RT Journal Article
T1 Applying multivariate methods to soil–solution interactions in carbonate media
A1 González Huecas, Concepción
A1 Quintana Nieto, José Ramón
A1 Moreno, Luis
A1 Vázquez, Antonio
A1 López Lafuente, Antonio Leovigildo
A1 Romero, Arturo
AB Soil solution composition depends on the solid phase properties of soils. Therefore it is necessary to determine how soil and solution interact in order to understand the processes that influence ecosystems, such as plant nutrition or the movement of contaminants in soils. As the product of many interrelated factors, these interactions are very complex.We studied the properties of leachates of 10 calcaric Fluvisols subject to displacement with de-ionized water, in columns at atmospheric pressure, and investigated their relationship with properties of the soil. To determine these interactions we used two complementary statistical techniques: bivariate correlations and a multivariate direct gradient canonical ordination method (Redundancy Analysis).The two statistical techniques used to relate the characteristics of the solution and the properties of the soil gave similar results. The two techniques allowed the conclusion that clay (%), organic carbon (g kg−1) and total nitrogen (g kg−1) were the properties of the soils that determine the composition of the soil solution. Also, the multivariate methods employed have been useful to synthesize information when a large number of variables are used.
PB Elsevier
SN 0016-7061
YR 2007
FD 2007
LK https://hdl.handle.net/20.500.14352/95030
UL https://hdl.handle.net/20.500.14352/95030
LA eng
NO González, C., et al. «Applying Multivariate Methods to Soil–Solution Interactions in Carbonate Media». Geoderma, vol. 137, n.o 3-4, enero de 2007, pp. 352-59. DOI.org (Crossref), https://doi.org/10.1016/j.geoderma.2006.08.016.
NO Ministerio de Ciencia y Tecnología (España)
NO Ministerio de Educación y Ciencia (España)
DS Docta Complutense
RD 3 abr 2025