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Allometric Equations For Ethiopian Acacia Species
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Abstract
Background: Allometric equations are used to estimate biomass and carbon stock of forest. In Ethiopia, despite the presence of large flora diversity, only a few site-specific allometric equations are developed so far. This study was conducted in the Omo-Gibe woodland of south-western Ethiopia to develop an allometric equation to estimate the Above-ground Biomass (AGB) of the four Acacia species (Acacia polyacantha, Acacia seyal, Acacia etbaica and Acacia tortilis). Fifty-four (54) acacia trees were sampled and measured within 35 temporarily established square plots. In each plot, dendrometric variables were measured to derive the models based on combinations of Diameter Breast Height (DBH), height, and wood density as predictor variables. Model performance was evaluated using goodness-of-fit statistics. The biomass was compared using four allometric biomass models that have been widely used in the tropics.Result: The model containing DBH alone was more accurate to estimate AGB compared to the use of multiple predictor variables. This study, therefore, substantiated the importance of site-specific allometric equations in estimating AGB of Acacia woodlands. This is because a site-specific allometric equation recognizes the environmental factors, vegetation types and management practices. Conclusion: The results of this study contribute to a better understanding of allometric equations and an accurate estimate of AGB of Acacia woodlands in Ethiopia and similar ecosystems elsewhere.
Springer Science and Business Media LLC
Title: Allometric Equations For Ethiopian Acacia Species
Description:
Abstract
Background: Allometric equations are used to estimate biomass and carbon stock of forest.
In Ethiopia, despite the presence of large flora diversity, only a few site-specific allometric equations are developed so far.
This study was conducted in the Omo-Gibe woodland of south-western Ethiopia to develop an allometric equation to estimate the Above-ground Biomass (AGB) of the four Acacia species (Acacia polyacantha, Acacia seyal, Acacia etbaica and Acacia tortilis).
Fifty-four (54) acacia trees were sampled and measured within 35 temporarily established square plots.
In each plot, dendrometric variables were measured to derive the models based on combinations of Diameter Breast Height (DBH), height, and wood density as predictor variables.
Model performance was evaluated using goodness-of-fit statistics.
The biomass was compared using four allometric biomass models that have been widely used in the tropics.
Result: The model containing DBH alone was more accurate to estimate AGB compared to the use of multiple predictor variables.
This study, therefore, substantiated the importance of site-specific allometric equations in estimating AGB of Acacia woodlands.
This is because a site-specific allometric equation recognizes the environmental factors, vegetation types and management practices.
Conclusion: The results of this study contribute to a better understanding of allometric equations and an accurate estimate of AGB of Acacia woodlands in Ethiopia and similar ecosystems elsewhere.
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