作　　者： ; ; ;

机构地区： 福建师范大学地理科学学院自然资源研究中心

出　　处： 《福建师范大学学报（自然科学版）》 2005年第3期78-83,共6页

摘　　要： 选取闽东南漳浦沿海低丘台地区为样区,依托SOTER理论和地理信息系统技术,从漳浦样区SOTER数据库中选取地貌图、岩性图和土系图,对样区17个典型土壤剖面理化性质进行空间自相关分析.结果表明,样区土系理化性质具有从沿海至内陆方向变异的全局趋势,去除趋势面后各向异性不明显.将地貌图、岩性图和土系图叠加后可知影响土系空间分异的因素中,地貌、微地貌和母岩决定变异的全局趋势,其余因素影响极小. Using geostatistics for studying on these variables with random and structure is becoming one of the main spatial analytical methods within the field of environmental sciences which has more information on spatial variability and scales of soil properties than classical statistical methods. Based on the SOTER methodology and spatial function of GIS, a local level SOTER database in an experimental plot of Zhangpu county in southeast of Fujian province was upbuilt in the study. The maps of relief, lithology and soil series were selected from the database as the data source. The spatial autocorrelation analysis was applied to the physical and chemical properties of the 17 typical soil profiles. The results indicated the soil series had relatively strong spatial correlation patterns and there were global trend from coast to inland and unconspicuous anisotropy after removing the trend. To explore the causes of the phenomenon the study combined the maps of relief, lithology and microlandform to construct the soil series-landscape models which showed the global trend was determined by relief, lithology and soil series while low anisotropy comes from other influence factors.

关 键 词： 有机碳 空间自相关 地理信息系统 漳浦县

领　　域： [农业科学] [农业科学]