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作 者:解开宏[1] 宋永俊[2] 牛红玉 冷鸿天 XIE Kaihong;SONG Yongjun;NIU Hongyu;LENG Hongtian(Yinglin Branch of Yunnan Institute of Forest Inventory and Planning,Kunming 650021,China;Yunnan Institute of Forest Inventory and Planning,Kunming 650051,China)
机构地区:[1]云南省林业调查规划院营林分院,云南昆明650021 [2]云南省林业调查规划院,云南昆明650051
出 处:《林业调查规划》2024年第5期1-6,共6页Forest Inventory and Planning
基 金:云南省林业和草原局“云南省“十四五”林业数表适用性检验与修编财政资金支持项目”;云南省科技厅2023年第二批科技成果转化专项资金(530000231100001753720)。
摘 要:在滇西北调查高山松样木总株数862株,有效样木824株,系统抽取建模样木618株,检验样木206株。选用10种一元线性或非线性回归方程,拟合各胸径D与根径DR模型参数,并进行了适用性检验。结果表明,模型D=-2.710599+0.938673DR-0.000911DR^(2),离差平方和(SSR)值相对较小、总相对误差(RS)为0、相关系数(R^(2))0.987、预估精度99.44%,残差图以横轴为中心分布最为均匀随机,模型参数变动系数最大值为32.3%,说明模型稳定。检验样本实测值和估计值没有显著差异,该模型最优。A total of 862 Pinus densata sample trees were surveyed in northwest Yunnan,including 824 effective sample trees.618 modeling sample trees were systematically extracted,and 206 inspection sample trees were tested.10 univariate linear or nonlinear regression equations were selected to fit the model parameters of breast height diameter D and root diameter DR,and their applicability was tested.The results showed that the model D=-2.710599+0.938673 DR-0.000911 DR^(2) had a relatively small sum of squared deviations(SSR)value,a total relative error(RS)of 0,a correlation coefficient(R^(2))of 0.987,an estimation accuracy of 99.44%,the residual plot was most uniformly and randomly distributed around the horizontal axis,and the maximum coefficient of variation of model parameters was 32.3%,indicating the stability of the model.There was no significant difference between the measured and estimated values of the test sample,indicating that the model was optimal.
分 类 号:S791.222[农业科学—林木遗传育种] S758.55[农业科学—林学] S711
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