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Wolverhampton Intellectual Repository and E-Theses > School of Applied Sciences > Research Centre in Applied Sciences  > Plant and Environmental Research Group > Factor Analysis of Particle Size Specific Mineral Magnetic Measurements on Agricultural Topsoils from the Isle of Man

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Title: Factor Analysis of Particle Size Specific Mineral Magnetic Measurements on Agricultural Topsoils from the Isle of Man
Authors: Booth, Colin A.
Fullen, Michael A.
Smith, John P.
Hallett, Michael D.
Walden, John
Harris, John
Holland, Kim
Citation: Communications in Soil Science and Plant Analysis, 37(1-2): 249-273
Publisher: Taylor & Francis
Issue Date: 2006
DOI: 10.1080/00103620500408811
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Abstract: Agricultural topsoils from the five soil categories of the Isle of Man (British Isles) have been fractionated at discrete particle size intervals and their mineral magnetic properties have been analyzed. The aim was to characterize Manx soils and, with the aid of simultaneous R- and Q-mode factor analysis, evaluate the use of mineral magnetic measurements as an appropriate means of discriminating soil categories. Results show Manx agricultural topsoils contain a range of magnetic concentrations (similar to sedimentary and acid igneous rocks), magnetic mineralogy (greater influence of magnetically soft than magnetically hard minerals) and magnetic domain size (mainly stable single domain and superparamagnetic grains) characteristics, with significant differences between the five identified soil categories for each of the fractionated size class intervals used. Despite the mineral magnetic approach showing considerable potential for classifying Manx soils on the basis of their magnetic properties, large variations exist within individual soil categories. However, compared with previous studies, particle size specific measurements provide a more appropriate means of discrimination than bulk magnetic measurements. Each specific fractionated particle size range accommodates similar abilities of discrimination, yet no single class size is better than any other. Nevertheless, the ability of factor analysis to detect multivariate patterns in mineral magnetic data shows it is a useful data analysis tool for interrogating soil data sets.
Type: Article
Language: en
Description: Metadata only
Keywords: Mineral magnetic
Multivariate Analysis
Soil discrimination
Soil characterisation
Isle of Man
Soil texture
ISSN: 00103624
1532-2416 (Online)
Appears in Collections: Plant and Environmental Research Group
Construction and Infrastructure

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