Temporal variability and driving factors of the carbonate system in the Aransas Ship Channel, TX, USA: a time series study

Abstract

Abstract. The coastal ocean is affected by an array of co-occurring biogeochemical and anthropogenic processes, resulting in substantial heterogeneity in water chemistry, including carbonate chemistry parameters such as pH and partial pressure of CO2 (pCO2). To better understand coastal and estuarine acidification and air-sea CO2 fluxes, it is important to study baseline variability and driving factors of carbonate chemistry. Using both discrete bottle sample collection (2014–2020) and hourly sensor measurements (2016–2017), we explored temporal variability, from diel to interannual scales, in the carbonate system (specifically pH and pCO2) at the Aransas Ship Channel located in the northwestern Gulf of Mexico. Using other co-located environmental sensors, we also explored the driving factors of that variability. Both sampling methods demonstrated significant seasonal variability at the location, with highest pH (lowest pCO2) in the winter and lowest pH (highest pCO2) in the summer. Significant diel variability was also evident from sensor data, but the time of day with elevated pCO2 and depressed pH was not consistent across the entire monitoring period, sometimes reversing from what would be expected from a biological signal. Though seasonal and diel fluctuations were smaller than many other areas previously studied, carbonate chemistry parameters were among the most important environmental parameters for distinguishing between time of day and between seasons. It is evident that temperature, biological activity, freshwater inflow, and tide level (despite the small tidal range) are all important controls on the system, with different controls dominating at different timescales. The results suggest that the controlling factors of the carbonate system may not be exerted equally on both pH and pCO2 on diel timescales, causing separation of their diel or tidal relationships during certain seasons. Despite known temporal variability on shorter timescales, discrete sampling was generally representative of the average carbonate system and average air-sea CO2 flux on a seasonal and annual basis when compared with sensor data.

Seasonal Controls of Seawater CO2 Systems in Subtropical Coral Reefs: A Case Study from the Eastern Coast of Shenzhen, China

“…As can be seen in Figure 5, unlike for the surface pH T and bottom Ω A , temperature showed a significant linear relationship with pH T , pCO 2 , and Ω A , with all data considered (n = 192), confirming the dominant role of seasonal changes in temperature on these CO 2 parameters (especially the pH T and pCO 2 ). Similar results have been found in other survey sites, such as the Patos Lagoon [61], Gulf of Mexico [62], Aransas Ship Channel [63], East China Sea [64], Northern South China Sea [65], and Pearl River Estuary [66]. Furthermore, based on the above linear relationship (i.e., temperature vs. CO 2 parameters), the seasonal variation in temperature, i.e., 17.9-34.5 • C, can be estimated to explain 11.6% (43.4%), 17.9% (44.4%), and 55.6% (3.3%) of the changes in pH T , pCO 2 , and Ω A of the surface (bottom) waters.…”

“…For different regions (DAB, DLB, and YMKSA), the response of the CO 2 systems to seasonal temperature changes was different (Figure 5), which may be caused by the enhancement or canceling out of physical processes and biological processes [63]. As shown in Figure 5, temperature was significantly correlated with pH T , pCO 2 , and surface Ω A (p < 0.001) in the DLB, and temperature changes can reveal 49.1-72.5% variations in those CO 2 parameters, suggesting the important control role of temperature.…”

Aragonite saturation states in estuaries along a climate gradient in the northwestern Gulf of Mexico

“…Water sampling and analytical methods were detailed in our previous studies (Yao and Hu, 2017;Mccutcheon et al, 2021). Briefly, water column salinity, temperature, and dissolved oxygen (DO) were measured using a calibrated multisonde.…”