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新疆天然天山云杉林树高-胸径模型

Tree Height-DBH Growth Model of Picea schrenkiana in Tianshan Mountains of Xinjiang

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为深入研究新疆天山云杉的胸径与树高之间的生长模型,填补相关研究空白,并为天山云杉林分的生长预测及生产经营管理提供有用的参考依据.本研究以天山云杉为研究对象,利用30块样方,每块大小为25 m×25 m天山云杉林调查数据,通过选用34种生长方程来构建天山云杉树高-胸径生长模型发现,研究表明逻辑斯蒂模型H2表达式为H=1.3+a/(1+b-1D-c)和混合模型表达式为H=1.3+1/(a+bD-c)拟合效果最佳,调整后的R2为0.862,RMSE为4.768 m,MAE为3.625 m,SSE为10 839.76 m.此外,本研究引入海拔和坡度最为随机效应,构建了非线性混合效应模型,对比AIC、BIC和对数似然值发现基于海拔的非线性混合效应模型效果较优,具有更高的预测精度.
In order to further study the growth model between DBH and tree height of Picea schernkiana in Xinjiang,fill the gap in related research,and provide a useful reference for the growth prediction and production and management of P.schernkiana stand.In this paper,30 quadrats,each with a size of 25 m×25 m,were used to construct the tree height-DBH growth model of Tianshan spruce by selecting 34 kinds of growth equations,and it was found that the Logistic H2 model H=1.3+a/(l+b-1D-c)and the Mixed model H=1.3+a/(1+b-1D-c)had the best fitting effect.The adjus-ted R2 was 0.862 m,the RMSE was 4.768 m,the MAE was 3.625 m,and the SSE was 10,839.76 m.In addition,a nonlin-ear mixed-effect model was constructed by adding the most random effects of altitude and slope in this study,and com-pared with AIC,BIC and log-likelihood values,it was found that the nonlinear mixed-effect model based on altitude had better than effect and higher prediction accuracy.

spruce natural foreststree height-DBH growth modelNonlinear mixed-effects modelTianshan Mountains of Xinjiang

石宇晶、龚丽春、魏健新、杨秋丽、巴比尔江·迪力夏提

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新疆大学地理与遥感科学学院 乌鲁木齐 830017

新疆激光雷达应用工程技术研究中心 乌鲁木齐 830002

新疆维吾尔自治区自然资源信息中心(新疆维吾尔自治区自然资源档案馆)乌鲁木齐 830002

云杉天然林 立地因子 树高-胸径生长模型 非线性混合效应模型 新疆天山

2024

湖北林业科技
湖北省林业科学研究院

湖北林业科技

影响因子:0.398
ISSN:1004-3020
年,卷(期):2024.53(6)