ABSTRACT As innovative harvest systems are developed, the extent to which they can be utilized on the landscape based on machine capabilities is often unclear to forest managers. Spatial decision support models may aid contractors and forest planners in choosing appropriate logging systems based on topography and stand characteristics. Lidar and inventory data from 91 sample plots were used to model site characteristics for 2627 stands in the Slate Creek drainage on the Nez Perce Clearwater National Forest in north-central Idaho, USA, and were integrated into a decision support model to compare harvest system selection using five harvest systems and three scenarios. In two of the scenarios, shovel harvester-based logging systems, which are not common in the area, were included to determine potential sites where integration of these systems is possible based on landscape and stand conditions. Lidar-derived predictions for volume and trees per hectare were determined with model accuracies of 76.4% and 70.3%, and together with topographic characteristics it was determined that shovel harvester-based options were feasible across a significant portion of the study area (31% and 34% in the two scenarios). Additionally, increasing operable slope for ground-based systems by 10% increased the area in harvestable classification by 21%. Harvest system classification using lidar-derived products and known system capabilities allows contractors and managers to better evaluate alternative harvest system options on landscape scales and may encourage the utilization of innovative machinery not currently integrated into most logging operations.

中文翻译：

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使用激光雷达衍生的景观参数来表征西北内陆的替代收获系统选项

摘要 随着创新采伐系统的开发，森林管理人员通常不清楚它们在多大程度上可以根据机器能力在景观中使用。空间决策支持模型可以帮助承包商和森林规划者根据地形和林分特征选择合适的伐木系统。来自 91 个样地的激光雷达和清单数据被用于模拟美国爱达荷州中北部内兹珀斯清水国家森林 Slate Creek 排水系统中 2627 个林分的场地特征，并被整合到决策支持模型中以比较采伐系统选择使用五个收获系统和三个场景。在两个场景中，基于铲式收割机的伐木系统，这在该地区并不常见，包括在内，以确定可以根据景观和林分条件整合这些系统的潜在地点。激光雷达对每公顷体积和树木的预测确定，模型准确度分别为 76.4% 和 70.3%，结合地形特征，确定基于铲式收割机的选项在研究区域的很大一部分（31% 和在两种情况下为 34%）。此外，将地面系统的可操作坡度增加 10%，可收获分类的面积增加 21%。