ETH_2014_2016_NFI_v01_M_v01_A_ESS DDI_ETH_2014_2016_NFI_v01_M_v01_A_ESS_FAO Ethiopian Forestry Development Statistics Division Nesstar Publisher National Forest Inventory of Ethiopia 2014-2016 NFI_Ethiopia_2014_2016 ETH_2014_2016_NFI_v01_M_v01_A_ESS Ethiopian Forestry Development (EFD) Food and Agriculture Organization of the United Nations Regional Forestry Institutions Nesstar Publisher The Norwegian Agency for Development Cooperation Heiru Sebrala Ahmed Ethiopian Forestry Development (EFD) Forest Resource Survey One previous National Forest Inventory took place in 2004 which was called 'Woody Biomass Inventory and Strategic Planning Project (WBISPP)'. Sampling Forest Trees Shrubs DBH Tree Height Stumps Tree Biomass Tree Volume Carbon Deadwood Land Use Tree Biodiversity Land Cover Forest Resources Assessment Ethiopia’s first National Forest Inventory (NFI), conducted from 2014 to 2016, aimed to establish a comprehensive baseline on biomass and forest resources to support sustainable forest management, inform policy, track climate actions, and meet national and international reporting needs. Using a stratified systematic sampling approach, 539 sampling units were measured across the country's biomes. About 40.3 percent of aboveground biomass is found in naturally regenerated forests, while Trees Outside Forests (ToFs) represent a significant share of the growing stock, particularly in agricultural and urban landscapes. The NFI established a permanent network of forest inventory plots, a national database using Open Foris tools, and a methodological framework for long-term forest monitoring. Ethiopia National Fields/ Plots Sample survey data [ssd] The data collected are applicable until the next NFI. Field measurement Ratio estimators (relationship between tree variables and hectares of forest) Out of 627 planned sampling units, 539 were accessible and measured (86 percent). Sampling error estimates are influenced by the reporting domains (aggregation categories), the stratification structure of the design, and the varying weights assigned to individual cluster plots. Tree height measurements were conducted using hypsometers and the tangent method. Previous research has indicated that this technique may lead to overestimations, especially when the observer's distance from the tree is shorter than the tree's actual height. This scenario frequently arises during forest inventories, as dense vegetation often obstructs clear lines of sight, forcing survey teams to take measurements from close proximity. Pending, Will vary based on data sharing option MEFCC (Ministry of Environment, Forest and Climate Change). 2018. Ethiopia’s National Forest Inventory: Final Report. Addis Ababa, Ethiopia. Pending, Will vary based on data sharing option