2019
DOI: 10.2489/jswc.75.1.12
|View full text |Cite
|
Sign up to set email alerts
|

Performance of the Soil Vulnerability Index with respect to slope, digital elevation model resolution, and hydrologic soil group

Abstract: Soil erosion and nutrient loss from surface runoff and subsurface leaching are critical problems for cultivated land. Conservation initiatives show a persistent need for fieldscale cropland vulnerability assessments to inform farm management options and prioritize efforts at watershed or regional scales. The Soil Vulnerability Index (SVI) was developed by USDA's Natural Resources Conservation Service (NRCS) to assess inherent vulnerability of cropland to surface runoff and leaching using readily available soil… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
14
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
5
1
1

Relationship

0
7

Authors

Journals

citations
Cited by 28 publications
(14 citation statements)
references
References 58 publications
0
14
0
Order By: Relevance
“…That is, after two years of applying the training program to the experimental group, they are better prepared in knowledge. The significant difference allows us to reject the Null Hypothesis H0, therefore the Alternative Hypothesis H1 is accepted, with a confidence level of 95%, considered in the proposed research (Lohani et al, 2020).…”
Section: Discussionmentioning
confidence: 94%
“…That is, after two years of applying the training program to the experimental group, they are better prepared in knowledge. The significant difference allows us to reject the Null Hypothesis H0, therefore the Alternative Hypothesis H1 is accepted, with a confidence level of 95%, considered in the proposed research (Lohani et al, 2020).…”
Section: Discussionmentioning
confidence: 94%
“…In areas with steeper topography, slope is the main determinant of the SVI soil runoff potential, whereas hydrologic soil group and K-factor are more determinant of the SVI soil runoff potential in areas of relatively low relief (Lohani et al 2020a). We see this relationship in Iowa, where the majority of agricultural fields categorized as having high or moderately high soil runoff potential are found in landscapes characterized by generally higher relief and more erodible soils, such as the Loess Hills, Paleozoic Plateau, and Southern Iowa Drift Plain regions of Iowa.…”
Section: Soil Vulnerability Index Classifications In Iowamentioning
confidence: 99%
“…DEMs were acquired from the Iowa P-Library series (ISU GIS 2016), which are light detection and ranging (LiDAR) point-cloud derived, 2 m (6.6 ft) resolution elevation rasters that have been hydro-conditioned and assembled for the state of Iowa at the HUC12 level (n = 1,615). High resolution DEMs that account for subtle slope differences are necessary for landscapes with low relief, like much of Iowa (Lohani et al 2020a;Thompson et al 2020). We used these data as inputs to estimate both SVI indices-soil runoff potential and soil leaching potential-using a custom ArcGIS tool at the HUC12 scale.…”
Section: Mapping the Soil Vulnerability Indexmentioning
confidence: 99%
See 2 more Smart Citations