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Friday, April 24, 2020 | History

2 edition of Predicting stem diameter distributions and yield for red pine plantations in Ontario. found in the catalog.

Predicting stem diameter distributions and yield for red pine plantations in Ontario.

George Michael Bonnor

Predicting stem diameter distributions and yield for red pine plantations in Ontario.

  • 151 Want to read
  • 39 Currently reading

Published in [Toronto] .
Written in English

    Subjects:
  • Norway pine,
  • Wood -- Testing

  • Edition Notes

    ContributionsToronto, Ont. University. Theses (M.Sc.F.)
    Classifications
    LC ClassificationsLE3 T525 MSCF 1966 B66
    The Physical Object
    Pagination[60 leaves]
    Number of Pages60
    ID Numbers
    Open LibraryOL15094960M

    A spacing study of 3 conifers (white spruce, red pine and jack pine) was established at Moodie, Manitoba, on flat, sandy, nutritionally poor soils with a fresh moisture regime. Twenty years after planting, red pine had the largest average dbh, 15% greater than jack pine, while white spruce dbh was less than half that of the pines. Crown width. VanderSchaaf, C.L., and D.W. Coble. User’s Guide, SLAeatx: A diameter-distribution growth and yield model and decision support system for unthinned slash pine plantations established in East Texas. TFS Report. 9 p. Based on stem analysis data for 1, loblolly pine (Pinus taeda L.) trees and slash pine (Pinus elliottii Engelm.) trees, improved predictions result with respect to predicting a stem profile when compared to a constant form factor model. Bibliography Even-aged Growth and Yield ( entries) 1. R. E. () “Growth and Yield of Red Pine in Minnesota.” U.S.D.A. Forest Service, Lake States Forest Experiment () “Growth and Yield of Thinned Loblolly Pine Plantations in Loessial Soil Areas.” U.S.D.A. Forest Service, Mississippi Agricultural and Forestry Experiment.

    economic uncertainty. To address these questions, we used the Georgia Pine Plantation (GaPPs ) growth and yield Model developed by Bailey and Zhao (). The majority of stand and tree data to develop the GaPPs growth and yield models for slash and loblolly were in the to year age classes.


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Predicting stem diameter distributions and yield for red pine plantations in Ontario. by George Michael Bonnor Download PDF EPUB FB2

Red pine. Site index for red pine can Predicting stem diameter distributions and yield for red pine plantations in Ontario. book estimated from other trees growing on such sites provided their site index can be determined.

Table 3 is the site index conversion for red pine from jack pine, white pine, white spruce, and Predicting stem diameter distributions and yield for red pine plantations in Ontario. book site indices. Table 1. Estimates of site index for red pine trees greater than 15 years old. Based on the.

Red pine plantation growth and yield tables (Ontario. Ministery of Natural Resources. Forest research report) Unknown Binding – January 1, Author: Alan F Beckwith.

ABSTRACT Thousands of hectares of red pine (Pinus resinosa Ait.) plantations were established during the early 20th century to restore abandoned agricultural lands and increase forest cover. Concern over the ecological integrity [i.e.

the degree to which a community is determined to be characteristic of its natural region, including abiotic and biotic components. Structural yield prediction.

Development of structural yield prediction models is a basic prerequisite for estimating multiple-product yields and associated monetary values, as historically shown for intensely managed southern pine species (e.g. Clutter and Bennett, ).Compared to average stand-level models, using the entire diameter distribution Cited by: The Canadian Forest Service promotes the sustainable development of Canada's forests and the competitiveness of Acoustic-Based Non-Destructive Estimation of Wood Quality Attributes within Standing Red Pine Trees.

Newton, P.F. Evaluation of three methods for predicting diameter distributions of black spruce (Picea mariana) plantations in. Stand-level diameter distribution yield model for black spruce plantations Article in Forest Ecology and Management (3) May with 40 Reads How we measure 'reads'.

Diameter variability in loblolly pine plantations was investigated using a dataset of thinned and unthinned plot measurements covering the entire native loblolly pine (Pinus taeda L.) proposed model for estimating Predicting stem diameter distributions and yield for red pine plantations in Ontario.

book deviation of diameter (STD) uses commonly available stand variables (average diameter, number of trees, age).Cited by: 2. Yield Estimates for Loblolly Pine Plantations Article (PDF Available) in Journal of Forestry -Washington- 77(9) September with 87 Reads How we measure 'reads'.

I conclude that the thinning regime in red pine plantation is promoting the regeneration of trees and increasing the diversity of understory vegetation.

However, in order to direct the successional trajectory of the understory vegetation of red pine plantations to a composition similar to the native woodlands of that area, a modified management Author: Salvatore Patrick Spitale.

yields to one of maximizing economic value), structural SDMD (SSDMD) and associated algorithmic analogues were introduced. Specifically, the dynamic SDMD modeling framework was expanded so that the Predicting stem diameter distributions and yield for red pine plantations in Ontario.

book diameter frequency distribution could be recovered from stand-level variables via the inclusion of a parameter prediction equation Size: 1MB. decisions about establishing or thinning red MANAGING RED PINE PLANTATIONS SAMPLE RED PINE CROP PLAN Year Activity Description (Cost) or Revenue-1 Site preparation ($ / ha) 0 Plant 2, trees per hectare @ x m spacing (anticipate /ha mortality) ($ / ha) 3 Hand tending (apply herbicide) ($75 / ha)File Size: KB.

Xeric sites/red pine dominant: In the western part of the Great Lakes-St Lawrence-Acadian forests of Minnesota, Wisconsin, and western Ontario, surface fires of moderate intensity historically occurred at intervals of 20 to 40 years in red pine and red pine-eastern white pine forests [38,79,].

Bailey RL, Burgan TM, Jokela EJ () Fertilized midrotation-aged slash pine plantations-stand structure and yield prediction models. South J Appl For –80 Google Scholar Baldwin VC, Burkhart HE, Westfall JA, Peterson KD () Linking growth and yield and process models to estimate impact of environmental changes on growth of loblolly by: 2.

The Canadian Forest Service promotes the sustainable development of Canada's forests and the competitiveness of the Efficiency of early selections for stem volume and predictions of size distributions of selections in a red pine spacing trial. Magnussen, S. Predicting stem diameter distributions from growth probability equations.

Below are basal area growth and yield tables derived from Buckman (). You can use these tables to estimate several different measures of growth and yield based on site quality, age, and stand density. Current annual basal area growth per acre 1 for even-aged red pine.

Site productivity of the hybrid poplar clone Brooks6 was predicted using soil and site information from 6, 4-year-old plantations in north-east Alberta. Predictions were made at both the local and microsite scales. Percent sand (R 2 =P = ) was the best single predictor of hybrid poplar productivity, showing a curved by: A growth and yield prediction system is presented for use in thinned or unthinned loblolly pine plantations in the west gulf region.

The equations predict cubic- and board-foot volume, green-weight, and dry-weight yields per unit area of wood only or wood with bark of entire tree boles, boles to any top diameter limit, and by: yields to one of maximizing economic value), structural SDMD (SSDMD) and associated algorithmic analogues were introduced.

Specifically, the dynamic SDMD modeling framework was expanded so that the underlying diameter frequency distribution could be recovered from stand-level variables via the inclusion of a parameter prediction equation system).

United States Deoartment of Predicting Diameter Distributions hculture of Longleaf Pine Plantations: A Forest Sewice Comparison Between Artificia ~etwbrks and Other Accepted Methodo Southern Research Station Research Paper Daniel J.

Leduc, Thomas G. Matney, SRS Keith L. Belli, and V. Clark Baldwin, by: Similarly, many of the normalized height-based ALS metrics had difficulties distinguishing between pine plantations and stands with residual trees remaining after a partial harvest even though these two stand types yield very different QMD and S values, i.e., pine plantations had lower QMDs and higher stem densities compared to partially Cited by: 1.

Alban () created a simple linear model to predict site index for red pine using 5-year growth intercept in feet beginning at 8 ft. above ground. SI = + X where SI is site index at a base age of 50 years and X is 5-year growth intercept in : Diane Kiernan.

Tree Volume and Upper-stem Diameter Predictions for Planted Loblolly and Slash Pine Based on a Compatible Volume-Taper System with Segmented-stem Form Factors Plantation Management Research Cooperative Warnell School of Forest Resources University of Georgia PMRC Technical Report February Zixing Fang Bruce E.

Borders Robert L. Bailey. Volume, weight, diameter distribution and yield equations for site-prepared loblolly pine plantations in the Piedmont and upper coastal plain of Alabama, Georgia and South Carolina.

PMRC Research Paper Shiver, B. Sample size for estimating Weibull function parameters for slash pine plantation diameter distributions.

The effect of initial number of tree per acre and thinning densities on timber yields from red pine plantations in the Lake States / (St. Paul, Minn.: North Central Forest Experiment Station, Forest Service, U.S.

Dept. of Agriculture, ), also by Allen L. Lundgren (page images at HathiTrust). Canadian Journal of Forest Research,41(4): C, Prégent G. Ecosystem carbon accumulation following fallow farmland afforestation with red pine in southern Quebec. Sievänen R, Mäkelä A. Effects of age and site quality on the distribution of biomass in Scots pine (Pinus sylvestris L.).

Trees Struct. Cited by: Deep Learning Algorithms (DLA) have become prominent as an application of Artificial Intelligence (AI) Techniques since This paper introduces the DLA to predict the relationships between individual tree height (ITH) and the diameter at breast height (DBH).

A set of pairs of individual height and diameter at breast height measurements, originating. Pine-oak mixed forests in the Qinling Mountains are an essential part of the ecosystem in Northwestern China.

Diameter distribution models for four species groups of pine-oak mixed forests were developed using the Weibull function. Both moment and hybrid estimation approaches were used to predict the Weibull parameters.

Volume, Weight and Yield Tables For Slash Pine Plantations in The Southeastern Coastal Plain. Research Paper No. Georgia Forestry Commission, Research Division. 47p. Pienaar L.V., Shiver B.D., Rheney J.W., Yield Prediction for Mechanically Site-Prepared Slash Pine Plantations in The Southeastern Coastal Plain.

Black Spruce and White Spruce Plantation Productivity. Open Journal of Forestry, 7, 40 Solum Depth cm Enhancing Forest Growth and Yield Predictions with Airborne Laser Scanning Data: Increasing Stem diameter distributions in boreal mixedwoods Simple - Unimodal Complex.

Thirty-six trees were sampled from four mature Scots pine plantations in Scotland, UK. Longitudinal MOE and MOR were determined in static bending on small ( × 20 × 20 mm) defect-free samples.

Nonlinear mixed-effects models based on an exponential function of cambial age were developed to predict the within-stem patterns of by: 5. Skewness reversal of distribution of stem diameter in plantations.

Some limitations inherent to static indices of plant competition. Spatial analysis of structural and tree-ring related parameters in a timberline forest in the Italian Alps. Stand structural dynamics of North American boreal forests. ().Author: Juha M. Metsaranta and Victor J. Lieffers. The objective of this study was to quantify the relationship between acoustic velocity and the dynamic modulus of elasticity (MOE; denoted m e), wood density (w d), microfibril angle, tracheid wall thickness (w t) and radial and tangential diameters, fiber coarseness (c o), and specific surface area (s a) for red pine (Pinus resinosa Ait.) logs.

Subsequent to the Cited by: 4. Prediction of cone crops several months in advance is possible. Cone production in red pine plantations has been responsive to cultural treatments.

Reduced stand density and increased soil fertility have markedly increased numbers of cones on trees at age 25 (anonymous ). More acres of planted slash pine are also approaching a merchantable condition than any other species, even though the bulk of the plantings has been in the last 20 years.

Because most planting is so recent, there has been a lack of information on the growth and yield of slash pine plantations.

This article focuses on modelling and mapping the productivity of black (Picea mariana) and white spruce (Picea glauca) plantations across the Black Brook forest management area in northwestern New Brunswick, Canada, encompassing aboutha.

This effort involved establishing 50 m2 survey plots, each informing about: plantation age (15 to 43 years), planted species type, stem Cited by: 1. Introduction. The self-thinning rule describes the mortality related to competition among trees within even-aged stands with full site occupancy [1, 2].The rule has been a topic of research and discussion for more than eighty years [3–5].In forestry, the rule has been used to develop relative density indices [6, 7], construct stand density management diagrams [8, 9], and serve as a Cited by: 6.

USDA Forest Service Proceedings RMRS-P Development of FVSOntario: A Forest Vegetation Simulator Variant and Application Software for Ontario Murray E.

Woods1 Donald C.E. Robinson2 Abstract—The Ontario Ministry of Natural Resources is leading a government-industry partner- ship to develop an Ontario variant of the Forest Vegetation Simulator (FVS).Cited by: 6.

Developing a Diameter-Distribution Based, Whole Stand Growth Prediction System for Pinus occidentalis, Sw. Stands in La Sierra, Dominican Republic.

Janu New York SAF Winter Meeting. Syracuse, NY. Bueno, S. and E. Bevilacqua. Modeling stem diameter increment of individual Pinus occidentalis Sw. trees in La Sierra, Dominican. Stem diameter, however, decreased substantially without vegetation control. Third-year diameters for white pine, jack pine, black spruce, and red pine without vegetation control w 56, 61, and 64%, respectively, of that observed for trees under 3 consecutive years of vegetation control.

Garcia O. Scale and spatial structure effects on tree size distributions: implications for growth and yield modeling. Canadian Journal of Forest Research. ; – Gates DJ, McMurtrie R, Borough CJ. Skewness reversal of distribution of stem diameter in plantations.

Australian Forest Research. ; – Gross by:. Description. The white spruce is a pdf coniferous evergreen tree which grows normally to 15 to 30 m (50 pdf ft) tall, but can grow up to 40 m ( ft) tall with a trunk diameter of up to 1 m ( ft). The bark is thin and scaly, flaking off in small circular plates 5 to 10 cm (2 to 4 in) across.

The crown is narrow – conic in young trees, becoming cylindric in older : Tracheophytes.June and the height above ground and diameter of all live, download pdf, and overgrown knots to a 4-inch diameter outside bark (d.o.b.) top were recorded.

If the knot was on the face of the stem within the row or between rows also was recorded. Stem height to a4- 3- and 2- inch d.o.b. was recorded and the d.o.b. at feet also was recorded. Mack, T.J. and T.E. Burk. Equations for predicting merchantable ebook and diameter distribution for Lake States ebook pine.

No. J. Applied Forestry 21(2) Mack, T.J. and T.E. Burk. A model-based approach to developing an interactive density management diagram for red pine in the Lake States.

No. J. Applied Forestry 21(4).