Zhang Ying1, Dong Wenyuan2, Gu Bao1, Wang Linhao3, Tang Hailong1, Luo Xiangyi4, Chen Chaoyan4. Study on the Construction of Health Assessment Index System of Chimonobambusa utilis Forests in Northeastern Yunnan[J]. Journal of Southwest Forestry University, 2016, 36(3): 131-136. DOI: 10.11929/j.issn.2095-1914.2016.03.023
Citation: Zhang Ying1, Dong Wenyuan2, Gu Bao1, Wang Linhao3, Tang Hailong1, Luo Xiangyi4, Chen Chaoyan4. Study on the Construction of Health Assessment Index System of Chimonobambusa utilis Forests in Northeastern Yunnan[J]. Journal of Southwest Forestry University, 2016, 36(3): 131-136. DOI: 10.11929/j.issn.2095-1914.2016.03.023

Study on the Construction of Health Assessment Index System of Chimonobambusa utilis Forests in Northeastern Yunnan

  • This study chose the Chimonobambusa utilis forests in Jinfo Mountain, Northeastern Yunnan as the research object, a health assessment index model of bamboo forests in Jinfo Mountain was constructed based on the comprehensive surveys of growth conditions, stand structure, site conditions, etc. The main results were as follows: the health assessment index system of Cuticles bamboo forests established by the method of factor analysis,The first layer was the target layer, which was the health assessment of bamboo forest, the second layer was feature layer, including vitality index, resistance index, stand structure index, and canopy structure index, the third layer was secondary index layer, including 12 indexes: DBH (diameter at breast height), ground diameter, height, biomass, number of dead and erect bamboos, canopy density, age structure, abundance of tree layer, coverage of shrub layer, coverage of herb layer, tending management strength, social importance degree. The health assessment index model of bamboo forests predicted the vitality index based on different site conditions, and divided health condition of bamboo forests into three levels, healthy bamboo forest held 3111%, subhealth bamboo forest held 5111% and unhealthy bamboo forest held 1778%.
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