Emerging Investigator Series: Predicted Losses Of Sulfur And Selenium In European Soils Using Machine Learning: A Call For Prudent Model Interrogation And Selection

This article discusses the potential impacts of reductions in sulfur (S) and selenium (Se) atmospheric deposition on soil levels in Europe. Using machine learning techniques, the authors predict that both elements will experience losses in the central and Mediterranean regions, while gains are expected in Scandinavia by the end of the 21st century. The models also highlight the need for critical evaluation and consistency with known mechanisms reported in literature.