This study was conducted in Sekelemariam Dry Evergreen Montane Forest which is situated within 37° 27' and 37° 30' east, and 10° 34' and 10° 36' north, near Dembecha Town in west Gojam Zone, North Western Ethiopia. It is characterized by steeply sloped areas with huge Rocky Mountains extended throughout the middle parts of the forest. The aim of this study was to estimate the soil carbon stock potential of the forest. A systematic transect sampling technique was adopted in this study and following these transects plots of 1mx1m (1m2) data was taken from the field. The carbon stock density of soil organic carbon was calculated from the volume and bulk density of the soil as V = h× r2. The data analysis was conducted using Microsoft excel sheet used as platform in carbon calculations, and SPSS software version 20 to determine the impact of altitude gradient and slope factors on soil carbon stock potential and to compare the relationship between dependent and independent variables. The carbon stock of the SOC showed increasing trend with increasing elevation. In contrast to the elevation, the forest soil carbon stock decreases as increasing slope gradient. Soil laboratory analysis was conducted in Holeta Agricultural Research center to determine the soil organic carbon density and was estimated to be101.56 ± 3.66 t C ha-1. All in all, this study gives estimation of the soil carbon stock in Sekelemariam State Forest.
Published in | International Journal of Sustainable and Green Energy (Volume 10, Issue 1) |
DOI | 10.11648/j.ijrse.20211001.11 |
Page(s) | 1-6 |
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This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Copyright © The Author(s), 2021. Published by Science Publishing Group |
Soil Carbon Stock, Soil Organic Carbon, Slope Gradient, Altitudinal Gradient
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APA Style
Yitayal Tebeje Workie. (2021). Assessment of Soil Carbon Stock Status of Sekelemariam Dry Evergreen Montane Forest Along Altitudinal Gradient: Implication for Climate Change Mitigation. International Journal of Sustainable and Green Energy, 10(1), 1-6. https://doi.org/10.11648/j.ijrse.20211001.11
ACS Style
Yitayal Tebeje Workie. Assessment of Soil Carbon Stock Status of Sekelemariam Dry Evergreen Montane Forest Along Altitudinal Gradient: Implication for Climate Change Mitigation. Int. J. Sustain. Green Energy 2021, 10(1), 1-6. doi: 10.11648/j.ijrse.20211001.11
AMA Style
Yitayal Tebeje Workie. Assessment of Soil Carbon Stock Status of Sekelemariam Dry Evergreen Montane Forest Along Altitudinal Gradient: Implication for Climate Change Mitigation. Int J Sustain Green Energy. 2021;10(1):1-6. doi: 10.11648/j.ijrse.20211001.11
@article{10.11648/j.ijrse.20211001.11, author = {Yitayal Tebeje Workie}, title = {Assessment of Soil Carbon Stock Status of Sekelemariam Dry Evergreen Montane Forest Along Altitudinal Gradient: Implication for Climate Change Mitigation}, journal = {International Journal of Sustainable and Green Energy}, volume = {10}, number = {1}, pages = {1-6}, doi = {10.11648/j.ijrse.20211001.11}, url = {https://doi.org/10.11648/j.ijrse.20211001.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijrse.20211001.11}, abstract = {This study was conducted in Sekelemariam Dry Evergreen Montane Forest which is situated within 37° 27' and 37° 30' east, and 10° 34' and 10° 36' north, near Dembecha Town in west Gojam Zone, North Western Ethiopia. It is characterized by steeply sloped areas with huge Rocky Mountains extended throughout the middle parts of the forest. The aim of this study was to estimate the soil carbon stock potential of the forest. A systematic transect sampling technique was adopted in this study and following these transects plots of 1mx1m (1m2) data was taken from the field. The carbon stock density of soil organic carbon was calculated from the volume and bulk density of the soil as V = h× r2. The data analysis was conducted using Microsoft excel sheet used as platform in carbon calculations, and SPSS software version 20 to determine the impact of altitude gradient and slope factors on soil carbon stock potential and to compare the relationship between dependent and independent variables. The carbon stock of the SOC showed increasing trend with increasing elevation. In contrast to the elevation, the forest soil carbon stock decreases as increasing slope gradient. Soil laboratory analysis was conducted in Holeta Agricultural Research center to determine the soil organic carbon density and was estimated to be101.56 ± 3.66 t C ha-1. All in all, this study gives estimation of the soil carbon stock in Sekelemariam State Forest.}, year = {2021} }
TY - JOUR T1 - Assessment of Soil Carbon Stock Status of Sekelemariam Dry Evergreen Montane Forest Along Altitudinal Gradient: Implication for Climate Change Mitigation AU - Yitayal Tebeje Workie Y1 - 2021/01/22 PY - 2021 N1 - https://doi.org/10.11648/j.ijrse.20211001.11 DO - 10.11648/j.ijrse.20211001.11 T2 - International Journal of Sustainable and Green Energy JF - International Journal of Sustainable and Green Energy JO - International Journal of Sustainable and Green Energy SP - 1 EP - 6 PB - Science Publishing Group SN - 2575-1549 UR - https://doi.org/10.11648/j.ijrse.20211001.11 AB - This study was conducted in Sekelemariam Dry Evergreen Montane Forest which is situated within 37° 27' and 37° 30' east, and 10° 34' and 10° 36' north, near Dembecha Town in west Gojam Zone, North Western Ethiopia. It is characterized by steeply sloped areas with huge Rocky Mountains extended throughout the middle parts of the forest. The aim of this study was to estimate the soil carbon stock potential of the forest. A systematic transect sampling technique was adopted in this study and following these transects plots of 1mx1m (1m2) data was taken from the field. The carbon stock density of soil organic carbon was calculated from the volume and bulk density of the soil as V = h× r2. The data analysis was conducted using Microsoft excel sheet used as platform in carbon calculations, and SPSS software version 20 to determine the impact of altitude gradient and slope factors on soil carbon stock potential and to compare the relationship between dependent and independent variables. The carbon stock of the SOC showed increasing trend with increasing elevation. In contrast to the elevation, the forest soil carbon stock decreases as increasing slope gradient. Soil laboratory analysis was conducted in Holeta Agricultural Research center to determine the soil organic carbon density and was estimated to be101.56 ± 3.66 t C ha-1. All in all, this study gives estimation of the soil carbon stock in Sekelemariam State Forest. VL - 10 IS - 1 ER -