Sensitivity of sea urchin fertilization to pH varies across a natural pH mosaic, supplement to: Kapsenberg, Lydia; Okamoto, Daniel K; Dutton, Jessica M; Hofmann, Gretchen E (2017): Sensitivity of sea urchin fertilization to pH varies across a natural pH mosaic. Ecology and Evolution

In the coastal ocean, temporal fluctuations in pH vary dramatically across biogeographic ranges. How such spatial differences in pH variability regimes might shape ocean acidification resistance in marine species remains unknown. We assessed the pH sensitivity of the sea urchin Strongylocentrotus pu...

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Bibliographic Details
Main Authors: Kapsenberg, Lydia, Okamoto, Daniel K, Dutton, Jessica M, Hofmann, Gretchen E
Format: Dataset
Language:English
Published: PANGAEA - Data Publisher for Earth & Environmental Science 2017
Subjects:
pH
Online Access:https://dx.doi.org/10.1594/pangaea.872634
https://doi.pangaea.de/10.1594/PANGAEA.872634
Description
Summary:In the coastal ocean, temporal fluctuations in pH vary dramatically across biogeographic ranges. How such spatial differences in pH variability regimes might shape ocean acidification resistance in marine species remains unknown. We assessed the pH sensitivity of the sea urchin Strongylocentrotus purpuratus in the context of ocean pH variability. Using unique male?female pairs, originating from three sites with similar mean pH but different variability and frequency of low pH (pHT <= 7.8) exposures, fertilization was tested across a range of pH (pHT 7.61?8.03) and sperm concentrations. High fertilization success was maintained at low pH via a slight right shift in the fertilization function across sperm concentration. This pH effect differed by site. Urchins from the site with the narrowest pH variability regime exhibited the greatest pH sensitivity. At this site, mechanistic fertilization dynamics models support a decrease in sperm?egg interaction rate with decreasing pH. The site differences in pH sensitivity build upon recent evidence of local pH adaptation in S. purpuratus and highlight the need to incorporate environmental variability in the study of global change biology. : In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2016) 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 2017-02-23.