Investigating soil properties influencing the depth and degree of lessivage in Florida soils using a random forest modeling approach

• Published in: Geoderma Regional Vol. 40; p. e00916
• Main Authors: Colopietro, Daniel J., Pachon, Julio, Bacon, Allan
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.03.2025
• Subjects: acidity; algorithms; Argillic horizon; argillic horizons; clay; Clay translocation; coagulation; Eluvial zone; energy; Florida; forestry equipment; Illuvial zone; Lessivage; Machine learning; mineralogy; particle size; Random forest modeling; sand; surface area; U.S. Soil Taxonomy; Florida; Argillic horizon; MPE; WRB; Lessivage; RMSPE; NRCS; BS; SD; OC; UI; ANOVA; Random forest modeling; EA; PDP; Db; OM; CEC; OOB; RSF; Illuvial zone; RSG; ICE; RMSE; TEB; NCSS; VI; Clay translocation; Machine learning; Eluvial zone; LD; USDA

The translocation of clay sized particles is an extensive soil process that occurs in over half of the total surface area covered by soil globally. However, investigations into lessivage are usually limited in extent and scale, and results from experimental data do not reflect natural conditions sin...