Effect of early age woody and herbaceous competition control on wood properties of loblolly pine

Antony, Finto; Schimleck, Laurence R.; Jordan, Lewis; Clark, Amy L.; Daniels, Richard F.

doi:10.1016/j.foreco.2011.07.015

Cited by 19 publications

(16 citation statements)

References 18 publications

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“…The radial and longitudinal (i.e., at different tree heights) variations of SG in this study are consistent with previous studies on loblolly pine from plantations [69,70,77,78]. The within-tree variation in SG was captured in a model that predicted SG values against cambial age (Figure 1), while incorporating disk height in the model gave a better fit and showed that predicted values decreased with height in the tree.…”

Section: Discussionsupporting

confidence: 90%

“…Whereas here we sampled disks located between 5.2-m logs used in a lumber study, Mora et al [69] sampled only at breast height. Antony et al [70] also utilized the four-parameter logistic model for loblolly pine, but used the information mainly to estimate the relative proportions of corewood and outerwood.…”

Section: Discussionmentioning

confidence: 99%

“…Mora and Schimleck [74] compared three techniques for constructing within-tree wood properties maps using loblolly pine data derived from near-infrared spectroscopy calibration models and SilviScan. For determining the transition ages between corewood and outerwood, Clark III et al [16] used a different methodology than the first derivative approach used here, whereby segmented polynomials and threshold values were used to assign the transition, although Mora et al [69] and Antony et al [70] both used the latter approach. In all three studies, only breast height samples were analyzed and thus whole-tree and whole-log values were not described.…”

Section: Discussionmentioning

confidence: 99%

“…For loblolly pine, the four-parameter logistic function [68] has previously been used for modeling the variation of SG with cambial age [69,70]. Thus, for ring SG model 1 was:…”

Section: Specific Gravity Model Developmentmentioning

confidence: 99%

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Models for Predicting Specific Gravity and Ring Width for Loblolly Pine from Intensively Managed Plantations, and Implications for Wood Utilization

Dahlen

Auty

Eberhardt

2018

Forests

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Abstract:Loblolly pine (Pinus taeda L.) is increasingly grown on intensively managed plantations that yield high growth rates. Wood properties, including specific gravity (SG), change with cambial age, and thus intensively managed trees contain a high proportion of low density corewood when harvested because of reduced rotation lengths. This study was undertaken to develop models of ring-level properties (SG and width) in intensively managed loblolly pine plantations. Ninety-three trees from five stands aged from 24 to 33 years were harvested, and 490 disks were obtained from in between the 5.2-m logs that were cut, and at the merchantable top. The disks were cut into pith-to-bark radial strips that were scanned on an X-ray densitometer, and the resultant data analyzed using non-linear mixed-effects models. The fixed effects of the models, which included cambial age and for some models disk height and ring width, were able to explain 56, 46, 54, 16, and 46 percent of the within-tree variation for ring SG, ring width, latewood SG, earlywood SG, and latewood percent, respectively. To assess implications for wood utilization, a modeled tree was built by using height, diameter, and taper equations and these models were linked with the developed ring SG model to produce a tree properties map. The linked information was also used to generate tree and log SG and proportion of corewood values for different rotation ages. The results from this study are a step towards integrating wood quality models into growth-and-yield modeling systems that are important for loblolly pine plantation management.

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Section: Discussionsupporting

confidence: 90%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

“…For loblolly pine, the four-parameter logistic function [68] has previously been used for modeling the variation of SG with cambial age [69,70]. Thus, for ring SG model 1 was:…”

Section: Specific Gravity Model Developmentmentioning

confidence: 99%

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Models for Predicting Specific Gravity and Ring Width for Loblolly Pine from Intensively Managed Plantations, and Implications for Wood Utilization

Dahlen

Auty

Eberhardt

2018

Forests

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“…They stated that stand volume increased with number of years of sustained vegetation management, and that the relationship varied among conifer species. Antony et al (2011) [40] reported a similar growth response in loblolly pine (Pinus taeda L.), while Watt et al (2005) [41] also reported a positive response in radiata pine (Pinus radiata D. Don) grown in New Zealand.…”

Section: Discussionmentioning

confidence: 99%

Effects of Vegetation Management on Wood Properties and Plant Water Relations of Four Conifer Species in the Pacific Northwest of the USA

Aernouts

Gonzalez‐Benecke

Schimleck

2018

Forests

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Abstract:In plantation forests, competition from unwanted vegetation may reduce survival and negatively impact tree growth. The goal of this study was to examine the influence of vegetation management treatments on plant water relations and wood properties. Control trees (no treatment) were compared to trees subjected to post-planting competing vegetation control for five consecutive years after planting. Four conifer species (Douglas-fir, western hemlock, western redcedar, and grand fir) were studied on two different sites in western Oregon, USA. Carbon isotope ( 13 C) analysis was used to study intrinsic water use efficiency (iWUE) and X-ray densitometry was used to measure specific gravity, ring width, and latewood percent. We found a significant interaction between vegetation management treatment and wood ring (growing season) in iWUE for Douglas-fir. There was little effect of vegetation management treatment on ring specific gravity for all species. Only western redcedar growing at a central Coast Range site showed increased ring specific gravity under sustained competing vegetation control. When growing under conditions of sustained control of competing vegetation, western redcedar at a central Coast Range site had a significant increase in earlywood specific gravity, while Douglas-fir at a Cascade Foothills site had a significant decrease in latewood specific gravity. Western redcedar and grand fir had a significant interaction-effect on its latewood percentage, with treatment trees having a higher latewood percentage than control trees after ring 8. Further, Douglas-fir and western hemlock had a significant increase in ring, earlywood, and latewood area with treatment, and grand fir had a significant interaction-effect of treatment × ring for ring, earlywood, and latewood area. This study indicates that, for conifer trees growing under sustained vegetation control, growth gains could be achieved without compromising wood properties. However, if harvested at a target diameter, these trees will have a larger proportion of low quality corewood compared to trees from conventionally managed stands.

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Modeling Wood Characteristics

Burkhart

Tomé²

2012

Modeling Forest Trees and Stands

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Effect of early age woody and herbaceous competition control on wood properties of loblolly pine

Cited by 19 publications

References 18 publications

Models for Predicting Specific Gravity and Ring Width for Loblolly Pine from Intensively Managed Plantations, and Implications for Wood Utilization

Models for Predicting Specific Gravity and Ring Width for Loblolly Pine from Intensively Managed Plantations, and Implications for Wood Utilization

Effects of Vegetation Management on Wood Properties and Plant Water Relations of Four Conifer Species in the Pacific Northwest of the USA

Modeling Wood Characteristics

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