| 徐庆玲,郭道峰,韦秋生,黎庆华,罗霸,莫焕雄,覃孙慧.广西速丰桉二元立木材积模型研建[J].林业调查规划,2024,49(4):1-6 |
| 广西速丰桉二元立木材积模型研建 |
| Binary Volume Model for Fast-Growing and High-Yield Eucalyptus in Guangxi |
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| DOI： |
| 中文关键词: 速丰桉 二元材积模型 山本式固定参数模型 独立样本检验 胸高形数 |
| 英文关键词: fast-growing and high-yield Eucalyptus binary volume model Yamamoto-Kazuhide model
with fixed parameters independent sample testing breast-height form factor |
| 基金项目:广西林业科研项目(桂林科研〔2016〕31 号,桂林科研〔2016〕24 号,桂林科研〔2015〕15 号). |
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| 中文摘要: |
| 在广西速丰桉6个区域设置276块标准地,按径阶采集539株样木,选取山本式固定参数模
型和山本式可变参数模型分别构建速丰桉二元材积模型,通过比较参数变动系数并综合修正决定
系数、总相对误差、平均系统误差、平均百分标准误差及预估精度等指标,确定V= 0.000 043 54×
D1.718 74×H1.197 27为最佳的二元材积模型。同时,对模型进行不同树种、区域、胸径、树高分段及独立
样本检验,结果表明,模型各项精度均达到编制二元材积模型的精度要求,可广泛应用于广西速丰
桉伐区设计调查和其他生产经营活动。 |
| 英文摘要: |
| In this study, 276 standard plots were set up in 6 areas of fast-growing and high-yield Eucalyptus
forest in Guangxi, and 539 sample trees were collected by diameter class. The Yamamoto-Kazuhide
models with fixed and variable parameters were used to construct the binary volume model. By comparing
the parameter variation coefficient and integrating correction coefficients such as determination coefficient,
total relative error, mean systematic error, mean percentage standard error, and estimation accuracy,
the best binary volume model was V= 0.000 043 54×
D1.718 74×H1.197 27. The model was tested by
species, different regions, different diameter classes, tree height classes, and independent sample tests.
The results showed that the accuracy of the model met the requirements for developing binary volume
models and could be widely applied to the design and investigation of logging areas and other production and management activities in fast-growing and high-yield Eucalyptus forests in Guangxi. |
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