Journal
FRONTIERS IN MARINE SCIENCE
Volume 3, Issue -, Pages -Publisher
FRONTIERS MEDIA SA
DOI: 10.3389/fmars.2016.00007
Keywords
chromophoric dissolved organic matter; lignin; lignin-derived phenols; chromophore; absorption coefficient; coastal ocean; degradation indicators; photodegradation
Funding
- ANR (Agence rationale de la recherche)
- INSU-CNRS (Institut national des sciences de l'univers)
- CNES
- ESA (European Space Agency) - Government of Canada [96]
- NASA (National Aeronautics and Space Administration)
- Nansen and Amundsen Basin Observational System (NABOS) project - US-NSF
- NOAA (National Oceanographic and Atmospheric Administration)
- ONR (Office of Naval Research)
- JAMSTEC (Japan Marine Science and Technology Center) - National Science Foundation
- University-National Oceanographic Laboratory System
- National Science Foundation
- NSF [0229302, 0425582, 0713991]
- Ministry of Education, Culture, Sports, Science and Technology (NEXT)
- Russian icebreaker Kapitan
- Directorate For Geosciences [1504137] Funding Source: National Science Foundation
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Dissolved lignin is a well-established biomarker of terrigenous dissolved organic matter (DOM) in the ocean, and a chromophoric component of DOM. Although evidence suggests there is a strong linkage between lignin concentrations and chromophoric dissolved organic matter (CDOM) absorption coefficients in coastal waters, the characteristics of this linkage and the existence of a relationship that is applicable across coastal oceans remain unclear. Here, 421 paired measurements of dissolved lignin concentrations (sum of nine lignin phenols) and CDOM absorption coefficients [a(g)(lambda)] were used to examine their relationship along the river-ocean continuum (0-37 salinity) and across contrasting coastal oceans (sub-tropical, temperate, high-latitude). Overall, lignin concentrations spanned four orders of magnitude and revealed a strong, non-linear relationship with a(g)(lambda). The characteristics of the relationship (shape, wavelength dependency, lignin-composition dependency) and evidence from degradation indicators were all consistent with lignin being an important driver of CDOM variability in coastal oceans, and suggested physical mixing and long-term photodegradation were important in shaping the relationship. These observations were used to develop two simple empirical models for estimating lignin concentrations from a(g)(lambda) with a +/- 20% error relative to measured values. The models are expected to be applicable in most coastal oceans influenced by terrigenous inputs.
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