Allometric Models for Estimating Tree Volume and Aboveground Biomass in Lowland Forests of Tanzania
Joint Authors
Zahabu, Eliakimu
Malimbwi, Rogers Ernest
Mugasha, Wilson Ancelm
Luoga, Emannuel
Sola, Gael
Crete, Philippe
Kashindye, Almas
Silayo, Dos Santos A.
Henry, Matieu
Mwakalukwa, Ezekiel Edward
Source
International Journal of Forestry Research
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-01-14
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Models 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.
American Psychological Association (APA)
Mugasha, Wilson Ancelm& Mwakalukwa, Ezekiel Edward& Luoga, Emannuel& Malimbwi, Rogers Ernest& Zahabu, Eliakimu& Silayo, Dos Santos A.…[et al.]. 2016. Allometric Models for Estimating Tree Volume and Aboveground Biomass in Lowland Forests of Tanzania. International Journal of Forestry Research،Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1106115
Modern Language Association (MLA)
Mugasha, Wilson Ancelm…[et al.]. Allometric Models for Estimating Tree Volume and Aboveground Biomass in Lowland Forests of Tanzania. International Journal of Forestry Research No. 2016 (2016), pp.1-13.
https://search.emarefa.net/detail/BIM-1106115
American Medical Association (AMA)
Mugasha, Wilson Ancelm& Mwakalukwa, Ezekiel Edward& Luoga, Emannuel& Malimbwi, Rogers Ernest& Zahabu, Eliakimu& Silayo, Dos Santos A.…[et al.]. Allometric Models for Estimating Tree Volume and Aboveground Biomass in Lowland Forests of Tanzania. International Journal of Forestry Research. 2016. Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1106115
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1106115