New Insight into the Source Contribution of Dissolved and Particulate Organic Matter in a Typical Macrophyte-Dominated Lake Using Optical Spectroscopy, Stable Isotopes, and FT-ICR MS

The source identification of organic matter is essential for understanding its biogeochemical fate and provides valuable guidance for lake management. However, the quantitative contribution considering both natural or anthropogenic and allochthonous or autochthonous and their contribution in shaping molecular composition of organic matter have rarely been reported. Here, the molecular composition of organic matter both in dissolved (DOM) and particulate form (POM) was systematically studied by a combination of stable isotopes, optical and high-resolution mass spectrum, and the source contributions were quantitatively estimated through a novel end-member mixing analysis (EMMA) model in a typical macrophyte-dominated lake, Caohai, China. We found that DOM was more aromatic, unsaturated, and oxygenated with greater lignin and tannin compounds, while POM contained more lignin and aliphatic substances with lower aromaticity and humification. The distinct molecular composition could be attributed to the distinct relative contributions from diverse sources. The EMMA results revealed that the averaged relative contribution from autochthonous and natural allochthonous inputs was 68.7 and 80.5% for DOM and POM, respectively. This suggested that nonanthropogenic sources attribute much to water quality in macrophyte-dominated lakes and distinct lake management strategies are essential for natural lakes in the future.

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Publication Details

Journal
ACS ES&T Water
Published
2025-03-06
DOI
https://doi.org/10.1021/acsestwater.4c01216
Citations
7
Primary Topic
Marine and coastal ecosystems
Type
article
Field-Weighted Citation Impact
12.55

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article

New Insight into the Source Contribution of Dissolved and Particulate Organic Matter in a Typical Macrophyte-Dominated Lake Using Optical Spectroscopy, Stable Isotopes, and FT-ICR MS

Yue Qiu, Chengyu Suo, Fengchang Wu, Shasha Liu et al.
7 citations
ACS ES&T Water
Marine and coastal ecosystems
12.55
article

New Insight into the Source Contribution of Dissolved and Particulate Organic Matter in a Typical Macrophyte-Dominated Lake Using Optical Spectroscopy, Stable Isotopes, and FT-ICR MS

Yue Qiu, Chengyu Suo, Fengchang Wu, Shasha Liu, Yuxin Zhang, Yi Ren, Rui Fu
article en
7 citations

Abstract

The source identification of organic matter is essential for understanding its biogeochemical fate and provides valuable guidance for lake management. However, the quantitative contribution considering both natural or anthropogenic and allochthonous or autochthonous and their contribution in shaping molecular composition of organic matter have rarely been reported. Here, the molecular composition of organic matter both in dissolved (DOM) and particulate form (POM) was systematically studied by a combination of stable isotopes, optical and high-resolution mass spectrum, and the source contributions were quantitatively estimated through a novel end-member mixing analysis (EMMA) model in a typical macrophyte-dominated lake, Caohai, China. We found that DOM was more aromatic, unsaturated, and oxygenated with greater lignin and tannin compounds, while POM contained more lignin and aliphatic substances with lower aromaticity and humification. The distinct molecular composition could be attributed to the distinct relative contributions from diverse sources. The EMMA results revealed that the averaged relative contribution from autochthonous and natural allochthonous inputs was 68.7 and 80.5% for DOM and POM, respectively. This suggested that nonanthropogenic sources attribute much to water quality in macrophyte-dominated lakes and distinct lake management strategies are essential for natural lakes in the future.

ACS ES&T WaterVol. 5(4)
Chinese Research Academy of Environmental Sciences (CN), University of Science and Technology Beijing (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 1%
Marine and coastal ecosystems
12.55
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