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首页> 外文期刊>Southern Forests: a Journal of Forest Science >Improving harvester estimates of bark thickness for radiata pine (Pinus radiata D.Don)
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Improving harvester estimates of bark thickness for radiata pine (Pinus radiata D.Don)

机译:改善收割机对辐射松(Pinus radiata D.Don)树皮厚度的估计

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摘要

Harvesters estimate bark thickness primarily from diameter over bark (DOB) and use it to estimate log volume and value. Harvester bark thickness estimation errors can reduce returns through poor bucking optimisation and out-of-specification logs. Radiata pine bark thickness data from harvested logs and permanent sample plots (PSP) were analysed to determine best-fit coefficients for current and potential future harvester bark thickness models. The most suitable current harvester bark thickness model for radiata pine is: double bark thickness = b 0 + b 1*DOB (the a??DOB modela??). This describes a straight line, whereas radiata pine bark relative to DOB is thicker near the stem base and consistent over the remainder. PSP data set coefficients for this model overestimated upper stem bark thickness and underestimated lower stem values. The harvester model for Scots pine bark fitted better than the DOB model for diameters <400 mm but performed poorly for larger logs, as it is restricted to trees with a diameter at breast height <590 mm. Two better models were identified: (1) a model using relative height to account for bark thickness changes with height, and (2) implementing separate DOB models for the bottom 10% and top 90% of the stem split by relative height. These approaches require approval by the StanForD committee to be implemented. Prior to approval, the upper 90% model coefficients could be applied to the entire stem to improve upper 90% stem volume and value predictions at the expense of the lower 10%. Further research will determine if this approach produces acceptable results when optimising bucking. Increasing variability of bark thickness estimates with increasing DOB in the PSP data set may reflect manual measurement errors with thicker bark or may show that additional explanatory variables are needed. Efforts to identify new variables would need to be weighed against additional returns and probable reductions in numbers of larger trees by as the clearfell age is reduced.
机译:收割者主要根据树皮直径(DOB)估算树皮厚度,并用其估算原木量和价值。收割机树皮厚度估算误差可通过不正确的抗压优化和不合规格的原木来降低回报。分析了采伐的原木和永久样品区(PSP)上的辐射松树皮厚度数据,以确定当前和潜在的未来收割机树皮厚度模型的最佳拟合系数。当前最适合辐射松的收割机树皮厚度模型是:双树皮厚度= b 0 + b 1 * DOB(a ?? DOB模型a ??)。这描述了一条直线,而放射状的松树皮相对于DOB在茎基部附近较厚,其余部分一致。该模型的PSP数据集系数高估了上茎皮的厚度,而低估了下茎的值。对于直径小于400毫米的苏格兰松树树皮的收割机模型比DOB模型更适合,但对于较大的原木,则效果不佳,因为它仅限于胸径小于590毫米的树木。确定了两个更好的模型:(1)使用相对高度来解释树皮厚度随高度变化的模型,以及(2)对底部10%和顶部90%的茎按相对高度分开实施单独的DOB模型。这些方法需要得到StanForD委员会的批准才能实施。在批准之前,可以将较高的90%模型系数应用于整个茎,以改善较高的90%茎体积和值预测,但要以较低的10%为代价。进一步的研究将确定这种方法在优化屈曲时是否产生可接受的结果。随着PSP数据集中DOB的增加,树皮厚度估计值的变化性可能会随着树皮变厚而反映出手动测量误差,或者可能表明需要附加的解释变量。随着清除年龄的减少,需要权衡确定新变量的努力和额外的回报,以及较大树木的数量可能减少。

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