| 高义民,同延安,常庆瑞,曾艳娟.基于ArcGIS地统计学的黄土高原村级尺度下土壤有机质空间格局研究[J].干旱地区农业研究,2010,28(4):188~191 |
| 基于ArcGIS地统计学的黄土高原村级尺度下土壤有机质空间格局研究 |
| The spatial pattern of soil organic matter in the Loess Plateau with village scale based on ArcGIS geostatistics |
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| DOI：10.7606/j.issn.1000-7601.2010.04.35 |
| 中文关键词: ArcGIS 地统计学 黄土高原 村级尺度 有机质 空间格局 |
| 英文关键词:ArcGIS geostatistics loess plateau village scale soil organic matter spatial pattern |
| 基金项目:国际植物营养研究所(IPNI)；国家科技支撑计划“西北退化耕地地力恢复技术模式研究与示范”(2006BAD05B07) |
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| 中文摘要: |
| 在网格法采集土样的基础上,以ArcGIS Geostatistics模块为工具,从地统计学角度研究了陕西黄土高原地区村级尺度下土壤有机质的空间变异性和空间分布格局。结果表明,研究区360个土样的有机质平均含量为3.37 g/kg,处于较低水平,其数据符合正态分布。有机质含量可用一阶曲线拟合,其最佳半方差函数符合球状模型,且具有明显的各向异性特征,长轴方向和短轴方向的变程分别为965.7 m和440.3 m,具有中等程度的空间相关性。普通Kriging插值结果显示,研究区有机质含量分布表现出较明显的北高南低、中间高四周低的阶梯状分布趋势。研究区土壤有机质的空间分布格局是结构性因素(地势)和随机性因素(土地利用类型)共同作用的结果。 |
| 英文摘要: |
| The objective of this study was to explore the relationship between spatial variability of soil organic matter
and agro-ecological environment in the Loess Plateau. Geostatistics module of ArcGIS was applied to study the spatial variability and spatial pattern of soil organic matter, based on the data of 360 soil samples that were taken by grid sam-pling method in Xinji village in Shaanxi as the case study. The results indicated that the average content of soil organic matter was 3.37 g/kg, with a normal distribution in the study area. The distribution of soil organic matter content in the whole area exhibited a first-order trend. The best theoretical model was spherical model, with anisotropy . The spatial au-tocorrelation distances (ranges)were 965.7 m and 440.3 m in long axle and in short axle, respectively, and the degree of spatial autocorrelation was moderate. A spatial distribution map of soil organic matter content was obtained using ordi-nary Kriging interpolation, which showed that soil organic matter was higher in north and center than that in south and around，turming out ladder-like distribution trends. This spatial pattem was consistent with tructural factors (topography) and random factors (land-use types). |
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