DOI: 10.1016/j.foreco.2013.10.030
Scopus记录号: 2-s2.0-84891735747
论文题名: Modeling wood fiber attributes using forest inventory and environmental data for Newfoundland's boreal forest
作者: Lessard E. ; Fournier R.A. ; Luther J.E. ; Mazerolle M.J. ; van Lier O.R.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2014
卷: 313 起始页码: 307
结束页码: 318
语种: 英语
英文关键词: Akaike's information criterion
; Environmental drivers
; Landscape mapping
; Multimodel inference
; Spatial analysis
; Wood fiber attributes
Scopus关键词: Akaike's information criterions
; Explanatory variables
; Multi-model inference
; Newfoundland , Canada
; Pre-commercial thinning
; Root mean square errors
; Spatial analysis
; Wood fiber
; Forecasting
; Forestry
; Mapping
; Mean square error
; Wood products
; Fibers
; boreal forest
; commercial species
; density
; elasticity
; forest inventory
; growing season
; landscape
; modeling
; spatial analysis
; thinning
; vegetation structure
; Forestry
; Information Retrieval
; Mapping
; Wood Fibers
; Wood Products
; Canada
; Newfoundland
; Newfoundland and Labrador
; Abies
; Abies balsamea
; Picea mariana
英文摘要: We explore the possibility of predicting wood fiber attributes across Newfoundland for two commercial species: black spruce (Picea mariana (Mill.) B.S.P.) and balsam fir (Abies balsamea (L.) Mill.). Estimates of key fiber attributes (including wood density, coarseness, fiber length, and modulus of elasticity) were derived from measurements of wood cores taken from sample plots representing a wide structural gradient of forest stands. Candidate models for predicting fiber attributes at plot and landscape scales were developed using an information-theoretical approach and compared based on Akaike's information criterion. The most influential variables were stand age and the presence of precommercial thinning. Other significant explanatory variables included those that characterize vegetation structure (mean diameter at breast height, dominant height), climate (annual precipitation, mean temperature of the growing season), and geography (elevation, latitude) depending on the species and fiber attribute being modeled. At the plot level, model inference gave root mean square errors of 5.3-11.9% for all attributes. At the landscape level, prediction errors were similar (5.4-12.1%), with the added benefit of being suitable for mapping fiber attributes across the landscape. The results obtained demonstrate the potential for predicting and mapping fiber attributes over a large region of boreal forest in Newfoundland, Canada. © 2013 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/66184
Appears in Collections: 影响、适应和脆弱性
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作者单位: Centre d'Applications et de Recherches en Télédétection (CARTEL), Département de géomatique appliquée, Université de Sherbrooke, Sherbrooke, QC J1K 2R1, Canada; Natural Resources Canada, Canadian Forest Service - Atlantic Forestry Centre, University Drive, P.O. Box 960, Corner Brook, NL A2H 6J3, Canada; Centre d'étude de la forêt, Université du Québec en Abitibi-Témiscamingue, Rouyn-Noranda, QC J9X 5E9, Canada; Natural Resources Canada, Canadian Forest Service - Canadian Wood Fibre Centre, University Drive, P.O. Box 960, Corner Brook, NL A2H 6J3, Canada
Recommended Citation:
Lessard E.,Fournier R.A.,Luther J.E.,et al. Modeling wood fiber attributes using forest inventory and environmental data for Newfoundland's boreal forest[J]. Forest Ecology and Management,2014-01-01,313