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Published online 27 October 2006
Published in Soil Sci Soc Am J 70:2028-2037 (2006)
DOI: 10.2136/sssaj2006.0005
© 2006 Soil Science Society of America
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Dissolved Organic Matter Characterization Using Multiway Spectral Decomposition of Fluorescence Landscapes

Tsutomu Ohnoa,* and Rasmus Brob

a Dep. of Plant, Soil, and Environmental Sciences, Univ. of Maine, 5722 Deering Hall, Orono, ME 04469-5722
b Royal Veterinary and Agricultural Univ., Rolighedsvej 30, DK-1958 Frederiksberg C, Denmark


Figure 1
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Fig. 1. Fluorescence emission spectra for dissolved organic matter that was extracted from wheat straw residue, poultry manure, and the Liebman E Rotation soil. Excitation wavelength was 254 nm (AU = arbitrary units).

 

Figure 2
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Fig. 2. Full scan excitation–emission matrix fluorescence spectrum for beef manure-amended soil from the Potato Ecosystem Study.

 

Figure 3
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Fig. 3. Core consistency diagnostic values for the non-negativity-constrained PARAFAC models having two to seven components for the plant biomass, animal manure, and soil DOM data set.

 

Figure 4
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Fig. 4. Excitation and emission spectral loadings of the non-negativity-constrained five- component PARAFAC model of the plant biomass, animal manure, and soil DOM data set.

 

Figure 5
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Fig. 5. Relative percentage distribution of the contents for the five components in the PARAFAC model for the DOM extracted from: (A) soils, (B) animal manures, (C) crop species, (D) wetland plants, and (E) tree leaves.

 

Figure 6
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Fig. 6. Principal component (PC) analysis of the concentration scores for the five components in the PARAFAC model of the plant biomass, animal manure, and soil DOM data set.

 

Figure 7
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Fig. 7. Excitation and emission spectral loadings of the non-negativity-constrained three-component PARAFAC model for the reference humic substances.

 





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