Effects of Basal Area Factor and Plot Size on Precision and Accuracy of Forest Inventory Estimates

P. Becker, Tom Nichols
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引用次数: 6

Abstract

We tested the effects of plot size (0.05-0.30 ac) and basal area factor (BAF) (5-30) on the accuracy and precision of per-acre estimates of tree number, basal area, biomass (all for trees ≥4.5 in. dbh), and sawtimber volume (for trees ≥11.6 in. dbh). Field sampling errors, such as missing in-trees, did not affect our tests. Virtual, variableand fixed-radius plots were randomly located within an artificial matrix of 130 real plots in well stocked, upland hardwood forests of sawtimber-sized trees in the Missouri Ozarks. Inventory parameters were essentially independent of plot size and BAF, while their coefficients of variation decreased with plot size and increased with BAF. Thus, our results for random plots agreed with sampling theory, unlike a previous study using concentric virtual plots in West Virginia forests. A very concentrated zone of high tree density around some plot centers apparently caused the biased estimates by concentric plots. Compared with the entire composite forest, inventory means were accurately estimated (to within 5%) and size class distributions were well represented for plots ≥0.1 ac or ≤ 15 BAF. Our procedures provide a basis for selecting an efficient and cost-effective sampling design suited to forest characteristics and the inventory’s purpose.
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基底面积因子和样地大小对森林清查估算精度和准确度的影响
我们测试了样地面积(0.05-0.30 ac)和基底面积因子(BAF)(5-30)对每亩估算树数、基底面积、生物量(均为≥4.5 in)的准确性和精度的影响。Dbh)和锯材体积(≥11.6 in。胸径)。字段采样错误,例如缺少树内采样,不会影响我们的测试。虚拟的、可变半径的和固定半径的地块被随机放置在一个由130个真实地块组成的人工矩阵中,这些地块位于密苏里州奥扎克地区树木茂密的山地硬木林中。库存参数与样地大小和BAF基本无关,其变异系数随样地大小减小,随BAF增大。因此,与之前在西弗吉尼亚州森林中使用同心虚拟地块的研究不同,我们对随机地块的研究结果与抽样理论一致。在一些样地中心周围的高度密集的树木密度明显造成同心样地估计的偏差。与整个复合森林相比,在≥0.1 ac或≤15 BAF的样地,清查均值得到了准确的估计(在5%以内),大小类分布得到了很好的代表。我们的程序为选择适合森林特征和清单目的的有效和经济有效的抽样设计提供了基础。
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