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    黄国胜, 马炜, 王雪军, 夏朝宗, 党永锋. 基于一类清查数据的福建省立地质量评价技术[J]. 北京林业大学学报, 2014, 36(3): 1-8. DOI: 10.13332/j.cnki.jbfu.2014.03.001
    引用本文: 黄国胜, 马炜, 王雪军, 夏朝宗, 党永锋. 基于一类清查数据的福建省立地质量评价技术[J]. 北京林业大学学报, 2014, 36(3): 1-8. DOI: 10.13332/j.cnki.jbfu.2014.03.001
    HUANG Guo-sheng, MA Wei, WANG Xue-jun, XIA Chao-zong, DANG Yong-feng. Forestland site quality evaluation of Fujian Province based on continuous forest inventory data.[J]. Journal of Beijing Forestry University, 2014, 36(3): 1-8. DOI: 10.13332/j.cnki.jbfu.2014.03.001
    Citation: HUANG Guo-sheng, MA Wei, WANG Xue-jun, XIA Chao-zong, DANG Yong-feng. Forestland site quality evaluation of Fujian Province based on continuous forest inventory data.[J]. Journal of Beijing Forestry University, 2014, 36(3): 1-8. DOI: 10.13332/j.cnki.jbfu.2014.03.001

    基于一类清查数据的福建省立地质量评价技术

    Forestland site quality evaluation of Fujian Province based on continuous forest inventory data.

    • 摘要: 基于森林资源清查的标准木、样木和样地数据,构建主要树种(组)树高曲线,编制立地指数表,用地形和土壤 因子拟合立地指数估测模型。同时,基于林地空间分布数据,估测福建省小班立地指数,得到立地质量等级及分 布。结果表明:1)分等级的树高曲线符合林木生长规律,根据样地等级计算样木树高,筛选优势木,采用Richards 模型的导向曲线和标准胸径编制立地指数表的方法可行;2)地貌、坡位、坡向、坡度和土层厚度是估算华东华中低 山丘陵用材经济林区冶杉木立地指数的主导因子,逐步回归的多元线性模型精度高,拟合结果好;3)福建省小班玉、 域和芋立地质量等级所占比例达82郾58%,认为全省林地质量偏好,其中闽中北地区林地质量最好,而沿海宁德和 泉州属中等偏差,其余市区属中等偏好。基于森林清查资料的立地质量评价方法科学、实用,值得推广。

       

      Abstract: Based on continuous forest inventory data (as mean tree, sample tree and plot), tree height curves of main tree species were established, site index tables were compiled, and site index models were built with some landform and soil factors. Meanwhile, forestland spacial distribution冶database was used for sub-compartment site index estimation of Fujian Province, the special distribution of forestland site quality class was draw then. Results showed that: 1) height class reflected tree growth on different site condition, which can be used to determine the productivity level of plot and calculate dominant tree height. Taking Richards function as a basic model type, site index tables can be compiled with standard diameter. 2) Landform, slope-position, aspect, slope and soil thickness were dominant factors for multivariate linear model of Cunninghamia lanceolata in southeastern region, the model had high precision with mean prospect error of 0-75%. 3) The area proportion of sub-compartment with good and moderate site quality classes was 82-58% in Fujian Province. In conclusion, the site quality evaluation method proposed in this research is available and worth of spreading.

       

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