杉木人工林林分断面积生长模型的贝叶斯法估计

以江西杉木人工林为例，以Korf型、Richards型和Hossfeld型3种模型为基础，通过广义代数差分法（GADA）分别建立杉木林分断面积生长模型。结果表明：以Richards型为基础的杉木林分断面积预测精度最高，以Richards型模型为最优模型，分别基于贝叶斯法和传统法（非线性最小二乘法）估计杉木林分断面积生长模型。研究发现，利用贝叶斯法估计杉木林分断面积生长模型，预测精度相当且预测值的可靠性比传统法好。...

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Bibliographic Details
Published in林业科学研究 Vol. 28; no. 4; pp. 538 - 542
Main Author 张雄清 张建国 段爱国
Format Journal Article
LanguageChinese
Published 南京林业大学南方现代林业协同创新中心,江苏南京210037 2015
中国林业科学研究院林业研究所,国家林业局林木培育重点实验室,北京100091
Subjects
传统法
杉木
林分断面积
贝叶斯法
Cunninghamia lanceolata
贝叶斯法
杉木
Bayesian method
林分断面积
stand basal area
Chinese fir
传统法
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ISSN1001-1498

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Summary:以江西杉木人工林为例，以Korf型、Richards型和Hossfeld型3种模型为基础，通过广义代数差分法（GADA）分别建立杉木林分断面积生长模型。结果表明：以Richards型为基础的杉木林分断面积预测精度最高，以Richards型模型为最优模型，分别基于贝叶斯法和传统法（非线性最小二乘法）估计杉木林分断面积生长模型。研究发现，利用贝叶斯法估计杉木林分断面积生长模型，预测精度相当且预测值的可靠性比传统法好。
Bibliography:11-1221/S
ZHANG Xiong-qong , ZHANG Jian-guo , DUAN Ai-guo （1. Key Laboratory of Tree Breeding and Cultivation, State Forestry Administration Research Institute of Forestry, Chinese Academy of Forestry; Beijing 10009] , China;2. Collaborative Innovation Center of Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, Jiangsu, China）
Bayesian method, stand basal area, Chinese fir, Cunninghamia lanceolata
Chinese fir （ Cunninghamia lanceolata （ Lamb. ） Hook. ）, an endemic tree species in China＇ s subtropi- cal area, is one of the most important fast-growing tree species for timber production in southern China. Based on the periodic data of the Chinese fir in Jiangxi province, three stand basal area models （ Korf-based model, Richards - based model, and Hossfeld-based model） were developed using generalized algebraic difference approach （ GA- DA）. The results showed that Richards-based model was the best for modeling the stand basal area of Chinese fir in the study. Additionally, Bayesi
ISSN:1001-1498