Soil-moisture depletion under three southern pine plantations in East Texas

Abstract Eleven climatic variables, recorded during the period 1966-76, were used to develop a multiple linear regression model for predicting potential number of southern pine beetle (SPB) infestations for east Texas. Four climatic variables were significantly (P < 0.05) related to numbers of SPB infestations. These were (1) mean temperature for February of current year, (2) total rainfall for previous summer, (3) total rainfall for previous fall, and (4) total rainfall for previous spring. The regression analysis accounted for 90.7 percent of the variation in yearly numbers of SPB infestations.

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Fusiform Rust Trends in East Texas: 1969-1987

Southern Journal of Applied Forestry ◽

10.1093/sjaf/12.4.259 ◽

1988 ◽

Vol 12 (4) ◽

pp. 259-261 ◽

Cited By ~ 1

Author(s):

J. David Lenhart ◽

W. Thomas McGrath ◽

Terry L. Hackett

Keyword(s):

Pinus Taeda ◽

Loblolly Pine ◽

Pinus Elliottii ◽

Slash Pine ◽

Pine Plantations ◽

East Texas ◽

Infection Rates ◽

Fusiform Rust ◽

Cronartium Quercuum ◽

Pinus Taeda L

Abstract Five surveys of pine plantations in East Texas over an 18-year period (1969-1987) indicated that fusiform rust (Cronartium quercuum [Berk.] Miyabe ex Shirai f. sp. fusiforme Birdsall and Snow) infection rates have increased to current levels of about 50% on slash pine (Pinus elliottii Engelm.) and are continuing to increase on loblolly pine (Pinus taeda L.) to 10-15% levels. South. J. Appl. For. 12(4):259-261.

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Influence of Planting Density on Diameter and Height in East Texas Pine Plantations

Southern Journal of Applied Forestry ◽

10.1093/sjaf/22.4.241 ◽

1998 ◽

Vol 22 (4) ◽

pp. 241-244 ◽

Cited By ~ 2

Author(s):

Young-Jin Lee ◽

J. David Lenhart

Keyword(s):

Average Diameter ◽

Pinus Elliottii ◽

Pine Plantations ◽

Planting Density ◽

Permanent Plots ◽

Average Height ◽

East Texas ◽

Age Classes ◽

Younger Age ◽

Pinus Taeda L

Abstract The response of diameter and height of unthinned planted stands loblolly (Pinus taeda L.) and slash (Pinus elliottii Engelm.) pine in East Texas to different classes of planting densities were analyzed. After tracking the development of diameter and height for 15 yr on a set of permanent plots representing a broad range of plantation parameters, average diameter and average height trends were observed. For both species, average diameter values were significantly larger with lower planting densities. In contrast, average height growth is insensitive to planting density at younger age classes for loblolly and at older age classes for slash pine plantations. South. J. Appl. For. 22(4):241-244.

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

Southern Journal of Applied Forestry ◽

10.1093/sjaf/30.1.13 ◽

2006 ◽

Vol 30 (1) ◽

pp. 13-20 ◽

Cited By ~ 3

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.

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A New Whole-Stand Model for Unmanaged Loblolly and Slash Pine Plantations in East Texas

Southern Journal of Applied Forestry ◽

10.1093/sjaf/33.2.69 ◽

2009 ◽

Vol 33 (2) ◽

pp. 69-76 ◽

Cited By ~ 5

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.

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