A Density-Management Diagram for Slash Pine Plantations in the Lower Coastal Plain

1992 ◽  
Vol 16 (4) ◽  
pp. 178-185 ◽  
Author(s):  
Thomas J. Dean ◽  
Eric J. Jokela
Keyword(s):  
Coastal Plain ◽  
Pinus Elliottii ◽  
Slash Pine ◽  
Pine Plantations ◽  
Growth And Yield ◽  
Graphical Form ◽  
Annual Increment ◽  
Growing Stock ◽  
Management Regimes ◽  
Lower Coastal Plain

Abstract Data from 92 regional, midrotation-fertilizer trials were used to develop a density-management diagram for site-prepared slash pine (Pinus elliottii var. elliottii) plantations. The density-management diagram shows the interrelationships of five important stand variables (i.e., quadraticmean diameter (Dq), trees/ac, site height, standing volume/ac, and relative current annual increment) in a graphical form. The diagram can aid foresters in designing and comparing alternative density-management regimes for slash pine. In doing so, foresters can evaluate individualtree and stand level performances in relation to growing stock levels and make field approximations of growth and yield for various density-management regimes. Results indicated that fertilization and soil type had minimal effects on the diagram's isolines. This suggests broad applicabilityof the diagram for fertilized or unfertilized plantations found in the lower Coastal Plain. The use of the diagram is illustrated with three alternative density-management regimes, and a method is presented for estimating midrotation fertilization responses. South. J. Appl. For. 16(4):178-185

Tree Volume and Taper Functions for Site-Prepared Plantations of Slash pine

1980 ◽  
Vol 4 (3) ◽  
pp. 139-142 ◽  
Author(s):  
G. H. Brister ◽  
J. L. Clutter ◽  
T. M. Skinner
Keyword(s):  
Coastal Plain ◽  
Pinus Elliottii ◽  
Slash Pine ◽  
Growth And Yield ◽  
Forest Industry ◽  
Yield Information ◽  
Lower Coastal Plain ◽  
Volume Equations

Abstract Forest industry in the lower coastal plain of Georgia and Florida is becoming increasingly dependent on harvests from site-prepared plantations. Sound planning for utilization of this plantation resource requires the availability of adequate growth and yield information. This paper presents total and merchantable tree volume equations for cubic foot volumes outside- and inside-bark and taper relationships derived from these equations. The equations are based on 677 trees sampled from 174 site-prepared slash pine (Pinus Elliottii Engelm.) plantations in the flatwoods of Georgia and Florida.

Predicting Diameter Distributions for Site-Prepared Loblolly and Slash Pine Plantations

1992 ◽  
Vol 16 (3) ◽  
pp. 130-133 ◽  
Author(s):  
John R. Brooks ◽  
Bruce E. Borders ◽  
Robert L. Bailey
Keyword(s):  
Pinus Taeda ◽  
Coastal Plain ◽  
Pinus Elliottii ◽  
Slash Pine ◽  
Pine Plantations ◽  
Recovery Method ◽  
Parameter Recovery ◽  
Pinus Taeda L ◽  
Lower Coastal Plain ◽  
Diameter Distributions

Abstract Prediction equations for four distribution percentiles and a parameter recovery method together give Weibull-based diameter distributions for site-prepared plantations of loblolly (Pinus taeda L.) and slash (Pinus elliottii Engelm.) pine. Separate sets of equations for the piedmont,upper coastal plain, and lower coastal plain provinces resulted from an analysis of extensive data for both species. South. J. Appl. For. 16(3):130-133.

Yield Prediction for Mechanically Site-Prepared Slash Pine Plantations

1990 ◽  
Vol 14 (3) ◽  
pp. 104-109 ◽  
Author(s):  
Leon V. Pienaar ◽  
Henry H. Page ◽  
John W. Rheney
Keyword(s):  
Coastal Plain ◽  
Solid Wood ◽  
Slash Pine ◽  
Pine Plantations ◽  
Yield Prediction ◽  
Management Regimes ◽  
Solid Wood Product ◽  
Permanent Sample Plot ◽  
Projection Equations ◽  
Lower Coastal Plain

Abstract Simultaneous yield prediction and projection equations are presented for both unthinned and thinned site-prepared slash pine plantations in the lower coastal plain of Georgia and north Florida. These equations were developed from permanent sample plot data representing different planting densities and thinning intensities, replicated at 29 locations throughout the region. An equation is also provided to estimate different solid wood product yields, thus providing information for a realistic evaluation of management regimes with different planting densities, with or without thinning. South. J. Appl. For. 14(3):104-109.

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.

Effect of Soil Type and Site-Preparation Method on Growth and Yield of Flatwoods Slash Pine Plantations

1979 ◽  
Vol 3 (3) ◽  
pp. 95-100 ◽  
Author(s):  
Barry D. Shiver ◽  
James C. Fortson
Keyword(s):  
South Carolina ◽  
Soil Type ◽  
Preparation Method ◽  
Pinus Elliottii ◽  
Site Preparation ◽  
Slash Pine ◽  
Pine Plantations ◽  
Growth And Yield ◽  
Percent Survival ◽  
Lower Site

Abstract Analysis of measurements from slash pine (Pinus elliottii Engelm.) plantations in the flatwoods of Georgia, Florida, and South Carolina showed that plantations located on areas where debris had been moved (KG, bulldozed, rootraked, etc.) had significantly higher site indices than plantations located on comparable areas where debris had not been moved. Plantations located on spodic soils had significantly lower site indices than plantations located on nonspodic soils. While these differences were statistically significant, they were generally less than 2 feet at age 25. Neither volume nor percent survival was significantly affected by site-preparation classes or soils groups.

scholarly journals Growth and Yield Predictions for Lower Coastal Plain Slash Pine Plantations Fertilized at Mid-Rotation

1999 ◽  
Vol 23 (1) ◽  
pp. 39-45 ◽  
Author(s):  
Stacey W. Martin ◽  
Robert L. Bailey ◽  
Eric J. Jokela
Keyword(s):  
Basal Area ◽  
Pinus Elliottii ◽  
Slash Pine ◽  
Pine Plantations ◽  
Growth And Yield ◽  
Diameter Distribution ◽  
Cooperative Research ◽  
Fertilization Program ◽  
Permanent Sample Plots ◽  
Soil Group

Abstract We present a new system of equations for slash pine plantations (Pinus elliottii Engelm. var. elliottii) that express the combined effects of CRIFF (Cooperative Research in Forest Fertilization Program) soil group and mid-rotation nitrogen (N) and phosphorus (P) fertilization on survival, basal area growth or yield, dominant height growth and the stand diameter distribution. A diameter growth model that accepts an initial diameter distribution (or tree list)provides the ability to predict future diameter distributions. Predictor variables include combinations of three mid-rotation fertilizer treatments: (1) no fertilizer; (2) N only (150 lb/ac elemental), (3) N and P (150 lb/ac and 50 lb/ac elemental, respectively) and three CRIFF soil groups: (1) B soils (e.g., Arenic Paleaquult), (2) C soils (e.g., Ultic Haplaquod), and (3) D soils (e.g., Grossarenic Haplaquod). These models derive from analyses on data taken in 243 permanent sample plots, some having been remeasured up to 6 times at 2 yr intervals, located in slash pine plantations on prepared sites. The models predict that fertilization with N and P at age 15 will result in around 30% (462 ft3/ac) more cumulative merchantable growth by age 25 for a typical site-index-60 plantation growing on CRIFF soil group B. South. J. Appl. For. 23(1):39-45.

Oracella acuta (loblolly pine mealybug).

2021 ◽  
Author(s):  
Paris Lambdin
Keyword(s):  
Pinus Taeda ◽  
Loblolly Pine ◽  
Natural Enemies ◽  
Food Source ◽  
Guangdong Province ◽  
Seed Orchard ◽  
Pinus Elliottii ◽  
Slash Pine ◽  
Pine Plantations ◽  
The Usa

Abstract This species has had limited distribution from its native habitats in the southern region of the USA since its discovery and description (Lobdell, 1930). O. acuta appears to be restricted to feeding on species of pines and loblolly pine, Pinus taeda, is its preferred food source. In its native habitat, populations seldom reach pest status due to the presence of natural enemies. In 1988, it was transported to a pine seed orchard in China on slash pine, Pinus elliottii, scions purchased in the USA. Sun et al. (1996) noted that O. acuta-infested slash pine scions leaving the USA and entering China in 1988 were not subjected to the quarantine restrictions of either country. The loblolly pine mealybug quickly became established and rapidly spread throughout pine plantations in the Guangdong Province, China where it threatens both native and introduced species of pines in the region.

scholarly journals Depth-Dependent C-N-P Stocks and Stoichiometry in Ultisols Resulting from Conversion of Secondary Forests to Plantations and Driving Forces

Forests ◽  
2021 ◽  
Vol 12 (10) ◽  
pp. 1300
Author(s):  
Xiaogang Ding ◽  
Xiaochuan Li ◽  
Ye Qi ◽  
Zhengyong Zhao ◽  
Dongxiao Sun ◽  
...  
Keyword(s):  
Soil Depth ◽  
Soil Layer ◽  
Pinus Elliottii ◽  
Slash Pine ◽  
Pine Plantations ◽  
Secondary Forests ◽  
Masson Pine ◽  
Soil Layers ◽  
Soil C ◽  
Significant Difference

Stocks and stoichiometry of carbon (C), nitrogen (N), and phosphorus (P) in ultisols are not well documented for converted forests. In this study, Ultisols were sampled in 175 plots from one type of secondary forest and four plantations of Masson pine (Pinus massoniana Lamb.), Slash pine (Pinus elliottii Engelm.), Eucalypt (Eucalyptus obliqua L’Hér.), and Litchi (Litchi chinensis Sonn., 1782) in Yunfu, Guangdong province, South China. Five layers of soil were sampled with a distance of 20 cm between two adjacent layers up to a depth of 100 cm. We did not find interactive effects between forest type and soil layer depth on soil organic carbon (SOC), total nitrogen (TN), and total phosphorus (TP) concentrations and storages. Storage of SOC was not different between secondary forests and Eucalypt plantations, but SOC of these two forest types were lower than that in Litchi, Masson pine, and Slash pine plantations. Soil C:P was higher in Slash pine plantations than in secondary forests. Soil CNP showed a decreasing trend with the increase of soil depth. Soil TP did not show any significant difference among soil layers. Soil bulk density had a negative contribution to soil C and P stocks, and longitude and elevation were positive drivers for soil C, N, and P stocks. Overall, Litchi plantations are the only type of plantation that obtained enhanced C storage in 0–100 cm soils and diverse N concentrations among soil layers during the conversion from secondary forests to plantations over ultisols.

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