CAJ | 학술논문

以浙江省仙居县为例，利用普通克里格插值法和序贯高斯协同模拟法对森林碳储量（地上部分）的空间分布进行估计，利用交叉检验方法对其结果进行对比分析。结果表明，仙居县的森林碳密度分布差异较大，大部分地区森林碳密度较低；普通克里格法未能体现森林碳密度的空间差异，具有明显的“平滑”效应，序贯高斯协同模拟在减少平滑影响方面优于前者，序贯高斯协同模拟法的预测结果较克里格插值法高。
이절강성선거현위례，이용보통극리격삽치법화서관고사협동모의법대삼림탄저량（지상부분）적공간분포진행고계，이용교차검험방법대기결과진행대비분석。결과표명，선거현적삼림탄밀도분포차이교대，대부분지구삼림탄밀도교저；보통극리격법미능체현삼림탄밀도적공간차이，구유명현적“평활”효응，서관고사협동모의재감소평활영향방면우우전자，서관고사협동모의법적예측결과교극리격삽치법고。
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 for-est carbon storage of Xianju County was relatively low and it was unevenly distributed.The Ordinary Kriging inter-polation method greatly changed the spatial distribution of aboveground forest carbon storage,which showed a dis-tinctly 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 re-cover 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 Krig-ing interpolation method.Therefore,the sequential Gaussian co-simulation method should be a better and more effective method for studying the forest carbon spatial distribution.