Covariables of Soil-Forming Factors and Their Influence on pH Distribution and Spatial Variability
Pedro Yescas-Coronado,
Miguel Ángel Segura-Castruita,
Arturo Moisés Chávez-Rodríguez,
Juan Florencio Gómez-Leyva,
Aldo Rafael Martínez-Sifuentes,
Osvaldo Amador-Camacho,
Raúl González-Medina
Affiliations
Pedro Yescas-Coronado
División de Estudios de Posgrado e Investigación, Tecnológico Nacional de México/Instituto Tecnológico de Tlajomulco, Tlajomulco de Zúñiga 45640, Mexico
Miguel Ángel Segura-Castruita
División de Estudios de Posgrado e Investigación, Tecnológico Nacional de México/Instituto Tecnológico de Tlajomulco, Tlajomulco de Zúñiga 45640, Mexico
Arturo Moisés Chávez-Rodríguez
División de Estudios de Posgrado e Investigación, Tecnológico Nacional de México/Instituto Tecnológico de Tlajomulco, Tlajomulco de Zúñiga 45640, Mexico
Juan Florencio Gómez-Leyva
División de Estudios de Posgrado e Investigación, Tecnológico Nacional de México/Instituto Tecnológico de Tlajomulco, Tlajomulco de Zúñiga 45640, Mexico
Aldo Rafael Martínez-Sifuentes
Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias (INIFAP), Centro Nacional de Investigación Disciplinaria en Relación Agua, Suelo, Planta, Atmósfera (CENID-RASPA), Gómez Palacio 35069, Mexico
Osvaldo Amador-Camacho
División de Estudios de Posgrado e Investigación, Tecnológico Nacional de México/Instituto Tecnológico de Tlajomulco, Tlajomulco de Zúñiga 45640, Mexico
Raúl González-Medina
División de Estudios de Posgrado e Investigación, Tecnológico Nacional de México/Instituto Tecnológico de Tlajomulco, Tlajomulco de Zúñiga 45640, Mexico
The objectives of this study were to identify and rank the covariables of soil-forming factors that affect the distribution and spatial variability of pH in an agricultural area and to obtain a predictive map of soil pH. Samples of topsoil were obtained from different sites and taken to the laboratory, where they were prepared to determine the pH, organic matter, and percentages of particle size. In addition, the values of environmental covariables that affect pH were obtained. A database of the coordinates, laboratory results, and values of the covariables was constructed. Principal component analysis of the covariables was performed, and an analysis of the pH spatial structure was conducted and interpolated to obtain a predictive map of pH. Of the soil physical characteristics, the covariables clay and sand had a greater influence on the spatial behavior of pH with respect to the rest of the covariables of soil-forming factors, while human activity acted as a catalyst of the acidification process. Soil pH exhibited autocorrelation and moderate spatial dependence (66.7%) and was thus spatially predictable. The pH prediction map was accurate (RMSE = 0.158 and MEB = 0.020).