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Donham, E M; Strope, Lauren T; Hamilton, Scott L; Kroeker, Kristy J (2022): Seawater carbonate chemistry and growth, net calcification, respiration and grazing of of herbivorous kelp forest grazers [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.945323

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Abstract:
Understanding species' responses to upwelling may be especially important in light of ongoing environmental change. Upwelling frequency and intensity are expected to increase in the future, while ocean acidification and deoxygenation are expected to decrease the pH and dissolved oxygen of upwelled waters. However, the acute effects of a single upwelling event and the integrated effects of multiple upwelling events on marine organisms are poorly understood. Here, we use in situ measurements of pH, temperature, and dissolved oxygen to characterize the covariance of environmental conditions within upwelling-dominated kelp forest ecosystems. We then test the effects of acute (0-3 days) and chronic (1-3 month) upwelling on the performance of two species of kelp forest grazers, the echinoderm, Mesocentrotus franciscanus, and the gastropod, Promartynia pulligo. We exposed organisms to static conditions in a regression design to determine the shape of the relationship between upwelling and performance and provide insights into the potential effects in a variable environment. We found that respiration, grazing, growth, and net calcification decline linearly with increasing upwelling intensity for M. francicanus over both acute and chronic timescales. Promartynia pulligo exhibited decreased respiration, grazing, and net calcification with increased upwelling intensity after chronic exposure, but we did not detect an effect over acute timescales or on growth after chronic exposure. Given the highly correlated nature of pH, temperature, and dissolved oxygen in the California Current, our results suggest the relationship between upwelling intensity and growth in the 3-month trial could potentially be used to estimate growth integrated over long-term dynamic oceanographic conditions for M. franciscanus. Together, these results indicate current exposure to upwelling may reduce species performance and predicted future increases in upwelling frequency and intensity could affect ecosystem function by modifying the ecological roles of key species.
Keyword(s):
Animalia; Behaviour; Benthic animals; Benthos; Calcification/Dissolution; Coast and continental shelf; Containers and aquaria (20-1000 L or < 1 m**2); Echinodermata; Growth/Morphology; Laboratory experiment; Mesocentrotus franciscanus; Mollusca; North Pacific; Oxygen; Respiration; Single species; Tegula pulligo; Temperate; Temperature
Supplement to:
Donham, E M; Strope, Lauren T; Hamilton, Scott L; Kroeker, Kristy J (2022): Coupled changes in pH, temperature, and dissolved oxygen impact the physiology and ecology of herbivorous kelp forest grazers. Global Change Biology, 28(9), 3023-3039, https://doi.org/10.1111/gcb.16125
Original version:
Donham, E M; Strope, Lauren T; Hamilton, Scott L; Kroeker, Kristy J (2022): Coupled changes in pH, temperature and dissolved oxygen impact the physiology and ecology of herbivorous kelp forest grazers. Dryad, https://doi.org/10.5061/dryad.8sf7m0cq7
Further details:
Gattuso, Jean-Pierre; Epitalon, Jean-Marie; Lavigne, Héloïse; Orr, James (2021): seacarb: seawater carbonate chemistry with R. R package version 3.2.16. https://cran.r-project.org/web/packages/seacarb/index.html
Coverage:
Latitude: 36.949100 * Longitude: -122.065800
Date/Time Start: 2019-08-26T20:00:00 * Date/Time End: 2020-07-07T20:00:00
Comment:
In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2021) 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 2022-06-08.
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1TypeTypeDonham, E MStudy
2Species, unique identificationSpecies UIDDonham, E M
3Species, unique identification (URI)Species UID (URI)Donham, E M
4Species, unique identification (Semantic URI)Species UID (Semantic URI)Donham, E M
5Method commentMethod commDonham, E M
6LATITUDELatitudeDonham, E MGeocode
7LONGITUDELongitudeDonham, E MGeocode
8Sample elevationElevationmDonham, E M
9DATE/TIMEDate/TimeDonham, E MGeocode
10ExperimentExpDonham, E M1 = Experiment 1, Fall 2019; 2 = Experiment 2, Summer 2020
11IdentificationIDDonham, E MTimestep
12Sample IDSample IDDonham, E M
13TreatmentTreatDonham, E M
14IdentificationIDDonham, E MBin
15Time in daysTimedaysDonham, E M
16Principal component 1PC1ScoreDonham, E M
17Principal component 2PC2ScoreDonham, E M
18Buoyant massM buoyantmgDonham, E M
19Wet massWet mgDonham, E M
20Respiration rate, oxygenResp O2µmol/g/minDonham, E M
21Grazing rateGraze rateg/g/dayDonham, E M
22Temperature, waterTemp°CDonham, E M
23Temperature, water, standard deviationTemp std dev±Donham, E M
24SalinitySalDonham, E M
25Salinity, standard deviationSal std dev±Donham, E M
26Oxygen, dissolvedDOmg/lDonham, E M
27Oxygen, dissolved, standard deviationDO std dev±Donham, E M
28pHpHDonham, E MSpectrophotometrictotal scale
29pH, standard deviationpH std dev±Donham, E MSpectrophotometrictotal scale
30Alkalinity, totalATµmol/kgDonham, E MPotentiometric titration
31Alkalinity, total, standard deviationAT std dev±Donham, E MPotentiometric titration
32Partial pressure of carbon dioxide (water) at sea surface temperature (wet air)pCO2water_SST_wetµatmDonham, E MCalculated using CO2SYS
33Partial pressure of carbon dioxide, standard deviationpCO2 std dev±Donham, E MCalculated using CO2SYS
34Calcite saturation stateOmega CalDonham, E MCalculated using CO2SYS
35Calcite saturation state, standard deviationOmega Cal std dev±Donham, E MCalculated using CO2SYS
36Aragonite saturation stateOmega ArgDonham, E MCalculated using CO2SYS
37Aragonite saturation state, standard deviationOmega Arg std dev±Donham, E MCalculated using CO2SYS
38Carbonate system computation flagCSC flagYang, YanCalculated using seacarb after Nisumaa et al. (2010)
39Carbon dioxideCO2µmol/kgYang, YanCalculated using seacarb after Nisumaa et al. (2010)
40Fugacity of carbon dioxide (water) at sea surface temperature (wet air)fCO2water_SST_wetµatmYang, YanCalculated using seacarb after Nisumaa et al. (2010)
41Partial pressure of carbon dioxide (water) at sea surface temperature (wet air)pCO2water_SST_wetµatmYang, YanCalculated using seacarb after Nisumaa et al. (2010)
42Bicarbonate ion[HCO3]-µmol/kgYang, YanCalculated using seacarb after Nisumaa et al. (2010)
43Carbonate ion[CO3]2-µmol/kgYang, YanCalculated using seacarb after Nisumaa et al. (2010)
44Carbon, inorganic, dissolvedDICµmol/kgYang, YanCalculated using seacarb after Nisumaa et al. (2010)
45Aragonite saturation stateOmega ArgYang, YanCalculated using seacarb after Nisumaa et al. (2010)
46Calcite saturation stateOmega CalYang, YanCalculated using seacarb after Nisumaa et al. (2010)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
69718 data points

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