The altitudinal belts of subalpine virgin forest on Mt. Gongga simulated by a succession model
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  • 作者:Gen-wei Cheng (1)
    Jian Sun (2)
    Yu-kun Sha (1) (3)
    Ji-hui Fan (1)
  • 关键词:Subalpine forests ; Altitudinal belts ; Succession processes ; Forest gap model
  • 刊名:Journal of Mountain Science
  • 出版年:2014
  • 出版时间:November 2014
  • 年:2014
  • 卷:11
  • 期:6
  • 页码:1560-1570
  • 全文大小:6,673 KB
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    5. Larocque GR, Archambault L, Delisle C (2011) Development of the gap model ZELIG-CFS to predict the dynamics of North American mixed forest types with complex structures. Ecological Modelling 222: 2570鈥?583. DOI: 10.1016/j.ecolmodel.2010.08.035. CrossRef
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    8. Wang XD, Cheng GW, Zhong XH (2011) Assessing potential impacts of climatic change on subalpine forests on the eastern Tibetan Plateau. Climatic Change 108: 225鈥?41. DOI: 10.1007/s10584-010-0008-2. CrossRef
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    13. Cheng GW & Luo J (2002) Successional features and dynamic simulation of sub-alpine forest in the Gongga Mountain, China. Acta Ecologica Sinica 7: 1049鈥?056. DOI: 10.3321/j.issn:1000-0933.2002.07.011
    14. Cheng GW & Luo J (2004) Succession features and dynamic simulation of subalpine forest in Gongga Mountain, China. Journal of Mountain Science 1: 2937. DOI: 10.1007/bf02919357 CrossRef
    15. Huo CF, Cheng GW, Lu XY, et al. (2010b) Dynamic simulation of climate change impacts on forest primary succession in Gongga Mountain, southwestern China. Journal of Beijing Forestry University 32: 1鈥?.
  • 作者单位:Gen-wei Cheng (1)
    Jian Sun (2)
    Yu-kun Sha (1) (3)
    Ji-hui Fan (1)

    1. Key Laboratory of Mountain Surface Process and Ecological Regulation, Institute of Mountain Hazard and Environment, Chinese Academy of Sciences, Chengdu, 610041, China
    2. Synthesis Research Centre of Chinese Ecosystem Research Network, Key Laboratory of Ecosystem Network Observation and Modelling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
    3. University of Chinese Academy of Sciences, Beijing, 100049, China
  • ISSN:1993-0321
文摘
How to accurately simulate the distribution of forest species based upon their biological attributes has been a traditional biogeographical issue. Forest gap models are very useful tools for examining the dynamics of forest succession and revealing the species structure of vegetation. In the present study, the GFSM (Gongga Forest Succession Model) was developed and applied to simulate the distribution, composition and succession process of forests in 100 m elevation intervals. The results indicate that the simulated results of the tree species, quantities of the different types of trees, tree age and differences in DBH (diameter at breast height) composition were in line with the actual situation from 1400 to 3700 MASL (meters above sea level) on the eastern slope of Mt. Gongga. Moreover, the dominant species in the simulated results were the same as those in the surveyed database. Thus, the GFSM model can best simulate the features of forest dynamics and structure in the natural conditions of Mt. Gongga. The work provides a new approach to studying the structure and distribution characteristics of mountain ecosystems in varied elevations. Moreover, the results of this study suggest that the biogeochemistry mechanism model should be combined with the forest succession model to facilitate the ecological model in simulating the physical and chemical processes involved.

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