Data Description

Citation:
Wisshak, Max; Schönberg, Christine HL; Form, Armin; Freiwald, André; Yang, Yan (2013): Effects of ocean acidification and global warming on reef bioerosion-lessons from a clionaid sponge. doi:10.1594/PANGAEA.831660,
Supplement to: Wisshak, Max; Schönberg, Christine HL; Form, Armin; Freiwald, André (2013): Effects of ocean acidification and global warming on reef bioerosion-lessons from a clionaid sponge. Aquatic Biology, 19(2), 111-127, doi:10.3354/ab00527
Abstract:
Coral reefs are under threat, exerted by a number of interacting effects inherent to the present climate change, including ocean acidification and global warming. Bioerosion drives reef degradation by recycling carbonate skeletal material and is an important but understudied factor in this context. Twelve different combinations of pCO2 and temperature were applied to elucidate the consequences of ocean acidification and global warming on the physiological response and bioerosion rates of the zooxanthellate sponge Cliona orientalis-one of the most abundant and effective bioeroders on the Great Barrier Reef, Australia. Our results confirm a significant amplification of the sponges' bioerosion capacity with increasing pCO2, which is expressed by more carbonate being chemically dissolved by etching. The health of the sponges and their photosymbionts was not affected by changes in pCO2, in contrast to temperature, which had significant negative impacts at higher levels. However, we could not conclusively explain the relationship between temperature and bioerosion rates, which were slightly reduced at both colder as well as warmer temperatures than ambient. The present findings on the effects of ocean acidification on chemical bioerosion, however, will have significant implications for predicting future reef carbonate budgets, as sponges often contribute the lion's share of internal bioerosion on coral reefs.
Further details:
Lavigne, Héloise; Gattuso, Jean-Pierre (2011): seacarb: seawater carbonate chemistry with R. R package version 2.4. https://cran.r-project.org/package=seacarb *
Project(s):
Comment:
In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Lavigne and Gattuso, 2011) 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 2014-04-04.
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethodComment
1Species *SpeciesWisshak, Max *
2Figure *FigWisshak, Max *
3Table *TabWisshak, Max *
4Treatment *TreatmWisshak, Max *
5Time point, descriptive *Time pointWisshak, Max *
6Score *ScoreWisshak, Max *health
7Score, standard deviation *Score std dev±Wisshak, Max *health
8Maximum photochemical quantum yield of photosystem II *Fv/FmWisshak, Max *
9Maximum photochemical quantum yield of photosystem II, standard deviation *Fv/Fm std dev±Wisshak, Max *
10Fluorescence, minimum *FoWisshak, Max *
11Fluorescence, minimum, standard deviation *Fo std dev±Wisshak, Max *
12Partial pressure of carbon dioxide (water) at sea surface temperature (wet air) *pCO2water_SST_wetµatmWisshak, Max *Calculated using CO2SYS *
13pH *pHWisshak, Max *Potentiometric *total scale
14Bioerosion rate *Bioerosionkg/m2/aWisshak, Max *chemical
15Temperature, water *Temp°CWisshak, Max *
16Temperature, water, standard deviation *Temp std dev±Wisshak, Max *
17Salinity *SalWisshak, Max *
18Salinity, standard deviation *Sal std dev±Wisshak, Max *
19pH *pHWisshak, Max *Potentiometric *mean, total scale
20pH, standard deviation *pH std dev±Wisshak, Max *Potentiometric *total scale
21Alkalinity, total *ATµmol/kgWisshak, Max *Potentiometric titration *
22Alkalinity, total, standard deviation *AT std dev±Wisshak, Max *Potentiometric titration *
23Carbon, inorganic, dissolved *DICµmol/kgWisshak, Max *Calculated using CO2SYS *
24Carbon, inorganic, dissolved, standard deviation *DIC std dev±Wisshak, Max *Calculated using CO2SYS *
25Partial pressure of carbon dioxide (water) at sea surface temperature (wet air) *pCO2water_SST_wetµatmWisshak, Max *Calculated using CO2SYS *mean
26Partial pressure of carbon dioxide, respiration, standard deviation *pCO2 resp std dev±Wisshak, Max *Calculated using CO2SYS *mean
27Bicarbonate ion *[HCO3]-µmol/kgWisshak, Max *Calculated using CO2SYS *
28Bicarbonate ion, standard deviation *[HCO3]- std dev±Wisshak, Max *Calculated using CO2SYS *
29Carbonate ion *[CO3]2-µmol/kgWisshak, Max *Calculated using CO2SYS *
30Carbonate ion, standard deviation *[CO3]2- std dev±Wisshak, Max *Calculated using CO2SYS *
31Aragonite saturation state *Omega ArgWisshak, Max *Calculated using CO2SYS *
32Aragonite saturation state, standard deviation *Omega Arg std dev±Wisshak, Max *Calculated using CO2SYS *
33Calcite saturation state *Omega CalWisshak, Max *Calculated using CO2SYS *
34Calcite saturation state, standard deviation *Omega Cal std dev±Wisshak, Max *Calculated using CO2SYS *
35Carbonate system computation flag *CSC flagYang, Yan *Calculated using seacarb after Nisumaa et al. (2010) *
36Carbon dioxide *CO2µmol/kgYang, Yan *Calculated using seacarb after Nisumaa et al. (2010) *
37Partial pressure of carbon dioxide (water) at sea surface temperature (wet air) *pCO2water_SST_wetµatmYang, Yan *Calculated using seacarb after Nisumaa et al. (2010) *
38Fugacity of carbon dioxide (water) at sea surface temperature (wet air) *fCO2water_SST_wetµatmYang, Yan *Calculated using seacarb after Nisumaa et al. (2010) *
39Bicarbonate ion *[HCO3]-µmol/kgYang, Yan *Calculated using seacarb after Nisumaa et al. (2010) *
40Carbonate ion *[CO3]2-µmol/kgYang, Yan *Calculated using seacarb after Nisumaa et al. (2010) *
41Carbon, inorganic, dissolved *DICµmol/kgYang, Yan *Calculated using seacarb after Nisumaa et al. (2010) *
42Aragonite saturation state *Omega ArgYang, Yan *Calculated using seacarb after Nisumaa et al. (2010) *
43Calcite saturation state *Omega CalYang, Yan *Calculated using seacarb after Nisumaa et al. (2010) *
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Size:
2508 data points

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