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Advancing digital soil mapping and assessment in arid landscapes.

机译:推进干旱景观的数字土壤测绘和评估。

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摘要

There is a need to understand the spatial distribution of soil taxonomic classes, the spatial distribution of potential biological soil crust, and soil properties related to wind erosion to address land use and management decisions in arid and semi-arid areas of the western USA. Digital soil mapping (DSM) can provide this information.;Chapter 2 compared multiple DSM functions and environmental covariate sets at three geographically distinct semi-arid study areas to identify combinations that would best predict soil taxonomic classes. No single model or type of model was consistently the most accurate classifier for all three areas. The use of the "most important" variables consistently resulted in the highest model accuracies for all study areas. Overall classification accuracy was largely dependent upon the number of taxonomic classes and the distribution of pedons between taxonomic classes. Individual class accuracy was dependent upon the distribution of pedons in each class. Model accuracy could be increased by increasing the number of pedon observations or decreasing the number of taxonomic classes.;Potential biological soil crust level of development (LOD) classes were predicted over a large area surrounding Canyonlands National Park in Chapter 3. The moderate LOD class was modeled with reasonable accuracy. The low and high LOD classes were modeled with poor accuracy. Prediction accuracy could likely be improved through the use of additional covariates. Spatial predictions of LOD classes may be useful for assessing the impact of past land uses on biological soil crusts.;Threshold friction velocity (TFV) was measured and then correlated with other, easier-to-measure soil properties in Chapter 4. Only soils with alluvial surficial rocks or weak physical crusts reached TFV in undisturbed conditions. All soil surfaces reached TFV after disturbance. Soils with weak physical crusts produced the most sediment. Future work on wind erosion in the eastern Great Basin should focus on non-crusted/weakly crusted soils and soils formed in alluvium overlying lacustrine materials. Soils with other crust types are likely not susceptible to wind erosion. Threshold friction velocity in undisturbed soils with weak physical crusts and undisturbed soils with surficial rocks was predicted using a combination of penetrometer, rock cover, and silt measurements.
机译:需要了解土壤分类学类别的空间分布,潜在的生物土壤结皮的空间分布以及与风蚀有关的土壤特性,以解决美国西部干旱和半干旱地区的土地利用和管理决策。数字土壤制图(DSM)可以提供此信息。第2章在三个地理上不同的半干旱研究区域比较了多个DSM函数和环境协变量集,以确定可以最佳预测土壤分类学类别的组合。对于这三个领域,没有一个单一的模型或模型类型始终是最准确的分类器。使用“最重要”变量始终能为所有研究领域带来最高的模型准确性。总体分类准确性在很大程度上取决于分类类别的数量以及分类类别之间脚踏板的分布。各个班级的准确性取决于每个班级中脚钉的分布。可以通过增加脚架观测次数或减少分类类别的数量来提高模型的准确性。在第3章中,对峡谷地国家公园周围的大面积潜在生物土壤地壳发育水平(LOD)类别进行了预测。以合理的准确性建模。低和高LOD类别的建模精度很差。通过使用其他协变量,可能会提高预测准确性。 LOD类别的空间预测可能有助于评估过去土地用途对生物土壤结皮的影响。在不受干扰的条件下,冲积表层岩石或薄弱的硬壳达到了TFV。扰动后,所有土壤表面均达到TFV。地壳薄弱的土壤沉积物最多。大盆地东部未来的风蚀工作应集中在未结壳/弱结皮的土壤和覆盖在湖相物质上的冲积层中形成的土壤。具有其他外壳类型的土壤可能不易遭受风蚀。结合使用渗透仪,岩石覆盖和淤泥测量,可以预测在具有弱物理结皮的原状土壤和具有表层岩石的原状土壤中的阈值摩擦速度。

著录项

  • 作者

    Brungard, Colby W.;

  • 作者单位

    Utah State University.;

  • 授予单位 Utah State University.;
  • 学科 Soil sciences.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 170 p.
  • 总页数 170
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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