Dataset: Pilot study with three unique genotypes of Acropora cervicornis coral to determine survival probability after exposure to temperature treatments at Mote Marine Laboratory in September and October 2019

This dataset has not been validatedPreliminary and in progressVersion 1 (2022-03-18)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 a dataset-specific abstract **

A pilot study was completed to determine the survival probability of 3 unique genotypes of Acropora cervicornis at three different temperature profiles (29, 32, or 33 degrees Celsius). Corals (n=72) were held at their respective temperature treatments until the corals experienced signs of bleaching activity or mortality.

After >2 weeks (on Day 16 or Day 22), half of the corals were transferred to new tanks with different treatment conditions while the others remained in the original tanks and maintained their initial conditions. 

Data was collected pertaining to the time (days) till mortality which would later be incorporated into a survival analysis (see dataset XXXXXX). Each fragment was assessed for its relative color index (ranging from D1 as pale color to D5 as full color)  at 0900 daily to document the rate of observable change in health.  The coral health chart/ color index card was provided by CoralWatch.

A full factorial experiment was completed subsequently--see Related Datasets section below for details.

 

 


Related Datasets

IsSupplementTo

Dataset: Acer 25 genotype full factorial study
Relationship Description: Full-factorial experiment after the pilot study.
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

Related Publications

Methods

Siebeck, U. E., Marshall, N. J., Klüter, A., & Hoegh-Guldberg, O. (2006). Monitoring coral bleaching using a colour reference card. Coral Reefs, 25(3), 453–460. doi:10.1007/s00338-006-0123-8
Software

R Core Team (2020). R: A language and environment for statistical computing. R v4.0.3. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/