CO2-driven decrease in pH disrupts olfactory behaviour and increases individual variation in deep-sea hermit crabs, supplement to: Kim, Tae Won; Taylor, Josi; Lovera, Chris; Barry, J P (2015): CO2-driven decrease in pH disrupts olfactory behaviour and increases individual variation in deep-sea hermit crabs. ICES Journal of Marine Science

Deep-sea species are generally thought to be less tolerant of environmental variation than shallow-living species due to the relatively stable conditions in deep waters for most parameters (e.g. temperature, salinity, oxygen, and pH). To explore the potential for deep-sea hermit crabs (Pagurus tanne...

Full description

Bibliographic Details
Main Authors: Kim, Tae Won, Taylor, Josi, Lovera, Chris, Barry, J P
Format: Dataset
Language:English
Published: PANGAEA - Data Publisher for Earth & Environmental Science 2016
Subjects:
pH
Online Access:https://dx.doi.org/10.1594/pangaea.846485
https://doi.pangaea.de/10.1594/PANGAEA.846485
Description
Summary:Deep-sea species are generally thought to be less tolerant of environmental variation than shallow-living species due to the relatively stable conditions in deep waters for most parameters (e.g. temperature, salinity, oxygen, and pH). To explore the potential for deep-sea hermit crabs (Pagurus tanneri) to acclimate to future ocean acidification, we compared their olfactory and metabolic performance under ambient (pH 7.6) and expected future (pH 7.1) conditions. After exposure to reduced pH waters, metabolic rates of hermit crabs increased transiently and olfactory behaviour was impaired, including antennular flicking and prey detection. Crabs exposed to low pH treatments exhibited higher individual variation for both the speed of antennular flicking and speed of prey detection, than observed in the control pH treatment, suggesting that phenotypic diversity could promote adaptation to future ocean acidification. : In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2015) 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 2015-05-21.