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Local Variability of CO2 Partial Pressure in a Mid-Latitude Mesotidal Estuarine System (Tagus Estuary, Portugal)

Authors :
Marcos Mateus
Graça Cabeçadas
Tereza Pilar-Fonseca
Ana Paula Oliveira
Source :
Geosciences, Volume 8, Issue 12, Geosciences, Vol 8, Iss 12, p 460 (2018)
Publication Year :
2018
Publisher :
MDPI AG, 2018.

Abstract

Estuaries play a crucial role in regional carbon cycling. Until now, accurate estimations of the impact of environmental variables on estuarine air&ndash<br />water CO2 fluxes have been mostly characterized by a low spatial-temporal sampling resolution. This study reports on the variations of CO2 partial pressure (pCO2) and related environmental parameters, at both tidal and seasonal temporal scales, in the surface seawater of a station located in the lower section of the Tagus estuary, Portugal. The study was carried out from February to December 2007. Air&ndash<br />water CO2 fluxes suggest that the lower estuary acted as a relatively weak source of CO2 to the atmosphere, with an average rate of 7.2 mol∙m&minus<br />2∙year&minus<br />1, with highest fluxes occurring in winter. Over a tidal cycle, pCO2 was mainly influenced by tidal-induced mixing. Results suggest an influence of upper and central estuary inputs with higher pCO2 values. pCO2 varied seasonally, with values decreasing from ~890 &micro<br />atm in winter to ~400 &micro<br />atm in summer and increasing again to ~990 &micro<br />atm in autumn. The generalized linear model (GLM) applied to the data set explained 69.3% of the pCO2 variability, pointing to the thermodynamic effect of temperature and biological activity as the most relevant processes in CO2 dynamics. Tidal variation of pCO2 corresponded to ~35% of its seasonal variability, denoting the importance of tide conditions on the dynamics of inorganic carbon. Results showed distinct patterns in the dynamics of CO2 at the tidal scale. This outcome suggests that disregarding tidal variability in the use of seasonal data sets may lead to significant errors in annual carbon budget estimations.

Details

ISSN :
20763263
Volume :
8
Database :
OpenAIRE
Journal :
Geosciences
Accession number :
edsair.doi.dedup.....1ce4c4695c1cc7c2a4a74f20a1083d1c
Full Text :
https://doi.org/10.3390/geosciences8120460