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| Web URL(s): | https://acsess.onlinelibrary.wiley.com/doi/10.2136/sssaj2001.1787
Last checked: 02/28/2024
Access conditions: Item is within a limited-access website
https://acsess.onlinelibrary.wiley.com/doi/epdf/10.2136/sssaj2001.1787
Last checked: 02/28/2024
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Access conditions: Item is within a limited-access website |
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| Publication Type:
| Refereed |
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| Author(s): | Pachepsky, Ya. A.;
Timlin, D. J.;
Rawls, W. J. |
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| Author Affiliation: | Pachepsky and Rawls: USDA-ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD; and Timlin: USDA-ARS Alternate Crops and Systems Laboratory, Beltsville, MD |
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| Title: | Soil water retention as related to topographic variables |
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| Section: | Division S-6---Soil & water management & conservation
Other records with the "Division S-6---Soil & water management & conservation" Section
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| Source: | Soil Science Society of America Journal. Vol. 65, No. 6, November/December 2001, p. 1787-1795. |
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| Publishing Information: | Madison, WI: Soil Science Society of America |
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| # of Pages: | 9 |
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| Keywords: | TIC Keywords: Soil water retention; Topography; Models; Physical properties of soil; Slope; Bulk density; Pressure
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| Abstract/Contents: | "Digital elevation models were proposed and used as a data source to estimate soil properties. This study evaluated variability of texture and water retention of soils for a gently sloping 3.7-ha field located in the long-term precision farming research site at the Beltsville Agricultural Research Center, MD. The specific objectives of this research were (i) to characterize variability of water retention across the hillslope, and (ii) determine and describe any correlations of soil water retention with soil texture and surface topography. Soil was sampled along four 30-m transects and in 39 points within the study area. Textural fraction contents, bulk density, and water retention at 0, 2.5, 5.0, 10, 33, 100, 500, and 1500 kPa were measured in samples taken from 4- to 10-cm depth. A 30-m digital elevation model (DEM) was constructed from aerial photography data. Slopes, profile curvatures, and tangential curvatures were computed in grid nodes and interpolated to the sampling locations. Regressions with spatially correlated errors were used to relate water retention and texture to computed topographic variables. Sand, silt, and clay contents depended on slope and curvatures. Soil water retention at 10 and 33 kPa correlated with sand and silt contents. The regression model relating water retention to the topographic variables explained more than 60% of variation in soil water content at 10 and 33 kPa, and only 20% of variation at 100 kPa. Increases in slope values and decreases in tangential curvature values, i.e., less concavity or more convexity across the slope, led to the decreases in water retention at 10 and 33 kPa. Results of this work show a potential for topographic variables to be used in interpretation of field-scale variability of soil properties and, possibly, yield maps in precision agriculture." |
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| Language: | English |
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| References: | 46 |
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| Note: | Figures
Tables
Graphs |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Pachepsky, Y. A., D. J. Timlin, and W. J. Rawls. 2001. Soil water retention as related to topographic variables. Soil Sci. Soc. Am. J. 65(6):p. 1787-1795. |
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| Web URL(s):
https://acsess.onlinelibrary.wiley.com/doi/10.2136/sssaj2001.1787
Last checked: 02/28/2024
Access conditions: Item is within a limited-access website
https://acsess.onlinelibrary.wiley.com/doi/epdf/10.2136/sssaj2001.1787
Last checked: 02/28/2024
Requires: PDF Reader
Access conditions: Item is within a limited-access website |
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MSU catalog number: S 590 .S65 |
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