Zhang Ya-Ru, Ouyang Xu, Chu Guo-Wei, Zhang Qian-Mei, Liu Shi-Zhong, Zhang De-Qiang, Li Yue-Lin
Ying Yong Sheng Tai Xue Bao. 2014 Jan;25(1):19-23.
Geostatistical techniques were used to quantify the spatial heterogeneity of soil organic carbon and total nitrogen of one monsoon evergreen broadleaf forest area in Dinghushan, Guangdong, China. The results demonstrated that a significant spatial autocorrelation existed between soil organic carbon and total nitrogen contents in the Dinghushan monsoon evergreen broadleaf forest, such that 93.6% and 53.7% of their total spatial heterogeneity originated from their spatial autocorrelation. This observation agreed with a traditional statistics analysis showing a significant linear correlation between soil organic carbon and total nitrogen, and also their spatial autocorrelation existed at a landscape level. The best fit from an exponential model showed that soil organic carbon had high degree of spatial heterogeneity at a scale of 17.4 m.
运用地统计技术对中国广东鼎湖山某季风常绿阔叶林区域土壤有机碳和全氮的空间异质性进行了量化。结果表明,鼎湖山季风常绿阔叶林土壤有机碳和全氮含量之间存在显著的空间自相关性,其总空间异质性的93.6%和53.7%源于空间自相关性。这一观察结果与传统统计分析一致,该分析表明土壤有机碳和全氮之间存在显著的线性相关性,且它们在景观水平上也存在空间自相关性。指数模型的最佳拟合结果表明,土壤有机碳在17.4米的尺度上具有高度的空间异质性。