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ORIGINAL RESEARCH |
a IFAPA, Centro Las Torres-Tomejil, Junta de Andalucía, Ctra. Sevilla-Cazalla, 41200 Alcalá del Río, Sevilla, Spain
b IFAPA, Centro Alameda del Obispo, Junta de Andalucía, Avda. Menéndez Pidal, s/n, 14080 Córdoba, Spain
Correspondence: * Corresponding author (gonzalo.martinez{at}juntadeandalucia.es).
Received for publication 29 August 2008.
Ancillary information, such as apparent electrical conductivity (ECa), can improve the spatial and temporal estimation of soil properties. The purpose of this study was to determine if ECa could be used for the spatial characterization of soil organic C (SOC) within a long-term tillage experiment. Apparent electrical conductivity was measured using an electromagnetic induction sensor, the EM38DD, and its predictive potential for mapping SOC was evaluated. The ECa maps showed clear differences between the conventional tillage and direct drilling plots, with higher ECa and SOC in the direct drilling plots. A normalized ECa difference (
ECa), calculated as the difference between the normalized vertical and horizontal dipole ECa values (ECaV and ECaH, respectively) successfully classified the SOC observations according to their corresponding management systems. Maps of
ECa (FKM1) and ECaV and ECaH (FKM2) classified by fuzzy k-means accounted for 30% of the total SOC variability, whereas the individual plots and management strategy explained 44 and 41%, respectively. Simple kriging with local varying means using either FKM2 or plot-average SOC as secondary information reduced the RMSE by 8% and increased the efficiency index by about 70% compared with ordinary kriging. Despite the low point-to-point correlation between ECa and SOC, ECa was shown to be useful for the spatial estimation of SOC.
Abbreviations: CT, conventional tillage DD, direct drilling ECa, apparent electrical conductivity ECaV, vertically sensed apparent electrical conductivity ECaH, horizontally sensed apparent electrical conductivity EMI, electromagnetic induction FKM, fuzzy k-means FKM1, fuzzy k-means classification for normalized apparent electrical conductivity difference data FKM2, fuzzy k-means classification for vertically and horizontally sensed apparent electrical conductivity data OK, ordinary kriging SKlm, simple kriging with varying local means SOC, soil organic carbon
ECa, normalized apparent electrical conductivity difference
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