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  • 1
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Bode, Antonio; Alvarez-Ossorio, María Teresa; Miranda, Ana; Ruiz-Villarreal, Manuel (2013): Shifts between gelatinous and crustacean plankton in a coastal upwelling region. ICES Journal of Marine Science, 1-9, https://doi.org/10.1093/icesjms/fss193
    Publication Date: 2024-02-16
    Description: Zooplankton was sampled by project RADIALES at Vigo (E3VI) and A Coruña (E2CO) between 1994 and 2006. Samples were collected using 50-cm diameter Juday-Bogorov (A Coruña) or 40-cm diameter bongo plankton nets (Vigo) equipped with 200-µm mesh size. Tows were double oblique from surface to near bottom (90 and 70 m in Vigo and A Coruña, respectively). All samples were collected between 10:00 and 14:00 o'clock (local time). Samples were preserved in 2-4% sodium borate-buffered formaldehyde. For the purpose of this study, the original coastal time series were categorized in copepods representative of crustacean zooplankton) and gelatinous plankton (medusae and tunicates). Medusae included Hydrozoans and Scyphozoa, and tunicates included salps, pyrosomes, doliolids, and appendicularia. Plankton identification and counts were performed by Ana Miranda and M. Teresa Álvarez-Ossorio for samples from Vigo and A Coruña, respectively. Different trends were found for gelatinous plankton in the two coastal sites, characterized by increases in either medusae or tunicates. Multiyear periods of relative dominance of gelatinous vs. copepod plankton were evident. In general, copepod periods were observed in positive phases of the main modes of regional climatic variability. Conversely, gelatinous periods occurred during negative climatic phases. However, the low correlations between gelatinous plankton and either climatic, oceanographic, or fishery variables suggest that local factors play a major role in their proliferations.
    Keywords: Basin Scale Analysis, Synthesis and Integration; BONGO; Bongo net; Copepoda; Date/Time of event; Depth, bottom/max; Depth, top/min; DEPTH, water; E2CO-1; E2CO-10; E2CO-100; E2CO-101; E2CO-102; E2CO-103; E2CO-104; E2CO-105; E2CO-106; E2CO-107; E2CO-108; E2CO-109; E2CO-11; E2CO-110; E2CO-111; E2CO-112; E2CO-113; E2CO-114; E2CO-115; E2CO-116; E2CO-117; E2CO-118; E2CO-119; E2CO-12; E2CO-120; E2CO-121; E2CO-122; E2CO-123; E2CO-124; E2CO-125; E2CO-126; E2CO-127; E2CO-128; E2CO-129; E2CO-13; E2CO-130; E2CO-131; E2CO-132; E2CO-133; E2CO-134; E2CO-135; E2CO-136; E2CO-137; E2CO-138; E2CO-139; E2CO-14; E2CO-140; E2CO-141; E2CO-142; E2CO-143; E2CO-15; E2CO-16; E2CO-17; E2CO-18; E2CO-19; E2CO-2; E2CO-20; E2CO-21; E2CO-22; E2CO-23; E2CO-24; E2CO-25; E2CO-26; E2CO-27; E2CO-28; E2CO-29; E2CO-3; E2CO-30; E2CO-31; E2CO-32; E2CO-33; E2CO-34; E2CO-35; E2CO-36; E2CO-37; E2CO-38; E2CO-39; E2CO-4; E2CO-40; E2CO-41; E2CO-42; E2CO-43; E2CO-44; E2CO-45; E2CO-46; E2CO-47; E2CO-48; E2CO-49; E2CO-5; E2CO-50; E2CO-51; E2CO-52; E2CO-53; E2CO-54; E2CO-55; E2CO-56; E2CO-57; E2CO-58; E2CO-59; E2CO-6; E2CO-60; E2CO-61; E2CO-62; E2CO-63; E2CO-64; E2CO-65; E2CO-66; E2CO-67; E2CO-68; E2CO-69; E2CO-7; E2CO-70; E2CO-71; E2CO-72; E2CO-73; E2CO-74; E2CO-75; E2CO-76; E2CO-77; E2CO-78; E2CO-79; E2CO-8; E2CO-80; E2CO-81; E2CO-82; E2CO-83; E2CO-84; E2CO-85; E2CO-86; E2CO-87; E2CO-88; E2CO-89; E2CO-9; E2CO-90; E2CO-91; E2CO-92; E2CO-93; E2CO-94; E2CO-95; E2CO-96; E2CO-97; E2CO-98; E2CO-99; E3VI-1; E3VI-10; E3VI-100; E3VI-101; E3VI-102; E3VI-103; E3VI-104; E3VI-105; E3VI-106; E3VI-107; E3VI-108; E3VI-109; E3VI-11; E3VI-110; E3VI-111; E3VI-112; E3VI-113; E3VI-114; E3VI-115; E3VI-116; E3VI-117; E3VI-118; E3VI-119; E3VI-12; E3VI-120; E3VI-121; E3VI-122; E3VI-123; E3VI-124; E3VI-125; E3VI-126; E3VI-127; E3VI-128; E3VI-129; E3VI-13; E3VI-130; E3VI-131; E3VI-132; E3VI-133; E3VI-14; E3VI-15; E3VI-16; E3VI-17; E3VI-18; E3VI-19; E3VI-2; E3VI-20; E3VI-21; E3VI-22; E3VI-23; E3VI-24; E3VI-25; E3VI-26; E3VI-27; E3VI-28; E3VI-29; E3VI-3; E3VI-30; E3VI-31; E3VI-32; E3VI-33; E3VI-34; E3VI-35; E3VI-36; E3VI-37; E3VI-38; E3VI-39; E3VI-4; E3VI-40; E3VI-41; E3VI-42; E3VI-43; E3VI-44; E3VI-45; E3VI-46; E3VI-47; E3VI-48; E3VI-49; E3VI-5; E3VI-50; E3VI-51; E3VI-52; E3VI-53; E3VI-54; E3VI-55; E3VI-56; E3VI-57; E3VI-58; E3VI-59; E3VI-6; E3VI-60; E3VI-61; E3VI-62; E3VI-63; E3VI-64; E3VI-65; E3VI-66; E3VI-67; E3VI-68; E3VI-69; E3VI-7; E3VI-70; E3VI-71; E3VI-72; E3VI-73; E3VI-74; E3VI-75; E3VI-76; E3VI-77; E3VI-78; E3VI-79; E3VI-8; E3VI-80; E3VI-81; E3VI-82; E3VI-83; E3VI-84; E3VI-85; E3VI-86; E3VI-87; E3VI-88; E3VI-89; E3VI-9; E3VI-90; E3VI-91; E3VI-92; E3VI-93; E3VI-94; E3VI-95; E3VI-96; E3VI-97; E3VI-98; E3VI-99; EURO-BASIN; Event label; Galicia Margin; JUDAY; Juday net; Latitude of event; Longitude of event; Medusae; Preserved in formalin; Tunicata
    Type: Dataset
    Format: text/tab-separated-values, 1380 data points
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  • 2
    Publication Date: 2024-03-18
    Description: Monthly series of hydrographic (temperature, salinity) and biogeochemical variables (nutrients, dissolved oxygen, particulate organic matter, chlorophyll, primary production), and zooplankton taxa abundance and biomass (dry weight) collected at one shelf station for various periods between 1990 and 2018 at A Coruña (NW Spain). These series are part of the long-term observational project RADIALES (Instituto Español de Oceanografía, IEO, Spain).
    Keywords: Abundance; Adaptação Costeira às alterações climáticas: conhecer os riscos e aumentar a resiliência; Biomass; chlorophyll; MarRisk; NE Atlantic; nutrients; NW Spain; RADIALES; Salinity; seRies temporAles De oceanografIA en eL norte de ESpaña; Temperature; Upwelling; Zooplankton
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 3
    Publication Date: 2024-03-18
    Description: Water column discrete observations of temperature, salinity, density, irradiance, dissolved nutrients (nitrate, nitrite, phosphate, ammonium, silicate), oxygen, chlorophyll-a, primary production (carbon uptake) rates, and particulate organic carbon and nitrogen from samples collected monthly at a shelf station off A Coruña (NW Spain) between 2017 and 2018. These series are part of the long-term observational project RADIALES (Instituto Español de Oceanografía, IEO, Spain).
    Keywords: Adaptação Costeira às alterações climáticas: conhecer os riscos e aumentar a resiliência; Ammonium; Bottle, Niskin; Carbon, organic, particulate; Carbon/Nitrogen ratio; Chlorophyll a; Colorimetry, flow-segmented (Grasshoff et al. 1983); CTD, Sea-Bird, SBE 25 SEALOGGER; DATE/TIME; Density, sigma-theta (0); DEPTH, water; E2CO; Galicia Margin; MarRisk; NE Atlantic; NIS; Nitrate; Nitrite; Nitrogen, organic, particulate; nutrients; NW Spain; Oxygen; Oxygen saturation; Phosphate; primary production; Primary production of carbon per hour; RADIALES; Radiation, photosynthetically active; Salinity; seRies temporAles De oceanografIA en eL norte de ESpaña; Silicate; Temperature; Temperature, water; Upwelling; Winkler titration (Parsons et al. 1984)
    Type: Dataset
    Format: text/tab-separated-values, 2499 data points
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  • 4
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    Unknown
    PANGAEA
    In:  Supplement to: Bode, Antonio; Álvarez, Marta; Ruiz-Villarreal, Manuel; Varela, Marta M (2019): Changes in phytoplankton production and upwelling intensity off A Coruña (NW Spain) for the last 28 years. Ocean Dynamics, 69(7), 861-873, https://doi.org/10.1007/s10236-019-01278-y
    Publication Date: 2024-04-20
    Description: Water column discrete observations of temperature, salinity, density, irradiance, dissolved nutrients (nitrate, nitrite, phosphate, ammonium, silicate), oxygen, chlorophyll-a, primary production (carbon uptake) rates, and particulate organic carbon and nitrogen (NW Spain) from samples collected monthly at a shelf station off A Coruña between 1989 and 2016. These series are part of the long-term observational project RADIALES (Instituto Español de Oceanografía, IEO, Spain).
    Keywords: Ammonium; Bottle, Niskin; Carbon, organic, particulate; Carbon/Nitrogen ratio; Chlorophyll a; Colorimetry, flow-segmented (Grasshoff et al. 1983); CTD, Sea-Bird, SBE 25 SEALOGGER; DATE/TIME; Density, sigma-theta (0); DEPTH, water; E2CO; Galicia Margin; NIS; Nitrate; Nitrite; Nitrogen, organic, particulate; Oxygen; Oxygen saturation; Phosphate; Primary production of carbon per hour; Radiation, photosynthetically active; Salinity; Silicate; Temperature, water; Winkler titration (Parsons et al. 1984)
    Type: Dataset
    Format: text/tab-separated-values, 33438 data points
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  • 5
  • 6
    Publication Date: 2020-06-25
    Description: This work evaluates the sensitivity of CO2 air–sea gas exchange in a coastal site to four different model system configurations of the 1D coupled hydrodynamic–ecosystem model GOTM–ERSEM, towards identifying critical dynamics of relevance when specifically addressing quantification of air–sea CO2 exchange. The European Sea Regional Ecosystem Model (ERSEM) is a biomass and functional group-based biogeochemical model that includes a comprehensive carbonate system and explicitly simulates the production of dissolved organic carbon, dissolved inorganic carbon and organic matter. The model was implemented at the coastal station L4 (4 nm south of Plymouth, 50°15.00’N, 4°13.02’W, depth of 51 m). The model performance was evaluated using more than 1500 hydrological and biochemical observations routinely collected at L4 through the Western Coastal Observatory activities of 2008–2009. In addition to a reference simulation (A), we ran three distinct experiments to investigate the sensitivity of the carbonate system and modeled air–sea fluxes to (B) the sea-surface temperature (SST) diurnal cycle and thus also the near-surface vertical gradients, (C) biological suppression of gas exchange and (D) data assimilation using satellite Earth observation data. The reference simulation captures well the physical environment (simulated SST has a correlation with observations equal to 0.94 with a p 〉 0.95). Overall, the model captures the seasonal signal in most biogeochemical variables including the air–sea flux of CO2 and primary production and can capture some of the intra-seasonal variability and short-lived blooms. The model correctly reproduces the seasonality of nutrients (correlation 〉 0.80 for silicate, nitrate and phosphate), surface chlorophyll-a (correlation 〉 0.43) and total biomass (correlation 〉 0.7) in a two year run for 2008–2009. The model simulates well the concentration of DIC, pH and in-water partial pressure of CO2 (pCO2) with correlations between 0.4–0.5. The model result suggest that L4 is a weak net source of CO2 (0.3–1.8 molCm−2 year−1). The results of the three sensitivity experiments indicate that both resolving the temperature profile near the surface and assimilation of surface chlorophyll-a significantly impact the skill of simulating the biogeochemistry at L4 and all of the carbonate chemistry related variables. These results indicate that our forecasting ability of CO2 air–sea flux in shelf seas environments and their impact in climate modeling should consider both model refinements as means of reducing uncertainties and errors in any future climate projections.
    Electronic ISSN: 2072-4292
    Topics: Architecture, Civil Engineering, Surveying , Geography
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  • 7
    Publication Date: 2020-09-25
    Description: A 29-year-long time series (1990–2018) of phyto- and zooplankton abundance and composition is analyzed to uncover regime shifts related to climate and local oceanography variability. At least two major shifts were identified: one between 1997 and 1998, affecting zooplankton group abundance, phytoplankton species assemblages and climatic series, and a second one between 2001 and 2002, affecting microzooplankton group abundance, mesozooplankton species assemblages and local hydrographic series. Upwelling variability was relatively less important than other climatic or local oceanographic variables for the definition of the regimes. Climate-related regimes were influenced by the dominance of cold and dry (1990–1997) vs. warm and wet (1998–2018) periods, and characterized by shifts from low to high life trait diversity in phytoplankton assemblages, and from low to high meroplankton dominance for mesozooplankton. Regimes related to local oceanography were defined by the shift from relatively low (1990–2001) to high (2002–2018) concentrations of nutrients provided by remineralization (or continental inputs) and biological production, and shifts from a low to high abundance of microzooplankton, and from a low to high trait diversity of mesozooplankton species assemblages. These results align with similar shifts described around the same time for most regions of the NE Atlantic. This study points out the different effects of large-scale vs. local environmental variations in shaping plankton assemblages at multiannual time scales.
    Electronic ISSN: 2673-1924
    Topics: Geosciences
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  • 8
  • 9
    Publication Date: 2019-01-14
    Description: Blooms of Dinophysis acuminata occur every year in Galicia (northwest Spain), between spring and autumn. These blooms contaminate shellfish with lipophilic toxins and cause lengthy harvesting bans. They are often followed by short-lived blooms of Dinophysis acuta, associated with northward longshore transport, at the end of the upwelling season. During the summers of 1989 and 1990, dense blooms of D. acuta developed in situ, initially co-occurring with D. acuminata and later with the paralytic shellfish toxin-producer Gymnodinium catenatum. Unexplored data from three cruises carried out before, during, and following autumn blooms (13–14, 27–28 September and 11–12 October) in 1990 showed D. acuta distribution in shelf waters within the 50 m and 130 m isobaths, delimited by the upwelling front. A joint review of monitoring data from Galicia and Portugal provided a mesoscale view of anomalies in SST and other hydroclimatic factors associated with a northward displacement of the center of gravity of D. acuta populations. At the microscale, re-examination of the vertical segregation of cell maxima in the light of current knowledge, improved our understanding of niche differentiation between the two species of Dinophysis. Results here improve local transport models and forecast of Dinophysis events, the main cause of shellfish harvesting bans in the most important mussel production area in Europe.
    Electronic ISSN: 2072-6651
    Topics: Chemistry and Pharmacology , Medicine
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  • 10
    Publication Date: 2016-03-04
    Description: Since its foundation, 100 years ago, the Spanish Institute of Oceanography (IEO) has been observing and measuring the ocean characteristics. Here is a summary of the initiatives of the IEO in the field of the operational oceanography. Some systems like the tide gauges network has been working for more than 70 years. The standard sections began at different moments depending on the local projects, and nowadays there are more than 180 coastal stations and deep-sea ones that are systematically sampled, obtaining physical and biochemical measurements. At this moment, the Observing System includes six permanent moorings equipped with current meters, an open-sea ocean-meteorological buoy offshore Santander and a sea-surface temperature satellite image station. It also supports the Spanish contribution to the Argo international programme with 47 deployed profilers, and continuous monitoring thermosalinometers, meteorological stations and vessel-mounted acoustic Doppler current profilers on the research vessel fleet. The system is completed with the contribution to the Northwest Iberian peninsula and Gibraltar observatories, and the development of regional prediction models. All these systematic measurements allow the IEO to give responses to ocean research activities, official agencies requirements and industrial and main society demands such as navigation, resource management, risks management, recreation, as well as for management development pollution-related economic activities or marine ecosystems. All these networks are linked to international initiatives, framed largely in supranational programmes of Earth observation sponsored by the United Nations or the European Union. The synchronic observation system permits a spatio-temporal description of some events, such as new deep water formation in the Mediterranean Sea and the injection of heat to intermediate waters in the Bay of Biscay after some colder northern storms in winter 2005.
    Print ISSN: 1812-0784
    Electronic ISSN: 1812-0792
    Topics: Geosciences
    Published by Copernicus on behalf of European Geosciences Union.
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