American Journal of Environmental Protection

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Carbon Stock Analysis Along Altitudinal Gradient in Gedo Forest: Implications for Forest Management and Climate Change Mitigation

Received: 22 July 2015    Accepted: 06 August 2015    Published: 11 September 2015
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Abstract

Forests provide important ecological and environmental benefits. They serve as natural sinker of atmospheric CO2 to mitigate climate change. In Ethiopia although, there is significant forest resource, the studies on carbon stock potential and factors that affect this potential have not been well studied. This study was done with the aim of estimating carbon stock potential and related factors that affect carbon sequestration in Gedo forest. Data was collected from 10m x 20m plot along transect in systematically stratified forest part. The forest had total mean carbon stock of 523.64 ± 29 ton ha-1 with aboveground biomass (281 ± 23.34 t C ha-1)and belowground biomass 56.1 ± 4.66 t C ha-1), litter biomass (0.41 ± 0.008 t C ha-1), deadwood biomass (2.37 ± 1.33 t C ha-1) and soil organic carbon (183.69 ± 6.17 t C ha-1). Spatial distribution of the carbon stock varied along environmental gradient. Altitude has inverse relation with aboveground biomass, belowground biomass, deadwood carbon and total carbon density. Altitude also has significant effect on all carbon pool except litter biomass and soil organic carbon. More aboveground biomass, belowground biomass and total carbon were found in the middle altitude and lower carbon was found in the upper altitude. Soil organic carbon and litter biomass carbon decreases with altitude. Deadwood biomass carbon pool was found only in lower altitude. Based on overall result it is concluded carbon sequestration in a forest ecosystem is determined by altitudinal gradient.

DOI 10.11648/j.ajep.20150405.14
Published in American Journal of Environmental Protection (Volume 4, Issue 5, October 2015)
Page(s) 237-244
Creative Commons

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.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Altitudinal Gradient, Biomass Carbon, Climate Change, Gedo Forest, Soil Organic Carbon

References
[1] IPCC. (2007). Synthesis Report. 52 p. Fourth Assessment Report. Both of these IPCC publications synthesize information from all Working Groups: WG I--The Physical Science Basis; WG II -- Impacts, Adaptation, and Vulnerability; WG III-- Mitigation of Climate Change. Download from: http://www.ipcc.ch/pdf/assessment-report/ar4/syr/ar4_syr.pdf.
[2] Samalca, K. I., Gier, D. L. and Ali, H. (2009). Estimation of tropical forest biomass for assessment of carbon sequestration using regression models and remote sensing. Berua, East Calimantan: Indonesia.
[3] McMahon, S. M., Parker, G. G. and Miller, D. R. (2010). Evidence for a recent increase in forest growth. Proceedings of the National Academy of Sciences.J. Science107: 3611–3615.
[4] Ravindranath, N. H., Chaturvedi, R. K. and Murthy, I. K. (2008). Forest conservation, Afforestation and reforestation in India: Implications for forest carbon stocks. Curr. Sci., 95 (2): 216–222.
[5] Federal Democratic Republic of Ethiopia. (1998). National Action Programme to Combat Desertification.Vol. I: The State of Natural Resources in Arid, Semi-Arid and Dry Sub-HumidAreas. EPA 1998 report, Addis Ababa, Ethiopia, Pp. 28- 35.
[6] Yitebitu Moges, Zewdu Eshetu and Sisay Nune. (2010). A review on Ethiopian Forest Resources: current status and future management options in view of access to carbon finances. Prepared for the Ethiopian climate research and networking and the United Nations development programme (UNDP). Addis Ababa, Ethiopia.
[7] Bonan, G. (2008). Forests and climate change: Forcing, feedbacks, and the climate benefits of forests. J. Science320: 1444-1449.
[8] Birhanu Kebede, Teshome Soromessa and Ensermu Kelbessa. 2014. Structure and Regeneration Status of Gedo Dry Evergreen Montane Forest, West Shewa Zone of Oromia National Regional State, Central Ethiopia. Sci. Technol. Arts Res. J., April-June 2014, 3(2): 119-131.
[9] Endalew Amenu. (2007). Use and management of medicinal plants by indigenous people of Ejaji area (CheliyaWoreda) West Shoa, Ethiopia: an ethno botanical approach. Unpublished M.Sc. Thesis, Addis Ababa University, Addis Ababa.
[10] Young, J. (2012). Ethiopian Protected Areas a ‘Snapshot. A reference guide for future strategic planning and project funding: Ethiopia.
[11] Bhishma, P. S., Shiva, S. P., Ajay, P., Eak, B. R., Sanjeeb, B., Tibendra, R. B., Shambhu, C., and Rijan, T. (2010). Forest Carbon Stock Measurement: Guidelines for measuring carbon stocks incommunity-managed forests. Funded by Norwegian Agency for Development Cooperation (NORAD).Asia Network for Sustainable Agriculture and Bioresources (ANSAB) publishing, Kathmandu, Nepal, pp.17-43.
[12] Pearson, T. R., Walker, S. and Brown, S. 2005. Sourcebook for land-use, land-use change and forestry projects. Winrock International and the Bio-carbon fund of the World Bank. Arlington, USA, pp. 19-35.
[13] MacDicken, K. G. (1997). A Guide to Monitoring Carbon Storage in Forestry and Agro-forestry Projects. In Forest Carbon Monitoring Program. Winrock International Institute for Agricultural Development, Arlington, Virginia.
[14] Hairiah, K., Sitompul, S. M., Noordwijk, M. and Palm, C. (2001). Methods for sampling carbon stocks above and below ground. International Centre for Research in Agroforestry. Southeast AsianRegional Research Programme, Bogor, Indonesia, pp. 10-15.
[15] IPCC. (2006). Good practice guidelines for National Greenhouse gas inventories. Switzerland: Intergovernmental panel on climate change. Unpublished document.
[16] Brown, S. 1997. Estimating biomass and biomass change of tropical forests: A primer Rome, Italy, Food and Agriculture Organization of the United Nations (FAO).
[17] Gibbs, H, K. and Brown, S. (2007).Geographical distribution of woody biomass carbon stocks in tropical Africa: an updated database for 2000.
[18] IPCC. (2010). Global Forest Resources Assessment 2010 Main report. FAO. Forestry Paper. 163. Food and Agriculture Organization of the United Nations: Rome.
[19] Brown, S. and Lugo, A. (1982). The storage and production of organic matter in tropical forests and their role in the global carbon cycle. Biotropica14: 161-187.
[20] Mohanraj, R., Saravanan, J., Dhanakumar, S. (2011). Carbon stock in Kolli forests, Eastern Ghats (India) with emphasis on aboveground biomass, litter, woody debris and soils. J. Forest. 4: 61-65.
[21] Chang, C., Wang, C., Chou, C., Duh C. (2010). The Importance of Litter Biomass in Estimating Soil Organic Carbon Pools in Natural Forests of Taiwan. Taiwan Journal of Science. 25(2): 171-80.
[22] De Castilho, C. V., Magnusson, W. E., de Araújo, R. N. O., Luizão, R. C. C., Luizão, F. J., Albertina, P., Higuchi, N., 2006. Variation in aboveground tree live biomass in a central Amazonian Forest: effects of soil and topography. J. Forest Ecology Management. 234: 85–96.
[23] Salinas, N. Malhi1, Y. Meir, P. Silman, M. Roman Cuesta, R. Huaman, J. Salinas, D. Huaman, V. Gibaja, A. Mamani, M. and Farfan, F. (2010). The sensitivity of tropical leaf litter decomposition to temperature: results from a large-scale leaf translocation experiment along anelevation gradient in Peruvian forests. New Phytologist. 10 (1111): 1469-8137 [Available at www.newphytologist.com].
[24] Gorte, R. W. (2009). Carbon Sequestration in Forests. Congressional Research Service. CRS Report for Congress, (Eggleston, H. S, Buendia, L. and Miwa, K. eds). Prepared for Members and Committees of Congress. Greenhouse Gas Inventories Programme. CRS Publishing, USA, Pp. 1-23.
[25] Adugna Feyissa, Teshome Soromessa, Mekuria Argaw. (2013). Forest Carbon Stocks and Variations along Altitudinal Gradients in Egdu Forest: Implications of Managing Forests for Climate Change Mitigation. J. STAR 2(4): 40-46.
[26] Getu Shiferaw. (2012). Carbon stocks in different pools in natural and plantation forests of Chilimo, central highland of Ethiopia. Unpublished M.Sc thesis, Addis Ababa University. Addis Ababa.
[27] Mesfin Sahile. (2011). Estimating and Mapping of Carbon Stocks based on Remote Sensing, GIS and Ground Survey in the MenageshaSuba State Forest.M.Sc. Thesis, Addis Ababa University, Addis Ababa.
[28] Muluken Nega Bazezew, Teshome Soromessa, Eyale Bayable. Above- and Below-Ground Reserved Carbon in Danaba Community Forest of Oromia Region, Ethiopia: Implications for CO2Emission Balance. American Journal of Environmental Protection. Vol. 4, No.2, 2015, pp. 75-82. doi: 10.11648/j.ajep.20150402.11.
[29] Sharma, C. M., Suyal, S., Gairolia, S., Ghildiyal, S. K., 2009. Species richness and diversity along an altitudinal gradient in moist temperate forest of GarhwalHimalaya. J.American science. 5(5). 119-128.
[30] Moser, G., Hertel, D. and Leuschner, C. (2007). Altitudinal change in LAI and stand leaf biomass in tropical montane forests: a transect study in Ecuador and a pan-tropical meta analysis. J. Ecosystems.10: 924–935.
[31] Sheikh, M. A., Kumar, S. and Kumar, M. (2012). Above and below ground organic carbon stocks in a sub-tropical Pinusroxburghii Sargent forest of the Garhwal Himalayas, Beijing Forestry University and Springer-Verlag Berlin Heidelberg.
[32] Zhu, B., Wang, X., Fang, J., Piao, S., Shen, H., Zhao, S., and Peng, C. (2010). Altitudinal Changes in Carbon Storage of Temperate Forests on Mt. Changbai, Northeast China, J. Plant Resource. 123(4): 439-450.
[33] Gairola, S., Sharma, C. M., Ghildiyal, S. K. and Suyal, S. (2011). Live tree biomass and carbon variation along an altitudinal gradient in moist temperate valley slopes of the Garhwal Himalaya (India). J. Current science. 100(12): 1862-1870.
[34] Tibebu Yelemfrhat Simegn, Teshome Soromessa. Carbon Stock Variations Along Altitudinal and Slope Gradient in the Forest Belt of Simen Mountains National Park, Ethiopia. American Journal of Environmental Protection. Vol. 4, No. 4, 2015, pp. 199-201. doi: 10.11648/j.ajep.20150404.15.
[35] Mwakisunga, B. and Majule, A. E. (2012). The influence of altitude and management on carbon stock quantities in rungwe forest, southern highland of Tanzania. Open Journal of Ecology. 2(4): 214- 221.
[36] Tsui, C., Chena, Z. and Hsieh, C. (2004). Relationships between soil properties and slope position in a lowland rain forest of southern Taiwan. J. Geoderma. 123: 131–142. [Available online at www.Science direct.com].
[37] Griffiths, R. P. Madritch, M. D. Swanson, A. K. (2009). The effects of topography on forest soil characteristics in the Oregon Cascade Mountains (USA): Implications for the effects of climate change on soil properties. J. Forest Ecology and Management. 257: 1–7.
[38] Sheikh, M. A., Kumar, M. and Bussmann, R. W. (2009). Altitudinal variation in soil organic carbon stock in coniferous subtropical and broadleaf temperate forests in Garhwal Himalaya. J. Carbon Balance and Management, Biomed central 4(6): 1-6.
Author Information
  • Department of Natural Resource Management, College of Agriculture and Natural Resource Science, Debre Berhan University, Debre Berhan, Ethiopia

  • Center for Environmental Science, College of Natural Science, Addis Ababa University, Addis Ababa, Ethiopia

  • Center for Environmental Science, College of Natural Science, Addis Ababa University, Addis Ababa, Ethiopia

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  • APA Style

    Hamere Yohannes, Teshome Soromessa, Mekuria Argaw. (2015). Carbon Stock Analysis Along Altitudinal Gradient in Gedo Forest: Implications for Forest Management and Climate Change Mitigation. American Journal of Environmental Protection, 4(5), 237-244. https://doi.org/10.11648/j.ajep.20150405.14

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    Hamere Yohannes; Teshome Soromessa; Mekuria Argaw. Carbon Stock Analysis Along Altitudinal Gradient in Gedo Forest: Implications for Forest Management and Climate Change Mitigation. Am. J. Environ. Prot. 2015, 4(5), 237-244. doi: 10.11648/j.ajep.20150405.14

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    AMA Style

    Hamere Yohannes, Teshome Soromessa, Mekuria Argaw. Carbon Stock Analysis Along Altitudinal Gradient in Gedo Forest: Implications for Forest Management and Climate Change Mitigation. Am J Environ Prot. 2015;4(5):237-244. doi: 10.11648/j.ajep.20150405.14

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  • @article{10.11648/j.ajep.20150405.14,
      author = {Hamere Yohannes and Teshome Soromessa and Mekuria Argaw},
      title = {Carbon Stock Analysis Along Altitudinal Gradient in Gedo Forest: Implications for Forest Management and Climate Change Mitigation},
      journal = {American Journal of Environmental Protection},
      volume = {4},
      number = {5},
      pages = {237-244},
      doi = {10.11648/j.ajep.20150405.14},
      url = {https://doi.org/10.11648/j.ajep.20150405.14},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ajep.20150405.14},
      abstract = {Forests provide important ecological and environmental benefits. They serve as natural sinker of atmospheric CO2 to mitigate climate change. In Ethiopia although, there is significant forest resource, the studies on carbon stock potential and factors that affect this potential have not been well studied. This study was done with the aim of estimating carbon stock potential and related factors that affect carbon sequestration in Gedo forest. Data was collected from 10m x 20m plot along transect in systematically stratified forest part. The forest had total mean carbon stock of 523.64 ± 29 ton ha-1 with aboveground biomass (281 ± 23.34 t C ha-1)and belowground biomass 56.1 ± 4.66 t C ha-1), litter biomass (0.41 ± 0.008 t C ha-1), deadwood biomass (2.37 ± 1.33 t C ha-1) and soil organic carbon (183.69 ± 6.17 t C ha-1). Spatial distribution of the carbon stock varied along environmental gradient. Altitude has inverse relation with aboveground biomass, belowground biomass, deadwood carbon and total carbon density. Altitude also has significant effect on all carbon pool except litter biomass and soil organic carbon. More aboveground biomass, belowground biomass and total carbon were found in the middle altitude and lower carbon was found in the upper altitude. Soil organic carbon and litter biomass carbon decreases with altitude. Deadwood biomass carbon pool was found only in lower altitude. Based on overall result it is concluded carbon sequestration in a forest ecosystem is determined by altitudinal gradient.},
     year = {2015}
    }
    

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  • TY  - JOUR
    T1  - Carbon Stock Analysis Along Altitudinal Gradient in Gedo Forest: Implications for Forest Management and Climate Change Mitigation
    AU  - Hamere Yohannes
    AU  - Teshome Soromessa
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    T2  - American Journal of Environmental Protection
    JF  - American Journal of Environmental Protection
    JO  - American Journal of Environmental Protection
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    EP  - 244
    PB  - Science Publishing Group
    SN  - 2328-5699
    UR  - https://doi.org/10.11648/j.ajep.20150405.14
    AB  - Forests provide important ecological and environmental benefits. They serve as natural sinker of atmospheric CO2 to mitigate climate change. In Ethiopia although, there is significant forest resource, the studies on carbon stock potential and factors that affect this potential have not been well studied. This study was done with the aim of estimating carbon stock potential and related factors that affect carbon sequestration in Gedo forest. Data was collected from 10m x 20m plot along transect in systematically stratified forest part. The forest had total mean carbon stock of 523.64 ± 29 ton ha-1 with aboveground biomass (281 ± 23.34 t C ha-1)and belowground biomass 56.1 ± 4.66 t C ha-1), litter biomass (0.41 ± 0.008 t C ha-1), deadwood biomass (2.37 ± 1.33 t C ha-1) and soil organic carbon (183.69 ± 6.17 t C ha-1). Spatial distribution of the carbon stock varied along environmental gradient. Altitude has inverse relation with aboveground biomass, belowground biomass, deadwood carbon and total carbon density. Altitude also has significant effect on all carbon pool except litter biomass and soil organic carbon. More aboveground biomass, belowground biomass and total carbon were found in the middle altitude and lower carbon was found in the upper altitude. Soil organic carbon and litter biomass carbon decreases with altitude. Deadwood biomass carbon pool was found only in lower altitude. Based on overall result it is concluded carbon sequestration in a forest ecosystem is determined by altitudinal gradient.
    VL  - 4
    IS  - 5
    ER  - 

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