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The spatial prediction of soil mineral N and potentially available N using elevation

Baxter, S. J. and Oliver, M. A. (2005) The spatial prediction of soil mineral N and potentially available N using elevation. Geoderma, 128 (3-4). pp. 325-339.

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To link to this item DOI: 10.1016/j.geoderma.2005.04.013

Abstract/Summary

The precision farmer wants to manage the variation in soil nutrient status continuously, which requires reliable predictions at places between sampling sites. Ordinary kriging can be used for prediction if the data are spatially dependent and there is a suitable variogram model. However, even if data are spatially correlated, there are often few soil sampling sites in relation to the area to be managed. If intensive ancillary data are available and these are coregionalized with the sparse soil data, they could be used to increase the accuracy of predictions of the soil properties by methods such as cokriging, kriging with external drift and regression kriging. This paper compares the accuracy of predictions of the plant available N properties (mineral N and potentially available N) for two arable fields in Bedfordshire, United Kingdom, from ordinary kriging, cokriging, kriging with external drift and regression kriging. For the last three, intensive elevation data were used with the soil data. The mean squared errors of prediction from these methods of kriging were determined at validation sites where the values were known. Kriging with external drift resulted in the smallest mean squared error for two of the three properties examined, and cokriging for the other. The results suggest that the use of intensive ancillary data can increase the accuracy of predictions of soil properties in arable fields provided that the variables are related spatially. (c) 2005 Elsevier B.V. All rights reserved.

Item Type:Article
Divisions:Faculty of Science > School of Archaeology, Geography and Environmental Science
Interdisciplinary centres and themes > Soil Research Centre
ID Code:3230
Uncontrolled Keywords:cokriging kriging with external drift regression kriging precision farming soil nitrogen elevation
Additional Information: Conference Information: 5th International Conference on Pedometrics Univ Reading UK, Reading, ENGLAND, SEP 11-12, 2003 Int Union Soil Sci, Working Grp Pedomet

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