气候变化领域集成服务门户(CCPortal): Modelling site index of Chinese fir plantations using a random effects model across regional site types in Hunan province, China

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DOI	10.1016/j.foreco.2019.05.039
	Modelling site index of Chinese fir plantations using a random effects model across regional site types in Hunan province, China
	Zhu G.; Hu S.; Chhin S.; Zhang X.; He P.
发表日期	2019
ISSN	0378-1127
起始页码	143
结束页码	150
卷号	446
英文摘要	Site index is a popular method used for assessing site productivity. Based on sampling of 418 plots of Chinese fir (Cunninghamia lanceolata) across Hunan province, China, a site index model of this species in relation to site type as a random effect was developed. First, site factors (topography) influencing stand dominant height were screened as main factors through one-way ANOVA analysis. The results showed that elevation was the most significant factor, followed by soil type, aspect, and slope. Second, ten widely base models were developed, and found that these models performed poorly (R2 ranged from 0.3850 to 0.4977). Although the models performed poorly, the best base model (M4) was selected (R2 = 0.4977). Considering the influence of site factors on the site index curve, the different site factors and its combination as a random effect were simulated by nonlinear mixed-effect approach. The R2 values had improved from 0.3850 ∼ 0.4977 to 0.5132 ∼ 0.9018, and the model with combined site type (110 levels) performed best (R2 = 0.9018). K-means cluster method was used to cluster the 110 site types into 8 site type groups, and then a mixed-effects model with random effect of site type groups was developed and resulted in improved model performance (R2 = 0.9268). The results have practical utility and guidelines for regional level forest productivity estimation. © 2019
英文关键词	Chinese fir; Nonlinear mixed model; Polymorphic site index model; Site effect; Site type
语种	英语
scopus关键词	Forestry; K-means clustering; Productivity; Topography; Chinese fir; Nonlinear mixed model; Polymorphic sites; Site effects; Site types; Random processes; coniferous tree; ecological modeling; forest ecosystem; site effect; site index; Forestry; Models; Productivity; Random Processes; Site Index; Topography; Type; China; Hunan; Cunninghamia lanceolata
来源期刊	Forest Ecology and Management
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/155939
作者单位	Forestry College, Central South University of Forest & Technology, Changsha, 410004, China; Key Laboratory of State Forestry Administration on Forest Resources Management and Monitoring in Southern Area, Changsha, 410004, China; Division of Forestry and Natural Resources, West Virginia University, 322 Percival Hall, PO Box 6125, Morgantown, WV 26506, United States; Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China; Central South Inventory and Planning Institute of National Forestry and Grassland Administration, Changsha, 410004, China
推荐引用方式 GB/T 7714	Zhu G.,Hu S.,Chhin S.,et al. Modelling site index of Chinese fir plantations using a random effects model across regional site types in Hunan province, China[J],2019,446.
APA	Zhu G.,Hu S.,Chhin S.,Zhang X.,&He P..(2019).Modelling site index of Chinese fir plantations using a random effects model across regional site types in Hunan province, China.Forest Ecology and Management,446.
MLA	Zhu G.,et al."Modelling site index of Chinese fir plantations using a random effects model across regional site types in Hunan province, China".Forest Ecology and Management 446(2019).