Development of a Mathematical Model for the Prediction of Organic Carbon Loss Due to Water Erosion in the Upper Andean Micro-Watersheds of Sangay National Park

A robust mathematical model has been developed to predict organic carbon loss due to water erosion in the high Andean micro-watersheds of Sangay National Park, Ecuador. The model, based on soil physicochemical variables such as carbon content and the carbon-nitrogen (C_N) ratio, reveals that nutrient-rich soils exhibit greater resistance to erosion while compaction negatively impacts carbon storage capacity. Notably, deeper soil layers (60 cm) show more stability against surface erosion compared to shallower depths (30 cm). The model effectively accounts for variability in carbon dynamics under different conditions, providing a reliable tool for monitoring and mitigating erosion in vulnerable high-altitude ecosystems. This research addresses critical gaps in understanding soil organic carbon dynamics in remote Andean environments, offering practical insights for conservation efforts.

Cazorla-Vinueza, X., Barahona-Morales, M., & Estrada-Brito, N. (2025). Development of a Mathematical Model for the Prediction of Organic Carbon Loss Due to Water Erosion in the Upper Andean Micro-Watersheds of Sangay National Park. Journal of Lifestyle and SDGs Review, 5(2), e04408. https://doi.org/10.47172/2965-730x.sdgsreview.v5.n02.pe04408