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.

scholarly journals Site Index Equations for Loblolly and Slash Pine Plantations on Non-Old-Fields in East Texas

1986 ◽  
Vol 10 (2) ◽  
pp. 109-112 ◽  
Author(s):  
J. David Lenhart ◽  
Ellis V. Hunt ◽  
Jock A. Blackard
Keyword(s):  
Loblolly Pine ◽  
Pinus Elliottii ◽  
Growth Function ◽  
Site Index ◽  
Slash Pine ◽  
Old Fields ◽  
East Texas ◽  
Height Prediction ◽  
Index Index ◽  
Pinus Taeda L

Abstract Equations to estimate site index (index age 25 years) for plantations of loblolly pine (Pinus taeda L.) and slash pine (Pinus elliottii Engelm.) on non-old-fields in East Texas have been developed. The height-prediction curves were based on the Richards' growth function and track well within the range of the data (1-17 years). South. J. Appl. For. 10:109-112, May 1986.

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.

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.

scholarly journals Total and Partial Stand-Level Yield Prediction for Loblolly and Slash Pine Plantations in East Texas

1996 ◽  
Vol 20 (1) ◽  
pp. 36-41
Author(s):  
J. D. Lenhart
Keyword(s):  
Total Yield ◽  
Pinus Elliottii ◽  
Site Index ◽  
Pine Plantations ◽  
Permanent Plots ◽  
East Texas ◽  
Proportional Value ◽  
Yield Values ◽  
Quadratic Mean Diameter ◽  
Pinus Taeda L

Abstract Observations from East Texas Pine Plantation Research Project permanent plots in loblolly (Pinus taeda L.) and slash (Pinus elliottii Engelm.) pine plantations throughout East Texas were utilized to develop methods to estimate stand-level yield values. Predicted yields are volume in cubic feet and green weight in pounds. Predictor variables for total yield are plantation age, site index (base age 25 yr) and surviving trees per acre. Partial yield is derived using total yield and plantation quadratic mean diameter in conjunction with specified threshold dbh and upper stem dob values. Expected total yield per acre is converted to partial yield per acre by considering combinations of threshold dbh and upper stem dob values. For each combination, total yield per acre is reduced by a proportional value to estimate a partial yield per acre. South. J. Appl. For. 20(1):36-41.

scholarly journals Influence of Planting Density on Diameter and Height in East Texas Pine Plantations

1998 ◽  
Vol 22 (4) ◽  
pp. 241-244 ◽  
Author(s):  
Young-Jin Lee ◽  
J. David Lenhart
Keyword(s):  
Average Diameter ◽  
Pinus Elliottii ◽  
Pine Plantations ◽  
Planting Density ◽  
Permanent Plots ◽  
Average Height ◽  
East Texas ◽  
Age Classes ◽  
Younger Age ◽  
Pinus Taeda L

Abstract The response of diameter and height of unthinned planted stands loblolly (Pinus taeda L.) and slash (Pinus elliottii Engelm.) pine in East Texas to different classes of planting densities were analyzed. After tracking the development of diameter and height for 15 yr on a set of permanent plots representing a broad range of plantation parameters, average diameter and average height trends were observed. For both species, average diameter values were significantly larger with lower planting densities. In contrast, average height growth is insensitive to planting density at younger age classes for loblolly and at older age classes for slash pine plantations. South. J. Appl. For. 22(4):241-244.

scholarly journals A New Whole-Stand Model for Unmanaged Loblolly and Slash Pine Plantations in East Texas

2009 ◽  
Vol 33 (2) ◽  
pp. 69-76 ◽  
Author(s):  
Dean W. Coble
Keyword(s):  
Loblolly Pine ◽  
Basal Area ◽  
Pinus Elliottii ◽  
Current Data ◽  
Slash Pine ◽  
Pine Plantations ◽  
Growth And Yield ◽  
East Texas ◽  
Age Classes ◽  
Yield Model

Abstract A new compatible whole-stand growth-and-yield model to predict total tree cubic-foot volume per acre yield (outside and inside bark) was developed for unmanaged loblolly pine (Pinus taeda) and slash pine (Pinus elliottii) plantations in East Texas. This model was compared with the noncompatible whole-stand model of Lenhart (<xref ref-type="bibr" rid="B15-2127">Lenhart, 1996</xref>, Total and partial stand-level yield prediction for loblolly and slash pine plantations in east Texas, South. J. Appl. For. 20(1):36–41) and the <xref ref-type="bibr" rid="B15-2127">Lenhart (1996)</xref> model refit to current data. For the two species, all three models were evaluated with independent observed data. The model developed in this study outperformed both Lenhart models in prediction of future yield and basal area per acre for all age classes combined and by 5-year age classes. The Lenhart models consistently overestimated yield and basal area per acre. All three models predicted surviving trees per acre similarly. An example is also provided to show users how to use the new whole-stand model.

scholarly journals A Modified Stand Table Projection Growth Model for Unmanaged Loblolly and Slash Pine Plantations in East Texas

2011 ◽  
Vol 35 (3) ◽  
pp. 115-122 ◽  
Author(s):  
Micky G. Allen ◽  
Dean W. Coble ◽  
Quang V. Cao ◽  
Jimmie Yeiser ◽  
I-Kuai Hung
Keyword(s):  
Growth Model ◽  
Loblolly Pine ◽  
Pinus Elliottii ◽  
Slash Pine ◽  
Pine Plantations ◽  
Permanent Plots ◽  
East Texas ◽  
Diameter Class ◽  
Validation Data ◽  
New Models

Abstract Four methodologies to project future trees per acre by diameter class were compared to develop a new modified stand table projection growth model for unmanaged loblolly pine (Pinus taeda L.) and slash pine (Pinus elliottii Engelm.) plantations in East Texas. The new models were fit to 92,882 observations from 153 permanent plots located in loblolly pine plantations and 33,792 observations from 71 permanent plots located in slash pine plantations throughout East Texas. The new models were validated with 12,750 observations from 22 permanent plots and 3,724 observations from 9 permanent plots located in loblolly and slash pine plantations, respectively. The validation data were used to select between the four methodologies. The results indicated which of the new models produced the best results, based on error indexes calculated for trees per acre and basal area per acre at the stand table and diameter class levels across a range of projection lengths. We recommend that this new model be used by forest managers for projecting stand tables in East Texas loblolly and slash pine plantations. An example is also provided to show users how to use the new modified stand table projection model.

scholarly journals Site Factors Affecting Growth of Slash Pine in the Texas Post Oak Belt

1997 ◽  
Vol 21 (2) ◽  
pp. 71-74
Author(s):  
W. David Hacker ◽  
M. Victor Bilan
Keyword(s):  
Stepwise Regression ◽  
Pinus Elliottii ◽  
Analysis Data ◽  
Height Growth ◽  
Slash Pine ◽  
Stem Analysis ◽  
Site Factors ◽  
Factors Affecting ◽  
Post Oak ◽  
Age Model

Abstract A study was conducted in the Post Oak Belt of East Texas to determine which site factors affected height growth of slash pine (Pinus elliottii Engelm.). Height-age pairs were developed from stem analysis data. Nonlinear regression was implemented to develop a generalized height-age model. After curves were developed, stepwise regression was used to determine impacts of environmental variables on height growth. Environmental factors correlated with height growth included A horizon depth and those related to moisture relations including seasonal precipitation, average daily temperature, and texture of the A horizon. South. J. Appl. For. 21(2):71-74.

scholarly journals Height Growth of Loblolly and Slash Pine Plantations in the Northern Post-Oak belt of Texas

1989 ◽  
Vol 13 (1) ◽  
pp. 5-8 ◽  
Author(s):  
Robert S. Hansen ◽  
M. Victor Bilan
Keyword(s):  
Pinus Taeda ◽  
Loblolly Pine ◽  
Pinus Elliottii ◽  
Height Growth ◽  
Environmental Data ◽  
Pinus Echinata ◽  
East Texas ◽  
Shortleaf Pine ◽  
Post Oak ◽  
Pinus Taeda L

Abstract Age accounted for over 70% of the variation in tree height of 10- to 44-year-old loblolly pine (Pinus taeda L.) and slash (Pinus elliottii Engelm.) plantations established on deep sands, moderate sands, and nonsandy soils in the Northern Post-Oak Belt of Texas. Climatic and edaphicfactors, relating either directly or indirectly to the amount of moisture available for tree use, explained up to 17% of height growth variation. Height growth of the plantations was comparable to that of plantations growing in the pine-mixed hardwood forest cover type of East Texas. The NorthernPost-Oak Belt of Texas is an area approximately 50 to 100 miles wide located between the pine-mixed hard-wood forest type to the east and the black-land prairie to the west. Soils within the belt belong primarily to the Alfisol or Ultisol soil orders. The western-most areas of the belt receiveup to 20% less annual rain fall than the pine-mixed hardwood type of East Texas (U.S. Environmental Data and Information Service 1949-1982). The present forest of this area is dominated by post oak (Quercus stellata Wang.), black-jack oak (Quercus Marilandica Muench.), bluejack oak (Quercusincana Bartr.), and black hickory (Carya texana Buckl.) (Ward 1984). Loblolly pine (Pinus taeda L.) and shortleaf pine (Pinus echinata Mill.) occur naturally only in scattered locations (Wilson and Hacker 1986). South. j. Appl. For. 13(1):5-8.

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.

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