Whole-tree harvesting practices are often restricted on soils with intrinsically low soil nutrients. Delineating restricted soil components from nonrestricted components presents a challenge for forest practitioners working with glaciofluvial parent materials. We investigated a suite of biological and edaphic factors to assess if restricted soil components are functionally distinct from nonrestricted soil components in partially restricted soil complexes across northern Wisconsin, USA. This study tested repeatable methods for soil delineation based on soil particle size, varying in spatial extent, and are independent of county boundaries or discrepancies across soil survey areas. Habitat type provided the most robust tool to distinguish the soil components and is the recommended approach. Habitat typing currently requires field data collection, since it does not exist as a geographic information system product in Wisconsin. Timber sale establishment often occurs during the off-season when habitat typing is not possible. In this case, an additional decision tree including habitat type and deviation from mean elevation (DEV) model is provided to estimate soil components remotely and verify the results when habitat typing is feasible. The 1,300-m radius DEV performed best with a 10-m digital elevation model, and reflects the differences between moraines and outwash plains landforms. These findings suggest that the utility of the DEV model and spatially explicit soil textural information in delineating restricted series from soil complexes has promise in light of improved remotely sensed information and geographic information system technologies that can be field-validated by habitat type.

中文翻译：

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植物群落和地形关系描绘了受整棵树采伐限制的土壤复合体的组成部分

整棵树的收获实践通常仅限于土壤养分本来就低的土壤。从非限制性成分中划定限制性土壤成分对从事冰川河流母体材料工作的森林从业者提出了挑战。我们调查了一系列生物和土壤因素，以评估在美国威斯康星州北部的部分受限土壤复合物中受限土壤成分是否与非受限土壤成分在功能上不同。本研究测试了基于土壤颗粒大小的可重复土壤划分方法，在空间范围上有所不同，并且不受县界或土壤调查区域差异的影响。栖息地类型提供了最强大的工具来区分土壤成分，是推荐的方法。栖息地类型目前需要现场数据收集，因为它在威斯康星州不作为地理信息系统产品存在。木材销售的建立通常发生在无法进行栖息地分类的淡季。在这种情况下，提供了一个额外的决策树，包括栖息地类型和平均海拔偏差 (DEV) 模型，以远程估计土壤成分，并在栖息地类型可行时验证结果。半径 1,300 米的 DEV 在 10 米数字高程模型中表现最佳，反映了冰碛和外冲平原地貌之间的差异。这些发现表明，鉴于可以通过栖息地类型进行现场验证的改进的遥感信息和地理信息系统技术，DEV 模型和空间明确的土壤质地信息在从土壤复合体中划定受限序列方面的效用具有前景。