Dataset: Aquaria water quality total alkalinity, DIC, and CO2 measurements from full factorial study of Acropora cervicornis at Mote Marine Laboratory in Nov-Dec 2019

This dataset has not been validatedPreliminary and in progressVersion 1 (2022-04-22)Dataset Type:Other Field ResultsDataset Type:experimental

Principal Investigator: Erinn M. Muller (Mote Marine Laboratory)

Scientist: Chelsea Petrik (Mote Marine Laboratory)

BCO-DMO Data Manager: Dana Stuart Gerlach (Woods Hole Oceanographic Institution)


Project: CAREER: Applying phenotypic variability to identify resilient Acropora cervicornis genotypes in the Florida Keys (Resilient Acerv)


Abstract

** 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:


Related Datasets

Continues

Dataset: Acer Aquaria water quality PAR
Relationship Description: Second of three datasets on aquaria water quality from full-factorial study of Acropora cervicornis
Muller, E. M., Petrik, C. (2022) Aquaria water quality PAR 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 http://lod.bco-dmo.org/id/dataset/873446
Continues

Dataset: Acer Aquaria water quality pH and DO
Relationship Description: First of three aquaria water quality datasets from full-factorial study of Acropora cervicornis
Muller, E. M., Petrik, C. (2022) Aquaria water quality pH and dissolved oxygen 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 http://lod.bco-dmo.org/id/dataset/873433
IsSupplementTo

Dataset: Acer 25 genotype full factorial study
Relationship Description: Full-factorial study to which the aquaria water quality data relates
Muller, E. M., Petrik, C. (2022) Temperature and pCO2 effects on survivability of 25 genotypes of Acropora cervicornis coral at Mote Marine Laboratory in Nov-Dec 2019. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2022-03-18 http://lod.bco-dmo.org/id/dataset/871765

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