Site characteristics, growth and nutrition of natural red pine stands in newfoundland

1996 ◽  
Vol 39 (1-3) ◽  
pp. 509-530 ◽  
Author(s):  
B.A. Roberts ◽  
Denes Bajzak
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.


2012 ◽  
Vol 35 (4) ◽  
pp. 307-311 ◽  
Author(s):  
Choonsig Kim ◽  
Jaeyeob Jeong ◽  
Nanthi S. Bolan ◽  
Ravi Naidu

1997 ◽  
Vol 14 (2) ◽  
pp. 53-58 ◽  
Author(s):  
Gary W. Fowler

Abstract New total, pulpwood, sawtimber, and residual pulpwood cubic foot individual tree volume equations were developed for red pine in Michigan using nonlinear and multiple linear regression. Equations were also developed for Doyle, International 1/4 in., and Scribner bd ft volume, and a procedure for estimating pulpwood and residual pulpwood rough cord volumes from the appropriate cubic foot equations was described. Average ratios of residual pulpwood (i.e., topwood, cubic foot or cords) to mbf were developed for 7.6 and 9.6 in. sawtimber. Data used to develop these equations were collected during May-August 1983-1985 from 3,507 felled and/or standing trees from 27 stands in Michigan. Sixteen and 11 stands were located in the Upper and Lower Peninsulas, respectively. All equations were validated on an independent data set. Rough cord volume estimates based on the new pulpwood equation were compared with contemporary tables for 2 small cruise data sets. The new equations can be used to more accurately estimate total volume and volume per acre when cruising red pine stands. North. J. Appl. For. 14(2):53-58.


2017 ◽  
Vol 12 (1) ◽  
pp. 12-21 ◽  
Author(s):  
Mehmet Eker ◽  
Raffaele Spinelli ◽  
Nevzat Gürlevik

1992 ◽  
Vol 22 (10) ◽  
pp. 1510-1515 ◽  
Author(s):  
Alan S. White ◽  
Katherine J. Elliott

Pin cherry (Prunuspensylvanica L.f.) and striped maple (Acerpensylvanicum L.) are potentially important competitors of red pine (Pinusresinosa Ait.) planted on recently clear-cut hardwood sites. By experimentally manipulating initial competitor densities on 2.0-m2 plots, we were able to quantify and compare the effects of competitor species on red pine seedlings 2 years after planting on two sites in western Maine. Various measures of competitor biomass and leaf area index (LAI) were highly correlated; thus, we used LAI to quantify competitor abundance. On the site with poorer growth for both competitors and red pine, the only red pine variable significantly correlated with competitor LAI was specific leaf area (SLA) of current needles. On the site with better growth for all species, various measures of red pine biomass as well as diameter at ground level and SLA were significantly correlated with competitor LAI. Seedling height was not significantly correlated with competitor LAI at either site. Although there were no significant differences between competitor species in terms of their effect per unit of LAI, pin cherry tended to achieve much higher LAI (and biomass) than did striped maple and thus had a greater negative impact on red pine seedling growth. We conclude that general predictions of the early effects of competition under field conditions are possible, but that the strength of the relationships may be influenced by the extent to which microsite factors and site characteristics are incorporated.


2012 ◽  
Vol 286 ◽  
pp. 66-72 ◽  
Author(s):  
M.E. Ostry ◽  
M.J. Moore ◽  
C.C. Kern ◽  
R.C. Venette ◽  
B.J. Palik

2013 ◽  
Vol 465 ◽  
pp. 273-278 ◽  
Author(s):  
Jaeyeob Jeong ◽  
Choonsig Kim ◽  
Kwang-Soo Lee ◽  
Nanthi S. Bolan ◽  
Ravi Naidu

Nematologica ◽  
1967 ◽  
Vol 13 (1) ◽  
pp. 33-42 ◽  
Author(s):  
K.R. Barker ◽  
R.F. Patton ◽  
R.G. Krebill

1963 ◽  
Author(s):  
Allen L. Lundgren ◽  
Robert F. Wambach ◽  
Keyword(s):  
Red Pine ◽  

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