Spatial patterns of predicted organic carbon stocks in Norwegian forest soils. The predictions are generated from boosted regression tree models and represent the predicted soil organic carbon stock for three soil depth intervals: (1) soil surface down to 100 cm depth, (2) forest floor (LFH layer), and (3) 0–30 cm into the mineral soil.

R, 3.5.2

qGIS, 3.22.5

ICP forest monitoring program on forest health.

Lorenz, M., 1995. International co-operative programme on assessment and monitoring of air pollution effects on forests-ICP forests. Water Air Soil Pollut. 85, 1221–1226. https://doi.org/10.1007/BF00477148.

The purpose of the map presented here is to provide spatial information on soil organic carbon (SOC) stocks in Norwegian forests. The maps are based on predictive boosted regression tree (BRT) models, which were also used to identify key covariates influencing SOC. Based on these covariates, we discuss the main factors that potentially explain SOC variation in Norwegian forests in doi:10.1016/j.scitotenv.2025.179451.