Stand-Level Cubic-Foot Volume Ratio Equations for Planted Loblolly Pine on Site-Prepared Land in the Mid-South Gulf Coastal Plain

1988 ◽  
Vol 12 (1) ◽  
pp. 7-11
Author(s):  
Thomas G. Matney ◽  
Alfred D. Sullivan ◽  
Julia R. Ledbetter ◽  
Robert M. Farrar
Keyword(s):  
Loblolly Pine ◽  
Coastal Plain ◽  
Volume Ratio ◽  
Pine Plantations ◽  
Gulf Coastal Plain ◽  
Predictor Equations

Abstract Volume ratio predictor equations are presented for calculating cubic foot volumes per acre to any top diameter limit in loblolly pine plantations on cutover site-prepared land. An illustrative example of the application of the equations is presented. South. J. Appl. For. 12(1):7-11.

Predicting Stand Attributes of Loblolly Pine in West Gulf Coastal Plain Using Gradient Boosting and Random Forests

2020 ◽  
Author(s):  
Xiongwei Lou ◽  
Yuhui Weng ◽  
Luming Fang ◽  
HL Gao ◽  
Jason Grogan ◽  
...  
Keyword(s):  
Loblolly Pine ◽  
Random Forests ◽  
Coastal Plain ◽  
Mean Squared Error ◽  
Pine Plantations ◽  
Machine Learning Techniques ◽  
Coefficient Of Determination ◽  
Gradient Boosting ◽  
Gulf Coastal Plain ◽  
Intensively Managed

Two machine-learning techniques, gradient boosting (GB) and random forests (RF), were used to predict stand mean height (HT), trees per hectare (Tree ha-1) and basal area per hectare (BA ha-1) based on datasets collected from extensively- and intensively-managed loblolly pine plantations in the West Gulf Coastal Plain region. Models were evaluated using coefficient of determination (R2), bias and root mean squared error (RMSE) by applying models to independent dataset and then compared to the model (Coble et al. 2017) currently being used in the region. For extensively-managed plantations, the GB models had less bias, larger R2 and smaller RMSE than RF and HT model was the best, followed by those of Tree ha-1 and BA ha-1. Even for BA ha-1, the GB model had R2 over 0.83. GB and RF models outperformed the Coble et al. (2017); differences were notable for HT and Tree ha-1, but significant for BA ha-1. For intensively-managed plantations, GB and RF were similarly great in predicting HT and Tree ha-1, but GB outperformed RF in predicting BA ha-1. We recommend the use of GB models to predict quantitative information required for managing loblolly pine plantations in the region.

scholarly journals A New Site Index Model for Intensively Managed Loblolly Pine (Pinus taeda) Plantations in the West Gulf Coastal Plain

2019 ◽  
Author(s):  
Kynda R Trim ◽  
Dean W Coble ◽  
Yuhui Weng ◽  
Jeremy P Stovall ◽  
I-Kuai Hung
Keyword(s):  
Pinus Taeda ◽  
Loblolly Pine ◽  
Coastal Plain ◽  
Site Index ◽  
The United States ◽  
Pine Plantations ◽  
Permanent Plots ◽  
Gulf Coastal Plain ◽  
The West ◽  
Intensively Managed

Abstract Site index (SI) estimation for loblolly pine (Pinus taeda L.) plantations is important for the successful management of this important commercial tree species in the West Gulf Coastal Plain of the United States. This study evaluated various SI models for intensively managed loblolly plantations in the West Gulf Coastal Plain using data collected from permanent plots installed in intensively managed loblolly pine plantations across east Texas and western Louisiana. Six commonly used SI models (Cieszewski GADA model, both Chapman-Richards ADA and GADA models, both Schumacher ADA and GADA models, and McDill-Amateis GADA model) were fit to the data and compared. The Chapman-Richards GADA model and the McDill-Amateis GADA model were similar and best in their fit statistics. These two models were further compared to the existing models (Diéguez-Aranda et al. 2006 (DA2006), Coble and Lee 2010 (CL2010)) commonly used in the region. Both the Chapman-Richards GADA and the McDill-Amateis GADA models consistently predicted greater heights up to age 25 than the models of DA2006 and CL2010, with larger height differences for the higher quality sites, but predicted shorter heights thereafter. Ultimately, the McDill-Amateis GADA model was chosen as the best model for its consistency in predicting reasonable heights extrapolated beyond the range of the data. Foresters can use this model to make more informed silvicultural prescriptions for intensively managed loblolly pine plantations in the West Gulf Coastal Plain.

Water Quality Effects of Clearcutting Upper Coastal Plain Loblolly Pine Plantations

1985 ◽  
Vol 14 (3) ◽  
pp. 329-332 ◽  
Author(s):  
D. C. Mc Clurkin ◽  
P. D. Duffy ◽  
S. J. Ursic ◽  
N. S. Nelson
Keyword(s):  
Water Quality ◽  
Loblolly Pine ◽  
Coastal Plain ◽  
Pine Plantations

Influence of Oak Control and Pine Growth on Fusiform Rust Incidence in Young Slash and Loblolly Pine Plantations

1995 ◽  
Vol 19 (4) ◽  
pp. 151-156 ◽  
Author(s):  
Robert A. Schmidt ◽  
James E. Allen ◽  
Roger P. Belanger ◽  
Thomas Miller
Keyword(s):  
Loblolly Pine ◽  
Coastal Plain ◽  
Pine Plantations ◽  
Border Zone ◽  
Fusiform Rust ◽  
Loblolly Pines

Abstract The influence of oak control and pine growth on fusiform rust incidence (percentage trees infected) on rust-susceptible slash and loblolly pines was evaluated at age 5 yr at seven potentially high-rust-incidence locations in the Coastal Plain of FL, GA, and MS. Rust-susceptible oaks were reduced or eliminated in a 9 ac treatment block and the surrounding 500 ft border zone of an oak-free (OF) area; oaks were not controlled in an adjacent oak-present (OP) area. At four of seven locations, rust incidence was significantly greater on the OF areas compared with the OP areas, and among all locations, average rust incidence on pine was greater (Pr > F = 0.06) on the OF areas (51.4%) than on the OP areas (40.0%). Greatly reducing rust-susceptible oak stems in the treatment blocks and in a surrounding 500 ft border did not reduce rust incidence on rust-susceptible slash or loblolly pine. Inoculum to infect pine came from beyond the 500 ft border zone. Greater pine height, associated with reduced competition from oaks, likely contributed to the greater rust incidence on pine in the OF areas. South. J. Appl. For. 19(4):151-156.

Removal of Competing Vegetation from Established Loblolly Pine Plantations Increases Growth on Piedmont and Upper Coastal Plain Sites

1996 ◽  
Vol 20 (4) ◽  
pp. 188-193 ◽  
Author(s):  
James C. Fortson ◽  
Barry D. Shiver ◽  
Lois Shackelford
Keyword(s):  
Loblolly Pine ◽  
Coastal Plain ◽  
Basal Area ◽  
Pine Plantations ◽  
Slope Position ◽  
Age Classes ◽  
Individual Tree ◽  
Competing Vegetation ◽  
Positive Treatment ◽  
The Individual

Abstract A series of paired plots was installed in loblolly pine plantations at 42 locations in Georgia's Piedmont and Alabama's Piedmont and Coastal Plain. One plot of each pair had all competing vegetation eliminated. The other plot was left as an uncontrolled check. Locations were stratified over two age classes (5-9 and 12-16 yr old) and three slope positions (top, midslope, and bottom). Analysis of 33 surviving locations 8 yr after treatment revealed a positive treatment effect for both individual tree (dbh and total height) and stand characteristics (basal area per acre, total volume per acre, and merchantable volume per acre). There was no difference in volume response between age classes. Slope position was not significant for the individual tree variables, but was significant for the stand variables, with midslopes responding most positively followed by bottom and then top slope positions. Over all locations, the average treatment response was approximately ½ cord/ac/yr. Economic analyses indicate that the magnitude of the response will be economical for many stumpage prices, particularly on midslope and bottom slope positions, in plantations where access and species composition make herbicide spraying possible. South J. Appl. For. 20(4):188-192.

scholarly journals Estimating Financial Returns from Mid-Rotation Release in Coastal Plain Loblolly Pine Plantations

1999 ◽  
Vol 23 (2) ◽  
pp. 94-99 ◽  
Author(s):  
Jon P. Caulfield ◽  
Barry D. Shiver ◽  
Leon V. Pienaar ◽  
Harold E. Quicke
Keyword(s):  
Loblolly Pine ◽  
Coastal Plain ◽  
Economic Benefits ◽  
Pine Plantations ◽  
Base Case ◽  
Maximum Height ◽  
Case Scenario ◽  
Rates Of Return ◽  
Base Case Scenario ◽  
Study Product

Abstract Financial rates of return are estimated for mid-rotation release from hardwood competition for Coastal Plain loblolly pine plantations. Economic benefits were measured against the costs required to obtain those benefits. A base case scenario was employed to approximate the average initial stand conditions of an existing release study. Product volumes were projected for released and nonreleased conditions for a maximum rotation length of 30 yr. Three release levels, 95%, 75%, and 50%, were simulated. Annualized rates of return were calculated from age 10 for each 5 yr period up to age 30. Sensitivity tests estimated how changing release age, maximum height response, and timber product prices influenced results. South. J. Appl. For. 23(2):94-99.

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