Mixed-species allometric equations and estimation of aboveground biomass and carbon stocks in restoring degraded landscape in northern Ethiopia

Accurate biomass estimation is critical to quantify the changes in biomass and carbon stocks following the restoration of degraded landscapes. However, there is lack of site-specific allometric equations for the estimation of aboveground biomass (AGB), which consequently limits our understanding of...

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Main Authors: Mokria, M., Mekuria, Wolde, Gebrekirstos, Aster, Aynekulu, Ermias, Belay, B., Gashaw, Tsehay, Brauning, A.
Format: Journal Article
Language:Inglés
Published: IOP Publishing 2018
Subjects:
Online Access:https://hdl.handle.net/10568/99332
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author Mokria, M.
Mekuria, Wolde
Gebrekirstos, Aster
Aynekulu, Ermias
Belay, B.
Gashaw, Tsehay
Brauning, A.
author_browse Aynekulu, Ermias
Belay, B.
Brauning, A.
Gashaw, Tsehay
Gebrekirstos, Aster
Mekuria, Wolde
Mokria, M.
author_facet Mokria, M.
Mekuria, Wolde
Gebrekirstos, Aster
Aynekulu, Ermias
Belay, B.
Gashaw, Tsehay
Brauning, A.
author_sort Mokria, M.
collection Repository of Agricultural Research Outputs (CGSpace)
description Accurate biomass estimation is critical to quantify the changes in biomass and carbon stocks following the restoration of degraded landscapes. However, there is lack of site-specific allometric equations for the estimation of aboveground biomass (AGB), which consequently limits our understanding of the contributions of restoration efforts in mitigating climate change. This study was conducted in northwestern Ethiopia to develop a multi-species allometric equation and investigate the spatial and temporal variation of C-stocks following the restoration of degraded landscapes. We harvested and weighed 84 trees from eleven dominant species from six grazing exclosures and adjacent communal grazing land. We observed that AGB correlates significantly with diameter at stump height D 30 (R 2 = 0.78; P < 0.01), and tree height H (R 2 = 0.41, P < 0.05). Our best model, which includes D 30 and H as predictors explained 82% of the variations in AGB. This model produced the lowest bias with narrow ranges of errors across different diameter classes. Estimated C-stock showed a significant positive correlation with stem density (R 2 = 0.80, P < 0.01) and basal area (R 2 = 0.84, P < 0.01). At the watershed level, the mean C-stock was 3.8 (±0.5) Mg C ha−1. Plot-level C-stocks varied between 0.1 and 13.7 Mg C ha−1. Estimated C-stocks in three- and seven-year-old exclosures exceeded estimated C-stock in the communal grazing land by 50%. The species that contribute most to C-stocks were Leucaena sp. (28%), Calpurnia aurea (21%), Euclea racemosa (20.9%), and Dodonaea angustifolia (15.8%). The equations developed in this study allow monitoring changes in C-stocks and C-sequestration following the implementation of restoration practices in northern Ethiopia over space and time. The estimated C-stocks can be used as a reference against which future changes in C-stocks can be compared.
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spelling CGSpace993322025-07-23T18:05:32Z Mixed-species allometric equations and estimation of aboveground biomass and carbon stocks in restoring degraded landscape in northern Ethiopia Mokria, M. Mekuria, Wolde Gebrekirstos, Aster Aynekulu, Ermias Belay, B. Gashaw, Tsehay Brauning, A. climate biomass Accurate biomass estimation is critical to quantify the changes in biomass and carbon stocks following the restoration of degraded landscapes. However, there is lack of site-specific allometric equations for the estimation of aboveground biomass (AGB), which consequently limits our understanding of the contributions of restoration efforts in mitigating climate change. This study was conducted in northwestern Ethiopia to develop a multi-species allometric equation and investigate the spatial and temporal variation of C-stocks following the restoration of degraded landscapes. We harvested and weighed 84 trees from eleven dominant species from six grazing exclosures and adjacent communal grazing land. We observed that AGB correlates significantly with diameter at stump height D 30 (R 2 = 0.78; P < 0.01), and tree height H (R 2 = 0.41, P < 0.05). Our best model, which includes D 30 and H as predictors explained 82% of the variations in AGB. This model produced the lowest bias with narrow ranges of errors across different diameter classes. Estimated C-stock showed a significant positive correlation with stem density (R 2 = 0.80, P < 0.01) and basal area (R 2 = 0.84, P < 0.01). At the watershed level, the mean C-stock was 3.8 (±0.5) Mg C ha−1. Plot-level C-stocks varied between 0.1 and 13.7 Mg C ha−1. Estimated C-stocks in three- and seven-year-old exclosures exceeded estimated C-stock in the communal grazing land by 50%. The species that contribute most to C-stocks were Leucaena sp. (28%), Calpurnia aurea (21%), Euclea racemosa (20.9%), and Dodonaea angustifolia (15.8%). The equations developed in this study allow monitoring changes in C-stocks and C-sequestration following the implementation of restoration practices in northern Ethiopia over space and time. The estimated C-stocks can be used as a reference against which future changes in C-stocks can be compared. 2018-02-01 2019-02-08T03:46:47Z 2019-02-08T03:46:47Z Journal Article https://hdl.handle.net/10568/99332 en Open Access IOP Publishing Mokria, M.; Mekuria, W.; Gebrekirstos, A.; Aynekulu, E.; Belay, B.; Gashaw. T.; Brauning, A. 2018. Mixed-species allometric equations and estimation of aboveground biomass and carbon stocks in restoring degraded landscape in northern Ethiopia. Environmental Research Letters Vol 13, No. 2.
spellingShingle climate
biomass
Mokria, M.
Mekuria, Wolde
Gebrekirstos, Aster
Aynekulu, Ermias
Belay, B.
Gashaw, Tsehay
Brauning, A.
Mixed-species allometric equations and estimation of aboveground biomass and carbon stocks in restoring degraded landscape in northern Ethiopia
title Mixed-species allometric equations and estimation of aboveground biomass and carbon stocks in restoring degraded landscape in northern Ethiopia
title_full Mixed-species allometric equations and estimation of aboveground biomass and carbon stocks in restoring degraded landscape in northern Ethiopia
title_fullStr Mixed-species allometric equations and estimation of aboveground biomass and carbon stocks in restoring degraded landscape in northern Ethiopia
title_full_unstemmed Mixed-species allometric equations and estimation of aboveground biomass and carbon stocks in restoring degraded landscape in northern Ethiopia
title_short Mixed-species allometric equations and estimation of aboveground biomass and carbon stocks in restoring degraded landscape in northern Ethiopia
title_sort mixed species allometric equations and estimation of aboveground biomass and carbon stocks in restoring degraded landscape in northern ethiopia
topic climate
biomass
url https://hdl.handle.net/10568/99332
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