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      Using Multivariate Geostatistics to Assess Patterns of Spatial Dependence of Apparent Soil Electrical Conductivity and Selected Soil Properties

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          Abstract

          The apparent soil electrical conductivity (EC a) was continuously recorded in three successive dates using electromagnetic induction in horizontal (EC a-H) and vertical (EC a-V) dipole modes at a 6 ha plot located in Northwestern Spain. One of the EC a data sets was used to devise an optimized sampling scheme consisting of 40 points. Soil was sampled at the 0.0–0.3 m depth, in these 40 points, and analyzed for sand, silt, and clay content; gravimetric water content; and electrical conductivity of saturated soil paste. Coefficients of correlation between EC a and gravimetric soil water content (0.685 for EC a-V and 0.649 for EC a-H) were higher than those between EC a and clay content (ranging from 0.197 to 0.495, when different EC a recording dates were taken into account). Ordinary and universal kriging have been used to assess the patterns of spatial variability of the EC a data sets recorded at successive dates and the analyzed soil properties. Ordinary and universal cokriging methods have improved the estimation of gravimetric soil water content using the data of EC a as secondary variable with respect to the use of ordinary kriging.

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          Most cited references24

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          Field-Scale Variability of Soil Properties in Central Iowa Soils

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            Geostatistics

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              Geostatistics for natural reources evaluation

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                Author and article information

                Journal
                ScientificWorldJournal
                ScientificWorldJournal
                TSWJ
                The Scientific World Journal
                Hindawi Publishing Corporation
                2356-6140
                1537-744X
                2014
                31 December 2014
                : 2014
                : 712403
                Affiliations
                1Centro de Ciências Agrárias e Ambientais, Universidade Federal do Maranhão, BR-222, Km 04, s/n, Boa Vista, 65500-000 Chapadinha, MA, Brazil
                2Departamento de Ingeniería Agroforestal, Escuela Politécnica Superior, Universidad de Santiago de Compostela, Campus Universitario, s/n, 27002 Lugo, Spain
                3Departamento de Engenharia Agrícola, Universidade Federal Rural de Pernambuco, Dois Irmãos, 52171-900 Recife, PE, Brazil
                Author notes
                *Glécio Machado Siqueira: gleciosiqueira@ 123456hotmail.com

                Academic Editor: Ana Maria Tarquis

                Article
                10.1155/2014/712403
                4294306
                631cc196-f65c-4025-a67f-8df28c5eb801
                Copyright © 2014 Glécio Machado Siqueira et al.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 24 June 2014
                : 26 August 2014
                : 28 August 2014
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