Search Help
Antarctic diatom silicification diminishes under ocean acidification
Entry ID: AAS_4026_Silicification_CO2

Abstract: This data set was collected during an ocean acidification mesocosm experiment performed at Davis Station, Antarctica during the 2014/15 summer season. It includes:
- description of methods for all data collection and analyses.
- diatom cell volume
- bulk silicification
- species specific silicification via fluorescence microscopy
- bulk community Fv/Fm on day 12
- single-cell PAM fluorometry data ... View entire text

Purpose: Based on the results of a previous study, a natural community of Antarctic marine microbes from Prydz Bay, East Antarctica were exposed to a range of CO2 concentrations in 650 L mesocosms to simulate possible future ocean conditions up to the year ?2200. Diatom silica precipitation rates were examined at CO2 concentrations between 343 to 1641 micro atm, measuring both the total diatom community response and that of individual species, to determine whether ocean acidification may influence future diatom ballast and therefore alter carbon and silica fluxes in the Southern Ocean.
Related URL
Description: Citation reference for this metadata record and dataset.
View entire list
Geographic Coverage
Spatial coordinates   
  N: -67.39   S: -69.8   E: 82.7   W: 73.75

Data Set Citation
Dataset Originator/Creator: Petrou, K.
Dataset Title: Antarctic diatom silicification diminishes under ocean acidification
Dataset Series Name: CAASM Metadata
Dataset Release Date: 2019-04-30
Dataset Publisher: Australian Antarctic Data Centre
Version: 1
Online Resource:
Parent DIF
This description is a member of a collection. The collection is described in

Temporal Coverage
Start Date: 2014-11-19
Stop Date: 2015-01-14

Start Date: 2017-06-01
Stop Date: 2018-06-30
Quality No problems were encountered with data collection. The six level fCO2 gradient approach meant that our data could be analysed using a regression model, allowing us to identify functional relationships between our fCO2 treatment and our response variables. Gradient designs are more effective at uncovering underlying responses patterns to environmental drivers, improving interpolation potential and generally deliver more useful quantitative information for models.
Access Constraints These data are not yet publicly available.
Use Constraints This data set conforms to the PICCCBY Attribution License (

Please follow instructions listed in the citation reference provided at when using these data.
Data Set Progress
Data Center
Australian Antarctic Data Centre, Australia Supplemental Info
Data Center URL:

Data Center Personnel
Phone: +61 3 6232 3244
Fax: +61 3 6232 3351
Email: metadata at
Contact Address:
Australian Antarctic Division
203 Channel Highway
City: Kingston
Province or State: Tasmania
Postal Code: 7050
Country: Australia
Distribution Media: HTTP
Distribution Size: 152 kb
Distribution Format: Excel
Fees: Free
Email: katherina.petrou at
Contact Address:
15 Broadway
City: Ultimo
Province or State: New South Wales (NSW)
Postal Code: 2007
Country: Australia
Extended Metadata Properties
(Click to view more)

Creation and Review Dates
DIF Creation Date: 2019-01-15
Last DIF Revision Date: 2019-01-16