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本文应用森林资源调查控制总体蓄积,以抽样调查中疏密度≥0.3的样地的年龄(A)和蓄积(M)为基础数据,分别树种、类型用多个模型拟合A——M模型,从中选定最优式。供编制现实林分蓄积生长过程表。用二类(小班)调查提供的各树种、类型的各年龄蓄积和相应生长过程表中后一年的生长率,预测后一年的连年生长量;同时按常规法计算平均生长量,然后按龄级、龄组统计,得各树种、类型及全县的蓄积生长量。现实林分数量成熟龄:杉木15～16年,马尾松28～29年,阔叶树20～21年。所编制的生长过程表,为该县森林资源管理、资源数据更新提供了依据。
In this paper, we use the forest resources survey to control the overall accumulation. Based on the data of age (A) and accumulation (M) of the samples with the density of ≥0.3 in the sampling survey, the A - M models were fitted with multiple models, Choose the best type. For the preparation of realistic stand growth process table. The growth rate of the next year in each tree species and type, and the corresponding growth process table provided by the two types of (small class) surveys were used to forecast the annual growth rate of the year after the year. At the same time, the average growth rate was calculated according to the conventional method Age class, age group statistics, the tree species, types and the accumulation of growth in the county. Reality stand quantity mature age: fir 15 to 16 years, masson pine 28 to 29 years, broad-leaved trees 20 to 21 years. The prepared growth process table provided the basis for the county’s forest resources management and resource data updating.