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  • PANGAEA  (20)
  • 2015-2019  (20)
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Year
  • 1
    Publication Date: 2023-03-14
    Keywords: Change; Darlington; DATE/TIME; EXP; Experiment; Oxygen saturation; pH; pH change; Replicate; Treatment
    Type: Dataset
    Format: text/tab-separated-values, 168 data points
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  • 2
    Publication Date: 2023-03-14
    Keywords: Darlington; DATE/TIME; DEPTH, water; Event label; EXP; Experiment; Fortescue_Bay; Habitat; LATITUDE; LONGITUDE; Oxygen; pH; ph electrode; pHTempion; Replicate; Salinity; SeaPHOX; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 9497 data points
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  • 3
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    PANGAEA
    In:  Supplement to: Britton, Damon; Cornwall, Christopher Edward; Revill, Andrew T; Hurd, Catriona L; Johnson, Craig R (2016): Ocean acidification reverses the positive effects of seawater pH fluctuations on growth and photosynthesis of the habitat-forming kelp, Ecklonia radiata. Scientific Reports, 6, 26036, https://doi.org/10.1038/srep26036
    Publication Date: 2023-01-13
    Description: Ocean acidification (OA) is the reduction in seawater pH due to the absorption of human-released CO2 by the world's oceans. The average surface oceanic pH is predicted to decline by 0.4 units by 2100. However, kelp metabolically modifies seawater pH via photosynthesis and respiration in some temperate coastal systems, resulting in daily pH fluctuations of up to ±0.45 units. It is unknown how these fluctuations in pH influence the growth and physiology of the kelp, or how this might change with OA. In laboratory experiments that mimicked the most extreme pH fluctuations measured within beds of the canopy-forming kelp Ecklonia radiata in Tasmania, the growth and photosynthetic rates of juvenile E. radiata were greater under fluctuating pH (8.4 in the day, 7.8 at night) than in static pH treatments (8.4, 8.1, 7.8). However, pH fluctuations had no effect on growth rates and a negative effect on photosynthesis when the mean pH of each treatment was reduced by 0.3 units. Currently, pH fluctuations have a positive effect on E. radiata but this effect could be reversed in the future under OA, which is likely to impact the future ecological dynamics and productivity of habitats dominated by E. radiata.
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 4
    Publication Date: 2023-07-07
    Description: Seaweeds are able to modify the chemical environment at their surface, in a micro‐zone called the diffusive boundary layer (DBL), via their metabolic processes controlled by light intensity. Depending on the thickness of the DBL, sessile invertebrates such as calcifying bryozoans or tube‐forming polychaetes living on the surface of the blades can be affected by the chemical variations occurring in this microlayer. Especially in the context of ocean acidification (OA), these microhabitats might be considered as a refuge from lower pH, because during the day photosynthesis temporarily raises the pH to values higher than in the mainstream seawater. We assessed the thickness and the characteristics of the DBL at two pH levels (today's average surface ocean pH 8.1 and a reduced pH predicted for the end of the century, pH 7.7) and seawater flows (slow, 0.5 and fast, 〉8 cm/s) on Ecklonia radiata (kelp) blades. Oxygen and pH profiles from the blade surface to the mainstream seawater were measured with O2 and pH microsensors for both bare blades and blades colonized by the bryozoan Membranipora membranacea. The DBL was thicker in slow flow compared with fast flow and the presence of bryozoans increased the DBL thickness and shaped the DBL gradient in dark conditions. Net production was increased in the low pH condition, increasing the amount of oxygen in the DBL in both bare and epiphytized blades. This increase drove the daily pH fluctuations at the blade surface, shifting them towards higher values compared with today's pH. The presence of bryozoans led to lower oxygen concentrations in the DBL and more complex pH fluctuations at the blade surface, particularly at pH 7.7. Overall, this study, based on microprofiles, shows that, in slow flow, DBL microenvironments at the surface of the kelps may constitute a refuge from OA with pH values higher than those of the mainstream seawater. For calcifying organisms, it could also represent training ground for harsh conditions, with broad daily pH and oxygen fluctuations. These chemical microenvironments, biologically shaped by the macrophytes, are of great interest for the resilience of coastal ecosystems in the context of global change.
    Keywords: Benthos; Chromista; Coast and continental shelf; Containers and aquaria (20-1000 L or 〈 1 m**2); Laboratory experiment; Macroalgae; OA-ICC; Ocean Acidification International Coordination Centre; Ochrophyta; Other; Other metabolic rates; Primary production/Photosynthesis; Single species; South Pacific; Temperate
    Type: Dataset
    Format: application/zip, 7 datasets
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  • 5
    Publication Date: 2024-03-15
    Keywords: Alkalinity, total; Aragonite saturation state; Benthos; Bicarbonate ion; Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard error; Carbon/Nitrogen ratio; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Chromista; Coast and continental shelf; Deoxyribonucleic acid; Ecklonia radiata; EXP; Experiment; Fortescue_Bay; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Growth rate; Laboratory experiment; Macroalgae; Maximal electron transport rate, relative; Maximum photochemical quantum yield of photosystem II; Net photosynthesis rate, oxygen; OA-ICC; Ocean Acidification International Coordination Centre; Ochrophyta; Other; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; pH, standard error; Primary production/Photosynthesis; Registration number of species; Replicate; Ribonucleic acid; RNA/DNA ratio; Salinity; Single species; South Pacific; Species; Temperate; Temperature, water; Treatment; Type; Uniform resource locator/link to reference; δ13C
    Type: Dataset
    Format: text/tab-separated-values, 1400 data points
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  • 6
    Publication Date: 2024-03-15
    Keywords: Alkalinity, total; Ammonium; Aragonite saturation state; Bicarbonate ion; Calcite saturation state; Calculated using seacarb; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Date; EXP; Experiment; Experiment duration; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Nitrate and Nitrite; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; Phosphate; Potentiometric; Potentiometric titration; Registration number of species; Salinity; South Pacific; Species; Tasmania_Hobart; Temperature, water; Time point, descriptive; Treatment; Type; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 875 data points
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  • 7
    Publication Date: 2024-03-15
    Keywords: Alkalinity, total; Alkalinity, total, standard error; Ammonium; Ammonium, standard error; Aragonite saturation state; Bicarbonate ion; Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Chlorophyll a; Chlorophyll c; EXP; Experiment; Experiment duration; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Mass; Nitrate and Nitrite; Nitrate and Nitrite, standard error; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; pH, standard error; Phosphate; Phosphate, standard error; Potentiometric; Potentiometric titration; Registration number of species; Salinity; Salinity, standard error; Sample ID; South Pacific; Species; Tasmania_Hobart; Temperature, water; Temperature, water, standard error; Treatment; Type; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 2304 data points
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  • 8
    Publication Date: 2024-03-15
    Keywords: Alkalinity, total; Alkalinity, total, standard error; Ammonium; Ammonium, standard error; Aragonite saturation state; Bicarbonate ion; Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Difference; Distance; EXP; Experiment; Experiment duration; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Nitrate and Nitrite; Nitrate and Nitrite, standard error; Oxygen, standardized; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; pH, standard error; Phosphate; Phosphate, standard error; Potentiometric; Potentiometric titration; Registration number of species; Salinity; Salinity, standard error; Sample ID; South Pacific; Species; Tasmania_Hobart; Temperature, water; Temperature, water, standard error; Treatment; Type; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 6480 data points
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  • 9
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    PANGAEA
    In:  Supplement to: Rautenberger, Ralf; Fernández, Pamela A; Strittmatter, Martina; Heesch, Svenja; Cornwall, Christopher Edward; Hurd, Catriona L; Roleda, Michael Y (2015): Saturating light and not increased carbon dioxide under ocean acidification drives photosynthesis and growth in Ulva rigida (Chlorophyta). Ecology and Evolution, 5(4), 874-888, https://doi.org/10.1002/ece3.1382
    Publication Date: 2024-03-15
    Description: Carbon physiology of a genetically identified Ulva rigida was investigated under different CO2(aq) and light levels. The study was designed to answer whether (1) light or exogenous inorganic carbon (Ci) pool is driving growth; and (2) elevated CO2(aq) concentration under ocean acidification (OA) will downregulate CAext-mediated inline image dehydration and alter the stable carbon isotope (delta13C) signatures toward more CO2 use to support higher growth rate. At pHT 9.0 where CO2(aq) is 〈1 ?mol/L, inhibition of the known inline image use mechanisms, that is, direct inline image uptake through the AE port and CAext-mediated inline image dehydration decreased net photosynthesis (NPS) by only 56-83%, leaving the carbon uptake mechanism for the remaining 17-44% of the NPS unaccounted. An in silico search for carbon-concentrating mechanism elements in expressed sequence tag libraries of Ulva found putative light-dependent inline image transporters to which the remaining NPS can be attributed. The shift in delta13C signatures from -22 per mil toward -10 per mil under saturating light but not under elevated CO2(aq) suggest preference and substantial inline image use to support photosynthesis and growth. U. rigida is Ci saturated, and growth was primarily controlled by light. Therefore, increased levels of CO2(aq) predicted for the future will not, in isolation, stimulate Ulva blooms.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Benthos; Bicarbonate ion; Bicarbonate ion, standard deviation; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Calculated using SWCO2 (Hunter, 2007); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate ion, standard deviation; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, standard deviation; Carbonic anhydrase activity; Chlorophyta; Coast and continental shelf; EXP; Experiment; Figure; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Growth rate; Inhibition of net photosynthesis; Laboratory experiment; Light; Macroalgae; OA-ICC; Ocean Acidification International Coordination Centre; Otago_Harbour; Other metabolic rates; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; pH, standard deviation; Plantae; Potentiometric; Potentiometric titration; Primary production/Photosynthesis; Replicate; Salinity; Single species; South Pacific; Species; Temperate; Temperature, water; Temperature, water, standard deviation; Treatment; Ulva rigida; δ13C
    Type: Dataset
    Format: text/tab-separated-values, 2344 data points
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  • 10
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    PANGAEA
    In:  Supplement to: Fernández, Pamela A; Roleda, Michael Y; Hurd, Catriona L (2015): Effects of ocean acidification on the photosynthetic performance, carbonic anhydrase activity and growth of the giant kelp Macrocystis pyrifera. Photosynthesis Research, 124(3), 293-304, https://doi.org/10.1007/s11120-015-0138-5
    Publication Date: 2024-03-15
    Description: Under ocean acidification (OA), the 200 % increase in CO2(aq) and the reduction of pH by 0.3-0.4 units are predicted to affect the carbon physiology and growth of macroalgae. Here we examined how the physiology of the giant kelp Macrocystis pyrifera is affected by elevated pCO2/low pH. Growth and photosynthetic rates, external and internal carbonic anhydrase (CA) activity, HCO3 (-) versus CO2 use were determined over a 7-day incubation at ambient pCO2 400 µatm/pH 8.00 and a future OA treatment of pCO2 1200 µatm/pH 7.59. Neither the photosynthetic nor growth rates were changed by elevated CO2 supply in the OA treatment. These results were explained by the greater use of HCO3 (-) compared to CO2 as an inorganic carbon (Ci) source to support photosynthesis. Macrocystis is a mixed HCO3 (-) and CO2 user that exhibits two effective mechanisms for HCO3 (-) utilization; as predicted for species that possess carbon-concentrating mechanisms (CCMs), photosynthesis was not substantially affected by elevated pCO2. The internal CA activity was also unaffected by OA, and it remained high and active throughout the experiment; this suggests that HCO3 (-) uptake via an anion exchange protein was not affected by OA. Our results suggest that photosynthetic Ci uptake and growth of Macrocystis will not be affected by elevated pCO2/low pH predicted for the future, but the combined effects with other environmental factors like temperature and nutrient availability could change the physiological response of Macrocystis to OA. Therefore, further studies will be important to elucidate how this species might respond to the global environmental change predicted for the ocean.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Aramoana; Benthos; Bicarbonate ion; Bicarbonate ion, standard deviation; Bicarbonate uptake rate; Bicarbonate uptake rate, standard error; Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Calculated using SWCO2 (Hunter, 2007); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbon, total; Carbon, total, standard deviation; Carbon/Nitrogen ratio; Carbon/Nitrogen ratio, standard deviation; Carbonate ion; Carbonate ion, standard deviation; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, standard deviation; Carbon dioxide uptake, standard error; Carbon dioxide uptake rate; Carbonic anhydrase activity; Carbonic anhydrase activity, standard error; Change; Change, standard error; Chromista; Coast and continental shelf; Coulometric titration; EXP; Experiment; Figure; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Growth rate; Growth rate, standard error; Inhibition of net photosynthesis; Inhibition of net photosynthesis, standard error; Laboratory experiment; Macroalgae; Macrocystis pyrifera; Net photosynthesis rate, oxygen; Net photosynthesis rate, oxygen, standard error; Nitrogen, standard deviation; Nitrogen, total; OA-ICC; Ocean Acidification International Coordination Centre; Ochrophyta; Other metabolic rates; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; pH, standard error; Potentiometric titration; Primary production/Photosynthesis; Salinity; Single species; South Pacific; Species; Spectrophotometric; Table; Temperate; Temperature, water; Time in days; Treatment; δ13C; δ13C, standard deviation; δ15N; δ15N, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 766 data points
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