基于森林资源二类调查数据的杉木人工林收获表编制
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四川省林业科学研究院“948”资助。


Compiling of empirical yield table of Chinese fir plantation based on forest resource inventory data
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    摘要:

    应用旌德县庙首林场198个杉木人工林小班数据,选用3种林分因子生长模型拟合杉木人工林林木生长过程,用非线性麦夸特迭代求解法,确定各模型参数、剩余离差、相关指数等;根据相关指数最大、剩余离差最小原则,确定最佳杉木人工林林分因子最佳生长模型。结果表明,理查德模型拟合效果最好,直径(D)= 455.4099SI0.1976(1- e- 0.0002t0.7534,树高(H)= 8.9268SI0.3702(1- e-0.0294t1.1039,蓄积(M)= 98.8085SI0.3063(1- e-0.1323t4.7097。根据上述模型编制的杉木人工林经验收获表,可以为庙首林场杉木人工林林分收获预估及森林经营决策提供依据。

    Abstract:

    Forestry yield models were selected to describe the growth process of the Chinese fir plantation stand factors (diameter, tree height, volume, etc.) based on the data of 198 subcompartment in Miaoshou forest-farm of Jinde County. The parameters, the remaining standard deviation, relevant index of stand factor growth models were calculated by nonlinear equations of Mai Kuate computation. According to the relevant index and the reside standard deviation, the best yield model for the Chinese fir plantation stand factors was given. The result showed that Richards equation is the best. D = 455.4099SI 0.1976(1- e- 0.0002t0.7534, H = 8.9268SI0.3702(1- e-0.0294t1.1039 , M = 98.8085SI0.3063(1- e-0.1323t4.7097. The empirical yield table of Chinese fir plantation was compiled based on above stand factor growth models, which can provide basis for yield forecast and forest management of Chinese fir plantation stand in Miaoshou forest-farm.

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  • 收稿日期:2011-11-04
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  • 在线发布日期: 2016-12-05