Interpolating the Information of Site-based Soil Organic Carbon Stocks into Surface: a Case Study in the North China Plain

摘要

It is of great significance to understand the spatial variability of soil organic carbon (SOC) stocks of North China Plain which is one of the most important grain production bases in China. In this paper, we use Kriging interpolation method to generate a surface using the site-based SOC stocks in North China plain and then analyze the spatial variability of carbon SOC stocks. The surface data on the SOC stocks offers the one of the most important reference information to support the carbon management.