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  • 1
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    PANGAEA
    In:  Supplement to: Roleda, Michael Y; Cornwall, Christopher Edward; Feng, Yuanyuan; McGraw, Christina M; Smith, Abigail M; Hurd, Catriona L (2015): Effect of ocean acidification and pH fluctuations on the growth and development of coralline algal recruits, and an associated benthic algal assemblage. PLoS ONE, 10(10), e0140394, https://doi.org/10.1371/journal.pone.0140394
    Publication Date: 2024-03-15
    Description: Coralline algae are susceptible to the changes in the seawater carbonate system associated with ocean acidification (OA). However, the coastal environments in which corallines grow are subject to large daily pH fluctuations which may affect their responses to OA. Here, we followed the growth and development of the juvenile coralline alga Arthrocardia corymbosa, which had recruited into experimental conditions during a prior experiment, using a novel OA laboratory culture system to simulate the pH fluctuations observed within a kelp forest. Microscopic life history stages are considered more susceptible to environmental stress than adult stages; we compared the responses of newly recruited A. corymbosa to static and fluctuating seawater pH with those of their field-collected parents. Recruits were cultivated for 16 weeks under static pH 8.05 and 7.65, representing ambient and 4*preindustrial pCO2 concentrations, respectively, and two fluctuating pH treatments of daily (daytime pH = 8.45, night-time pH = 7.65) and daily (daytime pH = 8.05, night-time pH = 7.25). Positive growth rates of new recruits were recorded in all treatments, and were highest under static pH 8.05 and lowest under fluctuating pH 7.65. This pattern was similar to the adults' response, except that adults had zero growth under fluctuating pH 7.65. The % dry weight of MgCO3 in calcite of the juveniles was reduced from 10% at pH 8.05 to 8% at pH 7.65, but there was no effect of pH fluctuation. A wide range of fleshy macroalgae and at least 6 species of benthic diatoms recruited across all experimental treatments, from cryptic spores associated with the adult A. corymbosa. There was no effect of experimental treatment on the growth of the benthic diatoms. On the community level, pH-sensitive species may survive lower pH in the presence of diatoms and fleshy macroalgae, whose high metabolic activity may raise the pH of the local microhabitat.
    Keywords: Alkalinity, total; Alkalinity, total, standard error; Aragonite saturation state; Area; Area, standard error; Arthrocardia corymbosa; Benthos; Bicarbonate ion; Biogenic silica per chlorophyll a; Biogenic silica per chlorophyll a, standard error; 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; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Chlorophyll a/particulate organic carbon ratio; Chlorophyll a/particulate organic carbon ratio, standard error; Coast and continental shelf; Date; EXP; Experiment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Growth rate; Growth rate, standard error; Karitane; Laboratory experiment; Macroalgae; Magnesium carbonate, magnesite; Magnesium carbonate, magnesite, standard error; Number; Number, standard error; OA-ICC; Ocean Acidification International Coordination Centre; Other; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; pH, standard error; Plantae; Potentiometric; Potentiometric titration; Registration number of species; Rhodophyta; Salinity; Single species; South Pacific; Species; Temperate; Temperature, water; Treatment; Type; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 1488 data points
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  • 2
    Publication Date: 2024-03-15
    Description: In situ effects of ocean acidification are increasingly studied at submarine CO2 vents. Here we present a preliminary investigation into the water chemistry and biology of cool temperate CO2 vents near Whakaari–White Island, New Zealand. Water samples were collected inside three vent shafts, within vents at a distance of 2 m from the shaft and at control sites. Vent samples contained both seawater pH on the total scale (pHT) and carbonate saturation states that were severely reduced, creating conditions as predicted for beyond the year 2100. Vent samples showed lower salinities, higher temperatures and greater nutrient concentrations. Sulfide levels were elevated and mercury levels were at concentrations considered toxic at all vent and control sites, but stable organic and inorganic ligands were present, as deduced from Cu speciation data, potentially mediating harmful effects on local organisms. The biological investigations focused on phytoplankton, zooplankton and macroalgae. Interestingly, we found lower abundances but higher diversity of phytoplankton and zooplankton at sites in the direct vicinity of Whakaari. Follow-up studies will need a combination of methods and approaches to attribute observations to specific drivers. The Whakaari vents represent a unique ecosystem with considerable biogeochemical complexity, which, like many other vent systems globally, require care in their use as a model of 'future oceans'.
    Keywords: Alkalinity, total; Ammonium; Ammonium, standard deviation; 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; Cell density; CO2 vent; Coast and continental shelf; Community composition and diversity; Entire community; Equitability; Field measurement; Field observation; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Nitrogen oxide; Nitrogen oxide, standard deviation; Number of species; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; Phosphate; Phosphate, standard deviation; Salinity; Shannon Diversity Index; South Pacific; Station label; Temperate; Temperature, water; Type; Whakaari_White_Island
    Type: Dataset
    Format: text/tab-separated-values, 241 data points
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  • 3
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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
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  • 4
    Publication Date: 2024-04-25
    Keywords: Abies; Acer; AGE; Alisma; Allium-type; Alnus; Androsace; Apiaceae; Arctium; Armeria; Artemisia; Asteraceae; Betula; Brassicaceae; Callitriche; Campanulaceae; Cannabis; Capparis; Carpinus betulus; Carpinus orientalis; Carthamus-type; Carya; Caryophyllaceae; Castanea; Celtis; Centaurea cyanus; Centaurea jacea-type; Centhranthus; Cerastium; Ceratonia; Chenopodiaceae; Cichorioideae; Cirsium; Cistaceae; Convolvulus-type; Cornus; Corylus; Crassulaceae; Crepis-type; Cyperaceae; DEPTH, sediment/rock; Dianthus; Dipsacaceae; Echinops; Empetrum; Ephedra distachya; Ephedra fragilis; Epipogium; Ericaceae; Eriocaulon aquaticum; Euphorbiaceae; Euphrasia; Fabaceae; Fagus; Fraxinus; Fumana; Geranium; Gratiola; Greece; Hedera; Helianthemum; Helleborus; Herbs; Hippophae; Holocene; Hottonia; Humulus; Hydrocharis-type; Hypericum; Iuglans; Jasione montana-type; Juniperus; Lamiaceae; Lateglacial; Lemnaceae; Limonium; Linum alpinum-type; Liquidambar; Lysimachia; Lythrum hyssopifolia; Lythrum salicaria; Lythrum virgatum; Matricaria-type; Mentha; Menyanthes trifoliata; Mercurialis; Minuartia; Myrica; Myriophyllum; Myriophyllum spicatum; Myriophyllum verticillatum; Nuphar; Nympha-type; Olea; Ostrya; Oxalis; palaeoclimate; palynology; Papaver; Phillyrea; Phyteuma-type; Picea; Pimpinella saxifraga; Pinguicula; Pinus; Pistacia; Plantaginaceae; Plantago albicans; Plantago bellardi; Plantago coronopus-type; Plantago lanceolata-type; Plantago maritima-type; Plantago subulata; Plantago tenuiflora-type; Plantago varia; Platycarya; Pleistocene; Plumbaginaceae; Poaceae; Pollen; Pollen, dicolpate; Pollen indeterminata; Polycarpon; Polygonum aviculare; Populus; Potentilla-type; Precipitation, annual mean; Precipitation, annual mean, maximum; Precipitation, annual mean, minimum; Primulaceae; Pterocarya; Pulsatilla; Quercus deciduous; Quercus ilex-type; Ranunculaceae; Ranunculus; Rhamnus; Ribes; Rosaceae; Rubiaceae; Rumex-type; Salix; Sanguisorba officinalis; Sarcopoterium-type; Saussurea-type; Saxifragaceae; Scabiosa; Scleranthus; Scrophularia; Scrophulariaceae; SEDCO; Sediment corer; Senecio-type; Silene; Solanaceae; Soldanella-type; Sorbus; Sparganium-type; Spergula; Spergularia; Tamarix; Temperature, air, summer; Temperature, air, summer, maximum; Temperature, air, summer, minimum; Temperature, air, winter; Temperature, air, winter, maximum; Temperature, air, winter, minimum; Tenaghi Philippon; Tenaghi-Philippon_Phi2; Thalictrum; Tilia; Typha/Potamogeton; Ulmus/Zelkova; Urtica; Utricularia; Valeriana officinalis-type; Valerianella; Verbascum; Viburnum
    Type: Dataset
    Format: text/tab-separated-values, 23046 data points
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  • 5
    Publication Date: 2014-06-07
    Description: Prior to Cassini's arrival at Saturn, the nitrogen-rich dense atmosphere of Titan was considered a significant, if not dominant, source of heavy ions in Saturn's magnetosphere. While nitrogen was detected in Saturn's magnetosphere based on Cassini observations, Enceladus instead of Titan appears to be the primary source. However, it is difficult to imagine that Titan's dense atmosphere is not a source of nitrogen. In this paper, we apply the Rymer et al. (2009) Titan plasma environment categorization model to the plasma environment along Titan's orbit when Titan is not present. We next categorize the Titan encounters that occurred since Rymer et al. (2009). We also produce an empirical model for applying the probabilistic occurrence of each plasma environment as a function of Saturn Local Time (SLT). Finally, we summarized the electron energy spectra in order to allow one to calculate more accurate electron-impact interaction rates for each plasma environment category. The combination of this full categorization vs. SLT and empirical model for the electron spectrum are critical for understanding the magnetospheric plasma and will allow for more accurate modeling of the Titan plasma torus.
    Print ISSN: 0148-0227
    Topics: Geosciences , Physics
    Published by Wiley on behalf of American Geophysical Union (AGU).
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  • 6
    Publication Date: 2020-04-06
    Description: Marine bryozoans have been members of benthic skeletal faunas since the Ordovician. These small suspension feeders collect particles in the range of 10 to 100 μm. Specific details of their feeding depend on the morphology of the feeding apparatus, which may be reflected in skeletal characters. While several studies have described the link between the skeletal and soft-body traits of gymnolaemate bryozoans, stenolaemates have received less attention. To fill this gap, we conducted a detailed analysis of morphometry within and across species and attempted to develop robust predictive models that can be used to infer the soft-body morphology from skeletal data. This, in turn, will help with extracting data on ecology of Paleozoic communities of suspension feeders from the extensive bryozoan fossil record. Characters of polypide morphology among New Zealand cyclostomates (single Recent order in Stenolaemata) displayed staggering variability and almost without exception were not connected to skeletal characters at the species level. When this variability is reduced to its central tendency, interspecific trends are more apparent. The relationship is positive, linear, and moderately strong, but the resulting models have wide predictive intervals (plus/minus hundreds of micrometers). A precise estimate of the characters of the feeding apparatus of modern, and especially fossil, stenolaemates may be difficult to attain, at least on the basis of the skeletal traits used here.
    Print ISSN: 0094-8373
    Electronic ISSN: 0094-8373
    Topics: Geosciences
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  • 7
    Publication Date: 2013-03-29
    Print ISSN: 0025-3162
    Electronic ISSN: 1432-1793
    Topics: Biology
    Published by Springer
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  • 8
    Publication Date: 2019-09-09
    Print ISSN: 1867-1616
    Electronic ISSN: 1867-1624
    Topics: Biology
    Published by Springer
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  • 9
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