scholarly journals Loblolly and Slash Pine Growth and Yield Prediction for Regional Timber Supply Projection Algorithms

1999 ◽  
Vol 23 (4) ◽  
pp. 230-237
Author(s):  
Bruce E. Borders ◽  
Jeffrey B. Jordan
Keyword(s):  
Loblolly Pine ◽  
Analysis Data ◽  
Growth And Yield ◽  
Yield Prediction ◽  
Projection Algorithms ◽  
Timber Supply ◽  
Usda Forest Service ◽  
Forest Inventory And Analysis ◽  
Pine Stands ◽  
Growth And Yield Models

Abstract Regional and national timber supply models require standing inventory update procedures. To date, most inventory update procedures used in regional timber supply algorithms have not made use of growth and yield methodology. We present growth and yield models to update standing inventories for natural and planted slash and loblolly pine stands in Georgia. These models were fitted to USDA Forest Service Forest Inventory and Analysis data obtained from the sixth survey of Georgia and should prove useful in regional timber supply projection algorithms. South. J. Appl. For. 23(4):230-237.

Estimating Fusiform Rust Losses in Five Southeast States

1986 ◽  
Vol 10 (4) ◽  
pp. 237-240 ◽  
Author(s):  
Robert L. Anderson ◽  
Joe P. McClure ◽  
Noel Cost ◽  
Robert J. Uhler
Keyword(s):  
Loblolly Pine ◽  
Forest Inventory ◽  
Slash Pine ◽  
Growth And Yield ◽  
Quality Loss ◽  
Forest Inventory And Analysis ◽  
Fusiform Rust ◽  
State Area

Abstract Annual losses to fusiform rust are estimated at over $35 million in the five States from Virginia to Florida. Losses were estimated by taking Forest Inventory and Analysis (FIA) data on fusiform rust through a series of growth and yield equations and sawtimber quality loss projections. The result is a system that estimates cordwood and sawtimber losses by state for loblolly and slash pine in natural and planted stands. Each time a state is resurveyed by FIA, a new estimate of loss can be made. This system applied to a 5-state area also shows that about 8.8 million acres of the 24 million acres of slash and loblolly pine have at least 10 percent of the trees infected. South. J. Appl. For. 10:237-240, Nov. 1986.

A Graphical Comparison of Loblolly Pine Growth-and-Yield Models

2013 ◽  
Vol 37 (3) ◽  
pp. 169-176 ◽  
Author(s):  
James E. Henderson ◽  
Scott D. Roberts ◽  
Donald L. Grebner ◽  
Ian A. Munn
Keyword(s):  
Loblolly Pine ◽  
Growth And Yield ◽  
Graphical Comparison ◽  
Growth And Yield Models

scholarly journals A New Diameter Distribution Model for Unmanaged Loblolly Pine Plantations in East Texas

2006 ◽  
Vol 30 (1) ◽  
pp. 13-20 ◽  
Author(s):  
Young-Jin Lee ◽  
Dean W. Coble
Keyword(s):  
Loblolly Pine ◽  
Pine Plantations ◽  
Growth And Yield ◽  
Distribution Model ◽  
Diameter Distribution ◽  
Yield Prediction ◽  
East Texas ◽  
Distribution Models ◽  
Parameter Recovery ◽  
Diameter Classes

Abstract A parameter recovery procedure for the Weibull distribution function based on four percentile equations was used to develop a diameter distribution yield prediction model for unmanaged loblolly pine (Pinus taeda L.) plantations in East Texas. This model was compared with the diameter distribution models of Lenhart and Knowe, which have been used in East Texas. All three models were evaluated with independent observed data. The model developed in this study performed better than the other two models in prediction of trees per acre and cubic-foot volume per acre (wood and bark, excluding stump) across diameter classes. Lenhart’s model consistently underestimated the larger-diameter classes because it was developed originally with data mostly collected in young plantations. Knowe’s model overestimated volume in sawtimber-sized trees, which could lead to overestimations of volume in older loblolly pine plantations found in East Texas. An example also is provided to show users how to use this new yield prediction system. These results support the recommendation that forest managers should use growth and yield models designed and/or calibrated for the region in which they are implemented.South. J. Appl.For. 30(1):13–20.

scholarly journals Modeling Forest Type Transitions in the Southcentral Region: Results from Three Methods

2003 ◽  
Vol 27 (3) ◽  
pp. 190-197 ◽  
Author(s):  
Xiaoping Zhou ◽  
John R. Mills ◽  
Lawrence Teeter
Keyword(s):  
Renewable Resources ◽  
Forest Type ◽  
Hybrid Approach ◽  
Analysis Data ◽  
Forest Types ◽  
Transition Matrices ◽  
Usda Forest Service ◽  
Forest Inventory And Analysis ◽  
The Future ◽  
Resources Planning

Abstract In recent years much interest has developed about the dynamics of forest type transitions, especially the transitions of land to and from southern pine plantations. This article presents 50-yr-forest type projections developed from two approaches to specifying the type transition matrices. One approach used transition matrices derived with remeasured plot data for six forest types using USDA Forest Service Forest Inventory and Analysis data. These data tracked transitions that occurred either naturally or artificially on inventory plots during one remeasurement cycle. The second approach relied on expert opinion surveys that predicted trends in the future of forest management. The transition matrices were developed from the responses regarding managers' intentions to regenerate stands following harvest. The survey was developed for the 2000 Forest and Rangeland Renewable Resources Planning Act Timber Assessment (2000 RPA). The timber inventories in eight states in the southcentral United States are projected with these methods of handling type transitions, and the results are compared to the 2000 RPA, which used a combination or hybrid approach to type transitioning. All three techniques conclude the area of planted pine is expected to increase well into the future. They are contradictory, however, in predicting the area other forest types will occupy, especially natural pine and upland hardwoods. Projections based on recent history give us one result; projections based on managers' intentions show another. South. J. Appl. For. 27(3):190–197.

scholarly journals Top Height Estimation in Lodgepole Pine Sample Plots

2005 ◽  
Vol 20 (1) ◽  
pp. 64-68 ◽  
Author(s):  
Oscar García ◽  
Adrian Batho
Keyword(s):  
Unit Area ◽  
Lodgepole Pine ◽  
Growth And Yield ◽  
Yield Prediction ◽  
Reference Area ◽  
Pine Stands ◽  
Improved Estimators ◽  
Spatial Size ◽  
Using Data ◽  
Two Alternatives

Abstract Top height definitions are often based on the heights of a certain number of the largest trees per unit area, such as the largest 100/ha. Recognizing that results vary with the extent of the reference area, this area is specified in the British Columbia definition, basing top height on the largest tree in a 0.01-ha plot. The problem is how to estimate top height when data is available for larger plots, without the information needed to subdivide them into 0.01-ha subplots. The usual largest 100/ha overestimates the correct value, and we find that the bias can be substantial. We evaluate two alternatives for natural lodgepole pine stands, using data from 0.04- and 0.08-ha sample plots. The improved estimators considerably reduce bias, although some bias due to spatial size autocorrelations remains. Autocorrelation was found to be predominantly positive, and some implications for growth and yield prediction are mentioned. West. J. Appl. For. 20(1):64–68.

Growth Reductions in Naturally Regenerated Southern Pine Stands in Alabama and Georgia

1991 ◽  
Vol 15 (2) ◽  
pp. 73-79 ◽  
Author(s):  
G. A. Ruark ◽  
C. E. Thomas ◽  
W. A. Bechtold ◽  
D. M. May
Keyword(s):  
Pinus Taeda ◽  
Growth Rates ◽  
Stand Structure ◽  
Basal Area ◽  
Stand Density ◽  
Site Quality ◽  
Usda Forest Service ◽  
Forest Inventory And Analysis ◽  
Pine Stands ◽  
Growth Differences

Abstract Data from Forest Inventory and Analysis (FIA) units of the USDA Forest Service were used to compare average annual stand-level basal area accretion onto survivor pines in naturally regenerated pine stands throughout Alabama and Georgia. Growth rates measured between 1972-82 were compared to growth rates during the previous 10-year survey cycle in each state. Separate analyses were conducted for loblolly (Pinus taeda), longleaf (P. palustris), shortleaf (P. echinata), and slash (P. elliottii) pine cover types. The unadjusted average stand-level growth rates for survivor pines 1.0 in. diameter and greater at breast height were notably lower for all cover types during the latter survey in Georgia, while only the average unadjusted growth of shortleaf was substantially lower during this period in Alabama. However, when growth rates were adjusted with regression models to account for differences in initial stand structure (stand size class, stand density, site quality class, hardwood competition, and mortality) between the two survey periods, reductions in average adjusted basal area growth ranged from 3% to 31% during the later cycle in both states. The reductions were statistically significant in almost every case. The agents causing the growth differences were not identified, but it is unlikely that stand dynamics are responsible. The observational nature of the FIA dataset precludes further resolution of causal relationships. South. J. Appl. For. 15(2):73-79.

scholarly journals A Comparison of Loblolly Pine Plantation Growth and Yield Models for Inventory Updating

1996 ◽  
Vol 20 (1) ◽  
pp. 15-22 ◽  
Author(s):  
James S. Shortt ◽  
Harold E. Burkhart
Keyword(s):  
Loblolly Pine ◽  
Growth And Yield ◽  
Diameter Distribution ◽  
Distribution Models ◽  
Tree Model ◽  
Individual Tree ◽  
Parameter Recovery ◽  
Individual Tree Model ◽  
The Individual ◽  
Growth And Yield Models

Abstract Four different loblolly pine growth and yield models were evaluated for the purpose of updating forest inventory data. The types of growth and yield models examined were: a whole stand, a diameter distribution-parameter prediction, a diameter distribution-parameter recovery, and an individual tree model. Three different approaches were used to create fitting and validation data sets from permanent plot remeasurement data; each of the four growth and yield models was evaluated at varying projection periods. The periods used were 0, 3, 6, and 9 yr. Evaluations were based solely on the capability of each model to predict merchantable volume. In terms of root mean square error of prediction, the individual tree and whole stand models performed better than the diameter distribution models. At shorter projection periods, the individual tree model performed better than the whole stand model, but the whole stand approach was superior at the 9 yr period. Of the diameter distribution models, the parameter recovery model performed better for shorter periods than the parameter prediction model, but this difference diminished with longer periods. South. J. Appl. For. 20(1):15-22.

Using Forest Inventory and Analysis Data to Support National Forest Management: Regional Case Studies

2020 ◽  
Vol 118 (3) ◽  
pp. 313-323 ◽  
Author(s):  
Coeli M Hoover ◽  
Renate Bush ◽  
Marin Palmer ◽  
Emrys Treasure
Keyword(s):  
Case Studies ◽  
Forest Inventory ◽  
Information Needs ◽  
Analysis Data ◽  
National Forest ◽  
Usda Forest Service ◽  
Forest Inventory And Analysis ◽  
Revision Process ◽  
Landscape Scales ◽  
The Many

Abstract Although many forestry practitioners have a general understanding of the Forest Inventory and Analysis (FIA) program and the type of data collected, most non-expert users of FIA reports and basic data are unlikely to be familiar with the breadth of information available and the many potential uses of the data. We present case studies from three USDA Forest Service regions to highlight a variety of applications of FIA data, from informing the forest plan revision process to supplying managers with timely information on important forest attributes at the stand and landscape scales. These examples illustrate the utility of FIA data in meeting managers’ information needs, the importance of the linkages between research and management throughout the agency, and the role that the FIA program can play in fostering those collaborations.

Hardwood Eradication Improves Productivity of Thinned Loblolly Pine Stands

1984 ◽  
Vol 8 (4) ◽  
pp. 194-197 ◽  
Author(s):  
T. R. Clason
Keyword(s):  
Pinus Taeda ◽  
Loblolly Pine ◽  
Volume Growth ◽  
Growth And Yield ◽  
Detectable Effect ◽  
Herbaceous Vegetation ◽  
Vegetation Control ◽  
Pine Stands ◽  
Pinus Taeda L

Abstract A single hardwood eradication treatment in a 7-year-old loblolly pine (Pinus taeda L.) stand along with pine stocking control increased growth and yield over a 10-year period. Herbaceous vegetation control had no detectable effect at ages 12 and 17. Treated plots had smaller stems, which could be controlled more readily by fire, although the number of understory stems was similar for all treatments. Mean annual radial and merchantable volume growth on treated plots surpassed controls by 30%. Future stand values were enhanced by removing hardwood competition. Residual stand sawtimber volumes on the treated plots were twice that of the control.

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