Spatiotemporal dynamics of soil organic carbon at 30 m-resolution in Europe: responses to land cover stability and conversion

• High-resolution (30 m) SOC mapping is conducted for 23 European countries. • The VR model enhanced predictive accuracy. • The impact of land cover stability and conversion on SOC dynamics is quantified. • Paired t-tests show significant SOC changes from land cover changes. • Forests, grasslands, and wetlands are more conducive to SOC storage when unchanged. High-resolution soil organic carbon (SOC) mapping can provide more detailed information on SOC distribution, enabling accurate assessment of the impact of small-scale land cover changes on SOC content within a region. This study provides the first high-resolution (30 m) spatiotemporal SOC maps for 23 European countries. A Voting Regressor (VR) model combining Random Forest (RF), Categorical Boosting (CatBoost), and Light Gradient Boosting Machine (LightGBM) was used with soil data from the Land Use/Cover Area frame statistical Survey (LUCAS) soil data and environmental factors to predict SOC. This study revealed the differential impacts of land cover conversion types on SOC content, thereby addressing a knowledge gap in quantitatively assessing the carbon effects of land cover changes at the mesoscale regional level. The VR model demonstrated good predictive accuracy, with an R 2 ranging from 0.57 to 0.75 and an average of 0.64. It showed a statistically significant improvement over the RF (ΔR 2 = +0.11), CatBoost (ΔR 2 = +0.10), and LightGBM (ΔR 2 = +0.12) models. Furthermore, clay content was identified as the most influential variable in all models. SOC levels exhibited a highly skewed distribution, with the vast majority of areas below 60.00 g kg −1 , while isolated extreme values above 300.00 g kg −1 were observed in regions such as northern UK, Ireland, the Scandinavian Peninsula, and the Alps. Despite an overall increasing SOC trend, regions such as north-western Ireland and the UK, southern Italy and Spain, north-western Greece, and northern Scandinavia saw continued SOC losses. Wetlands, grasslands, and forests—especially wetlands—demonstrated high carbon sequestration capacity, while agricultural land had the lowest SOC levels. Land cover conversions significantly influenced SOC: All land cover transitions or stable conditions resulted in statistically significant changes in SOC. Conversion from forest to agriculture caused the largest SOC loss (median decrease of 13.22 g kg −1 , P < 0.001), while land abandonment to grassland (increase of 11.14 g kg −1 , P < 0.001) and other conversions to grassland (increase of 19.25 g kg −1 , P < 0.001) both led to significant SOC gains.