Dataset: Temporal CO2-sensitivity in Menidia menidia
Deployment: lab_Baumann_Gobler_FP

Temporal CO2-sensitivity in Menidia menidia.
Principal Investigator: 
Hannes Baumann (University of Connecticut, UConn)
Co-Principal Investigator: 
Dr Christopher Gobler (Stony Brook University - SoMAS, SUNY-SB SoMAS)
Contact: 
Hannes Baumann (University of Connecticut, UConn)
BCO-DMO Data Manager: 
Shannon Rauch (Woods Hole Oceanographic Institution, WHOI BCO-DMO)
Project: 
Current State: 
Final no updates expected
Version: 
24 Feb 2015
Version Date: 
2015-02-24
Data URL:
 https://www.bco-dmo.org/dataset-deployment/552007/data

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Description

The investigators used a novel experimental approach that combined bi-weekly sampling of a wild, spawning fish population (Atlantic silverside Menidia menidia) with standardized offspring CO2 exposure experiments and parallel pH monitoring of a coastal ecosystem. They assessed whether offspring produced at different times of the spawning season (April to July) would be similarly susceptible to elevated (1100 uatm, pH_NIST = 7.77) and high CO2 levels (2300 uatm, pH_NIST = 7.47). Early in the season (April), high CO2 levels significantly (p < 0.05) reduced fish survival by 54% (2012) and 33% (2013) and reduced 1 to 10 d post-hatch growth by 17% relative to ambient conditions. However, offspring from parents collected later in the season became increasingly CO2-tolerant until, by mid-May, offspring survival was equally high at all CO2 levels.

This dataset provides the source data to:
Murray, Christopher S; Malvezzi, Alex; Gobler, Christopher J; Baumann, Hannes. 2014. Offspring sensitivity to ocean acidification changes seasonally in a coastal marine fish. Marine Ecology Progress Series, 504, 1-11, doi:10.3354/meps10791

Note: This dataset has also been contributed to Pangaea and can be found at http://doi.pangaea.de/10.1594/PANGAEA.838990

More information about this dataset deployment