scholarly journals An Annual Tree Survival and Diameter Growth Model for Loblolly and Slash Pine Plantations in East Texas

2012 ◽  
Vol 36 (2) ◽  
pp. 79-84 ◽  
Author(s):  
Dean W. Coble ◽  
Quang V. Cao ◽  
Lewis Jordan
Keyword(s):  
Growth Model ◽  
Slash Pine ◽  
Pine Plantations ◽  
Diameter Growth ◽  
East Texas ◽  
Tree Survival

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 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 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 Individual Tree-Based Diameter Growth Model of Slash Pine in Florida Using Nonlinear Mixed Modeling

2013 ◽  
Vol 59 (1) ◽  
pp. 27-37 ◽  
Author(s):  
Nilesh Timilsina ◽  
Christina L. Staudhammer
Keyword(s):  
Growth Model ◽  
Slash Pine ◽  
Diameter Growth ◽  
Individual Tree

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 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 A New Diameter Distribution Model for Unmanaged Slash Pine Plantations in East Texas

2008 ◽  
Vol 32 (2) ◽  
pp. 89-94 ◽  
Author(s):  
Dean W. Coble ◽  
Young-Jin Lee
Keyword(s):  
Loblolly Pine ◽  
Pinus Elliottii ◽  
Slash Pine ◽  
Pine Plantations ◽  
Distribution Model ◽  
Diameter Distribution ◽  
Yield Prediction ◽  
Prediction System ◽  
East Texas ◽  
New Model

Abstract A parameter recovery procedure for the Weibull distribution function based on four percentile equations was used to develop a new diameter distribution yield prediction model for unmanaged slash pine (Pinus elliottii Engelm.) plantations in East Texas. This new model was similar in structure to the model of Lee and Coble (Lee, Y.J., and D.W. Coble. 2006. A new diameter distribution model for unmanaged loblolly pine plantations in east Texas. South. J. Appl. For. 30(1):13–20) in their work with East Texas loblolly pine plantations. The new model was compared with the diameter distribution model of Lenhart (Lenhart, J.D. 1988. Diameter distribution yield prediction system for unthinned loblolly and slash pine plantations on non-old-fields in east Texas. South. J. Appl. For. 12(4):239–242. 1988), which was developed for slash pine plantations in East Texas, as well as to two other models developed using iterative techniques suggested and inspired by Cao (Cao, Q. 2004. Predicting parameters of a Weibull function for modeling diameter distribution. For. Sci. 50(5):682–685). The model developed in this study was preferred over Lenhart (Lenhart 1988) and the other two models in prediction of total trees per acre, basal area per acre, quadratic mean diameter, and cubic-foot volume per acre (wood and bark, excluding stump). An example also is provided to show users how to use this new yield prediction system. We recommend that the model developed in this study be used to estimate growth and yield of East Texas slash pine plantations.

Sign in / Sign up

Export Citation Format

Share Document