Comparison of Forest Carbon Spatial Distribution Based on Kriging Interpolation and Sequential Gaussian CoSimulation

The spatial distribution of aboveground forest carbon storage in Xianju County, Zhejiang Province was estimated and simulated by means of applying Ordinary Kriging interpolation method and sequential Gaussian cosimulation method,and the outcomes were comparatively analyzed. The results showed that the aboveground forest carbon storage of Xianju County was relatively low and it was unevenly distributed. The Ordinary Kriging interpolation method greatly changed the spatial distribution of aboveground forest carbon storage, which showed a distinctly smooth effect. The sequential Gaussian cosimulation method was better than Ordinary Kriging interpolation method in reducing the smooth affect. For the spatial distribution, Ordinary Kriging interpolation method had to recover the nonforest land prior to representing its distribution,but the sequential Gaussian cosimulation method could represent distribution of the nonforestland without having recovered it. And for the prediction accuracy, the predicted result from sequential Gaussian cosimulation method was relatively higher than that of the Ordinary Kriging interpolation method.Therefore, the sequential Gaussian cosimulation method should be a better and more effective method for studying the forest carbon spatial distribution.