文献类型：期刊文献

英文题名：Modelling tree height-diameter allometry of Chinese fir in relation to stand and climate variables through Bayesian model averaging approach

作者：Lu, Lele[1,2] Chhin, Sophan[3] Zhang, Jianguo[1] Zhang, Xiongqing[1,2]

第一作者：Lu, Lele

通信作者：Zhang, XQ[1];Zhang, XQ[2]

机构：[1]Chinese Acad Forestry, Res Inst Forestry, Key Lab Tree Breeding & Cultivat, Natl Forestry & Grassland Adm, Beijing 100091, Peoples R China;[2]Nanjing Forestry Univ, Collaborat Innovat Ctr Sustainable Forestry South, Nanjing 210037, Peoples R China;[3]West Virginia Univ, Div Forestry & Nat Resources, 322 Percival Hall,1145 Evansdale Dr, Morgantown, WV 26506 USA

年份：2021

卷号：55

期号：2

外文期刊名：SILVA FENNICA

收录：;EI(收录号：20211810281926);Scopus(收录号：2-s2.0-85105765539);WOS:【SCI-EXPANDED(收录号:WOS:000652826400002)】；

基金：The study was supported by the National Natural Science Foundation of China (No. 31670634, 31971645) and the Young Elite Scientists Sponsorship Program of the National Forestry and Grassland Administration (2019132605). The authors also would like to thank Dr. Aiguo Duan for the field work.

语种：英文

外文关键词：Cunninghamia lanceolata; Bayesian model averaging; height-diameter allometry; stand and climate variables; stepwise regression

摘要：Tree height-diameter allometry reflects the response of specific species to above and belowground resource allocation patterns. However, traditional methods (e.g. stepwise regression (SR)) may ignore model uncertainty during the variable selection process. In this study, 450 trees of Chinese fir (Cunninghamia lanceolata (Lamb.) Hook.) grown at five spacings were used. We explored the height-diameter allometry in relation to stand and climate variables through Bayesian model averaging (BMA) and identifying the contributions of these variables to the allometry, as well as comparing with the SR method. Results showed the SR model was equal to the model with the third highest posterior probability of the BMA models. Although parameter estimates from the SR method were similar to BMA, BMA produced estimates with slightly narrower 95% intervals. Heights increased with increasing planting density, dominant height, and mean annual temperature, but decreased with increasing stand basal area and summer mean maximum temperature. The results indicated that temperature was the dominant climate variable shaping the height-diameter allometry for Chinese fir plantations. While the SR model included the mean coldest month temperature and winter mean minimum temperature, these variables were excluded in BMA, which indicated that redundant variables can be removed through BMA.