{"type": "FeatureCollection", "features": [{"id": "0a1e029f-2892-4103-baf5-67db0010c3db", "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": "imageryBaseMapsEarthCover"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}], "updated": "2023-01-24T14:23:31", "language": "eng", "title": "Harmonized World Soil Data Base v110 - ClimAfrica WP1", "description": "The dataset represents spatially aggregated soil properties from the Harmonized World Soil Database v110, 0.5 degree spatial resolution. Contact the data publisher for detailed description of the aggregation method.\nSelected soil properties: AWC; AWC_Class; S_Clay; S_OC; S_Silt; S_Gravel; S_Sand; S_USDA_TEX; T_Clay; T_OC; T_Silt; T_Clay; T_OC; T_Silt; T_Gravel; T_Sand; T_USDA_TEX.\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 1 (WP1).\nWP1 (Past climate variability) aimed to provide consolidated data to other WPs in ClimAfrica, and to analyze the interactions between climate variability, water availability and ecosystem productivity of Sub-Saharan Africa. Various data streams that diagnose the variability of the climate, in particular the water cycle, and the productivity of ecosystems in the past decades, have been collected, analyzed and synthesized. The data streams range from ground-based observations and satellite remote sensing to model simulations. More information on ClimAfrica project is provided in the Supplemental Information section of this metadata.", "formats": [{"name": "GeoTIFF"}, {"name": "WWW:DOWNLOAD-1.0-ftp--download"}, {"name": "WWW:LINK-1.0-http--link"}], "keywords": ["soil", "Harmonized World Soil", "WP1", "ClimAfrica", "Tag_climafrica", "Africa", "World"], "contacts": [{"name": "Martin Jung", "organization": "Max-Planck-Institute for Biogeochemistry", "position": null, "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "mjung@bgc-jena.mpg.de"}], "addresses": [{"deliveryPoint": [null], "city": "Jena", "administrativeArea": null, "postalCode": null, "country": "Germany"}], "links": [{"href": null}]}, {"organization": "Max-Planck-Institute for Biogeochemistry", "roles": ["creator"]}], "distancevalue": "0.5", "distanceuom": "Degree", "edition": "First"}, "links": [{"href": "ftp://ftp.bgc-jena.mpg.de/pub/outgoing/ClimAfrica/Africa/0d50_static/HWSD/", "description": "DOWNLOAD - Harmonized World Soil Database", "protocol": "WWW:DOWNLOAD-1.0-ftp--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/0a1e029f-2892-4103-baf5-67db0010c3db/thumbnail/HWSD_S_Sand.AFRICA_s.png", "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/0a1e029f-2892-4103-baf5-67db0010c3db/large_thumbnail/HWSD_S_Sand_in_S_Sand.AFRICA.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": "0a1e029f-2892-4103-baf5-67db0010c3db", "name": "item", "description": "0a1e029f-2892-4103-baf5-67db0010c3db", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0a1e029f-2892-4103-baf5-67db0010c3db"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date-time": "2023-01-24T14:23:31Z"}}, {"id": "15d74889-5a8d-4ff7-8f42-ffdd12fa108e", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[13.55, -28.11], [13.55, 19.22], [70.5, 19.22], [70.5, -28.11], [13.55, -28.11]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}], "updated": "2023-01-31T10:42:46", "created": "2013-08-01T22:00:00", "language": "eng", "title": "Length of Growing Period in East Africa - ClimAfrica WP5", "description": "The Length of Growing Period (LGP) refers to the average duration when moisture availability allows crop growth. The calculation is based on a water balance model that compares moisture supply from precipitation, soil moisture storage and a reference evapotranspiration. The reference LGP assumes available soil moisture capacity of 100 mm per meter soil depth and a reference soil depth of one meter. LGP's were based on the baseline period of 1961-1990.\nThis dataset has been used to complement the survey data and included in the \"Climate change predictions in Sub-Saharan Africa: impacts and adaptations (ClimAfrica)\" project, Work Package 5 (WP5). More information on ClimAfrica project is provided in the Supplemental Information section of this metadata.\nThis study in WP5 aimed to identify, locate and characterize groups that are vulnerable for climate change conditions in two country clusters; one in West Africa (Benin, Burkina Faso, C\u00f4te d'Ivoire, Ghana, and Togo) and one in East Africa (Sudan, South Sudan and Uganda). Data used for the study include the Demographic and Health Surveys (DHS) , the Multi Indicator Cluster Survey (MICS) and the Afrobarometer surveys for the socio-economic variables and grid level data on agro-ecological and climatic conditions.", "formats": [{"name": "ASCII format"}, {"name": "WWW:DOWNLOAD-1.0-http--download"}, {"name": "WWW:LINK-1.0-http--link"}], "keywords": ["LGP", "length of growing period", "soil moisture", "water balance", "precipitation", "evapotranspiration", "WP5", "ClimAfrica", "Tag_climafrica", "Africa", "Sudan", "South Sudan", "Uganda"], "contacts": [{"name": "Lia van Wesenbeeck", "organization": "Centre for World Food Studies (SOW-VU)", "position": null, "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "c.f.a.vanwesenbeeck@sow.vu.nl"}], "addresses": [{"deliveryPoint": ["De Boelelaan 1105 1081 HV"], "city": "Amsterdam", "administrativeArea": null, "postalCode": "1081 HV", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Ben Sonneveld", "organization": "Centre for World Food Studies (SOW-VU)", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "B.G.J.S.sonneveld@sow.vu.nl"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "Centre for World Food Studies (SOW-VU)", "roles": ["creator"]}], "distancevalue": "10", "distanceuom": "Km", "edition": "First"}, "links": [{"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/15d74889-5a8d-4ff7-8f42-ffdd12fa108e/resources/LGPE.zip", "description": "Length of Growing Period in East Africa", "protocol": "WWW:DOWNLOAD-1.0-http--download", "rel": null}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/15d74889-5a8d-4ff7-8f42-ffdd12fa108e/resources/D_5.2.1.pdf", "description": "A spatially explicit assessment of specific vulnerabilities of the food system due to climate change and the identification of their causes; Technical report", "protocol": "WWW:DOWNLOAD-1.0-http--download", "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://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://storage.googleapis.com/fao-maps-catalog-data/uuid/15d74889-5a8d-4ff7-8f42-ffdd12fa108e/thumbnail/LGPE_s.png", "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/15d74889-5a8d-4ff7-8f42-ffdd12fa108e/large_thumbnail/LGPE.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": "15d74889-5a8d-4ff7-8f42-ffdd12fa108e", "name": "item", "description": "15d74889-5a8d-4ff7-8f42-ffdd12fa108e", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/15d74889-5a8d-4ff7-8f42-ffdd12fa108e"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1961-01-01T00:00:00Z", "1990-12-31T00:00:00Z"]}}, {"id": "18ab4c59-1836-4b7b-8b7f-99872b326c73", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[13.55, -28.11], [13.55, 19.22], [70.5, 19.22], [70.5, -28.11], [13.55, -28.11]]]}, "properties": {"themes": [{"concepts": [{"id": "society"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}], "updated": "2023-01-31T12:33:30", "created": "2013-08-01T22:00:00", "language": "eng", "title": "Vulnerable populations (person/km2) in East Africa - ClimAfrica WP5", "description": "In defining vulnerability, WFP (2009) and IFPRI (2012) have been followed and combined with indicators for food security with health indicators that signal vulnerability in a physical sense. IFPRI's Global Hunger Index uses three indicators to measure hunger: the number of adults being undernourished, the number of children that have low weight for age, and child mortality. Other classifications of food security use the variety of the diet as an indicator, combined with anthropometric data on children. However, in the DHS data there were no information available on child mortality, nor on dietary composition. Given these data limitations, data on nutritional status of women (Body Mass Index, BMI) for women and children (weight for age) have been used as indicators for food security. These data were combined with data on morbidity among adults and children, specifically the occurrence of malaria, cough, and diarrhea. Combinations of indicators have led to a classification of households as being very vulnerable, vulnerable, nearly vulnerable and not vulnerable. The Afrobarometer surveys did not include data on the BMI of adults nor weights for children. Here, the reported times the household went without food in the year were used prior to the date the survey was conducted as vulnerability indicator. The study area of households vulnerability included: rural, urban and total population.\nThis data set was produced in the framework of the \"Climate change predictions in Sub-Saharan Africa: impacts and adaptations (ClimAfrica)\" project, Work Package 5 (WP5). More information on ClimAfrica project is provided in the Supplemental Information section of this metadata. \n\nThis study in WP5 aimed to identify, locate and characterize groups that are vulnerable for climate change conditions in two country clusters; one in West Africa (Benin, Burkina Faso, C\u00f4te d'Ivoire, Ghana, and Togo) and one in East Africa (Sudan, South Sudan and Uganda). Data used for the study include the Demographic and Health Surveys (DHS) , the Multi Indicator Cluster Survey (MICS) and the Afrobarometer surveys for the socio-economic variables and grid level data on agro-ecological and climatic conditions.", "formats": [{"name": "ASCII format"}, {"name": "WWW:DOWNLOAD-1.0-http--download"}, {"name": "WWW:LINK-1.0-http--link"}], "keywords": ["degradation index", "soil degradation", "land degradation", "GLASOD", "WP5", "ClimAfrica", "Tag_climafrica", "Africa", "Sudan", "South Sudan", "Uganda"], "contacts": [{"name": "Lia van Wesenbeeck", "organization": "Centre for World Food Studies (SOW-VU)", "position": null, "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "c.f.a.vanwesenbeeck@sow.vu.nl"}], "addresses": [{"deliveryPoint": ["De Boelelaan 1105 1081 HV"], "city": "Amsterdam", "administrativeArea": null, "postalCode": "1081 HV", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Ben Sonneveld", "organization": "Centre for World Food Studies (SOW-VU)", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "B.G.J.S.sonneveld@sow.vu.nl"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "Centre for World Food Studies (SOW-VU)", "roles": ["creator"]}], "distancevalue": "10", "distanceuom": "Km", "edition": "First"}, "links": [{"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/18ab4c59-1836-4b7b-8b7f-99872b326c73/resources/VVRUE.zip", "description": "Very vulnerable rural population, persons/km2", "protocol": "WWW:DOWNLOAD-1.0-http--download", "rel": null}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/18ab4c59-1836-4b7b-8b7f-99872b326c73/resources/VRURE.zip", "description": "Vulnerable rural population, persons/km2", "protocol": "WWW:DOWNLOAD-1.0-http--download", "rel": null}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/18ab4c59-1836-4b7b-8b7f-99872b326c73/resources/BVRUE.zip", "description": "Nearly vulnerable rural population, persons/km2", "protocol": "WWW:DOWNLOAD-1.0-http--download", "rel": null}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/18ab4c59-1836-4b7b-8b7f-99872b326c73/resources/NVRUE.zip", "description": "Not vulnerable rural population, persons/km2", "protocol": "WWW:DOWNLOAD-1.0-http--download", "rel": null}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/18ab4c59-1836-4b7b-8b7f-99872b326c73/resources/VVURBE.zip", "description": "Very vulnerable urban population, persons/km2", "protocol": "WWW:DOWNLOAD-1.0-http--download", "rel": null}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/18ab4c59-1836-4b7b-8b7f-99872b326c73/resources/VURBE.zip", "description": "Vulnerable urban population, persons/km2", "protocol": "WWW:DOWNLOAD-1.0-http--download", "rel": null}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/18ab4c59-1836-4b7b-8b7f-99872b326c73/resources/BVURE.zip", "description": "Nearly vulnerable urban population, persons/km2", "protocol": "WWW:DOWNLOAD-1.0-http--download", "rel": null}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/18ab4c59-1836-4b7b-8b7f-99872b326c73/resources/VVTOTE.zip", "description": "Very vulnerable population, persons/km2", "protocol": "WWW:DOWNLOAD-1.0-http--download", "rel": null}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/18ab4c59-1836-4b7b-8b7f-99872b326c73/resources/VTOTAE.zip", "description": "Vulnerable population, persons/km2", "protocol": "WWW:DOWNLOAD-1.0-http--download", "rel": null}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/18ab4c59-1836-4b7b-8b7f-99872b326c73/resources/BVTOTE.zip", "description": "Nearly vulnerable population, persons/km2", "protocol": "WWW:DOWNLOAD-1.0-http--download", "rel": null}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/18ab4c59-1836-4b7b-8b7f-99872b326c73/resources/D_5.2.1.pdf", "description": "A spatially explicit assessment of specific vulnerabilities of the food system due to climate change and the identification of their causes; 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The UNEP-funded GLASOD project produced a world map of human-induced soil degradation. Data were compiled in cooperation with a large number of soil scientists throughout the world, using uniform guidelines and international correlation. The status of soil degradation was mapped within physiographic units, based on expert judgments, indicating the type, extent, degree, rate and main causes of the degradation process. To compare the impact of land degradation between different sites we created a land degradation index that attributes the following weights to area shares of the soil degradation classes 'light'= 1, 'moderate'=2, 'severe\u00e2' = 3 and 'very severe' = 4. Next, we scaled the index between a range of 0-1. Combining classes and area shares in a single land degradation index is common practice in many other peer reviewed studies (e.g. Leiwen et al., 2005; McCoubrey, 1998; Pace at al., 2008; Safriel, 1999; Sonneveld and Dent, 2009), which gives us, sufficient confidence to apply the index for our analysis.\nThis dataset has been used to complement the survey data and included in the \"Climate change predictions in Sub-Saharan Africa: impacts and adaptations (ClimAfrica)\" project, Work Package 5 (WP5). More information on ClimAfrica project is provided in the Supplemental Information section of this metadata.\nThis study in WP5 aimed to identify, locate and characterize groups that are vulnerable for climate change conditions in two country clusters; one in West Africa (Benin, Burkina Faso, C\u00f4te d'Ivoire, Ghana, and Togo) and one in East Africa (Sudan, South Sudan and Uganda). 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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": "WWW:LINK-1.0-http--link"}, {"name": "WWW:DOWNLOAD-1.0-ftp--download"}], "keywords": ["climate impact", "agriculture", "water", "crop yield", "crop production", "WP3", "ClimAfrica", "Tag_climafrica", "Africa"], "contacts": [{"name": "Per Bodin", "organization": "Lund University - Department of Physical Geography and Ecosystem Science", "position": "Researcher", "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "per.e.bodin@gmail.com"}], "addresses": [{"deliveryPoint": ["S\u00f6lvegatan 12"], "city": "Lund", "administrativeArea": null, "postalCode": "S-223 62", "country": "Sweden"}], "links": [{"href": null}]}, {"organization": "Lund University - Department of Physical Geography and Ecosystem Science", "roles": ["creator"]}], "distancevalue": "0.5", "distanceuom": "Degree", "edition": "First"}, "links": [{"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": "ftp://ftp.bgc-jena.mpg.de/pub/outgoing/ClimAfrica/Results/", "description": "DOWNLOAD - Analysis of climate impacts on agriculture and water", "protocol": "WWW:DOWNLOAD-1.0-ftp--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}, {"rel": "self", "type": "application/geo+json", "title": "3e6ff174-c695-4004-83b3-f64f559d3e80", "name": "item", "description": "3e6ff174-c695-4004-83b3-f64f559d3e80", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3e6ff174-c695-4004-83b3-f64f559d3e80"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date-time": "2023-01-25T09:55:04Z"}}, {"id": "56e63f0c-c2cb-4ac1-a40e-f785e04730e0", "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": "2023-01-25T10:37:54", "language": "eng", "title": "Runoff - ClimAfrica WP3", "description": "Grid cell-specific runoff, including surface runoff, lateral runoff, and percolation water. 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ClimAfrica WP4", "description": "The correlation coefficients between yield and other factors have been computed at the zone level for the period 1981-2050 and classified in 5 classes. These correlations allow identifying the causes of a negative or positive impact of climate on maize's yield.\nThis data set has been produced in the framework of the \u201cClimate change predictions in Sub-Saharan Africa: impacts and adaptations (ClimAfrica)\u201d project, Work Package 4 (WP4). 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Various data streams that diagnose the variability of the climate, in particular the water cycle, and the productivity of ecosystems in the past decades, have been collected, analyzed and synthesized. The data streams range from ground-based observations and satellite remote sensing to model simulations. 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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": "79313802-32cb-4d38-b41c-3732efcbbbc0", "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": "2023-01-30T17:07:21", "language": "eng", "title": "Crop suitability index maps - ClimAfrica WP3", "description": "Suitability maps (produced through a combination of soil and climate suitability) for maize, millet and Sorghum, for baseline (1971-2000), 2025 (2010-2039), 2055 (2040-2069), and 2085 (2070-2099).\nInput Parameters for Climate: Minimum and Maximum Temperature, Precipitation.\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 by UCT at 0.5\u00b0, RCP 8.5.\nInput Sources for Soil: 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": "WWW:LINK-1.0-http--link"}], "keywords": ["climate", "climate impact", "temperature", "agriculture", "water", "crop yield", "crop production", "WP3", "ClimAfrica", "Tag_climafrica", "Africa"], "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", "description": "Climafrica Website - Climate Change Predictions in Sub-Saharan Africa: Impacts And Adaptations", "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": "79313802-32cb-4d38-b41c-3732efcbbbc0", "name": "item", "description": "79313802-32cb-4d38-b41c-3732efcbbbc0", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/79313802-32cb-4d38-b41c-3732efcbbbc0"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1990-01-01T00:00:00Z", "2080-12-31T00:00:00Z"]}}, {"id": "7dd3e632-919c-4ab3-9a3e-8c5785292dc4", "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": "2023-01-25T10:45:49", "language": "eng", "title": "Gross Primary Productivity (GPP) - ClimAfrica WP3", "description": "Monthly Gross Primary Productivity (GPP) of natural vegetation (no cropland). \nUnit: kgC/m\u00b2/s\nClimate Input: MIROC5, CanESM, GFDL\nDownscaling method/bias correction: RCA3, QMBC, SOMD\nCO2 scenarios: B1 transient CO2, B2 constant CO2 at 1960 level (316.27ppm)\nLand use: land use is kept constant at the year 2000 distribution. \nTemporal Extent: 1961-2099 (monthly resolution)\nSpatial Extent: Africa\nSpatial Resolution: 0.5\u00b0 grid cell\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 aims 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": "WWW:DOWNLOAD-1.0-ftp--download"}, {"name": "WWW:LINK-1.0-http--link"}], "keywords": ["climate", "climate impact", "natural vegetation", "Gross Primary Productivity", "GPP", "WP3", "ClimAfrica", "Tag_climafrica", "Africa"], "contacts": [{"name": "Jonas Jagermeyr", "organization": "Potsdam Institute for Climate Impact Research (PIK)", "position": "Researcher", "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "jonas.jaegermeyr@pik-potsdam.de"}], "addresses": [{"deliveryPoint": ["Telegrafenberg 31"], "city": "Potsdam", "administrativeArea": null, "postalCode": "14473", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "Potsdam Institute for Climate Impact Research (PIK)", "roles": ["creator"]}], "distancevalue": "0.5", "distanceuom": "Degree", "edition": "First"}, "links": [{"href": "ftp://ftp.bgc-jena.mpg.de/pub/outgoing/ClimAfrica/Results/LPJmL/SOMD/ClimAf_1_1961_2099_lpjm_can_wfdei_somd_B2_gppxx_mon_cell.nc.gz", "description": "DOWNLOAD - Gross Primary Productivity (GPP)", "protocol": "WWW:DOWNLOAD-1.0-ftp--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 Website - Climate Change Predictions In Sub-Saharan Africa: Impacts And Adaptations", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"rel": "self", "type": "application/geo+json", "title": "7dd3e632-919c-4ab3-9a3e-8c5785292dc4", "name": "item", "description": "7dd3e632-919c-4ab3-9a3e-8c5785292dc4", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/7dd3e632-919c-4ab3-9a3e-8c5785292dc4"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1961-01-01T00:00:00Z", "2099-12-31T00:00:00Z"]}}, {"id": "7f1cfa9a-8491-4e67-b12f-63aae00a8ce5", "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": "2023-01-30T17:09:19", "language": "eng", "title": "Length of growing season maps - ClimAfrica WP3", "description": "Length of growing season maps for maize, millet and Sorghum, for baseline (1971-2000), 2025 (2010-2039), 2055 (2040-2069), and 2085 (2070-2099).\nInput Parameters for Climate: Minimum and Maximum Temperature.\nInput Sources for Climate: 3 GCMs (MIROC5, CanESM2 and NOAA-GFDL) statistically downscaled by UCT at 0.5\u00b0, RCP 8.5.\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. 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The agro-edaphic suitability classification is to a large extent based on experience documented by Prof. C. Sys and others (e.g. FAO, 1978-81a; Sys and Riquier, 1980). The suitability rating is based on a comparison of a general soil requirement assessment for crop growth and prevailing edaphic conditions.\nThis dataset has been used to complement the survey data and included in the \"Climate change predictions in Sub-Saharan Africa: impacts and adaptations (ClimAfrica)\" project, Work Package 5 (WP5). More information on ClimAfrica project is provided in the Supplemental Information section of this metadata.\nThis study in WP5 aimed to identify, locate and characterize groups that are vulnerable for climate change conditions in two country clusters; one in West Africa (Benin, Burkina Faso, C\u00f4te d'Ivoire, Ghana, and Togo) and one in East Africa (Sudan, South Sudan and Uganda). Data used for the study include the Demographic and Health Surveys (DHS) , the Multi Indicator Cluster Survey (MICS) and the Afrobarometer surveys for the socio-economic variables and grid level data on agro-ecological and climatic conditions.", "formats": [{"name": "ASCII format"}, {"name": "WWW:DOWNLOAD-1.0-http--download"}, {"name": "WWW:LINK-1.0-http--link"}], "keywords": ["soil", "soil suitability", "soil constraints", "edaphic conditions", "WP5", "ClimAfrica", "Tag_climafrica", "Africa", "Benin", "Burkina Faso", "Cote d'Ivoire", "Ghana"], "contacts": [{"name": "Lia van Wesenbeeck", "organization": "Centre for World Food Studies (SOW-VU)", "position": null, "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "c.f.a.vanwesenbeeck@sow.vu.nl"}], "addresses": [{"deliveryPoint": ["De Boelelaan 1105 1081 HV"], "city": "Amsterdam", "administrativeArea": null, "postalCode": "1081 HV", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Ben Sonneveld", "organization": "Centre for World Food Studies (SOW-VU)", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "B.G.J.S.sonneveld@sow.vu.nl"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "Centre for World Food Studies (SOW-VU)", "roles": ["creator"]}], "distancevalue": "10", "distanceuom": "Km", "edition": "First"}, "links": [{"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/97e0264a-bec6-450e-b820-3b8b3cc29f90/resources/SOIW.zip", "description": "Soil Suitability in West Africa", "protocol": "WWW:DOWNLOAD-1.0-http--download", "rel": null}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/97e0264a-bec6-450e-b820-3b8b3cc29f90/resources/D_5.2.1.pdf", "description": "A spatially explicit assessment of specific vulnerabilities of the food system due to climate change and the identification of their causes; Technical report", "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/97e0264a-bec6-450e-b820-3b8b3cc29f90/thumbnail/SOIW_s.png", "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/97e0264a-bec6-450e-b820-3b8b3cc29f90/large_thumbnail/SOIW.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": "97e0264a-bec6-450e-b820-3b8b3cc29f90", "name": "item", "description": "97e0264a-bec6-450e-b820-3b8b3cc29f90", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/97e0264a-bec6-450e-b820-3b8b3cc29f90"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date-time": "2023-02-01T13:43:10Z"}}, {"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": "be4e86ff-8f4e-4789-95ab-f2bade70f9a0", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-33.45, -17.06], [-33.45, 29.04], [17.56, 29.04], [17.56, -17.06], [-33.45, -17.06]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}], "updated": "2023-01-31T12:18:41", "created": "2013-08-01T22:00:00", "language": "eng", "title": "Soil degradation index in West Africa - ClimAfrica WP5", "description": "The soil degradation index is based on the Global Assessment of Human-induced Soil Degradation (GLASOD) (Oldeman et al., 1991). The UNEP-funded GLASOD project produced a world map of human-induced soil degradation. Data were compiled in cooperation with a large number of soil scientists throughout the world, using uniform guidelines and international correlation. The status of soil degradation was mapped within physiographic units, based on expert judgments, indicating the type, extent, degree, rate and main causes of the degradation process. To compare the impact of land degradation between different sites we created a land degradation index that attributes the following weights to area shares of the soil degradation classes 'light'= 1, 'moderate'=2, 'severe' = 3 and 'very severe' = 4. Next, we scaled the index between a range of 0-1. Combining classes and area shares in a single land degradation index is common practice in many other peer reviewed studies (e.g. Leiwen et al., 2005; McCoubrey, 1998; Pace at al., 2008; Safriel, 1999; Sonneveld and Dent, 2009), which gives us, sufficient confidence to apply the index for our analysis.\nThis dataset has been used to complement the survey data and included in the ''Climate change predictions in Sub-Saharan Africa: impacts and adaptations (ClimAfrica)'' project, Work Package 5 (WP5). More information on ClimAfrica project is provided in the Supplemental Information section of this metadata.\n\nThis study in WP5 aimed to identify, locate and characterize groups that are vulnerable for climate change conditions in two country clusters; one in West Africa (Benin, Burkina Faso, C\u00f4te d'Ivoire, Ghana, and Togo) and one in East Africa (Sudan, South Sudan and Uganda). Data used for the study include the Demographic and Health Surveys (DHS) , the Multi Indicator Cluster Survey (MICS) and the Afrobarometer surveys for the socio-economic variables and grid level data on agro-ecological and climatic conditions.", "formats": [{"name": "ASCII format"}, {"name": "WWW:DOWNLOAD-1.0-http--download"}, {"name": "WWW:LINK-1.0-http--link"}], "keywords": ["degradation index", "soil degradation", "land degradation", "GLASOD", "WP5", "ClimAfrica", "Tag_climafrica", "Africa", "Benin", "Burkina Faso", "Cote d'Ivoire", "Ghana"], "contacts": [{"name": "Lia van Wesenbeeck", "organization": "Centre for World Food Studies (SOW-VU)", "position": null, "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "c.f.a.vanwesenbeeck@sow.vu.nl"}], "addresses": [{"deliveryPoint": ["De Boelelaan 1105 1081 HV"], "city": "Amsterdam", "administrativeArea": null, "postalCode": "1081 HV", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Ben Sonneveld", "organization": "Centre for World Food Studies (SOW-VU)", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "B.G.J.S.sonneveld@sow.vu.nl"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "Centre for World Food Studies (SOW-VU)", "roles": ["creator"]}], "distancevalue": "10", "distanceuom": "Km", "edition": "First"}, "links": [{"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/be4e86ff-8f4e-4789-95ab-f2bade70f9a0/resources/DEGW.zip", "description": "Degradation index in West Africa", "protocol": "WWW:DOWNLOAD-1.0-http--download", "rel": null}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/be4e86ff-8f4e-4789-95ab-f2bade70f9a0/resources/D_5.2.1.pdf", "description": "A spatially explicit assessment of specific vulnerabilities of the food system due to climate change and the identification of their causes; Technical report", "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/be4e86ff-8f4e-4789-95ab-f2bade70f9a0/thumbnail/DEGW_s.png", "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/be4e86ff-8f4e-4789-95ab-f2bade70f9a0/large_thumbnail/DEGW.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": "be4e86ff-8f4e-4789-95ab-f2bade70f9a0", "name": "item", "description": "be4e86ff-8f4e-4789-95ab-f2bade70f9a0", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/be4e86ff-8f4e-4789-95ab-f2bade70f9a0"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date-time": "2023-01-31T12:18:41Z"}}, {"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": "eb4f7b80-b216-41e0-aaa7-0a59ea476460", "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": "2023-01-25T10:33:17", "language": "eng", "title": "Yield reduction maps - ClimAfrica WP3", "description": "Yield reduction maps for maize, millet and Sorghum, for 1990, 2020, 2050 and 2080.\nInput Parameters for Climate: Minimum and Maximum Temperature, Precipitation.\nInput Parameters for Soil: Texture, Depth, Drainage, Slope, pH, Organic content, Ece, EXP.\n Input Sources for Climate: 3 GCMs (MIROC5, CanESM2 and NOAA-GFDL) statistically downscaled by UCT at 0.5\u00b0, RCP 8.5.\nInput Sources for Soil: 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 aimes 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": "WWW:LINK-1.0-http--link"}], "keywords": ["climate", "climate impact", "temperature", "agriculture", "water", "crop yield", "yield reduction", "WP3", "ClimAfrica", "Tag_climafrica", "Africa"], "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"}, "links": [{"href": "https://www.cmcc.it/projects/climafrica-climate-change-predictions-in-sub-saharian-africa-impacts-and-adaptations", "name": "Climafrica Website - Climate Change Predictions In Sub-Saharan Africa: Impacts And Adaptations", "protocol": "WWW:LINK-1.0-http--link", "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}, {"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": "eb4f7b80-b216-41e0-aaa7-0a59ea476460", "name": "item", "description": "eb4f7b80-b216-41e0-aaa7-0a59ea476460", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/eb4f7b80-b216-41e0-aaa7-0a59ea476460"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1990-01-01T00:00:00Z", "2080-12-31T00:00:00Z"]}}, {"id": "ef6e46de-00fd-4508-9e32-e52d5df1b849", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[13.55, -28.11], [13.55, 19.22], [70.5, 19.22], [70.5, -28.11], [13.55, -28.11]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}], "updated": "2023-01-31T12:14:24", "created": "2013-08-01T22:00:00", "language": "eng", "title": "Soil Suitability in East Africa - ClimAfrica WP5", "description": "The soil suitability map combines various soil constraints to calculate the area share where agricultural activities are seriously restricted. 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