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  • Data  (7)
  • 2015-2019  (2)
  • 2010-2014  (5)
  • 1990-1994
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  • 1
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    PANGAEA
    In:  Supplement to: Croot, Peter L; Bowie, Andrew R; Frew, Russell; Maldonado, Maria T; Hall, Julie A; Safi, Karl A; La Roche, Julie; Boyd, Philip W; Law, Cliff S (2001): Retention of dissolved iron and Fe II in an iron induced Southern Ocean phytoplankton bloom. Geophysical Research Letters, 28(18), 3425-3428, https://doi.org/10.1029/2001GL013023
    Publication Date: 2023-01-13
    Description: During the 13 day Southern Ocean Iron RE-lease Experiment (SOIREE), dissolved iron concentrations decreased rapidly following each of three iron-enrichments, but remained high (〉1 nM, up to 80% as FeII) after the fourth and final enrichment on day 8. The former trend was mainly due to dilution (spreading of iron-fertilized waters) and particle scavenging. The latter may only be explained by a joint production-maintenance mechanism; photoreduction is the only candidate process able to produce sufficiently high FeII, but as such levels persisted overnight (8 hr dark period) -ten times the half-life for this species- a maintenance mechanism (complexation of FeII) is required, and is supported by evidence of increased ligand concentrations on day 12. The source of these ligands and their affinity for FeII is not known. This retention of iron probably permitted the longevity of this bloom raising fundamental questions about iron cycling in HNLC (High Nitrate Low Chlorophyll) Polar waters.
    Keywords: Comment; Date/Time of event; DEPTH, water; Error; Event label; GOFLO; Go-Flo bottles; Iron, dissolved; Iron, dissolved, conditional complex stability; Iron-binding ligand, dissolved; Latitude of event; Longitude of event; SOIREE; Southern Ocean - Australasian-Pacific Sector; T1136-1; T1139-1; T1140-6; T1141-6; T1144-6; T1151-5; T1152-5; T1158-5; T1159-6; T1160-3; T1162-4; T1171-5; Tangaroa; Voltammetry
    Type: Dataset
    Format: text/tab-separated-values, 64 data points
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2024-02-01
    Keywords: CTD; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Event label; JGOFS; Joint Global Ocean Flux Study; Latitude of event; Longitude of event; Measured in situ; Salinity; SOIREE; Southern Ocean - Australasian-Pacific Sector; Sulfur hexafluoride, SF6; T1139-4; T1140-12; T1140-14; T1140-5; T1141-11; T1144-14; T1144-15; T1144-5; T1145-4; T1147-1; T1151-12; T1151-14; T1151-4; T1152-8; T1154-3; T1157-5; T1158-11; T1158-4; T1158-6; T1159-11; T1159-12; T1159-5; T1160-4; T1162-11; T1162-3; T1162-9; T1167-2; T1167-6; T1167-7; T1167-8; T1168-10; T1171-12; T1171-4; T1171-9; Tangaroa; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 783 data points
    Location Call Number Limitation Availability
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  • 3
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    PANGAEA
    In:  Supplement to: Cornwall, Christopher Edward; Hepburn, Christopher D; McGraw, Christina M; Currie, Kim I; Pilditch, Conrad A; Hunter, Keith A; Boyd, Philip W; Hurd, Catriona L (2013): Diurnal fluctuations in seawater pH influence the response of a calcifying macroalga to ocean acidification. Proceedings of the Royal Society B-Biological Sciences, 280(1772), 20132201-20132201, https://doi.org/10.1098/rspb.2013.2201
    Publication Date: 2024-03-15
    Description: Coastal ecosystems that are characterized by kelp forests encounter daily pH fluctuations, driven by photosynthesis and respiration, which are larger than pH changes owing to ocean acidification (OA) projected for surface ocean waters by 2100. We investigated whether mimicry of biologically mediated diurnal shifts in pH-based for the first time on pH time-series measurements within a kelp forest-would offset or amplify the negative effects of OA on calcifiers. In a 40-day laboratory experiment, the calcifying coralline macroalga, Arthrocardia corymbosa, was exposed to two mean pH treatments (8.05 or 7.65). For each mean, two experimental pH manipulations were applied. In one treatment, pH was held constant. In the second treatment, pH was manipulated around the mean (as a step-function), 0.4 pH units higher during daylight and 0.4 units lower during darkness to approximate diurnal fluctuations in a kelp forest. In all cases, growth rates were lower at a reduced mean pH, and fluctuations in pH acted additively to further reduce growth. Photosynthesis, recruitment and elemental composition did not change with pH, but ?(13)C increased at lower mean pH. Including environmental heterogeneity in experimental design will assist with a more accurate assessment of the responses of calcifiers to OA.
    Keywords: Alkalinity, total; Alkalinity, total, standard error; Aragonite saturation state; Arthrocardia corymbosa; Benthos; Bicarbonate ion; Bicarbonate ion, standard error; Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calcium; Calcium, standard error; Calculated; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard error; Carbon/Nitrogen ratio; Carbon/Nitrogen ratio, standard error; Carbonate ion; Carbonate ion, standard error; Carbonate system computation flag; Carbon dioxide; Chlorophyll a; Chlorophyll a, standard error; Coast and continental shelf; EXP; Experiment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Gross photosynthesis rate, oxygen; Gross photosynthesis rate, oxygen, standard error; Growth/Morphology; Growth rate; Growth rate, standard error; Incubation duration; Karitane; Laboratory experiment; Macroalgae; Magnesium; Magnesium, standard error; Magnesium carbonate, magnesite; Magnesium carbonate, magnesite, standard error; Maximum photochemical quantum yield of photosystem II; Maximum photochemical quantum yield of photosystem II, standard error; OA-ICC; Ocean Acidification International Coordination Centre; Other; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Partial pressure of carbon dioxide (water) at sea surface temperature (wet air), standard error; pH; pH, standard error; Phycocyanin; Phycocyanin, standard error; Phycoerythrin; Phycoerythrin, standard error; Plantae; Potentiometric; Potentiometric titration; Primary production/Photosynthesis; Recruitment; Recruitment, standard error; Reproduction; Rhodophyta; Salinity; Single species; South Pacific; Species; Temperate; Temperature, water; Treatment; δ13C, inorganic carbon; δ13C, inorganic carbon, standard error; δ13C, organic carbon; δ13C, organic carbon, standard error; δ15N, organic matter; δ15N, organic matter, standard error
    Type: Dataset
    Format: text/tab-separated-values, 1763 data points
    Location Call Number Limitation Availability
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  • 4
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    PANGAEA
    In:  Supplement to: Jin, Peng; Wang, Tifeng; Liu, Nana; Dupont, Sam; Beardall, John; Boyd, Philip W; Riebesell, Ulf; Gao, Kunshan (2015): Ocean acidification increases the accumulation of toxic phenolic compounds across trophic levels. Nature Communications, 6, 8714, https://doi.org/10.1038/ncomms9714
    Publication Date: 2024-03-15
    Description: Increasing atmospheric CO2 concentrations are causing ocean acidification (OA), altering carbonate chemistry with consequences for marine organisms. Here we show that OA increases by 46-212% the production of phenolic compounds in phytoplankton grown under the elevated CO2 concentrations projected for the end of this century, compared with the ambient CO2 level. At the same time, mitochondrial respiration rate is enhanced under elevated CO2 concentrations by 130-160% in a single species or mixed phytoplankton assemblage. When fed with phytoplankton cells grown under OA, zooplankton assemblages have significantly higher phenolic compound content, by about 28-48%. The functional consequences of the increased accumulation of toxic phenolic compounds in primary and secondary producers have the potential to have profound consequences for marine ecosystem and seafood quality, with the possibility that fishery industries could be influenced as a result of progressive ocean changes.
    Keywords: Alkalinity, total; Aragonite saturation state; Bicarbonate ion; Calcite saturation state; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Chromista; Emiliania huxleyi; EXP; Experiment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Haptophyta; Immunology/Self-protection; Laboratory experiment; Laboratory strains; Mesocosm or benthocosm; North Pacific; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; Phenolics, all; Phenolics, all, per individual; Phytoplankton; Potentiometric; Registration number of species; Replicate; Respiration; Respiration rate, oxygen, per cell; Salinity; Single species; Species; Temperature, water; Treatment; Type; Uniform resource locator/link to reference; Wuyuan_Bay
    Type: Dataset
    Format: text/tab-separated-values, 1434 data points
    Location Call Number Limitation Availability
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  • 5
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    PANGAEA
    In:  Supplement to: Cornwall, Christopher Edward; Boyd, Philip W; McGraw, Christina M; Hepburn, Christopher D; Pilditch, Conrad A; Morris, Jaz N; Smith, Abigail M; Hurd, Catriona L (2014): Diffusion Boundary Layers Ameliorate the Negative Effects of Ocean Acidification on the Temperate Coralline Macroalga Arthrocardia corymbosa. PLoS ONE, 9(5), e97235, https://doi.org/10.1371/journal.pone.0097235
    Publication Date: 2024-03-15
    Description: Anthropogenically-modulated reductions in pH, termed ocean acidification, could pose a major threat to the physiological performance, stocks, and biodiversity of calcifiers and may devalue their ecosystem services. Recent debate has focussed on the need to develop approaches to arrest the potential negative impacts of ocean acidification on ecosystems dominated by calcareous organisms. In this study, we demonstrate the role of a discrete (i.e. diffusion) boundary layer (DBL), formed at the surface of some calcifying species under slow flows, in buffering them from the corrosive effects of low pH seawater. The coralline macroalga Arthrocardia corymbosa was grown in a multifactorial experiment with two mean pH levels (8.05 'ambient' and 7.65 a worst case 'ocean acidification' scenario projected for 2100), each with two levels of seawater flow (fast and slow, i.e. DBL thin or thick). Coralline algae grown under slow flows with thick DBLs (i.e., unstirred with regular replenishment of seawater to their surface) maintained net growth and calcification at pH 7.65 whereas those in higher flows with thin DBLs had net dissolution. Growth under ambient seawater pH (8.05) was not significantly different in thin and thick DBL treatments. No other measured diagnostic (recruit sizes and numbers, photosynthetic metrics, %C, %N, %MgCO3) responded to the effects of reduced seawater pH. Thus, flow conditions that promote the formation of thick DBLs, may enhance the subsistence of calcifiers by creating localised hydrodynamic conditions where metabolic activity ameliorates the negative impacts of ocean acidification.
    Keywords: Alkalinity, total; Alkalinity, total, standard error; Aragonite saturation state; Arthrocardia corymbosa; Benthos; Bicarbonate ion; Bicarbonate ion, standard error; Biomass/Abundance/Elemental composition; Calcification/Dissolution; Calcification rate of calcium carbonate; Calcite; Calcite saturation state; Calculated; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard error; Carbon, organic, total; Carbon/Nitrogen ratio; Carbonate ion; Carbonate ion, standard error; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, standard error; Chlorophyll a; Chlorophyll c; Chlorophyll d; Coast and continental shelf; Containers and aquaria (20-1000 L or 〈 1 m**2); Diffusive boundary layer; Diffusive boundary layer, standard error; EXP; Experiment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Growth rate; Identification; Karitane_South_Island; Laboratory experiment; Light capturing capacity; Light saturation point; Macroalgae; Maximal electron transport rate, relative; Maximum photochemical quantum yield of photosystem II; Nitrogen, organic; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Partial pressure of carbon dioxide (water) at sea surface temperature (wet air), standard error; pH; pH, standard error; Photoinhibition; Phycocyanin; Phycoerythrin; Plantae; Potentiometric; Potentiometric titration; Primary production/Photosynthesis; Proportion; Recruitment; Recruit size; Reproduction; Rhodophyta; Salinity; Single species; South Pacific; Species; Temperate; Temperature, water; Temperature, water, standard error; Treatment; δ13C; δ15N
    Type: Dataset
    Format: text/tab-separated-values, 3500 data points
    Location Call Number Limitation Availability
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  • 6
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    PANGAEA
    In:  Supplement to: Feng, Yuanyuan; Roleda, Michael Y; Armstrong, Evelyn; Law, Cliff S; Boyd, Philip W; Hurd, Catriona L (2018): Environmental controls on the elemental composition of a Southern Hemisphere strain of the coccolithophore Emiliania huxleyi. Biogeosciences, 581-595, https://doi.org/10.5194/bg-15-581-2018
    Publication Date: 2024-05-27
    Description: A series of semi-continuous incubation experiments were conducted with the coccolithophore Emiliania huxleyi strain NIWA1108 (Southern Ocean isolate) to examine the effects of five environmental drivers (nitrate concentration, phosphate concentration, irradiance, temperature and pCO2) on both the physiological rates and elemental composition. Here, we report the alteration of the elemental composition of E. huxleyi in response to the changes in these environmental drivers. A series of dose response curves for the cellular elemental composition of E. huxleyi were fitted for each of the five drivers across an environmentally-representative gradient. The importance of each driver in regulating the elemental composition of E. huxleyi was ranked using a semi-quantitative approach. The percentage variation in elemental composition arising from the change in each driver between present day and model-projected conditions for the year 2100 were calculated. Temperature was the most important driver controlling both cellular particulate organic and inorganic carbon content, whereas nutrient concentrations were the most important regulator of cellular particulate nitrogen and phosphorus of E. huxleyi. In contrast, elevated pCO2 had the greatest influence on cellular particulate inorganic carbon to organic carbon ratio, resulting in a decrease in the ratio. Our results indicate that the different environmental drivers each play specific roles in regulating the cellular elemental composition of E. huxleyi with wide-reaching implications for coccolithophore biogeochemistry, as a consequence of the regulation of E. huxleyi physiological processes.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Bicarbonate ion; Bicarbonate ion, standard deviation; Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calcite saturation state, standard deviation; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbon, inorganic, particulate, per cell; Carbon, organic, particulate, per cell; Carbon, organic, particulate, standard deviation; Carbon, organic, particulate/chlorophyll a ratio; Carbon, organic, particulate/chlorophyll a ratio, standard deviation; Carbonate ion; Carbonate ion, standard deviation; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, partial pressure; Carbon dioxide, standard deviation; Chromista; Emiliania huxleyi; Experiment duration; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Growth rate; Haptophyta; Irradiance; Laboratory experiment; Laboratory strains; Nitrate; Nitrogen, organic, particulate, per cell; Nitrogen, organic, particulate, per cell, standard deviation; Not applicable; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Particulate inorganic carbon/particulate organic carbon ratio; Particulate inorganic carbon/particulate organic carbon ratio, standard deviation; Particulate inorganic carbon per cell, standard deviation; Pelagos; pH; pH, standard deviation; Phosphate; Phosphorus, organic, particulate, per cell; Phosphorus, organic, particulate, per cell, standard deviation; Phytoplankton; Registration number of species; Salinity; Single species; Species; Temperature, water; Type; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 758 data points
    Location Call Number Limitation Availability
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  • 7
    Publication Date: 2024-04-03
    Description: Ocean acidification and greenhouse warming will interactively influence competitive success of key phytoplankton groups such as diatoms, but how long-term responses to global change will affect community structure is unknown. We incubated a mixed natural diatom community from coastal New Zealand waters in a short-term (two-week) incubation experiment using a factorial matrix of warming and/or elevated pCO2 and measured effects on community structure. We then isolated the dominant diatoms in clonal cultures and conditioned them for 1 year under the same temperature and pCO2 conditions from which they were isolated, in order to allow for extended selection or acclimation by these abiotic environmental change factors in the absence of interspecific interactions. These conditioned isolates were then recombined into 'artificial' communities modelled after the original natural assemblage and allowed to compete under conditions identical to those in the short-term natural community experiment. In general, the resulting structure of both the unconditioned natural community and conditioned 'artificial' community experiments was similar, despite differences such as the loss of two species in the latter. pCO2 and temperature had both individual and interactive effects on community structure, but temperature was more influential, as warming significantly reduced species richness. In this case, our short-term manipulative experiment with a mixed natural assemblage spanning weeks served as a reasonable proxy to predict the effects of global change forcing on diatom community structure after the component species were conditioned in isolation over an extended timescale. Future studies will be required to assess whether or not this is also the case for other types of algal communities from other marine regimes.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Aragonite saturation state, standard deviation; Bicarbonate ion; Bicarbonate ion, standard deviation; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calcite saturation state, standard deviation; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate ion, standard deviation; Carbonate system computation flag; Carbon dioxide; Cell density; Chaetoceros criophilus; Coast and continental shelf; Community composition and diversity; Coscinodiscus sp.; Coulometric titration; Cylindrotheca fusiformis; Entire community; Experiment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Growth rate; Growth rate, standard deviation; Incubation duration; Laboratory experiment; Navicula sp.; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; pH, standard deviation; Pseudonitzschia delicatissima; Salinity; Sample ID; South Pacific; Species; Spectrophotometric; Temperate; Temperature; Temperature, water; Thalassiosira sp.; Treatment
    Type: Dataset
    Format: text/tab-separated-values, 10188 data points
    Location Call Number Limitation Availability
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