caa a22 4500 445864699 CHVBK 20180317145454.0 cr unu---uuuuu 170323e20111001xx s 000 0 eng 10.1007/s11119-011-9218-5 doi (NATIONALLICENCE)springer-10.1007/s11119-011-9218-5 Soil apparent electrical conductivity and geographically weighted regression for mapping soil [Elektronische Daten] [J. Terrón, J. Marques da Silva, F. Moral, Alfonso García-Ferrer] To resolve the spatial variation in soil properties intensively is expensive, but such knowledge is essential to manage the soil better and to achieve greater economic and environmental benefits. The objective of this study was to determine whether the soil apparent electrical conductivity (ECa), alone or combined with other variables, is a useful alternative for providing detailed information on the soil in the Extremadura region of Spain. Apparent soil electrical conductivity was measured and geographically weighted regression was used to characterize the spatial variation in soil properties, which in turn can be used for soil management. This study shows that soil cation exchange capacity, calcium content, clay percentage and pH have a relatively strong spatial correlation with ECa in the soil of the study area. Springer Science+Business Media, LLC, 2011 Soil apparent electrical conductivity (Eca) nationallicence Clay soil nationallicence Soil mapping nationallicence Site-specific management nationallicence Terrón J. Departamento de Cultivos Extensivos, Centro de Investigación La Orden-Valdesequera, Consejería de Economía, Comercio e Innovación, Junta de Extremadura, 06187, Guadajira, Badajoz, Spain aut Marques da Silva J. Departamento de Engenharia Rural, Instituto de Ciências Agrárias e Ambientais Mediterrânicas (ICAAM), Escola de Ciências e Tecnologia, Universidade de Évora, Apartado 94, 7002-554, Évora, Portugal aut Moral F. Departamento de Expresión Gráfica, Escuela de Ingenierías Industriales, Universidad de Extremadura, Avda. de Elvas, s/n, 06071, Badajoz, Spain aut García-Ferrer Alfonso Departamento de Ingeniería Gráfica y Geomática, E.T.S. Ingenieros Agrónomos y Montes, Universidad de Córdoba, Córdoba, Spain aut Precision Agriculture Springer US; http://www.springer-ny.com 12/5(2011-10-01), 750-761 1385-2256 12:5<750 2011 12 11119 https://doi.org/10.1007/s11119-011-9218-5 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11119-011-9218-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Terrón J. Departamento de Cultivos Extensivos, Centro de Investigación La Orden-Valdesequera, Consejería de Economía, Comercio e Innovación, Junta de Extremadura, 06187, Guadajira, Badajoz, Spain aut NATIONALLICENCE 700 1- Marques da Silva J. Departamento de Engenharia Rural, Instituto de Ciências Agrárias e Ambientais Mediterrânicas (ICAAM), Escola de Ciências e Tecnologia, Universidade de Évora, Apartado 94, 7002-554, Évora, Portugal aut NATIONALLICENCE 700 1- Moral F. Departamento de Expresión Gráfica, Escuela de Ingenierías Industriales, Universidad de Extremadura, Avda. de Elvas, s/n, 06071, Badajoz, Spain aut NATIONALLICENCE 700 1- García-Ferrer Alfonso Departamento de Ingeniería Gráfica y Geomática, E.T.S. Ingenieros Agrónomos y Montes, Universidad de Córdoba, Córdoba, Spain aut NATIONALLICENCE 773 0- Precision Agriculture Springer US; http://www.springer-ny.com 12/5(2011-10-01), 750-761 1385-2256 12:5<750 2011 12 11119 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer