Exploring the spatial relations between soil physical properties and apparent electrical conductivity

被引:78
作者
Carroll, ZL
Oliver, MA
机构
[1] Ctr Ecol & Hydrol, Bangor LL57 2UP, Gwynedd, Wales
[2] Univ Reading, Sch Human & Environm Sci, Dept Soil Sci, Reading RG6 6DW, Berks, England
关键词
apparent electrical conductivity (ECa); cross-variogram; moving correlations; principal component analysis; soil physical properties; ELECTROMAGNETIC INDUCTION; SALINITY;
D O I
10.1016/j.geoderma.2005.03.008
中图分类号
S15 [土壤学];
学科分类号
0903 ; 090301 ;
摘要
Relations between the apparent electrical conductivity of the soil (ECa) and top- and sub-soil physical properties were examined for two arable fields in southern England (Crowmarsh Battle Farms and the Yattendon Estate). The spatial variation of ECa and the soil properties was explored geostatistically. The variogram ranges showed that ECa varied on a similar spatial scale to many of the soil physical properties in both fields. Several features in the map of kriged predictions of ECa were also evident in maps of the soil properties. In addition, the correlation coefficients showed a strong relation between ECa and several soil properties. A moving correlation analysis enabled differences in the relations between ECa and the soil properties to be examined within the fields. The results indicated that relations were inconsistent; they were stronger in some areas than others. A regression of ECa on the principal component scores of the leading components for both fields showed that the first two components accounted for a large proportion of the variance in ECa, whereas the others accounted for little or none. For Crowmarsh topsoil sand and clay, loss on ignition and volumetric water measured in the autumn had large correlations on the first component, and for Yattendon they were large for topsoil sand and clay, and autumn and spring volumetric water. The cross-variograms suggested strong coregionalization between ECa and several soil physical properties; in particular subsoil sand and silt at Crowmarsh, and subsoil sand and clay at Yattendon. The structural correlations from the linear model of coregionalization confirmed the strength of the relations between ECa and the subsoil properties. Nevertheless, no one property was consistently important for both fields. Although a map of ECa can indicate the general patterns of spatial variation in the soil, it is not a substitute for information on soil properties obtained by sampling and analysing the soil. Nevertheless, it could be used to guide further sampling. (c) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码:354 / 374
页数:21
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