Modelling Individual Tree Diameter Growth of Quercus mongolica Secondary Forest in the Northeast of China
Xuefan Hu,
Guangshuang Duan and
Huiru Zhang
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Xuefan Hu: Research Institute of Forest Resources Information Techniques, Chinese Academy of Forestry, Beijing 100091, China
Guangshuang Duan: School of Mathematics and Statistics, Xinyang Normal University, Xinyang 464000, China
Huiru Zhang: Research Institute of Forest Resources Information Techniques, Chinese Academy of Forestry, Beijing 100091, China
Sustainability, 2021, vol. 13, issue 8, 1-15
Abstract:
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 .
Keywords: Quercus mongolica secondary forest; diameter growth model; two level mixed-effects model; random effects (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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