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| Web URL(s): | http://www.jswconline.org/content/56/2/165.full.pdf+html
Last checked: 10/01/2008
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http://www.jswconline.org/content/56/2/165.full.pdf
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| Publication Type:
| Professional |
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| Author(s): | Arndt, C.;
Fecso, B.;
Preckel, P. V.;
Stoneman, B. |
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| Author Affiliation: | Arndt: Assistant Professor, Department of Agricultural Economics, Purdue University, West Lafayette, IN; Fecso: Program Analyist Conservation Operations Division, Natural Resources Conservation Service (NRCS), U.S. Department of Agriculture (USDA), Washington, D.C.; Preckel: Professor, Department of Agricultural Economics, Purdue University, West Lafayette, IN: Stoneman; Assistant Virginia State Soil Scientist, National Resources Conservation Service (NRCS), U.S. Department of Agriculture (USDA), Richmond, VA |
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| Title: | Soil selection for use in environmental analysis |
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| Section: | Research
Other records with the "Research" Section
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| Source: | Journal of Soil and Water Conservation. Vol. 56, No. 2, Second Quarter 2001, p. 165-171. |
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| Publishing Information: | Ankeny, IA: Soil and Water Conservation Society |
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| # of Pages: | 7 |
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| Related Web URL: | http://www.jswconline.org/content/56/2/165.abstract
Last checked: 08/13/2013
Notes: Abstract only |
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| Keywords: | TIC Keywords: Erosion; Methodology; Comparisons; Soil sampling; Sampling
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| Abstract/Contents: | "Estimating variables, such as erosion rates, across a diverse soil and water resource base is a problem of interest in natural resource management. Here, we propose an alternative to the predominant soils (PS) approach of Stoneman, Brown, and Spivey. Our method, called Gaussian quadrature (GQ), is adapted from the numerical integration literature. Two experiments compare GQ with PS. The first plugs sample input into a simulation model to approximate erosion rates, surface runoff, and crop yield for a region. The second estimates erosion in three regions using the Universal Soil Loss Equation (USLE). Results from the GQ samples are compared to results for the full population and results from random samples. GQ sampling tends to be more effective, particularly with respect to measures related to the heterogeneity of the population, such as the variance and skewness, than PS or random sampling. Judiciously used, GQ sample selection permits reductions in the number of soils sampled with only a moderate loss of accuracy." |
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| Language: | English |
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| References: | 18 |
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| Note: | Tables |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Arndt, C., B. Fecso, P. V. Preckel, and B. Stoneman. 2001. Soil selection for use in environmental analysis. J. Soil Water Conserv. 56(2):p. 165-171. |
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| Web URL(s):
http://www.jswconline.org/content/56/2/165.full.pdf+html
Last checked: 10/01/2008
Requires: PDF Reader
Access conditions: Item is within a limited-access website
http://www.jswconline.org/content/56/2/165.full.pdf
Last checked: 08/13/2013
Requires: PDF Reader
Access conditions: Item is within a limited-access website |
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MSU catalog number: S 622 .J65 |
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