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新疆天然天山云杉林树高-胸径模型

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