scholarly journals Carbon stock in Adaba-Dodola community forest of Danaba District, West-Arsi zone of Oromia Region, Ethiopia: An implication for climate change mitigation

2015 ◽  
Vol 7 (1) ◽  
pp. 14-22 ◽  
Author(s):  
Nega Bazezew Muluken ◽  
Soromessa Teshome ◽  
Bayable Eyale
Keyword(s):  
Climate Change ◽  
Carbon Stock ◽  
Climate Change Mitigation ◽  
Community Forest ◽  
Arsi Zone ◽  
Change Mitigation

Carbon stock of Banja forest in Banja district, Amhara region, Ethiopia: An implication for climate change mitigation

2017 ◽  
Vol 36 (6) ◽  
pp. 604-622 ◽  
Author(s):  
Fentahun Abere ◽  
Yehualashet Belete ◽  
Alemayehu Kefalew ◽  
Teshome Soromessa
Keyword(s):  
Climate Change ◽  
Carbon Stock ◽  
Climate Change Mitigation ◽  
Amhara Region ◽  
Change Mitigation

scholarly journals PERAN TEGAKAN SENGON DI HUTAN TANAMAN INDUSTRI DALAM MITIGASI PERUBAHAN IKLIM GLOBAL (The Role of Sengon’s Stand at Forest Plantation in Global Climate Change Mitigation)

HUTAN TROPIKA ◽  
2020 ◽  
Vol 14 (2) ◽  
pp. 71-79
Author(s):  
Admin JHT
Keyword(s):  
Climate Change ◽  
Global Climate Change ◽  
Carbon Stock ◽  
Climate Change Mitigation ◽  
Global Climate ◽  
Co2 Uptake ◽  
Biomass Carbon ◽  
Forest Plantation ◽  
Carbon Dioxide Uptake ◽  
Change Mitigation

ABSTRACTThis research aims to estimate the biomass, carbon storage, carbon dioxide uptake andoxygen produced by sengon (Paraserianthes falcataria (L.) Nielsen) stand aged 9, 11and 13 years in IUPHHK-HTI PT Parwata Rimba, Central Kalimantan. Estimated ofbiomass, carbon stock, CO2 uptake and Oxygen produced using allometric equations.The results showed that the storage of sengon standing biomass aged 9,11 and 13 yearsranged from 110.71 to 200.94 tons/ha, carbon stock ranged from 52.03 to 94.44 tons C/ha, CO2 uptake ranged from 190.79 to 259.13 tons CO2/ha and Oxygen produced around138.75 to 251.84 tons O2/ha. The total of biomass, carbon stock, CO2 uptake and Oxygenproduced by sengon stands at forest plantations are large enough to have an importantrole in global climate change mitigation in the forestry sector.Keywords: biomassa, climate change, forest plantation, karbon, sengon

scholarly journals Restoration of degraded lands for carbon stock enhancement and climate change mitigation: the case of Rebu watershed, Woliso Woreda, Southwest Shoa, Ethiopia

2022 ◽  
Vol 9 (2) ◽  
pp. 3387-3396
Author(s):  
Diriba Megersa Soboka ◽  
Fantaw Yimer
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Carbon Stock ◽  
Climate Change Mitigation ◽  
Carbon Stocks ◽  
Land Use Type ◽  
Degraded Lands ◽  
Change Mitigation

This study was conducted to estimate carbon stock enhancement and climate change mitigation potential of restoration effort in Rebu Watershed, Woliso Woreda, Ethiopia. Two restored lands of thirteen years old were randomly selected from two kebeles. Biomass and soil data were collected systematically from nested plots. Mensuration of woody species, soil, and grass/litter samples was collected from the subplots of the nested plots. A total of 72 composite soil samples were collected. The results showed the positive impact of restoration activity on enhancing biomass and soil organic carbon stocks. The restored land ecosystem had shown higher carbon stock of (138.51 ± 27.34 t/ha) than the adjacent unrestored land ecosystem (101.43 ± 21.25 t/ha), which confirmed the potential of restoration in enhancing the carbon stock and mitigating climate change. Hence, the restored land use type has been stored about 8.37 t/ha of carbon dioxide equivalent (CO2e) in biomasses. The restored land use type has mitigated climate change (absorb CO2) by 7.7 times than the adjacent unrestored land use type in this study. The significant values in restored land use types were due to the enhanced vegetation and land cover, which contributed to the biomass and soil organic carbon accumulation. Moreover, the lower values in unrestored land use type were due to the continuous degradation and disturbance from livestock and human beings. Therefore, the result of this study showed that protecting the degraded lands from any disturbance could enhance the carbon stocks of the ecosystem and mitigate the carbon emission rate.

scholarly journals The Utility of Sentinel-2 Spectral Data in Quantifying Above-Ground Carbon Stock in an Urban Reforested Landscape

2021 ◽  
Vol 13 (21) ◽  
pp. 4281
Author(s):  
Mthembeni Mngadi ◽  
John Odindi ◽  
Onisimo Mutanga
Keyword(s):  
Climate Change ◽  
Ecosystem Services ◽  
Spectral Data ◽  
Carbon Stock ◽  
Climate Change Mitigation ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Urban Landscapes ◽  
Change Mitigation ◽  
Sentinel 2

The transformation of the natural landscape into an impervious surface due to urbanization has often been considered an important driver of environmental change, affecting essential urban ecological processes and ecosystem services. Continuous forest degradation and deforestation due to urbanization have led to an increase in atmospheric carbon emissions, risks, and impacts associated with climate change within urban landscapes and beyond them. Hence, urban reforestation has become a reliable long-term alternative for carbon sink and climate change mitigation. However, there is an urgent need for spatially accurate and concise quantification of these forest carbon stocks in order to understand and effectively monitor the accumulation and progress on such ecosystem services. Hence, this study sought to examine the prospect of Sentinel-2 spectral data in quantifying carbon stock in a reforested urban landscape using the random forest ensemble. Results show that Sentinel-2 spectral data estimated reforested forest carbon stock to an RMSE between 0.378 and 0.466 t·ha−1 and R2 of 79.82 and 77.96% using calibration and validation datasets. Based on random forest variable selection and backward elimination approaches, the red-edge normalized difference vegetation index, enhanced vegetation index, modified simple ratio index, and normalized difference vegetation index were the best subset of predictor variables of carbon stock. These findings demonstrate the value and prospects of Sentinel-2 spectral data for predicting carbon stock in reforested urban landscapes. This information is critical for adopting informed management policies and plans for optimizing urban reforested landscapes carbon sequestration capacity and improving their climate change mitigation potential.

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