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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)
  • AWI Arctic Land Expedition; CA-Land_2016_TrailValleyCreek; File content; File format; File name; File size; MULT; Multiple investigations; Northwest Territories, Canada; PermaSAR; PermaSAR: Development of a Method to Detect Subsidence by Means of D-InSAR in Permafrost Regions; Trail_Valley_Creek_2016-1; Uniform resource locator/link to file  (1)
  • PANGAEA  (2)
  • EDP Sciences
  • 2015-2019  (2)
  • 1950-1954
Collection
Keywords
Publisher
  • PANGAEA  (2)
  • EDP Sciences
Years
  • 2015-2019  (2)
  • 1950-1954
Year
  • 1
    Publication Date: 2023-07-24
    Description: The datasets were acquired at the Arctic tundra site of Trail Valley Creek (TVC), Northwest Territories, Canada, which is underlain by continuous permafrost. With the objective to quantify thaw/freeze dynamics of the ground over time, the two study sites (about 50x50 m each) were repeatedly captured in June 2015, August 2015, and August 2016 by terrestrial laser scanning (TLS) and by Real-Time Kinematic (RTK) Global Navigation Satellite System (GNSS) measurements. Additionally, 24 fiberglass poles were anchored deep in the permafrost and, therefore, assumed to be motionless. With these poles, surface displacement was estimated by measuring repeatedly the distance between ground surface and the top of the poles in June 2015, August 2015, July 2016, August 2016 and June 2017. Furthermore, thaw depths were measured around each fiberglass pole. Additionally, one-time GNSS measurements of the ground surface elevation were acquired at a number of points outside of the two study sites.
    Keywords: AWI Arctic Land Expedition; CA-Land_2016_TrailValleyCreek; File content; File format; File name; File size; MULT; Multiple investigations; Northwest Territories, Canada; PermaSAR; PermaSAR: Development of a Method to Detect Subsidence by Means of D-InSAR in Permafrost Regions; Trail_Valley_Creek_2016-1; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 55 data points
    Location Call Number Expected Availability
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  • 2
    Publication Date: 2024-02-16
    Description: 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.
    Keywords: 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
    Type: Dataset
    Format: text/tab-separated-values, 629 data points
    Location Call Number Expected Availability
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