Canadian Forest Service Publications

Wood Quality Attribute Models and their Utility when Integrated into Density Management Decision-Support Systems for Boreal Conifers. 2019. Newton, P.F. Forest Ecology and Management 438: 267-284.

Year: 2019

Available from: Great Lakes Forestry Centre

Catalog ID: 39644

Language: English

CFS Availability: PDF (download)

Available from the Journal's Web site.
DOI: 10.1016/j.foreco.2019.01.053

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Plain Language Summary

Successful transition from a volumetric yield maximization proposition to one based on maximizing product value within the Canadian forest sector is partially dependent on the provision of innovative tools that incorporate consideration of the principal determinates which underlie end-product potential (e.g., internal wood fibre attributes). For jack pine, an intensely-managed and commercially-important boreal species, this study developed, parameterized and evaluated a suite of statistical models for predicting size-dependent temporal developmental trajectories for a suite of end-product drivers (wood density, microfibril angle, modulus of elasticity, fibre coarseness, tracheid wall thickness, tracheid radial diameter, tracheid tangential diameters and specific surface area). The jack pine equations along with those previously developed for black spruce, when integrated into a decision support system for forest management, resulted in an enhanced platform for evaluating fibre attribute outcomes for selected crop plans. Collectively, these models represent an incremental advancement over traditional volumetric-based projection systems in that they can contribute to facilitating the paradigm shift towards value-based management for these commercial-important boreal species.

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Wood Quality Attribute Models and their Utility when Integrated into Density Management Decision-Support Systems for Boreal Conifers
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