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

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.

1996 ◽  
Vol 20 (1) ◽  
pp. 30-35 ◽  
Author(s):  
D. E. Adams ◽  
J. D. Lenhart ◽  
A. B. Vaughn ◽  
J. Lapongan

Abstract Repeated measurements during 1982-1992 of East Texas Pine Plantation Research Project permanent plots in loblolly (Pinus taeda L.) and slash (Pinus elliottii Engelm.) pine plantations throughout East Texas were used to develop equations for predicting the future number of trees per acre. A typical condition of East Texas pine plantations is the incidence of fusiform rust (Cronartium quercuum [Berk.] Miyabe ex Shirai f. sp. fusiforme). A regression procedure for fitting nonlinear systems of equations was used to fit survival models that considered the possibility that trees with no rust galls on the stem could either (1) remain uninfected and alive, (2) become infected yet still alive or (3) die. For infected stems, only two possible outcomes were considered in the model: (1) remain infected and alive or (2) die. Analyses of the differences between predicted and observed values indicated no adverse trends for either of the two species. Apparently the models do represent observed survival patterns. South. J. Appl. For. 20(1):30-35.


1996 ◽  
Vol 20 (1) ◽  
pp. 36-41
Author(s):  
J. D. Lenhart

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.


1988 ◽  
Vol 12 (4) ◽  
pp. 259-261 ◽  
Author(s):  
J. David Lenhart ◽  
W. Thomas McGrath ◽  
Terry L. Hackett

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.


2009 ◽  
Vol 33 (2) ◽  
pp. 69-76 ◽  
Author(s):  
Dean W. Coble

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.


2011 ◽  
Vol 35 (3) ◽  
pp. 115-122 ◽  
Author(s):  
Micky G. Allen ◽  
Dean W. Coble ◽  
Quang V. Cao ◽  
Jimmie Yeiser ◽  
I-Kuai Hung

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.


1997 ◽  
Vol 21 (3) ◽  
pp. 130-133
Author(s):  
Young-Jin Lee ◽  
J. David Lenhart

Abstract Stand-level models were derived to predict crown height or the distance from ground to the first live branch of unthinned planted loblolly (Pinus taeda L.) and slash (Pinus elliottii Engelm.) pine trees in East Texas. Average height of the tallest trees was the principal predictor in the models. In addition, the influence of number of planted trees per acre, nonplanted basal area and fusiform rust (Cronartium quercuum [Berk.] Miyabe ex Shirai f. sp. fusiforme) was considered. The models quantify the plantation ages when the butt log and successive lower stem logs are clear of live branches. This information may assist with merchandising the planted pines. South. J. Appl. For. 21(3):130-133.


1986 ◽  
Vol 10 (4) ◽  
pp. 215-216 ◽  
Author(s):  
Ellis V. Hunt ◽  
J. David Lenhart

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.


1991 ◽  
Vol 15 (2) ◽  
pp. 97-100
Author(s):  
W. David Hacker ◽  
M. Victor Bilan

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.


1994 ◽  
Vol 18 (1) ◽  
pp. 29-34 ◽  
Author(s):  
J. David Lenhart ◽  
Timothy G. Gregoire ◽  
Gary D. Kronrad ◽  
A. Gordon Holley

Abstract Three measurement cycles were completed on an extensive network of loblolly (Pinus taeda L.) pine and slash (Pinus elliottii Engelm.) pine plots in industrial plantations throughout East Texas in 1984, 1987, and 1990. Because the incidence of fusiform rust caused by Cronartium quercuum [Berk.] Miyabe ex Shirai f. sp. fusiforme had been recorded at each measurement, it is possible to characterize the temporal and geographic distribution of fusiform rust among these industrial pine plantations in East Texas. Average rust incidence for each species by two year age classes is presented. For loblolly pine, there is no apparent change in overall average incidence between 1987 and 1990, whereas for slash pine, there is an apparent overall average decline of about 7-8 percentage points. For some slash pine age classes, the incidence decline is 20-30 percentage points. Loblolly and slash pine rust incidence maps depict the geographic distribution of rust infection by plantation age groups in East Texas. South. J. Appl. For. 18(1):29-34.


2005 ◽  
Vol 29 (1) ◽  
pp. 16-21 ◽  
Author(s):  
Ching-Hsun Huang ◽  
Gary D. Kronrad ◽  
Jason D. Morton

Abstract Economic analyses were conducted to investigate the effects of initial planting density on the profitability of loblolly pine (Pinus taeda L.) on nonindustrial private forestland (NIPF) in East Texas. Five planting densities of 870, 725, 620, 540, and 484 trees per acre (tpa)representing spacings of 5×10, 6×10, 7×10, 8×10, and 9×10 ft, respectively, were investigated. Land expectation values were used to determine the financially optimal thinning and final harvesting schedules (including rotation length and the timing, frequency, and intensity of thinning). Five site indices (50–90), six real alternative rates of return (ARR) (2.5–15.0%), and three thinning options (0, 1, and 2) were employed. Results indicate that two thinnings appear to be the financially optimal number of thinnings for most siteindex-ARR scenarios. The planting spacing of 8×10 ft is optimal when ARR is low, and the 9×10 ft spacing is optimal when ARR is high. South. J. Appl. For. South. J. Appl. For. 29(1):16–21.


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