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首页> 外文期刊>Communications in Soil Science and Plant Analysis >Comparing SSURGO Data with Geospatial Field Measurements to Estimate Soil Texture and Infiltration Rate Classes in Glaciated Soils
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Comparing SSURGO Data with Geospatial Field Measurements to Estimate Soil Texture and Infiltration Rate Classes in Glaciated Soils

机译：将SSURGO数据与地理空间场测量进行比较，以估算冰川土壤的土壤质地和渗透率

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摘要

The infiltration rate (IR) of water is a key soil property related to hydrological processes, soil health, and ecosystem services. However, detailed measurements of IR in the field and/or laboratory are labor-intensive and expensive to perform. Soil judging in the field provides a rapid and inexpensive method to estimate IR classes based on soil texture, soil organic carbon/matter, and soil structure. The objectives of this study were to classify and compare soil texture and IR for the A horizon across the 147 ha Cornell University Willsboro Research Farm using the Soil Survey Geographic (SSURGO) database and field-based measurements. Soil texture was the dominating factor to explain the general trend of Entisols > Inceptisols > Alfisols with regard to IR in the A horizon. In general, the variability in soil texture observed in field measurements was consistent with the variability reported in the SSURGO database, although the SSURGO representative values for soil texture did not completely match measured mean values for all soil map units. With the exception of one soil map unit, estimates of IR classes utilizing soil judging in the field criteria also were consistent when using either SSURGO or field-based data. Estimating infiltration rate classes for ecosystem services frameworks using geospatial analysis of field and/or SSURGO data can be enhanced with emerging technologies (e.g., sensors) and/or easily measured conventional soil properties.
机译：水的渗透率（IR）是与水文过程，土壤健康和生态系统服务有关的关键土壤性质。然而，现场和/或实验室中的IR的详细测量是劳动密集型和昂贵的。该领域的土壤判断提供了一种基于土壤纹理，土壤有机碳/物质和土壤结构来估算IR类的快速和廉价的方法。本研究的目标是通过土壤调查地理（SSURGO）数据库和基于现场的测量来分类和比较土壤纹理和IR的土壤纹理和IR。土壤纹理是解释IRISOLS> alfisols关于IR在地平线上的终身趋势的主导因素。通常，在现场测量中观察到的土壤纹理的可变性与SSURGO数据库中报告的可变性一致，尽管土壤纹理的SSURGO代表价值并未完全匹配所有土壤图单位的测量平均值。除了一个土壤图单元外，利用现场标准中的土壤判断的IR类的估计也是一致的，当使用基于SSURGO或基于现场的数据时也是一致的。利用场空间分析估算生态系统服务框架的渗透率等级和/或SSURGO数据可以通过新兴技术（例如，传感器）和/或易于测量的常规土壤性质来增强。

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