Scientific Journal Of King Faisal University: Basic and Applied Sciences

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Scientific Journal of King Faisal University: Basic and Applied Science

Comparison of Carbon Storage Measurement Methods on Agroforestry Systems in Sakon Nakhon Province, Northeast Thailand

(Yannawut Uttaruk and Teerawong Laosuwan)

Abstract

The current global climate has changed dramatically. One of the main causes is human activities that contribute to the emission of large amounts of carbon dioxide (CO2) from reserve areas into the atmosphere, causing global warming. The objective of this research is the comparison of measurement methods of carbon storage on agroforestry systems in Sakon Nakhon Province, northeast Thailand. The research methodologies comprised 1) the transfer of knowledge to farmers who participated in the project and 2) monitoring carbon sequestration with satellite imagery. The overall results concluded that farmers obtained knowledge and understanding of the causes of global warming as well as adjusted toward the changes in the weather and atmosphere. More than 80% of farmers were able to perform measurements themselves, recording the Diameter at Breast Height (DBH) and total height of the trees. The results of biomass measurement were attained by monitoring carbon sequestration in the agroforestry areas and equalled 38,649.48 tonnes of carbon dioxide equivalent (tCO2e). The carbon sequestration assessment with satellite imagery was able to assess carbon collection, which was equivalent to 36,343.08 tCO2e.  

KEYWORDS
Carbon sequestration, agroforestry systems, remote sensing, satellite imagery

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References

Bradford, J.B. and Bell D.M. (2017). A window of opportunity for climate-change adaptation: easing tree mortality by reducing forest basal area. Frontiers in Ecology and the Environment, 15(1), 11–7.
Bravo, F., Río, M., Bravo-Oviedo, A., Ruiz-Peinado, R., Del Peso, C. and Montero, G. (2017). Forest carbon sequestration: the impact of forest management. In:  F. Bravo, V. LeMay and R. Jandl (eds.) Managing Forest Ecosystems: The Challenge of Climate Change (pp. 251–75). Berlin: Springer. 
Camacho, F., Cernicharo, J., Lacaze, R., Baret, F. and Weiss, M. (2013). GEOV1: LAI, FAPAR essential climate variables and FCOVER global time series capitalizing over existing products. Part 2: Validation and intercomparison with reference products. Remote Sensing of Environment, 137(n/a), 310–29.
Englin, J. and Callaway, J.M. (1995). Environmental impacts of sequestering carbon through forestation. Climate Change, 31(1), 67–78.
He, X. J.  (2017). Information on impacts of climate change and adaptation in China. Journal of Environmental Informatics, 29(2), 110–21.
Jundang, W., Puangchit, L. and Diloksumpun, S. (2010). Carbon storage of dry dipterocarp forest and eucalypt plantation at Mancha Khiri plantation, Khon Kaen Province. Thai Journal of Forestry, 29(3), 36–44.
Jia, K., Liang, S., Gu, X., Baret, F., Wei, X.,Wang, X., Yao, Y., Yang, L. and Li, Y. (2016). Fractional vegetation cover estimation algorithm for Chinese GF-1 wide field view data. Remote Sensing of Environment, 177(n/a), 184–91.
Lal, R. (2004). Soil carbon sequestration impact on global climate change and food security. Science, 304(5677), 1623–7.
Laosuwan, T. and Uttaruk, P. (2014). Estimating tree biomass via remote sensing, MSAVI 2 and fractional cover model. IETE Technical Review, 31(5), 362–8.
Laosuwan, T. and Uttaruk, Y. (2016). Estimating above ground carbon capture using remote sensing technology in small scale agroforestry area. Agriculture and Forestry, 62(2), 253–62.
Lee, K.H., Li, Z., Kim, Y.J. and Kokhanovsky, A. (2009). Atmospheric Aerosol Monitoring from Satellite Observations: A History of Three Decades. In: Kim Y.J., Platt U., Gu M.B., Iwahashi H. (eds) Atmospheric and Biological Environmental Monitoring. Springer,  Dordrecht. DOI: 10.1007/978-1-4020-9674-7_2
Liaghat, S. and Balasundram, S.K. (2010). A review: The role of remote sensing in precision agriculture. American Journal of Agricultural and Biological Sciences, 5(1), 50–5.
Liebig, M.A., Tanaka, D.L. and Gross, J.R.  (2010). Fallow effects on soil carbon and greenhouse gas flux in Central North Dakota. Soil Science Society of America Journal, 74(2), 358–65.
Nabuurs, G.J., Masera, O., Andrasko, K., Benítez-Ponce, P., Boer, R., Dutschke, M., Elsiddig, E., Ford-Robertson, J., Frumhoff, P., Karjalainen, T., Krankina, O., Kurz, W.A., Matsumoto, M., Oyhantcabal, W., Ravindranath, N.H., Sanz Sanchez, M.J. and Zhang X. (2007). Forestry. In: Climate Change 2007: Mitigation. Working Group III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. UK: Cambridge University Press.
Ogawa, H., Yoda, K., Ogino, K. and Kira, T.  (1965). Comparative ecological studies on three main type of forest vegetation in Thailand II. Plant Biomass, Nature and Life in Southeast Asia, 4(n/a), 49–80. 
Oregon Global Warming Commission. Forest Carbon Accounting Project. (2018). Report to the Oregon Legislature. Available at: https://static1.squarespace.com/static/59c554e0f09ca40655ea6eb0/t/5b2d2b981ae6cfd5a348f97b/1529686942071/Forest+Carbon+Project+-+Discussion+Draft+June+2018.pdf (accessed on 12/09/2018).
Ounkerd, K., Sunthornhao, P. and Puangchit, L. (2015). Valuation of carbon stock in trees at Khao Wong Community Forest, Chaiyaphum Province. Thai Journal of Forestry, 34(1), 29–38.
Pin, K.F., Pereira, J.J. and Aziz, S. (2013). Platforms of climate change: An evolutionary perspective and lessons for Malaysia. Sains Malaysiana, 42(8), 1027–40.
Robinson, C., Saatchi, S., Neumann, M. and Gillespie, T. (2013). Impacts of spatial variability on aboveground biomass estimation from L-band Radar in a temperate forest. Remote Sensing, 5(3), 1001–23.
Qi, J., Chehbouni, A., Huete, A.R. and Kerr Y.H. (1994). Modified soil adjusted vegetation index (MSAVI). Remote Sensing of Environment, 48(2), 119–26. 
Senpaseuth, P., Navanugraha, C. and Pattanakiat, S. (2009). The estimation of carbon storage in dry evergreen and dry dipterocarp forests in Sang Khom District, Nong Khai Province, Thailand. Environment and Natural Resources Journal, 7(2), 1–11.
Spracklen, B.D., Kalamandeen, M., Galbraith, D., Gloor, E. and Spracklen, D.V. (2015). A global analysis of deforestation in moist tropical forest protected areas. PLoS ONE, 10(12), e0143886.
Tukimat, A.S. and Ahmad, K. (2018). Evaluation of climate variability performances using statistical climate models. Sains Malaysiana, 47(1), 77–84.
Uttaruk, Y., Rotjanakusol, T. and Laosuwan, T. (2017). Above ground carbon biomass assessment using satellite remote sensing reflection values. Research and Knowledge, 4(1), 41–6.
Uttaruk, Y. and Laosuwan, T. (2018). Community forest for global warming mitigation; the technique for estimation of biomass and above ground carbon storage using remote sensing technology method. Agriculture and Forestry, 64(3), 47–57.
Vagen, T.G. and Winowiecki, L.A. (2013). Mapping of soil organic carbon stocks for spatially explicit assessments of climate change mitigation potential. Environmental Research Letters, 8(1), 1–9.
Vicharnakorn, P., Shrestha, R.P., Nagai, M., Salam, A.P. and Kiratiprayoon, S. (2014). Carbon stock assessment using remote sensing and forest inventory data in Savannakhet, Lao PDR. Remote Sensing, 6(6), 5452–79. 
Xu, B., Guo, Z., Piao, S. and Fang, J. (2010). Biomass carbon stocks in China’s forests between 2000 and 2050: A prediction based on forest biomass-age relationships. Science China. Life sciences, 53(7), 776–83.
Yale University. (2019). How to Convert Landsat DNs to Top of Atmosphere (Toa) Reflectance. Available at: https://yceo.yale.edu/how-convert-landsat-dns-top-atmosphere-toa-reflectance. (Accessed on: 22/07/2020). 
Zhang, X., Zhang, X., Han, H., Shi, Z. and Yang, X. (2019). Biomass accumulation and carbon sequestration in an age-sequence of Mongolian pine plantations in Horqin Sandy Land, China. Forests, 10(2), 197. https://doi.org/10.3390/f10020197.