Eutrophication-driven biogeochemical processes influencing dissolved organic matter dynamics in a tropical coastal bay: Insights from Lianzhou Bay, northwestern South China Sea

The global understanding of coastal carbon cycling is increasingly recognising the disproportionate importance of small estuary-coastal bay systems. This study analysed dissolved organic carbon (DOC) and nitrogen (DON), coloured and fluorescent dissolved organic matter (DOM, CDOM and FDOM), along with environmental parameters in Lianzhou Bay, northwestern South China Sea, during summer 2022. A two-endmember mixing model was applied to quantify the non-conservative (Δ) dissolved inorganic nitrogen (DIN), phosphorus (SRP), and DOM. DIN decreased linearly with salinity, suggesting conservative mixing, while SRP showed no salinity dependence and was elevated nearshore, suggesting anthropogenic inputs. Non-conservative additions of DOC (44 %), CDOM (31–44 %), and protein-like FDOM (FDOM P , 46 %) were accompanied by substantial DON removal (−83 %). ΔDOC and ΔCDOM were negatively correlated with chlorophyll-a, suggesting their origin from the early microbial transformation of phytoplankton-derived particles. Conversely, the positive correlation between ΔDON and chlorophyll-a, together with a negative ΔDON–ΔDIN correlation of differing magnitudes, suggests partial microbial utilisation of N-rich compounds, with nitrogen not fully retained as DIN. Regionally, CDOM accumulated in the middle bay with minimal ΔDOC, driven by microbial processing of biogenic particles; the southern bay showed zero ΔDOC but positive ΔFDOM P , suggesting coupled production and degradation; in the north, excess primary production led to DOC buildup and DON removal, with labile DOM actively utilized. Among Chinese bays, the relatively low FDOM P proportion in Lianzhou Bay, despite high DOM levels, reflects limited direct anthropogenic inputs and substantial microbial humification, highlighting the complex interplay of natural and human-driven processes shaping coastal DOM composition. • DIN showed conservative mixing, while SRP reflected strong anthropogenic influence. • FDOM H mixed conservatively, while DOC, CDOM, and FDOM P showed significant additions. • DON showed strong removal via microbial use, with N not fully retained as DIN. • Middle, southern, and northern bays exhibited contrasting DOM processing patterns. • Lianzhou Bay had the highest DOC but low FDOM P proportion among Chinese bays.

Authors

Publication Details

Journal
Journal of Sea Research
Published
2025-08-15
DOI
https://doi.org/10.1016/j.seares.2025.102616
Primary Topic
Marine and coastal ecosystems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Eutrophication-driven biogeochemical processes influencing dissolved organic matter dynamics in a tropical coastal bay: Insights from Lianzhou Bay, northwestern South China Sea

Chao Wang, Siyi Xu, Ye Xu, Xin Wang et al.
Journal of Sea Research
Marine and coastal ecosystems
article

Eutrophication-driven biogeochemical processes influencing dissolved organic matter dynamics in a tropical coastal bay: Insights from Lianzhou Bay, northwestern South China Sea

Chao Wang, Siyi Xu, Ye Xu, Xin Wang, Renming Jia, Qizhong Su
article en

Abstract

The global understanding of coastal carbon cycling is increasingly recognising the disproportionate importance of small estuary-coastal bay systems. This study analysed dissolved organic carbon (DOC) and nitrogen (DON), coloured and fluorescent dissolved organic matter (DOM, CDOM and FDOM), along with environmental parameters in Lianzhou Bay, northwestern South China Sea, during summer 2022. A two-endmember mixing model was applied to quantify the non-conservative (Δ) dissolved inorganic nitrogen (DIN), phosphorus (SRP), and DOM. DIN decreased linearly with salinity, suggesting conservative mixing, while SRP showed no salinity dependence and was elevated nearshore, suggesting anthropogenic inputs. Non-conservative additions of DOC (44 %), CDOM (31–44 %), and protein-like FDOM (FDOM P , 46 %) were accompanied by substantial DON removal (−83 %). ΔDOC and ΔCDOM were negatively correlated with chlorophyll-a, suggesting their origin from the early microbial transformation of phytoplankton-derived particles. Conversely, the positive correlation between ΔDON and chlorophyll-a, together with a negative ΔDON–ΔDIN correlation of differing magnitudes, suggests partial microbial utilisation of N-rich compounds, with nitrogen not fully retained as DIN. Regionally, CDOM accumulated in the middle bay with minimal ΔDOC, driven by microbial processing of biogenic particles; the southern bay showed zero ΔDOC but positive ΔFDOM P , suggesting coupled production and degradation; in the north, excess primary production led to DOC buildup and DON removal, with labile DOM actively utilized. Among Chinese bays, the relatively low FDOM P proportion in Lianzhou Bay, despite high DOM levels, reflects limited direct anthropogenic inputs and substantial microbial humification, highlighting the complex interplay of natural and human-driven processes shaping coastal DOM composition. • DIN showed conservative mixing, while SRP reflected strong anthropogenic influence. • FDOM H mixed conservatively, while DOC, CDOM, and FDOM P showed significant additions. • DON showed strong removal via microbial use, with N not fully retained as DIN. • Middle, southern, and northern bays exhibited contrasting DOM processing patterns. • Lianzhou Bay had the highest DOC but low FDOM P proportion among Chinese bays.

Journal of Sea ResearchVol. 207
Life below water
Openalex Percentile: Top 77%
Marine and coastal ecosystems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.