Author
Listed:
- 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
Programa de Maestría en Ciencias en Agrobiotecnología, Tlajomulco de Zúñiga 45640, Mexico)
Abstract
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).
Suggested Citation
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, 2022.
"Covariables of Soil-Forming Factors and Their Influence on pH Distribution and Spatial Variability,"
Agriculture, MDPI, vol. 12(12), pages 1-14, December.
Handle:
RePEc:gam:jagris:v:12:y:2022:i:12:p:2132-:d:1000822
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