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首页> 外文期刊>Northern Journal of Applied Forestry >Accuracy of tree grade projections for five Appalachian hardwood species
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Accuracy of tree grade projections for five Appalachian hardwood species

机译:五个阿巴拉契亚硬木树种的树等级预测的准确性

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The potential value increase of individual trees is an important factor in planning effective forest management strategies. Similar to other investments, trees with high potential value increase are retained and allowed to grow, and those with relatively low potential value increase are harvested so that the proceeds may earn a higher rate of return elsewhere. Tree grade is used to assess the quality and value of wood within a tree; thus, projecting tree grade is an integral part of estimating potential value increase. This study measured the accuracy of projected tree grades over a period of 12-15 years for 588 black cherry, 404 northern red oak, 167 red maple, 191 white and chestnut oaks, and 450 yellow-poplar sawtimber trees in both thinned and unthinned stands. Projected grade was based on surface defects and percent volume deductions for sweep, crook, and rot at the time of the projection with the assumption that the threshold dbh for the highest possible grade would be reached in the future. This approach allows the forest manager to make grade projections based on what is visible and measurable on the tree, even if the tree is currently too small to qualify for higher grades. In general, grade projections were somewhat accurate, with 9% of trees higher than the projected grade, 80% projected correctly, and 11% lower than the projected grade. Trees that had a lower-than-projected grade usually exhibited additional deductions for percent cull volume and/or new epicormic branches. Grade projections were less accurate for larger, higher-quality trees because requirements for the top grade are more constraining and sensitive to changes in butt log characteristics than lower grades. For black cherry and northern red oak, grade projections in thinned stands were less accurate compared with unthinned stands because of resulting logging wounds or new epicormic branches.
机译:单个树木的潜在价值增加是规划有效森林管理策略的重要因素。与其他投资类似,具有较高潜在价值增长的树木被保留并允许其生长,具有潜在价值增长相对较低的树木被收获,这样收益可以在其他地方获得更高的回报率。树木等级用于评估树木中木材的质量和价值。因此,预测树的等级是估算潜在价值增加的必要部分。这项研究测量了稀疏和未稀疏林分中588棵黑樱桃,404棵北红橡树,167棵红枫树,191棵白栗和栗树橡树以及450棵黄杨锯木树在12-15年内预测树木等级的准确性。 。预测等级基于投影时的表面缺陷和扫掠,弯曲和腐烂的体积减量百分比,并假设将来可能达到最高等级的阈值dbh。这种方法允许森林管理员根据树上可见的和可测量的值进行等级预测,即使树当前太小而无法获得更高的等级。一般而言,等级预测较为准确,树木比预计等级高9%,正确预测的树木80%,比预计等级低11%。等级低于预期的树木通常会显示出剔除百分比的剔除量和/或新的表皮分支。对于较大,质量较高的树木,坡度预测的准确性较差,因为与较低坡度相比,最高坡度的要求对约束和对接原木特性的变化更敏感。对于黑樱桃和北部红橡树,稀疏林分中的坡度预测与未稀疏林分相比不准确,这是因为会导致伐木伤口或新的表皮科。

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