Monthly CO2 at A4HDYD station in a productive shallow marginal sea (Yellow Sea) with a seasonal thermocline: Controlling processes

Xu, Xuemei; Zang, Kunpeng; Zhao, Huade; Zheng, Nan; Wu, Juying

doi:10.1016/j.jmarsys.2016.03.009

Cited by 20 publications

(14 citation statements)

References 51 publications

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“…The dominating influence of biological activity on pCO 2sea variability was reported in part of the BoB, such as in the eastern Sri Lankan region during May–August (Chakraborty et al., 2018), the western coast during March–August (Sarma et al., 2012, 2018) and the cyclonic eddies (Sarma et al., 2019). The largest negative contribution of biological effect on pCO 2sea variability in some months coincided with previous findings in coastal waters (Xu et al., 2016; Xue et al., 2016).…”

Section: Discussionsupporting

confidence: 90%

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Variability in Sea Surface pCO₂ and Controlling Factors in the Bay of Bengal Based on buoy Observations at 15°N, 90°E

Tang

Morozov

2022

JGR Oceans

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Approximately 55% of anthropogenic carbon dioxide (CO 2 ) emissions were absorbed in the oceans (2.8 ± 0.4 GtC year −1 ) over the last decade (2011-2020) (Friedlingstein et al., 2022). The ability of the ocean to absorb CO 2 can be estimated by calculating the air-sea CO 2 flux (F CO2 ) at the sea surface (Takahashi et al., 1993). However, large differences between observations and models, as well as between models in annual F CO2 estimation, have been reported by previous studies in the Bay of Bengal (BoB) (Valsala & Maksyutov, 2010;Valsala et al., 2021;Sarma et al., 2013). These differences are mainly due to inadequate field measurements and poor understanding of the CO 2 partial pressure (pCO 2 ) at the sea surface (pCO 2sea ) and its controlling mechanism. Potential locations for collecting pCO 2sea measurements were identified by utilizing inverse modeling techniques (Valsala et al., 2021). It is crucial to continue and increase long-term high-resolution monitoring efforts to better understand the pCO 2sea controlling mechanism.

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Section: Discussionsupporting

confidence: 90%

“…Mixing was the main contribution to the monthly pCO 2sea changes in May and from July-August. The controlling effect of mixing on the pCO 2sea variation was also found in the BoB (Joshi & Warrior, 2022), the Yellow Sea (Xu et al, 2016) and the USA coastal waters (Xue et al, 2016) in some months.…”

Section: Quantification Of Seasonal Pco 2sea Variabilitymentioning

confidence: 81%

Variability in Sea Surface pCO₂ and Controlling Factors in the Bay of Bengal Based on buoy Observations at 15°N, 90°E

Tang

Morozov

2022

JGR Oceans

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“…The similar phenomenon was reported in the continental shelf off Georgia (USA) and the northern Yellow Sea (Jiang et al, 2010;Xu et al, 2016).…”

Section: Aerobic Respiration Caused the Bay To Act As A Co2 Source In Early Wintersupporting

confidence: 82%

“…However, affected by the coupled influence of low temperature, vertical mixing, runoff variation, nutrient supply and light intensity in winter, vigorous growth of phytoplankton often occurs in many mid-latitude coastal waters, such as the waters near Blanca (Argentina) in South America (Popovich et al, 2008), the Narragansett Bay and the Sargasso Sea in North America (Oviatt et al, 2002;Tin et al, 2016), the waters near the Loire estuary and the Adriatic Sea in Europe (Guillaud et al, 2008;Ljubimir et al, 2017), and the nearshore areas of the Bohai Sea and the Hokkaido in North-east Asia (Sakamoto et al, 2008;Zhao et al, 2004). In addition, a certain degree of aerobic respiration occurs in some areas, for example, the central area of the Baltic Sea and the North Yellow Sea (Wesslander et al, 2010;Xu et al, 2016). Therefore, in addition to the effects of temperature variation, the influence of non-temperature biogeochemical processes on the CO2 source/sink change should not be neglected in mid-latitude coastal waters in winter.…”

Section: Introductionmentioning

confidence: 99%

“…Consequently, the phytoplankton bloom consisting mainly of diatoms caused the seawater surface pCO2 to be lower than the atmosphere by 42 μatm. Regarding the phenomenon of an increase in pCO2 caused by aerobic respiration, Xu et al (2016) found that vertical mixing carried the subsurface organic matter to the surface layer and aerobic respiration made the northern Yellow Sea act as a CO2 source in December (the average pCO2 was 464 μatm). In spite of some field observation in different areas, more cruise surveys and analyses are still needed to more comprehensively reveal the detailed spatiotemporal pattern of pCO2 and its control mechanisms throughout the winter months.…”

Section: Introductionmentioning

confidence: 99%

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The spatiotemporal variation and control mechanism of surface pCO2 in winter in Jiaozhou Bay, China

Yang

Zhang

et al. 2020

Continental Shelf Research

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In many mid-latitude coastal waters during winter months, in addition to temperature, the large change in biogeochemical processes often influence and complicate the surface partial pressure of CO2 (pCO2). Based on the hydrological and carbonate parameters in seven cruises, this study analysed the evolution process and explored the control mechanism of the surface pCO2 in Jiaozhou Bay, China, from December to March. The results showed that the pCO2 ranged from 157 μatm to 647 μatm, and the bay represented a sink for atmospheric CO2 (-3.8 mmol m -2 d -1 ) in the whole winter. The non-temperature processes were the dominant factors affecting intra-winter pCO2 variation. In December, the bay was dominated by aerobic respiration and acted as a CO2 source (3.0 mmol m -2 d -1 ). From early January to late February, however, the vigorous growth of cold algae caused strong primary production, and the bay presented as a CO2 sink (from -6.4 mmol m -2 d -1 in early January to -15.5 mmol m -2 d -1 in late February). In March, primary production weakened and the effects of the CaCO3 precipitation appeared, and the strength of the CO2 sink was obviously weakened (-1.1 mmol m -2 d -1 ). Meanwhile, the water temperature decreased gradually from December to late January and then increased until March, and it further expanded the variation range of pCO2. Our results highlight the obvious source/sink change in mid-latitude seawater CO2 in winter, while more field observations are still needed to further understand the complicated biogeochemical processes and its influence on seawater pCO2.

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A synthesis of ecosystem metabolism of China's major rivers and coastal zones (2000–2020)

2022

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Ecosystem metabolism is a vital measurement for understanding the dynamics of aquatic environments. China has a range of aquatic resources and in the past two decades, there has been an increasing interest in ecosystem metabolism research. However, no studies have evaluated overall variation and environmental patterns which affect metabolism in China's vast range of aquatic systems. For this paper, we searched for articles with metabolism data for China's major rivers and coastal zones from 2000 to 2020. We identified 127 studies documenting ecosystem metabolism functions including primary production (PP), community respiration (CR) and net ecosystem production (NEP). Using path analysis, we documented relationships across a range of environmental parameters. Light availability affected riverine and coastal PP (<0.1-10.7 gC m À2 day À1 ), while riverine PP was also linked to precipitation, photosynthesis-related biomass, and land-use variables.Riverine and coastal CR ranged from 0.01 to 24.3 gC m À2 day À1 and was affected strongly by nutrient concentrations. Average NEP ranged from 2.9 to 9.2 gC m À2 day À1 , suggesting the potential of some of the evaluated ecosystems to be CO 2 sinks. Within this review, the large spatiotemporal range allows for a wideranging understanding of the variation of metabolic processes which contribute to CO 2 dynamics and the role of aquatic ecosystems in regional climate change. Additionally, by evaluating aquatic ecosystem metabolism across such a diverse range of environmental conditions this work provides a scientific basis for future assessments of ecological risks under the complex conditions of climate change.

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Monthly CO2 at A4HDYD station in a productive shallow marginal sea (Yellow Sea) with a seasonal thermocline: Controlling processes

Cited by 20 publications

References 51 publications

Variability in Sea Surface pCO₂ and Controlling Factors in the Bay of Bengal Based on buoy Observations at 15°N, 90°E

Variability in Sea Surface pCO₂ and Controlling Factors in the Bay of Bengal Based on buoy Observations at 15°N, 90°E

The spatiotemporal variation and control mechanism of surface pCO2 in winter in Jiaozhou Bay, China

A synthesis of ecosystem metabolism of China's major rivers and coastal zones (2000–2020)

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Monthly CO2 at A4HDYD station in a productive shallow marginal sea (Yellow Sea) with a seasonal thermocline: Controlling processes

Cited by 20 publications

References 51 publications

Variability in Sea Surface pCO2 and Controlling Factors in the Bay of Bengal Based on buoy Observations at 15°N, 90°E

Variability in Sea Surface pCO2 and Controlling Factors in the Bay of Bengal Based on buoy Observations at 15°N, 90°E

The spatiotemporal variation and control mechanism of surface pCO2 in winter in Jiaozhou Bay, China

A synthesis of ecosystem metabolism of China's major rivers and coastal zones (2000–2020)

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Variability in Sea Surface pCO₂ and Controlling Factors in the Bay of Bengal Based on buoy Observations at 15°N, 90°E

Variability in Sea Surface pCO₂ and Controlling Factors in the Bay of Bengal Based on buoy Observations at 15°N, 90°E