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Discriminating between organic matter in soil from grass and forest by near-infrared spectroscopy
- Source :
- European Journal of Soil Science, European Journal of Soil Science, Wiley, 2010, 61 (61), pp.207-216. ⟨10.1111/j.1365-2389.2009.01219.x⟩, European Journal of Soil Science, Wiley, 2010, pp.207-216. ⟨10.1111/j.1365-2389.2009.01219.x⟩
- Publisher :
- Wiley
-
Abstract
- Eur. J. Soil Sci. ISI Document Delivery No.: 569XC Times Cited: 7 Cited Reference Count: 34 Ertlen, D. Schwartz, D. Trautmann, M. Webster, R. Brunet, D. Parc Regional des Ballons des Vosges; Institut National des Sciences de l'Univers We thank the Parc Regional des Ballons des Vosges and the Institut National des Sciences de l'Univers for supporting our study and Dr R. Viscarra Rossel for his comments and suggestions. Wiley-blackwell publishing, inc Malden; The absorbance of near-infrared (NIR) radiation by plants depends on the overtones of vibration, bending and stretching of the chemical bonds within their organic components. The wide variety of these bonds gives rise to characteristic NIR spectra, or ‘fingerprints', of plant materials. Do these fingerprints remain in the soil when the plants decompose and allow discrimination between soils that have supported different types of vegetation? We have compared the NIR spectra of grassland soil with those of soil under forest in the Vosges mountains in France. Near-infrared reflectances, R, from 370 samples of soil were recorded as A = log10(1/R) at wavelengths between 1100 and 2500 nm and averaged over 10-nm intervals to give spectra each with 140 values. A canonical variate analysis (CVA) of the raw spectra discriminated well, but not perfectly, between grassland and forest soil, with Mahalanobis distance, D, of 4.87. Standardization along the spectra to remove effects of varied mineral composition achieved complete separation between the two sources with D = 9.81. Canonical variate analysis of first and second derivatives of the spectra distinguished the two groups even better, with D = 12.27 and D = 16.65, respectively. The results show much promise for inferring past vegetative cover from NIR spectra deriving from the organic matter in the soil. The next step will be to extend these studies to see how well we can distinguish other types of vegetation from such spectra.
- Subjects :
- 010504 meteorology & atmospheric sciences
grass
near-infrared spectroscopy
Soil Science
Soil science
01 natural sciences
Spectral line
Absorbance
forest
Organic matter
Spectroscopy
0105 earth and related environmental sciences
chemistry.chemical_classification
Soil organic matter
Near-infrared spectroscopy
04 agricultural and veterinary sciences
Vegetation
[SHS.GEO]Humanities and Social Sciences/Geography
15. Life on land
organic matter in soil
chemistry
13. Climate action
Soil water
040103 agronomy & agriculture
0401 agriculture, forestry, and fisheries
Environmental science
Discriminating
Subjects
Details
- ISSN :
- 13510754 and 13652389
- Database :
- OpenAIRE
- Journal :
- European Journal of Soil Science, European Journal of Soil Science, Wiley, 2010, 61 (61), pp.207-216. ⟨10.1111/j.1365-2389.2009.01219.x⟩, European Journal of Soil Science, Wiley, 2010, pp.207-216. ⟨10.1111/j.1365-2389.2009.01219.x⟩
- Accession number :
- edsair.doi.dedup.....99425b51c6ae81c84662a579e97282d7