首页> 外文期刊>Canadian Journal of Forest Research >Comparison of fixed-area plot designs for estimating stand characteristics and western spruce budworm damage in southwestern USA forests
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Comparison of fixed-area plot designs for estimating stand characteristics and western spruce budworm damage in southwestern USA forests

机译:比较固定面积样地设计估算美国西南部森林的林分特征和西部云杉ru虫的危害

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摘要

Various sampling designs were evaluated using data on stand density, stocking, mortality, and top kill, as influenced by the western spruce budworm (Choristoneura occidentalis Freeman) in 17 stands in New Mexico and Colorado. Efficiency improved as plot size decreased from 0.04 to 0.02 ha for all variables and sampling designs, except for 0.01-ha plots, which required extremely large sample sizes and were subject to bias. Cluster designs were much more efficient than simple random sampling designs, allowing twice the reduction in sample size than was gained by relaxing the allowable error from 10 to 15%. Clusters of two plots were as precise as clusters of three plots. Of the four variables evaluated, density required the largest sample sizes, followed by stocking, percent mortality (for stands where mortality exceeded 10%), and top kill. Few plots were necessary to ascertain that mortality was less than 10%. On average, 10 pairs of 0.02-ha plots would estimate density, stocking, and mortality within a 10% allowable error. A field check of density and stocking variables is recommended, and additional samples are suggested in stands with large percent standard errors associated with those variables.
机译:在新墨西哥州和科罗拉多州的17个林分中,受西部云杉bud虫(Choristoneura occidentalis Freeman)的影响,使用林分密度,放养,死亡率和最高杀灭率的数据对各种抽样设计进行了评估。对于所有变量和采样设计,效率都随着样地大小从0.04减少到0.02公顷而提高,除了0.01公顷的样地需要非常大的样本量并且容易产生偏差。聚类设计比简单的随机抽样设计有效得多,与通过将允许误差从10%放宽到15%所获得的结果相比,减少了两倍的样本量。两个地块的聚类与三个地块的聚类一样精确。在评估的四个变量中,密度需要最大的样本量,其次是放养,死亡率百分数(对于死亡率超过10%的林分)和最高致死率。几乎没有必要确定死亡率低于10%的地块。平均而言,如果有10对0.02公顷的样地,则可以在10%的允许误差内估算密度,放养量和死亡率。建议对密度和存量变量进行现场检查,并建议在具有与这些变量相关的较大标准误差的机架中进行其他采样。

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