NAFORMA: National forest resources monitoring and assessment of Tanzania Mainland

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dc.contributor.authorRajala, Tuomas
dc.contributor.authorHeikkinen, Juha
dc.contributor.authorGogo, Sophia
dc.contributor.authorAhimbisibwe, Joyce
dc.contributor.authorBakanga, Geofrey
dc.contributor.authorChamuya, Nurdin
dc.contributor.authorPerez, Javier Garcia
dc.contributor.authorKilawe, Edward
dc.contributor.authorKiluvia, Shani
dc.contributor.authorMorales, David
dc.contributor.authorNzunda, Emmanuel
dc.contributor.authorOtieno, Jared
dc.contributor.authorSawaya, Jonathan
dc.contributor.authorVesa, Lauri
dc.contributor.authorZahabu, Eliakimu
dc.contributor.authorHenry, Matieu
dc.date.accessioned2022-09-14T07:10:42Z
dc.date.available2022-09-14T07:10:42Z
dc.date.issued2022
dc.descriptionTechnical Reporten_US
dc.description.abstracthree 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.en_US
dc.identifier.isbn978-92-5-136435-2
dc.identifier.urihttp://www.suaire.sua.ac.tz/handle/123456789/4564
dc.language.isoenen_US
dc.publisherFAOen_US
dc.subjectNAFORMAen_US
dc.subjectBiophysical surveyen_US
dc.subjectNational forest resources monitoringen_US
dc.subjectTanzania Mainlanden_US
dc.titleNAFORMA: National forest resources monitoring and assessment of Tanzania Mainlanden_US
dc.typeTechnical Reporten_US
dc.urlhttps://doi.org/10.4060/cc0572enen_US

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