Predicting Thinning Volumes for Pine Plantations

1978 ◽  
Vol 2 (2) ◽  
pp. 59-61
Author(s):  
Richard C. Field ◽  
Jerome L. Clutter ◽  
Earle P. Jones
Keyword(s):  
Basal Area ◽  
Slash Pine ◽  
Pine Plantations ◽  
Number Of Stems

Abstract Equations are presented for estimating the volume removed in thinning from below when the desired reduction in basal area or number of stems is known. The estimators are based on data from slash pine plantations but the methods may be useful for other species.

Fertilized Midrotation-Aged Slash Pine Plantations—Stand Structure and Yield Prediction Models

1989 ◽  
Vol 13 (2) ◽  
pp. 76-80 ◽  
Author(s):  
Robert L. Bailey ◽  
Thomas M. Burgan ◽  
Eric J. Jokela
Keyword(s):  
Prediction Models ◽  
Stand Structure ◽  
Basal Area ◽  
Slash Pine ◽  
Pine Plantations ◽  
Individual Tree ◽  
Investment Opportunities ◽  
User Friendly ◽  
Volume Equations ◽  
Soil Groups

Abstract Data from 263 plots in a regional fertilization study of midrotation-aged slash pine plantations were used to fit prediction equations for basal area, trees per acre, stand average dominant height, diameter distributions, and individual tree heights. The equations include N and P fertilizationrates and CRIFF soil groups as predictor variables. The survival model also accounts for the accelerating effect of fusiform rust on mortality rate. Using published tree volume equations, the prediction of volumes by dbh class for fertilized slash pine plantations is now possible. This integratedsystem of equations is available as a user-friendly computer program that can calculate expected yields by diameter class and aid the forester in evaluating investment opportunities that include forest fertilization. South. J. Appl. For. 13(2):76-80.

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.

Postthinning growth and yield of row-thinned and selectively thinned loblolly and slash pine plantations

1989 ◽  
Vol 19 (2) ◽  
pp. 247-256 ◽  
Author(s):  
V. C. Baldwin Jr. ◽  
D. P. Feduccia ◽  
J. D. Haywood
Keyword(s):  
Loblolly Pine ◽  
Unit Area ◽  
Basal Area ◽  
Site Index ◽  
Slash Pine ◽  
Pine Plantations ◽  
Growth And Yield ◽  
Growth Responses ◽  
Diameter Increment ◽  
Study Results

This study compared growth responses in planted loblolly pine (Pinustaeda L.) and slash pine (P. elliottii Engelm.) stands thinned by using three row-felling methods and at the same density levels, three selective felling methods. The study plots were in six plantations, aged 15–22 years, located in central Louisiana. Growth was measured 5 and 10 years after plot installation. Site index varied from 19.5 to 31.7 m (base age 50) and initial planting densities ranged from 1993 to 2989 trees/ha. Study results show there will likely be less diameter increment and less net basal area and cubic-metre volume per unit area growth and yield, and the growth will be in smaller-sized trees, if row thinning is used rather than selective thinning from below. These differences will probably be greater in slash pine plantations than in loblolly pine plantations.

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.

Southern Pine Beetle: Factors Associated with Spot Occurrence and Spread in Young Plantations

1988 ◽  
Vol 12 (3) ◽  
pp. 208-214 ◽  
Author(s):  
R. Scott Cameron ◽  
Ronald F. Billings
Keyword(s):  
Loblolly Pine ◽  
Basal Area ◽  
Tree Height ◽  
Pinus Elliottii ◽  
Slash Pine ◽  
Dendroctonus Frontalis ◽  
Pine Plantations ◽  
Southern Pine Beetle ◽  
Southern Pine ◽  
Pine Beetle

Abstract An inventory of 167,316 ac of 5- to 15-year-old plantations of slash pine (Pinus elliottii Engelm.) or loblolly pine (P. taeda L.) or both in east Texas revealed that infestations (spots) of the southern pine beetle, Dendroctonus frontalis Zimm., occurred in plantations of all ages greater than 5 years. Infestation frequency ranged from 0.1 spots/1000 ac for 6-year-old plantations to 6 to 8 spots/1000 ac for 12- to 15-year-old plantations in 1985. Analyses of subsets of plantation inventories revealed that spots were more frequent in loblolly pine plantations than in slash pine plantations, and more frequent in plantations that had been prescribed-burned. An intensive study of 34 individual spots showed that spot initiation was often associated with stand disturbance but not with intraplantation variations in stand parameters. In turn, regression analyses revealed that the initial number of active trees (spot size) was directly correlated with pine basal area/ac. Rate of summer spot growth in uncontrolled infestations was most strongly correlated with number of active (brood) trees and weakly correlated with tree height and pine basal area/ac. Spots tended to grow faster in loblolly plantations than in those with slash pine. Mean spot growth rates were markedly less within young plantations than rates documented in earlier studies for natural pulpwood and sawtimber stands. A field guide for setting control priorities for beetle infestations in young plantations is provided. South. J. Appl. For. 12(3):208-214.

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.

scholarly journals Zur Auswirkung der Hangneigungskorrektur auf Schätzwerte im Schweizerischen Landesforstinventar (LFI) | Investigation of the effect of the slope correction method as applied in the Swiss National Forest Inventory of estimates

2001 ◽  
Vol 152 (6) ◽  
pp. 215-225 ◽  
Author(s):  
Michael Köhl ◽  
Peter Brassel
Keyword(s):  
Forest Inventory ◽  
Basal Area ◽  
Correction Method ◽  
National Forest Inventory ◽  
National Forest ◽  
Average Deviation ◽  
Forest Inventories ◽  
Slope Correction ◽  
Number Of Stems ◽  
Elliptical Area

For forest inventories on slopes, it is necessary to correct the test areas, because the circular areas, when projected, become elliptical. Based on 93 samples from the Swiss National Forest Inventory (FNI), it was determined whether the simplified method, which increases the radius to match that of the elliptical area, leads to a distortion of the results. An average deviation of 2% was found between the FNI estimated values and the actual values for the basal area and the number of stems. For estimations of smaller units, greater distortions of the results are expected.

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