Tomasetti, Stephen J; Doall, Michael H; Hallinan, Brendan D.; Kraemer, Jeffrey R; Gobler, Christopher J (2024): Seawater carbonate chemistry and characterization of oyster growth and calcification on constructed oyster reefs [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.967511
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Abstract:
This study, therefore, sought to (1) characterize the baseline pH/DO variability as well as the associated drivers of the carbonate system in constructed reefs to (2) determine the reefs' influence on the biogeochemistry of the overlying waters and (3) evaluate the impacts, if any, on resident oysters, particularly in environments already prone to coastal acidification. To do this, we conducted a 4-year study (2018–2021) of multiple constructed subtidal oyster reefs in Shinnecock Bay, NY USA. We monitored the growth of three oyster reefs over four consecutive years and established high frequency time series of pHNBS, DO, and other relevant environmental parameters in both regional ambient seawater and reef-modified seawater during the summer months (when coastal acidification is most prevalent and oyster growth is maximal) over two of the four years. During one year, these data were paired with weekly surveys characterizing habitat macroalgae abundance and with biweekly sampling of reef and control seawater for discrete measurements of DIC, TA, and chlorophyll a. Finally, two in situ oyster experiments were conducted during the summers of two separate years to evaluate the impact of reef-modified seawater conditions versus ambient seawater conditions on juvenile oyster growth and survival.
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 downloaded from Dryad (see Source) 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 2024-04-28.
Keyword(s):
Animalia; Benthic animals; Benthos; Biomass/Abundance/Elemental composition; Calcification/Dissolution; Coast and continental shelf; Crassostrea virginica; Entire community; Field experiment; Field observation; Growth/Morphology; Mollusca; North Atlantic; Rocky-shore community; Single species; Temperate
Related to:
Tomasetti, Stephen J; Doall, Michael H; Hallinan, Brendan D.; Kraemer, Jeffrey R; Gobler, Christopher J (2023): Oyster reefs' control of carbonate chemistry—Implications for oyster reef restoration in estuaries subject to coastal ocean acidification. Global Change Biology, 29(23), 6572-6590, https://doi.org/10.1111/gcb.16960
Source:
Tomasetti, Stephen J (2023): Monitoring data for oyster reefs and nearby controls, including high frequency environmental parameters, carbonate chemistry, oyster growth, and other data. Dryad, https://doi.org/10.5061/DRYAD.37PVMCVRQ
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
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):
Parameter(s):
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
15571 data points
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