2018
DOI: 10.1590/18069657rbcs20170262
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Soil Erodibility under Natural Rainfall Conditions as the K Factor of the Universal Soil Loss Equation and Application of the Nomograph for a Subtropical Ultisol

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Cited by 34 publications
(25 citation statements)
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“…The particle size distribution shows that the upper horizons (U) have higher clay percentage ( Table 2). As a consequence, soil particles have more cohesion, increasing resistance to water erosion, similar results as found by Knapen et al (2007); Havaee et al (2015) and Cassol et al (2018).…”
Section: Resultssupporting
confidence: 81%
“…The particle size distribution shows that the upper horizons (U) have higher clay percentage ( Table 2). As a consequence, soil particles have more cohesion, increasing resistance to water erosion, similar results as found by Knapen et al (2007); Havaee et al (2015) and Cassol et al (2018).…”
Section: Resultssupporting
confidence: 81%
“…Quantitative assessment of land erosion has been undertaken by various approaches using spatially distributed data. There are numerous mathematical and process-based models to predict soil erosion, but the Revised Universal Soil Loss Equation (RUSLE) is most widely used [21][22][23][24][25]. It is simple, easy to use and successfully integrate the ecosystem parameters.…”
Section: Introductionmentioning
confidence: 99%
“…Soil erodibility index shows the soil resilience against erosion, namely particle retention to detachment and soil displacement due to rainfall kinetic energy (Cassol et al, 2018). High organic matter content will lead to high erodibility value (Santoso et al, 2014).…”
Section: Introductionmentioning
confidence: 99%