| Spatial variability of soil organic matter in long-term small scale across cultivated crop land |
|
View Fulltext View/Add Comment Download reader |
| |
| DOI：10.7606/j.issn.1000-7601.2010.02.35 |
| Key Words: soil organic matter spatial variability anisotropy semi-variogram Kriging estimation |
| Author Name | Affiliation | | ZHANG Fasheng | Key Laboratory of Liaoning Water-saving Agriculture, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China； Graduate University, Chinese Academy of Sciences, Beijing 100049, China | | LIU Zuoxin | Key Laboratory of Liaoning Water-saving Agriculture, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China | | QU Wei | Key Laboratory of Liaoning Water-saving Agriculture, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China； Graduate University, Chinese Academy of Sciences, Beijing 100049, China | | KANG Zhenjun | Key Laboratory of Liaoning Water-saving Agriculture, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China； Graduate University, Chinese Academy of Sciences, Beijing 100049, China | | SHEN Yejie | Key Laboratory of Liaoning Water-saving Agriculture, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China； Graduate University, Chinese Academy of Sciences, Beijing 100049, China |
|
| Hits: 458 |
| Download times: 317 |
| Abstract: |
| The data collected from a 10.24 hm2 crop land in dense grid of 10 m×10 m were used to analyze the spatial variability of the surface (0～30 cm )soil organic matter（SOM）by geostatistics method．Within the study area, soil organic matter had weak variability as CV≤1.84%, but it was entirely low in the content no more than 1.04%. The differences between semivariograms among the four directions showed that soil organic matter had anistropical distribution characteristics. Both Kriging estimation based on the isotropical semivariogram model and the combination model of anisotropical semivariogram made satisfiable predication, however, the latter had better accuracy and reality than the anterior. |
|
|
|