Abstract
ABSTRACT Introduction: Quantifying forest biomass requires the application of allometric equations which is a fundamental step. Generalized allometric equations have been applied to quantify aboveground biomass (AGB) of forests. But, adopting generalized allometric equations to quantify AGB of different forests creates uncertainty. Therefore, developing species- and site-specific allometric equations is essential to accurately quantify the biomass. The study was aimed to develop species-specific allometric equations for Diospyros abyssinica (Hiern) F. White in Yayu Coffee Forest Biosphere Reserve using the Semi-destructive method. The vegetation types of Yayu Coffee Forest Biosphere Reserve is categorized to Moist Evergreen Montane Rainforest of Ethiopia. Results and discussion: Evaluating statistical relationships of AGB against predictor variables, eight allometric equations were formulated. AGB was regressed against trunk diameter (D), total height (H), and wood density (ρ) individually and in combination. Selection of allometric equations was employed using model performance statistics. Equations with a higher coefficient of determination (adjusted R 2), lower residual standard error, and Akaike information criterion (AIC) values were found best-fitted. Relationships of AGB and independent variables were found statistically significant (p < 0.000). Overall, formulating species- and site-specific allometric equations is significant for accurate estimation of forest biomass and carbon stock budget.
Highlights
Quantifying forest biomass requires the application of allometric equations which is a fundamental step
Overall, formulating species- and site-specific allometric equations is significant for accurate estimation of forest biomass and carbon stock budget
All the selected models have achieved the model performance statistics with a higher value of coefficient of determination (R2-adj), lower value of residual standard error (RSE), and Akaike information criterion (AIC)
Summary
Quantifying forest biomass requires the application of allometric equations which is a fundamental step. Generalized allometric equations have been applied to quantify aboveground biomass (AGB) of forests. Adopting generalized allometric equations to quantify AGB of different forests creates uncertainty. White in Yayu Coffee Forest Biosphere Reserve using the Semi-destructive method. The vegetation types of Yayu Coffee Forest Biosphere Reserve is categorized to Moist Evergreen Montane Rainforest of Ethiopia. Tropical forests are known by storing the largest amount of terrestrial carbon. Devising methods for quantifying forest biomass is a vital step for carbon assessments. Formulating allometric equations has wide range of applications in bioenergy, local and national forest assessments, and carbon stock mapping for successful implementation of climate change mitigation policies (Chave et al 2014; Henry et al 2013)
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