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Assessing Soil Erosion Susceptibility in a Tropical Landscape: Insights from a Brazilian Case Study

Author

Listed:
  • João Vitor Roque Guerrero

    (Institute of Socio-Environmental Studies, Federal University of Goiás (UFG), Goiânia 74690-900, GO, Brazil)

  • Elton Vicente Escobar-Silva

    (National Center for Monitoring and Early Warning of Natural Disasters (Cemaden), São José dos Campos 12247-016, SP, Brazil)

  • Cláudia Maria de Almeida

    (Earth Observation and Geoinformatics Division, National Institute for Space Research (INPE), São José dos Campos 12227-010, SP, Brazil)

  • Cintia Campos

    (Faculty of Science and Technology, Federal University of Goiás (UFG), Goiânia 74971-451, GO, Brazil)

  • José Augusto Di Lollo

    (Ilha Solteira College of Engineering, São Paulo State University, Ilha Solteira 15385-000, SP, Brazil)

  • Alberto Gomes

    (CEGOT—Centre of Studies in Geography and Spatial Planning, Faculty of Arts and Humanities of Porto, University of Porto, Via Panorâmica s/n, 4150-564 Porto, Portugal)

  • Fabrizia Gioppo Nunes

    (Institute of Socio-Environmental Studies, Federal University of Goiás (UFG), Goiânia 74690-900, GO, Brazil)

Abstract

Soil is a strategic resource essential for maintaining ecosystem services, an initiative closely linked to a country’s stage of development. In this sense, urgent strategies are required to mitigate the impacts of climate change on soil systems. This study aimed to assess the susceptibility to soil erosion as a means to support sustainable land-use planning in the municipality of Anápolis, presenting a highly disturbed landscape in Brazil. To achieve this, we applied the Information Value (IV) technique—a Bayesian statistical method based on frequency analysis—which quantifies the influence of various geoenvironmental factors on the probability of erosion occurrence by statistically evaluating their relationship with past erosion events. The results showed that approximately 50% of the municipality is highly susceptible to erosion, and for this reason, these areas should be prioritized by public authorities. The proposed geoenvironmental model demonstrated a satisfactory accuracy (~80%), confirming its effectiveness as a tool to enhance soil resilience.

Suggested Citation

  • João Vitor Roque Guerrero & Elton Vicente Escobar-Silva & Cláudia Maria de Almeida & Cintia Campos & José Augusto Di Lollo & Alberto Gomes & Fabrizia Gioppo Nunes, 2026. "Assessing Soil Erosion Susceptibility in a Tropical Landscape: Insights from a Brazilian Case Study," Sustainability, MDPI, vol. 18(4), pages 1-21, February.
    • Handle: RePEc:gam:jsusta:v:18:y:2026:i:4:p:1878-:d:1863079
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