Natural Resources

Total number of THREATENED terrestrial vertebrate (mammals, amphibians, birds and reptiles) species whose distribution range overlap in each pixel and ENDEMIC to the COUNTRY. Threatened species are listed in IUCN RED LIST under the category of extinction risk: Critically Endangered, Endangered and Vulnerable.

Total number of THREATENED terrestrial vertebrate species whose distribution range overlap in each pixel. Threatened species are listed in IUCN RED LIST under the category of extinction risk: Critically Endangered, Endangered and Vulnerable.

This dataset represents a geographic clip to Africa of the World Database on Protected Areas (WDPA), which is the authoritative and most complete global dataset on terrestrial and marine protected areas. The parent database is a joint initiative between the UN Environment Programme (UNEP) and the International Union for Conservation of Nature (IUCN), managed by the UNEP World Conservation Monitoring Centre (UNEP-WCMC). Information is submitted and verified by international secretariats, national and regional governments, NGOs, communities, and landowners. This spatial dataset has been specifically filtered and clipped to include only protected areas located within the terrestrial and marine boundaries of the African continent and its associated island nations. The dataset comprises both spatial data (GIS boundaries) and attribute data (descriptive information) for protected sites across Africa. Key attributes include site name, designation type (national, regional, or international), governance model, IUCN management category, marine/terrestrial status, and legal establishment date. The WDPA is the primary global mechanism used to track progress toward international area-based conservation targets. This African subset is widely used across various sectors for: Conservation & Science: Ecological research, protected area monitoring, and biodiversity assessments specific to African biomes. Corporate & Financial Risk: Environmental impact assessments and supply chain risk analyses for infrastructure and commercial projects operating in Africa. Policy & Reporting: Informing national and international decision-making and tracking regional progress toward the UN Sustainable Development Goals and the Kunming-Montreal Global Biodiversity Framework. The global WDPA dataset is updated and released on a monthly basis through the Protected Planet platform. This clip was extracted on May 2026.

This spatial dataset contains the geographic boundaries and ecological evaluations of 45 Key Landscapes for Conservation and Development (KLCDs) across Sub-Saharan Africa. Building on the Key Landscapes for Conservation (KLCs) identified in the EU report “Larger than elephants”, the NaturAfrica initiative is rolled out across these key biodiversity and development landscapes. NaturAfrica's efforts are concentrated on ‘mega-landscapes’—biogeographical regions identified as crucial for both conservation and development. These regions encompass: The forest ecosystems of the Congo Basin; Landscapes of transhumance pastoralists in North Cameroon, the Central African Republic, and Chad; Guinean forests of West Africa; Savannahs in the Sudano-Sahelian zone of West Africa; Savannahs and watersheds of the East Africa rift; Transfrontier conservation areas of Southern Africa. The layer was developed to support the prioritization of intervention areas for the second phase of this initiative, which combines conservation with sustainable job creation. It provides a spatially explicit characterization of ecological value across these landscapes, evaluated and attributed based on five core ecological and environmental dimensions: Threatened Species Richness: Concentration and diversity of threatened species. Species Endemicity: Presence of endemic species unique to the specific geographic region. Ecosystem Integrity: The integrity of protected and conserved areas, accounting for degrees of human modification and habitat fragmentation. Ecological Connectivity: The degree of connectivity and spatial linkages between protected and conserved areas. Ecosystem Services: Provisioning and regulating services, with a specific focus on carbon storage and water services. Purpose The layer was created to inform the EC Directorate General for International Partnerships (DG INTPA) and policymakers in selecting and prioritizing funding intervention areas based on specific targets (e.g., species conservation, connectivity, or water security) within different biogeographical regions. It serves as a spatial decision-support tool to align with the European Green Deal and the EU Biodiversity Strategy for 2030. Geographic Extent Region: Sub-Saharan Africa Coverage: 45 distinct Key Landscapes for Conservation and Development (KLCDs) Keywords Thematic: Biodiversity Conservation, NaturAfrica, Ecosystem Services, Protected Areas, Habitat Connectivity, Species Endemicity, European Green Deal, Ecosystem Integrity, Transfrontier Conservation, Mega-landscapes. Spatial: Sub-Saharan Africa, Congo Basin, West Africa, East Africa, Southern Africa, Sudano-Sahelian zone. Lineage / Data Source This dataset is derived from the technical assessment conducted for the European Commission Knowledge Centre for Biodiversity (KCBD) .

Access to piped water reflects the availability of improved water sources directly delivered to households. This layer shows the percentage of people with access to piped water in 2017. Low coverage may signal the need for targeted interventions, potentially supported by decentralized energy systems to power water pumping and distribution.

Water Footprint in Africa, considered as the sum of both the green and blue WF and defined as the ratio between evapotranspiration (in m3 per hectare) and crop yield (in ton per hectare). The values are expressed in m3/ton.

A placeholder layer to get the legend in the GBIF dataset

The current version of the GDW database (version 1.0) aims to catalogue all types of anthropogenic instream barriers. While initial mapping efforts prioritize major dams that form reservoirs, as well as run-of-river barriers on larger rivers where more information is readily available, the dataset comprises two distinct but interconnected spatial layers: Barrier and Dam Locations (Point Layer): Contains barrier and dam locations, geospatially referenced as point coordinates and co-registered to the global river network of HydroSHEDS. Reservoir Extents (Polygon Layer): Contains associated reservoir polygons, which includes data representing the maximum storage capacity of the reservoirs measured in million cubic meters.

"This map shows, for each grid cell, the Capacity installed [MW] by potential Direct Use Systems and High Temperature Heat Pumps. The maps refer to: base case scenario; upside scenario; up up side scenario. This layer is part of the Geothermal Atlas for Africa developed within the LEAP-RE project"

"This map shows, for each grid cell, the Capacity installed [MW] by potential Cooling Absorption System and Refrigeration Absorption System. The maps refer to: base case scenario; upside scenario; up up side scenario. This layer is part of the Geothermal Atlas for Africa developed within the LEAP-RE project"

"This map shows, for each grid cell, the Levelized Cost of Heat [c$/kWh] generated by the following systems: Direct Use; High Temperature Heat Pump; The maps refer to: base case scenario; upside scenario, modelling a better fluid flow; up up side, modelling both better fluid flow and higher underground temperatures. These layers are part of the Geothermal Atlas for Africa developed within the LEAP-RE project"

"This map shows, for each grid cell, the Capacity installed [MW] by potential Binary ORC and Flash Power Plants. The maps refer to: base case scenario; upside scenario; up up side scenario. This layer is part of the Geothermal Atlas for Africa developed within the LEAP-RE project"

"This map shows, for each grid cell, the Levelized Cost of Electricity [c$/kWh] generated by the following systems: Binary ORC Power Plant; Flash Power Plant; The maps refer to: base case scenario; upside scenario, modelling a better fluid flow; up up side, modelling both better fluid flow and higher underground temperatures. These layers are part of the Geothermal Atlas for Africa developed within the LEAP-RE project"

"This map shows, for each grid cell, the environmental impact in terms of CO₂-equivalent emissions per kilowatt-hour [g CO2 eq/kWh] generated by by the following systems: Cooling Absorption System; Refrigeration Absorption System; Binary ORC Power Plant; Flash Power Plant; Heat for Direct Use; Heat for High Temperature Heat Pump; The maps refer to: base case scenario; upside scenario, modelling a better fluid flow; up up side, modelling both better fluid flow and higher underground temperatures. This layer is part of the Geothermal Atlas for Africa developed within the LEAP-RE project"

"This map shows, for each grid cell, the Levelized Cost of Cold [c$/kWh] generated by the following systems: Cooling Absorption System; Refrigeration Absorption System; The maps refer to: base case scenario; upside scenario, modelling a better fluid flow; up up side, modelling both better fluid flow and higher underground temperatures. These layers are part of the Geothermal Atlas for Africa developed within the LEAP-RE project"