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Paula, José Ricardo; Baptista, Miguel; Carvalho, Francisco; Repolho, Tiago; Bshary, Redouan; Rosa, Rui (2019): Seawater carbonate chemistry and fish cognitive performance [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.914654

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Abstract:
Ocean acidification is one of the many consequences of climate change. Various studies suggest that marine organisms' behaviour will be impaired under high CO2. Here, we show that the cognitive performance of the cleaner wrasse, Labroides dimidiatus, has not suffered from the increase of CO2 from pre-industrial levels to today, and that the standing variation in CO2 tolerance offers potential for adaptation to at least 750 µatm. We acclimated cleaners over 30 days to five levels of pCO2, from pre-industrial to high future CO2 scenarios, before testing them in an ecologically relevant task—the ability to learn to prioritize an ephemeral food source over a permanent one. Fish learning abilities remained stable from pre-industrial to present-day pCO2. While performance was reduced under mid (750 µatm) and high CO2 (980 µatm) scenarios, under the former 36% of cleaners still solved the task. The presence of tolerant individuals reveals potential for adaptation, as long as selection pressure on cognitive performance is strong. However, the apparent absence of high CO2 tolerant fish, and potentially synergistic effects between various climate change stressors, renders the probability of further adaptation unlikely.
Keyword(s):
Animalia; Behaviour; Bottles or small containers/Aquaria (<20 L); Chordata; Coast and continental shelf; Indian Ocean; Laboratory experiment; Labroides dimidiatus; Nekton; Pelagos; Single species; Tropical
Supplement to:
Paula, José Ricardo; Baptista, Miguel; Carvalho, Francisco; Repolho, Tiago; Bshary, Redouan; Rosa, Rui (2019): The past, present and future of cleaner fish cognitive performance as a function of CO2 levels. Biology Letters, 15(12), 20190618, https://doi.org/10.1098/rsbl.2019.0618
Original version:
Paula, José Ricardo; Baptista, Miguel; Carvalho, Francisco; Repolho, Tiago; Bshary, Redouan; Rosa, Rui (2019): Data from: The past, present and future of cleaner fish cognitive performance as a function of CO2 levels. figshare, https://doi.org/10.6084/m9.figshare.9101993
Further details:
Gattuso, Jean-Pierre; Epitalon, Jean-Marie; Lavigne, Héloïse; Orr, James C; Gentili, Bernard; Hagens, Mathilde; Hofmann, Andreas; Mueller, Jens-Daniel; Proye, Aurélien; Rae, James; Soetaert, Karline (2019): seacarb: seawater carbonate chemistry with R. R package version 3.2.12. https://CRAN.R-project.org/package=seacarb
Comment:
In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2019) 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 2020-04-02.
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1TypeTypePaula, José Ricardostudy
2SpeciesSpeciesPaula, José Ricardo
3Registration number of speciesReg spec noPaula, José Ricardo
4Uniform resource locator/link to referenceURL refPaula, José RicardoWoRMS Aphia ID
5IdentificationIDPaula, José RicardoIndividual
6Partial pressure of carbon dioxide (water) at sea surface temperature (wet air)pCO2water_SST_wetµatmPaula, José Ricardo
7CategoryCatPaula, José Ricardosolved
8Numbern#Paula, José Ricardotrials
9IdentificationIDPaula, José Ricardosystem
10CategoryCatPaula, José Ricardoplate
11SalinitySalPaula, José Ricardo
12Temperature, waterTemp°CPaula, José Ricardo
13Temperature, water, standard deviationTemp std dev±Paula, José Ricardo
14pHpHPaula, José Ricardototal scale
15pH, standard deviationpH std dev±Paula, José Ricardototal scale
16Alkalinity, totalATµmol/kgPaula, José Ricardo
17Alkalinity, total, standard deviationAT std dev±Paula, José Ricardo
18Carbon, inorganic, dissolvedDICµmol/kgPaula, José RicardoCalculated using CO2SYS
19Carbon, inorganic, dissolved, standard deviationDIC std dev±Paula, José RicardoCalculated using CO2SYS
20Partial pressure of carbon dioxide (water) at sea surface temperature (wet air)pCO2water_SST_wetµatmPaula, José RicardoCalculated using CO2SYS
21Partial pressure of carbon dioxide, standard deviationpCO2 std dev±Paula, José RicardoCalculated using CO2SYS
22Aragonite saturation stateOmega ArgPaula, José RicardoCalculated using CO2SYS
23Aragonite saturation state, standard deviationOmega Arg std dev±Paula, José RicardoCalculated using CO2SYS
24Carbonate system computation flagCSC flagYang, YanCalculated using seacarb after Nisumaa et al. (2010)
25Carbon dioxideCO2µmol/kgYang, YanCalculated using seacarb after Nisumaa et al. (2010)
26Carbon dioxide, standard deviationCO2 std dev±Yang, YanCalculated using seacarb after Orr et al. (2018)
27Fugacity of carbon dioxide (water) at sea surface temperature (wet air)fCO2water_SST_wetµatmYang, YanCalculated using seacarb after Nisumaa et al. (2010)
28Fugacity of carbon dioxide in seawater, standard deviationfCO2 std dev±Yang, YanCalculated using seacarb after Orr et al. (2018)
29Partial pressure of carbon dioxide (water) at sea surface temperature (wet air)pCO2water_SST_wetµatmYang, YanCalculated using seacarb after Nisumaa et al. (2010)
30Partial pressure of carbon dioxide, standard deviationpCO2 std dev±Yang, YanCalculated using seacarb after Orr et al. (2018)
31Bicarbonate ion[HCO3]-µmol/kgYang, YanCalculated using seacarb after Nisumaa et al. (2010)
32Bicarbonate ion, standard deviation[HCO3]- std dev±Yang, YanCalculated using seacarb after Orr et al. (2018)
33Carbonate ion[CO3]2-µmol/kgYang, YanCalculated using seacarb after Nisumaa et al. (2010)
34Carbonate ion, standard deviation[CO3]2- std dev±Yang, YanCalculated using seacarb after Orr et al. (2018)
35Carbon, inorganic, dissolvedDICµmol/kgYang, YanCalculated using seacarb after Nisumaa et al. (2010)
36Carbon, inorganic, dissolved, standard deviationDIC std dev±Yang, YanCalculated using seacarb after Orr et al. (2018)
37Aragonite saturation stateOmega ArgYang, YanCalculated using seacarb after Nisumaa et al. (2010)
38Aragonite saturation state, standard deviationOmega Arg std dev±Yang, YanCalculated using seacarb after Orr et al. (2018)
39Calcite saturation stateOmega CalYang, YanCalculated using seacarb after Nisumaa et al. (2010)
40Calcite saturation state, standard deviationOmega Cal std dev±Yang, YanCalculated using seacarb after Orr et al. (2018)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
2360 data points

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