Spatio-temporal variability of erosivity in Mato Grosso, Brazil

  • Luis Augusto Di Loreto Di Raimo Universidade Federal de Mato Grosso (UFMT), Cuiabá, MT, Brasil Faculdade de Agronomia e Zootecnia (FAAZ). Programa de Pós-Graduação em Agricultura Tropical (PPGAT).
  • Ricardo Santos Silva Amorim Universidade Federal de Mato Grosso (UFMT), Cuiabá, MT, Brasil Faculdade de Agronomia e Zootecnia (FAAZ). Programa de Pós-Graduação em Agricultura Tropical (PPGAT).
  • Eduardo Guimarães Couto Universidade Federal de Mato Grosso (UFMT), Cuiabá, MT, Brasil Faculdade de Agronomia e Zootecnia (FAAZ). Programa de Pós-Graduação em Agricultura Tropical (PPGAT).
  • Rodolfo Luiz Bezerra Nóbrega University of Reading, Reading, United Kingdom Department of Geography and Environmental Sciences.
  • Gilmar Nunes Torres Universidade Federal de Mato Grosso (UFMT), Cuiabá, MT, Brasil Faculdade de Agronomia e Zootecnia (FAAZ). Programa de Pós-Graduação em Agricultura Tropical (PPGAT).
  • Edwaldo Dias Bocuti Universidade Federal de Mato Grosso (UFMT), Cuiabá, MT, Brasil Faculdade de Agronomia e Zootecnia (FAAZ). Programa de Pós-Graduação em Agricultura Tropical (PPGAT).
  • Cristiana Oliveira Silva Almeida Instituto Nacional de Colonização e Reforma Agrária (Incra), Brasília, DF, Brasil
  • Rafael Vinicius Rodrigues Universidade Federal de Mato Grosso (UFMT), Cuiabá, MT, Brasil Faculdade de Arquitetura, Engenharia e Tecnologia (FAET).
Keywords: erosion, geostatistics, GIS, soil conservation, USLE.

Abstract

The impact of rainfall on surfaces lacking vegetal cover can dissociate soil particles, thereby initiating the erosion process. This is known as rainfall erosivity and is expressed by the R factor in the Universal Soil Loss Equation. Agricultural areas often show seasonally erosion susceptibility throughout the year due to oscillations of the soil exposure rate and the vegetation change. Considering that approximately 30 million ha of the Mato Grosso State in Brazil is used for agriculture, this study aimed to predict and map the spatial and temporal variability of its territory. We evaluated the monthly (EI30) and annual (R) erosivity for 158 rain gauge stations and spatialized the values of EI30 and R by the Kriging method. It was observed that R values ranked as very high in the north, and high and medium-high in the south of Mato Grosso state. The mean value is 8835 MJ mm ha-1 h-1 year-1, considered high. Ninety-one percent of the annual erosivity was concentrated in the period between October and April, corresponding to the rainy season. The highest R factor values were found in the macro-regions of the northwest, north, west and medium-north of Mato Grosso State.


Published
06/11/2018
Section
Papers