文献类型：期刊文献

英文题名：A Hierarchical Bayesian Model to Predict Self-Thinning Line for Chinese Fir in Southern China

作者：Zhang, Xiongqing[1,2] Zhang, Jianguo[1,2] Duan, Aiguo[1,2]

第一作者：张雄清;Zhang, Xiongqing

通信作者：Zhang, JG[1]

机构：[1]Chinese Acad Forestry, State Key Lab Tree Genet & Breeding, Key Lab Tree Breeding & Cultivat State Forestry A, Res Inst Forestry, Beijing 100091, Peoples R China;[2]Nanjing Forestry Univ, Collaborat Innovat Ctr Sustainable Forestry South, Nanjing 210037, Jiangsu, Peoples R China

年份：2015

卷号：10

期号：10

外文期刊名：PLOS ONE

收录：;Scopus(收录号：2-s2.0-84947805918);WOS:【SCI-EXPANDED(收录号:WOS:000362510300055)】；

基金：The study was supported by the special fund of Chinese Academy of Forestry (CAFYBB2014QB002), the National Natural Science Foundation of China (No. 31300537), and the Research Institute of Forestry, Chinese Academy of Forestry for fund for Young Scholars (No. RIF2013-09).

语种：英文

摘要：Self-thinning is a dynamic equilibrium between forest growth and mortality at full site occupancy. Parameters of the self-thinning lines are often confounded by differences across various stand and site conditions. For overcoming the problem of hierarchical and repeated measures, we used hierarchical Bayesian method to estimate the self-thinning line. The results showed that the self-thinning line for Chinese fir (Cunninghamia lanceolata (Lamb.) Hook.) plantations was not sensitive to the initial planting density. The uncertainty of model predictions was mostly due to within-subject variability. The simulation precision of hierarchical Bayesian method was better than that of stochastic frontier function (SFF). Hierarchical Bayesian method provided a reasonable explanation of the impact of other variables (site quality, soil type, aspect, etc.) on self-thinning line, which gave us the posterior distribution of parameters of self-thinning line. The research of self-thinning relationship could be benefit from the use of hierarchical Bayesian method.