Missouri. Claire Baffaut is a hydrologist at the USDA Agricultural Research Service (ARS) Cropping Systems and Water Quality Research Unit, Columbia, Missouri. Sapana Lohani is a postdoctoral scholar in the Department of Biology, University of Nevada-Reno, Reno, Nevada. Lisa F. Duriancik is the Conservation Effects Assessment Project (CEAP) Watershed Assessment Studies component leader at the USDA Natural Resources Conservation Service (NRCS) Resource Inventory and Assessment Division,

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... e, Maryland. M. Lee Norfleet is the model team leader, CEAP Modeling Team at the USDA NRCS Resource Inventory and Assessment and Division, Temple, Texas. Kevin Ingram is the team leader, CEAP Natural Resources Analysis Team at the USDA NRCS Resource Inventory and Assessment Division, Beltsville, Maryland. Abstract: The Soil Vulnerability Index (SVI) was developed by the USDA Natural Resources Conservation Service (NRCS) to classify inherent vulnerability of cropland soils based on field sediment and nutrient transport resulting from surface runoff and leaching. The primary purpose of the SVI is to aid conservation planners in more rapidly assessing managed lands and inherent resource concerns. The index is based on hydrologic soil group, slope, and soil erodibility for cultivated cropland soils, with the addition of percentage rock fragments and organic matter when considering leaching. Although the SVI is intended for use throughout the United States, its development was based on the physiographic and rainfall characteristics of the Upper Mississippi and Ohio-Tennessee River basins. The purpose of this study was to evaluate the SVI in areas both in and outside of the area for which it was developed. Thirteen different watersheds were selected to conduct this evaluation. Vulnerability classifications using the SVI were compared with those from on-site experts' knowledge and with model simulations using local data. Four companion papers in this special collection discuss SVI classification based on the effects of land slope, artificial drainage, sediment and nutrient loads, and vulnerability assessment using hydrologic simulation models. Using results from the various sites, the objective of this paper was to synthesize the interpretation of the value and applicability of SVI vulnerability classification to sediment and nutrient loss across various physiographic regions and suggest where improvement in the SVI could be made.