Allan, Bridie J M; Miller, Garielle M; McCormick, Mark I; Domenici, Paolo; Munday, Philip L (2014): Parental effects improve escape performance of juvenile reef fish in a high-CO2 world [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.835712, Supplement to: Allan, BJM et al. (2014): Parental effects improve escape performance of juvenile reef fish in a high-CO2 world. Proceedings of the Royal Society B-Biological Sciences, 281(1777), 20132179-20132179, https://doi.org/10.1098/rspb.2013.2179
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Abstract:
Rising CO2 levels in the oceans are predicted to have serious consequences for many marine taxa. Recent studies suggest that non-genetic parental effects may reduce the impact of high CO2 on the growth, survival and routine metabolic rate of marine fishes, but whether the parental environment mitigates behavioural and sensory impairment associated with high CO2 remains unknown. Here, we tested the acute effects of elevated CO2 on the escape responses of juvenile fish and whether such effects were altered by exposure of parents to increased CO2 (transgenerational acclimation). Elevated CO2 negatively affected the reactivity and locomotor performance of juvenile fish, but parental exposure to high CO2 reduced the effects in some traits, indicating the potential for acclimation of behavioural impairment across generations. However, acclimation was not complete in some traits, and absent in others, suggesting that transgenerational acclimation does not completely compensate the effects of high CO2 on escape responses.
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Further details:
Lavigne, Héloïse; Epitalon, Jean-Marie; Gattuso, Jean-Pierre (2014): seacarb: seawater carbonate chemistry with R. R package version 3.0 [webpage]. https://cran.r-project.org/package=seacarb
Project(s):
Coverage:
Latitude: -18.616670 * Longitude: 146.500000
Date/Time Start: 2011-11-01T00:00:00 * Date/Time End: 2012-05-31T00:00:00
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Comment:
In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Lavigne et al, 2014) was used to compute a complete and consistent set of carbonate system variables, as described by Nisumaa et al. (2010). In this dataset the original values were archived in addition with the recalculated parameters (see related PI). The date of carbonate chemistry calculation is 2014-09-11.
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License:
Creative Commons Attribution 3.0 Unported (CC-BY-3.0)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
153 data points