Dynamics of transparent exopolymeric particles and their precursors during a mesocosm experiment: Impact of ocean acidification

2017 ◽  
Vol 186 ◽  
pp. 112-124 ◽  
Author(s):  
Guillaume Bourdin ◽  
Frédéric Gazeau ◽  
Marie-Emmanuelle Kerros ◽  
Sophie Marro ◽  
Maria Luiza Pedrotti
Viruses ◽  
2017 ◽  
Vol 9 (3) ◽  
pp. 41 ◽  
Author(s):  
Andrea Highfield ◽  
Ian Joint ◽  
Jack Gilbert ◽  
Katharine Crawfurd ◽  
Declan Schroeder

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Barbara D’Amario ◽  
Carlos Pérez ◽  
Michaël Grelaud ◽  
Paraskevi Pitta ◽  
Evangelia Krasakopoulou ◽  
...  

2020 ◽  
Vol 43 (6) ◽  
pp. 1377-1393
Author(s):  
L. Guerrero-Meseguer ◽  
T. E. Cox ◽  
C. Sanz-Lázaro ◽  
S. Schmid ◽  
L. A. Enzor ◽  
...  

2020 ◽  
Vol 17 (3) ◽  
pp. 757-770 ◽  
Author(s):  
M. Rosario Lorenzo ◽  
María Segovia ◽  
Jay T. Cullen ◽  
María T. Maldonado

Abstract. Rising concentrations of atmospheric carbon dioxide are causing ocean acidification and will influence marine processes and trace metal biogeochemistry. In June 2012, in the Raunefjord (Bergen, Norway), we performed a mesocosm experiment, comprised of a fully factorial design of ambient and elevated pCO2 and/or an addition of the siderophore desferrioxamine B (DFB). In addition, the macronutrient concentrations were manipulated to enhance a bloom of the coccolithophore Emiliania huxleyi. We report the changes in particulate trace metal concentrations during this experiment. Our results show that particulate Ti and Fe were dominated by lithogenic material, while particulate Cu, Co, Mn, Zn, Mo and Cd had a strong biogenic component. Furthermore, significant correlations were found between particulate concentrations of Cu, Co, Zn, Cd, Mn, Mo and P in seawater and phytoplankton biomass (µgC L−1), supporting a significant influence of the bloom in the distribution of these particulate elements. The concentrations of these biogenic metals in the E. huxleyi bloom were ranked as follows: Zn < Cu ≈ Mn < Mo < Co < Cd. Changes in CO2 affected total particulate concentrations and biogenic metal ratios (Me : P) for some metals, while the addition of DFB only significantly affected the concentrations of some particulate metals (mol L−1). Variations in CO2 had the most clear and significant effect on particulate Fe concentrations, decreasing its concentration under high CO2. Indeed, high CO2 and/or DFB promoted the dissolution of particulate Fe, and the presence of this siderophore helped in maintaining high dissolved Fe. This shift between particulate and dissolved Fe concentrations in the presence of DFB, promoted a massive bloom of E. huxleyi in the treatments with ambient CO2. Furthermore, high CO2 decreased the Me : P ratios of Co, Zn and Mn while increasing the Cu : P ratios. These findings support theoretical predictions that the molar ratios of metal to phosphorous (Me : P ratios) of metals whose seawater dissolved speciation is dominated by free ions (e.g., Co, Zn and Mn) will likely decrease or stay constant under ocean acidification. In contrast, high CO2 is predicted to shift the speciation of dissolved metals associated with carbonates such as Cu, increasing their bioavailability and resulting in higher Me : P ratios.


2017 ◽  
Vol 14 (7) ◽  
pp. 1857-1882 ◽  
Author(s):  
Shubham Krishna ◽  
Markus Schartau

Abstract. The effect of ocean acidification on growth and calcification of the marine algae Emiliania huxleyi was investigated in a series of mesocosm experiments where enclosed water volumes that comprised a natural plankton community were exposed to different carbon dioxide (CO2) concentrations. Calcification rates observed during those experiments were found to be highly variable, even among replicate mesocosms that were subject to similar CO2 perturbations. Here, data from an ocean acidification mesocosm experiment are reanalysed with an optimality-based dynamical plankton model. According to our model approach, cellular calcite formation is sensitive to variations in CO2 at the organism level. We investigate the temporal changes and variability in observations, with a focus on resolving observed differences in total alkalinity and particulate inorganic carbon (PIC). We explore how much of the variability in the data can be explained by variations of the initial conditions and by the level of CO2 perturbation. Nine mesocosms of one experiment were sorted into three groups of high, medium, and low calcification rates and analysed separately. The spread of the three optimised ensemble model solutions captures most of the observed variability. Our results show that small variations in initial abundance of coccolithophores and the prevailing physiological acclimation states generate differences in calcification that are larger than those induced by ocean acidification. Accordingly, large deviations between optimal mass flux estimates of carbon and of nitrogen are identified even between mesocosms that were subject to similar ocean acidification conditions. With our model-based data analysis we document how an ocean acidification response signal in calcification can be disentangled from the observed variability in PIC.


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