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Articles 1 - 12 of 12
Full-Text Articles in Other Forestry and Forest Sciences
Project Report No. 59, Site Index Equations For Loblolly And Slash Pine Plantations In East Texas, Update: Fall 1997, Bryce Burke, Andy Burrow, Bob David, Jennifer Franke, John Hamilton, Jay Hein, Roger Hooper, Krissy Kimbro, Jeffrey Lester, Willie Newman, Doug Orms, Ann Pennell, Wiley Quarles, Joel Rudolph, Mike Sessions, Brandon White, Chris Wray
Project Report No. 59, Site Index Equations For Loblolly And Slash Pine Plantations In East Texas, Update: Fall 1997, Bryce Burke, Andy Burrow, Bob David, Jennifer Franke, John Hamilton, Jay Hein, Roger Hooper, Krissy Kimbro, Jeffrey Lester, Willie Newman, Doug Orms, Ann Pennell, Wiley Quarles, Joel Rudolph, Mike Sessions, Brandon White, Chris Wray
Informal Project Reports
Each published set of equations was developed from analyses of East Texas Pine Plantation Research Project (ETPPRP) data collected from the array of ETPPRP permanent research plots located throughout East Texas.
Project Report No. 57, Observed Growth Trends, Quadratic Mean Diameter, Loblolly And Slash Pine Plantations East Texas, J. David Lenhart, Jennifer Allen, Young-Jin Lee
Project Report No. 57, Observed Growth Trends, Quadratic Mean Diameter, Loblolly And Slash Pine Plantations East Texas, J. David Lenhart, Jennifer Allen, Young-Jin Lee
Informal Project Reports
No abstract provided.
Project Report No. 56, Observed Growth Trends, Basal Area Per Acre In Square Feet, Loblolly And Slash Pine Plantations East Texas, J. David Lenhart, Jennifer Allen, Young-Jin Lee
Project Report No. 56, Observed Growth Trends, Basal Area Per Acre In Square Feet, Loblolly And Slash Pine Plantations East Texas, J. David Lenhart, Jennifer Allen, Young-Jin Lee
Informal Project Reports
Observations fr9m the East Texas Pine Plantation Research Project were available for analysis in this study. We limdted the observations to site index classes 60. 70 and 80 feet. And age classes were set at three-year intervals.
Por each combination of site index and age class. an average observed basal area in square feet per acre was calculated.
Based on these values, HAl (mean annual increment) and CAl (current annual increment) were calculated.
The values are depicted in graphs on the next six pages.
Project Report No. 58, Observed Growth Trends, Average Total Height . . . Ten Tallest Trees, Loblolly And Slash Pine Plantations East Texas, J. David Lenhart, Jennifer Allen, Young-Jin Lee
Project Report No. 58, Observed Growth Trends, Average Total Height . . . Ten Tallest Trees, Loblolly And Slash Pine Plantations East Texas, J. David Lenhart, Jennifer Allen, Young-Jin Lee
Informal Project Reports
Observations from the East Texas Pine Plantation Research Project were available for analysis in this study. We limdted the observations to site index classes 60, 70 and 80 feet. And age classes were set at three-year intervals.
For each combination of site index and age class, an average observed total height of the ten tallest trees was calculated.
Based on these values, MAl (mean annual increment) and CAI (current annual increment) were calculated.
The values are depicted in graphs on the next six pages.
Project Report No. 54, Assessment Of Early Estimation Of Site Index, Loblolly Pine Plantations East Texas, J. David Lenhart, Jennifer Allen
Project Report No. 54, Assessment Of Early Estimation Of Site Index, Loblolly Pine Plantations East Texas, J. David Lenhart, Jennifer Allen
Informal Project Reports
Observations from the Bast Texas Pine Plantation Research Project were available for analysis in this study.
In particular, observations are available that track the development of loblolly pine plantation parameters, such as age and height during 14, 15 and 16 year periods of time.
Fortunately. many of the tracks begin with initial measurements in plantations that were less than 5 years old.
These particular data were analyzed in this study. The results are depicted on the next 6 pages.
Integrating Agroforestry Into Usda Programs: A Task Force Report To The Usda Interagency Working Group On Agroforestry, W. J. Rietveld, James P. Lassoie, Charles A. Francis, William Farris, Catalino Blanche, Bruce Wight
Integrating Agroforestry Into Usda Programs: A Task Force Report To The Usda Interagency Working Group On Agroforestry, W. J. Rietveld, James P. Lassoie, Charles A. Francis, William Farris, Catalino Blanche, Bruce Wight
United States Department of Agriculture, Forest Service / University of Nebraska-Lincoln: Faculty Publications
The task force collected and synthesized infonnation and recommended actions to develop the potential of agroforestry to help attain USDA sustainable development goals.
Project Report No. 53, Slash Pine Plantations In East Texas, Comparison Of Two Harvest Schedules . . ., J. David Lenhart, Jennifer Allen
Project Report No. 53, Slash Pine Plantations In East Texas, Comparison Of Two Harvest Schedules . . ., J. David Lenhart, Jennifer Allen
Informal Project Reports
Pine report discussing and treating various topics within the discipline.
Project Report No. 51, Slash Pine Plantations In East Texas, Thinned And Unthinned - Total Wood Flow Comparison, A Simulation, J. David Lenhart, Jennifer Allen
Project Report No. 51, Slash Pine Plantations In East Texas, Thinned And Unthinned - Total Wood Flow Comparison, A Simulation, J. David Lenhart, Jennifer Allen
Informal Project Reports
Report of a simulation model for the timing of thinning plantation management schedules.
Project Report No. 52, Location, Loblolly Pine, J. David Lenhart, Jennifer Allen
Project Report No. 52, Location, Loblolly Pine, J. David Lenhart, Jennifer Allen
Informal Project Reports
Discussion of location in respect to the Loblolly Pine.
Development Of A Predictive Habitat Evaluation Model For Gaillardia Aestivalis (Walt.) Rock. Var. Winkleri (Cory) Turner Using Gps, Remote Sensing And Gis Techniques, Dasyam Samuel Rajasekhar
Development Of A Predictive Habitat Evaluation Model For Gaillardia Aestivalis (Walt.) Rock. Var. Winkleri (Cory) Turner Using Gps, Remote Sensing And Gis Techniques, Dasyam Samuel Rajasekhar
Electronic Theses and Dissertations
Geographic Information Systems (GIS), Global Positioning Systems (GPS) and remote sensing techniques were utilized to characterize and subsequently predict potential habitat of Gaillardia aestivalis var. Winkleri, occurring in Hardin County, TX. Field investigations along with CIR positive aerial photographs were used to study local distribution and ecological requirements (soil, site, plant associations) of the plant. Data were obtained from paper maps, aerial photographs and a Landsat TM image. Sites occupied by G. aestivalis var. Winkleri were characterized as having highly acidic soils with poor nutrient content, good drainage and rapid permeability. Along with soil types, vegetation also is an important …
First Order Fire Effects Model: Fofem 4.0, User's Guide, United States Department Of Agriculture, Forest Service
First Order Fire Effects Model: Fofem 4.0, User's Guide, United States Department Of Agriculture, Forest Service
Forestry
A First Order Fire Effects Model (FOFEM) was developed to predict the direct consequences of prescribed fire and wildfire. FOFEM computes duff and woody fuel consumption, smoke production, and fire-caused tree mortality for most forest and rangeland types in the United States. The model is available as a computer program for PC or Data General computer.
Manufacturing Upholstered Furniture In The Southeastern U.S.: A Comparative Cost Assessment, Joshua O. Idassi, Steven H. Bullard
Manufacturing Upholstered Furniture In The Southeastern U.S.: A Comparative Cost Assessment, Joshua O. Idassi, Steven H. Bullard
Faculty Publications
The upholstered household furniture industry (SIC 25 12) is extremely important in the economies of Alabama, Mississippi, North Carolina, and Tennessee. This study uses a comparative cost approach to assess the differences that exist in the manufacturing and distribution of upholstered wood household furniture among southeast U.S. states. Secondary data for raw material, labor, and transportation costs were obtained from the U.S. Department of Commerce, Bureau of the Census, for 1982, 1987, and 1992. Total costs were estimated for raw material, labor, and transportation of the finished products. A simple cost index was constructed for each cost component. Analysis of …