Journal of Geographical Sciences

, Volume 19, Issue 6, pp 691–706

Dynamic analysis on carbon accumulation of a plantation in Qianyanzhou based on tree ring data

  • Quanqin Shao
  • Lin Huang
  • Jiyuan Liu
  • Haijun Yang
  • Zhuoqi Chen


The authors developed a model to estimate annual tree growth based on tree-ring data (Abbr. TGTRing model) derived from the trunk at 0.5, 1.3 and 2.5 m height. This model was applied to estimate the annual biomass and carbon accumulation of a plantation in Qianyanzhou Red-Soil Hill Comprehensive Development Experimental Station of CAS in Taihe County, Jiangxi Province (Abbr. Qianyanzhou). The results showed that the inflexion points of the biomass and carbon accumulation curves occur at 17 and 18 years of age, respectively, in masson pine, whilst both inflexion points occurred at 15 years in slash pine and Chinese fir. The biomass and carbon accumulation in Chinese fir proved to be greater in the last 20 years than in the other species, with 171.697 t/hm2 and 92.29 tc/hm2, respectively. masson pine, with a biomass of 133.84 t/hm2 and a carbon accumulation of 73.92 tc/hm2 was the lowest whilst slash pine was intermediate with a biomass of 147.639 t/hm2 (unturpentined) and 135.743 t/hm2 (turpentined), and a carbon accumulation of 80.18 tc/hm2 (unturpentined) and 73.72 tc/hm2 (turpentined). In 2006, the total biomass and carbon storage of the tree stratum of masson pine in Qianyanzhou was 3324.43 t and 14,156.64 tc, respectively, whilst the values for Chinese fir were 1326.97 t and 713.27 tc. For slash pine the total biomass was 14,156.64 t (unturpentined) and 13,015.97 t (turpentined), and the total carbon storage was 7 688.21 tc (unturpentined) and 7068.78 tc (turpentined). Following the shaving of slash pine for resin, the total biomass was reduced by 1140.67 t and the total carbon storage fell by 619.43 tc.


tree-ring plantation biomass carbon accumulation TGTRing model Qianyanzhou 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Acker S A, Halpern C B, Harmon M E et al., 2002. Trends in bole biomass accumulation, net primary production and tree mortality in Pseudotsuga menziesii forest of contrasting age. Tree Physiology, 22: 213–217.Google Scholar
  2. Alexeyev V, Birdsey R, Stakanov V et al., 1995. Carbon in vegetation of Russian forests: Methods to estimate storage and geographical distribution. Water, Air and Soil Pollution, 82: 271–282.CrossRefGoogle Scholar
  3. Baldocchi D, Falge E, Gu L H et al., 2001. FLUXNET: A new tool to study the temporal and spatial variability of ecosystem scale carbon dioxide, water vapor, and energy flux densities. Bulletin of the American Meteorological Society, 82: 2415–2434.CrossRefGoogle Scholar
  4. Biondi F, 1999. Comparing tree-ring chronologies and repeated timber inventories as forest monitoring tools. Ecological Applications, 9(1): 216–227.CrossRefGoogle Scholar
  5. Bonan G B, 1995. Land-atmosphere interaction for climate system models: Coupling biophysical, biogeochemical, and ecosystem dynamical processes. Remote Sensing of Environment, 51: 57–73.CrossRefGoogle Scholar
  6. Bouriaud O, Bréda N, L Dupouey J et al., 2005. Is ring width a reliable proxy for stem-biomass increment? A case study in European beech. Canadian Journal of Forest Research, 35(12): 2920–2933.CrossRefGoogle Scholar
  7. Brown S, Lugo A E, 1984. Biomass of tropical forests: A new estimate based on forest volumes. Science, 223: 1290–1293.CrossRefGoogle Scholar
  8. Cao M K, Woodward F I, 1998. Dynamic responses of terrestrial ecosystem carbon cycling to global climate change. Nature, 393: 249–252.CrossRefGoogle Scholar
  9. Clark D A, Brown S, Kicklighter D W et al., 2001. Measuring net primary production in forests: Concepts and field methods. Ecological Applications, 11: 356–370.CrossRefGoogle Scholar
  10. Ding Guijie, 1997. Study on standard height curve model of masson pine planted forests. Journal of Zhejiang Forestry College, 14(3): 225–230. (in Chinese)Google Scholar
  11. Falge E, Baldocchi D, Tenhunen J et al., 2002. Seasonality of ecosystem respiration and gross primary production as derived from FLUXNET measurements. Agricultural and Forest Meteorology, 113: 53–74.CrossRefGoogle Scholar
  12. Fang Jingyun, Chen Aiping, Peng Changhui et al., 2001. Changes in forest biomass carbon storage in China between 1949 and 1998. Science, 292(5525): 2320–2322.CrossRefGoogle Scholar
  13. Fang Xi, Tian Dalan, Xiang Wenhua et al., 2002. Carbon dynamics and balance in the ecosystem of the young and middle-aged second-generation Chinese fir plantation. Journal of Central South Forestry University, 22(1): 1–6. (in Chinese)Google Scholar
  14. Fang Xi, Tian Dalan, Xiang Wenhua et al., 2003. On carbon accumulation, distribution of different densities in Slash Pine plantation. Journal of Zhejiang Forestry College, 20(4): 374–379. (in Chinese)Google Scholar
  15. Foody G M, Curran P J, 1994. Estimation of tropical forest extent and regenerative stage using remotely sensed data. Journal of Biogeography, 21: 223–244.CrossRefGoogle Scholar
  16. Gong Peng, 1999. Progression of RS-ecometrics. Journal of Natural Resources, 14(4): 51–54. (in Chinese)Google Scholar
  17. Graumlich L J, Brubaker L B, Grier C L, 1989. Long-term trends in forest net primary productivity: Cascade mountains, Washington. Ecology, 70(2): 405–410.CrossRefGoogle Scholar
  18. Greene S E, Harcombe P A, Harmon M E et al., 1992. Patterns of growth, mortality and biomass change in a coastal Picea sitchensis-Tsuga heterophylla forest. Journal of Vegetation Science, 3: 697–706.CrossRefGoogle Scholar
  19. Harcombe P A, 1986. Stand development in a 130-year-old spruce-hemlock forest based on age structure and 50 years of mortality data. Forest Ecology and Management, 14: 41–58.CrossRefGoogle Scholar
  20. Hasenaur H, Nemani R R, Schadauer K et al., 1999. Forest growth response to hanging climate between 1961 and 1990 in Austria. Forest Ecology and Management, 122: 209–219.CrossRefGoogle Scholar
  21. Hunt E R J, Martin F, Running S, 1991. Simulating the effects of climatic variation on stem carbon accumulation of a Pinus ponderosa stand: Comparison with annual growth increment data. Tree Physiology, 9: 161–171.Google Scholar
  22. Krakauer N Y, Randerson J T, 2003. Do volcanic eruptions enhance or diminish net primary production? Evidence from tree rings. Global Biogeochemical Cycles, 17(4): 1118, doi: 10.1029/2003GB002076.CrossRefGoogle Scholar
  23. LeBlanc D C, 1992. Spatial and temporal variation in the prevalence of growth decline in red spruce populations of the northeastern United States. Canadian Journal of Forest Research, 22: 1351–1363.CrossRefGoogle Scholar
  24. Li Dacha, 2004. Studies of stand structures and biomass of Fokienia hodginsii and Cunninghamia lanceolata mixed forest and F. hodginsii and slash pine mixed forest. Journal of Fujian Forestry Science and Technology, 31(4): 51–53. (in Chinese)Google Scholar
  25. Li Xuanran, Liu Qijing, Chen Yongrui, 2006. Aboveground biomass of three conifers in Qianyanzhou plantation. Chinese Journal of Applied Ecology, 17(8): 1382–1388. (in Chinese)Google Scholar
  26. Li Yide, Zeng Qingbo, Wu Zhongming et al., 1998. Estimation of amount of carbon pool in natural tropical forest of China. Forest Research, 11(2): 156–162. (in Chinese)Google Scholar
  27. Liu Guohua, Fu Bojie, Fang Jingyuan, 2000. Carbon dynamics of Chinese forests and its contribution to global carbon balance. Acta Ecologica Sinica, 20(5): 733–740. (in Chinese)Google Scholar
  28. Liu Yunfeng, Yu Guirui, Wen Xuefa et al., 2006. Seasonal dynamics of CO2 fluxes from sub-tropical plantation coniferous ecosystem. Science in China (Series D), 49(suppl.2): 99–109.CrossRefGoogle Scholar
  29. Luo Yunjian, Zhang Xiaoquan, 2006. Carbon stock changes of successive rotations of plantations. Forest Research, 19(6): 791–798. (in Chinese)Google Scholar
  30. Lv Yong, Li Jiping, Zhang Xiaolei, 1999. Height distribution model of Cunninghamia Lanceolata artificial stand in Huitong County. Journal of Central South Forestry University, 19(1): 68–70. (in Chinese)Google Scholar
  31. Malmstrom C M, Thompson M V, Juday G et al., 1997. Interannual variation in global-scale net primary production: Testing model estimates. Global Biogeochemical Cycles, 11: 367–392.CrossRefGoogle Scholar
  32. Melillo J M, McGuire A D, Kicklighter D W et al., 1993. Global climate change and terrestrial net primary production. Nature, 363: 234–240.CrossRefGoogle Scholar
  33. Prentice I C, Cramer W, Harrison S P et al., 1992. A Global biome based on plant physiology and dominance, soil properties and climate. Journal of Biogeography, 19: 117–134.CrossRefGoogle Scholar
  34. Rathgeber C, Nicault A, Guiot J et al., 2000. Simulated responses of Pinus halepensis forest productivity to climate change and CO2 increase using a statistical model. Global and Planetary Change, 26: 405–421.CrossRefGoogle Scholar
  35. Shen Jiazhi, 2002. Establishment and application of relative tree height curve models for main tree species type in Jian City. Jiangxi Forest Science and Technology, 1: 16–19. (in Chinese)Google Scholar
  36. Shen Wenqing, Liu Yunfeng, Ma Qingyan et al., 2006. Carbon distribution, carbon store and carbon sink function of pine forest plantation. Practical Forestry Technology, 8: 5–8. (in Chinese)Google Scholar
  37. Teng Ling, Peng Shaolin, Hou Aiming et al., 2001. Effect of air temperature change on the productivity of Pinus Massoniana population in Dinghushan. Journal of Tropical and Subtropical Botany, 9(4): 284–288. (in Chinese)Google Scholar
  38. Tian Dalun, Xiang Wenhua, Yan Wende, 2004. Comparison of biomass dynamic and nutrient cycling between Pinus massomiana plantation and slash pine plantation. Acta Ecologica Sinica, 24(10): 2207–2210. (in Chinese)Google Scholar
  39. Wang Miao, Bai Shuju, Tao Dali et al., 1995. Effect of rise in air temperature on tree ring growth of forest on Changbai Mountain. Chinese Journal of Applied Ecology, 6(2): 128–132. (in Chinese)Google Scholar
  40. Wang Qiming, 1990. A preliminary study on the biomass and production of slash pine plantation in Jiangsu Province. Acta Phytoecologica et Geobotanica Sinica, 14(1): 1–12. (in Chinese)Google Scholar
  41. Wang Xiaoke, Feng Zongwei, Ouyang Zhiyun, 2001. Vegetation carbon storage and density of forest ecosystems in China. Chinese Journal of Applied Ecology, 12(1): 13–16. (in Chinese)Google Scholar
  42. Wang Yihe, 2000. Studies on the relative height curve models of Pinus massoniana plantations and on their application. Journal of Fujian Forestry Science and Technology, 27(1): 36–39. (in Chinese)Google Scholar
  43. Woodward F I, Smith T M, Emanuel W R, 1995. A global primary productivity and phytogeography model. Global Biogeochemical Cycles, 9: 471–490.CrossRefGoogle Scholar
  44. Woodwell G M, Whittaker R H, Reiners W A et al., 1978. The biota and the world carbon budget. Science, 199: 141–146.CrossRefGoogle Scholar
  45. Wu Jing, 2005. Analysis on biomass and growth of eliotis pine, loblolly pine, slash pine. Journal of Jiangsu Forestry Science & Technology, 32(3): 33–35 (in Chinese)Google Scholar
  46. Wu Xiangding, Shao Xuemei, 1996. A preliminary study on impact of climate change on tree growth using tree ring width data. Acta Gegraphica Sinica, 51(suppl.): 92–102. (in Chinese)Google Scholar
  47. Yang Yushen, Chen Guangshui, Wang Yixiang, 2006. Carbon storage and allocation in Castanopsis kawakamii and Cunninghamia lanceolata plantations in subtropical China. Scientia Silvae Sinicae, 10: 43–47. (in Chinese)Google Scholar
  48. Ye Jinshen, 2006. Establishment of relative tree height models for main tree species in Guangdong. Guangdong Forest Science, 22(1): 26–31. (in Chinese)Google Scholar
  49. Zhang Jiawu, Feng Zongwei, 1980. The relationship of plantation density and production of eliotis pine in hill area of Taoyuan county. In: Paper Corpus of Chinese Fir Plantation Ecosystem. Shenyang: Institute of Forest Soil of CAS, 201–208. (in Chinese)Google Scholar
  50. Zhang Lin, Huang Yong, Luo Tianxiang et al., 2005. Age effects on stand biomass allocations to different components: A case study in forests of Cunninghamia lanceolata and Pinus massoniana. Journal of the Graduate School of the Chinese Academy of Sciences, 22(2): 170–178. (in Chinese)Google Scholar

Copyright information

© Science in China Press and Springer Berlin Heidelberg 2009

Authors and Affiliations

  • Quanqin Shao
    • 1
  • Lin Huang
    • 1
  • Jiyuan Liu
    • 1
  • Haijun Yang
    • 1
  • Zhuoqi Chen
    • 1
  1. 1.Institute of Geographic Sciences and Natural Resources ResearchCASBeijingChina

Personalised recommendations