Étude du Matériel sur Pied Relatif et Ses Implications sur L'Aménagement des Plantations

1979 ◽  
Vol 55 (3) ◽  
pp. 95-101
Author(s):  
S. Popovich
Keyword(s):  
Initial Density ◽  
Stand Density ◽  
White Spruce ◽  
Red Pine ◽  
Pine Plantations ◽  
Plantation Management ◽  
Silvicultural Practices ◽  
Crucial Problem

Problems of plantation management and silvicultural practices in over- and under-stocked white spruce and red pine plantations are presented in the light of observations made while preparing normal yield tables. This study points out the crucial problem of initial density of man-made forests. For successful growth of light-demanding species such as pine, a minimum of 4 000-5 000 seedlings per hectare at planting are required. The use for stand density optimization is discussed.

Economic of Red Pine Plantation Management in Wisconsin

1986 ◽  
Vol 3 (3) ◽  
pp. 118-123 ◽  
Author(s):  
Marie de Naurois ◽  
Joseph Buongiorno
Keyword(s):  
Site Index ◽  
Red Pine ◽  
Pine Plantations ◽  
Pine Plantation ◽  
Expectation Values ◽  
Rates Of Return ◽  
Land Quality ◽  
Plantation Management ◽  
Management Regime

Abstract It is more economical to manage red pine plantations in Wisconsin for pulpwood and sawlog combined rather than for pulpwood only, even on low quality sites. The most important factor influencing the economics of a plantation is land quality. On lands of site index 45 new plantations are unlikely to be economical, regardless of management regime. Lands of site index 60 to 75 have real rates of return of 4 to 5.5% per year and soil expectation values of $125 to $350 per acre at 3% interest. Planting densities of 8 by 8 ft followed by heavy thinnings at long intervals and short rotations are best, but rotations may be increased considerably with only small effects on the economics of the plantations. North. J. Appl. For. 3:118-123, Sept. 1986.

scholarly journals Armillaria Root Rot Damage in Softwood Plantations in Ontario

1988 ◽  
Vol 64 (4) ◽  
pp. 345-351 ◽  
Author(s):  
R. D. Whitney
Keyword(s):  
Root Rot ◽  
Black Spruce ◽  
White Spruce ◽  
Jack Pine ◽  
Red Pine ◽  
Pine Plantations ◽  
Northern Ontario ◽  
Southern Ontario ◽  
Armillaria Root Rot ◽  
Annual Mortality

Armillaria root rot. caused most likely by Armillaria obscura (Pers) Herink, killed 6-to 21-year-old white spruce, black spruce, jack pine and red pine saplings in each of 49 plantations examined in northern Ontario. Annual mortality in the four species over the last 2 to 6 years averaged 1.4%, 1.5%, 0.5% and 0.2%, respectively. In all but one of 25 white spruce and red pine plantations (43 to 58 years old) in eastern and southern Ontario. Armillaria root rot was associated with mortality. Accumulated mortality in white spruce and red pine (initially recorded in 1978) averaged 7.6% and 11.7%, respectively, as of 1986. Current annual mortality for all plantations ranged from 0% to 16%. Key words: root rot. Armillaria obscura, white spruce, black spruce, jack pine, red pine.

Incorporating stand density effects in modeling the taper of red pine plantations

2020 ◽  
Vol 50 (8) ◽  
pp. 751-759
Author(s):  
Mahadev Sharma
Keyword(s):  
Basal Area ◽  
Stand Density ◽  
Red Pine ◽  
Pine Plantations ◽  
Individual Tree ◽  
Stem Taper ◽  
System Of Units ◽  
Pine Trees ◽  
Parameter Values ◽  
Taper Models

Taper models are used to estimate the diameter at any height along the bole of a tree. Individual tree volume can then be calculated based on these diameters and corresponding heights. As tree diameters are affected by stand density, inside- and outside-bark taper models that incorporate stand density information were developed for trees in red pine (Pinus resinosa Aiton) plantations. Data used in this study came from stem analysis on 150 red pine trees sampled from 30 even-aged, monospecific plantations across Ontario, Canada. A nonlinear mixed-effects approach was applied in fitting these taper models. Several forms of stand density were evaluated for both inside- and outside-bark diameters. A combination of stand densities expressed as [Formula: see text] (BA, basal area; TPH, trees per hectare) explained the most variation in stem taper of trees grown in red pine plantations in Ontario. This variable was highly significant in the regression and improved the predictive accuracies of both inside- and outside-bark taper models. The taper models presented here are dimensionally compatible. Therefore, these models are applicable for data using any system of units without adjusting parameter values.

Estimation de la production de jeunes plantations de pin rouge et de pin gris du sud du Québec

1976 ◽  
Vol 6 (4) ◽  
pp. 478-486 ◽  
Author(s):  
H. A. Bolghari
Keyword(s):  
Multiple Regression ◽  
Jack Pine ◽  
Red Pine ◽  
Pine Plantations ◽  
Regression Equations ◽  
Pine Plantation ◽  
South Shore ◽  
Pine Stands ◽  
Natural Stands ◽  
St Lawrence River

Multiple regression equations have been developed to predict yield from young red pine and jack pine plantations. Data from 446 sample plots representing young red pine and jack pine stands located on the south shore of the St. Lawrence River between Quebec and Montreal were analysed. The red pine plantation yielded more than the jack pine. However, in plantation both species yield more than in natural stands. Taking into account the age and spacing of the sampled plantations, the equation obtained can provide information on yield of red pine and jack pine stands the maximum spacing of which is 3 × 3 m, up to the age of 45 and 35 years respectively. The equations will allow the construction of preliminary yield tables for both species.

scholarly journals Evaluating a single tree-based growth model for even-aged stands against the maximum size–density relationship: Some insights from balsam fir stands in Quebec, Canada

2014 ◽  
Vol 90 (04) ◽  
pp. 503-515 ◽  
Author(s):  
Mathieu Fortin ◽  
Stéphane Tremblay ◽  
Robert Schneider
Keyword(s):  
Growth Model ◽  
Initial Density ◽  
Stand Density ◽  
Maximum Size ◽  
Balsam Fir ◽  
Diameter Distribution ◽  
Biological Behaviour ◽  
Single Tree ◽  
Density Relationship

In this study, we addressed the issue of model evaluation when long-term monitoring data are unavailable or inappropriate. More specifically, we fitted a single tree-based growth model for pure even-aged balsam fir stands and we compared stochastic predictions with an existing maximum size–density relationship (MSDR). Growth trajectories for plots of different initial densities and diameter distributions were simulated over a 70-year period using 500 realizations for each combination of initial density-diameter distribution. Long-term predictions were consistent with the existing MSDR. The model properly reproduced the senescence phase in which the trajectories diverge from the MSDR. This phase was initiated when the average tree volume reached 0.2-0.3 m3 per tree, which roughly corresponded to a DBH (diameter at breast height, 1.3 m from the ground) between 19 and 23 cm. Although it cannot be generalized, our case study shows that a simple single tree-based growth model with a distance-independent competition index and no stand density index can reproduce an existing MSDR. The match between long-term predictions and an existing MSDR strengthens the confidence in the biological behaviour of the model.

An Approach to Assessing Competition in Young Red Pine Plantations

1995 ◽  
Vol 12 (3) ◽  
pp. 101-108
Author(s):  
James E. Johnson ◽  
Scott G. Lindow ◽  
Robert Rogers
Keyword(s):  
Age Groups ◽  
Quantitative Relationship ◽  
Red Pine ◽  
Pine Plantations ◽  
Volume Index ◽  
Regression Equations ◽  
Tree Class ◽  
Performance Variables ◽  
Class 1 ◽  
Tree Performance

Abstract Several 5- and 6-yr-old red pine plantations in central Wisconsin were sampled to assess the performance of crop trees and the levels of competing vegetation. A simple tree class system was devised to classify the level of brush competition on a fixed area plot surrounding each sampled crop tree. The tree class was significantly correlated with several measured and derived competition variables, and was also strongly related with three tree performance variables: height, volume, and biomass. Tree Class 1, the lowest competition level, was associated with significantly greater tree heights, volumes, and biomasses for both age groups. Logistic regression equations were developed to derive a quantitative relationship between competition, as measured by tree class, and crop tree performance. Performance was judged to be either adequate or inadequate based on an arbitrary set of standards for both volume and biomass. From the regression equations, probabilities of successful performance were calculated. For volume index and biomass, the Class 1 trees, or the trees with the lowest levels of competition, had success probabilities ranging from 76 to 89%. For the Class 4 trees, or the trees with the highest levels of competition, success probabilities ranged from 3 to 16%. North. J. Appl. For. 12(3):101-108.

scholarly journals Vitality Determinations of Tree Tissue with Kilocycle and Megacycle Electrical Impedance

1970 ◽  
Vol 46 (1) ◽  
pp. 63-64 ◽  
Author(s):  
C. Glerum
Keyword(s):  
Electrical Impedance ◽  
White Spruce ◽  
Red Pine ◽  
Living Tissue ◽  
Silver Maple ◽  
Before And After

Electrical impedance at one kilocycle and one megacycle frequency was measured on twigs of white spruce, red pine and silver maple, before and after freezing or boiling. The ratio of kilocycle over megacycle impedance ranged from 3.0 to 5.0 for living tissue, before treatment and from 1.1 to 1.6 for killed tissue, after treatment.

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