Modelling site site index of Chinese fir plantations using a random effects model across regional site types in Hunan province, China

doi:10.1016/j.foreco.2019.05.039

GSTDTAP > 气候变化

DOI	10.1016/j.foreco.2019.05.039
	Modelling site site index of Chinese fir plantations using a random effects model across regional site types in Hunan province, China
	Zhu, Guangyu 1,2; Hu, Song 1; Chhin, Sophan 3; Zhang, Xiongqing 4; He, Peng 5
	2019-08-15
发表期刊	FOREST ECOLOGY AND MANAGEMENT
ISSN	0378-1127
EISSN	1872-7042
出版年	2019
卷号	446 页码:143-150
文章类型	Article
语种	英语
国家	Peoples R China; USA
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 (R-2 ranged from 0.3850 to 0.4977). Although the models performed poorly, the best base model (M4) was selected (R-2 = 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 R-2 values had improved from 0.3850 similar to 0.4977 to 0.5132 similar to 0.9018, and the model with combined site type (110 levels) performed best (R-2 = 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 (R-2 = 0.9268). The results have practical utility and guidelines for regional level forest productivity estimation.
英文关键词	Chinese fir Site effect Site type Polymorphic site index model Nonlinear mixed model
领域	气候变化
收录类别	SCI-E
WOS记录号	WOS:000473376700015
WOS关键词	DOMINANT HEIGHT GROWTH ; SPRUCE PICEA-SITCHENSIS ; MIXED-EFFECTS MODEL ; PINUS-SYLVESTRIS ; ENVIRONMENTAL-FACTORS ; ECOLOGICAL VARIABLES ; NORWAY SPRUCE ; 3-PG MODEL ; L. ; PRODUCTIVITY
WOS类目	Forestry
WOS研究方向	Forestry
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/185981
专题	气候变化
作者单位	1.Cent South Univ Forest & Technol, Coll Forestry, Changsha 410004, Hunan, Peoples R China; 2.Key Lab State Forestry Adm Forest Resources Manag, Changsha 410004, Hunan, Peoples R China; 3.West Virginia Univ, Div Forestry & Nat Resources, 322 Percival Hall,POB 6125, Morgantown, WV 26506 USA; 4.Chinese Acad Forestry, Res Inst Forestry, Beijing 100091, Peoples R China; 5.Natl Forestry & Grassland Adm, Cent South Inventory & Planning Inst, Changsha 410004, Hunan, Peoples R China
推荐引用方式 GB/T 7714	Zhu, Guangyu,Hu, Song,Chhin, Sophan,et al. Modelling site site index of Chinese fir plantations using a random effects model across regional site types in Hunan province, China[J]. FOREST ECOLOGY AND MANAGEMENT,2019,446:143-150.
APA	Zhu, Guangyu,Hu, Song,Chhin, Sophan,Zhang, Xiongqing,&He, Peng.(2019).Modelling site site index of Chinese fir plantations using a random effects model across regional site types in Hunan province, China.FOREST ECOLOGY AND MANAGEMENT,446,143-150.
MLA	Zhu, Guangyu,et al."Modelling site 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):143-150.