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Plant Ecology

, Volume 201, Issue 1, pp 1–9 | Cite as

Quantitative classification and carbon density of the forest vegetation in Lüliang Mountains of China

  • Xianping Zhang
  • Mengben WangEmail author
  • Xiaoming Liang
Article

Abstract

Forests play a major role in global carbon (C) cycle, and the carbon density (CD) could reflect its ecological function of C sequestration. Study on the CD of different forest types on a community scale is crucial to characterize in depth the capacity of forest C sequestration. In this study, based on the forest inventory data of 168 field plots in the study area (E 111°30′–113°50′, N 37°30′–39°40′), the forest vegetation was classified by using quantitative method (TWINSPAN); the living biomass of trees was estimated using the volume-derived method; the CD of different forest types was estimated from the biomass of their tree species; and the effects of biotic and abiotic factors on CD were studied using a multiple linear regression analysis. The results show that the forest vegetation in this region could be classified into 9 forest formations. The average CD of the 9 forest formations was 32.09 Mg ha−1 in 2000 and 33.86 Mg ha−1 in 2005. Form. Picea meyeri had the highest CD (56.48 Mg ha−1), and Form. Quercus liaotungensis Acer mono had the lowest CD (16.14 Mg ha−1). Pre-mature forests and mature forests were very important stages in C sequestration among four age classes in these formations. Forest densities, average age of forest stand, and elevation had positive relationships with forest CD, while slope location had negative correlation with forest CD.

Keywords

TWINSPAN Carbon density Volume-derived method Forest vegetation China 

Notes

Acknowledgments

This research was supported by the National Natural Science Foundation of China (30170150). We thank Professor Feng Zhang for reviewing earlier drafts of this article; and anonymous reviewers for valuable comments on the manuscript.

References

  1. Brown S, Lugo AE (1984) Biomass of tropical forests: a new estimate based on forest volumes. Science 223:1290–1293. doi: 10.1126/science.223.4642.1290 PubMedCrossRefGoogle Scholar
  2. Brown SL, Schroeder P, Kern JS (1999) Spatial distribution of biomass in forests of the eastern USA. For Ecol Manag 123:81–90CrossRefGoogle Scholar
  3. Dixon RK, Brown S, Houghton RA et al (1994) Carbon pools and flux of global forest ecosystems. Science 263:185–190. doi: 10.1126/science.263.5144.185 PubMedCrossRefGoogle Scholar
  4. Duvigneaued P (1987) La synthese ecologique (in Chinese, trans: Li Y). Chinese Science Press, Beijing, ChinaGoogle Scholar
  5. Enquist BJ, Niklas KJ (2002) Global allocation rules for patterns of biomass portioning in seed plants. Science 295:1517–1520. doi: 10.1126/science.1066360 PubMedCrossRefGoogle Scholar
  6. Fang JY, Wang ZM (2001) Forest biomass estimates at regional and global levels, with special reference to China’s forest biomass. Ecol Res 16:587–592. doi: 10.1046/j.1440-1703.2001.00419.x CrossRefGoogle Scholar
  7. Fang JY, Liu GH, Xu SL (1996) Biomass and net production of forest vegetation in China (in Chinese with English abstract). Acta Ecol Sin 16:497–508Google Scholar
  8. Fang JY, Chen AP, Peng CH et al (2001) Changes in forest biomass carbon storage in China between 1949 and 1998. Science 292:2320–2322. doi: 10.1126/science.1058629 PubMedCrossRefGoogle Scholar
  9. Goodale CL, Apps MJ (2002) Forest sinks in the northern hemisphere. Ecol Appl 12(3):891–899. doi: 10.1890/1051-0761(2002)012[0891:FCSITN]2.0.CO;2 CrossRefGoogle Scholar
  10. Hill MO (1979) TWINSPAN—a FORTRAN program for arranging multivariate data in an ordered two-way table by classification of the individuals and the attributes. Department of Ecology and Systematics, Cornell University, IthacaGoogle Scholar
  11. Hiura T (2005) Estimation of aboveground biomass and net biomass increment in a cool temperate forest on a landscape scale. Ecol Res 20:271–277. doi: 10.1007/s11284-005-0042-0 CrossRefGoogle Scholar
  12. Houghton RA (2002) Terrestrial carbon sinks-uncertain explanations. Biologist 49:155–160PubMedGoogle Scholar
  13. Houghton JT, Ding Y, Griggs DJ (eds) (2001a) Climate change 2001: the scientific basis. Contribution of working group I to the third assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, UKGoogle Scholar
  14. Houghton RA, Lawrence KT, Hackler JL et al (2001b) The spatial distribution of forest biomass in the Brazilian Amazon: a comparison of estimate. Glob Change Biol 7:731–746. doi: 10.1046/j.1365-2486.2001.00426.x CrossRefGoogle Scholar
  15. Hu HF, Liu GH (2006) Roles of forest management in global carbon dioxide mitigation (in Chinese with English abstract). Chin J App Ecol 17(4):709–714Google Scholar
  16. Johnson WC, Sharpe DM (1983) The ratio of total to merchantable forest biomass and its application to the global carbon budget. Can J Res 13:372–383CrossRefGoogle Scholar
  17. Liu GH, Fu BJ, Fang JY (2000) Carbon dynamics of Chinese forests and its contribution to global carbon balance (in Chinese with English abstract). Acta Ecol Sin 20(5):733–740Google Scholar
  18. Ministry of Forestry (1982) Standards for forest resources survey. China Forestry Publishing House, Beijing, ChinaGoogle Scholar
  19. Science and Technology Department of Shanxi Forestry Bureau (1986) The compilation of forestry standards in Shanxi Province. Taiyuan, ChinaGoogle Scholar
  20. The Editing Committee of Shanxi Forest (1984) Shanxi Forest. Chinese Forestry Press, Beijing, China, pp 135–136Google Scholar
  21. Wang XK (1999) Study on regional carbon cycle of forest ecosystem in China. Theses of committee of Synthesis Investigation of Natural Resources. Chinese Academy of Science, Beijing, China, p 123Google Scholar
  22. Wang XK, Feng ZW, Ouyang ZY (2001a) The impact of human disturbance on vegetation carbon storage in forest ecosystems in China (in Chinese with English abstract). For Ecol Manag 148:117–123. doi: 10.1016/S0378-1127(00)00482-5 CrossRefGoogle Scholar
  23. Wang XK, Feng ZW, Ouyang ZY (2001b) Vegetation carbon storage and density of forest ecosystems in China(in Chinese with English abstract). Chin J App Eco 12(1):13–16Google Scholar
  24. Watson RT (2000) Land use, land-use change, and forestry: a special report of the IPCC. Cambridge university Press, Cambridge, p 377Google Scholar
  25. Wei HD, Ma XQ, Liu AQ et al (2007) Review on carbon cycle of forest ecosystem (in Chinese with English abstract). Chin J of Eco-Agric 15(2):188–192Google Scholar
  26. Wu ZY (1980) Chinese vegetation. Science Press, Beijing, ChinaGoogle Scholar
  27. Zhang JT (2004) Quantitative ecology. Science Press, Beijing, ChinaGoogle Scholar
  28. Zhang F, Zhang JT, Zhang F (2003) Pattern of forest vegetation and its environmental interpretation in Zhuweigou, Lishan mountain nature reserve (in Chinese with English abstract). Acta Ecol Sin 23:421–427Google Scholar
  29. Zhao M, Zhou GS (2005) Estimation of biomass and net primary productivity of major planted forests in China based on forest inventory data. For Ecol Manag 207:295–313. doi: 10.1016/j.foreco.2004.10.049 CrossRefGoogle Scholar
  30. Zhao M, Zhou GS (2006) Carbon storage of forest vegetation in China and its relationship with climatic factors. Clim Change 74:175–189. doi: 10.1007/s10584-006-6775-0 CrossRefGoogle Scholar
  31. Zhou YR, Yu ZL, Zhao SD (2000) Carbon storage and budget of major Chinese formations (in Chinese with English abstract). Acta Phytoecol Sin 24:518–522Google Scholar
  32. Zhou GS, Wang YH, Jiang YL, Yang ZY (2002) Estimating biomass and net primary production from forest inventory data: a case study of China’s Larix forest. For Ecol Manag 169:149–157. doi: 10.1016/S0378-1127(02)00305-5 CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2008

Authors and Affiliations

  1. 1.Institute of Loess PlateauShanxi UniversityTaiyuanPeople’s Republic of China
  2. 2.Shanxi Forestry Vocational Technological CollegeTaiyuanPeople’s Republic of China
  3. 3.Guandi Mountain State-Owned Forest Management Bureau of Shanxi ProvinceLishiPeople’s Republic of China

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