Air pollution continues to represent a significant environmental and public health challenge throughout Europe, with the situation being particularly critical in Italy, where persistent exceedances of regulatory limits and widespread exposure to harmful pollutants raise serious concerns for both human well-being and the health of ecosystems. Particulate Matter (PM) and ground-level Ozone (O₃) are among the most harmful pollutants due to their broad spatial distribution and adverse health effects on humans and the environment. Their persistence is driven by complex atmospheric processes and regional emission sources that vary across different landscapes. In this study, we assess the capacity of alpine forest ecosystems in the Province of Trento (Northern Italy) to deliver Regulating Ecosystem Services (RES) through the removal of PM₁₀ and O₃ from the atmosphere. While PM₁₀ is removed via dry deposition on foliar surfaces, O₃ is mostly absorbed through stomatal uptake. The efficiency of pollutant removal is closely linked to species-specific traits and seasonal variations, which were accounted for by classifying forest vegetation into three functional groups based on their morphological and phenological characteristics. A spatially explicit, high-resolution modelling framework was used, combining land cover data, remote-sensing-derived Leaf Area Index (LAI), and spatial air pollution datasets. Seasonal removal efficiency (kg/ha) and total removal (Mg) were estimated using GIS-based analyses. The associated economic value of pollutant removal was quantified by using negative externalities value estimates from the European Environment Agency (EEA). The integrated biophysical and economic evaluation underscores the important role of forest ecosystems in mitigating air pollution. Results provide reference values useful for forest managers and policymakers to support evidence-based strategies for improving air quality while promoting functional biodiversity.