Stem profile of red oaks in a bottomland hardwood restoration plantation forest in the Arkansas Delta (USA)

IF 1.5 4区 农林科学 Q2 FORESTRY Iforest - Biogeosciences and Forestry Pub Date : 2022-06-30 DOI:10.3832/ifor4057-015
N. Tian, J. Gan, M. Pelkki
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Abstract

Bottomland hardwoods are among the most diverse and productive forest ecosystems in the southeastern United States and are critically important for the provision of timber and non-timber ecosystem services. Red oaks, the dominant species in this group of forests, are of high ecological and economic value. Stem profile models are essential for accurately estimating the merchantable volume of oak trees, which is also closely indicative of total tree biomass and other ecosystem services given their allometric relationships. This study aims to develop and compare stem profiles among three red oak species in an 18-year old plantation forest using destructive sampling. Sixty trees randomly selected from an oak restoration plantation in the Arkansas Delta were felled for measuring the diameter-outside-bark (DOB) and diame-ter-inside-bark (DIB) at different stem heights. These sample composed of twenty trees from each of three species: cherry bark oak (CBO – Quercus pagoda Raf), Nuttall oak (NUT – Quercus texana Buckley), and Shumard oak (SHU – Quercus shumardii Buckl). Multiple models, including the segmented-profile model, form-class profile model, and second-and third-order polynomial models were fitted and compared. Results demonstrate that the form-class profile model was the best fitted for CBO and NUT, whereas the third-order polynomial model was the best for SHU. CBO tends to grow taller and has a higher wood density than NUT and SHU. These findings will inform restoration and management decisions of bottomland hardwood forests, especially red oaks in the region.
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美国阿肯色三角洲低洼地阔叶林恢复人工林红栎树茎剖面
洼地硬木是美国东南部最多样化和最多产的森林生态系统之一,对提供木材和非木材生态系统服务至关重要。红橡树是该林群的优势树种,具有很高的生态价值和经济价值。树干剖面模型对于准确估计橡树的可售体积是必不可少的,它也密切指示树木总生物量和其他生态系统服务,因为它们的异速生长关系。本研究旨在利用破坏性取样法,对某18年树龄人工林中3种红橡树的茎秆剖面进行研究和比较。在阿肯色三角洲的一个栎树恢复人工林中,随机抽取60棵栎树进行采伐,测定了不同茎高下栎树的树皮直径(DOB)和树皮直径(DIB)。这些样本由三种树种的各20棵树组成:樱桃树皮栎(CBO - Quercus pagoda Raf),坚果栎(NUT - Quercus texana Buckley)和Shumard栎(SHU - Quercus shumardii Buckl)。拟合了多个模型,包括分段轮廓模型、形式-类轮廓模型以及二阶和三阶多项式模型,并进行了比较。结果表明,对CBO和NUT的拟合效果最好的是形类模型,而对SHU的拟合效果最好的是三阶多项式模型。CBO比NUT和SHU有更高的生长和密度。这些发现将为该地区低地阔叶林,特别是红橡树的恢复和管理决策提供信息。
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来源期刊
CiteScore
3.30
自引率
0.00%
发文量
54
审稿时长
6 months
期刊介绍: The journal encompasses a broad range of research aspects concerning forest science: forest ecology, biodiversity/genetics and ecophysiology, silviculture, forest inventory and planning, forest protection and monitoring, forest harvesting, landscape ecology, forest history, wood technology.
期刊最新文献
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