DOI: 10.1016/j.foreco.2013.01.030
Scopus记录号: 2-s2.0-84874539198
论文题名: Predicting deadwood densities of Cryptomeria japonica and Chamaecyparis obtusa forests using a generalized linear mixed model with a national-scale dataset
作者: Sakai Y. ; Ishizuka S. ; Takenaka C.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2013
卷: 295 起始页码: 228
结束页码: 238
语种: 英语
英文关键词: Carbon pool
; Deadwood
; Generalized linear mixed model
; Initial wood density
; Noncommercial thinning
; Principal component analysis
Scopus关键词: Carbon pool
; Deadwood
; Generalized linear mixed models
; Noncommercial thinning
; Wood density
; Biodiversity
; Carbon
; Hardwoods
; Principal component analysis
; Forestry
; biodiversity
; coniferous forest
; data set
; forest ecosystem
; forest management
; habitat conservation
; nutrient cycling
; prediction
; principal component analysis
; thinning
; Biodiversity
; Carbon
; Data Processing
; Dead Wood
; Hardwoods
; Japan
; Linear Programing
; Mathematical Models
; Thinning
; Wood Density
英文摘要: Predicting the stocks of deadwood in planted stands is important for controlling biodiversity, carbon content, and nutrient cycling in forest ecosystems and for managing deadwood accumulation because of conservation activities for biodiversity and economic reasons. To calculate the carbon stock in deadwood, the volume, carbon content, and appropriate wood density for the decomposition state must be known. To develop a predictive model for estimating deadwood density, we used a generalized linear mixed model and a national-scale dataset with large variations in different deadwood factors related to wood properties and climatic conditions. Our samples of fallen logs were obtained by noncommercial thinning of Cryptomeria japonica D. Don (C. japonica) and Chamaecyparis obtusa (Sieb. et Zucc.) Endl. (C. obtusa) planted forests throughout Japan, covering various climatic conditions. The wood density model for C. japonica was Dw=0.342-0.010y-0.001d+0.001Sa+0.012C-0.028F c1-0.006 F c2+re and that for C. obtusa was Dw=0.431-0.015y-0.001d+re, where d is the diameter, Sa is the stand age, C is contact with the forest floor, F c1 and F c2 are the climatic factors, and y is the years since death with random site effect re. F c1 and F c2 are the principal component scores showing Japanese climatic characteristics that were calculated through principal component analysis using temperature, precipitation, and snow depth data. The negligible variance in the random site effect for both tree species suggested that the models could be applied to other sites. In this study, our models showed accurate predictions of deadwood densities comparable to single exponential decay models, as shown by values for root-mean-square error and root-mean-square relative error. © 2013 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/66675
Appears in Collections: 影响、适应和脆弱性
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作者单位: Department of Forest Site Environment, Forestry and Forest Products Research Institute, 1 Matsunosato, Tsukuba-shi, Ibaraki 305-8687, Japan; Kyushu Research Center, Forestry and Forest Products Research Institute, 4-11-16 Kurokami, Chuo-ku, Kumamoto 860-0862, Japan; Department of Biosphere Resources Science, Graduate School of Bioagricultural Sciences, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8601, Japan
Recommended Citation:
Sakai Y.,Ishizuka S.,Takenaka C.. Predicting deadwood densities of Cryptomeria japonica and Chamaecyparis obtusa forests using a generalized linear mixed model with a national-scale dataset[J]. Forest Ecology and Management,2013-01-01,295