Long-term term effect of bedding and vegetation control on dominant height of slash pine plantations in the southeastern United States
Long-term term effect of bedding and vegetation control on dominant height of slash pine plantations in the southeastern United States
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花坛和植被控制对美国东南部湿地松人工林优势高度的长期影响
DOI：
10.1016/j.foreco.2022.120479
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发表时间：
2022
影响因子：
3.7
通讯作者：
Bullock, Bronson P.
中科院分区：
文献类型：
--
作者：
Ramirez, Laura;Montes, Cristian R.;Bullock, Bronson P.
利用美国东南部格鲁吉亚大学种植园管理研究合作组织（PMRC）1979年建立的立地准备研究数据，对垫料和植被控制对湿地松优势高度的长期影响进行了评价。实验设计对应于2 × 2析因，重复超过16个不同的位置，分布在湿地松的自然范围。我们的研究结果表明，持续增益的优势高度，达到峰值增量约11岁，与值为1.0，2.2，和2.9米的平均增益的床上用品，植被控制，并结合（床+植被）。治疗，分别。在31岁，一个近似的旋转年龄，这些收益不再存在的床上用品治疗，其占主导地位的高度轨迹收敛到未经处理的控制值，并降低到1.9米的两个治疗涉及竞争的植被控制。这些结果是相似的，以前报道的结果在文献中，这两个治疗湿地松。我们提出了一个修改后的Chapman-Richards型模型来描述这些趋势。在这种建模方法中，使用一组幂函数形式的虚拟变量来修改基础方程，以反映处理效果。在该模型中同时拟合了处理和未处理的地块，与最常见的向基础模型中添加独立因子以解释处理反应的方法相反，我们的模型并不假设对照地块无误差。所提出的模型的灵活性，允许从业者，包括观察到的优势身高从这些治疗的收益。利用代数差分法（ADA）建立了湿地松地位指数模型.
The long-term effect of bedding and vegetation control on dominant height in slash pine (Pinus elliottiiEngelm) was evaluated using data from a site preparation study established in 1979 by the Plantation Management Research Cooperative (PMRC) at the University of Georgia in the southeastern United States. The experimental design corresponded to a 2 × 2 factorial with replications over 16 different locations, distributed over the natural range of slash pine. Our results show sustained gains in dominant height, reaching a peak increment around age 11, with values of 1.0, 2.2, and 2.9 m of average gain for the bedding, vegetation control, and combined (Bed + Veg.) treatments, respectively. At age 31, an approximate rotation age, these gains were no longer present for the bedding treatment, whose dominant height trajectory converged to the values of the untreated control and decreased to 1.9 m for both treatments involving competing vegetation control. These results are similar to previously reported results in the literature for these two treatments in slash pine. We proposed a modified Chapman-Richards type model to describe these trends. In this modeling approach, the base equation was modified using a set of dummy variables in the form of power functions to reflect the treatment effect. Both treated and untreated plots were simultaneously fitted in this model, and contrarily to the most common approach of adding an independent factor to a base model to account for the treatment response, our model does not assume the control plot to be error free. The flexibility of the proposed model allows practitioners to include observed gains in dominant height from these treatments. A slash pine site index model using the algebraic difference approach (ADA) was also derived.
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影响因子：
3.7
作者：
H. L. Allen;P. Dougherty;R. Campbell
通讯作者：
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影响因子：
2.9
作者：
Scolforo, Henrique F.;Montes, Cristian;Cook, Rachel L.;Lee Allen, Howard;Albaugh, Timothy J.;Rubilar, Rafael;Campoe, Otavio
通讯作者：
Campoe, Otavio
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DOI：
--
发表时间：
1986
期刊：
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作者：
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DOI：
--
发表时间：
1999
期刊：
影响因子：
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作者：
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P. G. Milne
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DOI：
--
发表时间：
2008
期刊：
影响因子：
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作者：
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通讯作者：
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