Keul, Nina; Langer, Gerald; de Nooijer, Lennart Jan; Bijma, Jelle (2013): Seawater carbonate chemistry and benthic foraminifera Ammonia sp. mass, size, and growth rate during experiments, 2013. PANGAEA, https://doi.org/10.1594/PANGAEA.821209, Supplement to: Keul, N et al. (2013): Effect of ocean acidification on the benthic foraminifera Ammonia sp. is caused by a decrease in carbonate ion concentration. Biogeosciences, 10(10), 6185-6198, https://doi.org/10.5194/bg-10-6185-2013
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About 30% of the anthropogenically released CO2 is taken up by the oceans; such uptake causes surface ocean pH to decrease and is commonly referred to as ocean acidification (OA). Foraminifera are one of the most abundant groups of marine calcifiers, estimated to precipitate ca. 50 % of biogenic calcium carbonate in the open oceans. We have compiled the state of the art literature on OA effects on foraminifera, because the majority of OA research on this group was published within the last three years. Disparate responses of this important group of marine calcifiers to OA were reported, highlighting the importance of a process-based understanding of OA effects on foraminifera. We cultured the benthic foraminifer Ammonia sp. under a range of carbonate chemistry manipulation treatments to identify the parameter of the carbonate system causing the observed effects. This parameter identification is the first step towards a process-based understanding. We argue that CO3 is the parameter affecting foraminiferal size-normalized weights (SNWs) and growth rates. Based on the presented data, we can confirm the strong potential of Ammonia sp. foraminiferal SNW as a CO3 proxy.
Latitude: 53.701400 * Longitude: 8.479000
Date/Time Start: 2011-01-01T00:00:00 * Date/Time End: 2011-05-01T00:00:00
Keul-2011-Ammonia * Latitude: 53.701400 * Longitude: 8.479000 * Date/Time Start: 2011-01-01T00:00:00 * Date/Time End: 2011-05-01T00:00:00 * Location: Wadden Sea * Method/Device: Biological sample (BIOS)
In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Lavigne and Gattuso, 2011) 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).
4897 data points