Spatial Variability and Mapping SOC Stocks

In this lecture, we explore advanced strategies for quantifying and accounting for the spatial variability of soil organic carbon stocks within a digital soil mapping framework. Emphasis is placed on robust statistical methodologies, including model development, validation techniques, and uncertainty quantification, to ensure reliable and defensible spatial predictions across heterogeneous landscapes.