "Stemborers", "Economics", "Bean", "Striga", "04 agricultural and veterinary sciences", "01 natural sciences", "Maize", "Farmers' perceptions", "Intercropping", "8. Economic growth", "0401 agriculture", " forestry", " and fisheries", "Western Kenya"]}, "links": [{"href": "https://doi.org/10.1016/j.cropro.2009.05.014"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Crop%20Protection", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.cropro.2009.05.014", "name": "item", "description": "10.1016/j.cropro.2009.05.014", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.cropro.2009.05.014"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-11-01T00:00:00Z"}}, {"id": "10.1016/j.farsys.2024.100081", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:15:59Z", "type": "Journal Article", "created": "2024-03-07", "title": "Determinants of soil and water conservation practices adoption by smallholder farmers in the central highlands of Kenya", "description": "The central highlands of Kenya play a vital role in supporting agricultural activities and sustaining the livelihoods of smallholder farmers. Despite its crucial role, the region faces substantial environmental challenges like soil erosion and land degradation, necessitating the adoption of sustainable land management practices. The aim of this study was to investigate the determinants of the adoption of Soil and Water Conservation Practices (SWCPs) among smallholder farmers in central Kenya. Primary data was collected from three administrative wards of Tharaka Nithi County (TNC) using 150 semi-structured household (HH) questionnaires, Key Informant Interviews (KII), and field observations. STATA and Microsoft Office Excel software were used to analyse the HH survey data, using descriptive statistics, inferential statistics, and the binary logistic regression model. Qualitative data from the KII was analysed through synthesized text summaries. The results show that 65.33 % of the respondents adopted SWCPs on their farms, while 34.67 % did not at the time of our study. The study findings further revealed that farm size (\u03b2\u00a0\u200b=\u00a0\u200b0.641; p\u00a0\u200b<\u00a0\u200b0.05), and Agro-ecological zone (AEZ) (\u03b2\u00a0\u200b=\u00a0\u200b1.341; p\u00a0\u200b<\u00a0\u200b0.05) positively influenced the adoption of SWCPs. On the other hand, distance from homestead to farm (\u03b2\u00a0\u200b=\u00a0\u200b\u22120.003; p\u00a0\u200b<\u00a0\u200b0.05), and age (\u03b2\u00a0\u200b=\u00a0\u200b\u22120.039; p\u00a0\u200b\u2264\u00a0\u200b0.05) negatively influenced the adoption of SWCPs by the farmers. Challenges in SWCPs implementation included inadequate capital (76.53 %), high labor costs (62.24 %), lack of technical knowledge (34.69 %), lack of infrastructure (17.35 %), and insecure land tenure (1.02 %). These study findings hold the potential to guide the TNC government in formulating tailored strategies that can foster the adoption and sustainable implementation of SWCPs among smallholder farmers. If properly implemented, the strategies will bolster agricultural productivity, mitigate soil erosion, and enhance the region's overall environmental and economic well-being.", "keywords": ["2. Zero hunger", "05.02. K\u00f6zgazdas\u00e1gi \u00e9s gazd\u00e1lkod\u00e1studom\u00e1nyok", "Agriculture (General)", "1. No poverty", "04 agricultural and veterinary sciences", "15. Life on land", "ddc:910", "Soil fertility", "Smallholder farmers", "Binary logistic model", "01 natural sciences", "S1-972", "12. Responsible consumption", "Mount Kenya east", "11. Sustainability", "Soil erosion", "0401 agriculture", " forestry", " and fisheries", "Sustainable management", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://publicatio.bibl.u-szeged.hu/37448/1/34763630.pdf"}, {"href": "https://doi.org/10.1016/j.farsys.2024.100081"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Farming%20System", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.farsys.2024.100081", "name": "item", "description": "10.1016/j.farsys.2024.100081", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.farsys.2024.100081"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-04-01T00:00:00Z"}}, {"id": "10.1016/j.eja.2013.02.005", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:15:49Z", "type": "Journal Article", "created": "2013-03-16", "title": "Managing Tephrosia Mulch And Fertilizer To Enhance Coffee Productivity On Smallholder Farms In The Eastern African Highlands", "description": "Abstract In Maraba, Southwest Rwanda, coffee productivity is constrained by poor soil fertility and lack of organic mulch. We investigated the potential to produce mulch by growing Tephrosia vogelii either intercropped with smallholder coffee or in arable fields outside the coffee, and the effect of the mulch on coffee yields over two years. Two accessions of T. vogelii (ex. Gisagara, Rwanda and ex. Kisumu, Kenya) were grown for six months both within and outside smallholder coffee fields in the first year. Experimental blocks were replicated across eight smallholder farms, only a single replicate per farm due to the small farm sizes. The accession from Rwanda (T. vogelii ex. Gisagara) grew more vigorously in all experiments. Soils within the coffee fields were more fertile those outside the coffee fields, presumably due to farmers\u2019 long-term management with mulch. Tephrosia grew less well in the fields outside coffee, producing only 0.6\u20130.7\u00a0Mg\u00a0ha\u22121 of biomass and adding (in kg\u00a0ha\u22121) 19 N, 1 P and 6 K in the mulch. By contrast, Tephrosia intercropped with coffee, produced 1.4\u20131.9\u00a0Mg\u00a0ha\u22121 of biomass and added (in kg\u00a0ha\u22121) 42\u201357 N, 3 P and 13\u201316 K in the mulch. Coffee yields were increased significantly by 400\u2013500\u00a0kg\u00a0ha\u22121 only in the treatments where Tephrosia was intercropped with coffee. Soil analysis and a missing-nutrient pot experiment showed that the poor growth of Tephrosia in the fields outside coffee was due to soil acidity (aluminium toxicity) combined with deficiencies of P, K and Ca. In the second year, the treatments in fields outside coffee were discontinued, and in the coffee intercrops, two Tephrosia accessions were grown in treatments with and without NPK fertilizer. Tephrosia grew well and produced between 2.5 and 3.8\u00a0Mg\u00a0ha\u22121 biomass for the two accessions when interplanted within coffee fields, adding 103\u2013150\u00a0kg\u00a0N\u00a0ha\u22121, 5\u20139\u00a0kg\u00a0P\u00a0ha\u22121 and 24\u201338\u00a0kg\u00a0K\u00a0ha\u22121. Tephrosia mulch increased yields of coffee by 400\u00a0kg\u00a0ha\u22121. Combined use of NPK\u00a0+\u00a0Tephrosia mulch increased Tephrosia biomass production and in turn yielded an additional 300\u2013700\u00a0kg\u00a0ha\u22121 of coffee. Over the two years, this was equivalent to a 23\u201336% increase in coffee yield using Tephrosia intercropping alone and a further 25\u201342% increase in coffee yield when NPK fertilizer was also added. Agronomic efficiency (AE) of nutrients added were 30% greater when the Tephrosia mulch was grown in situ and the two cultivars of Tephrosia did not differ in AE. The AE of Tephrosia mulch was 87% that of NPK fertilizer, reflecting the rapid mineralization of Tephrosia mulch. There was a synergistic effect of Tephrosia mulch on the efficiency with which NPK fertilizer was used by coffee. The increase in coffee yields was positively related to the amount of nutrients added in the Tephrosia biomass. Tephrosia intercropping required 30 man-days\u00a0ha\u22121 less than current farmer management due to reduced labour required for weeding, and benefit\u2013cost ratios ranged between 3.4 and 5.5. The Tephrosia-coffee intercropping system offers great potential for agroecological intensification for smallholder farmers in the East African highlands.", "keywords": ["2. Zero hunger", "decomposition", "variability", "tephrosia", "coffee", "nitrogen release", "western kenya", "resource-allocation", "cropping systems", "04 agricultural and veterinary sciences", "smallholder farmer", "15. Life on land", "improved fallows", "bukoba district", "0401 agriculture", " forestry", " and fisheries", "cover crops", "intercropping", "management"]}, "links": [{"href": "https://doi.org/10.1016/j.eja.2013.02.005"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/European%20Journal%20of%20Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.eja.2013.02.005", "name": "item", "description": "10.1016/j.eja.2013.02.005", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.eja.2013.02.005"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-07-01T00:00:00Z"}}, {"id": "10.1016/j.fcr.2014.08.004", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:16:00Z", "type": "Journal Article", "created": "2014-09-16", "title": "Benefits Of Legume\u2013Maize Rotations: Assessing The Impact Of Diversity On The Productivity Of Smallholders In Western Kenya", "description": "Abstract Agricultural intensification of farming systems in sub-Saharan Africa is a prerequisite to alleviate rural poverty and improve livelihoods. Legumes have shown great potential to enhance system productivity. On-farm experiments were conducted in different agro-ecological zones (AEZ) in Western Kenya to assess the agronomic and economic benefits of promising legumes. In each zone, trials were established in fields of high, medium and low fertility to assess the effect of soil fertility heterogeneity on legume productivity and subsequent maize yield. Common bean, soybean, groundnut, lima bean, lablab, velvet bean, crotalaria, and jackbean were grown in the short rains season, followed by maize in the long rains season. Alongside, continuous maize treatments fertilised at different rates were established. AEZs and soil fertility gradients within these zones greatly affected crop productivity, returns to land and labour of rotations, as well as the relative performance of rotations. Poorer soil fertility and AEZs with lower rainfall gave smaller legume and maize yields and consequently, smaller returns to land and labour. The cultivation of legumes increased maize yields in the subsequent long rains season compared with continuous maize receiving fertiliser at a similar rate, while the increase of maize after green manure legumes was stronger than that after grain legumes. Maize yield responded strongly to increasing amounts of N applied as legume residues with diminishing returns to legume-N application rates above 100\u00a0kg\u00a0N\u00a0ha\u22121. In the low potential zones, factors other than improved N availability likely also stimulated maize yield. Rotations with grain legumes generally provided better returns than those with green manures. Intercropping bean with maize in the long rains season provided an additional bean yield that did not come at the expense of maize yield and improved returns to land and labour, but more so in the high potential zones. The results demonstrate the strong impact of biophysical diversity on the productivity of the legumes and suggest the need for careful targeting of legume technologies to the different biophysical conditions.", "keywords": ["2. Zero hunger", "semiarid kenya", "soil fertility", "legumes", "sustainable intensification", "cattle manure", "1. No poverty", "04 agricultural and veterinary sciences", "15. Life on land", "maize", "exploring diversity", "nitrogen", "economic analysis", "soybean glycine-max", "soil fertility management", "biophysics", "on-farm productivity", "0401 agriculture", " forestry", " and fisheries", "farming systems", "crop-livestock systems", "degraded soils"]}, "links": [{"href": "https://doi.org/10.1016/j.fcr.2014.08.004"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Field%20Crops%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.fcr.2014.08.004", "name": "item", "description": "10.1016/j.fcr.2014.08.004", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.fcr.2014.08.004"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-11-01T00:00:00Z"}}, {"id": "10.1016/j.still.2008.05.016", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:17:03Z", "type": "Journal Article", "created": "2008-09-10", "title": "Effect Of Organic And Inorganic Nutrient Sources On Soil Mineral Nitrogen And Maize Yields In Central Highlands Of Kenya", "description": "Abstract High population pressure in the central highlands of Kenya has led to continuous cultivation of land with minimal additional inputs leading to soil nutrient depletion. Research work has reported positive results from use of manure and biomass from Tithonia , Calliandra , Leucaena , Mucuna and Crotolaria for soil fertility replenishment. An experimental field was set up in Chuka Division to test different soil nutrient replenishment treatments. The experimental design was randomised complete block with 14 treatments replicated three times. At the beginning and end of the experiment, soil was sampled at 0\u201315\u00a0cm depth and analysed for pH, Ca, Mg, K, C, N and P. End of the 2000/2001 short rains (SR) season and 2001 long rains (LR) season, soil samples were taken at 0\u201330, 30\u2013100 and 100\u2013150\u00a0cm for nitrate and ammonium analysis. All the treatments received an equivalent of 60\u00a0kg\u00a0N\u00a0ha \u22121 , except herbaceous legume treatments, where N was determined by the amount of the biomass harvested and incorporated in soil and control treatment received no inputs. Results indicate soil fertility increased slightly in all treatments (except control) over the 2-year study period. Average maize grain yield across the treatments was 1.1, 5.4, 3.5 and 4.0\u00a0Mg\u00a0ha \u22121 during the 2000 LR, 2000/2001 SR, 2001 LR and 2001/2002 SR, respectively. The reduced yield in 2000 LR and 2001 LR are attributed to poor rainfall distribution during the two seasons. On average, Tithonia with half recommended rate of inorganic fertilizer recorded the highest (4.8\u00a0Mg\u00a0ha \u22121 ) maize yield followed by sole Tithonia (4.7\u00a0Mg\u00a0ha \u22121 ). Highest average concentration (144.8 and 115.5\u00a0kg\u00a0N\u00a0ha \u22121 ) of mineral N was recorded at the 30\u2013100\u00a0cm soil depth at the end of both 2000/2001 SR and LR, respectively. The lowest average concentration (67.1\u00a0kg\u00a0N\u00a0ha \u22121 ) was recorded in the 100\u2013150\u00a0cm soil depth in both seasons, while during the 2001 LR, the 0\u201330\u00a0cm soil depth recorded the lowest concentration (52.3\u00a0kg\u00a0N\u00a0ha \u22121 ). The residual mineral N in the 100\u2013150\u00a0cm soil depth doubled at the end of the LR 2001 compared to what was present and the end of the SR 2000/2001 season in all treatments. This shows that there is substantial amount of mineral N that is being leached below the rooting zone of maize in this region.", "keywords": ["2. Zero hunger", "Long rains", "Central highlands of Kenya", "Herbaceous legumes", "Short rains", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "Maize yield", "15. Life on land", "Biomass transfer", "630", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.1016/j.still.2008.05.016"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20and%20Tillage%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.still.2008.05.016", "name": "item", "description": "10.1016/j.still.2008.05.016", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.still.2008.05.016"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-05-01T00:00:00Z"}}, {"id": "10.1088/1748-9326/abe25c", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:18:15Z", "type": "Journal Article", "created": "2021-02-03", "title": "Dominant contribution of nitrogen compounds in precipitation chemistry in the Lake Victoria catchment (East Africa)", "description": "Abstract

This work provides a complete chemical characterization of rains collected in the tropical rural site of Mbita (Kenya) on the shores of Lake Victoria (annual rainfall 1259.3 mm). We present a wet nitrogen deposition budget including inorganic and organic dissolved nitrogen in relation with atmospheric sources of gases and particles, precipitation rate and air mass transport. A unique 2 yr monitoring data set (2017\uffe2\uff80\uff932019), providing 183 rain samples was collected and analyzed according to international standards (WMO/GAW). Considering that precipitation represents the largest contributor of water to the Lake Victoria (80%), this study gives new insights in the seasonality of nutrients wet deposition (WD) inputs in the unique natural resource represented by Lake Victoria and its catchment. Four main contributions to the chemical composition of precipitation, were identified: (a) a 28% terrigenous contribution related to crustal and biomass sources, (b) a 14% marine contribution related to Indian ocean air masses intrusion, (c) a 15% organic contribution due to volatile organic carbon emissions from biomass burning and vegetation and (d) a predominant nitrogenous contribution of 39% due to livestock and fertilizers, biomass burning and neighboring agricultural fires. Ammonium and nitrate volume weighed mean concentrations are 36.75 and 8.88 \uffce\uffbceq l\uffe2\uff88\uff921, respectively. Rain in Mbita is alkaline (pH = 5.8) highlighting neutralization by heterogeneous chemistry. Total nitrogen WD is 8.54 kgN ha\uffe2\uff88\uff921 yr\uffe2\uff88\uff921, 58\uffe2\uff80\uff89760 tN yr\uffe2\uff88\uff921 for the entire lake, with 26% attributed to dissolved organic nitrogen. A total atmospheric deposition of 15 kgN ha\uffe2\uff88\uff921 yr\uffe2\uff88\uff921 is estimated taking into account dry deposition estimate from literature, showing that the Lake Victoria ecosystem is exposed to eutrophication. An extensive and regular monitoring of wet and dry nitrogen deposition is highly recommended both in-shore and off-shore to help improving the efficiency of nitrogen use in agricultural areas and reduce nitrogen losses around Lake Victoria.

", "keywords": ["[SDE] Environmental Sciences", "Science", "Physics", "QC1-999", "Q", "15. Life on land", "Kenya", "Environmental technology. Sanitary engineering", "01 natural sciences", "6. Clean water", "Environmental sciences", "nitrogen wet deposition budget", "precipitation chemistry", "13. Climate action", "[SDU.STU.GC] Sciences of the Universe [physics]/Earth Sciences/Geochemistry", "wet deposition", "GE1-350", "14. Life underwater", "TD1-1066", "Lake Victoria basin", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1088/1748-9326/abe25c"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Research%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1088/1748-9326/abe25c", "name": "item", "description": "10.1088/1748-9326/abe25c", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1088/1748-9326/abe25c"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-04-01T00:00:00Z"}}, {"id": "10.2307/3237009", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:20:28Z", "type": "Journal Article", "created": "2007-02-03", "title": "Effects Of Nutrients And Shade On Tree-Grass Interactions In An East African Savanna", "description": "

Abstract. Savanna trees have a multitude of positive and negative effects on understorey grass production, but little is known about how these effects interact. We report on a fertilization and shading experiment carried out in a Tanzanian tropical dry savanna around Acacia tortilis trees. In two years of study there was no difference in grass production under tree canopies or in open grassland. Fertilization, however, indicate that trees do affect the nutrient limitation of the grass layer with an N\uffe2\uff80\uff90limited system in open grassland to a P\uffe2\uff80\uff90limited system under the trees. The N:P ratios of grass gave a reliable indication of the nature of nutrient limitation, but only when assessed at the end of the wet season. Mid\uffe2\uff80\uff90wet season nutrient concentrations of grasses were higher under than outside the tree canopy, suggesting that factors other than nutrients limit grass production. A shading experiment indicated that light may be such a limiting factor during the wet season when water and nutrients are sufficiently available. However, in the dry season when water is scarce, the effect of shade on plant production became positive. We conclude that whether trees increase or decrease production of the herbaceous layer depends on how positive effects (increased soil fertility) and negative effects (shade and soil water availability) interact and that these interactions may significantly change between wet and dry seasons.

", "keywords": ["2. Zero hunger", "0106 biological sciences", "productivity", "growth", "04 agricultural and veterinary sciences", "15. Life on land", "herbivores", "01 natural sciences", "nitrogen", "kenya", "vegetation", "limitation", "0401 agriculture", " forestry", " and fisheries", "light-intensity", "competition", "environments"]}, "links": [{"href": "https://doi.org/10.2307/3237009"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Vegetation%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2307/3237009", "name": "item", "description": "10.2307/3237009", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2307/3237009"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2001-02-24T00:00:00Z"}}, {"id": "10.5194/isprs-archives-XLII-3-1263-2018", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:49Z", "type": "Journal Article", "created": "2018-05-01", "title": "IMPROVING LAND COVER MAPPING: A MOBILE APPLICATION BASED ON ESA SENTINEL 2 IMAGERY", "description": "

Abstract. The increasing availability of satellite data is a real value for the enhancement of environmental knowledge and land management. Possibilities to integrate different source of geo-data are growing and methodologies to create thematic database are becoming very sophisticated. Moreover, the access to internet services and, in particular, to web mapping services is well developed and spread either between expert users than the citizens. Web map services, like Google Maps or Open Street Maps, give the access to updated optical imagery or topographic maps but information on land cover/use \uffe2\uff80\uff93 are not still provided. Therefore, there are many failings in the general utilization \uffe2\uff80\uff93non-specialized users- and access to those maps. This issue is particularly felt where the digital (web) maps could form the basis for land use management as they are more economic and accessible than the paper maps. These conditions are well known in many African countries where, while the internet access is becoming open to all, the local map agencies and their products are not widespread.

", "keywords": ["Tanzania; Kenya; Crowd-generating data; Rift Valley; Fluoride; Sentinel", "Technology", "T", "11. Sustainability", "0211 other engineering and technologies", "Applied optics. Photonics", "02 engineering and technology", "TA1-2040", "15. Life on land", "Engineering (General). Civil engineering (General)", "01 natural sciences", "TA1501-1820", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://iris.unica.it/bitstream/11584/245765/1/isprs-archives-XLII-3-1263-2018.pdf"}, {"href": "https://isprs-archives.copernicus.org/articles/XLII-3/1263/2018/isprs-archives-XLII-3-1263-2018.pdf"}, {"href": "https://doi.org/10.5194/isprs-archives-XLII-3-1263-2018"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20International%20Archives%20of%20the%20Photogrammetry%2C%20Remote%20Sensing%20and%20Spatial%20Information%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/isprs-archives-XLII-3-1263-2018", "name": "item", "description": "10.5194/isprs-archives-XLII-3-1263-2018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/isprs-archives-XLII-3-1263-2018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-04-30T00:00:00Z"}}, {"id": "10.5281/zenodo.17067540", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:23:05Z", "type": "Dataset", "title": "Potential annual soil loss by erosion (RUSLE), Kenya", "description": "unspecifiedDISCLAIMER: These soil property maps were generated at a resolution of 100m, with the best available data at the time of production, including global datasets and legacy national level data, using digital soil mapping and GIS modelling. The derived products are provided 'as-is' without any warranty, regarding accuracy, completeness or fitness for a particular purpose. Users are advised to verify the information independently before making decisions based on it. Additionally, users should assess the local 'predictive' accuracy of the maps prior to using them for making recommendations at local (or field) level. The designations employed and the presentation of material in this information product do not imply the expression of any opinion whatsoever on the part of ISRIC concerning the legal status of any country, territory, city or area or of is authorities, or concerning the delimitation of its frontiers or boundaries. Despite the fact that this product is created with utmost care, the author(s) and/or publisher(s) and/or ISRIC cannot be held liable for any damage caused by the use of this portal or any content therein in whatever form, whether or not caused by possible errors or faults nor for any consequences thereof.", "keywords": ["Soil", "Land", "Mapping", "Soil erosion", "RUSLE", "Agriculture", "Crop production", "Kenya", "Modelling"], "contacts": [{"organization": "Colman, Betony", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.17067540"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.17067540", "name": "item", "description": "10.5281/zenodo.17067540", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.17067540"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-09-06T00:00:00Z"}}, {"id": "10.7910/DVN/3TMNON", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:24:20Z", "type": "Dataset", "title": "Replication Data for: Assessing the Downstream Socioeconomic and Land Health Impacts of Agroforestry in Kenya", "description": "Agroforestry is widely purported to improve the livelihoods of smallholder farmers, rehabilitate degraded landscapes, and enhance the provisioning of critical ecosystem services, including carbon sequestration. Yet, the evidence base supporting these longer-term impacts is weak. Using a quasi-experimental evaluation design based on a theory-based and mixed methods framework, we investigated both the downstream and intermediate effects of a nine year effort led by Vi Agroforestry (herein Vi), a Swedish non-governmental organization (NGO), to promote agroforestry in large sections of Bungoma and Kakamega counties in western Kenya. In particular, we compared two sets of households against various outcome measures along the causal chain: those belonging to (a) 226 pre-existing farmer groups operating in 60 targeted programme villages; and (b) 206 pre-existing farmer groups operating in 61 geospatially matched comparison (non-programme) villages. To further counter selection bias, we combined several econometric analytical methods, including two-stage least squares regression (2SLS), with difference-in-differences estimation. In addition, to triangulate key findings and interrogate impact pathways, unforeseen outcomes, and unexpected quantitative results, we carried out semi-structured in-depth interviews with a sub-sample of 40 purposively selected programme participants. We also applied process tracing to investigate the linkages between Vi\u2019s programme and previous agroforestry research carried out by the World Agroforestry Centre (ICRAF). We found these research-to-programme linkages to be strong, and that greater\u2014albeit variable and generally modest\u2014programme exposure and agroforestry uptake took place among the farmer groups Vi targeted. Similarly, significant, yet again variable, effects were also identified for agroforestry product income, fuelwood access, and milk yields among dairy farmers. Soil organic carbon (estimated through remote sensing) increased at a higher rate overall in the sampled farm plots of the programme villages, but, ironically, so too did soil erosion. Finally, we found limited evidence that the programme significantly bolstered food security, shock resilience, and education progression and spending. However, we identified statistically significant\u2014although, again, modest\u2014 programme effects for our asset and consumption expenditure measures (which includes our primary outcome variable), particularly among households represented by female programme participants.", "keywords": ["FOS: Economics and business", "Agricultural Sciences", "Earth and Environmental Sciences", "Impact assessment", "Social Sciences", "Econometrics", "Agroforestry", "Kenya"], "contacts": [{"organization": "Karl Hughes, Seth Morgan, Baylis, Kathy, Oduol, Judith, Smith-Dumont, Emilie, Tor-Gunnar Vagen, Mutemi, Mary, Mutemi, Mary, LePage, Claire, Kegode, Hilda,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/3TMNON"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/3TMNON", "name": "item", "description": "10.7910/DVN/3TMNON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/3TMNON"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/1AN9GO", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:24:19Z", "type": "Dataset", "title": "Edaphic and Topographic Constraints on Exploitation of the Central Kenya Rift by Large Mammals and Early Hominins", "description": "Soil samples were analysed using standard protocols provided by KALRO (Kenya Agricultural and Livestock Research Organisation). For thin soils, we generally sampled the uppermost horizon (<25cm). Soil and plant tissue analysis was carried out at the KALRO laboratories. During field seasons in 2013 and 2014 a total of 163 soil samples and 160 plant tissue samples in the Kenya Rift from Lake Magadi in the south to Lake Baringo in the north. All samples were tested for concentration of the following trace elements and nutrients: calcium (Ca), copper (Cu), iron (Fe), manganese (Mn), magnesium (Mg), nitrogen (N), potassium (K), sodium (Na), phosphorus (P), and zinc (Zn). Further, soil samples were tested for pH-value, electrical conductivity, and total organic carbon (Table S1). Water samples from springs and boreholes around Lake Elmenteita to test for fluoride are also shown. The location of sample sites are tabulated (Table S2). The consequences of excess or deficiency of certain elements are shown in Table S3.", "keywords": ["Central Kenya Rift", "Edaphic and Topographic Constraints", "Agricultural Sciences", "Soil edaphics", "Lake Magadi", "Kariandusi", "soil analyses", "Lake Baringo", "Nakuru", "Medicine", " Health and Life Sciences", "Complex topography", "Earth and Environmental Sciences", "Hominins", "African Mammals", "Tectonic landscapes", "Site formation", "Acheulean"], "contacts": [{"organization": "K\u00fcbler, Simon, Rucina, Stephen, Reynolds, Sally, Owenga. Peter, Bailey, Geoffrey, King, Geoffrey,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/1AN9GO"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/1AN9GO", "name": "item", "description": "10.7910/DVN/1AN9GO", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/1AN9GO"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/FNEGDP", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:24:20Z", "type": "Dataset", "title": "Current and future forage suitability maps for Ethiopia and Kenya", "description": "This data was produced using Targeting Tools \u2013 a web-based GIS tool, which matches a suitability criteria that include climate and environmental requirements for each of the forage varieties with a spatial database that\u2019s comprises organic carbon, soil PH, annual precipitation, mean temperature, growing days and elevation data to characterize the suitability.", "keywords": ["Forage", "Agricultural Sciences", "Forage suitability", "Agrobiodiversity - AGBIO", "Earth and Environmental Sciences", "Maps", "Africa", "forage", "Ethiopia", "Agroecosystems and Sustainable Landscapes - ASL", "Kenya"], "contacts": [{"organization": "Mutua, John, Notenbaert, An,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/FNEGDP"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/FNEGDP", "name": "item", "description": "10.7910/DVN/FNEGDP", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/FNEGDP"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/ESK6BB", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:24:20Z", "type": "Dataset", "title": "Current and future forage suitability maps for Rwanda and Tanzania", "description": "This data was produced using Targeting Tools \u2013 a web-based GIS tool, which matches a suitability criteria that include climate and environmental requirements for each of the forage varieties with a spatial database that\u2019s comprises organic carbon, soil PH, annual precipitation, mean temperature, growing days and elevation data to characterize the suitability.", "keywords": ["rwanda", "kenya", "Forage", "Agricultural Sciences", "Forage suitability", "Agrobiodiversity - AGBIO", "Earth and Environmental Sciences", "Maps", "Africa", "Rwanda", "forage", "Agroecosystems and Sustainable Landscapes - ASL", "Kenya"], "contacts": [{"organization": "Mutua, John, Notenbaert, An,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/ESK6BB"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/ESK6BB", "name": "item", "description": "10.7910/DVN/ESK6BB", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/ESK6BB"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/HE6CEM", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:24:20Z", "type": "Dataset", "title": "An integrated approach for understanding the factors that facilitate or constrain the adoption of soil carbon enhancing practices in East Africa, specifically Western Kenya", "description": "The survey data on soil carbon enhancing practices in western Kenya is systematically organized in Microsoft Excel tables. The data entails general household characteristics, plot characteristics, practices implemented, yield, inputs, livestock ownership, social capital, access to credit, access to extension services and sources of income.", "keywords": ["Land Management", "Agricultural Sciences", "Soil carbon enhancing practices", "land management", "Low soil fertility", "Kenya", "soil", "Soil", "Earth and Environmental Sciences", "Natural Resources", "Africa", "agricultural economics", "Decision and Policy Analysis - DAPA", "Western Kenya", "natural resources", "Agricultural Economics"], "contacts": [{"organization": "Ng\u2019ang\u2019a, Stanley Karanja, George Magambo, Kanyenji, Jalang'o, Dorcas Anyango, Nguru, Wilson Maina, Girvetz, Evan,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/HE6CEM"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/HE6CEM", "name": "item", "description": "10.7910/DVN/HE6CEM", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/HE6CEM"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "11071/5242", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-25T16:24:45Z", "type": "Report", "title": "A Comparative study on the admissibility of digital evidence in criminal courts in Kenya", "description": "Submitted in partial fulfillment of the requirements of the Bachelor of Laws Degree, Strathmore University Law School Section 106B of the Evidence Act of Kenya regulates the admissibility of digital evidence in Kenya. With the evolution of technology, questions can be raised as to whether the standards for admissibility outlined in Section 106B are sufficient. This research critiques the sufficiency of standards of admissibility of evidence outlined in Section 106B. It does so by engaging in a comparative study of the standards used in the UK and in South Africa. The study arrives at the conclusion that the standards of admissibility currently in place offer too wide investigatory powers for law enforcement. These powers are subject to abuse and may result in compromising the integrity of digital evidence. The standards in Section 106B offer little guidance for law enforcement and criminal justice partners in admitting digital evidence. With the evolution of technology as well as the primacy placed on personal liberties such as the right to privacy, more stringent rules must be developed. In order to complement the standards outlined in section 106B, guidelines should be developed. These guidelines could either be general or sectoral. They should be reviewed constantly in order to keep up with the latest technology trends. The guidelines to be developed should guide law enforcement and criminal justice partners in the collection, analysis, presentation and preservation of digital evidence in order to prevent adverse rulings.", "keywords": ["340", "Digital Evidence", "Admissibility", "Criminal Courts", "16. Peace & justice", "Kenya"], "contacts": [{"organization": "Chepkemoi, Maritim Purity", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/11071/5242"}, {"rel": "self", "type": "application/geo+json", "title": "11071/5242", "name": "item", "description": "11071/5242", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11071/5242"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-01-01T00:00:00Z"}}, {"id": "311b541a-ebeb-44bf-9aea-1c715f371295", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[35.85, -0.68], [35.85, -0.11], [36.34, -0.11], [36.34, -0.68], [35.85, -0.68]]]}, "properties": {"themes": [{"concepts": [{"id": "environment"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}], "updated": "2018-06-27T09:00:34Z", "type": "Dataset", "language": "eng", "title": "Unvalidated landcover classifications for Nakuru National Park, Kenya - generated by JRC for 1990, 2000 and 2010", "description": "Landcover segments created using JRC's IMPACT classification tool for Lake Nakuru designated protected area, and a buffer of 20km surrounding it. These segments show automatically-derived landcover for the years 1990, 2000 and 2010, but this has not yet been validated by experts. The classes are as follows: 00=no data (no data available) - 01=tree cover (>70% of tree cover) - 07 =tree cover mosaic (30-70% of tree cover) - 09=other wooded land (>70% of other wooded land) - 11=bare soil (low vegetation cover (more than 4%)) - 12=agriculture (planted vegetation) - 13=water (>50% of water) - 14=other land (>70% of other land cover) - 15=cloud/shadow (>10% of clouds and shadows) - 16=urban/artificial (impervious surface, buildings).", "formats": [{"name": "WWW:LINK-1.0-http--link"}, {"name": "WWW:DOWNLOAD-1.0-http--download"}, {"name": "OGC:WMS"}], "keywords": ["features", "nakuru", "protected areas", "Global", "Africa", "Central Africa", "East Africa", "Kenya", "Asia", "East Asia", "South Asia", "Pacific", "Kiribati"], "contacts": [{"name": null, "organization": null, "position": null, "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "igad@geonode.igad.int"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}]}, "links": [{"href": "http://geonode.igad.int/layers/geonode:nakuru", "description": "Online link to the 'Unvalidated landcover classifications for Nakuru National Park, Kenya - generated by JRC for 1990, 2000 and 2010' description on GeoNode", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "http://geonode.igad.int/download/337", "name": "geonode:nakuru.zip", "description": "Unvalidated landcover classifications for Nakuru National Park, Kenya - generated by JRC for 1990, 2000 and 2010 (Original Dataset Format)", "protocol": "WWW:DOWNLOAD-1.0-http--download", "rel": null}, {"href": "http://geonode.igad.int/gs/ows?layers=geonode%3Anakuru&service=WMS&format=image%2Fjpeg&request=GetMap&height=550&width=472&bbox=35.850000000000001%2C-0.680000000000000%2C36.340000000000003%2C-0.110000000000000&srs=EPSG%3A4326", "name": "geonode:nakuru.jpg", "description": "Unvalidated landcover classifications for Nakuru National Park, Kenya - generated by JRC for 1990, 2000 and 2010 (JPEG Format)", "protocol": "WWW:DOWNLOAD-1.0-http--download", "rel": null}, {"href": "http://geonode.igad.int/gs/ows?layers=geonode%3Anakuru&service=WMS&format=application%2Fpdf&request=GetMap&height=550&width=472&bbox=35.850000000000001%2C-0.680000000000000%2C36.340000000000003%2C-0.110000000000000&srs=EPSG%3A4326", "name": "geonode:nakuru.pdf", "description": "Unvalidated landcover classifications for Nakuru National Park, Kenya - generated by JRC for 1990, 2000 and 2010 (PDF Format)", "protocol": "WWW:DOWNLOAD-1.0-http--download", "rel": null}, {"href": "http://geonode.igad.int/gs/ows?layers=geonode%3Anakuru&service=WMS&format=image%2Fpng&request=GetMap&height=550&width=472&bbox=35.850000000000001%2C-0.680000000000000%2C36.340000000000003%2C-0.110000000000000&srs=EPSG%3A4326", "name": "geonode:nakuru.png", "description": "Unvalidated landcover classifications for Nakuru National Park, Kenya - generated by JRC for 1990, 2000 and 2010 (PNG Format)", "protocol": "WWW:DOWNLOAD-1.0-http--download", "rel": null}, {"href": "http://geonode.igad.int/gs/ows", "name": "geonode:nakuru", "description": "remoteWorkspace Service - Provides Layer: Unvalidated landcover classifications for Nakuru National Park, Kenya - generated by JRC for 1990, 2000 and 2010", "protocol": "OGC:WMS", "rel": null}, {"href": "/static/geonode/img/missing_thumb.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "311b541a-ebeb-44bf-9aea-1c715f371295", "name": "item", "description": "311b541a-ebeb-44bf-9aea-1c715f371295", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/311b541a-ebeb-44bf-9aea-1c715f371295"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date-time": "2018-06-27T09:00:34Z"}}, {"id": "4648929a-8031-49cc-9d56-9f3aeff2f8d9", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[33.9, -4.7], [33.9, 5.4], [41.9, 5.4], [41.9, -4.7], [33.9, -4.7]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil science"}], "scheme": "Stratum"}, {"concepts": [{"id": "Africa"}, {"id": "East-Africa"}, {"id": "Kenya"}], "scheme": "Region"}], "updated": "2021-07-14T11:52:19", "type": "Dataset", "language": "eng", "title": "SOTER-based soil parameter estimates (SOTWIS) for Kenya", "description": "This harmonized set of soil parameter estimates for Kenya (KENSOTER), at scale 1:1M, compiled by the Kenya Soil Survey. The land surface of the Republic of Kenya - excluding lakes and towns - has been characterized using 397 unique SOTER units corresponding with 623 soil components. The major soils have been described using 495 profiles, which include 178 synthetic profiles, selected by national soil experts as being representative for these units. The associated soil analytical data have been derived from soil survey reports and expert knowledge. Gaps in the measured soil profile data have been filled using a step-wise procedure which includes three main stages: (1) collate additional measured soil analytical data where available; (2) fill gaps using expert knowledge and common sense; (3) fill the remaining gaps using a scheme of taxotransfer rules.\n\nParameter estimates are presented by soil unit for fixed depth intervals of 0.2 m to 1 m depth for: organic carbon, total nitrogen, pH(H2O), CECsoil, CECclay, base saturation, effective CEC, aluminum saturation, CaCO3 content, gypsum content, exchangeable sodium percentage (ESP), electrical conductivity of saturated paste (ECe), bulk density, content of sand, silt and clay, content of coarse fragments, and available water capacity. These attributes have been identified as being useful for agro-ecological zoning, land evaluation, crop growth simulation, modelling of soil carbon stocks and change, and analyses of global environmental change. The current parameter estimates should be seen as best estimates based on the current selection of soil profiles and data clustering procedure. Taxotransfer rules have been flagged to provide an indication of the possible confidence in the derived data. Results are presented as summary files and can be linked to the 1:1M scale SOTER map for Kenya in a GIS, through the unique SOTER-unit code. The secondary data are considered appropriate for studies at the national scale (1:1M). Correlation of soil analytical data, however, should be done more rigorously when more detailed scientific work is considered.", "formats": [{"name": "zip"}, {"name": "WWW:DOWNLOAD-1.0-ftp--download"}, {"name": "WWW:LINK-1.0-http--related"}], "keywords": ["calcium", "carbon", "cation exchange capacity", "electrical conductivity", "nitrogen", "organic matter", "bulk density", "soil profiles", "pH", "salinity", "texture", "water holding capacity", "nutrients", "Soil science", "Africa", "East-Africa", "Kenya"], "contacts": [{"name": "Niels Batjes", "organization": "ISRIC - World Soil Information", "position": "Senior Soil Scientist", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "niels.batjes@isric.org"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}], "denominator": "1000000"}, "links": [{"href": "https://files.isric.org/public/sotwis/SOTWIS_KEN.zip", "name": "Download", "protocol": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://isric.org/projects/harmonized-continental-soter-derived-database-sotwis", "name": "Project webpage", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://isric.org/sites/default/files/isric_report_2004_01.pdf", "name": "Report", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://files.isric.org/public/thumbnails/sotwis/SOTWIS_KEN.jpg", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "4648929a-8031-49cc-9d56-9f3aeff2f8d9", "name": "item", "description": "4648929a-8031-49cc-9d56-9f3aeff2f8d9", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/4648929a-8031-49cc-9d56-9f3aeff2f8d9"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1972-11-01T00:00:00Z", "2003-04-01T00:00:00Z"]}}, {"id": "6fd2f113-9c67-49a4-99e1-8c6c7d4d5e72", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-17.0, -34.0], [-17.0, 17.5], [49.0, 17.5], [49.0, -34.0], [-17.0, -34.0]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil science"}], "scheme": "Stratum"}, {"concepts": [{"id": "Angola"}, {"id": "Benin"}, {"id": "Botswana"}, {"id": "Burkina Faso"}, {"id": "Burundi"}, {"id": "Cameroon"}, {"id": "Central African Republic"}, {"id": "Chad"}, {"id": "Demcratic Republic of the Congo"}, {"id": "Eswatini"}, {"id": "Ethiopia"}, {"id": "Gabon"}, {"id": "Ghana"}, {"id": "Guinea"}, {"id": "Guinea-Bissau"}, {"id": "Kenya"}, {"id": "Lesotho"}, {"id": "Madagascar"}, {"id": "Malawi"}, {"id": "Mali"}, {"id": "Mauritania"}, {"id": "Mozambique"}, {"id": "Namibia"}, {"id": "Niger"}, {"id": "Nigeria"}, {"id": "Republic of the Congo"}, {"id": "Rwanda"}, {"id": "Senegal"}, {"id": "Sierra Leone"}, {"id": "Somalia"}, {"id": "South Africa"}, {"id": "South Sudan"}, {"id": "Sudan"}, {"id": "Tanzania"}, {"id": "Togo"}, {"id": "Uganda"}, {"id": "Zambia"}, {"id": "Zimbabwe"}], "scheme": "Region"}], "updated": "2021-07-14T11:51:39", "type": "Dataset", "language": "eng", "title": "Africa Soil Profiles Database, version 1.0", "description": "ISRIC World Soil Information is compiling legacy soil profile data of Sub Saharan Africa, as a project activity of the AfSIS project (Globally integrated Africa Soil Information Service). http://africasoils.net/services/data/soil-databases/\n\nAfrica Soil Profiles database, version. 1.0 (April 2012) identifies less than 15700 unique soil profiles inventoried from a wide variety of data sources. From the less than 14600 profiles that are geo-referenced, soil layer attribute data are available for less than 12500 and soil analytical data for less than 10000 profiles. The database includes, but is not limited, to the soil attributes specified by GlobalSoilMap.net. Soil attribute values are standardized according to e-SOTER conventions and validated according to routine rules. Odd values are flagged. The degree of validation, and associated reliability of the data, varies because reference soil profile data, that are previously and thoroughly validated, are compiled together with non-reference soil profile data of lesser inherent representativeness.\n \nUpdated milestone versions of the dataset have been posted online and made available to the project serving as input to the soil property maps generated by AfSIS. The continuously growing dataset will also be made available through the World Soil Information Service upon continuation of the project activity. The version is released here is version 1.0., the latest version is 1.1.", "formats": [{"name": "zip"}, {"name": "WWW:DOWNLOAD-1.0-ftp--download"}, {"name": "WWW:LINK-1.0-http--related"}], "keywords": ["soil profiles", "Soil science", "Angola", "Benin", "Botswana", "Burkina Faso", "Burundi", "Cameroon", "Central African Republic", "Chad", "Demcratic Republic of the Congo", "Eswatini", "Ethiopia", "Gabon", "Ghana", "Guinea", "Guinea-Bissau", "Kenya", "Lesotho", "Madagascar", "Malawi", "Mali", "Mauritania", "Mozambique", "Namibia", "Niger", "Nigeria", "Republic of the Congo", "Rwanda", "Senegal", "Sierra Leone", "Somalia", "South Africa", "South Sudan", "Sudan", "Tanzania", "Togo", "Uganda", "Zambia", "Zimbabwe"], "contacts": [{"name": "Ad van Oostrum", "organization": "ISRIC - World Soil Information", "position": "Guest researcher", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "ad.vanoostrum@wur.nl"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Johan Leenaars", "organization": "ISRIC - World Soil Information", "position": "Senior soil scientist", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "johan.leenaars@wur.nl"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}], "denominator": "2500000"}, "links": [{"href": "https://files.isric.org/public/afsp/AF-AfSP1.0.zip", "name": "Download", "protocol": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://isric.org/projects/africa-soil-profiles-database-afsp", "name": "Project webpage", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://isric.org/sites/default/files/isric_report_2012_03.pdf", "name": "Report", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://files.isric.org/public/thumbnails/afsp/AfSP010Qry_ISRIC.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "6fd2f113-9c67-49a4-99e1-8c6c7d4d5e72", "name": "item", "description": "6fd2f113-9c67-49a4-99e1-8c6c7d4d5e72", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/6fd2f113-9c67-49a4-99e1-8c6c7d4d5e72"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1925-01-01T00:00:00Z", "2011-01-01T00:00:00Z"]}}, {"id": "73e27136-9efe-49e4-af35-fd98b841d467", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[33.9, -4.7], [33.9, 5.4], [41.9, 5.4], [41.9, -4.7], [33.9, -4.7]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil science"}], "scheme": "Stratum"}, {"concepts": [{"id": "Africa"}, {"id": "East-Africa"}, {"id": "Kenya"}], "scheme": "Region"}], "updated": "2021-07-14T11:52:39", "type": "Dataset", "language": "eng", "title": "Soil and Terrain Database for Kenya (KENSOTER), version 2.0", "description": "The Soil and Terrain database for Kenya (KENSOTER), version 2.0, at scale 1:1 million, replaces version 1.0 . The update include changes in the GIS file and in the attribute database. The topographic base of KENSOTER was adapted to a version congruent to the Digital Chart of the World. The KENSOTER attribute database has changed with respect to the number of pedons stored and pedon attributes. The KENSOTER version 2.0 database contains a number of measured soil moisture contents at various tensions.", "formats": [{"name": "zip"}, {"name": "WWW:DOWNLOAD-1.0-ftp--download"}, {"name": "WWW:LINK-1.0-http--related"}], "keywords": ["calcium", "carbon", "cation exchange capacity", "electrical conductivity", "nitrogen", "organic matter", "bulk density", "soil profiles", "pH", "salinity", "texture", "water holding capacity", "nutrients", "Soil science", "Africa", "East-Africa", "Kenya"], "contacts": [{"name": "Bas Kempen", "organization": "ISRIC - World Soil Information", "position": "Soil mapping specialist", "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "bas.kempen@wur.nl"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Peter N Macharia", "organization": "Kenya Agricultural Research Institute", "position": "Head Kenya Soil Survey", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "kss@iconnect.co.ke"}], "addresses": [{"deliveryPoint": ["PO Box 14733"], "city": "Nairobi", "administrativeArea": null, "postalCode": "00800", "country": "Kenya"}], "links": [{"href": null}]}], "denominator": "1000000"}, "links": [{"href": "https://files.isric.org/public/soter/KE-SOTER.zip", "name": "Download", "protocol": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://isric.org/projects/soil-and-terrain-soter-database-programme", "name": "Project webpage", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://isric.org/sites/default/files/isric_report_2004_01.pdf", "name": "Report", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://files.isric.org/public/thumbnails/soter/KENSOTER.jpg", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "73e27136-9efe-49e4-af35-fd98b841d467", "name": "item", "description": "73e27136-9efe-49e4-af35-fd98b841d467", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/73e27136-9efe-49e4-af35-fd98b841d467"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1972-01-01T00:00:00Z", "2003-04-01T00:00:00Z"]}}, {"id": "b3df7f8d-aa90-4206-a11c-5d95b4dd2327", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-17.0, -34.0], [-17.0, 17.5], [49.0, 17.5], [49.0, -34.0], [-17.0, -34.0]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil science"}], "scheme": "Stratum"}, {"concepts": [{"id": "Angola"}, {"id": "Benin"}, {"id": "Botswana"}, {"id": "Burkina Faso"}, {"id": "Burundi"}, {"id": "Cameroon"}, {"id": "Central African Republic"}, {"id": "Chad"}, {"id": "Demcratic Republic of the Congo"}, {"id": "Eswatini"}, {"id": "Ethiopia"}, {"id": "Gabon"}, {"id": "Ghana"}, {"id": "Guinea"}, {"id": "Guinea-Bissau"}, {"id": "Kenya"}, {"id": "Lesotho"}, {"id": "Madagascar"}, {"id": "Malawi"}, {"id": "Mali"}, {"id": "Mauritania"}, {"id": "Mozambique"}, {"id": "Namibia"}, {"id": "Niger"}, {"id": "Nigeria"}, {"id": "Republic of the Congo"}, {"id": "Rwanda"}, {"id": "Senegal"}, {"id": "Sierra Leone"}, {"id": "Somalia"}, {"id": "South Africa"}, {"id": "South Sudan"}, {"id": "Sudan"}, {"id": "Tanzania"}, {"id": "Togo"}, {"id": "Uganda"}, {"id": "Zambia"}, {"id": "Zimbabwe"}], "scheme": "Region"}], "updated": "2021-07-14T11:52:31", "type": "Dataset", "language": "eng", "title": "Africa Soil Profiles Database, version 1.1", "description": "The Africa Soil Profiles Database, Version 1.1, is compiled by ISRIC - World Soil Information (World Data Center for Soils) as a project activity for the Globally integrated- Africa Soil Information Service (AfSIS) project (www.africasoils.net/data/legacyprofile). It replaces version 1.0. \n\nThe Africa Soil Profiles Database is a compilation of georeferenced and standardised legacy soil profile data for Sub-Saharan Africa. Version 1.1 (March 2013) identifies 16,711 unique soil profiles inventoried from a wide variety of data sources and includes profile site and layer attribute data. Soil analytical data are available for 13,835 profiles of which 12,683 are georeferenced, including the attributes as specified by GlobalSoilMap.net. Soil attribute values are standardized according to SOTER conventions and are validated according to routine rules. Odd values are flagged. The degree of validation, and associated reliability of the data, varies because reference soil profile data, that are previously and thoroughly validated, are compiled together with non-reference soil profile data of lesser inherent representativeness.", "formats": [{"name": "zip"}, {"name": "WWW:DOWNLOAD-1.0-ftp--download"}, {"name": "WWW:LINK-1.0-http--related"}], "keywords": ["soil profiles", "Soil science", "Angola", "Benin", "Botswana", "Burkina Faso", "Burundi", "Cameroon", "Central African Republic", "Chad", "Demcratic Republic of the Congo", "Eswatini", "Ethiopia", "Gabon", "Ghana", "Guinea", "Guinea-Bissau", "Kenya", "Lesotho", "Madagascar", "Malawi", "Mali", "Mauritania", "Mozambique", "Namibia", "Niger", "Nigeria", "Republic of the Congo", "Rwanda", "Senegal", "Sierra Leone", "Somalia", "South Africa", "South Sudan", "Sudan", "Tanzania", "Togo", "Uganda", "Zambia", "Zimbabwe"], "contacts": [{"name": "Ad van Oostrum", "organization": "ISRIC - World Soil Information", "position": "Guest researcher", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "ad.vanoostrum@wur.nl"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Johan Leenaars", "organization": "ISRIC - World Soil Information", "position": "Senior soil scientist", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "johan.leenaars@wur.nl"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}], "denominator": "2500000"}, "links": [{"href": "https://files.isric.org/public/afsp/AF-AfSP1.1.zip", "name": "Download", "protocol": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://isric.org/projects/africa-soil-profiles-database-afsp", "name": "Project webpage", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://isric.org/sites/default/files/isric_report_2013_03.pdf", "name": "Report", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://files.isric.org/public/thumbnails/afsp/AfSP011Qry_ISRIC.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "b3df7f8d-aa90-4206-a11c-5d95b4dd2327", "name": "item", "description": "b3df7f8d-aa90-4206-a11c-5d95b4dd2327", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/b3df7f8d-aa90-4206-a11c-5d95b4dd2327"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1925-01-01T00:00:00Z", "2011-01-01T00:00:00Z"]}}, {"id": "b88870b4-6af8-4e78-a3ac-38871d757525", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-17.0, -34.0], [-17.0, 17.5], [49.0, 17.5], [49.0, -34.0], [-17.0, -34.0]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil science"}], "scheme": "Stratum"}, {"concepts": [{"id": "Angola"}, {"id": "Benin"}, {"id": "Botswana"}, {"id": "Burkina Faso"}, {"id": "Burundi"}, {"id": "Cameroon"}, {"id": "Central African Republic"}, {"id": "Chad"}, {"id": "Demcratic Republic of the Congo"}, {"id": "Eswatini"}, {"id": "Ethiopia"}, {"id": "Gabon"}, {"id": "Ghana"}, {"id": "Guinea"}, {"id": "Guinea-Bissau"}, {"id": "Kenya"}, {"id": "Lesotho"}, {"id": "Madagascar"}, {"id": "Malawi"}, {"id": "Mali"}, {"id": "Mauritania"}, {"id": "Mozambique"}, {"id": "Namibia"}, {"id": "Niger"}, {"id": "Nigeria"}, {"id": "Republic of the Congo"}, {"id": "Rwanda"}, {"id": "Senegal"}, {"id": "Sierra Leone"}, {"id": "Somalia"}, {"id": "South Africa"}, {"id": "South Sudan"}, {"id": "Sudan"}, {"id": "Tanzania"}, {"id": "Togo"}, {"id": "Uganda"}, {"id": "Zambia"}, {"id": "Zimbabwe"}], "scheme": "Region"}], "updated": "2021-07-14T11:51:37", "type": "Dataset", "language": "eng", "title": "Africa Soil Profiles Database, version 1.2", "description": "The Africa Soil Profiles Database, Version 1.2, is compiled by ISRIC - World Soil Information (World Data Center for Soils) as a project activity for the Globally integrated- Africa Soil Information Service (AfSIS) project (www.africasoils.net/data/legacyprofile). It replaces version 1.1. \n\nThe Africa Soil Profiles Database is a compilation of georeferenced and standardised legacy soil profile data for Sub-Saharan Africa. Version 1.2 (November 2014) identifies 18,532 unique soil profiles inventoried from a wide variety of data sources and includes profile site and layer attribute data. Soil analytical data are available for 15,564 profiles of which 14,197 are georeferenced, including the attributes as specified by GlobalSoilMap.net. Soil attribute values are standardized according to SOTER conventions and are validated according to routine rules. Odd values are flagged. The degree of validation, and associated reliability of the data, varies because reference soil profile data, that are previously and thoroughly validated, are compiled together with non-reference soil profile data of lesser inherent representativeness.", "formats": [{"name": "zip"}, {"name": "WWW:DOWNLOAD-1.0-ftp--download"}, {"name": "WWW:LINK-1.0-http--related"}], "keywords": ["soil profiles", "Soil science", "Angola", "Benin", "Botswana", "Burkina Faso", "Burundi", "Cameroon", "Central African Republic", "Chad", "Demcratic Republic of the Congo", "Eswatini", "Ethiopia", "Gabon", "Ghana", "Guinea", "Guinea-Bissau", "Kenya", "Lesotho", "Madagascar", "Malawi", "Mali", "Mauritania", "Mozambique", "Namibia", "Niger", "Nigeria", "Republic of the Congo", "Rwanda", "Senegal", "Sierra Leone", "Somalia", "South Africa", "South Sudan", "Sudan", "Tanzania", "Togo", "Uganda", "Zambia", "Zimbabwe"], "contacts": [{"name": "Ad van Oostrum", "organization": "ISRIC - World Soil Information", "position": "Guest researcher", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "ad.vanoostrum@wur.nl"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Johan Leenaars", "organization": "ISRIC - World Soil Information", "position": "Senior soil scientist", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "johan.leenaars@wur.nl"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Maria Ruiperez Gonzalez", "organization": "ISRIC - World Soil Information", "position": "Remote Sensing", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "maria.ruiperezgonzalez@wur.nl"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}], "denominator": "2500000"}, "links": [{"href": "https://files.isric.org/public/afsp/AF-AfSP1.2.zip", "name": "Download", "protocol": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://isric.org/projects/africa-soil-profiles-database-afsp", "name": "Project webpage", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://isric.org/sites/default/files/isric_report_2014_01.pdf", "name": "Report", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://files.isric.org/public/thumbnails/afsp/AfSP012Qry_ISRIC.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "b88870b4-6af8-4e78-a3ac-38871d757525", "name": "item", "description": "b88870b4-6af8-4e78-a3ac-38871d757525", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/b88870b4-6af8-4e78-a3ac-38871d757525"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1925-01-01T00:00:00Z", "2011-01-01T00:00:00Z"]}}, {"id": "ce32091e-006d-4438-8e03-cf7b4c500df7", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[36.6, -1.2], [36.6, 0.3], [38.4, 0.3], [38.4, -1.2], [36.6, -1.2]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil science"}], "scheme": "Stratum"}, {"concepts": [{"id": "Africa"}, {"id": "East-Africa"}, {"id": "Kenya"}, {"id": "Tana River"}], "scheme": "Region"}], "updated": "2021-07-14T11:52:21", "type": "Dataset", "language": "eng", "title": "Soil and Terrain Database (SOTER) for Upper Tana River Catchment, version 1.1", "description": "The Soil and Terrain database for the Upper Tana River Catchment (version 1.1) (SOTER_UT_v1.1) at scale 1:250,000 was compiled to support the Green Water Credits (GWC) programme by creating a primary SOTER dataset for a hydrology assessment of the basin. The Kenya Soil Survey of the Kenya Agriculture Research Institute(KARI-KSS) and ISRIC-World Soil Information compiled the SOTER_UT dataset ... according to the standard SOTER methodology. The dataset includes both data of the original KENSOTER database (1:1M) for the Upper Tana Catchment and, new SOTER units and soil profile data taken from other, existing soil surveys mainly at scale 100,000 and from more detailed studies. \n\nThe SOTER database was used for the hydrology assessment of Upper Tana basin using the model Soil and Water Assessment Tool (SWAT)to quantify the impact of land management practices change in the basin's waterbalance.", "formats": [{"name": "zip"}, {"name": "WWW:DOWNLOAD-1.0-ftp--download"}, {"name": "WWW:LINK-1.0-http--related"}], "keywords": ["calcium", "carbon", "cation exchange capacity", "electrical conductivity", "nitrogen", "organic matter", "bulk density", "soil profiles", "pH", "salinity", "texture", "water holding capacity", "nutrients", "Soil science", "Africa", "East-Africa", "Kenya", "Tana River"], "contacts": [{"name": "Bas Kempen", "organization": "ISRIC - World Soil Information", "position": "Soil mapping specialist", "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "bas.kempen@wur.nl"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "J.A. 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Huting", "organization": "ISRIC - World Soil Information", "position": null, "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "None"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}], "denominator": "250000"}, "links": [{"href": "https://files.isric.org/public/soter/KET-SOTER.zip", "name": "Download", "protocol": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://isric.org/index.php/projects/soil-and-terrain-soter-database-programme", "name": "Project webpage", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://isric.org/sites/default/files/isric_report_2010_09b.pdf", "name": "Report", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://files.isric.org/public/thumbnails/soter/SOTER_UT.jpg", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "ce32091e-006d-4438-8e03-cf7b4c500df7", "name": "item", "description": "ce32091e-006d-4438-8e03-cf7b4c500df7", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/ce32091e-006d-4438-8e03-cf7b4c500df7"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1972-01-01T00:00:00Z", "2003-03-01T00:00:00Z"]}}, {"id": "e2af1672-ab22-4fdf-909f-81fb586268dc", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[36.6, -1.2], [36.6, 0.3], [38.4, 0.3], [38.4, -1.2], [36.6, -1.2]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil science"}], "scheme": "Stratum"}, {"concepts": [{"id": "Africa"}, {"id": "East-Africa"}, {"id": "Kenya"}, {"id": "Tana river"}], "scheme": "Region"}], "updated": "2021-07-14T11:51:38", "type": "Dataset", "language": "eng", "title": "SOTER-based soil parameter estimates (SOTWIS) for Upper Tana river catchment, Kenya", "description": "This harmonized set of soil parameter estimates for the Upper Tana river catchment, Kenya. The data set was derived from the 1:250 000 scale Soil and Terrain Database for the Upper Tana (SOTER_UT, ver. 1.1; Dijkshoorn et al. 2011) and the ISRIC-WISE soil profile database, using standardized taxonomy-based pedotransfer (taxotransfer) procedures. \n\nThe land surface of the Upper Tana, Kenya, covering some 18,900 km2, has been mapped in SOTER using 191 unique SOTER units. Each map unit may comprise of up to three different soil components. In so far as possible, each soil component has been characterized by a regionally representative profile, selected and classified by national soil experts. Conversely, in the absence of any measured legacy data, soil components were characterized using synthetic profiles for which only the FAO-Unesco (1988) classification is known.\n\nSoil components in SOTER_UT have been characterized using 146 profiles consisting of 109 real and 37 so-called synthetic profiles. The latter were used to represent some 18% per cent of the study area. Comprehensive sets of measured attribute data are seldom available for most profiles (109) collated in SOTER_UT, as these were not considered in the source materials. Consequently, to permit modelling, gaps in the soil analytical data have been filled using consistent taxotransfer procedures. Modal soil property estimates necessary to populate the taxotransfer procedure were derived from statistical analyses of soil profiles held in the ISRIC-WISE database. The current taxotransfer procedure only considers profiles in WISE that: (a) have FAO soil unit names (43) identical to those mapped for the Upper Tana in SOTER, and (b) originate from regions having similar K\u00f6ppen climate zones (n= 5745). \n\nProperty estimates are presented for 18 soil variables by soil unit for fixed depth intervals of 0.2 m to 1 m depth: organic carbon, total nitrogen, pH(H2O), CECsoil, CECclay, base saturation, effective CEC, aluminium saturation, CaCO3 content, gypsum content, exchangeable sodium percentage (ESP), electrical conductivity (ECe), bulk density, content of sand, silt and clay, content of coarse fragments (less than 2 mm), and volumetric water content (-33 kPa to -1.5 MPa). These attributes have been identified as being useful for agro-ecological zoning, land evaluation, crop growth simulation, modelling of soil carbon stocks and change, and studies of global environmental change. \n\nThe soil property estimates can be linked to the spatial data (map), using GIS, through the unique SOTER-unit code; database applications should consider the full map unit composition and depth range.", "formats": [{"name": "zip"}, {"name": "WWW:DOWNLOAD-1.0-ftp--download"}, {"name": "WWW:LINK-1.0-http--related"}], "keywords": ["calcium", "carbon", "cation exchange capacity", "electrical conductivity", "nitrogen", "organic matter", "bulk density", "soil profiles", "pH", "salinity", "texture", "water holding capacity", "nutrients", "Soil science", "Africa", "East-Africa", "Kenya", "Tana river"], "contacts": [{"name": "Niels Batjes", "organization": "ISRIC - World Soil Information", "position": "Senior Soil Scientist", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "niels.batjes@isric.org"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}], "denominator": "250000"}, "links": [{"href": "https://files.isric.org/public/sotwis/SOTWIS_UT.zip", "name": "Download", "protocol": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://isric.org/projects/harmonized-continental-soter-derived-database-sotwis", "name": "Project webpage", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://isric.org/sites/default/files/isric_report_2010_07b.pdf", "name": "Report", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://files.isric.org/public/thumbnails/sotwis/SOTWIS_UT.jpg", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "e2af1672-ab22-4fdf-909f-81fb586268dc", "name": "item", "description": "e2af1672-ab22-4fdf-909f-81fb586268dc", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/e2af1672-ab22-4fdf-909f-81fb586268dc"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1972-11-01T00:00:00Z", "2003-03-01T00:00:00Z"]}}, {"id": "7bc2d1df-6982-4ba7-a7b8-8089e865ea83", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[33.91, -4.72], [33.91, 4.63], [41.89, 4.63], [41.89, -4.72], [33.91, -4.72]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "agriculture"}, {"id": "irrigation"}, {"id": "farming systems"}, {"id": "drought"}, {"id": "climate change"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}, {"id": "Bodennutzung"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Africa"}, {"id": "Kenya"}], "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": "2024-05-17", "type": "Dataset", "created": "2024-05-14", "language": "eng", "title": "Farming Systems for Kenya: Irrigated vs. Rainfed Cropland", "description": "

This product shows the distribution of rainfed and irrigated agricultural land across Kenya. This dataset has been produced using a large training dataset that contains a total area of 71,900 km\u00b2 in training samples. The algorithm in the product used three years of Sentinel-2 data (2021-2023). Harmonics of NDVI were used to overcome the limitations of data gaps due to clouds and noise in the time series. The harmonics of the NDVI were then used along with averaged evapotranspiration (ET) and land surface temperature data from MODIS to feed a random forest classifier to produce the final product, along with several post-processing steps to smooth the dataset. The product can provide meaningful insights into areas in need of intervention due to climatic stress and areas within proximity to alternative water sources to assist in irrigation decision making.

\n
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{"concepts": [{"id": "Bodennutzung"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Africa"}, {"id": "Kenya"}], "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": "2024-10-21", "type": "Dataset", "created": "2024-10-03", "language": "eng", "title": "National-Scale High-Resolution Crop Condition Maps: Assessing Drought Impact on Croplands in Kenya Using Sentinel-2", "description": "The crop condition mapping product monitors cropland pixels affected by drought using Vegetation Indices (VIs), such as the Normalized Difference Vegetation Index (NDVI), Normalized Difference Moisture Index (NDMI), Normalized Difference Red Edge (NDRE), and Green Normalized Difference Vegetation Index (GNDVI), generated from Sentinel-2 images. A binary classification is performed to map drought-affected and unaffected croplands. A random forest model is trained using VI time series data from both drought and non-drought years for each Agro-Ecological Zone (AEZ). The outputs display the spatial characteristics of drought impacts on croplands at a national scale. The dataset includes seasonal crop condition maps for 2016-2022 at a 20m spatial resolution, classifying pixels as 0: non-croplands, 1: unaffected pixels, and 2: drought-affected pixels. Two maps per year are provided for the long rains (season 1) and short rains (season 2). The output is validated through comparison with other datasets such as the Global Drought Observatory, FAO Agriculture Stress Index System (ASIS), East Africa Drought Watch, and reports from the National Drought Management Authority (NDMA). Additionally, user validation has been conducted through engagement with relevant stakeholders, ensuring the outputs align with ground realities and user needs. Each map is accompanied with quality maps based on number of available clear sky observations and classification probability.", "formats": [{"name": "CSV"}], "keywords": ["agriculture", "drought", "climate change", "remote sensing", "opendata", "Bodennutzung", "Africa", "Kenya"], "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": "S. 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By relating biomass production to total EvapoTranspiration (sum of soil evaporation, canopy transpiration and interception), this indicator provides insights on the impact of vegetation development on consumptive water use and thus on water balance in a given domain. When the focus is on monitoring performance of irrigated agriculture in relation to water consumption, it is more appropriate to use transpiration alone as a denominator, as a measure of water beneficially consumed by the plant. This latter indicator, for which we use the term \\\"net water productivity\\\", provides useful information on how effectively vegetation (and particularly crops) uses water to develop its biomass (and thus yield). 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The value of each pixel represents the total annual evaporation for that specific year. 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The proposed legend is structured in such a way that it can be read, not only from the Morphometric point of view as in SOTER, but also taking into account the main origin and the age of landforms (mainly derived from the lithology legend). Lithology is linked with the mapping units, but is listed separately. 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The main parameters include:\n\n\u00b7 Current and past land use category, with approximate date of change (if any);\n\n\u00b7 Main climatic parameters, obtained from the closest weather station;\n\n\u00b7 Type of underlying bedrock;\n\n\u00b7 A set of topographical variables: altitude, slope, aspect, macrotopography and microtopography;\n\n\u00b7 General fertilization information (if any);\n\n\u00b7 General grazing management (if any);\n\n\u00b7 General crop management (sown species, rotation, irrigation, etc.);\n\n\u00b7 Soil data (including texture, bulk density, C, N, P, pH, CEC, etc);\n\n\u00b7 Vegetation biomass;\n\n\u00b7 Vascular species richness.\n\nSampling plots and boundaries of study areas are available as digital maps in the \"Distribution\" section of this metadata.\n\nThis set of data has been produced in the framework of the \"Climate change predictions in Sub-Saharan Africa: impacts and adaptations (ClimAfrica)\" project, Work Package 6 (WP6). For more information on the following work packages produced, please contact the data originator indicated in the Point of contacts section of this metadata.\n\n\u2022\tProject Deliverable D6.1 - Catalogue of selected watersheds for the case studies. \n\n\u2022\tProject Deliverable D6.2 - Reports on site characteristics of the model areas using a standardized format.\n\n\u2022\tProject Deliverable D6.3 - Database of relevant eddy covariance measurements from the available CarboAfrica (FP6 project) flux sites to be delivered to WP1 and WP2 for model development.\n\n\u2022\tProject Deliverable D6.4 - High spatial and temporal resolution time series combining high and medium spatial resolution satellite data for assimilation and phenological modelling.", "formats": [{"name": "WWW:DOWNLOAD-1.0-http--download"}, {"name": "WWW:LINK-1.0-http--link"}], "keywords": ["field data", "biophysical data", "soil", "plant species richness", "vegetation biomass", "carbon", "WP6", "ClimAfrica", "Tag_climafrica", "Africa", "Burkina Faso", "Congo", "Ghana", "Kenya", "Malawi", "Sudan", "Togo"], "contacts": [{"name": "Teresa Sebastia", "organization": "Centre Tecnologic Forestal de Catalunya (CTFC)", "position": "ClimAfrica WP6 Coordinator", "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "teresa.sebastia@ctfc.es"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": "Spain"}], "links": [{"href": null}]}, {"name": "Xavier de Lamo", "organization": "Centro Euro-Mediterraneo per i Cambiamenti Climatici (CMCC)", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "xavier.delamon@cmcc.it"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "Centre Tecnologic Forestal de Catalunya (CTFC)", "roles": ["creator"]}]}, "links": [{"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/761b42e3-7c12-492e-a5d0-d6fff07dd8b7/resources/Sampling_Plots.zip", "description": "Sampling plots", "protocol": "WWW:DOWNLOAD-1.0-http--download", "rel": null}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/761b42e3-7c12-492e-a5d0-d6fff07dd8b7/resources/Study_Areas.zip", "description": "Boundaries of study areas", "protocol": "WWW:DOWNLOAD-1.0-http--download", "rel": null}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/761b42e3-7c12-492e-a5d0-d6fff07dd8b7/resources/WP6_Biophysical_Parameters_Description.xlsx", "description": "Biophysical Parameters Description", "protocol": "WWW:DOWNLOAD-1.0-http--download", "rel": null}, {"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}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/761b42e3-7c12-492e-a5d0-d6fff07dd8b7/thumbnail/table_s.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "761b42e3-7c12-492e-a5d0-d6fff07dd8b7", "name": "item", "description": "761b42e3-7c12-492e-a5d0-d6fff07dd8b7", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/761b42e3-7c12-492e-a5d0-d6fff07dd8b7"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2011-01-01T00:00:00Z", "2014-12-31T00:00:00Z"]}}, {"id": "87a9657c-855b-4451-8098-4e5c72c8f891", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[33.89, -4.68], [33.89, 5.03], [41.88, 5.03], [41.88, -4.68], [33.89, -4.68]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Africa"}], "scheme": "Continents, countries, sea regions of the world."}], "updated": "2022-01-31T13:35:10", "language": "eng", "title": "Gross Biomass Water Productivity (Busia, Kenya - Seasonal - 30m)", "description": "The seasonal Gross Biomass Water Productivity expresses the quantity of output (above ground biomass production) in relation to the total volume of water consumed (actual Evapotranspiration) during the growing cycle of the vegetation. By relating biomass production to total Evapotranspiration (sum of soil evaporation, canopy transpiration and interception), this indicator provides insights on the impact of vegetation development on consumptive water use and thus on water balance in a given domain. When the focus is on monitoring performance of irrigated agriculture in relation to water consumption, it is more appropriate to use transpiration alone as a denominator, as a measure of water beneficially consumed by the plant. This latter indicator, for which we use the term \\\"net water productivity\\\", provides useful information on how effectively vegetation (and particularly crops) uses water to develop its biomass (and thus yield). The data is provided in near real time from January 2009 to present.", "formats": [{"name": "TIF"}, {"name": "OGC:WMS-1.3.0-http-get-map"}, {"name": "WWW:LINK-1.0-http--link"}], "keywords": ["Water", "WaPOR", "WaPOR_2", "WaPOR_2_Subnational", "Seasonal", "Africa and Near East", "Kenya", "Busia", "Africa"], "contacts": [{"name": "WaPOR", "organization": "FAO-UN", "position": null, "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "wapor@fao.org"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "FAO-UN", "roles": ["creator"]}], "edition": "Version 2.0"}, "links": [{"href": "https://io.apps.fao.org/geoserver/wms/WAPOR_2/L3_BUS_GBWP_S/v2?service=WMS&version=1.3.0&request=GetCapabilities", "name": "WPR:YEAR:YEAR", "description": "Gross Biomass Water Productivity (Busia", "protocol": "OGC:WMS-1.3.0-http-get-map", "rel": "download"}, {"href": "https://wapor.apps.fao.org/catalog/WAPOR_2/3/L3_BUS_GBWP_S", "name": "Download data from WaPOR Website", "description": "Gross Biomass Water Productivity (Busia, Kenya - Seasonal)", "protocol": "WWW:LINK-1.0-http--link", "rel": "download"}, {"href": "https://data.apps.fao.org:/map/catalog/srv/api/records/87a9657c-855b-4451-8098-4e5c72c8f891/attachments/thumbnail9179322421129960322.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "87a9657c-855b-4451-8098-4e5c72c8f891", "name": "item", "description": "87a9657c-855b-4451-8098-4e5c72c8f891", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/87a9657c-855b-4451-8098-4e5c72c8f891"}, {"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": "8a3dc563-2f76-4cc1-be54-d080e0f62bbd", "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": "2023-01-30T17:12:32", "language": "eng", "title": "Water balance model (SIMETAW#), annual output, at local scale - ClimAfrica WP3", "description": "Etc and yield reduction for major crops in case study areas of Burkina, Malawi, Kenya, Sudan, Togo and Ghana (1980-2100).\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", "agriculture", "water", "water balance", "crop yield", "crop production", "SIMETAW#", "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 Website \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": "8a3dc563-2f76-4cc1-be54-d080e0f62bbd", "name": "item", "description": "8a3dc563-2f76-4cc1-be54-d080e0f62bbd", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/8a3dc563-2f76-4cc1-be54-d080e0f62bbd"}, {"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"]}}, {"id": "94abbe48-fcaf-48a6-9d9d-f8656e5f9ad1", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[23.3, -4.1], [23.3, 31.8], [40.2, 31.8], [40.2, -4.1], [23.3, -4.1]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [], "scheme": "Continents, countries, sea regions of the world."}], "updated": "2022-06-09T07:40:33", "language": "eng", "title": "Evapotranspiration from precipitation (Nile River Basin - Monthly - 100m)", "description": "The evapotranspiration from precipitation (ETRAIN) is the portion of the actual evapotranspiration and Interception (ETIa) that is satified from precipitation. It is computed from precipitation, actual evapotranspiration and soil moisture and calculated by spliting ETIa to rainfall and incremental ET using pixel based Soil Moisture Water Balance Model (SMWBM).", "formats": [{"name": "NetCDF"}, {"name": "OGC:WMS-1.3.0-http-get-map"}], "keywords": ["Water", "Water accounting", "ET", "Rainfall", "WaPOR", "WaPOR_2_Basin", "WA+", "WaPOR", "Monthly", "Nile River Basin", "Burundi", "DRCongo", "Egypt", "Ethiopia", "Eritrea", "Kenya", "Rwanda", "South Sudan", "Sudan", "Tanzania", "Uganda", "Africa"], "contacts": [{"name": "WaPOR", "organization": "FAO-UN", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "wapor@fao.org"}], "addresses": [{"deliveryPoint": ["Viale delle Terme di Caracalla"], "city": "Rome", "administrativeArea": null, "postalCode": "00153", "country": "Italy"}], "links": [{"href": null}]}], "edition": "Version 2.0"}, "links": [{"href": "https://io.apps.fao.org/geoserver/wms/WATER/NILE_ETRAIN/v2?request=GetCapabilities&service=WMS&version=1.1.1", "name": "ETRAIN:MONTH:MONTH", "description": "Evapotranspiration from precipitation (Nile River Basin - 100m)", "protocol": "OGC:WMS-1.3.0-http-get-map", "rel": null}, {"rel": "self", "type": "application/geo+json", "title": "94abbe48-fcaf-48a6-9d9d-f8656e5f9ad1", "name": "item", "description": "94abbe48-fcaf-48a6-9d9d-f8656e5f9ad1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/94abbe48-fcaf-48a6-9d9d-f8656e5f9ad1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2009-01-01T00:00:00Z", "2018-12-31T00:00:00Z"]}}, {"id": "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"]}}, {"id": "ca8720f4-4e36-43d6-a504-449a7a9e236d", "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": "economy"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}], "updated": "2023-01-31T09:04:32", "created": "2014-06-01T00:00:00", "language": "eng", "title": "Socio-Economic Field Collected Data - ClimAfrica WP6", "description": "The dataset includes a set of socio-economic field collected data in a wide range of Sub-Saharan African communities. The main parameters include:\n\n\u00b7 Historical climate events (description of main climatic events described by the surveyed communities);\n\n\u00b7 Mental models (conceptual understanding of climate change as perceived by local communities);\n\n\u00b7 Participatory risk mapping (main risks/hazards to livelihood perceived by local communities);\n\n\u00b7 Stakeholders analysis (identification of institutional structures that come into force under environmental stress);\n\n\u00b7 Household demographics;\n\n\u00b7 General household livelihood portfolio;\n\n\u00b7 Household vulnerability mapping (identification of main stressors at household level);\n\nThis set of data has been produced in the framework of the \"Climate change predictions in Sub-Saharan Africa: impacts and adaptations (ClimAfrica)\" project, Work Package 6 (WP6). For more information on the following work packages produced, please contact the data originator indicated in the Point of contacts section of this metadata.\n\n\u2022\tProject Deliverable D6.1 - Catalogue of selected watersheds for the case studies.\n \n\u2022\tProject Deliverable D6.2 - Reports on site characteristics of the model areas using a standardized format.\n\n\u2022\tProject Deliverable D6.3 - Database of relevant eddy covariance measurements from the available CarboAfrica (FP6 project) flux sites to be delivered to WP1 and WP2 for model development.\n\n\u2022\tProject Deliverable D6.4 - High spatial and temporal resolution time series combining high and medium spatial resolution satellite data for assimilation and phenological modelling.", "formats": [{"name": "GeoTiff"}, {"name": "WWW:DOWNLOAD-1.0-http--download"}, {"name": "WWW:LINK-1.0-http--link"}], "keywords": ["field data", "socio-economic data", "soil", "plant species richness", "vegetation biomass", "carbon", "WP6", "ClimAfrica", "Tag_climafrica", "Africa", "Burkina Faso", "Congo", "Ghana", "Kenya", "Malawi", "Sudan", "Togo"], "contacts": [{"name": "Teresa Sebastia", "organization": "Centre Tecnologic Forestal de Catalunya (CTFC)", "position": "ClimAfrica WP6 Coordinator", "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "teresa.sebastia@ctfc.es"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": "Spain"}], "links": [{"href": null}]}, {"name": "Xavier de Lamo", "organization": "Centro Euro-Mediterraneo per i Cambiamenti Climatici (CMCC)", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "xavier.delamon@cmcc.it"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "Centre Tecnologic Forestal de Catalunya (CTFC)", "roles": ["creator"]}]}, "links": [{"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/ca8720f4-4e36-43d6-a504-449a7a9e236d/resources/Sampling_Plots.zip", "description": "Sampling plots", "protocol": "WWW:DOWNLOAD-1.0-http--download", "rel": null}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/ca8720f4-4e36-43d6-a504-449a7a9e236d/resources/Study_Areas.zip", "description": "Boundaries of study areas", "protocol": "WWW:DOWNLOAD-1.0-http--download", "rel": null}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/ca8720f4-4e36-43d6-a504-449a7a9e236d/resources/WP6_Biophysical_Parameters_Description.xlsx", "description": "Biophysical Parameters Description", "protocol": "WWW:DOWNLOAD-1.0-http--download", "rel": null}, {"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 - Climate Change Predictions In Sub-Saharan Africa: Impacts And Adaptations", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/ca8720f4-4e36-43d6-a504-449a7a9e236d/thumbnail/table_s.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "ca8720f4-4e36-43d6-a504-449a7a9e236d", "name": "item", "description": "ca8720f4-4e36-43d6-a504-449a7a9e236d", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/ca8720f4-4e36-43d6-a504-449a7a9e236d"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2011-01-01T00:00:00Z", "2014-12-31T00:00:00Z"]}}, {"id": "c0595177-30d8-4353-9a2d-71c45165c564", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-30.0, -40.0], [-30.0, 40.0], [65.0, 40.0], [65.0, -40.0], [-30.0, -40.0]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Africa"}], "scheme": "Continents, countries, sea regions of the world."}], "updated": "2022-01-27T16:19:32", "language": "eng", "title": "Evaporation (Africa and Near East - Dekadal - 100m)", "description": "The Evaporation (E) data component (dekadal, in mm/day) is the actual evaporation of the soil surface. 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The proposed legend is structured in such a way that it can be read, not only from the Morphometric point of view as in SOTER, but also taking into account the main origin and the age of landforms (mainly derived from the lithology legend). Lithology is linked with the mapping units, but is listed separately. See the full landform/lithology legend in the resource section.", "formats": [{"name": "ESRI Shapefile"}, {"name": "WWW:LINK-1.0-http--link"}, {"name": "WWW:DOWNLOAD-1.0-http--download"}], "keywords": ["landform", "lithology", "geomorphology", "natural resources", "management", "AFRICOVER", "Tag_GISLAB", "Tag_AFRICOVER", "Kenya"], "contacts": [{"name": "Antonio Di Gregorio", "organization": "FAO-UN", "position": "Senior Remote Sensing and Land Cover Mapping Expert", "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "Antonio.DiGregorio@fao.org"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Charles Muchoki", "organization": "Ministry of Environment and Natural Resources", "position": "NFPI - Kenya", "roles": ["owner"], "phones": [{"value": "254-2-609013/27/79"}], "emails": [{"value": "kenya@africover.org"}], "addresses": [{"deliveryPoint": ["PO box 47146"], "city": "Nairobi", "administrativeArea": null, "postalCode": null, "country": "Kenya"}], "links": [{"href": null}]}, {"organization": "FAO-UN", "roles": ["creator"]}], "denominator": "350000", "edition": "First"}, "links": [{"href": "https://www.fao.org/geospatial/projects/detail/en/c/1035404/", "description": "Africover", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/c2174fb8-41ea-4639-b51a-605ef72583d1/resources/ke_landform.zip", "description": "Landform for Kenya - Thematic Aggregation Geomorphology - AFRICOVER", "protocol": "WWW:DOWNLOAD-1.0-http--download", "rel": null}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/c2174fb8-41ea-4639-b51a-605ef72583d1/thumbnail/ke-landform_s.jpg", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/c2174fb8-41ea-4639-b51a-605ef72583d1/large_thumbnail/ke-landform.jpg", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "c2174fb8-41ea-4639-b51a-605ef72583d1", "name": "item", "description": "c2174fb8-41ea-4639-b51a-605ef72583d1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/c2174fb8-41ea-4639-b51a-605ef72583d1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date-time": "2024-06-05T12:34:59Z"}}, {"id": "c852d812-1203-49cc-8a00-717334f85f4f", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[33.89, -4.68], [33.89, 5.03], [41.88, 5.03], [41.88, -4.68], [33.89, -4.68]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Africa"}], "scheme": "Continents, countries, sea regions of the world."}], "updated": "2022-01-31T13:36:29", "language": "eng", "title": "Net Primary Production (Busia, Kenya - Monthly - 30m)", "description": "Net Primary Production (NPP) is a fundamental characteristic of an ecosystem, expressing the conversion of carbon dioxide into biomass driven by photosynthesis. 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