Leader and Bark Characteristics in Different Growth Categories of White Pine (Pinus strobus L. and Pinus monticola Dougl.) in Maryland

1974 ◽  
Vol 15 (1) ◽  
pp. 30 ◽  
Author(s):  
Dan M. Harman ◽  
Melvin L. Brown
Keyword(s):  
Pinus Strobus ◽  
Pinus Monticola ◽  
White Pine

White pine (Pinus strobus L.) regeneration dynamics at the species’ northern limit of continuous distribution

New Forests ◽  
2013 ◽  
Vol 45 (1) ◽  
pp. 131-147 ◽  
Author(s):  
Yadav Uprety ◽  
Hugo Asselin ◽  
Yves Bergeron ◽  
Marc J. Mazerolle
Keyword(s):  
Continuous Distribution ◽  
Pinus Strobus ◽  
White Pine ◽  
Northern Limit ◽  
Regeneration Dynamics

Western white pine development in relation to biophysical characteristics across different spatial scales in the Coeur d'Alene River basin in northern Idaho, U.S.A.

2002 ◽  
Vol 32 (7) ◽  
pp. 1109-1125 ◽  
Author(s):  
Theresa B Jain ◽  
Russell T Graham ◽  
Penelope Morgan
Keyword(s):  
River Basin ◽  
Spatial Scales ◽  
Pinus Monticola ◽  
White Pine ◽  
Basal Diameter ◽  
Landscape Characteristics ◽  
Coeur D'alene ◽  
Biophysical Factors ◽  
Western White Pine ◽  
Northern Idaho

Many studies have assessed tree development beneath canopies in forest ecosystems, but results are seldom placed within the context of broad-scale biophysical factors. Mapped landscape characteristics for three watersheds, located within the Coeur d'Alene River basin in northern Idaho, were integrated to create a spatial hierarchy reflecting biophysical factors that influence western white pine (Pinus monticola Dougl. ex D. Don) development under a range of canopy openings. The hierarchy included canopy opening, landtype, geological feature, and weathering. Interactions and individual-scale contributions were identified using stepwise log–linear regression. The resulting models explained 68% of the variation for estimating western white pine basal diameter and 64% for estimating height. Interactions among spatial scales explained up to 13% of this variation and better described vegetation response than any single spatial scale. A hierarchical approach based on biophysical attributes is an excellent method for studying plant and environment interactions.

scholarly journals AIR-LAYERING OF EASTERN WHITE PINE (Pinus strobus L.)

1959 ◽  
Vol 35 (1) ◽  
pp. 19-21 ◽  
Author(s):  
J. L. Farrar ◽  
W. D. McJannet
Keyword(s):  
Pinus Strobus ◽  
White Pine ◽  
Eastern White Pine

Diseases of Pinus strobus (White Pine)

2021 ◽  
pp. 293-296
Author(s):  
S. Parthasarathy ◽  
G. Thiribhuvanamala ◽  
P. Muthulakshmi ◽  
K. Angappan
Keyword(s):  
Pinus Strobus ◽  
White Pine

THE EFFECT OF SOLAR RADIATION ON CONE INSECTS OF EASTERN WHITE PINE (PINUS STROBUS) IN THE FREDERICTON AREA, NEW BRUNSWICK

1971 ◽  
Vol 103 (4) ◽  
pp. 605-609 ◽  
Author(s):  
J. A. Odera
Keyword(s):  
High Temperature ◽  
Solar Radiation ◽  
New Brunswick ◽  
Correlation Coefficient ◽  
Pinus Strobus ◽  
White Pine ◽  
Average Correlation ◽  
Ground Temperatures ◽  
Internal Cone ◽  
Insect Mortality

AbstractInternal cone temperatures recorded in the mornings and in the afternoons demonstrated marked differences between sunny and shaded sites. Analysis of variance confirmed differences between treatment as highly significant. High and low cone temperatures coincided with high and low ground temperatures. The average correlation coefficient relating cone and ground temperatures was highly significant, while that for cone temperatures and cone size was non-significant.Heavy insect mortality occurred in cones exposed to direct solar radiation but mortality remained relatively low in the cones left in the shade. The greatest high-temperature mortality occurred during summer between late June and early August.

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