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Estimating nitrate, dissolved organic carbon and DOC fractions in forest floor leachates using ultraviolet absorbance spectra and multivariate analysis
Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Chemistry, Department of Chemistry. Analytisk kemi.
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2005 (English)In: Geoderma, no 124, 157-168 p.Article in journal (Refereed) Published
Abstract [en]

Multivariate regressions on ultraviolet (UV) absorbance (210-300 nm) data were tested as a potential tool to estimate concentrations of total dissolved organic carbon (DOC), DOC in the XAD-8-adsorbable (hydrophobic) fraction (HoDOC), and dissolved nitrate (NO3-N) in forest floor leachates. Partial least square (PLS) regressions were established for 20 zero-tension lysimeter solutions sampled in plots of coniferous and deciduous forest stands from May 2002 to January 2003. These regressions were validated against data from 24 other zero-tension solutions sampled in the same stands. The root mean square error of prediction (RMSEP) was 2.0 mg/l for DOC and 1.6 mg/l for HoDOC. These errors were 39% (DOC) and 20% (HoDOC) smaller than the errors obtained with regressions using only absorbance at 280 nm. For NO3-N, RMSEP was 0.12 mg/l (estimation by single wavelength regression is not possible). DOC and HoDOC covaried strongly and could not be estimated independently based on absorbances; HoDOC varied only between 61% and 81% of the DOC. Partly for this reason, an attempt to estimate the HoDOC/DOC ratio based on specific absorbance spectra (absorbance units per mg/l of total DOC) was little successful. Partly, however, this problem resulted from the fact that both HoDOC amd HiDOC fractions had a considerable UV absorptivity, which was not consistent between samples.

Place, publisher, year, edition, pages
2005. no 124, 157-168 p.
Keyword [en]
Forest floor leachate, Dissolved organic carbon (DOC), XAD-8 fractionation, Nitrate, Ultraviolet absorbance spectroscopy, Partial least square (PLS) regression
URN: urn:nbn:se:uu:diva-73851OAI: oai:DiVA.org:uu-73851DiVA: diva2:101762
Available from: 2005-07-07 Created: 2005-07-07 Last updated: 2011-01-11

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