Abstract

Water erosion is the principal degradation process of tropical soils, and its effects can be measured by modeling techniques. Erosion models provide a diagnosis of the soil loss intensity and can support the planning of soil conservation practices. Models with low data requirements, such as the Revised Universal Soil Loss Equation (RUSLE) and, more recently, the Erosion Potential Method (EPM), are mainly applied in Brazil. Thus, the objective of this work was to estimate water erosion soil-loss rates using the EPM and RUSLE models on a tropical subbasin, followed by a comparison of their outcomes. The models’ application considered soil physical parameters, edaphoclimatic conditions of the area, land use, and subbasin management practices. The accuracy of the methods was verified using total transported sediment and water discharge data. We compared the models using Pearson's correlation analyses, considering a 5% of significance. We found a predominance of moderate-intensity erosion with average soil loss of 1.17 and 1.46 Mg ha-1 year-1, measured by EPM and RUSLE, respectively. The EPM model underestimated soil losses by 15.27%, and RUSLE overestimated by 19.08%, indicating a higher percentage of areas with high erosion rates (4.60%). The models presented results with a different order of magnitude, but with significant correlations, indicating that both methods pointed out similar zones of intense and light-erosion rates.

Highlights

  • Water erosion is the major degradation process on tropical soils that can cause several negative impacts and compromise the sustainability of agricultural production

  • The total of soil losses by water erosion in Brazil is currently estimated in about 850 million Mg year-1 (Merten and Minella, 2013), generating local impacts by the damages in plantations that cause soilnutrient removal, as well as external effects like siltation and water-body pollution (Posthumus et al, 2015)

  • The good vegetative coverage is reflected in the low value of the Z coefficient, which was 0.23, indicating that in the subbasin areas with low susceptibility to erosion predominate. Both Revised Universal Soil Loss Equation (RUSLE) and Erosion Potential Method (EPM) soil loss estimates are highly influenced by vegetative cover, and this is the main factor of anthropic interference in the erosion process (Renard et al, 1997)

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Summary

Introduction

Water erosion is the major degradation process on tropical soils that can cause several negative impacts and compromise the sustainability of agricultural production. The total of soil losses by water erosion in Brazil is currently estimated in about 850 million Mg year-1 (Merten and Minella, 2013), generating local impacts by the damages in plantations that cause soilnutrient removal, as well as external effects like siltation and water-body pollution (Posthumus et al, 2015)

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