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Determination of Soil Erodibility by Different Methodologies in the Renato and Caiabi River Sub-Basins in Brazil

Author

Listed:
  • Jones Anschau Xavier de Oliveira

    (Environmental Sciences, Federal University of Mato Grosso, Sinop 78550-728, MT, Brazil)

  • Frederico Terra de Almeida

    (Institute of Agrarian and Environmental Sciences, Federal University of Mato Grosso, Sinop 78550-728, MT, Brazil)

  • Adilson Pacheco de Souza

    (Institute of Agrarian and Environmental Sciences, Federal University of Mato Grosso, Sinop 78550-728, MT, Brazil)

  • Rhavel Salviano Dias Paulista

    (Postgraduate Program in Environmental Physics, Institute of Physics, Federal University of Mato Grosso, 2367, Av. Fernando Corrêa da Costa, Cuiabá 78060-900, MT, Brazil)

  • Cornélio Alberto Zolin

    (EMBRAPA Agrossilvipastoril, Brazilian Agricultural Research Corporation, Sinop 78550-970, MT, Brazil)

  • Aaron Kinyu Hoshide

    (College of Earth, Life, and Health Sciences, The University of Maine, Orono, ME 04469, USA
    AgriSciences, Federal University of Mato Grosso, Sinop 78555-267, MT, Brazil)

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.

Suggested Citation

  • Jones Anschau Xavier de Oliveira & Frederico Terra de Almeida & Adilson Pacheco de Souza & Rhavel Salviano Dias Paulista & Cornélio Alberto Zolin & Aaron Kinyu Hoshide, 2024. "Determination of Soil Erodibility by Different Methodologies in the Renato and Caiabi River Sub-Basins in Brazil," Land, MDPI, vol. 13(9), pages 1-17, September.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:9:p:1442-:d:1472383
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    References listed on IDEAS

    as
    1. Middleton, H. E., 1930. "Properties of Soils Which Influence Soil Erosion," Technical Bulletins 159441, United States Department of Agriculture, Economic Research Service.
    2. Rhavel Salviano Dias Paulista & Frederico Terra de Almeida & Adilson Pacheco de Souza & Aaron Kinyu Hoshide & Daniel Carneiro de Abreu & Jaime Wendeley da Silva Araujo & Charles Campoe Martim, 2023. "Estimating Suspended Sediment Concentration Using Remote Sensing for the Teles Pires River, Brazil," Sustainability, MDPI, vol. 15(9), pages 1-22, April.
    3. Mohd Amirul Mahamud & Noor Aida Saad & Roslan Zainal Abidin & Mohd Fazly Yusof & Nor Azazi Zakaria & Mohd Aminur Rashid Mohd Amiruddin Arumugam & Safari Mat Desa & Md. Nasir Md. Noh, 2021. "Determination of Cover and Land Management Factors for Soil Loss Prediction in Cameron Highlands, Malaysia," Agriculture, MDPI, vol. 12(1), pages 1-11, December.
    4. Marco Aurélio Barbosa Alves & Adilson Pacheco de Souza & Frederico Terra de Almeida & Aaron Kinyu Hoshide & Handrey Borges Araújo & Apoliano Francisco da Silva & Daniel Fonseca de Carvalho, 2023. "Effects of Land Use and Cropping on Soil Erosion in Agricultural Frontier Areas in the Cerrado-Amazon Ecotone, Brazil, Using a Rainfall Simulator Experiment," Sustainability, MDPI, vol. 15(6), pages 1-21, March.
    5. Erika María López-García & Edgardo Torres-Trejo & Lucia López-Reyes & Ángel David Flores-Domínguez & Ricardo Darío Peña-Moreno & Jesús Francisco López-Olguín, 2020. "Estimation of soil erosion using USLE and GIS in the locality of Tzicatlacoyan, Puebla, México," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 15(1), pages 9-17.
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