ABSTRACT Inadequate wood harvesting can lead to a loss of marketable biomass for energy purposes and affect subsequent forestry operations. Therefore, woody residue inventory tools are essential for guiding forest managers and ensuring operational wood harvest quality. In this study, we aimed to propose and evaluate the line intercept sampling in systematic clusters to inventory wood cutting and chipping residues. The study was carried out in a 15-year-old Pinus taeda L. stand under clearcutting by a full-tree harvesting system. This wood harvesting system was composed by a directional feller, a skidder and harvester machines, followed of a forest chipper which produced the residual biomass for energy purposes, in which residue pieces with small-end diameter equal to or greater than 4 cm were considered for commercial energy purposes. Residue inventory was carried out after wood harvesting and chipping operations through 10 clusters composed of four lines with 15.71 m each. These clusters were randomly distributed in which the residue diameters and lengths were measured. The number of woody pieces per hectare and their volume estimations were performed aiming at 20% sampling error. Confidence intervals with a 95% significance level were from 21,054 to 37,978 woody pieces per hectare, and from 16.03 to 26.12 m3 per hectare, in which only 13% of the woody pieces were above the commercial limit diameter. Line intercept sampling in clusters has proven to be efficient for quality control of wood harvesting and chipping operations.

中文翻译：

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使用线截距聚类抽样通过残留物清单评估松木采伐质量

摘要 木材采伐不当会导致用于能源目的的可销售生物质的损失，并影响后续的林业运营。因此，木质残留物清单工具对于指导森林管理者和确保木材采伐质量至关重要。在这项研究中，我们旨在提出和评估系统集群中的线截距采样，以清点木材切割和碎屑残留物。该研究是在一个 15 岁的 taeda L. 林分上进行的，该林分被全树采伐系统砍伐。该木材采伐系统由定向伐木机、集材机和收割机组成，其次是森林削片机，生产用于能源目的的残余生物质，其中考虑了小端直径等于或大于 4 cm 的残余碎片作为能源。商业能源用途。在木材采伐和削片操作后，通过由 4 条线组成的 10 个集群进行了残留物清查，每条线长 15.71 m。这些簇随机分布，其中测量残留物的直径和长度。每公顷木本木片的数量及其体积估计是针对 20% 的抽样误差进行的。具有 95% 显着性水平的置信区间为每公顷 21,054 至 37,978 个木片，以及每公顷 16.03 至 26.12 立方米，其中只有 13% 的木片高于商业极限直径。集群中的线截距采样已被证明对于木材采伐和切片操作的质量控制是有效的。这些簇随机分布，其中测量残留物的直径和长度。每公顷木本木片的数量及其体积估计是针对 20% 的抽样误差进行的。具有 95% 显着性水平的置信区间为每公顷 21,054 至 37,978 个木片，以及每公顷 16.03 至 26.12 立方米，其中只有 13% 的木片高于商业极限直径。集群中的线截距采样已被证明对于木材采伐和切片操作的质量控制是有效的。这些簇随机分布，其中测量残留物的直径和长度。每公顷木本木片的数量及其体积估计是针对 20% 的抽样误差进行的。具有 95% 显着性水平的置信区间为每公顷 21,054 至 37,978 个木片，以及每公顷 16.03 至 26.12 立方米，其中只有 13% 的木片高于商业极限直径。集群中的线截距采样已被证明对于木材采伐和切片操作的质量控制是有效的。从 16.03 到 26.12 立方米/公顷，其中只有 13% 的木片高于商业限制直径。集群中的线截距采样已被证明对于木材采伐和切片操作的质量控制是有效的。从 16.03 到 26.12 立方米/公顷，其中只有 13% 的木片高于商业限制直径。集群中的线截距采样已被证明对于木材采伐和切片操作的质量控制是有效的。