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http://dx.doi.org/10.11626/KJEB.2016.34.2.073

Piloting the FBDC Model to Estimate Forest Carbon Dynamics in Bhutan  

Lee, Jongyeol (Department of Environmental Science and Ecological Engineering, Graduate School, Korea University)
Dorji, Nim (Department of Research, Wang Research and Consultancy)
Kim, Seongjun (Department of Environmental Science and Ecological Engineering, Graduate School, Korea University)
Wang, Sonam Wangyel (Department of Research, Wang Research and Consultancy)
Son, Yowhan (Department of Environmental Science and Ecological Engineering, Graduate School, Korea University)
Publication Information
Korean Journal of Environmental Biology / v.34, no.2, 2016 , pp. 73-78 More about this Journal
Abstract
Bhutanese forests have been well preserved and can sequester the atmospheric carbon (C). In spite of its importance, understanding Bhutanese forest C dynamics was very limited due to the lack of available data. However, forest C model can simulate forest C dynamics with comparatively limited data and references. In this study, we aimed to simulate Bhutanese forest C dynamics at 6 plots with the Forest Biomass and Dead organic matter Carbon (FBDC) model, which can simulate forest C cycles with small amount of input data. The total forest C stock ($Mg\;C\;ha^{-1}$) ranged from 118.35 to 200.04 with an average of 168.41. The C stocks ($Mg\;C\;ha^{-1}$) in biomass, litter, dead wood, and mineral soil were 3.40-88.13, 4.24-24.95, 1.99-20.31, 91.45-97.90, respectively. On average, the biomass, litter, dead wood, and mineral soil accounted for 36.0, 5.5, 2.5, and 56.0% of the total C stocks, respectively. Although our modeling approach was applied at a small pilot scale, it exhibited a potential to report Bhutanese forest C inventory with reliable methodology. In order to report the national forest C inventory, field work for major tree species and forest types in Bhutan are required.
Keywords
forest carbon dynamics; FBDC model; Bhutanese forest; forest carbon inventory;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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1 Banskota K, BS Karky and M Skutsch. 2007. Reducing Carbon Emissions through Community-managed Forests in the Himalaya. ICIMOD. Available at http://books.icimod.org.
2 Dixon RK, S Brown, RA Houghton, AM Solomon, MC Trexler and J Wisniewski. 1994. Carbon pools and flux of global forest ecosystems. Science 263:185-191.   DOI
3 FAO. 2011. Global Forest Resources Assessment 2010 Country Report Bhutan. FAO. Rome, Italy.
4 Intergovernmental Panel on Climate Change (IPCC). 2001. Climate Change 2001: Synthesis Report. Cambridge University Press. Cambridge, United Kingdom and New York, USA.
5 IPCC. 2014a. Climate Change 2014: Synthesis Report. IPCC. Geneva, Switzerland.
6 IPCC. 2014b. 2013 Revised Supplementary Methods and Good Practice Guidance Arising from the Kyoto Protocol. IPCC. Switzerland.
7 Kim C. 2002. Mass loss rates and nutrient dynamics of decomposing fine roots in a sawtooth oak and Korean pine stands. Korean J. Ecol. 25:235-239.   DOI
8 Korea Forest Research Institute (KFRI). 2014. Carbon Emission Factors and Biomass Allometric Equations by Species in Korea. KFRI. Seoul, Korea (in Korean).
9 Korea Forest Service. 2009. Table of Tree Volume/Mass and Yield Table. Korea Forest Service. Daejeon, Korea (in Korean).
10 Kurz WA, MJ Apps, TM Webb and PJ McNamee. 1992. Carbon Budget of the Canadian Forest Sector: Phase I. Northern Forestry Centre, Canada.
11 Kurz WA, CC Dymond, TM White, G Stinson, CH Shaw, GJ Rampley, C Smyth, BN Simpson, ET Neilson, JA Trofymow, J Metsaranta and MJ Apps. 2009. CBM-CFS3: a model of carbon-dynamics in forestry and land-use change implementing IPCC standards. Ecol. Model. 200:480-504.
12 Lee A, K Yi, Y Son, R Kim, C Kim, GS Park, KH Lee and MJ Yi. 2010. Approaches for developing a Korean model through analysis of overseas forest soil carbon models. J. Korean For. Soc. 99:791-801 (in Korean with English abstract).
13 Lee J, TK Yoon, S Han, S Kim, MJ Yi, GS Park, C Kim, YM Son, R Kim and Y Son. 2014. Estimating the carbon dynamics of South Korean forests from 1954 to 2012. Biogeosciences 11:4637-4650.
14 Lee J, SH Han, S Kim, H Chang, MJ Yi, GS Park, C Kim, YM Son, R Kim and Y Son. 2015. Estimating the changes in forest carbon dynamics of Pinus densiflora and Quercus variabilis forests in South Korea under the RCP 8.5 climate change scenario. Korean J. Agric. For. Meteorol. 17:35-44 (in Korean with English abstract).   DOI
15 Lee J, D Tolunay, E Makineci, A Comez, YM Son, R Kim and Y Son. 2016. Estimating the age-dependent changes in carbon stocks of Scots pine (Pinus sylvestris L.) stands in Turkey. Ann. For. Sci. 73:523-531. DOI: 10.1007/s13595-016-0546-5.   DOI
16 Liski J, T Palosou, M Peltoniemi and R Sievanen. 2005. Carbon and decomposition model Yasso for forest soils. Ecol. Model. 189:168-182.   DOI
17 National Soil Services Centre (NSSC). 2011. Bhutan Land Cover Assessment 2010. Ministry of Agriculture and Forests Royar Government of Bhutan, Bhutan.
18 Park GS, GN Kang, SJ Lee, HG Lee, SY Lee, HM Chae and S Ohga. 2010. Net fine root carbon production in Pinus densiflora, Pinus koraiensis, Larix kaempferi and Quercus acutissima stands, Gongju area, Chungnam province, Korea. J. Fac. Agric. Kyushou U. 55:73-76.
19 Noh NJ. 2011. Carbon and nitrogen dynamics in a natural Pinus densiflora forest with different stand densities. Ph.D. thesis. Korea University, Korea.
20 Ohsawa M. 1987. Vegetation Zones in the Bhutan Himalaya. Life Zone Ecology of Bhutan Himalaya II. Chiba University, Japan.
21 Park C-W, J Lee, M Yi, C Kim, GS Park, R Kim, KH Lee and Y Son. 2013a. Estimation of changes in soil carbon stocks of Pinus densiflora forests in Korea using KFSC model under RCP 8.5 climate change scenario. Clim. Chang. Res. 4:77-93 (in Korean with English abstract).
22 Park C-W, K Yi, J Lee, K-H Lee, M-J Yi, C Kim, G-S Park, R Kim and Y Son. 2013b. Estimation of long-term effects of harvest interval and intensity, and post-harvest residue management on the soil carbon stock of Pinus densiflora stands using KFSC model. J. Korean For. Soc. 102:82-89 (in Korean with English abstract).   DOI
23 Wangda P and M Ohsawa. 2006. Gradational forest change along the climatically dry valley slopes of Bhutan in the midst of humid eastern Himalaya. Plant Ecol. 186:109-128.   DOI
24 Yi K, C-W Park, S-R Ryu, K-H Lee, M-J Yi, C Sim, G-S Park, R Kim and Y Son. 2013. Simulating the soil carbon dynamics of Pinus densiflora forests in central Korea. Scand. J. For. Res. 28:241-256.   DOI
25 Zhou M, W Xiang, C Peng and D Tian. 2009. Simulating agerelated changes in carbon storage and allocation in a Chinese fir plantation growing in southern China using the 3-PG model. For. Ecol. Manag. 257:1520-1531.   DOI