County-scale Spatial Variability of Soil Organic Matter Distribution and Determination of Reasonable Sampling Density

JIANG Huai-long; LI Yi-xue; ZHAO Qian-qian

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County-scale Spatial Variability of Soil Organic Matter Distribution and Determination of Reasonable Sampling Density

- County-scale Spatial Variability of Soil Organic Matter Distribution and Determination of Reasonable Sampling Density
- Bulletin of Soiland Water Conservation Vol. 31, Issue 4, Pages: 143-146(2012)
- 作者机构：
  
  山东农业大学资源与环境学院,山东,泰安,271018
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- Published：2012
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JIANG Huai-long, LI Yi-xue, ZHAO Qian-qian. County-scale Spatial Variability of Soil Organic Matter Distribution and Determination of Reasonable Sampling Density[J]. Bulletin of Soiland Water Conservation, 2012, 31(4): 143-146.
DOI：

JIANG Huai-long, LI Yi-xue, ZHAO Qian-qian. County-scale Spatial Variability of Soil Organic Matter Distribution and Determination of Reasonable Sampling Density[J]. Bulletin of Soiland Water Conservation, 2012, 31(4): 143-146. DOI：

摘要

以有机质为例，以高密度土壤养分采样数据为数据源，通过随机抽取生成不同采样密度的样点数据，分析了不同采样密度下土壤有机质的空间变异特征及县域合理采样数．研究结果表明，在一定研究尺度下采样密度对土壤养分的模型拟合、变程和空间相关性没有显著影响，即适当减少样点数可以满足插值分析的需要，充分考虑土壤养分空间变异评价的精度分析，确定县域土壤有机质合理采样数应控制在400个以上．

Abstract

Take soil organic matter(SOM) as an example

this study discussed the spatial variability and rea-sonable sampling number for soil organic matter. Sampling schemes with different sample intensities were simulated by extracting data from a soil nutrient database of intensive samples. The results showed that sam-piing density had no significant influence on spatial correlation and model fitting of soil nutrient on a certain scale. It is possible to reduce the number of sample points to satisfy the need of the research regarding spatial variability of soil nutrients. Taking spatial prediction accuracy into consideration

more than 400 samples should be the suitable number to evaluate the spatial variability of SOM on county scale.

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