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›› 2005, Vol. 22 ›› Issue (2): 170-178.DOI: 10.7523/j.issn.2095-6134.2005.2.008

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Age Effects on Stand Biomass Allocations to Different Components : a Case Study in Forests of Cunninghamia Lanceolata and Pinus Massoniana

ZHANG Lin1,5, 5 HUANG Yong2, LUO Tian-Xiang1,3, DAI Qiang4, DENG Kun-Mei1   

  1. 1. Institute of Geographical Sciences and Natural Resources Research, Chinese Ac ademy of Sciences, Beijing 100101, China;
    2. Institute of Forestry Reconnaissance, Nanning 530011, China;
    3. Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100085, China;
    4. Huangmian Forestry Center of Guangxi, Liuz hou 545619, China;
    5. Graduate School of the Chinese Academy of Sciences, Beijing 100049, China
  • Received:2004-03-25 Revised:2004-07-08 Online:2005-03-15

Abstract:

Forest biomass usually increases with stand age. However, biomass allocations to different components of trees vary greatly with stand age. In this paper, we synthesized and analyzed age effects on stand biomass allocations to different components in Chinese-fir and pine forests, the most important and widely distributed plantations over south China. 95 field plots of biomass measurements with different components and stand ages were from our field data in the Huangmian Forestry Center of Guangxi, and from Chinese literature during 1978~-0031The results indicated that stem biomass, aboveground biomass and total biomass in both forest types increased significantly with stand age. Biomass of branches and roots also increased significantly with stand age in the pine forest. However, in Chinese-fir forest, the branch and root biomasses increased in early ages and then gradually tended to reach a steady state. There was no robust relationship between leaf biomass and stand age in both forest types. The root-to-shoot ratio decreased gradually with stand age in Chinese-fir forest, and there was no significant correlation in the pine forest. Because forest inventory data have become accepted as valuable contributions to carbon cycle research, we expected our in-depth analysis to provide insight into the methods for processing inventory data for estimating carbon accumulation, which leads to more accurate estimates of forest carbon stocks and stock changes.

Key words: stand age, carbon storage, biomass, Cunninghamia lanceolata, Pinus massoniana

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