Predicting Diameter Distributions for Site-Prepared Loblolly and Slash Pine Plantations

1992 ◽  
Vol 16 (3) ◽  
pp. 130-133 ◽  
Author(s):  
John R. Brooks ◽  
Bruce E. Borders ◽  
Robert L. Bailey
Keyword(s):  
Pinus Taeda ◽  
Coastal Plain ◽  
Pinus Elliottii ◽  
Slash Pine ◽  
Pine Plantations ◽  
Recovery Method ◽  
Parameter Recovery ◽  
Pinus Taeda L ◽  
Lower Coastal Plain ◽  
Diameter Distributions

Abstract Prediction equations for four distribution percentiles and a parameter recovery method together give Weibull-based diameter distributions for site-prepared plantations of loblolly (Pinus taeda L.) and slash (Pinus elliottii Engelm.) pine. Separate sets of equations for the piedmont,upper coastal plain, and lower coastal plain provinces resulted from an analysis of extensive data for both species. South. J. Appl. For. 16(3):130-133.

scholarly journals Fusiform Rust Trends in East Texas: 1969-1987

1988 ◽  
Vol 12 (4) ◽  
pp. 259-261 ◽  
Author(s):  
J. David Lenhart ◽  
W. Thomas McGrath ◽  
Terry L. Hackett
Keyword(s):  
Pinus Taeda ◽  
Loblolly Pine ◽  
Pinus Elliottii ◽  
Slash Pine ◽  
Pine Plantations ◽  
East Texas ◽  
Infection Rates ◽  
Fusiform Rust ◽  
Cronartium Quercuum ◽  
Pinus Taeda L

Abstract Five surveys of pine plantations in East Texas over an 18-year period (1969-1987) indicated that fusiform rust (Cronartium quercuum [Berk.] Miyabe ex Shirai f. sp. fusiforme Birdsall and Snow) infection rates have increased to current levels of about 50% on slash pine (Pinus elliottii Engelm.) and are continuing to increase on loblolly pine (Pinus taeda L.) to 10-15% levels. South. J. Appl. For. 12(4):259-261.

Comparison of Slash Pine and Loblolly Pine Performance on Cutover Site-Prepared Sites in the Coastal Plain of Georgia and Florida

1989 ◽  
Vol 13 (4) ◽  
pp. 204-207 ◽  
Author(s):  
Bruce E. Borders ◽  
William M. Harrison
Keyword(s):  
Pinus Taeda ◽  
Loblolly Pine ◽  
Coastal Plain ◽  
Pinus Elliottii ◽  
Slash Pine ◽  
Comparison Study ◽  
Species Comparison ◽  
Pinus Taeda L ◽  
Better Than ◽  
Soil Groups

Abstract Age 8 measurements and analysis are reported and discussed for a large side-by-side loblolly pine (Pinus taeda L.)/slash pine (Pinus elliottii Engelm.) species comparison study. It is shown that loblolly pine performed better than slash pine in CRIFF soil groups A, D, F, and G whileslash pine and loblolly pine performed similarly in CRIFF soil groups B and C. South. J. Appl. For. 13(4):204-207.

A Density-Management Diagram for Slash Pine Plantations in the Lower Coastal Plain

1992 ◽  
Vol 16 (4) ◽  
pp. 178-185 ◽  
Author(s):  
Thomas J. Dean ◽  
Eric J. Jokela
Keyword(s):  
Coastal Plain ◽  
Pinus Elliottii ◽  
Slash Pine ◽  
Pine Plantations ◽  
Growth And Yield ◽  
Graphical Form ◽  
Annual Increment ◽  
Growing Stock ◽  
Management Regimes ◽  
Lower Coastal Plain

Abstract Data from 92 regional, midrotation-fertilizer trials were used to develop a density-management diagram for site-prepared slash pine (Pinus elliottii var. elliottii) plantations. The density-management diagram shows the interrelationships of five important stand variables (i.e., quadraticmean diameter (Dq), trees/ac, site height, standing volume/ac, and relative current annual increment) in a graphical form. The diagram can aid foresters in designing and comparing alternative density-management regimes for slash pine. In doing so, foresters can evaluate individualtree and stand level performances in relation to growing stock levels and make field approximations of growth and yield for various density-management regimes. Results indicated that fertilization and soil type had minimal effects on the diagram's isolines. This suggests broad applicabilityof the diagram for fertilized or unfertilized plantations found in the lower Coastal Plain. The use of the diagram is illustrated with three alternative density-management regimes, and a method is presented for estimating midrotation fertilization responses. South. J. Appl. For. 16(4):178-185

scholarly journals Fusiform Rust Trends in East Texas

1986 ◽  
Vol 10 (4) ◽  
pp. 215-216 ◽  
Author(s):  
Ellis V. Hunt ◽  
J. David Lenhart
Keyword(s):  
Pinus Taeda ◽  
Loblolly Pine ◽  
Pinus Elliottii ◽  
Slash Pine ◽  
Pine Plantations ◽  
East Texas ◽  
Infection Rates ◽  
Fusiform Rust ◽  
Loblolly Pines ◽  
Pinus Taeda L

Abstract Four surveys of pine plantations in East Texas between 1969 and 1984 indicate that fusiform rust (Cronartium quercuum (Berk.) Miyabe ex Shirai f. sp. fusiforme) infection rates are increasing on slash pine (Pinus elliottii Engelm. var. elliottii) and either decreasing or about constant on loblolly pine (Pinus taeda L.). Currently, stem infections occur on about 1 in 2 slash pines and 1 in 14 loblolly pines. South. J. Appl. For. 10:215-216, Nov. 1986.

Oracella acuta (loblolly pine mealybug).

2021 ◽  
Author(s):  
Paris Lambdin
Keyword(s):  
Pinus Taeda ◽  
Loblolly Pine ◽  
Natural Enemies ◽  
Food Source ◽  
Guangdong Province ◽  
Seed Orchard ◽  
Pinus Elliottii ◽  
Slash Pine ◽  
Pine Plantations ◽  
The Usa

Abstract This species has had limited distribution from its native habitats in the southern region of the USA since its discovery and description (Lobdell, 1930). O. acuta appears to be restricted to feeding on species of pines and loblolly pine, Pinus taeda, is its preferred food source. In its native habitat, populations seldom reach pest status due to the presence of natural enemies. In 1988, it was transported to a pine seed orchard in China on slash pine, Pinus elliottii, scions purchased in the USA. Sun et al. (1996) noted that O. acuta-infested slash pine scions leaving the USA and entering China in 1988 were not subjected to the quarantine restrictions of either country. The loblolly pine mealybug quickly became established and rapidly spread throughout pine plantations in the Guangdong Province, China where it threatens both native and introduced species of pines in the region.

Tree Volume and Taper Functions for Site-Prepared Plantations of Slash pine

1980 ◽  
Vol 4 (3) ◽  
pp. 139-142 ◽  
Author(s):  
G. H. Brister ◽  
J. L. Clutter ◽  
T. M. Skinner
Keyword(s):  
Coastal Plain ◽  
Pinus Elliottii ◽  
Slash Pine ◽  
Growth And Yield ◽  
Forest Industry ◽  
Yield Information ◽  
Lower Coastal Plain ◽  
Volume Equations

Abstract Forest industry in the lower coastal plain of Georgia and Florida is becoming increasingly dependent on harvests from site-prepared plantations. Sound planning for utilization of this plantation resource requires the availability of adequate growth and yield information. This paper presents total and merchantable tree volume equations for cubic foot volumes outside- and inside-bark and taper relationships derived from these equations. The equations are based on 677 trees sampled from 174 site-prepared slash pine (Pinus Elliottii Engelm.) plantations in the flatwoods of Georgia and Florida.

scholarly journals Site Index Curves for Loblolly and Slash Pine Plantations in the Post Oak Belt of East Texas

1991 ◽  
Vol 15 (2) ◽  
pp. 97-100
Author(s):  
W. David Hacker ◽  
M. Victor Bilan
Keyword(s):  
Pinus Elliottii ◽  
Analysis Data ◽  
Site Index ◽  
Slash Pine ◽  
Pine Plantations ◽  
East Texas ◽  
Post Oak ◽  
Richards Function ◽  
Height Prediction ◽  
Pinus Taeda L

Abstract Stem analysis data collected from dominant and codominant trees growing in loblolly (Pinus taeda L.) and slash pine (Pinus elliottii Engelm.) plantations were used to develop site index curves. These data were collected from loblolly and slash pine plantations growing in the Post Oak Belt of East Texas. The height prediction curves were based on the Chapman-Richards function and will provide an indication of site productivity based an plantation age. South. J. Appl. For. 15(2):97-100.

Yield Prediction for Mechanically Site-Prepared Slash Pine Plantations

1990 ◽  
Vol 14 (3) ◽  
pp. 104-109 ◽  
Author(s):  
Leon V. Pienaar ◽  
Henry H. Page ◽  
John W. Rheney
Keyword(s):  
Coastal Plain ◽  
Solid Wood ◽  
Slash Pine ◽  
Pine Plantations ◽  
Yield Prediction ◽  
Management Regimes ◽  
Solid Wood Product ◽  
Permanent Sample Plot ◽  
Projection Equations ◽  
Lower Coastal Plain

Abstract Simultaneous yield prediction and projection equations are presented for both unthinned and thinned site-prepared slash pine plantations in the lower coastal plain of Georgia and north Florida. These equations were developed from permanent sample plot data representing different planting densities and thinning intensities, replicated at 29 locations throughout the region. An equation is also provided to estimate different solid wood product yields, thus providing information for a realistic evaluation of management regimes with different planting densities, with or without thinning. South. J. Appl. For. 14(3):104-109.

Predicting Mortality After Thinning in Old-field Loblolly Pine Plantations

1983 ◽  
Vol 7 (1) ◽  
pp. 20-23 ◽  
Author(s):  
Ronald C. Lemin ◽  
Harold E. Burkhart
Keyword(s):  
Pinus Taeda ◽  
Loblolly Pine ◽  
Coastal Plain ◽  
Pine Plantations ◽  
Old Field ◽  
Survival Curves ◽  
Pinus Taeda L

Abstract Four equations were compared for predicting mortality after thinning in old-field loblolly pine (Pinus taeda L.) plantations. The model selected is of the form: N2 = [N1a1 + a2(A2a3 - A1a3)] 1/a1 where N1 and N2 denote trees per acre at ages A1 and A2. Survival curves for thinned, old-field loblolly pine plantations in Coastal Plain and Piedmont Virginia are given.

Sign in / Sign up

Export Citation Format

Share Document