globalchange  > 影响、适应和脆弱性
DOI: 10.1016/j.foreco.2016.12.034
Scopus记录号: 2-s2.0-85009821263
论文题名:
A generalized interregional nonlinear mixed-effects crown width model for Prince Rupprecht larch in northern China
作者: Fu L.; Sharma R.P.; Hao K.; Tang S.
刊名: Forest Ecology and Management
ISSN:  0378-1127
出版年: 2017
卷: 389
起始页码: 364
结束页码: 373
语种: 英语
英文关键词: Crown width ; Interregional effects ; Optimal sample size ; Random effects ; Two-level mixed-effects model
Scopus关键词: Decision support systems ; Random processes ; Crown width ; Interregional effects ; Mixed effects models ; Optimal samples ; Random effects ; Forestry ; accuracy assessment ; coniferous tree ; correlation ; decision support system ; growth rate ; numerical model ; stand dynamics ; China ; Larix gmelinii var. principis-rupprechtii
英文摘要: Crown width is a tree variable that is commonly used as an important predictor in forest growth and yield models that serve as decision-support tools in forestry. Here, we developed a generalized interregional nonlinear mixed-effects individual tree crown width model using data from 3369 Prince Rupprecht larch (Larix principis-rupprechtii Mayr.) trees on 116 sample plots that were distributed across the two most important regions in northern China. Because measurements from the same sample plot were highly correlated with each other, random effects at the levels of both sample plots and stands with different site conditions (blocks) were used to develop a two-level nonlinear mixed-effects crown width model. To describe the interregional variability of crown width between the regions, a dummy variable, which accounts for region-specific differences, was introduced into the model. The results showed that the two-level interregional nonlinear mixed-effects crown width model accurately described the regional variability of crown width for Prince Rupprecht larch in northern China. Modeling the random effects at the block level alone led to significantly high correlations among the residuals. However, these correlations decreased significantly when the random effects were modeled at both the block and sample plot levels. Measuring the crown width of four randomly selected Prince Rupprecht larch trees per sample plot is recommended for localizing the mixed-effects crown width model and precisely predicting the crown widths of the remaining trees on each plot. © 2017 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/64496
Appears in Collections:影响、适应和脆弱性

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作者单位: Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, China; Center for Statistical Genetics, Pennsylvania State University, Loc T3436, Mail Code CH69, 500 University Drive, Hershey, PA, United States; Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Czech Republic; Shanxi Academy of Forestry Sciences, Taiyuan, Shanxi, China

Recommended Citation:
Fu L.,Sharma R.P.,Hao K.,et al. A generalized interregional nonlinear mixed-effects crown width model for Prince Rupprecht larch in northern China[J]. Forest Ecology and Management,2017-01-01,389
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