GEOSCAN, résultats de la recherche


TitreMultivariate analysis of the geochemistry and mineralogy of soils along two continental-scale transects in North America
AuteurDrew, L J; Grunsky, E C; Sutphin, D M; Woodruff, L G
SourceScience of the Total Environment vol. 409, 2010 p. 218-227,
Séries alt.Secteur des sciences de la Terre, Contribution externe 20100142
Documentpublication en série
Mediapapier; en ligne; numérique
SNRC62G; 62H; 62I; 62J; 62O; 62P; 63A; 63B; 63G; 63H; 63I; 63J; 63O; 63P; 64A; 64B; 64G; 64H; 64I; 64J; 64O; 64P
Lat/Long OENS-125.0000 -75.0000 40.0000 38.0000
Lat/Long OENS-110.0000 -95.0000 60.0000 30.0000
Sujetsgéochimie du sol; analyses géochimiques; études pédologiques; types pédologiques; échantillons de sol; types pédologiques; propriétés du sol; levés pédologiques; géochimie; minéralogie; pédologie
Illustrationslocation maps; graphs; plots
ProgrammeGestionnaire de programme, Géosciences environnementales
Résumé(disponible en anglais seulement)
Soils collected in 2004 along two North American continental-scale transects were subjected to geochemical and mineralogical analyses. In previous interpretations of these analyses, data were expressed in weight percent and parts per million, and thus were subject to the effect of the constant-sum phenomenon. In a new approach to the data, this effect was removed by using centered log-ratio transformations to 'open' the mineralogical and geochemical arrays. Multivariate analyses, including principal component and linear discriminant analyses, of the centered log-ratio data reveal the effects of soil-forming processes, including soil parent material, weathering, and soil age, at the continental-scale of the data arrays that were not readily apparent in the more conventionally presented data. Linear discriminant analysis of the data arrays indicates that the majority of the soil samples collected along the transects can be more successfully classified with Level 1 ecological regional-scale classification by the soil geochemistry than soil mineralogy. A primary objective of this study is to discover and describe, in a parsimonious way, geochemical processes that are both independent and inter-dependent and manifested through compositional data including estimates of the elements and corresponding mineralogy.