克里格插值在区域土壤有机碳空间预测中的应用
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中国科学院战略性先导科技专项项目(XDAO5050509);国家重点基础研究发展计划(973计划)项目(2010CB950702)


Application of Kriging method in spatial prediction of regional soil organic carbon
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    摘要:

    基于河北省第二次全国土壤普查数据,对比了常用土壤有机碳相关因子土地利用和土壤类型与普通克里格插值结合前后对土壤有机碳密度空间预测精度的差异,探讨了普通克里格插值在区域土壤有机碳空间预测中的应用。研究结果表明,土地利用能够独立解释土壤有机碳密度总方差的19.0%,与普通克里格插值结合以后能够将对土壤有机碳密度总方差的解释程度显著提高到30.2%。低级土壤分类土属能够独立解释土壤有机碳密度总方差的45.0%,但与普通克里格插值结合以后对土壤有机碳密度总方差的解释程度为44.8%,两者相差不大。因此区域空间上能否进一步应用普通克里格插值优化土壤有机碳的空间预测与所选用的土壤有机碳相关因子有关。

    Abstract:

    Based on the soil profile data from Second National Soil Survey of Hebei,the paper compared the differences of spatial predication of soil organic carbon(SOC)between two prediction methods,one is predicted only by land use and soil type,the other is by combining land use and soil type with Kriging to study the application of Kriging method in spatial predication of soil organic carbon.The results indicated that result by using land use type alone as auxiliary information the predicted SOC could account for 19.0% of the total variance, while combining the land use and ordinary Kriging could account for 30.2%,with a significant improvement in prediction accuracy.In contrast, using soil genus information alone as auxiliary information could account for 45.0% of the total variance,however,combining with ordinary Kriging did not affect the predict accuracy efficiently, which is 44.8% of the total variance.Therefore,if Kriging can be applied to improve the prediction ability of SOC spatial variation is related with what the related factor of soil organic carbon is used to predicate the SOC spatial distribution.

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顾成军*.克里格插值在区域土壤有机碳空间预测中的应用[J].中国土壤与肥料,2014,(3):93-97.

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  • 收稿日期:2013-07-30
  • 最后修改日期:2013-10-31
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  • 在线发布日期: 2014-06-19
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