Influence of soil conditions on dissolved organic matter leached from forest and wetland soils: a controlled growth chamber study

Eun Ah Kim, Hang Vo Minh Nguyen, Hae Sung Oh, Jin Hur, Jung Hyun Choi

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5 Scopus citations

Abstract

This study investigated the effects of various soil conditions, including drying-rewetting, nitrogen deposition, and temperature rise, on the quantities and the composition of dissolved organic matter leached from forest and wetland soils. A set of forest and wetland soils with and without the nitrogen deposition were incubated in the growth chambers under three different temperatures. The moisture contents were kept constant, except for two-week drying intervals. Comparisons between the original and the treated samples revealed that drying-rewetting was a crucial environmental factor driving changes in the amount of dissolved organic carbon (DOC). The DOC was also notably increased by the nitrogen deposition to the dry forest soil and was affected by the temperature of the dry wetland soil. A parallel factor (PARAFAC) analysis identified three sub-fractions of the fluorescent dissolved organic matter (FDOM) from the fluorescence excitation–emission matrices (EEMs), and their compositions depended on drying-rewetting. The data as a whole, including the DOC and PARAFAC components and other optical indices, were possibly explained by the two main variables, which were closely related with the PARAFAC components and DOC based on principal component analysis (PCA). Our results suggested that the DOC and PARAFAC component information could provide a comprehensive interpretation of the changes in the soil-leached DOM in response to the different environmental conditions.

Original languageEnglish
Pages (from-to)5203-5213
Number of pages11
JournalEnvironmental Science and Pollution Research
Volume23
Issue number6
DOIs
StatePublished - 1 Mar 2016

Keywords

  • Dissolved organic matter (DOM)
  • Drying-rewetting, PARAFAC
  • Fluorescence excitation–emission matrix (EEM)
  • Humification
  • Principle component analysis (PCA)

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