A decision-support system for forest density management within upland black spruce stand-types

Newton, Peter F.

doi:10.1016/j.envsoft.2012.02.019

Cited by 39 publications

(54 citation statements)

References 45 publications

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“…The observed response to age 30 of tree size and cumulative mortality to density variation quantified in model form in this study contrasts sharply with responses predicted by a stand density management model calibrated with data from managed upland black spruce stands (Newton 2012;model predictions provided by PF Newton, Research Scientist, Canadian Forest Service, February 2016). For the range of nominal initial stem densities in this study (640 to 6400 stems ha -1 ), the range in mean volume per tree at age 30 in the model predictions (46.5 to 37.0 dm 3 , respectively) was only 16% of the range in the observations (78.9 to 20.3 dm 3 , respectively).…”

Section: Discussioncontrasting

confidence: 44%

Effects of initial planting density on tree and stand development of planted black spruce up to age 30

GrootArthur

CortiniFrancesco

2016

The Forestry Chronicle

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The effect of initial planting density on tree and stand development was investigated for a 30 year old black spruce plantation in northeastern Ontario. The data came from upland and transitional peatland sites where black spruce (Picea mariana (Mill.) B.S.P.) was planted at inter-tree spacings ranging between 1.25 and 4.00 m. A modified Chapman-Richards function was fit to observations of top height, total volume, basal area, quadratic mean diameter and cumulative stem mortality in relation to initial planting density, stand age and site quality. With the exception of mortality, the fitted models accounted for most of the variation in the response variables. Total volume and basal area increased strongly with initial planting density, whereas quadratic mean diameter decreased. The results quantify the tradeoff between stand volume and individual tree size to age 30, which will help forest managers make better decisions about initial planting density for black spruce plantations on similar sites.Key words: black spruce; initial planting density; tree and stand development; top height; stand volume; stand basal area; mortality; site quality RÉSUMÉCette étude s' est intéressée à l' effet de la densité initiale de plantation sur la croissance des arbres et du peuplement dans le cas de plantations d' épinette noire de 30 ans située dans le nord-est de l'Ontario. Les données viennent de plantations d' épi-nette noire (Picea mariana (Mill.) B.S.P.) où les semis étaient plantés à un intervalle de 1,25 à 4,00 m sur des terres hautes et dans les zones de transition de tourbières. Le modèle modifié de croissance de Chapman-Richards a été adapté pour traiter les données de hauteur maximale, de volume total, de surface terrière, de diamètre moyen quadratique et de mortalité cumulative des tiges en fonction de la densité initiale de plantation, de l'âge du peuplement et de la qualité de la station. À l' exception de la mortalité, les modèles modifiés reflétaient bien la majeure partie de la variation des variables mesurées. Le volume total et la surface terrière ont augmenté fortement avec la densité initiale de plantation, tandis que le diamètre moyen quadratique a diminué. Les résultats permettent de quantifier les compromis à faire entre le volume du peuplement et la taille individuelle des arbres âgés de 30 ans, ce qui devrait aider les aménagistes forestiers à prendre les meilleures décisions quant à la densité initiale de plantation pour l' épinette noire sur des stations semblables.Mots clés : épinette noire, densité initiale de plantation, développement des arbres et du peuplement, hauteur maximale, volume du peuplement, surface terrière du peuplement, mortalité, qualité de station

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Section: Discussioncontrasting

confidence: 44%

Effects of initial planting density on tree and stand development of planted black spruce up to age 30

GrootArthur

CortiniFrancesco

2016

The Forestry Chronicle

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“…Operationally, this transitional shift has generated a renewed focus on deploying intensive silvicultural-based crop plans that can result in improvements in wood quality and the production of a more diverse stream of end-products throughout the rotation [4]. Such a representative crop plan would consist of species, genotype and initial spacing control via plantation establishment of genetically-improved stock on well-prepared (scarified) sites followed by early vegetation management treatments and subsequent maintenance of optimal site occupancy levels through density management treatments (e.g., precommercial and commercial thinning; [5]). Transitioning to a value-based management paradigm also requires improved operational intelligence for decision-making, particularly in relation to segregation and merchandising efficiency within the upstream portion of the forest products supply chain.…”

Section: Introductionmentioning

confidence: 99%

Acoustic-Based Non-Destructive Estimation of Wood Quality Attributes within Standing Red Pine Trees

Newton

2017

Forests

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Abstract:The relationship between acoustic velocity (v d ) and the dynamic modulus of elasticity (m e ), wood density (w d ), microfibril angle, tracheid wall thickness (w t ,), radial and tangential diameters, fibre coarseness (c o ) and specific surface area (s a ), within standing red pine (Pinus resinosa Ait.) trees, was investigated. The data acquisition phase involved 3 basic steps: (1) random selection of 54 sample trees from 2 intensively-managed 80-year-old plantations in central Canada; (2) attainment of cardinal-based v d measurements transecting the breast-height position on each sample tree; and (3) felling, sectioning and obtaining cross-sectional samples from the first 5.3 m sawlog from which Silviscan-based area-weighted mean attribute estimates were determined. The data analysis phase consisted of applying graphical and correlation analyses to specify regression models for each of the 8 attribute-acoustic velocity relationships. Results indicated that viable relationships were obtained for m e , w d , w t , c o and s a based on a set of statistical measures: goodness-of-fit (42%, 14%, 45%, 27% and 43% of the variability explained, respectively), lack-of-fit (unbiasedness) and predictive precision (±12%, ±8%, ±7%, ±8% and ±6% error tolerance intervals, respectively). Non-destructive approaches for estimating the prerequisite w d value when deploying the analytical framework were also empirically evaluated. Collectively, the proposed approach and associated results provide the foundation for the development of a comprehensive and precise end-product segregation strategy for use in red pine management.

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“…To date, modular-based SSDMMs has been developed for jack pine (Pinus banksiana Lamb.) (natural-origin stands and plantations; Newton, 2009), black spruce and jack pine mixtures (natural-origin stands; Newton, 2011), upland black spruce (naturalorigin stands and plantations; Newton, 2012a), and lowland black spruce (natural-origin stands; Newton, 2012b). These models were calibrated using extensive measurement data sets derived from hundreds of permanent and temporary sample plots situated throughout the central portion of the Canadian Boreal Forest Region.…”

Section: Utility Of Sdmd-based Decision-support Models In Forest Manamentioning

confidence: 99%

“…The composite fibre attribute functions are used to estimate mean wood density for merchantable-sized (≥ 10 cm diameter classes) trees, and the mean maximum branch diameter within the first 5 m sawlog for trees ≥ 15.1 cm in diameter (Fibre Attribute Estimation Module). Refer to Newton (2012a) for a complete description of the approach used in the development and calibration of the modular-based SSDMM for upland black spruce stands. Given the model's complexity and the computation burden associated with its use, an algorithmic analogue was developed in the Visual Basic (VB.NET (Ver.…”

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confidence: 99%

A Decision-Support Model for Regulating Black Spruce Site Occupancy Through Density Management

Newton¹

2012

Sustainable Forest Management - Current Research

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A decision-support system for forest density management within upland black spruce stand-types

Cited by 39 publications

References 45 publications

Effects of initial planting density on tree and stand development of planted black spruce up to age 30

Effects of initial planting density on tree and stand development of planted black spruce up to age 30

Acoustic-Based Non-Destructive Estimation of Wood Quality Attributes within Standing Red Pine Trees

A Decision-Support Model for Regulating Black Spruce Site Occupancy Through Density Management

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