Soil erodibility is a fundamental property associated with its susceptibility to particle detachment and transport by erosive agents such as water, wind, or anthropogenic disturbances. Its quantification is essential to support conservation management, land-use planning, and modeling of environmental degradation processes. However, direct laboratory determination of erodibility can be costly and time-consuming, limiting its application in regional studies. This study aimed to develop a pedotransfer function (PTF) to estimate soil erodibility based on the silt fraction, using data from 65 sampling points distributed across the municipality of Sorocaba (SP), Brazil. Samples underwent granulometric characterization, and erodibility values were estimated following the parameters of the EPIC model, which considers intrinsic soil variables such as texture and organic carbon content, derived from the Universal Soil Loss Equation (USLE). The relationship between silt content and erodibility was analyzed through simple linear regression, resulting in a statistically significant model (R2 = 83%, p < 0.05). Findings indicate that the silt fraction has predictive capacity, demonstrating to be a reliable indicator of soil susceptibility to physical degradation. The proposed PTF offers an accessible and applicable methodological alternative at the regional scale, useful for preliminary assessments in areas with limited data and edaphoclimatic characteristics like Sorocaba. The results highlight the importance of textural variables in predicting functional soil properties and emphasize the potential of simple statistical approaches to support environmental planning and erosion mitigation.
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