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    张西, 贾黎明, 张瑜, 郑聪慧. 基于FVS的秦岭地区栓皮栎天然次生林单木模型构建[J]. 北京林业大学学报, 2015, 37(5): 19-29. DOI: 10.13332/j.1000-1522.20140356
    引用本文: 张西, 贾黎明, 张瑜, 郑聪慧. 基于FVS的秦岭地区栓皮栎天然次生林单木模型构建[J]. 北京林业大学学报, 2015, 37(5): 19-29. DOI: 10.13332/j.1000-1522.20140356
    ZHANG Xi, JIA Li-ming, ZHANG Yu, ZHENG Cong-hui. Individual growth simulation for natural secondary forest of Quercus variabilis in Qinling Area based on FVS.[J]. Journal of Beijing Forestry University, 2015, 37(5): 19-29. DOI: 10.13332/j.1000-1522.20140356
    Citation: ZHANG Xi, JIA Li-ming, ZHANG Yu, ZHENG Cong-hui. Individual growth simulation for natural secondary forest of Quercus variabilis in Qinling Area based on FVS.[J]. Journal of Beijing Forestry University, 2015, 37(5): 19-29. DOI: 10.13332/j.1000-1522.20140356

    基于FVS的秦岭地区栓皮栎天然次生林单木模型构建

    Individual growth simulation for natural secondary forest of Quercus variabilis in Qinling Area based on FVS.

    • 摘要: 栓皮栎是珍贵的经济树种和用材树种,经济价值高、用途广泛,在全国均有分布,其中秦岭至大别山一带是其核心分布区之一。以秦岭南北坡栓皮栎天然次生林为研究对象,在陕西省商洛市山阳县、镇安县、西安市周至县和宝鸡市太白县设置临时样地并进行调查,利用104块样地数据和150株解析木数据构建基于FVS系统的栓皮栎5类单木核心生长模型,包括胸径-树高模型、冠幅模型、胸径生长量模型、树高生长量模型和材积模型。结果如下:确定栓皮栎胸径-树高模型表达式为H=1.082esup>3.245-17.291DBH+1+3.56,冠幅模型表达式为CW=0.257+0.244DBH-0.002DBH2,胸径定期(5年)生长量方程为ln(DDS)=-12.669-0.055A-0.004DBH2+0.117SI-39.181ln(DBH)+43.138ln(DBH+1)+0.013sin(SL),树高生长量模型方程表达式为HTG=6.372+0.025AvgH+0.108DomtH+0.008DBH2-0.254SD +0.168SI+0.038 sin(SL)-3.613 ln(DBH),材积模型方程表达式为V=0.338+11.477DBH-11.582DBH0.997·H0.001+0.002DBH·H。通过拟合与计算,确定树皮调整因子值为1.159 2,树冠竞争因子值上限接近450,林分最大密度指数为923株/hm2。对所建各模型进行t检验和残差分布检验,结果均显示拟合效果较好。所建模型以期为秦岭地区栓皮栎林FVS系统本土化研究奠定基础,为该区域栓皮栎林抚育经营决策提供依据。

       

      Abstract: Quercus variabilis is a precious economic and timber tree species with a broad range of uses. It is distributed in the whole country of China, and the area from Qinling Mountain to Dabieshan Mountain is one of its main distribution ranges. In this study we took natural secondary forest of Q. variabilis from both northern and southern slopes of Qinling Mountain as research object, set up temporary sample plots and took on investigations at Shanyang and Zhen’an counties of Shangluo City, Zhouzhi County of Xi’an City and Taibai County of Baoji City in Shaanxi Province, and used the data from totally 104 sample plots and 150 analytical trees to build five individual Q. variabilis core growth models based on Quercus FVS (forest vegetation simulator) system, including DBH-tree height model, crown width model, DBH growth model, tree height growth model, and volume model. Results were as follows: the equation of DBH-tree height model was determined as H=1.082esup>3.245-17.291DBH+1+3.56, the crown width model expression as CW=0.257+0.244DBH-0.002DBH2, the equation of DBH (5 years) growth model as ln(DDS)=-12.669-0.055A-0.004DBH2+0.117SI-39.181ln(DBH)+43.138ln(DBH+1)+0.013·sin(SL), the equation expression of tree height growth model as HTG=6.372+0.025AvgH+0.108DomtH+0.008DBH2-0.254SD+0.168SI+0.038 sin(SL)-3.613ln(DBH), and the equation of volume model as V=0.338+11.477DBH-11.582DBH0.997·H0.001+0.002DBH·H. The bark adjustment factor was calculated as 1.159 2, the upper limit of the crown competition factor was close to 450, and the maximum of stand density index was 923 plants/ha. Taking t-test and residual distribution test with each model, the results showed that the fitting is good. The models are expected to lay the foundation of FVS system localization research on cork oak forests in Qinling Region, and provide the basis for the management decision of local oak forest.

       

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