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出 处:《安徽农业科学》2015年第22期137-139,164,共4页Journal of Anhui Agricultural Sciences
摘 要:该研究应用东北林区调查的119天然林标准地数据,通过绘制各林分直径分布直方图,分析林分的直径分布规律,运用SB分布、指数分布、正态分布、Weibull分布和β分布函数对其进行拟合,建立直径回归模型,并采用矩解法求解参数,更精确地比较各种分布函数对实际数据的拟合效果。研究结果表明:林木株数随着直径的增大呈减少的趋势;指数分布和Weibull分布的拟合效果较好,但指数分布优于Weibull分布。观察指数分布函数的各参数的变化规律,发现参数a基本不变,而参数b在变化。绘制参数b与林分调查因子间的散点图,发现指数分布中的参数b与林分平均直径有显著的相关性。通过相关性分析,选择函数进行拟合,结果表明:幂函数的拟合效果最好,相关系数最高。通过对参数b的再参数化建立模型,最终得到最优的天然次生林林直径分布模型。Use SB distribution function,exponential distribution function,normal distribution function,Weibull distribution function and beta distribution function to fit the transformation regularities,set up parameter regression model. In order to compare various distribution function of the actual data fitting effect more precisely,the solution method using torque. Research results show: the rule of diameter distribution is that with the increasing of the diameter,the number of trees is reduced; the fitting effects of exponential distribution and Weibull distribution are good,but the exponential distribution is better. Observing each parameter variation of exponential distribution function,it can be seen that parameter a is constant while parameter b is changing. By making chat between parameter b and stand description factor,it shows that parameter b and average diameter has significant correlation. Through the correlation analysis,select the appropriate functions to fit them. The results show that the power function fits best,the correlation coefficient is the highest. Combining the relationship between parameter b and average diameter,obtain the general diameter distribution function of natural secondary distribution function.
分 类 号:S757[农业科学—森林经理学]
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