Estimation of forest Carbon Stocks in Ba Be National Park, Bac Kan province, Vietnam

Nguyen Thi Dong, Van Huu Tap, Nguyen Thi Phương Mai, Nguyen Thi Hoang Lien

Abstract


Climate change and an increase in the greenhouse effect are a matter of global concern. One of reasons for this phenomenon is the increase in greenhouse gases, especially CO2. Therefore, the authors investigated CO2 absorption from forests of 45 plots in Ba Be National Park, characterized by 3 forest states as rich, medium and poor forest, rehabilitated forest after exploitation to estimate carbon sequestration of the forest. In which, the carbon stock of rich forest reaches 273.17 tones/ha, the medium forest is 136.23 tones/ha and the poor forest, rehabilitated forest is 42.06 tones/ha. With a forest growth rate of 1.8% per year, the carbon sequestration in Ba Be National Park for 3 forest states is about 16,499 tones per year. This will contribute to improve environmental quality, reducing greenhouse gas emissions and creating a scientific basis for managers to develop a payment mechanism of forest carbon sequestration services.


Keywords


Forest carbon; carbon sequestration; natural forest; Ba Be National Park

Full Text:

PDF

References


Abeydeera, L. H. U. W., Mesthrige, J. W. and Samarasinghalage, T. I. (2019). Global research on carbon emissions: A scientometric review. Sustainability (Switzerland), 11(14), 1–25. doi: https://doi.org/10.3390/su11143972

Ba Be National Park Management Board (2013) Sustainable forest conservation and development planning of Ba Be National Park, Bac Kan province, Viet Nam, period 2012 - 2020. Bac Kan.

Brown, S. (1997). Estimating biomass and biomass change of tropical forests: a Primer. in FAO Forestry paper. FAO Forestry paper, p. 134.

Chaturvedi, R. K., Singh, J. S. and Raghubanshi, A. S. (2012). Biomass Estimation of Dry Tropical Woody Species at Juvenile Stage. The Scientific World Journal, p. 5. doi: http://dx.doi.org/10.1100/2012/790219

Chaturvedi, R.K., Raghubanshi, A. S. (2015). Allometric models for accurate estimation of aboveground biomass of teak in tropical dry forests of India. Forest Science, 5(28), 938–949.doi: https://doi.org/10.5849/forsci.14-190

Chaturvedi, R. K., Raghubanshi, A. S. and Singh, J. S. (2010). Non-destructive estimation of tree biomass by using wood specific gravity in the estimator. National Academy Science Letters, 33(5–6), 133–138.

Chaturvedi, R. K., Singh, J. S. and Raghubanshi, A. S. (2011). Carbon density and accumulation in woody species of tropical dry forest in India. Forest Ecology and Management, 262(8), 1576–1588. doi: http://dx.doi.org/10.1016/j.foreco.2011.07.006 .

Chaturvedi R.K and Raghubanshi, A. S. (2013). Aboveground biomass estimation of small diameter woody species of tropical dry forest. Search worldwide, life-sciences literature, 44(4), 105–109. doi: https://doi.org/10.1007/s11056-012-9359-z

Chave, J., Andalo, C., Brown, S., Cairns, M. A., Chambers, J. Q., Eamus, D., ... & Lescure, J. P. (2005). Tree allometry and improved estimation of carbon stocks and balance in tropical forests. Oecologia, 145(1), 87-99. doi: https://doi.org/10.1007/s00442-005-0100-x

Dixon, R. K., Solomon, A. M., Brown, S., Houghton, R. A., Trexier, M. C., & Wisniewski, J. (1994). Carbon pools and flux of global forest ecosystems. Science, 263(5144), 185-190. doi: https://doi.org/10.1126/science.263.5144.185

Ekoungoulou, R. Liu, X., Ifo, S. A., Loumeto, J. J., & Folega, F. (2014). Carbon stock estimation in secondary forest and gallery forest of Congo using allometric equations. International Journal of Scientific and Technology Research, 3(3), 465-474

Environmental Analysis Unit: Defra. (2016). DEFRA’s Payment for Ecosystem Services Pilot Projects 2012-2015’, (December), p. 20.

Eroglu S., Toprak S., Urgan O, MD, Ozge E. Onur, MD, Arzu Denizbasi, MD, Haldun Akoglu, MD, Cigdem Ozpolat, MD, Ebru Akoglu, M. (2012) ‘No Title No Title’, Saudi Med J, 33, 3–8. doi: https://doi.org/10.1073/pnas.0703993104

Gibbs, H. K., Brown, S., Niles, J. O., & Foley, J. A. (2007). Monitoring and estimating tropical forest carbon stocks: making REDD a reality. Environmental Research Letters, 2(4), 045023. doi: https://doi.org/10.1088/1748-9326/2/4/045023

Green, E. P., Mumby, P. J., Edwards, A. J., Clark, C. D., & Ellis, A. C. (1997). Estimating leaf area index of mangroves from satellite data. Aquatic botany, 58(1), 11-19. doi: https://doi.org/10.1016/S0304-3770(97)00013-2

Gunawardena, A. . (2014) Land use, land cover types in Sri Lanka using remote sensing as non-destructive sampling technique. of Agriculture, University of Peradeniya, Peradeniya, Sri Lanka.

Huy, B. and Tuan, P. (2008). Estimating CO2 sequestration in natural broad-leaved evergreen forests in Viet Nam.’, UN Redd programme, Viet Nam, 32, 7 – 10.

IPCC. (2006). IPCC Guidelines for National Greenhouse Gas Inventories. Volume 4: Agriculture, Forestry and Other Land Use. JaPan.

Karsenty, A., Blanco, C. and Dufour, T. (2002). Instruments related to the united nations framework convention on climate change and their potential for sustainable forest management in Africa. Paris.

Keeling, C. and Whort, T. (2002). Atmospheric CO2 records from sites in the SIO air sampling network.

Lüthi, D., Le Floch, M., Bereiter, B., Blunier, T., Barnola, J. M., Siegenthaler, U., ... & Stocker, T. F. (2008). High-resolution carbon dioxide concentration record 650,000–800,000 years before present. Nature, 453(7193), 379-382.doi: https://doi.org/10.1038/nature06949

NOAA. (2008). Annual Greenhouse Gas Index 2008- New data show unrelenting rise in carbon dioxide and other greenhouse gases.

NOAA. (2019). Carbon dioxide levels in atmosphere hit record high in May, 2019.

Omasa, K., Qiu, G. Y., Watanuki, K., Yoshimi, K., & Akiyama, Y. (2003). Accurate estimation of forest carbon stocks by 3-D remote sensing of individual trees. Environmental Science & Technology, 37(6), 1198-1201. doi: https://doi.org/10.1021/es0259887

Phuong, V. T. (2012). Forests and Allometric Equation Development for Biomass Estimation in Vietnam, (June).

Prasad, O. P., Hussin, Y. A., Weir, M. J., & Karna, Y. K. (2016). Derivation of forest inventory parameters for carbon estimation using terrestrial LiDAR, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 41(i), 677–684. doi: https://doi.org/10.5194/isprsarchives-XLI-B8-677-2016

Syafinie Abdul Majid and Ainuddin, N. A. (2015). Aboveground biomass and carbon stock estimation in logged-over lowland tropical forest in Malaysia. International Journal of Agricultural, Forestry & Plantation., 1, 1–14.

UN- REDD VietNam. (2012) Guidelines on Destructive Measurement for Forest Biomass Estimation.

UN-REDD Programe Viet Nam (2012) Part B-2 Tree allometric equations in Evergreen broadleaf and Bamboo forests in the North East region, Viet Nam. Ha Nôi.

UNFCCC. (2007). Fact sheet: Climate change science.

Vu, T. D., Takeuchi, W. and Van, N. A. (2014). Carbon Stock Calculating and Forest Change Assessment Toward REDD+ Activities for The Mangrove Forest in Vietnam. Transactions of the Japan Society for Aeronautical and Space Sciences, Aerospace Technology Japan, 12(29), 23–31. doi: https://doi.org/10.2322/tastj.12.pn_23

Walker, S. M., Murray, L. and Tepe, T. (2015). Allometric Equation Evaluation Guidance Document’, (June), p. 75.

Wilson, N. (2010). Biomass and regeneration of mangrove vegetation in Kien Giang Province, Vietnam.

Yen, V. T., Nguyen, H. K. L., Nguyen, B. N., & Le, Q. T. (2016). Study on biomass and carbon stock of woody floor at several forests in Bach Ma national park, Thua Thien Hue province. Journal of Vietnamese Environment, 8(2), 291–297. doi: https://doi.org/10.13141/jve.vol8.no2.pp88-94




DOI: http://dx.doi.org/10.24259/fs.v4i1.7848

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Forest and Society is licensed under a Creative Commons Attribution 4.0 International License

View My Stats

Forest and Society has been indexed/registered/mentioned in : 

                 

View full indexing services