Development of wood fuel consumption predictive model in Tanzania

Simple item page
dc.contributor.authorLusambo, L.P
dc.contributor.authorMbeyale, G.E
dc.date.accessioned2023-03-29T09:58:32Z
dc.date.available2023-03-29T09:58:32Z
dc.date.issued2021
dc.descriptionJournal Articleen_US
dc.description.abstractThis study aimed to develop a wood fuel predictive model that could be used to give information which can be used to manage woodfuel supply with a view foster forest resources stewardship. The paper has briefly defined predictive modelling concepts, highlighted the significance of predictive modelling and described the salient steps involved in constructing predictive models. The paper has explicitly described how the predictive model was developed and validated. In light of the validation results, the paper also highlights the adjustment that has been made to the model to make it more plausible. It is concluded that in the current Tanzanian situation where there is no any model that can be used to predict and/or estimate wood fuel consumption, the developed wood fuel consumption predictive model can be useful in sustainable forest management strategies. Prior to its use, however, the constructed model needs to be further validated and adjusted accordingly using newly collected longitudinal data from the study area. Sufficient data should be collected from the strata (locations) commensurate with those used in the present study.en_US
dc.identifier.urihttp://www.suaire.sua.ac.tz/handle/123456789/5132
dc.language.isoenen_US
dc.publisherTanzania Journal of Forestry and Nature Conservationen_US
dc.subjectWood fuelen_US
dc.subjectconsumptionen_US
dc.subjectpredictive modelen_US
dc.subjectTanzaniaen_US
dc.subjectMiombo woodlandsen_US
dc.titleDevelopment of wood fuel consumption predictive model in Tanzaniaen_US
dc.typeArticleen_US

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
210929-Article Text-522770-1-10-20210720.pdf
Size:
799.32 KB
Format:
Adobe Portable Document Format
Description:
Article
Download

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.67 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Articles, Conference and Workshop Papers Collection