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Nigeria - National forest (carbon) inventory










FAO. 2020. Nigeria - National forest (carbon) inventory. Abuja.




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    Book (stand-alone)
    Nigeria - National forest (carbon) inventory field manual 2020
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    This manual was prepared within the framework of a technical assistance (TA) agreement entitled “Forest Resources Inventory and Establishment of a forest reference level for REDD+ in Nigeria (UTF /NIR/066/NIR (644170)”, to support the implementation of national forest inventory (NFI) in Nigeria. An NFI is a key component of a measurement, reporting and verification (MRV) system which is a requirement of the United Nations Framework Convention on Climate Change (UNFCCC) for the national forest monitoring system to assess anthropogenic forest-related greenhouse gas emissions by sources and removals by sinks. The results of the NFI will be used to support national institutions to address issues of REDD+ and greenhouse gas (GHG) international reporting obligations. It can be also used to review the policy processes to support sustainable forest management at national level.
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    Book (stand-alone)
    NAFORMA: National Forest Resources Monitoring and Assessment of Tanzania Mainland
    Sampling Design Options for 2nd Biophysical Inventory (NAFORMA II)
    2022
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    Three options for the sampling design of the field plot clusters of NAFORMA II biophysical survey are compared in this report. Option 1 consists of re-measuring all NAFORMA I field sample plots (3 205 clusters) and Option 2 of re-measuring only those that were established as permanent (848 clusters). The recommended Option 3 is a compromise between these two “extreme” options: Re-measure a subset (1 405 clusters) of NAFORMA I field sample plots including (almost) all permanent clusters and a carefully selected set of other NAFORMA I field plot clusters to obtain a uniform sample within each TFS zone. Design Option 3 has the following features: • Sampling intensity is uniform within each TFS zone. This makes it simple to use the data. For example, mean volumes can be estimated by averages over the plots. • The selected clusters are well-spread over the target population. • The anticipated precision of land-class area and mean wood volume relative to sample size is nearly as good as that of NAFORMA I. • All proposed clusters were measured in NAFORMA I, which enables precise estimation of change based on repeated measurements. The costs and precision were anticipated by utilizing NAFORMA I field data, information about subsequent improvements in the road network, and changes in land-use using satellite imaging derived land-class maps.
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    Article
    Knowledge and perception of and attitude to forest conservation practices in Southwestern Nigeria
    XV World Forestry Congress, 2-6 May 2022
    2022
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    Despite widespread acknowledgment of the importance of forests to sustainable development, tackling deforestation remains a herculean task. Local participation has been suggested to guarantee success in the conservation of forests and associated biodiversity. However, awareness and knowledge level of residents of forest- dependent communities on the subject is essential to their meaningful participation in forestry development in Nigeria. This chapter reports the knowledge of, attitude to and perception on forest conservation among residents of Olorunsogo LGA, Oyo State, Nigeria. Multistage stratified randomly sampling technique was used to collect primary data from 211 residents through the use of structured questionnaire. Data collected were analysed using descriptive and inferential (Chi square and Logit analysis) test statistics at α0.05. Awareness of residents about the impact of forests on the environment was high and their perception of forest conservation was guided by their knowledge of it. The latter was however low. Also, planting of trees among respondents is not dependent on their demographic background but their involvement in conservation practices is a function of their gender, educational background and marital status. Respondents’ interest in conservation will improve, if their knowledge base on the subject is built. Keywords: Forest communities, Perception of conservation, Attitude to forests ID: 3486851

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