Source: National Forest Resources Monitoring and Assessment of Tanzania (NAFORMA). 2016. Food and Agriculture Organization of the United Nations. Methodology: This map shows the predicted above ground biomass [Mg per ha] at 30 m spatial resolution. It has been created using the k nearest neighbour (knn) approach, with the NAFORMA field data on above ground biomass as training data. The ancillary data used for prediction included Landsat 8, ALOS and Sentinel 1 data.

Source: IUCN and UNEP-WCMC. 2013. The World Database on Protected Areas (WDPA) Cambridge, UK. Available at www.protectedplanet.net

Source: National Forest Resources Monitoring and Assessment of Tanzania (NAFORMA). 2016. Food and Agriculture Organization of the United Nations. Methodology: This map shows the predicted total volume [m3 per ha] at 30 m spatial resolution. It has been created using the k nearest neighbour (knn) approach, with the NAFORMA field data on total volume as training data. The ancillary data used for prediction included Landsat 8, ALOS and Sentinel 1 data.

Source: National Forest Resources Monitoring and Assessment of Tanzania (NAFORMA). 2015. Ministry of Natural Resources and Tourism, Tanzania. Methodology: The map shows the locations of NAFORMA clusters where edible plants were observed. Background: Non-timber forest products are important benefits that the forest provide to the population of Tanzania. REDD+ activities could be designed to assist communities to sustainably extract subsistence or income sources from the forest, where possible. Edible and medicinal plants were observed in most parts of the country. The NAFORMA inventory found that nearly 30% of interviewed household collected plant-based food from the forest.

Source: National Forest Resources Monitoring and Assessment of Tanzania (NAFORMA). 2015. Ministry of Natural Resources and Tourism, Tanzania. Methodology: This map shows the predicted above ground biomass [MG per ha] at 250 m resolution. It has been created by using the NAFORMA field data on above ground biomass as training data, and using random forest as model. The ancillary data used for prediction included NDVI and seasonal parameters derived from MODIS data, elevation, as well as climatic variables.

Tanzania Forest Service 2013. Forest Reserves of Tanzania - http://www.tfs.go.tz/

Source: National Forest Resources Monitoring and Assessment of Tanzania (NAFORMA). 2015. Ministry of Natural Resources and Tourism, Tanzania. Methodology: The map shows the locations of NAFORMA clusters where edible plants were observed. Background:Non-timber forest products are important benefits that the forest provide to the population of Tanzania. REDD+ activities could be designed to assist communities to sustainably extract subsistence or income sources from the forest, where possible. In Tanzania, beekeeping activities can be a potentially sustainable forest supported livelihood source. Activities were found concentrated in forests south of Tabora.

Source: ISRIC/Tanzania Forest Service/FAO, 2013. Map of soil organic carbon content (lower boundary of the 90% prediction interval) for the 0-30-cm layer of the United Republic of Tanzania at 250 m resolution - Version 2.0. Download: The ISRIC website provides further information on the project - http://www.isric.org/projects/carbon-mapping-tanzania - and allows to download the resulting topsoil organic carbon maps of the United Republic of Tanzania - http://www.isric.org/data/topsoil-organic-carbon-maps-united-republic-tanzania. Methodology: This layer shows the SOC concentration (%) of the lower boundary of the 90% prediction interval, predicted with regression-kriging (RK) for the 0-30-cm layer. Target depths for mapping were 0-10 cm, 10-20 cm, 20-30 cm, and 0-30 cm. The soil point dataset, with over 3,200 observations of soil organic carbon content, used was the most comprehensive dataset collected in Tanzania so far. In addition, a total of 37 environmental data layers were used as covariates. The soil organic carbon content was predicted with regression-kriging at 250 m and 1000 m spatial resolution. </p> <p><b>Background:</b> The map shows relatively large carbon contents along the western boundary, the Serengeti plains, the volcanoes in the north and in a band stretching from Lake Malawi to the Indian Ocean. Low SOC concentrations were predicted in the central parts of Tanzania. This part of Tanzania is heavily used for agriculture, including slash-and-burn agriculture. Such practices degrade the SOC pool. The predicted spatial patterns closely follow the spatial pattern of the carbon concentrations observed at sampling sites used to generate the maps. Predicted SOC concentrations decreases with depth, which is generally observed in soils. For the 0-10-cm layer the average predicted SOC concentration is 1.31%, for the 10-20-cm layer this is 0.93%, for the 20-30-cm layer 0.72%, and for the 0-30-cm layer 1.00%. Further information: The project ‘Development of a soil carbon map based on NAFORMA and non-NAFORMA datasets for the United Republic of Tanzania’ aimed to map the organic carbon content of the Tanzanian topsoil in support of the UN-REDD programme in Tanzania and the National Forest Resources Management and Assessment (NAFORMA). The project was Norwegian funded and technical support was provided by the FAO. The project was carried in a collaborative effort with the Tanzania Forest Services Agency (Ministry of Natural Resources and Tourism), Sokoine University of Agriculture, ARI Mlingano (Ministry of Agriculture and Food Security and Cooperatives), Department of Forest and Non-Renewable Natural Resources (Ministry of Agriculture and Natural Resources Zanzibar) and African Soil Information Service (AfSIS). The ISRIC website - http://www.isric.org/projects/carbon-mapping-tanzania - provides further information on the project and allows to download the resulting topsoil organic carbon maps of the United Republic of Tanzania - http://www.isric.org/data/topsoil-organic-carbon-maps-united-republic-tanzania.