Modeling land management effects on the size distribution of eroded sediment.
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| Title: | Modeling land management effects on the size distribution of eroded sediment. |
|---|---|
| Authors: | Liu, Gang1,2 (AUTHOR), Dabney, Seth M.1,2 (AUTHOR) seth.dabney@ars.usda.gov, Yoder, Daniel C.3 (AUTHOR), Wells, Robert R.2 (AUTHOR), Vieira, Dalmo A.N.2 (AUTHOR) |
| Source: | Soil & Tillage Research. Sep2019, Vol. 192, p121-133. 13p. |
| Subjects: | Land management, Soil erosion, Carbon in soils, Clay soils, Soil structure, Sediments |
| Geographic Terms: | United States |
| Abstract: | • A relationship between soil carbon, soil clay, and median soil aggregate size is derived. • A model of eroded sediment aggregation responsive to land management is proposed for RUSLE2. • Modeled macro-aggregation changes over time are compared to published observations. Land management that improves soil quality is known to increase the amount of water-stable soil aggregates, but many current soil erosion models do not consider land management effects when estimating the size distribution of eroded sediment. Our objective was to develop a method to improve eroded sediment size estimates in response to alternative land management practices using information available within the RUSLE2 model and its database. We conducted a literature search identifying 274 soil aggregate size distributions where soil clay and soil organic carbon were also reported. The median value and log-normal standard deviation were estimated for each distribution. Median value was found to be linearly related to soil clay fraction and quadratically related to soil carbon content. However, the 10% of samples with observed median aggregate sizes greater than 3 mm were all underestimated by the regression model. All these samples were collected from soils under land use described as grass, pasture, or forest. To then determine whether incorporating management impacts on size distribution could better fit field data than this simple approach based purely on clay and carbon, algorithms termed MAS (Model of Aggregated Sediment) were derived and applied with default values in the RUSLE2 soil erosion model to estimate a coarser sediment size distribution at the point of detachment for land management with increased biomass inputs and reduced tillage disturbances. The MAS estimates of macroaggregated sediment (>0.212 mm) mirrored fragment size observations made over 10 yr when cropland was converted to prairie in the central U.S.A. Thus, MAS estimated dynamic land management effects on aggregation better than regression relationships based solely on soil clay and carbon contents. More aggregate and sediment size datasets that include historical land use information will be needed to fully assess the generality of the MAS algorithms and parameter estimates. [ABSTRACT FROM AUTHOR] |
| Copyright of Soil & Tillage Research is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 136878280 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Modeling land management effects on the size distribution of eroded sediment. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Liu%2C+Gang%22">Liu, Gang</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dabney%2C+Seth+M%2E%22">Dabney, Seth M.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> seth.dabney@ars.usda.gov</i><br /><searchLink fieldCode="AR" term="%22Yoder%2C+Daniel+C%2E%22">Yoder, Daniel C.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wells%2C+Robert+R%2E%22">Wells, Robert R.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Vieira%2C+Dalmo+A%2EN%2E%22">Vieira, Dalmo A.N.</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Soil+%26+Tillage+Research%22">Soil & Tillage Research</searchLink>. Sep2019, Vol. 192, p121-133. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Land+management%22">Land management</searchLink><br /><searchLink fieldCode="DE" term="%22Soil+erosion%22">Soil erosion</searchLink><br /><searchLink fieldCode="DE" term="%22Carbon+in+soils%22">Carbon in soils</searchLink><br /><searchLink fieldCode="DE" term="%22Clay+soils%22">Clay soils</searchLink><br /><searchLink fieldCode="DE" term="%22Soil+structure%22">Soil structure</searchLink><br /><searchLink fieldCode="DE" term="%22Sediments%22">Sediments</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22United+States%22">United States</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: • A relationship between soil carbon, soil clay, and median soil aggregate size is derived. • A model of eroded sediment aggregation responsive to land management is proposed for RUSLE2. • Modeled macro-aggregation changes over time are compared to published observations. Land management that improves soil quality is known to increase the amount of water-stable soil aggregates, but many current soil erosion models do not consider land management effects when estimating the size distribution of eroded sediment. Our objective was to develop a method to improve eroded sediment size estimates in response to alternative land management practices using information available within the RUSLE2 model and its database. We conducted a literature search identifying 274 soil aggregate size distributions where soil clay and soil organic carbon were also reported. The median value and log-normal standard deviation were estimated for each distribution. Median value was found to be linearly related to soil clay fraction and quadratically related to soil carbon content. However, the 10% of samples with observed median aggregate sizes greater than 3 mm were all underestimated by the regression model. All these samples were collected from soils under land use described as grass, pasture, or forest. To then determine whether incorporating management impacts on size distribution could better fit field data than this simple approach based purely on clay and carbon, algorithms termed MAS (Model of Aggregated Sediment) were derived and applied with default values in the RUSLE2 soil erosion model to estimate a coarser sediment size distribution at the point of detachment for land management with increased biomass inputs and reduced tillage disturbances. The MAS estimates of macroaggregated sediment (>0.212 mm) mirrored fragment size observations made over 10 yr when cropland was converted to prairie in the central U.S.A. Thus, MAS estimated dynamic land management effects on aggregation better than regression relationships based solely on soil clay and carbon contents. More aggregate and sediment size datasets that include historical land use information will be needed to fully assess the generality of the MAS algorithms and parameter estimates. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Soil & Tillage Research is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.still.2019.04.012 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 121 Subjects: – SubjectFull: Land management Type: general – SubjectFull: Soil erosion Type: general – SubjectFull: Carbon in soils Type: general – SubjectFull: Clay soils Type: general – SubjectFull: Soil structure Type: general – SubjectFull: Sediments Type: general – SubjectFull: United States Type: general Titles: – TitleFull: Modeling land management effects on the size distribution of eroded sediment. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Liu, Gang – PersonEntity: Name: NameFull: Dabney, Seth M. – PersonEntity: Name: NameFull: Yoder, Daniel C. – PersonEntity: Name: NameFull: Wells, Robert R. – PersonEntity: Name: NameFull: Vieira, Dalmo A.N. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2019 Type: published Y: 2019 Identifiers: – Type: issn-print Value: 01671987 Numbering: – Type: volume Value: 192 Titles: – TitleFull: Soil & Tillage Research Type: main |
| ResultId | 1 |
