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Modelling Individual Tree Diameter Growth of Quercus mongolica Secondary Forest in the Northeast of China  ( SCI-EXPANDED收录)   被引量:6

文献类型:期刊文献

英文题名:Modelling Individual Tree Diameter Growth of Quercus mongolica Secondary Forest in the Northeast of China

作者:Hu, Xuefan[1,2] Duan, Guangshuang[3] Zhang, Huiru[1]

第一作者:Hu, Xuefan

通信作者:Zhang, HR[1]

机构:[1]Chinese Acad Forestry, Res Inst Forest Resources Informat Tech, Beijing 100091, Peoples R China;[2]Beijing Bot Garden, Beijing 100093, Peoples R China;[3]Xinyang Normal Univ, Sch Math & Stat, Xinyang 464000, Peoples R China

年份:2021

卷号:13

期号:8

外文期刊名:SUSTAINABILITY

收录:;Scopus(收录号:2-s2.0-85105016362);WOS:【SSCI(收录号:WOS:000645335300001),SCI-EXPANDED(收录号:WOS:000645335300001)】;

基金:This work was supported by Fundamental Research Funds for the Central Non-profit Research Institution of CAF (CAFYBB2018ZB001-9) and scientific and technological project of Henan province (No.202102110227).

语种:英文

外文关键词:Quercus mongolica secondary forest; diameter growth model; two level mixed-effects model; random effects

摘要:Quercus mongolica secondary forest is widely distributed in the northeast of China, but it usually has low productivity, unstable structure, poor health, and low biodiversity. Diameter is a tree variable that is commonly used for forest growth measurement, to provide the basis for forest management decision. Two level generalized linear mixed effects individual tree diameter growth model were developed using data from two times surveys of 12 Q. mongolica secondary forest permanent plots that were distributed among Wangqing forest farms. Random effects of 14 tree species and 12 plots were introduced into the basic model consisting of three factors: tree size, competition of surrounding trees, and site quality. The results showed that initial diameter at breast height(DBH) was the most important variable affecting diameter growth, followed by competition, while the effect of site quality on diameter growth was not significant. Compared with the basic model, the prediction accuracy of the mixed effect model was improved by 17.69 %, where R-2 reached to 0.6805, indicating that it is suitable for the individual-tree diameter growth prediction of the secondary forest of Q. mongolica.

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