JOURNAL ARTICLE

Determination of soil organic carbon and nitrogen at the field level using near-infrared spectroscopy

P. D. MartinD. F. MalleyG. ManningLourdes C. Fuller

Year: 2002 Journal:   Canadian Journal of Soil Science Vol: 82 (4)Pages: 413-422   Publisher: Canadian Science Publishing

Abstract

This study explored the use of near-infrared spectroscopy (NIRS) for the rapid analysis of organic C (C org ) and organic N (N org ) in the A horizon of soil within a single field. Soil was sampled throughout a field in Manitoba, Canada to capture soil variability associated with topography. The soil samples were oven-dried and treated with acid to remove carbonates, after which C and N were determined by dry combustion. In this study, portions of the dried soil samples not treated with acid were scanned with a near-infrared scanning spectrophotometer between 1100 and 2500 nm. Correlating the spectral and the chemical analytical data using multiple linear regression or principal component analysis/partial least squares regression gave useful correlations for C org . Over the range of 0–40 mg g -1 C org , NIR-predicted values explained 75–78% of the variance in the chemical results. Results were improved to 80% for calibrations developed for the 0–20 mg g -1 organic C range. Useful results were not obtained for N org although the literature shows that total N in soil is predictable using NIRS. It is likely that the acid treatment altered the composition of the samples in an inconsistent manner such that the chemically analyzed samples and those scanned by NIRS were different from each other in N org concentration or composition. Extrapolation of these C org results to the landscape scale implies that NIRS has potential to be a suitable method for mapping C for the purposes of monitoring C sequestration. Key words: Near-infrared spectroscopy, soil, carbon, nitrogen, topography, soil monitoring

Keywords:
Partial least squares regression Total organic carbon Chemistry Nitrogen Soil test Soil carbon Principal component analysis Chemical composition Linear regression Analytical Chemistry (journal) Soil science Environmental chemistry Soil water Environmental science Mathematics

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103
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2.41
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0
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0.88
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Citation History

Topics

Soil Geostatistics and Mapping
Physical Sciences →  Environmental Science →  Environmental Engineering
Geochemistry and Geologic Mapping
Physical Sciences →  Computer Science →  Artificial Intelligence
Spectroscopy and Chemometric Analyses
Physical Sciences →  Chemistry →  Analytical Chemistry
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