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    Home / Food and Agriculture Microdata Catalogue / FORESTRY / UGA_2016-2019_NBS_V01_EN_M_V01_A_OCS
Forestry

National Biomass Study, 2016-2019.

Uganda, 2016 - 2019
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Reference ID
UGA_2016-2019_NBS_v01_EN_M_v01_A_OCS
Producer(s)
National Forest Authority, Ministry of Water and Environment, District Forest Services
Collections
Forest Inventory Data
Metadata
Documentation in PDF DDI/XML JSON
Created on
Nov 16, 2021
Last modified
Nov 16, 2021
Page views
7120
Downloads
786
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Identification
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data collection
  • Data processing
  • Data appraisal
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    UGA_2016-2019_NBS_v01_EN_M_v01_A_OCS

    Title

    National Biomass Study, 2016-2019.

    Country
    Name Country code
    Uganda UGA
    Study type

    Forest survey

    Series Information

    Three previous phases of the NBS for woody biomass assessment took place in 1989-90 in 7 peri-urban areas, 1990-2002 and 2003-2006 at national level mostly outside protected areas. (see Chapter 1.2 of document "UGANDA NATIONAL FOREST INVENTORY (NFI)"). Also, the Exploratory Inventory (EI) 1990-1995 (not comparable in scope and coverage) was mostly on Central Forest Reserves (protected areas) and was used together with the NBS to compound the National Forest Inventory (NFI) estimates.

    Abstract

    National Biomass Survey (NBS) - was designed in 1989 to quantify biomass stock across the landscape in all woody formations including bush and agricultural residues with the purpose to evaluate the biomass energy contributes of Uganda’s total delivered energy. After the REDD+ programme engagement, Uganda used the biomass information from NBS for climate change studies. NBS reports provide very reliable statistics on biomass resources down to Sub- County level.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Plants

    Scope

    Notes

    BIOMASS: quantify biomass stock across the landscape in all woody formations including bush and agricultural residues

    Topics
    Topic
    Forest production and carbon stocks
    Keywords
    Forests Carbon Tree biomass Tree Volume Deadwood Land use Canopy cover Tree biodiversity Forest Production Land cover Forest fire evidence

    Coverage

    Geographic Coverage

    National Coverage.

    Universe

    Trees = 3 cm DBH. Deadwood pieces = 10 cm diameter

    Producers and sponsors

    Primary investigators
    Name Affiliation
    National Forest Authority NFA
    Ministry of Water and Environment
    District Forest Services
    Producers
    Name Role
    Ministry of Water and Environment Coordination
    District Forest Services Support in Field Operation
    Food and Agriculture Organization Technical Support
    Funding Agency/Sponsor
    Name Role
    Forest Carbon Partnership Facility
    Austria Development Agency
    Food and Agriculture Organization Implementation Agency

    Sampling

    Sampling Procedure

    Systematic cluster grid of 5 km by 5 km, stratified by three population intensities of less than 50 people per km, between 50 and 100 people per km and above 100 people per km. Sampling included protected areas. Out of a cluster (PSU) of nine plots (SSU, their plot centers separated 300 m producing a cluster cross shape and 0.25 ha - 50 x 50 m - of area ) on each grid intersection a minimum of three plots are measured. A total of 439 square plots in a sampled area of 110 hectares. Given the unequal geographical representativity of the samples, it is difficult to assign a sampling intensity. The plot selection is made during the planning phase by the field Inventory Supervisor, the Field team leaders are allowed to make alternative selections only if a preselected plot(s) is inaccessible. Selection priority is given to the plot numbers 1, 2 and 3 at the centre although any other plot may be measured as replacement of any of the three key plots. Interest in getting information on certain vegetation types may influence plot selection. Each square plot is subdivided into five strips measuring 10 by 50 metres, running in the east-west direction. Tree measurements are done systematically from one strip to another, and tree numbering is based on the location of the tree in the strip. This is intended to make tree re-identification easier during subsequent visits. NBS has a nested plot approach whereby the minimum measurable DBH in the first strip is 3cm. In the rest of the plot, the DBH threshold is trees of 5cm and above.

    Deviations from the Sample Design

    The within-cluster plot selection protocol makes a proper probabilistic selection of plots as sampling units impossible. Hence taking cluster as the minimum sampling unit while using an uneven inclusion probability approach is recommendable in the analysis. The unit of analysis, however, was a cluster - weighted by total plot within cluster area.

    Response Rate

    Response rates are close to 100% due to the within-cluster plot selection protocol (whereby 3 plots out of the possible 9 per cluster, are selected - if one pre-selected plot is inacessible the crew leader will choose another one).

    Weighting

    Sample weights were determined according to area expansion factors (in regards to a reference 0.5 ha. total area per SSU). Hence they are given as:
    Weight w of trees and deadwood pieces included in whole plot: 0.25 ha/0.25 ha =1
    Weight w of strip 1 for trees 3=DBH<5 cm: 0.25 ha/0.05 ha = 5
    Reweighting if cluster is statistical unit of analysis: w * 9 plots per cluster/no. plots enumerated in cluster

    Data collection

    Dates of Data Collection
    Start End Cycle
    2016-01 2019-07 5
    Time Method

    The reference period for the BS was from 1 January 2016 to 31 December 2019. However, data on trees, deadwoood and forests numbers were recorded as of the time of the visit of the enumerator to the plots.

    Mode of data collection
    • Other [oth]
    Data Collection Notes

    Data collected by measuring and observing variables in the field and entering data in a tablet with specific software (OpenForis)

    Data processing

    Data Editing

    Several data quality control procedures too place: 1) 10% of plots in the field were rechecked by peer teams (Number of trees not correctly identified, Number of trees that are supposed to be in a plot but were omitted, Number of trees that were not supposed to be in a plot but were included, DBH error measurements in percent error from the correct measurement, Height error measurement percent error from the correct measurement, Incorrect recording of plot coordinates, Incorrect recording of land use\cove). 2) minimum and maximum limits to DBH and height values (which are mandatory) are built in the mobile device forms and software (Open Foris Collect) to capture data, which automatically val.Data Cleaning ex-post collection has been done by analyzing the species names, heights, DBH, number of trees per hectare. Only errors have been removed but not the outliers.idates data entries according to validation rules. 3) a daily manual supervision of the data enumerated takes place by the field crew leader

    Data appraisal

    Estimates of Sampling Error

    Tree heights were measured with hypsometers using the tangent method, which has been observed in other studies to possibly overestimate tree heights, particularly when the distance to the tree was less than its height. This situation is fairly common in a forest inventory, since the forest often masks the vision of individual trees, so crews can only measure from very near the trees.

    Data Access

    Confidentiality
    Is signing of a confidentiality declaration required? Confidentiality declaration text
    yes The users shall not take any action with the purpose of identifying any individual entity (i.e. person, household, enterprise, etc.) in the micro dataset(s). If such a disclosure is made inadvertently, no use will be made of the information, and it will be reported immediately to FAO.
    Access conditions

    Micro datasets disseminated by FAO shall only be allowed for research and statistical purposes. Any user which requests access working for a commercial company will not be granted access to any micro dataset regardless of their specified purpose. Users requesting access to any datasets must agree to the following minimal conditions:

    • The micro dataset will only be used for statistical and/or research purposes;
    • Any results derived from the micro dataset will be used solely for reporting aggregated information, and not for any specific individual entities or data subjects;
    • The users shall not take any action with the purpose of identifying any individual entity (i.e. person, household, enterprise, etc.) in the micro dataset(s). If such a disclosure is made inadvertently, no use will be made of the information, and it will be reported immediately to FAO;
    • The micro dataset cannot be re-disseminated by users or shared with anyone other than the individuals that are granted access to the micro dataset by FAO.
    Citation requirements

    (c) UGANDA NFI 2016. Dataset downloaded from https://microdata.fao.org.
    Or
    NFI Report: UGANDA NATIONAL FOREST INVENTORY (NFI), THE NATIONAL FORESTRY AUTHORITY
    MINISTRY OF WATER AND ENVIRONMENT 2019. Dataset downloaded from https://microdata.fao.org.

    Disclaimer and copyrights

    Disclaimer

    The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.

    Contacts

    Contacts
    Name Affiliation Email
    Senyonjo Edward NFA [email protected]
    John Diisi NFA [email protected]

    Metadata production

    DDI Document ID

    DDI_UGA_2016-2019_NBS_v01_EN_M_v01_A_OCS_FAO

    Producers
    Name Affiliation Role
    Office of Chief Statistician Food and Agriculture Organization Metadata adapted for FAM
    Antonello Salis Food and Agriculture Organization Metadata producer
    Date of Metadata Production

    2019-10-31

    Metadata version

    DDI Document version

    UGA_2016-2019_NBS_v01_EN_M_v01_A_OCS_v01

    Back to Catalog
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