| 施凯泽,罗 胤,冷鸿天,郎晓雪,李 维,徐婷婷.云南省云南松形高表的编制[J].林业调查规划,2025,50(5):17-22 |
| 云南省云南松形高表的编制 |
| Establishment of Form Height Tables for Pinus yunnanensis in Yunnan Province |
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| DOI： |
| 中文关键词: 云南松 形高表 形高模型 适用性检验 云南省 |
| 英文关键词: Pinus yunnanensis form height table form height model applicability test Yunnan Province |
| 基金项目: |
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| 摘要点击次数: 859 |
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| 中文摘要: |
| 利用在云南省内调查的469 组天然云南松和407组人工云南松数据分别建立形高模型。选
择有代表性的7个形高数学模型作为备选模型,使用ForStat 3.0软件最小二乘法对各模型进行拟
合评价,采用离差平方和(SSR)、决定指数(R2)、总相对误差(RS)、相对误差平均值(REA)、相对误
差绝对平均值(REAA)、残差(SR)、数学模型行为分析7 个评价指标作为基本模型选型的参考指
标,筛选出最优模型为:天然云南松HF=0.968933×H0.0334456×D0.752422;人工云南松HF=1.146375×
H-0.020126×D0.757727。采用总体自检、分段自检、检验样本检验对所选模型进行适用性检验,模型均通
过了检验,本模型可用于对云南省内的云南松形高进行估算。 |
| 英文摘要: |
| This study established form height models using 469 datasets of natural Pinus yunnanensis and
407 datasets of planted Pinus yunnanensis collected across Yunnan Province. Seven representative mathematical
form height models were selected as candidate models. The models were fitted and evaluated using
the least squares method in ForStat 3.0 software. Seven evaluation metrics were used as reference indicators
for model selection: sum of squared residuals(SSR), coefficient of determination(R2), total
relative error (RS), mean relative error(REA), mean absolute relative error(REAA), residual
(SR), and mathematical model behavior analysis. The optimal models selected were: Natural stands HF=
0.968933×H0.0334456×D0.752422, Planted stands HF = 1.146375×H-0.020126×D0.757727. The selected models
underwent applicability tests including overall self-testing, segmented self-testing, and validation with
test samples. All models passed the tests, confirming their suitability for estimating the form height of Pinus yunnanensis in Yunnan Province. |
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