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Updated: Sep 13, 2026

Single-throughput Complementary High-resolution Analytical Techniques for Characterizing Complex Natural Organic Matter Mixtures
Published on: January 7, 2019
Organic matter and greenhouse gas dynamics across contrasting hydrological states in intermittent rivers
Pan Huo1, Tianyi Han1, Jiayi Hou1
1College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi, 712100, China; Key Laboratory of Low-carbon Green Agriculture in Northwestern China, Ministry of Agriculture and Rural Affairs, Yangling, Shaanxi, 712100, China.
Abstract:
As intermittent rivers expand globally, understanding how contrasting hydrological conditions relate to organic matter (OM) characteristics and greenhouse gas (GHG) dynamics is important. We investigated CO₂ and N₂O dynamics across contrasting low-flow (LF) and high-flow (HF) campaigns in intermittent rivers. Pore-water GHG concentrations consistently exceeded those in overlying water, suggesting an important internal GHG pool. During the LF campaign, higher chlorophyll-a concentrations coincided with lower overlying-water CO₂ concentrations, whereas the HF campaign showed greater soil-OM contribution, higher DOC, a stronger humic-like/aromatic DOM signature, and higher dissolved CO₂. Multivariate RDA explained substantial joint CO₂-N₂O variation (adjusted R² = 0.720 in LF and 0.668 in HF); nutrients retained large unique fractions in both campaigns, while the OM-associated fraction was larger in HF. Metagenomic profiles linked pore-water CO₂ to multiple carbon-processing and respiratory functions. Pore-water N₂O was less clearly associated with broad microbial-community turnover but showed stronger relationships with substrate balance and denitrification-related functional composition. Higher N₂O coincided with lower WDOC/NO₃⁻-N; CLR-based analyses further showed significant associations between N₂O and denitrification-related gene profiles, with the relative representation of nosZ versus nirK/nirS decreasing as N₂O increased. These patterns were consistent with greater incomplete-denitrification potential under relatively low carbon availability. Across three thin boundary layer (TBL) model parameterizations, estimated CO₂ emissions were consistently higher in the HF campaign, whereas the direction of the N₂O flux contrast varied among models. These findings highlight distinct environmental and microbial associations of CO₂ and N₂O across contrasting hydrological states in intermittent rivers.
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