Height-Diameter Allometry for Tree Species in Tanzania Mainland

Total tree height (H) and diameter at beast height (D) are important independent variables in predicting volume, biomass, and other forest stand attributes. However, unlike D measurement, which is easy to measure with high accuracy, H measurement is laborious. This study, therefore, developed H-D re...

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Bibliographic Details
Published in:International journal of forestry research 2019, Vol.2019 (2019), p.1-17
Main Authors: Malimbwi, Rogers Ernest, Karlsson, K., Njana, A. M., Mauya, E. W., Mugasha, Wilson Ancelm, Ernest, S.
Format: Article
Language:English
Subjects:
Allometry
Biomass
Climate change
Climate models
Competition
Cultivated lands
Ecology
Estimation
Eucalyptus
Forest biomass
Forests
Grasslands
Independent variables
Mangroves
Plantations
Precipitation
Studies
Trees
Variables
Woodlands
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Summary:Total tree height (H) and diameter at beast height (D) are important independent variables in predicting volume, biomass, and other forest stand attributes. However, unlike D measurement, which is easy to measure with high accuracy, H measurement is laborious. This study, therefore, developed H-D relationships for ten different forest types in Tanzania Mainland. Extents in which climate and forest stand variables explain the variation in H-D allometry were also assessed. A total of 31782 sample trees covering miombo woodlands, humid montane, lowland forests, bushlands, grasslands, mangroves, cultivated land, wetlands forests, and pines and Eucalyptus species plantations were used for model development. The H estimating model without climate and forest stand variables referred herein as “base model” was first developed followed by “generalized model” which included climate and stand variables. All the data were fitted using nonlinear mixed effect modelling approach. Results indicated that generalized H estimating models had better fit than the base models. We therefore confirm a significant contribution of climate and forest structure variables in improving H-D allometry. Among the forest structure variables, basal area (BA) was far more important explanatory variable than other variables. In addition, it was found that the mean tree H tends to increase with the increase of mean precipitation (PRA). We therefore conclude that forest specific generalized H model is to be applied when predicting H. When forest type information is not available, generalized regional model may be applied. Base model may be applied when forest stand or climate information are missing.
ISSN:1687-9368
1687-9376
DOI:10.1155/2019/4832849