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Predicting Logging Residue Volumes in Alaska
Forest Science ( IF 1.5 ) Pub Date : 2021-04-06 , DOI: 10.1093/forsci/fxaa052
Erik C Berg 1 , Eric A Simmons 1 , Todd A Morgan 1 , Stanley J Zarnoch 2
Affiliation  

Alaska forest managers seek information on how timber harvesting practices change the creation of postharvest woody residues. To predict residue volumes, researchers investigated how residue ratios—growing-stock residue volume per mill-delivered volume—related to readily available data on logging site and tree attributes in Alaska. Residue ratios were not related to logging site-level variables but were related to individual tree variables with predictive models. Ratios varied widely by tree species and were predicted to increase with larger stump height and larger small-end used diameters and decline exponentially with increasing diameter breast height (dbh) to approximately 25 inches. Ratios were then predicted to increase progressively in larger dbh trees. Results from this study update previous findings in other US Northwest states and can be used to produce or improve residue prediction tools for Alaska land managers.

中文翻译:

预测阿拉斯加的测井残留量

阿拉斯加森林管理者寻求有关木材采伐实践如何改变采伐后木质残留物产生的信息。为了预测残渣量,研究人员调查了残渣比率(每工厂交付量的生长存量残渣量)与阿拉斯加伐木地点和树木属性的现成数据之间的关系。残留率与测井站点级变量无关,但与预测模型中的单个树变量有关。比率因树种而异,预计随着树桩高度的增加和使用的小端直径的增加而增加,并随着直径胸高 (dbh) 增加到大约 25 英寸而呈指数下降。然后预测比率将在较大的 dbh 树中逐渐增加。
更新日期:2021-04-06
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