Examination of Bamboo Measurement Method for Biomass Estimation in the Paung Laung Reserve Forest, Myanmar

Fumiaki Kitahara, Tamotsu Sato, Billy Ne Win, Gen Takao, Tun Tun Win, Kyaw Win Maung

Abstract


The objective of this study was to investigate a method of measuring bamboo diameter at breast height (DBH) for biomass estimation using Monte Carlo sampling. The data for this study were collected in Paung Laung Reserve Forest, Myanmar. The research developed two different methods for determining required sampling numbers based on changes in the coefficient of variation (CV) with the sampling ratio and sampling size using 37 plots of bamboo. These sampling numbers were derived from the sampling ratio with a CV less than 10 % and the stability of the CV. The error ratios of the two results between measured and estimated bamboo biomass were 6.0 % and 6.9 %. It will be necessary to assess the balance between the estimation accuracy and survey time for carbon stock estimation of bamboo, which is indispensable for an accurate forest carbon accounting in Myanmar.

Keywords


Bamboo biomass; Laborsaving; Monte Carlo sampling; REDD+

Full Text:

PDF

References


BIF. (2015). Myanmar bamboo sector competitiveness study. Myanmar. Retrieved from pdf

Chan, N., Takeda, S., Suzuki, R., & Yamamoto, S. (2013). Establishment of allometric models and estimation of biomass recovery of swidden cultivation fallows in mixed deciduous forests of the Bago Mountains, Myanmar. Forest Ecology and Management, 304, 427–436. crossref

Chan, N., Takeda, S., Suzuki, R., & Yamamoto, S. (2016). Assessment of biomass recovery and soil carbon storage of fallow forests after swidden cultivation in the Bago Mountains, Myanmar. New Forests, 47(4), 565–585. crossref

FAO. (2005). Global forest resources assessment 2005. Progress towards sustainable forest management. Chapter 2: Extent of forest resources. FAO Forestry Paper 147. Rome, Italy: Food and Agriculture Organization of the United Nations. Retrieved from website

GOFC-GOLD. (2014). A sourcebook of methods and procedures for monitoring and reporting anthropogenic greenhouse gas emissions and removals associated with deforestation, gains and losses of carbon stocks in forests remaining forests, and forestation. GOFC-GOLD Report version COP20-1, (GOFC-GOLD Land Cover Project Office, Wageningen University, The Netherlands). Retrieved from website

Grove, R. H. (1994). A historical review of early institutional and conservationist responses to fears of artificially induced global climate change: The deforestation-desiccation discourse 1500-1860. Chemosphere, 29(5), 1001–1013. crossref

Inoue, A., Kitahara, F., Suga, H., & Wajima, T. (2011). Deriving a reduction factor for woody part of culm for bamboo Phyllostachys pubescens. Landscape and Ecological Engineering, 7(1), 153–157. crossref

Jepsen, M. R. (2006). Above-ground carbon stocks in tropical fallows, Sarawak, Malaysia. Forest Ecology and Management, 225(1–3), 287–295. crossref

Kenzo, T., Ichie, T., Hattori, D., Itioka, T., Handa, C., Ohkubo, T., … Ninomiya, I. (2009). Development of allometric relationships for accurate estimation of above- and below-ground biomass in tropical secondary forests in Sarawak, Malaysia. Journal of Tropical Ecology, 25(4), 371–386. crossref

Kiyono, Y., Ochiai, Y., Chiba, Y., Asai, H., Saito, K., Shiraiwa, T., … Inoue, Y. (2007). Predicting chronosequential changes in carbon stocks of pachymorph bamboo communities in slash-and-burn agricultural fallow, northern Lao People’s Democratic Republic. Journal of Forest Research, 12(5), 371–383. crossref

Kumagai, T., Nagasawa, H., Mabuchi, T., Ohsaki, S., Kubota, K., Kogi, K., … Otsuki, K. (2005). Sources of error in estimating stand transpiration using allometric relationships between stem diameter and sapwood area for Cryptomeria japonica and Chamaecyparis obtuse. Forest Ecology and Management, 206(1–3), 191–195. crossref

Lobovikov, M., Paudel, S., Piazza, M., Ren, H., & Wu, J. (2007). World bamboo resources: A thematic study prepared in the framework of the Global Forest Resources Assessment 2005. Non-Wood Forest Products 18. Rome, Italy: FAO. Retrieved from website

Mon, M. S., Kajisa, T., Mizoue, N., & Yoshida, S. (2009). Factors affecting deforestation in Paunglaung Watershed, Myanmar using remote sensing and GIS. Journal of Forest Planning, 14(1), 7–16. crossref

Picard, N., Henry, M., Fonton, N. H., Kondaoulé, J., Fayolle, A., Birigazzi, L., … Maïdou, H. (2015). Error in the estimation of emission factors for forest degradation in central Africa. Journal of Forest Research, 21(1), 23–30. crossref

Sato, T., & Miyamoto, K. (2016). REDD-plus cookbook annex research manual Vol. 1: Ground-based inventory (Vol. 1). Japan: The REDD Research and Development Center; Forestry and Forest Products Research Institute. Retrieved from pdf

Singh, A. N., & Singh, J. S. (1999). Biomass, net primary production and impact of bamboo plantation on soil redevelopment in a dry tropical region. Forest Ecology and Management, 119(1–3), 195–207. crossref

UNFCCC. (2010). The Cancun Agreements: Outcome of the work of the Ad Hoc Working Group on Long-term Cooperative Action under the Convention (Decision 1/CP.16). Cancun. Retrieved from pdf

Wilson, C. L., & Loomis, W. E. (1967). Botany (4th ed.). New York: Holt, Rinehart and Winston.

Yuen, J. Q., Fung, T., & Ziegler, A. D. (2017). Carbon stocks in bamboo ecosystems worldwide: Estimates and uncertainties. Forest Ecology and Management, 393, 113–138. crossref

Zin, M. T. (2005). Developing a scientific basis for sustainable management of tropical forest watersheds: case studies from Myanmar. Göttingen University. crossref




DOI: http://doi.org/10.17503/agrivita.v40i3.2009

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