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  • 33RO20160505; 33RO20160524; Aragonite saturation state; Carbon dioxide, partial pressure; CTD/Rosette; CTD-RO; Date/Time of event; Elevation of event; Event label; Fluorescence; Latitude of event; Limacina helicina; Longitude of event; Oxygen; pH; Ronald H. Brown; Temperature, water; WCOA2016_100; WCOA2016_101; WCOA2016_102; WCOA2016_103; WCOA2016_104; WCOA2016_105; WCOA2016_106; WCOA2016_107; WCOA2016_108; WCOA2016_109; WCOA2016_110; WCOA2016_111; WCOA2016_112; WCOA2016_113; WCOA2016_114; WCOA2016_115; WCOA2016_116; WCOA2016_117; WCOA2016_118; WCOA2016_119; WCOA2016_120; WCOA2016_121; WCOA2016_122; WCOA2016_123; WCOA2016_124; WCOA2016_125; WCOA2016_126; WCOA2016_127; WCOA2016_128; WCOA2016_129; WCOA2016_130; WCOA2016_131; WCOA2016_132; WCOA2016_133; WCOA2016_134; WCOA2016_135; WCOA2016_42; WCOA2016_43; WCOA2016_44; WCOA2016_45; WCOA2016_46; WCOA2016_47; WCOA2016_48; WCOA2016_49; WCOA2016_50; WCOA2016_51; WCOA2016_52; WCOA2016_53; WCOA2016_54; WCOA2016_55; WCOA2016_56; WCOA2016_57; WCOA2016_58; WCOA2016_59; WCOA2016_60; WCOA2016_61; WCOA2016_62; WCOA2016_63; WCOA2016_64; WCOA2016_65; WCOA2016_66; WCOA2016_67; WCOA2016_68; WCOA2016_69; WCOA2016_70; WCOA2016_71; WCOA2016_72; WCOA2016_73; WCOA2016_74; WCOA2016_75; WCOA2016_76; WCOA2016_77; WCOA2016_78; WCOA2016_79; WCOA2016_80; WCOA2016_81; WCOA2016_82; WCOA2016_83; WCOA2016_84; WCOA2016_85; WCOA2016_86; WCOA2016_87; WCOA2016_88; WCOA2016_89; WCOA2016_90; WCOA2016_91; WCOA2016_92; WCOA2016_93; WCOA2016_94; WCOA2016_95; WCOA2016_96; WCOA2016_97; WCOA2016_98; WCOA2016_99; WCOA2016_Leg1; WCOA2016_Leg2  (1)
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  • 1
    Publikationsdatum: 2024-02-16
    Beschreibung: Understanding the interactive effects of multiple stressors on pelagic mollusks associated with global climate change is especially important in highly productive coastal ecosystems of the upwelling regime, such as the California Current System. Due to temporal overlap between an El Niño event and springtime intensification of the upwelling, pteropods of the California Current System were exposed to co-occurring increased temperature, low Ωar and pH, and deoxygenation. The variability in the natural gradients during NOAA's WCOA 2016 cruise provided a unique opportunity for synoptic study of chemical and biological interactions. We investigated the effects of in situ multiple drivers and their interactions across cellular, physiological, and population levels. Oxidative stress biomarkers were used to assess pteropods' cellular status and antioxidant defenses. OA stress induced significant activation of oxidative stress biomarkers, as indicated by increased levels of lipid peroxidation (LPX) but the antioxidative activity defense might be insufficient against cellular stress. Thermal stress in combination with low Ωar additively increases the level of LPX toxicity, while food availability (chorolophyll) can mediate the negative effect. On the physiological level, we found synergistic interaction between low Ωar and deoxygenation and thermal stress (Ωar: T, O2:T). Since this co-incides with the conditions in the natural settings, we can expect non-linear impact on physiological responses. On the population level, temperature was the main driver of abundance distribution, with low Ωar being a strong driver of secondary importance. The additive effects of thermal stress and low low Ωar on abundance suggest negative effect of El Niño at the population level. Our study clearly demonstrates Ωar and temperature are master variables in explaining biological responses, cautioning the use of a single parameter in the statistical analyses. Because pteropods contain high quantities of polyunsaturated fatty acids, oxidative stress causes LPX, resulting in the loss of lipid reserves and structural damage of cell membranes; corroborating pteropods' extreme sensitivity to OA. Accumulation of oxidative damage requires metabolic compensation, implying energetic trade-offs under combined thermal and OA stress. Oxidative stress biomarkers can be used as an early-warning signal of multiple stress on the cellular level, thereby providing important new insights into factors that set limits to species' tolerance of multiple drivers in the natural environment, especially when mechanistically linked though energetic implications.
    Schlagwort(e): 33RO20160505; 33RO20160524; Aragonite saturation state; Carbon dioxide, partial pressure; CTD/Rosette; CTD-RO; Date/Time of event; Elevation of event; Event label; Fluorescence; Latitude of event; Limacina helicina; Longitude of event; Oxygen; pH; Ronald H. Brown; Temperature, water; WCOA2016_100; WCOA2016_101; WCOA2016_102; WCOA2016_103; WCOA2016_104; WCOA2016_105; WCOA2016_106; WCOA2016_107; WCOA2016_108; WCOA2016_109; WCOA2016_110; WCOA2016_111; WCOA2016_112; WCOA2016_113; WCOA2016_114; WCOA2016_115; WCOA2016_116; WCOA2016_117; WCOA2016_118; WCOA2016_119; WCOA2016_120; WCOA2016_121; WCOA2016_122; WCOA2016_123; WCOA2016_124; WCOA2016_125; WCOA2016_126; WCOA2016_127; WCOA2016_128; WCOA2016_129; WCOA2016_130; WCOA2016_131; WCOA2016_132; WCOA2016_133; WCOA2016_134; WCOA2016_135; WCOA2016_42; WCOA2016_43; WCOA2016_44; WCOA2016_45; WCOA2016_46; WCOA2016_47; WCOA2016_48; WCOA2016_49; WCOA2016_50; WCOA2016_51; WCOA2016_52; WCOA2016_53; WCOA2016_54; WCOA2016_55; WCOA2016_56; WCOA2016_57; WCOA2016_58; WCOA2016_59; WCOA2016_60; WCOA2016_61; WCOA2016_62; WCOA2016_63; WCOA2016_64; WCOA2016_65; WCOA2016_66; WCOA2016_67; WCOA2016_68; WCOA2016_69; WCOA2016_70; WCOA2016_71; WCOA2016_72; WCOA2016_73; WCOA2016_74; WCOA2016_75; WCOA2016_76; WCOA2016_77; WCOA2016_78; WCOA2016_79; WCOA2016_80; WCOA2016_81; WCOA2016_82; WCOA2016_83; WCOA2016_84; WCOA2016_85; WCOA2016_86; WCOA2016_87; WCOA2016_88; WCOA2016_89; WCOA2016_90; WCOA2016_91; WCOA2016_92; WCOA2016_93; WCOA2016_94; WCOA2016_95; WCOA2016_96; WCOA2016_97; WCOA2016_98; WCOA2016_99; WCOA2016_Leg1; WCOA2016_Leg2
    Materialart: Dataset
    Format: text/tab-separated-values, 629 data points
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