中文摘要：

利用LI-8100土壤呼吸测定系统连续一年测定艾比湖湿地3个典型生态系统土壤呼吸，定量研究其与0～50orll土壤有机碳的关系，在此基础上估算艾比湖湿地97个点的土壤呼吸速率，进一步采用传统和地统计学的方法对土壤呼吸及环境因子的空间异质性进行分析。结果表明：土壤呼吸速率在0．342～10．848μmol·m-2.s-1之间，平均值为1．109μmol·m-2.s-1，变异系数为167．37％，属强变异；高斯模型能较好地反映土壤呼吸和0～50cm土壤有机碳的空间结构特征；土壤呼吸、土壤有机碳和土壤含水量的c。／（C0＋C）均在0％～0．1％之间，反映了土壤呼吸、土壤有机碳和土壤含水量在此研究尺度上具有强烈的空间异质性，且结构性因子影响其空间变异。用Kriging插值法绘制的土壤呼吸空间分布图表明土壤呼吸在空间分布上存在着高度的空间自相关性，在研究区大尺度长时间范围内，土壤有机碳是影响土壤呼吸空间分布的主要因子。总体上，艾比湖湿地自然保护区土壤呼吸呈现东南、西北方向高，中部低的特点，且具有明显的斑块和连续分布的特点。

英文摘要：

Soil respiration changes not only in time but also in space obviously. Those temporal and spatial varia- tions enhance uncertainties in soil respiration measurements. Understanding the spatial and temporal variation in soil respiration of a region is fundamental for an accurate estimation of soil respiration in the region. Geostatistics method is a spatial analysis method evolved from the traditional statistics analysis, which is not only can effectively reveal the spatial distribution variation characteristics of variables, but also can effectively explain the implications of spatial patterns on ecological processes and functions. With the wide application of geostatistics in ecological re- search, making conduct research on spatial heterogeneity of soil respiration and variance process on a larger-scale become possible. At the beginning of the century, the scientists abroad conducted research on spatial heterogeneity of soil respiration and its influencing factors using geostatistics method, while those researches in domestic began in recent years. In this paper, the soil respiration of three ecosystems was measured from November 2009 to February 2012 at Ebinur Lake Wetland Nature Reserve, Bortala Mongol Autonomous Prefecture, Xinjiang, China, and quanti- tative study carried out on the relationship between soil respiration and 0-50cm soil organic carbon, and then simu- lated soil respiration accomplished at 97 sites in Ebinur Lake Wetland Nature Reserve through model. And at last, the spatial heterogeneity was analyzed of soil respiration and its relation to other environmental factors using both tra- ditional and geostatistics methods. The traditional statistical analysis（descriptive statistics）showed that the soil respi- ration rate was between 0.342 and 10.848 μ mol. m-2. s-1, and the average was 1.109 μ mol. m-2. s-1, the coefficients of variation were 167.37% , indicating that spatial variation of soil respiration in this area was strong. When semi-variance analysis of geostatistics was used, th