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Open AccessArticle
Determination of Soil Erodibility by Different Methodologies in the Renato and Caiabi River Sub-Basins in Brazil
1
Environmental Sciences, Federal University of Mato Grosso, Sinop 78550-728, MT, Brazil
2
Institute of Agrarian and Environmental Sciences, Federal University of Mato Grosso, Sinop 78550-728, MT, Brazil
3
Postgraduate Program in Environmental Physics, Institute of Physics, Federal University of Mato Grosso, 2367, Av. Fernando Corrêa da Costa, Cuiabá 78060-900, MT, Brazil
4
EMBRAPA Agrossilvipastoril, Brazilian Agricultural Research Corporation, Sinop 78550-970, MT, Brazil
5
College of Earth, Life, and Health Sciences, The University of Maine, Orono, ME 04469, USA
6
AgriSciences, Universidade Federal de Mato Grosso, Sinop 78555-267, MT, Brazil
*
Author to whom correspondence should be addressed.
Land 2024, 13(9), 1442; https://doi.org/10.3390/land13091442 (registering DOI)
Submission received: 29 June 2024
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Revised: 8 August 2024
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Accepted: 3 September 2024
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Published: 5 September 2024
Abstract
Mitigating soil erosion‘s effects have been prioritized since the early 20th century. Rainfall simulators and analytical prediction models are used to determine soil erosion susceptibility. This study used different methodologies to measure soil erodibility in two hydrographic sub-basins, the Renato and Caiabi, in the Middle and Upper Teles Pires River in Mato Grosso state, Brazil. The rainfall simulator showed a higher range of K-factor values for the Renato sub-basin of 0.0009 to 0.0086 Mg × h × (MJ × mm)−1 and a lower range of K-factor values for the Caiabi sub-basin of 0.0014 to 0.0031 Mg × h × (MJ × mm)−1. Soil loss equations similarly estimated a higher range of K-factor values for the Renato of 0.0008 to 0.0990 Mg × h × (MJ × mm)−1 and a lower range of K-factor values for the Caiabi of 0.0014 to 0.0846 Mg × h × (MJ × mm)−1. There was no significant difference at the 5% level for the K factor determined by the rainfall simulator for both sub-basins. Equations specified in Bouyoucos (1935) and Lombardi Neto and Bertoni (1975) showed significant correlation (5%) for farming systems in the Caiabi sub-basin. Indirect methodologies that performed well for correlation were equations 2 and 3 from Roloff and Denardin (1994), which use iron and aluminum as parameters. Soil erosion was most influenced by physical texture parameters of the region’s soil.
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MDPI and ACS Style
Oliveira, J.A.X.d.; Almeida, F.T.d.; Souza, A.P.d.; Paulista, R.S.D.; Zolin, C.A.; Hoshide, A.K.
Determination of Soil Erodibility by Different Methodologies in the Renato and Caiabi River Sub-Basins in Brazil. Land 2024, 13, 1442.
https://doi.org/10.3390/land13091442
AMA Style
Oliveira JAXd, Almeida FTd, Souza APd, Paulista RSD, Zolin CA, Hoshide AK.
Determination of Soil Erodibility by Different Methodologies in the Renato and Caiabi River Sub-Basins in Brazil. Land. 2024; 13(9):1442.
https://doi.org/10.3390/land13091442
Chicago/Turabian Style
Oliveira, Jones Anschau Xavier de, Frederico Terra de Almeida, Adilson Pacheco de Souza, Rhavel Salviano Dias Paulista, Cornélio Alberto Zolin, and Aaron Kinyu Hoshide.
2024. "Determination of Soil Erodibility by Different Methodologies in the Renato and Caiabi River Sub-Basins in Brazil" Land 13, no. 9: 1442.
https://doi.org/10.3390/land13091442
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