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  • 1
    Publication Date: 2023-03-14
    Keywords: Carbon, inorganic, dissolved; Carbon, organic, particulate; Carbon/Nitrogen ratio; Carbon dioxide, partial pressure; Chlorophyll a; CTD; Date/Time of event; DEPTH, water; Environment; Event label; Latitude of event; Longitude of event; LowpHOX-II; Lowphox-II_T3; Lowphox-II_T5; Nitrate; Nitrite; Nitrogen, organic, particulate; Oxygen, dissolved; pH; Phosphate; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 221 data points
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2023-03-06
    Description: These data are part of the LowpHOX-2 cruise off the northern coast of Chile investigating the distribution of intact polar lipids above, through, and below the oxygen minimum zone at two stations. We report intact polar lipid concentrations in addition to a number of water column chemistry parameters. Used in a manuscript under review at Frontiers in Marine Science.
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Limitation Availability
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  • 3
    Publication Date: 2023-03-06
    Keywords: Archaeol; CTD; Date/Time of event; DEPTH, water; Diacylglyceryl carboxyhydroxymethylcholine 16:0; Diacylglyceryl carboxyhydroxymethylcholine 17:0; Diacylglyceryl carboxyhydroxymethylcholine 19:0; Diacylglyceryl carboxyhydroxymethylcholine 21:0; Diacylglyceryl carboxyhydroxymethylcholine 22:4; Diacylglyceryl carboxyhydroxymethylcholine 23:0; Diacylglyceryl carboxyhydroxymethylcholine 23:1; Diacylglyceryl carboxyhydroxymethylcholine 23:6; Diacylglyceryl carboxyhydroxymethylcholine 24:2; Diacylglyceryl carboxyhydroxymethylcholine 26:0; Diacylglyceryl carboxyhydroxymethylcholine 27:0; Diacylglyceryl carboxyhydroxymethylcholine 28:0; Diacylglyceryl carboxyhydroxymethylcholine 29:0; Diacylglyceryl carboxyhydroxymethylcholine 30:0; Diacylglyceryl carboxyhydroxymethylcholine 31:1; Diacylglyceryl carboxyhydroxymethylcholine 32:0; Diacylglyceryl carboxyhydroxymethylcholine 33:0; Diacylglyceryl carboxyhydroxymethylcholine 36:6; Diacylglyceryl carboxyhydroxymethylcholine 38:6; Diacylglyceryl hydroxymethyl-trimethyl-beta-alanine 19:0; Diacylglyceryl hydroxymethyl-trimethyl-beta-alanine 24:0; Diacylglyceryl hydroxymethyl-trimethyl-beta-alanine 25:0; Diacylglyceryl hydroxymethyl-trimethyl-beta-alanine 26:0; Diacylglyceryl hydroxymethyl-trimethyl-beta-alanine 28:0; Diacylglyceryl hydroxymethyl-trimethyl-beta-alanine 29:0; Diacylglyceryl hydroxymethyl-trimethyl-beta-alanine 30:0; Diacylglyceryl hydroxymethyl-trimethyl-beta-alanine 30:1; Diacylglyceryl hydroxymethyl-trimethyl-beta-alanine 32:1; Diacylglyceryl hydroxymethyl-trimethyl-beta-alanine 32:2; Diacylglyceryl hydroxymethyl-trimethyl-beta-alanine 33:1; Diacylglyceryl hydroxymethyl-trimethyl-beta-alanine 34:1; Diacylglyceryl hydroxymethyl-trimethyl-beta-alanine 34:2; Diacylglyceryl hydroxymethyl-trimethyl-beta-alanine 34:4; Diacylglyceryl hydroxymethyl-trimethyl-beta-alanine 34:5; Diacylglyceryl hydroxymethyl-trimethyl-beta-alanine 35:1; Diacylglyceryl hydroxymethyl-trimethyl-beta-alanine 36:2; Diacylglyceryl hydroxymethyl-trimethyl-beta-alanine 36:6; Diacylglyceryl hydroxymethyl-trimethyl-beta-alanine 38:0; Diacylglyceryl hydroxymethyl-trimethyl-beta-alanine 38:5; Diacylglyceryl hydroxymethyl-trimethyl-beta-alanine 39:0; Diacylglyceryl hydroxymethyl-trimethyl-beta-alanine 40:10; Diacylglyceryl hydroxymethyl-trimethyl-beta-alanine 42:11; Diacylglyceryl hydroxymethyl-trimethyl-beta-alanine 44:11; Diacylglyceryl hydroxymethyl-trimethyl-beta-alanine 44:12; Diacylglyceryl trimethylhomoserine 25:0; Diacylglyceryl trimethylhomoserine 26:0; Diacylglyceryl trimethylhomoserine 26:2; Diacylglyceryl trimethylhomoserine 27:0; Diacylglyceryl trimethylhomoserine 28:0; Diacylglyceryl trimethylhomoserine 28:1; Diacylglyceryl trimethylhomoserine 29:0; Diacylglyceryl trimethylhomoserine 29:1; Diacylglyceryl trimethylhomoserine 30:0; Diacylglyceryl trimethylhomoserine 30:1; Diacylglyceryl trimethylhomoserine 31:0; Diacylglyceryl trimethylhomoserine 31:1; Diacylglyceryl trimethylhomoserine 32:0; Diacylglyceryl trimethylhomoserine 32:1; Diacylglyceryl trimethylhomoserine 32:2; Diacylglyceryl trimethylhomoserine 32:3; Diacylglyceryl trimethylhomoserine 32:4; Diacylglyceryl trimethylhomoserine 33:0; Diacylglyceryl trimethylhomoserine 33:1; Diacylglyceryl trimethylhomoserine 34:0; Diacylglyceryl trimethylhomoserine 34:1; Diacylglyceryl trimethylhomoserine 34:2; Diacylglyceryl trimethylhomoserine 34:3; Diacylglyceryl trimethylhomoserine 34:4; Diacylglyceryl trimethylhomoserine 34:5; Diacylglyceryl trimethylhomoserine 34:6; Diacylglyceryl trimethylhomoserine 34:8; Diacylglyceryl trimethylhomoserine 35:0; Diacylglyceryl trimethylhomoserine 35:1; Diacylglyceryl trimethylhomoserine 36:2; Diacylglyceryl trimethylhomoserine 36:3; Diacylglyceryl trimethylhomoserine 36:4; Diacylglyceryl trimethylhomoserine 36:5; Diacylglyceryl trimethylhomoserine 36:6; Diacylglyceryl trimethylhomoserine 37:1; Diacylglyceryl trimethylhomoserine 37:2; Diacylglyceryl trimethylhomoserine 37:5; Diacylglyceryl trimethylhomoserine 37:6; Diacylglyceryl trimethylhomoserine 38:0; Diacylglyceryl trimethylhomoserine 38:1; Diacylglyceryl trimethylhomoserine 39:1; Diacylglyceryl trimethylhomoserine 40:1; Diacylglyceryl trimethylhomoserine OH-34:1; Digalactosyldiacylglycerol 28:0; Digalactosyldiacylglycerol 30:0; Digalactosyldiacylglycerol 30:2; Digalactosyldiacylglycerol 31:1; Digalactosyldiacylglycerol 32:0; Digalactosyldiacylglycerol 32:1; Digalactosyldiacylglycerol 32:2; Digalactosyldiacylglycerol 32:4; Digalactosyldiacylglycerol 32:5; Digalactosyldiacylglycerol 32:6; Digalactosyldiacylglycerol 34:0; Digalactosyldiacylglycerol 34:1; Digalactosyldiacylglycerol 34:2; Digalactosyldiacylglycerol 34:3; Digalactosyldiacylglycerol 34:4; Digalactosyldiacylglycerol 34:6; Digalactosyldiacylglycerol 34:7; Digalactosyldiacylglycerol 35:3; Digalactosyldiacylglycerol 36:0; Diglycosyl dietherglyceride 36:4; Diglycosyl dietherglyceride 37:5; Environment; Event label; Latitude of event; Longitude of event; LowpHOX-II; Lowphox-II_T3; Lowphox-II_T5; Monogalactosyldiacylglycerol 24:0; Monogalactosyldiacylglycerol 27:2; Monogalactosyldiacylglycerol 28:0; Monogalactosyldiacylglycerol 28:1; Monogalactosyldiacylglycerol 30:0; Monogalactosyldiacylglycerol 30:1; Monogalactosyldiacylglycerol 30:2; Monogalactosyldiacylglycerol 30:3; Monogalactosyldiacylglycerol 31:0; Monogalactosyldiacylglycerol 31:1; Monogalactosyldiacylglycerol 32:0; Monogalactosyldiacylglycerol 32:1; Monogalactosyldiacylglycerol 32:2; Monogalactosyldiacylglycerol 33:0; Monogalactosyldiacylglycerol 34:0; Monogalactosyldiacylglycerol 34:1; Monogalactosyldiacylglycerol 34:7; Monogalactosyldiacylglycerol 36:0; Monogalactosyldiacylglycerol 36:10; Monogalactosyldiacylglycerol 36:5; Monogalactosyldiacylglycerol 39:5; Monoglycosyl archaeol; Monoglycosyl ceramide 22:2; Monoglycosyl ceramide 25:6; Monoglycosyl ceramide 29:4; Monoglycosyl ceramide 31:4; Monoglycosyl ceramide 36:1; Monoglycosyl ceramide 37:4; Monoglycosyl ceramide 38:4; Monoglycosyl glyceroldialkylglyceroltetraether 0; Monoglycosyl glyceroldialkylglyceroltetraether 4; Monoglycosyl glyceroldialkylglyceroltetraether 5; Ornithine lipid 33:0; Ornithine lipid 33:1; Ornithine lipid 34:0; Ornithine lipid 35:1; Ornithine lipid 35:6; Ornithine lipid 36:1; Ornithine lipid 36:6; Ornithine lipid 37:1; Ornithine lipid 38:1; Ornithine lipid 38:6; Phosphatidylcholinediacylglycerol 24:0; Phosphatidylcholinediacylglycerol 26:0; Phosphatidylcholinediacylglycerol 27:0; Phosphatidylcholinediacylglycerol 28:0; Phosphatidylcholinediacylglycerol 29:0; Phosphatidylcholinediacylglycerol 29:1; Phosphatidylcholinediacylglycerol 29:2; Phosphatidylcholinediacylglycerol 30:0; Phosphatidylcholinediacylglycerol 30:1; Phosphatidylcholinediacylglycerol 30:2; Phosphatidylcholinediacylglycerol 31:0; Phosphatidylcholinediacylglycerol 31:1; Phosphatidylcholinediacylglycerol 31:2; Phosphatidylcholinediacylglycerol 32:0; Phosphatidylcholinediacylglycerol 32:1; Phosphatidylcholinediacylglycerol 32:2; Phosphatidylcholinediacylglycerol 32:6; Phosphatidylcholinediacylglycerol 33:0; Phosphatidylcholinediacylglycerol 33:1; Phosphatidylcholinediacylglycerol 33:2; Phosphatidylcholinediacylglycerol 33:5; Phosphatidylcholinediacylglycerol 33:6; Phosphatidylcholinediacylglycerol 34:1; Phosphatidylcholinediacylglycerol 34:4; Phosphatidylcholinediacylglycerol 35:0; Phosphatidylcholinediacylglycerol 35:1; Phosphatidylcholinediacylglycerol 36:1; Phosphatidylcholinediacylglycerol 36:10; Phosphatidylcholinediacylglycerol 36:3; Phosphatidylcholinediacylglycerol 36:5; Phosphatidylcholinediacylglycerol 37:6; Phosphatidylcholinediacylglycerol 38:1; Phosphatidylcholinediacylglycerol 38:2; Phosphatidylcholinediacylglycerol 38:5; Phosphatidylcholinediacylglycerol 38:6; Phosphatidylcholinediacylglycerol 39:5; Phosphatidylcholinediacylglycerol 40:10; Phosphatidylcholinediacylglycerol 40:9; Phosphatidylcholinediacylglycerol 42:0; Phosphatidylcholinediacylglycerol 42:11; Phosphatidylcholinediacylglycerol 44:12;
    Type: Dataset
    Format: text/tab-separated-values, 3223 data points
    Location Call Number Limitation Availability
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  • 4
    Publication Date: 2024-03-15
    Description: The interplay of coastal oceanographic processes usually results in partial pressures of CO2 (pCO2) higher than expected from the equilibrium with the atmosphere and even higher than those expected by the end of the century. Although this is a well-known situation, the natural variability of seawater chemistry at the locations from which tested organisms or communities originate is seldom considered in ocean acidification experiments. In this work, we aimed to evaluate the role of the carbonate chemistry dynamics in shaping the response of coastal phytoplankton communities to increased pCO2 levels. The study was conducted at two coastal ecosystems off Chile, the Valdivia River estuary and the coastal upwelling ecosystem in the Arauco Gulf. We characterized the seasonal variability (winter/summer) of the hydrographic conditions, the carbonate system parameters, and the phytoplankton community structure at both sites. The results showed that carbonate chemistry dynamics in the estuary were mainly related to seasonal changes in freshwater discharges, with acidic and corrosive conditions dominating in winter. In the Arauco Gulf, these conditions were observed in summer, mainly associated with the upwelling of cold and high pCO2 (〉1,000 μatm) waters. Diatoms dominated the phytoplankton communities at both sites, yet the one in Valdivia was more diverse. Only certain phytoplankton groups in this latter ecosystem showed a significant correlations with the carbonate system parameters. When the impact of elevated pCO2 levels was investigated by pCO2 manipulation experiments, we did not observe any significant effect on the biomass of either of the two communities. Changes in the phytoplankton species composition and abundance during the incubations were related to other factors, such as competition and growth phases. Our findings highlight the importance of the natural variability of coastal ecosystems and the potential for local adaptation in determining responses of coastal phytoplankton communities to increased pCO2 levels.
    Keywords: Abundance; Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Aragonite saturation state, standard deviation; Arauco_Gulf; Bicarbonate ion; Bicarbonate ion, standard deviation; Biomass/Abundance/Elemental composition; Calcite saturation state; Calcite saturation state, standard deviation; Calculated using seacarb after Nisumaa et al. (2010); Calculated using seacarb after Orr et al. (2018); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate ion, standard deviation; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, standard deviation; Cell density; Cell density, standard deviation; Chlorophyll a; Chlorophyll a, standard deviation; Coast and continental shelf; Community composition and diversity; Containers and aquaria (20-1000 L or 〈 1 m**2); Day of experiment; Entire community; Event label; EXP; Experiment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Fugacity of carbon dioxide in seawater, standard deviation; Laboratory experiment; Location; Nitrogen/Phosphorus ratio; Nitrogen/Phosphorus ratio, standard deviation; 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; Replicates; Salinity; Silicon/Nitrogen, molar ratio; Silicon/Nitrogen ratio, standard deviation; South Pacific; Temperate; Temperature, water; Treatment; Type; Valdivia_estuary
    Type: Dataset
    Format: text/tab-separated-values, 1224 data points
    Location Call Number Limitation Availability
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  • 5
    Publication Date: 2024-03-15
    Description: The vertical distribution of phytoplankton is of fundamental importance in the structure, dynamic, and biogeochemical pathways in marine ecosystems. Nevertheless, what are the main factors determining this distribution remains as an open question. Here, we evaluated the relative influence of environmental factors that might control the coexistence and vertical distribution of pico-nanoplankton associated with the OMZ off northern Chile. Our results showed that in the upper layer Synechococcus-like cells were numerically important at all sampling stations. Pico-nano eukaryotes and phototrophic nanoflagellates (PNF) also showed high abundances in the upper layer decreasing in abundance down to the upper oxycline, while only Prochlorococcus showed high abundances under oxycline and within the oxygen-depleted layer. Statistical analyses evidenced that temperature, oxygen, and carbonate chemistry parameters (pH and dissolved inorganic carbon, DIC) influenced significantly the vertical distribution of phototrophic pico-nanoplankton. Additionally, we experimentally-evaluated the combined effect of low pH/low O2 conditions on a nanophytoplankton species, the haptophyte Imantonia sp. Under control conditions (pH = 8.1; O2 = 287.5 μM, light = 169.6 μEm−2s−1), Imantonia sp. in vivo fluorescence increased over fifty times, inducing supersaturated O2 conditions (900 μM) and an increasing pH (8.5), whereas upon an experimental treatment mimicking OMZ conditions (pH = 7.5; O2 = 55.6 μM; light = 169.6 μEm−2s−1), in vivo fluorescence declined dramatically, suggesting that Imantonia sp. did not survive. Although preliminary, our study provides evidence about the role of low pH/low O2 conditions on the vertical distribution of nanophytoplankton, which deserve future attention through both fieldwork and more extended experimental experiences.
    Keywords: Alkalinity, total; 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; Chromista; Coast and continental shelf; Containers and aquaria (20-1000 L or 〈 1 m**2); DATE/TIME; Eastern_tropical_south_Pacific; EXP; Experiment; Fluorescence; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Haptophyta; Imantonia sp.; Laboratory experiment; OA-ICC; Ocean Acidification International Coordination Centre; Oxygen; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; Phytoplankton; Primary production/Photosynthesis; Replicate; Salinity; Single species; South Pacific; Temperate; Temperature, water; Time point, descriptive; Treatment; Type
    Type: Dataset
    Format: text/tab-separated-values, 336 data points
    Location Call Number Limitation Availability
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  • 6
    Publication Date: 2024-03-15
    Description: Climate change is expected to exacerbate upwelling intensity and natural acidification in Eastern Boundaries Upwelling Systems (EBUS). Conducted between January-September 2015 in a nearshore site of the northern Humboldt Current System directly exposed to year-round upwelling episodes, this study was aimed at assessing the relationship between upwelling mediated pH-changes and functional traits of the numerically dominant planktonic copepod-grazer Acartia tonsa (Copepoda). Environmental temperature, salinity, oxygen, pH, alkalinity, chlorophyll-a (Chl), copepod adult size, egg production (EP), and egg size and growth were assessed through 28 random oceanographic surveys. Agglomerative clustering and multidimensional scaling identified three main di-similitude nodes within temporal variability of abiotic and biotic variables: A) “upwelling”, B) “non-upwelling”, and C) “warm-acid” conditions. Nodes A and B represented typical features within the upwelling phenology, characterized by the transition from low temperature, oxygen, pH and Chl during upwelling to higher levels during non-upwelling conditions. However, well-oxygenated, saline and “warm-acid” node C seemed to be atypical for local climatology, suggesting the occurrence of a low frequency oceanographic perturbation. Multivariate (LDA and ANCOVA) analyses revealed upwelling through temperature, oxygen and pH were the main factors affecting variations in adult size and EP, and highlighted growth rates were significantly lower under node C. Likely buffering upwelling pH-reductions, phytoplankton biomass maintained copepod reproduction despite prevailing low temperature, oxygen and pH levels in the upwelling setting. Helping to better explain why this species is among the most recurrent ones in these variable yet productive upwelling areas, current findings also provide opportune cues on plankton responses under warm-acid conditions, which are expected to occur in productive EBUS as a consequence of climate perturbations.
    Keywords: Acartia tonsa; Alkalinity, total; Animalia; Antofagasta_OA; Aragonite saturation state; Arthropoda; Bicarbonate ion; Body size; Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Chlorophyll total; Coast and continental shelf; DATE/TIME; DEPTH, water; Egg production rate per female; Egg size; EXP; Experiment; Field observation; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Growth rate; OA-ICC; Ocean Acidification International Coordination Centre; Oxygen, dissolved; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; Potentiometric; Potentiometric titration; Registration number of species; Reproduction; Salinity; Single species; South Pacific; Species; Temperate; Temperature, water; Type; Uniform resource locator/link to reference; Upwelling; Zooplankton
    Type: Dataset
    Format: text/tab-separated-values, 2004 data points
    Location Call Number Limitation Availability
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  • 7
    Publication Date: 2024-03-15
    Description: The effect of CO2-driven ocean acidification (OA) on marine biota has been extensively studied mostly on a single stage of the life cycle. However, the cumulative and population-level response to this global stressor may be biased due to transgenerational effects and their impacts on physiological plasticity. In this study, we exposed adult mussels Mytilus chilensis undergoing gametogenesis to two pCO2 levels (550 and 1200 μatm) for 16 weeks, aiming to understand if prolonged exposure of reproductive individuals to OA can affect the performance of their offspring, which, in turn, were reared under multiple stressors (pCO2, temperature, and dissolved cadmium). Our results indicate dependence between the level of pCO2 of the broodstock (i.e., parental effect) and the performance of larval stages in terms of growth and physiological rates, as a single effect of temperature. While main effects of pCO2 and cadmium were observed for larval growth and ingestion rates, respectively, the combined exposure to stressors had antagonistic effects. Moreover, we found a suppression of feeding activity in post-spawning broodstock upon high pCO2 conditions. Nevertheless, this observation was not reflected in the final weight of the broodstock and oocyte diameter. Due to the ecological and socioeconomic importance of mussels' species around the globe, the potential implications of maternal effects for the physiology, survival, and recruitment of larvae under combined global-change stressors warrant further investigation.
    Keywords: Alkalinity, total; Animalia; Aragonite saturation state; Aragonite saturation state, standard deviation; Behaviour; Benthic animals; Benthos; Bicarbonate ion; Bottles or small containers/Aquaria (〈20 L); Cadmium; Calcite saturation state; Calcite saturation state, standard deviation; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate ion, standard deviation; Carbonate system computation flag; Carbon dioxide; Coast and continental shelf; EXP; Experiment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Ingestion rate of chlorophyll a per day per individual; Inorganic toxins; Laboratory experiment; Mass; Mollusca; Mytilus chilensis; OA-ICC; Ocean Acidification International Coordination Centre; Oocyte, diameter; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; pH, standard deviation; Potentiometric; Potentiometric titration; Registration number of species; Salinity; Shell length; Single species; South Pacific; Species; Temperate; Temperature, water; Tissue, mass; Type; Uniform resource locator/link to reference; Vilupulli_OA; Zooplankton
    Type: Dataset
    Format: text/tab-separated-values, 90425 data points
    Location Call Number Limitation Availability
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  • 8
    Publication Date: 2024-03-15
    Description: We present experimental data obtained from an experiment with newly hatched veliger larvae of the gastropod Concholepas concholepas exposed to three pCO2 levels. Egg capsules were collected from two locations in northern and central Chile, and then incubated throughout their entire intra-capsular life cycle at three nominal pCO2 levels, 400, 700 and 1000 ppm (i.e. corresponding to 8.0, 7.8 and 7.6 pH units, respectively). Hatched larvae were fed with natural food assemblages. Food availability at time zero did not vary significantly with pCO2 level. Our results clearly showed a significant effect of elevated pCO2 on the intensity of larval feeding, which dropped by 〉60%. Incubation also showed that pCO2-driven ocean acidification (OA) may radically impact the selectivity of ingested food by C. concholepas larvae. Results also showed that larvae switched their clearance rate based on large cells, such as diatoms and dinoflagellates to tiny and highly abundant nanoflagellates and cyanobacteria as pCO2 levels increased. Thus, this study reveals the important effect of low pH conditions on larval feeding behavior, in terms of both ingestion magnitude and selectivity. These findings support the notion that larval feeding is a key physiological process susceptible to the effects of OA.
    Keywords: Alkalinity, total; Alkalinity, total, standard error; Animalia; Aragonite saturation state; Aragonite saturation state, standard error; Behaviour; Bicarbonate ion; Biomass; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Calfuco; Carbon, inorganic, dissolved; Carbonate ion; Carbonate ion, standard error; Carbonate system computation flag; Carbon dioxide; Clearance rate per individual; Coast and continental shelf; Concholepas concholepas; Event label; EXP; Experiment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Ingestion rate; Ingestion rate of carbon per day per individual; Laboratory experiment; Las_Cruces; Mollusca; North Pacific; 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; Pelagos; Percentage; pH; pH, standard error; Potentiometric; Potentiometric titration; Prey taxa; Replicates; Salinity; Salinity, standard error; Season; Single species; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Temperate; Temperature, water; Temperature, water, standard error; Type; Zooplankton
    Type: Dataset
    Format: text/tab-separated-values, 9396 data points
    Location Call Number Limitation Availability
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  • 9
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    Unknown
    PANGAEA
    In:  Supplement to: Navarro, Jorge M; Torres, Rodrigo; Acuña, Karin; Duarte, Cristian; Manríquez, Patricio H; Lardies, Marco A; Lagos, Nelson A; Vargas, Cristian A; Aguilera, Victor M (2013): Impact of medium-term exposure to elevated pCO2 levels on the physiological energetics of the mussel Mytilus chilensis. Chemosphere, 90(3), 1242-1248, https://doi.org/10.1016/j.chemosphere.2012.09.063
    Publication Date: 2024-03-15
    Description: This study evaluated the impact of medium-term exposure to elevated pCO2 levels (750-1200 ppm) on the physiological processes of juvenile Mytilus chilensis mussels over a period of 70 d in a mesocosm system. Three equilibration tanks filled with filtered seawater were adjusted to three pCO2 levels: 380 (control), 750 and 1200 ppm by bubbling air or an air-CO2 mixture through the water. For the control, atmospheric air (with aprox. 380 ppm CO2) was bubbled into the tank; for the 750 and 1200 ppm treatments, dry air and pure CO2 were blended to each target concentration using mass flow controllers for air and CO2. No impact on feeding activity was observed at the beginning of the experiment, but a significant reduction in clearance rate was observed after 35 d of exposure to highly acidified seawater. Absorption rate and absorption efficiency were reduced at high pCO2 levels. In addition, oxygen uptake fell significantly under these conditions, indicating a metabolic depression. These physiological responses of the mussels resulted in a significant reduction of energy available for growth (scope for growth) with important consequences for the aquaculture of this species during medium-term exposure to acid conditions. The results of this study clearly indicate that high pCO2 levels in the seawater have a negative effect on the health of M. chilensis. Therefore, the predicted acidification of seawater associated with global climate change could be harmful to this ecologically and commercially important mussel.
    Keywords: Absorption efficiency; Absorption efficiency, standard error; Absorption rate; Absorption rate, standard error; Alkalinity, total; Alkalinity, total, standard error; Ammonia excretion, standard error; Ammonia excretion per individual; Animalia; Aragonite saturation state; Aragonite saturation state, standard error; Behaviour; Benthic animals; Benthos; Bicarbonate ion; Calcite saturation state; Calcite saturation state, standard error; Calculated; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate ion, standard error; Carbonate system computation flag; Carbon dioxide; Clearance rate, standard error; Clearance rate per individual; Coast and continental shelf; Containers and aquaria (20-1000 L or 〈 1 m**2); EXP; Experiment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Ingestion rate; Ingestion rate, standard error; Laboratory experiment; Mollusca; Mytilus chilensis; OA-ICC; Ocean Acidification International Coordination Centre; Other metabolic rates; 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; Potentiometric; Potentiometric titration; Respiration; Respiration rate, oxygen, per individual; Respiration rate, oxygen, standard error; Salinity; Salinity, standard error; Scope for growth; Scope for growth, standard error; Single species; South Pacific; Species; Temperate; Temperature, water; Temperature, water, standard error; Treatment; Yaldad_Bay
    Type: Dataset
    Format: text/tab-separated-values, 132 data points
    Location Call Number Limitation Availability
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  • 10
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Lagos, Nelson A; Benítez, Samanta; Duarte, Cristian; Lardies, Marco A; Broitman, Bernardo R; Tapia, Christian; Tapia, Pamela; Widdicombe, Steve; Vargas, Cristian A (2016): Effects of temperature and ocean acidification on shell characteristics of Argopecten purpuratus: implications for scallop aquaculture in an upwelling-influenced area. Aquaculture Environment Interactions, 8, 357-370, https://doi.org/10.3354/aei00183
    Publication Date: 2024-03-15
    Description: Coastal upwelling regions already constitute hot spots of ocean acidification as naturally acidified waters are brought to the surface. This effect could be exacerbated by ocean acidification and warming, both caused by rising concentrations of atmospheric CO2. Along the Chilean coast, upwelling supports highly productive fisheries and aquaculture activities. However, during recent years, there has been a documented decline in the national production of the native scallop Argopecten purpuratus. We assessed the combined effects of temperature and pCO2-driven ocean acidification on the growth rates and shell characteristics of this species farmed under the natural influence of upwelling waters occurring in northern Chile (30°S, Tongoy Bay). The experimental scenario representing current conditions (14 °C, pH 8.0) were typical of natural values recorded in Tongoy Bay, whilst conditions representing the low pH scenario were typical of an adjacent upwelling area (pH 7.6). Shell thickness, weight, and biomass were reduced under low pH (pH 7.7) and increased temperature (18 °C) conditions. At ambient temperature (14 °C) and low pH, scallops showed increased shell dissolution and low growth rates. However, elevated temperatures ameliorated the impacts of low pH, as evidenced by growth rates in both pH treatments at the higher temperature treatment that were not significantly different from the control treatment. The impact of low pH at current temperature on scallop growth suggests that the upwelling could increase the time required for scallops to reach marketable size. Mortality of farmed scallops is discussed in relation to our observations of multiple environmental stressors in this upwelling-influenced area.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Animalia; Aragonite saturation state; Aragonite saturation state, standard deviation; Argopecten purpuratus; Benthic animals; Benthos; Bicarbonate ion; Biomass, standard error; Biomass, wet mass; Bottles or small containers/Aquaria (〈20 L); Calcification/Dissolution; Calcification rate; Calcification rate, standard error; Calcite saturation state; Calcite saturation state, standard deviation; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate ion, standard deviation; Carbonate system computation flag; Carbon dioxide; Coast and continental shelf; Dissolution rate; Dissolution rate, standard error; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Growth rate; Growth rate, standard error; Laboratory experiment; Mollusca; 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); pH; pH, standard deviation; Potentiometric; Potentiometric titration; Registration number of species; Salinity; Salinity, standard deviation; Shell, dry mass; Shell, mass, standard error; Shell thickness; Single species; South Atlantic; Species; Temperate; Temperature; Temperature, water; Temperature, water, standard deviation; Thickness, standard error; Type; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 184 data points
    Location Call Number Limitation Availability
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