中文摘要：

选择典型的岩溶峰丛洼地区域,在利用多元逐步回归分析研究0-20 cm深度土壤全氮含量与地形指数关系的基础上,利用普通克里格法（OK）、单变量协同克里格法（COK）和多变量协同克里格法（MCOK）对土壤全氮的空间变异性进行了分析。结果表明：研究区域土壤全氮含量空间分布可以用两个回归模型来表征。克里格插值分析表明,当全氮含量与地形因子相关系数较低时,COK法并不能有效提高全氮预测精度;随着协同变量的增加,MCOK法能够显著提高全氮预测精度。

英文摘要：

A typical peak-cluster depression area was selected as the study area. Based on the relationships between total soil nitrogen content in 0 - 20 cm depth and terrain attributes by multiple linear stepwise regression method, the spatial variability of total nitrogen was studied by ordinary Kriging （OK） , univariate Cokriging （COK） and multivariable Cokriging （MCOK） methods. Results showed that the spatial distribution of total nitrogen can be described by two regression models. Distance from ridge of mountains （ V~Fn） entered into the regression equation for the model （ 1 ） , and distance from ridge of mountains （ VorR） and relief degree of land surface （VRs） entered into the regression equation for the model （2）. Therefore, Vol~R was selected as auxiliary variable to predict total nitrogen by COK method, and VovR and VRs were selected as auxiliary variables to predict total nitrogen by MCOK method. The Kriging interpolation indicated that when the correlation coefficient between total nitrogen and terrain attributes was small, the accuracy of COK was increased litter. While MCOK can promote the accuracy notable. This study can provide a new idea and method for evaluation and ecological reconstruction of the karst rock desertification.