Predicting the spatial distribution of soil organic carbon stock in Swedish forests using a group of covariates and site-specific data

• Published in: Soil Vol. 7; no. 2; pp. 377 - 398
• Main Authors: Hounkpatin, Kpade O. L., Stendahl, Johan, Lundblad, Mattias, Karltun, Erik
• Format: Journal Article
• Language: English
• Published: Göttingen Copernicus GmbH 06.07.2021; Copernicus Publications
• Subjects: Accuracy; Calibration; Carbon; Data; Decomposing organic matter; Digital mapping; Forest soils; Humus; Land use; Landscape; Markvetenskap; National forests; Organic carbon; Predictions; Remote sensing; Soil; Soil layers; Soil mapping; Soil moisture; Soil properties; Soil Science; Soil texture; Soil types; Spatial distribution; Spatial variations; Stock assessment; Stocks; Texture; Topography; Vegetation type; Sweden

The status of the soil organic carbon (SOC) stock at any position in the landscape is subject to a complex interplay of soil state factors operating at different scales and regulating multiple processes resulting either in soils acting as a net sink or net source of carbon. Forest landscapes are cha...