scholarly journals Climatic Effects on Site Productivity of Red Pine Plantations

2018 ◽  
Vol 64 (5) ◽  
pp. 544-554 ◽  
Author(s):  
Mahadev Sharma ◽  
John Parton
1991 ◽  
Vol 8 (2) ◽  
pp. 59-63
Author(s):  
Elizabeth A. Jones ◽  
David D. Reed

Abstract Potential site productivity (site index) functions have generally been developed from data where stands are 20 years of age or more. A segmented regression technique was applied to existing site index curves to aid in predicting heights at ages less than 20 years. This approach is illustrated with young red pine data from the Lake States and shows improvement in height prediction at young ages. With this approach, existing site curves for older trees are not changed and can continue to be used without altering their results for older stands. North. J. Appl. For. 8(2):59-63


1976 ◽  
Vol 6 (4) ◽  
pp. 478-486 ◽  
Author(s):  
H. A. Bolghari

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.


1995 ◽  
Vol 12 (3) ◽  
pp. 101-108
Author(s):  
James E. Johnson ◽  
Scott G. Lindow ◽  
Robert Rogers

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.


1957 ◽  
Vol 33 (4) ◽  
pp. 333-334
Author(s):  
W. M. Stiell
Keyword(s):  
Red Pine ◽  

1961 ◽  
Vol 37 (1) ◽  
pp. 16-21 ◽  
Author(s):  
J. H. Cayford ◽  
R. A. Haig

In November 1958, an ice storm caused severe bending of stems in young red and Scots pine plantations on the Sandilands Forest Reserve in southeastern Manitoba. A study was carried out to investigate the recovery of bent trees and to determine the extent of permanent damage in the plantations.Between 50 and 100 per cent of the trees in young red pine plantations were bent so severely that their tops were touching the ground. Scots pine plantations were less severely affected. However, both species showed considerable recovery and little or no permanent damage has occurred in plantations younger than 14 or older than 25 years of age. Approximately one quarter of the trees growing in two dense red pine plantations, 16 and 22 years of age, were judged to have been permanently damaged.


Sign in / Sign up

Export Citation Format

Share Document