论文部分内容阅读
为分析典型黄土区土壤有机质横向和垂向分布,本文以典型黄土区少量采样点土壤信息和ASTER GDEM数据为基础,借助土壤-环境推理模型反演不同深度区域土壤有机质精细的空间分布信息,再对深度与有机质含量进行线性回归拟合,得到区域有机质垂向斜率(k)及判定系数(R2)的空间分布,最后与土地利用图叠加,利用局部G统计量剖析不同土地利用方式下土壤有机质的横向分布及垂向变异特性。结果表明,土壤-环境推理模型在本区域适用且精度较高;人类作用较多的土地利用方式下土壤有机质横向分布与垂向变异存在均一性,相反,自然作用较多形成的土壤,其有机质分布离差较大,较为复杂;横向与垂向综合分析可获取更为全面的土壤信息。
In order to analyze the horizontal and vertical distribution of soil organic matter in a typical loess area, based on the soil information and ASTER GDEM data of a few sampling sites in a typical loess area, the spatial and spatial distribution of soil organic matter in different depth regions was retrieved by using soil-environment inference model The spatial distribution of vertical slope (k) and coefficient of determination (R2) of regional organic matter was obtained by linear regression fitting of depth and organic matter content. Finally, it was superposed with the land use map. Using local G statistics, the spatial heterogeneity of soil organic matter The horizontal distribution and vertical variation characteristics. The results showed that the model of soil-environment reasoning was suitable and accurate in this region. The homogeneity of horizontal distribution and vertical variation of soil organic matter under the land use pattern with more human actions was conversely. On the contrary, Distribution of large deviations, more complex; horizontal and vertical comprehensive analysis can get more comprehensive soil information.