1992
DOI: 10.1051/forest:19920504
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The use of near-infrared reflectance spectroscopy in litter decomposition studies

Abstract: Summary — The biochemical nature of leaf litter is a key factor in regulation of its decomposition. Conventional wet chemical analysis of samples is destructive, time-consuming and expensive. The objective of this study was to evaluate the potentiality of near infrared reflectance spectroscopy (NIRS) for determining litter chemistry during the decomposition process using a wide range of species and decomposition stages. The litter of 8 species of evergreen and deciduous broad-leaved trees, conifers and s… Show more

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Cited by 121 publications
(65 citation statements)
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“…PLS diers from stepwise wavelength searches in that it uses all the information in the spectrum to determine any component concentration, a fundamental advantage over single wavelength applications (Shenk and Westerhaus 1991b). As emphasized by Jore et al (1992) and Bolster et al (1996), the full-spectrum calibration method (PLS regression) performed better than stepwise regression on dry ground foliage or litter samples. The ®nal calibration equations allowed the percentage content of biochemical constituents of the leaves to be determined from the spectra, using partial least squares regression, with a standard error of prediction of 0.13% for nitrogen, 0.97% for cellulose, 1.33% for lignin and 1.52% for lipids.…”
Section: Biochemical Determinationsmentioning
confidence: 99%
“…PLS diers from stepwise wavelength searches in that it uses all the information in the spectrum to determine any component concentration, a fundamental advantage over single wavelength applications (Shenk and Westerhaus 1991b). As emphasized by Jore et al (1992) and Bolster et al (1996), the full-spectrum calibration method (PLS regression) performed better than stepwise regression on dry ground foliage or litter samples. The ®nal calibration equations allowed the percentage content of biochemical constituents of the leaves to be determined from the spectra, using partial least squares regression, with a standard error of prediction of 0.13% for nitrogen, 0.97% for cellulose, 1.33% for lignin and 1.52% for lipids.…”
Section: Biochemical Determinationsmentioning
confidence: 99%
“…hullámprofilt adnak, fontos biokémiai információkat nyújtva a funkciós csoportok (-CH, -OH, -NH kémiai kötések) karakteréről és szá-máról, illetve a mérés során egy precíz kémiai ujjlenyomat képezhető a szerves anyagokról (BEN-DOR et al, 1997). A NIRS széleskörűen alkalmazott eljárás a hulladék dekompozíciós folyamatainak -mint például a komposztálás -elemzésére (JOFFRE et al, 1992;GILLON et al, 1993;COUTEAUX et al, 1995), különösen a cellulóz bomlásának analízisére (HARTMANN & APPEL, 2006). BEN-DOR és munkatársai (1997) szoros korrelációt mutatott ki a OH és a C-H csoportok mennyisége (kombinálva higroszkópos vízzel, keményítővel, cellulózzal és ligninnel) és a komposztálás ideje között.…”
Section: K Omposztstab Ilitásunclassified
“…This is related to vibrational and rotational movements of important biochemical functional groups such as -CH, -OH, and -NH chemical bonds (Shenk et al, 2001). During the course of decomposition, the NIR spectrum is modified in a regular way (Joffre et al, 1992;Gillon et al, 1999) and the rate of decomposition can be predicted from the NIR spectrum (Bruun et al, 2005b;Thomsen et al, 2009). However, no monotonous relationship is likely to exist between the frequency at which light is absorbed and resistance to biodegradation.…”
Section: Near-infrared Spectroscopy (Nir)mentioning
confidence: 99%