韶关市桉树(尾巨桉、巨尾桉)短周期工业原料林二元材积表的编制

Study on Binary Volume of Short Cycle Industrial Raw Material Forest of Eucalyptus in Shaoguan

调查收集了金韶关速生丰产林公司20个乡镇不同立地条件、不同林分年龄和不同造林密度下的桉树工业原料林样木527株,利用8个数据模型,采用DPS统计软件进行分析。经适应性检验,筛选出最佳材积生长模型为:V=0.00012D1.8878H0.6362,编制了桉树(尾巨桉、巨尾桉)短周期工业原料林二元材积表。选择的模型4经精度检验,平均误差为-2.05%,系统误差为±2.1%,精度符合林业生产和应用要求。

With eight data model, using DPS statistical software for analysis, 527 sample Eucalyptus in-dustrial timber trees of Golden Shaoguan Fast Growing Forest Company were measured in 20 villages and towns with different site conditions, ages and density. Through adaptive test, the best volume increment model was screened as follows： V = 0. 00012D^1.8878H^0.6362 and volume table with two factors D （diameter） and H （height） for short-rotation industrial Eucalyptus plantation were established. The average error and system error were - 2.05% ,± 2.1%. Its precision was eligible to be used in forestry production and application.