Abstract
Erosion process occurs naturally, shaping the Earth’s surface. Soil loss can cause harmful effects to the environment when intensive anthropic activities occur. Mathematical models have been used as effective and less costly alternatives for identifying sites highly prone to soil loss, especially at the watershed scale. In Brazil, the Revised Universal Soil Loss Equation (RUSLE) is one of the most commonly used soil loss prediction models. The RUSLE requires information on soil erodibility, rainfall erosivity, topography, land use and [...]
Highlights
Soil losses result in harmful impacts onsite and offsite when anthropic activities intensify them
The Revised Universal Soil Loss Equation (RUSLE) (Renard et al, 1997) is a widely used worldwide equation intended for estimating soil loss (Abdo and Salloum, 2017; Swarnkar et al, 2018; Koirala et al, 2019)
Average annual rainfall erosivity obtained for the CRWsub was equal to 9960.52 MJ mm ha-1 h-1 yr-1, classified as very strong (Carvalho, 2008)
Summary
Soil losses result in harmful impacts onsite and offsite when anthropic activities intensify them. The loss of nutrients from the surface layers of the soil and consequent reduction in crop productivity can cause silting and eutrophication (Napoli et al, 2016; Kavian et al, 2017). According to FAO (2015), 33 % of the Earth’s soils are already degraded, and the main indicators of this degradation are erosion and compaction of agricultural soils. Erosive processes cause the loss of nutrients that can lead to a loss of up to 50 % in the productivity of crops. The Revised Universal Soil Loss Equation (RUSLE) (Renard et al, 1997) is a widely used worldwide equation intended for estimating soil loss (Abdo and Salloum, 2017; Swarnkar et al, 2018; Koirala et al, 2019). In Brazil, RUSLE has been widely used in different regions (Batista et al, 2017; Colman et al, 2018; Steinmetz et al, 2018)
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