McMahon, Teagan; Thatcher, Diana; Williams, Branwen; Wanamaker, Alan D; Jellison, Brittany M; Franklin, Heidi; Guay, Katherine; Whitney, Nina M; Stewart, Joseph A; LaVigne, M (2025): Seawater carbonate chemistry and shell growth and coloration of important Northwest Atlantic bivalve species [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.976323
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Published: 2025-02-21 • DOI registered: 2025-03-26
Abstract:
To investigate the response of four commercially relevant bivalve species to OA and differing temperatures, juvenile Mercenaria mercenaria (hard shell clams), juvenile Mya arenaria (soft shell clams), adult and juvenile Arctica islandica (ocean quahog), and juvenile Placopecten magellanicus (Atlantic sea scallops) were grown in varying pH and temperature conditions. Species were exposed to four controlled pH conditions (7.4, 7.6, 7.8, and ambient/8.0) and three controlled temperature conditions (6, 9, and 12˚C) for 20.5 weeks and then shell growth and coloration were analyzed. This research marks the first direct comparison of these species' biological responses to both temperature and OA conditions within the same experiment.
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 provided by the author of the related paper (see Related to) to 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 2025-02-21.
Keyword(s):
Animalia; Arctica islandica; Benthic animals; Benthos; Coast and continental shelf; Growth/Morphology; Laboratory experiment; Mercenaria mercenaria; Mollusca; Mortality/Survival; Mya arenaria; North Atlantic; Other studied parameter or process; Placopecten magellanicus; Single species; Temperate; Temperature
Related to:
McMahon, Teagan; Thatcher, Diana; Williams, Branwen; Wanamaker, Alan D; Jellison, Brittany M; Franklin, Heidi; Guay, Katherine; Whitney, Nina M; Stewart, Joseph A; LaVigne, M (2024): Contrasting responses of commercially important Northwest Atlantic bivalve species to ocean acidification and temperature conditions. PLOS Climate, 3(11), e0000509, https://doi.org/10.1371/journal.pclm.0000509
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: 44.554100 * Longitude: -67.269700
Date/Time Start: 2021-09-01T00:00:00 * Date/Time End: 2021-09-30T00:00:00
Event(s):
Parameter(s):
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
37817 data points
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