Effects of Simulated Ice Storm Damage on Midrotation Loblolly Pine Stands

Dipesh, K.C.; Will, Rodney E.; Hennessey, Thomas; Lynch, Thomas B.; Heinemann, Robert; Holeman, Randal; Wilson, Dennis

doi:10.5849/forsci.14-060

Cited by 3 publications

(3 citation statements)

References 23 publications

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“…Dipesh et al [37] simulated ice damage in southeastern Oklahoma to study the post-ice-damage effects and concluded that stands can recover from moderate ice storm damage without large loss in production [37]. Our study also supported this opinion.…”

Section: Restoration and Management Of Forest After Disastersupporting

confidence: 82%

Resprouting Responses Dynamics of Schima superba Following a Severe Ice Storm in Early 2008 in Southern China: A Six-Year Study

Cao

Zhou

Wang

et al. 2020

Forests

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In 2008, an unexpected and severe ice storm affected the forest of southern China. This storm caused damage in regeneration of an important dominant tree, Schima superba (Gugertree). To study this damage, we set up permanent monitoring plots in an ice-storm-damaged subtropical evergreen broad-leaved secondary forest dominated by S.superba in Jianglang Mountains, China. We surveyed the damage to all trees with a minimum basal diameter of 4 cm and monitored their growth for 6 consecutive years. We analyzed the degrees and types of damage for S.superba and their relationships with resprouting characteristics. The results revealed that the main damage types of S.superba were decapitation (45.45%) and uprooting (28.41%). The distribution percentage for both decapitated and uprooted trees were commonly highest in the range of 10–16 cm basal diameter (BD) size class. A great number of individuals sprouted vigorously after the storm. The mean total sprout number and sprout biomass per tree for S.superba varied by tree BD size class. During the first three years after the ice storm, decapitated trees of larger BD classes produced more sprouts per tree than trees of smaller BD classes. However, the opposite trend was seen in uprooted and leaning trees. There was a trade-off between the total number and length of the sprouts. The difference of mean sprouts number and biomass per tree with size class was mainly related to the damage types. As the recovery progressed since the ice storm, the number of sprouts and sprout biomass in uprooted trees was found mainly on the middle trunk sections of uprooted trees, but in the upper sections of decapitated trees. After six years, the mean number of sprouts per tree, on different parts of the tree and for the three types of damaged trees all declined; however, sprout biomass per tree all increased. The mean number of sprout and sprout biomass per tree on different sections for decapitated trees was always highest over time since the storm. Our study will help to provide data on resprouting ability to develop a predictive model for resprouting.

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Section: Restoration and Management Of Forest After Disastersupporting

confidence: 82%

Resprouting Responses Dynamics of Schima superba Following a Severe Ice Storm in Early 2008 in Southern China: A Six-Year Study

Cao

Zhou

Wang

et al. 2020

Forests

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“…While the extent and nature of storm damage can be related to family-based vulnerabilities (e.g., Xiong et al, 2010;Pile et al, 2016), insufficient evidence and control in this progeny test (coupled with post-event salvage) prevented further evaluation of a genetic link. While under some conditions genetics could prove a confounding analytical factor, such a storm two decades in the past is not likely to meaningfully influence the interpretation of these data, especially given that southern pines usually quickly recover lost height after top damage (e.g., Wiley and Zeide, 1991;Dipesh et al, 2015).…”

Section: Measurements Analysismentioning

confidence: 99%

A Reevaluation of Superior Tree Performance After 48 Years for a Loblolly Pine Progeny Test in Southern Arkansas

Bragg

2021

Front. For. Glob. Change

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A plus-tree progeny test of full- and half-sib “superior” loblolly pine (Pinus taeda) was installed in 1969 on the Crossett Experimental Forest (CEF) to consider the performance of 28 improved families with unimproved planting stock from the CEF (family W29). Performance was evaluated using data from young (3-year-old; early 1970s), maturing (25-year-old; 1994), and mature (48-year-old; 2017) trees. With the exception of a single improved family, early survival was high (>80%), with most families exceeding 90%. Three years post-planting, fusiform rust infection rates were also low, with most families having less than 1% of seedlings infected. At this early stage, the unimproved CEF family W29 only slightly underperformed the best full- and half-sib superior families. By 1994, W29 had slightly higher than average merchantable volume. This trend continued for W29 when remeasured in 2017, with the average merchantable volume yield for W29 statistically similar to the most productive families. This study found only limited volume performance gains from crossing plus-trees. However, it was important to note that several of the best height growth-performing families in 1972 were not the highest merchantable volume producers at 25 or 48 years, and some of the worst early performers moved into the upper tiers by the later remeasurements. These outcomes suggest that depending solely on early height performance to select families for long-term (>50 year) volume (especially if adjusted for wood density) or biomass yields may not be the best approach for forest managers seeking to increase carbon sequestration.

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“…Arkansas, Louisiana, Mississippi, and Texas are major timber-producing States, comprising 53% of the total timber growing stock volume in this region [4]. This subregion has predominantly pine plantation with the most potential for loblolly pine plantation expansion [5,6]. Most of the forests in the region are owned by non-industrial private forest landowners, followed by Timberland Investment Management…”

Section: Introductionmentioning

confidence: 99%

Modeling Prices for Sawtimber Stumpage in the South-Central United States

Parajuli¹,

Tanger

Joshi

et al. 2016

Forests

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Abstract:The South-Central United States, which includes the states of Louisiana, Mississippi, Texas, and Arkansas, represents an important segment of the softwood sawtimber market. By using the Seemingly Unrelated Regression (SUR) method to account for the linkage among the four contiguous timber markets, this study examines the dynamics of softwood sawtimber stumpage markets within the region. Based on quarterly data from 1981 to 2014, the findings reveal that both pulpwood and chip-and-saw (CNS) prices have a positive influence on the Texas and Arkansas sawtimber markets. Moreover, Granger-causality tests suggest that unidirectional causality runs from pulpwood and CNS markets to the respective sawtimber market. Compared to the pre-financial crisis period, sawtimber prices in these four states are 9%-17% lower in the recent years.

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Effects of Simulated Ice Storm Damage on Midrotation Loblolly Pine Stands

Cited by 3 publications

References 23 publications

Resprouting Responses Dynamics of Schima superba Following a Severe Ice Storm in Early 2008 in Southern China: A Six-Year Study

Resprouting Responses Dynamics of Schima superba Following a Severe Ice Storm in Early 2008 in Southern China: A Six-Year Study

A Reevaluation of Superior Tree Performance After 48 Years for a Loblolly Pine Progeny Test in Southern Arkansas

Modeling Prices for Sawtimber Stumpage in the South-Central United States

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