High-resolution profiling observation of carbon source dynamics in a mussel farm in the Changjiang River estuary during early autumn

Dawei XU; Di WU; Shouye YANG; Yanping HU; Kui WANG

doi:10.1007/s00343-025-4275-1

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High-resolution profiling observation of carbon source dynamics in a mussel farm in the Changjiang River estuary during early autumn

Aquaculture and Fisheries | Updated：2025-12-16

- High-resolution profiling observation of carbon source dynamics in a mussel farm in the Changjiang River estuary during early autumn
- High-resolution profiling observation of carbon source dynamics in a mussel farm in the Changjiang River estuary during early autumn
- 海洋湖沼学报(英文) 2025年43卷第6期页码：1985-2001
- Affiliations：
  
  1.State Key Laboratory of Marine Geology, Tongji University, Shanghai 200092, China
  2.Ocean College, Zhejiang University, Zhoushan 316021, China
  3.Institute of Education and Science in Chemical Technologies and Engineering, National Technical University, Kharkiv 61002, Ukraine
- Author bio：
  
  woody@zju.edu.cn
  kwi@zju.edu.cn
- Funds：
  
  the National Natural Science Foundation of China(U23A2033;41976154);the Key R&D Program of Zhejiang Province, China(2023C03011);the Key R&D Program of Guangxi Province, China(Guike AB22080099);the Science Foundation of Donghai Laboratory(DH-2022KF0205);the Bureau of Science and Technology of Zhoushan(2022C81006)
- DOI：10.1007/s00343-025-4275-1
  中图分类号：
- 收稿：2024-10-17，
  
  网络首发：2024-12-30，
  
  纸质出版：2025-11-01
- Accepted：
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Dawei XU, Di WU, Shouye YANG, 等. High-resolution profiling observation of carbon source dynamics in a mussel farm in the Changjiang River estuary during early autumn[J]. 海洋湖沼学报(英文), 2025,43(6):1985-2001.

XU Dawei,WU Di,YANG Shouye,et al.High-resolution profiling observation of carbon source dynamics in a mussel farm in the Changjiang River estuary during early autumn[J].Journal of Oceanology and Limnology,2025,43(06):1985-2001.
Dawei XU, Di WU, Shouye YANG, 等. High-resolution profiling observation of carbon source dynamics in a mussel farm in the Changjiang River estuary during early autumn[J]. 海洋湖沼学报(英文), 2025,43(6):1985-2001. DOI： 10.1007/s00343-025-4275-1.

XU Dawei,WU Di,YANG Shouye,et al.High-resolution profiling observation of carbon source dynamics in a mussel farm in the Changjiang River estuary during early autumn[J].Journal of Oceanology and Limnology,2025,43(06):1985-2001. DOI： 10.1007/s00343-025-4275-1.

摘要

Abstract

Global warming underscores the urgent need to enhance carbon sinks to mitigate climate change

yet the role of coastal shellfish aquaculture area as either carbon sinks or sources remains unclear. In this study

we conducted high-resolution profiling observations of CO

dynamics and net community production (NCP) in a mussel farm located in the Changjiang (Yangtze) River estuary (CRE) during early autumn. Results indicate that the partial pressure of CO

(

) in the water column was consistently higher than the atmospheric level

averaging 74.75±2.44 Pa

signaling that the mussel farm acted as a CO

source. The average air-water CO

exchange flux (

https://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=95956859&type=

3.13266683

https://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=95956823&type=

5.24933338

) averaged 1.91±1.16 mmol/(m

·h)

and NCP in the water column (NCP

COL

) averaged 6.66±12.81 mmol/(m

·h)

revealing a heterotrophic condition. A significant inverse correlation was found between NCP

COL

and sea surface

with a lag time of approximately 3.31 h

highlighting the influence of biological activity in modulating CO

dynamics. Physical processes such as freshwater inputs

vertical mixing

and wind patterns

also played a crucial role in shaping

variations. The study emphasizes the complexity of CO

dynamics in costal aquaculture areas and the need for long-term

high-resolution monitoring to better understand their contribution to climate change mitigation. The high-resolution profiling system provided novel insights into the dynamics of NCP and CO

fluxes

showing its potential as an advanced tool for studying aquaculture systems. Future research should focus on expanding the geographic and temporal scope of studies

combining observational and modeling approaches to better predict the responses of aquaculture systems to environmental changes.

关键词

Keywords

references

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