scholarly journals Compatible growth and yield equations for West Virginia yellow- poplar

1969 ◽  
Author(s):  
Bryce E. Schlaegel ◽  
D. L. Kulow
Keyword(s):  
West Virginia ◽  
Growth And Yield ◽  
Yellow Poplar

scholarly journals Comparison of Prediction Equations for Estimating Inside Bark Diameters for Yellow-Poplar, Red Maple, and Red Pine in West Virginia

2009 ◽  
Vol 26 (1) ◽  
pp. 5-8 ◽  
Author(s):  
John R. Brooks ◽  
Lichun Jiang
Keyword(s):  
West Virginia ◽  
Single Species ◽  
Prediction Equation ◽  
Red Pine ◽  
Red Maple ◽  
Nonlinear Prediction ◽  
Prediction Equations ◽  
Yellow Poplar ◽  
Taper Function ◽  
Almost All

Abstract The ability to predict inside bark diameters was investigated using taper data for red maple, red pine and yellow-poplar from several stands in West Virginia. Inside bark estimates were based on Grosenbaugh's STX prediction equations, a segmented polynomial taper function fitted to inside bark diameter data, an existing polynomial prediction equation published for several hardwood species in this region and a nonlinear prediction equation fitted to the taper data. Grosenbaugh's STX is a computer program for processing tree measurements and includes three equations to allow flexibility and greater accuracy in predicting inside bark upper stem diameters. The nonlinear equation had the smallest overall prediction error in almost all cases investigated. The taper function had the largest error but does not require knowledge of the specific upper stem outside bark diameter. No single STX bark option was found to be optimal for all species or for a single species from two different geographic regions.

scholarly journals Influence of Species on Site Selection and Timber Removal: A Case Study for West Virginia

2007 ◽  
Vol 24 (2) ◽  
pp. 146-148 ◽  
Author(s):  
William Luppold ◽  
Delton Alderman
Keyword(s):  
West Virginia ◽  
Sugar Maple ◽  
Considerable Change ◽  
Red Maple ◽  
Yellow Poplar ◽  
Tolerant Species ◽  
Shade Tolerant Species ◽  
Canopy Removal ◽  
Specific Species

Abstract Over the last 40 years the composition of West Virginia forests has been changing as selective cutting practices have removed larger-diameter timber of specific species and partial canopy removal has fostered the regeneration of shade-tolerant species such as red maple. However, since the mid-1990s there has been considerable change in the number of markets accepting lower-quality and smaller-diameter roundwood, especially yellow-poplar. These changes have increased the number of roundwood markets and thus have increased the potential for harvesting based on silvicultural objectives or clearcuts. An examination of harvesting and merchandising practices for 28 harvest sites in West Virginia found an average of four merchandising separations or markets per site. Although the presence of new markets may have increased the section of sites containing yellow-poplar and the removal of this species from these sites, the continuation of diameter-limit cutting seems to have the greatest effect on which trees are removed. This pattern of partial harvests continues to favor the regeneration of shade-tolerant species such as red and sugar maple.

scholarly journals Testing the Accuracy of Growth and Yield Models for Southern Hardwood Forests

2000 ◽  
Vol 24 (3) ◽  
pp. 176-185 ◽  
Author(s):  
H. Michael Rauscher ◽  
Michael J. Young ◽  
Charles D. Webb ◽  
Daniel J. Robison
Keyword(s):  
Test Data ◽  
Basal Area ◽  
Hardwood Forests ◽  
Growth And Yield ◽  
Bottomland Hardwoods ◽  
Average Error ◽  
Yellow Poplar ◽  
Data Set ◽  
Southern Appalachian ◽  
Growth And Yield Models

Abstract The accuracy of ten growth and yield models for Southern Appalachian upland hardwood forests and southern bottomland forests was evaluated. In technical applications, accuracy is the composite of both bias (average error) and precision. Results indicate that GHAT, NATPIS, and a locally calibrated version of NETWIGS may be regarded as being operationally valid growth and yield models for Southern Appalachian yellow-poplar (Liriodendron tulipifera) and mixed oak (Quercus spp.) forests that fall within the range of characteristics of the test data set. No publicly available growth and yield models specifically developed for southern bottomland hardwood forests exist. Four general models that contain most of the applicable species to predict growth of these forests were tested. SETWIGS was found to be the most accurate of the four models tested and is recommended for use if the reported level of accuracy is acceptable and the target stand characteristics fall within the range of our test data set. Results indicate that the growth and density dynamics of dense, young stands of both upland and bottomland hardwoods were poorly predicted by the models. Models predicted basal area and density changes in yellow-poplar stands more accurately than mixed hardwoods. Predictions for upland hardwoods were more accurate than those for bottomland hardwoods. Model accuracy uniformly decreases with increasing length of the projection period. South. J. Appl. For. 24(3):176-185.

scholarly journals Anamorphic Site Index Curves for Central Appalachian Red Spruce in West Virginia, USA

Forests ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 94
Author(s):  
Eric Yetter ◽  
John Brown ◽  
Sophan Chhin
Keyword(s):  
West Virginia ◽  
Acer Rubrum ◽  
Site Index ◽  
Red Spruce ◽  
Growth And Yield ◽  
Careful Examination ◽  
Betula Alleghaniensis ◽  
Red Maple ◽  
Fit Statistics ◽  
Traditional Age

Traditional site index curves are frequently produced for shade-intolerant species but are scarce for shade-tolerant species. Red spruce (Picea rubens Sarg.) can be found in three distinct geographic regions (northern, central, and southern) within the Appalachian Mountains. The one commonly used set of red spruce site index curves is over ninety years old. A definite need exists for a modern, regionally applicable set of site index curves. This research sampled 83 plots randomly located in the central Appalachians of West Virginia. Three sets of anamorphic site index curves were created after careful examination of height models built using Chapman-Richards and Meyer functions. One set of curves was constructed with traditional age height pairs. The second utilized a suppression-corrected age and height pair. The third set examined diameter at breast height (DBH) and height pairs. Fit statistics indicated better performance for the suppression-corrected age–height pair site index and the DBH–height pair site index versus the traditional age–height pair models. Site index conversion equations were also investigated for the red spruce age-corrected site index. Linear regression was used to determine significant geographic and climate variables and the utility of including site index values for red maple (Acer rubrum L.) and yellow birch (Betula alleghaniensis Britton) in the model to predict red spruce site index. Significant models were found for varying combinations of species site index, climate, and geographic variables with R2adj in the range of 0.139–0.455. These new site index curves and conversion equations should provide utility for site productivity estimation and growth and yield modeling while aiding in restoration efforts for this important central Appalachian species.

Predicting green and dry mass of yellow-poplar: an integral approachWest Virginia Agriculture and Forestry Experiment Station Scientific Article 2962.

2007 ◽  
Vol 37 (4) ◽  
pp. 786-794 ◽  
Author(s):  
John R. Brooks ◽  
Lichun Jiang ◽  
 Yujia Zhang
Keyword(s):  
West Virginia ◽  
Wood Density ◽  
Dry Mass ◽  
Integral Approach ◽  
Scientific Article ◽  
Yellow Poplar ◽  
Broadleaf Forest ◽  
Diameter Outside Bark ◽  
Top Mass ◽  
Density Equation

An integral approach to estimating stem green and dry masses for yellow-poplar (Liriodendron tulipifera L.) in West Virginia was compared with traditional ratio equation methods. The data were based on stem analysis of 26 trees from the Central Appalachian Broadleaf Forest province in northern West Virginia and 18 trees from the Eastern Broadleaf Forest province in west-central West Virginia. Sample disks were extracted from 0.3 m, 0.6 m, 1.37 m, 1.8 m, and then every 1.2 m to an approximate 7.6 cm top diameter outside bark. Sample trees ranged from 17.3 cm to 56.1 cm in diameter and from 18.8 m to 38.5 m in total height. The proposed equation generally performed better for the whole tree as well as for sections within the tree based on the nine relative height classes examined. A constant wood-density equation was superior to the use of a linear wood-density equation as a function of height above the ground. The proposed equation explained over 90% of the variation in stem mass and compared favorably with existing fixed merchantable top mass equations.

scholarly journals The SOHARC Model System for Growth and Yield of Southern Hardwoods

2008 ◽  
Vol 32 (4) ◽  
pp. 173-183 ◽  
Author(s):  
John Paul McTague ◽  
David O'Loughlin ◽  
Joseph P. Roise ◽  
Daniel J. Robison ◽  
Robert C. Kellison
Keyword(s):  
Tree Growth ◽  
Growth Models ◽  
Basal Area ◽  
Tree Height ◽  
Growth And Yield ◽  
Permanent Plots ◽  
Red Maple ◽  
Yellow Poplar ◽  
Individual Tree ◽  
Individual Tree Growth

Abstract A system of stand level and individual tree growth-and-yield models are presented for southern hardwoods. These models were developed from numerous permanent growth-and-yield plots established across 13 states in the US South on 9 site types, in even-aged (age classes from 20 to 60 years), fully stocked, naturally regenerated mixed hardwood and mixed hardwood-pine stands. Nested plots (⅕ and ac) were remeasured at 5-year intervals. The system of permanent plots was established and maintained by private and public members in the North Carolina State University Hardwood Research Cooperative. Stand level models are presented for dominant height, survival, basal area prediction and projection, and the ingrowth component. Individual tree diameter growth and tree height models were constructed for the most common species: sweetgum, tupelo, yellow-poplar, blackgum, and red maple. All other species were grouped according to growth dynamics into four species groups using cluster analysis. A ranking variable was incorporated into the individual tree growth models to account for competition.

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