气候变化领域集成服务门户(CCPortal): Assessing the impact of fine-scale structure on predicting wood fibre attributes of boreal conifer trees and forest plots

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DOI	10.1016/j.foreco.2020.118624
	Assessing the impact of fine-scale structure on predicting wood fibre attributes of boreal conifer trees and forest plots
	Côté J.-F.; Luther J.E.; Lenz P.; Fournier R.A.; van Lier O.R.
发表日期	2021
ISSN	0378-1127
卷号	479
英文摘要	Information about wood fibre attributes (WFA) is important for optimizing forest resource management and increasing the competitiveness of the sector. Many factors influence WFA at both the plot (e.g., age, stand density, climate, and disturbance) and tree (e.g., crown development, stem shape, branchiness) levels. Recently, the use of terrestrial lidar (t-lidar) systems in forest inventory has enabled the measurement of forest structural attributes, which were almost impossible to acquire with traditional field measurements. Using t-lidar scans of individual trees and the architectural model L-Architect, we reconstructed the structure of trees and plots comprising balsam fir and black spruce in insular Newfoundland, Canada. Core samples extracted from concomitant trees were analyzed for a series of nine WFA. The impact of fine-scale structure on predictive models of WFA was assessed with parametric and non-parametric approaches. A variable importance analysis demonstrated that structural attributes derived from L-Architect describing the tree crown geometry, branching structure, stem form, spatial competition and canopy material distribution were highly important in the resulting models. The cross-validated percentage of variance explained for the WFA predictive models ranged from 12–56% and 5–80% at tree- and plot-levels respectively. The addition of fine-scale structure improved the models by 10–31% and 0–53% when compared to models developed using only in situ measurements at tree- and plot-levels respectively. Information on species (at tree level) and composition (at plot level) did not improve the predictive capability of models developed with L-Architect fine-scale structure. The results indicate that better characterisation of forest structure using t-lidar and an architectural model can lead to improved WFA prediction and their combination opens opportunities to significantly enhance forest inventory. © 2020
英文关键词	3D architectural model; Plot structure; Terrestrial LiDAR; Tree structure; Wood fibre attribute
语种	英语
scopus关键词	Architecture; Information management; Optical radar; Predictive analytics; Wood; Architectural modeling; Fine-scale structures; Forest resource managements; Forest structural attributes; Material distribution; Newfoundland , Canada; Parametric and non-parametric approaches; Predictive capabilities; Forestry; canopy; competitiveness; coniferous tree; forest inventory; forest resource; lidar; resource management; Abies Lasiocarpa; Forestry; Impact; Models; Picea Mariana; Properties; Trees; Wood; Canada; Newfoundland; Newfoundland and Labrador; Abies balsamea; Coniferophyta; Picea mariana
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/154876
作者单位	Natural Resources Canada, Canadian Forest Service – Canadian Wood Fibre Centre, Québec, QC G1V 4C7, Canada; Natural Resources Canada, Canadian Forest Service – Atlantic Forestry Centre, Corner Brook, NL A2H 6J3, Canada; Department of Applied Geomatics, Centre d'Applications et de Recherche en TELédétection, Université de Sherbrooke, Sherbrooke, QC J1K 2R1, Canada; Natural Resources Canada, Canadian Forest Service – Canadian Wood Fibre Centre, Corner Brook, NL A2H 6J3, Canada
推荐引用方式 GB/T 7714	Côté J.-F.,Luther J.E.,Lenz P.,et al. Assessing the impact of fine-scale structure on predicting wood fibre attributes of boreal conifer trees and forest plots[J],2021,479.
APA	Côté J.-F.,Luther J.E.,Lenz P.,Fournier R.A.,&van Lier O.R..(2021).Assessing the impact of fine-scale structure on predicting wood fibre attributes of boreal conifer trees and forest plots.Forest Ecology and Management,479.
MLA	Côté J.-F.,et al."Assessing the impact of fine-scale structure on predicting wood fibre attributes of boreal conifer trees and forest plots".Forest Ecology and Management 479(2021).