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Multiple biomarkers highlight the importance of water column processes in treatment wetland organic matter cycling
- Source :
- Water research. 168
- Publication Year :
- 2019
-
Abstract
- A suite of biomarkers, including amino acids, pigments, and lignin phenols coupled with high resolution mass spectrometry were used to evaluate differences in the sources and fate of organic matter (OM) in Everglades treatment wetlands as a model for OM cycling in shallow water wetlands. Five components of the system (water column particulate matter, vertical traps, flocculent material, periphyton, and surface soil) were assessed for OM transformations down-profile (i.e. water column to soil) and between treatment cells dominated by emergent aquatic vegetation (EAV) and submerged aquatic vegetation (SAV), with comparisons to reference sites within the remnant Everglades. We found that OM cycling is fundamentally different between EAV and SAV wetlands, and that SAV wetlands have some shared characteristics with similar habitats in the remnant Everglades. Other than locations densely populated by Typha spp., water column particulate organic C was predominantly derived from microbial/cryptomonad sources, rather than macroscopic sources (vascular plants and algal mats). Bacterial amino acid biomarkers were positively correlated with amino acid degradation indices and organic P (Po), respectively suggesting that microbial abundance is associated with less degraded OM, and that further investigation into relationships between microbial biomass and Po is warranted. Overall, this multi-biomarker approach can elucidate the relative degradation of OM pools, identify sources of OM, and highlight the importance of water column processes in shallow water wetlands.
- Subjects :
- Environmental Engineering
0208 environmental biotechnology
Wetland
02 engineering and technology
010501 environmental sciences
01 natural sciences
Water Purification
Soil
Water column
Aquatic plant
Organic matter
Periphyton
Waste Management and Disposal
0105 earth and related environmental sciences
Water Science and Technology
Civil and Structural Engineering
chemistry.chemical_classification
Typha
geography
Biomass (ecology)
geography.geographical_feature_category
biology
Ecological Modeling
food and beverages
Plants
biology.organism_classification
Pollution
020801 environmental engineering
chemistry
Algal mat
Environmental chemistry
Wetlands
Environmental science
Biomarkers
Subjects
Details
- ISSN :
- 18792448
- Volume :
- 168
- Database :
- OpenAIRE
- Journal :
- Water research
- Accession number :
- edsair.doi.dedup.....4e2b7eeb22738ab90545966378471146