Allometric models for estimating tree volume and aboveground biomass in lowland forests of Tanzania

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dc.contributor.authorMugasha, Wilson Ancelm
dc.contributor.authorMwakalukwa, Ezekiel Edward
dc.contributor.authorLuoga, Emannuel
dc.contributor.authorMalimbwi, Rogers Ernest
dc.contributor.authorZahabu, Eliakimu
dc.contributor.authorSilayo, Dos Santos
dc.contributor.authorSola, Gael
dc.contributor.authorCrete, Philippe
dc.contributor.authorHenry, Matieu
dc.contributor.authorKashindye, Almas
dc.date.accessioned2017-01-19T15:30:27Z
dc.date.available2017-01-19T15:30:27Z
dc.date.issued2016
dc.descriptionHindawi Publishing Corporation International Journal of Forestry Research Volume 2016, Article ID 8076271, 13 pages http://dx.doi.org/10.1155/2016/8076271en_US
dc.description.abstractModels to assist management of lowland forests in Tanzania are in most cases lacking. Using a sample of 60 trees which were destructively harvested from both dry and wet lowland forests of Dindili in Morogoro Region (30 trees) and Rondo in Lindi Region (30 trees), respectively, this study developed site specific and general models for estimating total tree volume and aboveground biomass. Specifically the study developed (i) height-diameter (ht-dbh) models for trees found in the two sites, (ii) total, merchantable, and branches volume models, and (iii) total and sectional aboveground biomass models of trees found in the two study sites. The findings show that site specific ht-dbh model appears to be suitable in estimating tree height since the tree allometry was found to differ significantly between studied forests. The developed general volume models yielded unbiased mean prediction error and hence can adequately be applied to estimate tree volume in dry and wet lowland forests in Tanzania. General aboveground biomass model appears to yield biased estimates; hence, it is not suitable when accurate results are required. In this case, site specific biomass allometric models are recommended. Biomass allometric models which include basic wood density are highly recommended for improved estimates accuracy when such information is available.en_US
dc.identifier.urihttps://www.suaire.sua.ac.tz/handle/123456789/1177
dc.language.isoenen_US
dc.publisherInternational Journal of Forestry Researchen_US
dc.subjectEstimating Tree Volumeen_US
dc.subjectAllometric Modelsen_US
dc.subjectAboveground Biomassen_US
dc.subjectLowland Forestsen_US
dc.subjectTanzaniaen_US
dc.titleAllometric models for estimating tree volume and aboveground biomass in lowland forests of Tanzaniaen_US
dc.typeArticleen_US
dc.urlhttp://dx.doi.org/10.1155/2016/8076271en_US

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