** Please write an abstract to include here ** Water quality total alkalinity and carbonate chemistry were monitored as part of a full factorial experiment to determine the survival probability and photochemical efficiency of 25 unique genotypes of Acropora cervicornis in November and December 2019 at Mote Marine Laboratory.
Water quality was monitored as part of a full factorial experiment to determine the survival probability and photochemical efficiency of 25 unique genotypes of Acropora cervicornis in November and December 2019. Coral fragments of A. cervicornis coral fragments were exposed to high temperatures and/or high pCO2 treatments in flow-through tanks at Mote Marine Laboratory.
During the exposure period, water quality for each tank was measured daily and color index of the coral fragments was assessed. Water samples were collected in acid-washed amber bottles (125 mL) for carbonate chemistry analysis bi-weekly and fixed with mercuric chloride (60 µL). Water samples were filtered (0.2 microns) prior to analysis on the dissolved inorganic carbon (DIC) machine (Apollo SciTech Analyzer).
Treatment tank water quality was monitored using a YSI Professional Plus (Pro Plus) Multi-parameter handheld with a quarto containing a Pro Series Galvanic Dissolved Oxygen Sensor, a Pro Series pH Sensor (calibrated using 4, 7, and 10 buffers), and a Pro Series temperature and conductivity sensor. Dissolved inorganic carbon (DIC) was analyzed using the Apollo SciTech DIC analyzer model AS-C151. Total Alkalinity (TA) was analyzed using the Metrohm 905 Titrando analyzer. Both DIC and TA were standardized each day with certified reference material (CRM) provided by A.G. Dickson. The coral health chart/ color index card was provided by CoralWatch.
Details on additional water quality measurements can be found in these datasets:
Muller, E. M., Petrik, C. (2022) Aquaria water quality total alkalinity, DIC, and CO2 measurements from full factorial study of Acropora cervicornis at Mote Marine Laboratory in Nov-Dec 2019. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2022-04-22 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/873459 [access date]
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