Allometric equations for aboveground biomass estimation of Diospyros abyssinica (Hiern) F. White tree species

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 fore...

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Autores principales: Damena Edae Daba, Teshome Soromessa
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Publicado: Taylor & Francis Group 2019
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Acceso en línea:https://doaj.org/article/e9246dcb650a4b9b979dd6a14ff4b5b4
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spelling oai:doaj.org-article:e9246dcb650a4b9b979dd6a14ff4b5b42021-12-02T16:43:50ZAllometric equations for aboveground biomass estimation of Diospyros abyssinica (Hiern) F. White tree species2332-887810.1080/20964129.2019.1591169https://doaj.org/article/e9246dcb650a4b9b979dd6a14ff4b5b42019-01-01T00:00:00Zhttp://dx.doi.org/10.1080/20964129.2019.1591169https://doaj.org/toc/2332-8878Introduction: 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 R2), 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.Damena Edae DabaTeshome SoromessaTaylor & Francis Grouparticleaboveground biomassdiospyros abyssinicaallometric equationgeneralized allometric modelsmoist evergreen montane rainforestEcologyQH540-549.5ENEcosystem Health and Sustainability, Vol 5, Iss 1, Pp 86-97 (2019)
institution DOAJ
collection DOAJ
language EN
topic aboveground biomass
diospyros abyssinica
allometric equation
generalized allometric models
moist evergreen montane rainforest
Ecology
QH540-549.5
spellingShingle aboveground biomass
diospyros abyssinica
allometric equation
generalized allometric models
moist evergreen montane rainforest
Ecology
QH540-549.5
Damena Edae Daba
Teshome Soromessa
Allometric equations for aboveground biomass estimation of Diospyros abyssinica (Hiern) F. White tree species
description 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 R2), 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.
format article
author Damena Edae Daba
Teshome Soromessa
author_facet Damena Edae Daba
Teshome Soromessa
author_sort Damena Edae Daba
title Allometric equations for aboveground biomass estimation of Diospyros abyssinica (Hiern) F. White tree species
title_short Allometric equations for aboveground biomass estimation of Diospyros abyssinica (Hiern) F. White tree species
title_full Allometric equations for aboveground biomass estimation of Diospyros abyssinica (Hiern) F. White tree species
title_fullStr Allometric equations for aboveground biomass estimation of Diospyros abyssinica (Hiern) F. White tree species
title_full_unstemmed Allometric equations for aboveground biomass estimation of Diospyros abyssinica (Hiern) F. White tree species
title_sort allometric equations for aboveground biomass estimation of diospyros abyssinica (hiern) f. white tree species
publisher Taylor & Francis Group
publishDate 2019
url https://doaj.org/article/e9246dcb650a4b9b979dd6a14ff4b5b4
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