88 research outputs found

    Deep Scattering Layers of the Northern Gulf of Mexico Observed With a Shipboard 38-kHz Acoustic Doppler Current Profiler

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    Midwater sound-scattering layers containing aggregations of zooplankton and micronekton prey form in response to a trade-off between predator avoidance at depth and optimal foraging near the surface. Although the volume backscatter strength of zooplankton aggregations have been extensively studied in the past, fewer studies have specifically examined other descriptive characteristics of these layers such as depth of layers, timing of migrations, and the presence of secondary scattering layers below the main scattering layer. In the present study, patterns of deep scattering layers (DSLs) were characterized using relative acoustic backscatter from a ship-mounted 38-kHz phased-array, acoustic Doppler current profiler (ADCP) in the northern Gulf of Mexico in summers 2002 and 2003. Temporal patterns of scattering layers were analyzed with respect to the timing of the daytime and nighttime diel vertical migrations, and spatial patterns of scattering layers were analyzed with respect to their proximity to mesoscale circulation features associated with upwelling, downwelling, and water depth. The most prominent main scattering layer was consistently found at daytime depth of 450 to 550 m below the surface except during an unusual shoaling event in which a significant shallowing of the layer was observed at 200 to 300 m below the surface. This event coincided with the crossing of a strong frontal boundary between high salinity, blue water and low salinity, green water from the Mississippi River plume. Less prominent secondary scattering layers found deeper than the main scattering layer showed regional variability and appear to be more frequently associated with shallower shelf depths than in the deepwater basin. Variability among deep scattering layers in this region may have important implications for the behavior and interactions of higher trophic levels dependent on these prey layers

    38-kHz ADCP investigation of deep scattering layers in sperm whale habitat in the northern Gulf of Mexico

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    A hull-mounted 38-kHz phased-array acoustic Doppler current profiler (ADCP) was used to acoustically survey the continental margin of the northern Gulf of Mexico (GOM) during 6 cruises in 2002-2003. This is the first backscatter survey with a 38-kHz ADCP in the Gulf of Mexico. ADCPs have been used as a proxy to measure the volume backscatter return from plankton in the water column, however previous studies were restricted to the upper 200 to 300 meters due to the relatively high frequency of operation (150-300 kHz) of the transducers. In addition to measuring deep water current velocities, the 38-kHz phased-array ADCP can measure Relative Acoustic Backscatter Intensity (RABI) as deep as 1000 meters. The daytime depth of the main deep scattering layer at 400 to 500 meters was resolved, and locally high backscatter intensity can be seen down to 800 meters. The objectives were to determine how to analyze RABI from the instrument to resolve scattering layers, and then to seek secondary deep scattering layers of potential prey species below the main deep scattering layer, from 600 to 800 meters in the feeding range for Gulf of Mexico sperm whales. Based on RABI from the 38-kHz ADCP, secondary DSLs in sperm whale diving range were more commonly recorded over the continental shelf than in the deep basin region of the Gulf of Mexico. The daytime depths of migrating plankton showed variation depending on physical circulation features (cyclone, anticyclone, proximity to Mississippi river, and Loop Current) present. Vertical migrations compared between concurrently running 38 and 153-kHz ADCPs showed an overlap of acoustic scatterers recorded by the two instruments, however the 153-kHz instrument has much finer vertical resolution. Vertical migration rates were calculated and simultaneous net tow samples from one of the cruises was used to compare abundance estimates by the two methods

    Mapping Stratification : the industry-occupationspace reveals the network structure ofinequality

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    Social stratification is determined not only by income, education, race, and gender, but also by an individuals job characteristics and their position in the industrial structure. Utilizing a dataset of 76.6 million Brazilian workers and methods from network science, we map the Brazilian Industry-Occupation Space (BIOS). The BIOS measures the extent to which 600 occupations co-appear in 585 industries, resulting in a complex network that shows how industrial-occupational communities provide important information on the network segmentation of society. Gender, race, education, and income are concentrated unevenly across the core-periphery structure of the BIOS. Moreover, we identify 28 industrial occupational communities from the BIOS network structure and report their contribution to total income inequality in Brazil. Finally, we quantify the relative poverty within these communities. In sum, the BIOS reveals how the coupling of industries and occupations contributes to mapping social stratification

    Mapping Stratification : the industry-occupationspace reveals the network structure ofinequality

    Get PDF
    Social stratification is determined not only by income, education, race, and gender, but also by an individuals job characteristics and their position in the industrial structure. Utilizing a dataset of 76.6 million Brazilian workers and methods from network science, we map the Brazilian Industry-Occupation Space (BIOS). The BIOS measures the extent to which 600 occupations co-appear in 585 industries, resulting in a complex network that shows how industrial-occupational communities provide important information on the network segmentation of society. Gender, race, education, and income are concentrated unevenly across the core-periphery structure of the BIOS. Moreover, we identify 28 industrial occupational communities from the BIOS network structure and report their contribution to total income inequality in Brazil. Finally, we quantify the relative poverty within these communities. In sum, the BIOS reveals how the coupling of industries and occupations contributes to mapping social stratification
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