Daviray, Maxime; Lesut, Milla; Geslin, Emmanuelle; Metzger, Edouard; van Dijk, Inge; Courtial, Julia (2025): Seawater carbonate chemistry and shell dissolution of benthic foraminifera [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.984757
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Published: 2025-09-05 • DOI registered: 2025-10-07
Abstract:
Ammonia confertitesta and Haynesina germanica are two common estuarine benthic foraminifera subject to sediment acidification. Nevertheless, mechanisms involved in their response to acidification are still poorly understood. Since H. germanica is kleptoplastic and photosynthetically active, unlike A. confertitesta, these species were cultured in controlled experiments to determine whether these mechanisms could mitigate acidification-induced shell dissolution. Both living and dead specimens were incubated at two pH (8.0 and 6.8) and two light conditions (0 and 24 μmol photon m-2.s-1) for 18 days. For each species, respiration and photosynthesis rates were calculated based on oxygen measurements. At the end of incubation, foraminiferal viability was assessed with CellTracker Green™ biomarker, and each test was categorised according to a dissolution scale (DS) using SEM.
This dataset is included in the OA-ICC data compilation maintained in the framework of the IAEA Ocean Acidification International Coordination Centre (see https://oa-icc.ipsl.fr). Original data were extracted from tables in the related paper (see Related to) by the OA-ICC data curator. In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2024) 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 by seacarb is 2025-09-05.
Keyword(s):
Ammonia confertitesta; Benthos; Bottles or small containers/Aquaria (<20 L); Calcification/Dissolution; Chromista; Coast and continental shelf; Foraminifera; Haynesina germanica; Laboratory experiment; Light; Mortality/Survival; North Atlantic; Primary production/Photosynthesis; Respiration; Single species; Temperate; Zooplankton
Related to:
Daviray, Maxime; Lesut, Milla; Geslin, Emmanuelle; Metzger, Edouard; van Dijk, Inge; Courtial, Julia (2025): Species-specific mechanisms of benthic foraminifera in response to shell dissolution. Marine Micropaleontology, 200, 102490, https://doi.org/10.1016/j.marmicro.2025.102490
References:
Nisumaa, Anne-Marin; Pesant, Stephane; Bellerby, Richard G J; Delille, Bruno; Middelburg, Jack J; Orr, James C; Riebesell, Ulf; Tyrrell, Toby; Wolf-Gladrow, Dieter A; Gattuso, Jean-Pierre (2010): EPOCA/EUR-OCEANS data compilation on the biological and biogeochemical responses to ocean acidification. Earth System Science Data, 2(2), 167-175, https://doi.org/10.5194/essd-2-167-2010
Yang, Yan; Brockmann, Patrick; Galdino, Carolina; Schindler, Uwe; Gazeau, Frédéric (2024): An update of data compilation on the biological response to ocean acidification and overview of the OA-ICC data portal. Earth System Science Data, 16(8), 3771-3780, https://doi.org/10.5194/essd-16-3771-2024
Yang, Yan; Hansson, L; Gattuso, Jean-Pierre (2016): Data compilation on the biological response to ocean acidification: an update. Earth System Science Data, 8(1), 79-87, https://doi.org/10.5194/essd-8-79-2016
Related code / software:
Gattuso, Jean-Pierre; Epitalon, Jean-Marie; Lavigne, Héloïse; Orr, James; Gentili, Bernard; Hagens, Mathilde; Hofmann, Andreas; Mueller, Jens-Daniel; Proye, Aurélien; Rae, James; Soetaert, Karline (2024): seacarb: seawater carbonate chemistry with R. R package version 3.3.3. https://cran.r-project.org/web/packages/seacarb/index.html
Project(s):
Coverage:
Latitude: 47.013000 * Longitude: -2.019000
Date/Time Start: 2024-03-06T00:00:00 * Date/Time End: 2024-03-06T00:00:00
Event(s):
Parameter(s):
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
1438 data points
