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| Main Authors: | , , , , , , , , |
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| Format: | Artículo científico |
| Language: | en |
| Published: |
Marine environmental research
2026
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| Subjects: | |
| Online Access: | https://pubmed.ncbi.nlm.nih.gov/41411951/ |
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Table of Contents:
- Winter CO temporal variations in a northern temperate bay: role of biological processes. Wang, Hanyang Qiao, Hao Xin, Ming Hamzah, Faisal Li, Mingrui Li, Yunxiao Wei, Qinsheng Ran, Xiangbin Xue, Liang Carbon Dioxide Seasons Bays China Environmental Monitoring Seawater Chlorophyll Chlorophyll A Accurate estimates of coastal air-sea CO fluxes require explicitly accounting for the physical and biological controls on sea surface CO partial pressure (pCO. In many mid-latitude nearshore systems, active winter biological activities can strongly influence pCO temporal variations, but its role remains poorly constrained. Using two winter cruises in January and February 2024 in the Jiaozhou Bay (North China), we show that mean surface pCO rose by ∼50 μatm from January to February. This increase was mainly associated with reduced biological production, as indicated by declines in chlorophyll a and rises in apparent oxygen utilization. A one-dimensional diagnostic model partitioned the drivers of the pCO increase and attributed 43 % of the total absolute contributions to biology and 21 % to atmospheric CO uptake, while mixing and temperature lowered the total absolute contributions by ∼14 % and ∼18 %, respectively. The increased surface pCO in February reduced CO uptake, although a higher mean wind speed in February enhanced gas transfer velocity. Comparison with four earlier January-February surveys reveals substantial interannual differences mainly driven by winter varying biological activities, e.g., temperature-normalized pCO was 306 μatm on 16 January 2024 versus 398 μatm on 8 January 2012, with chlorophyll a of 1.76 and 0.64 μg L, respectively. This work demonstrates that rapid winter variations in biological activities can therefore markedly alter surface pCO and introduce major uncertainty in winter coastal CO flux estimates. Thus, future high-frequency winter sampling and coupled biogeochemical-hydrodynamic modeling will be vital to reduce uncertainty in regional carbon flux assessments.