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Accession Number:
AD1099236
Title:
Acoustic Detection of Zooplankton Diel Vertical Migration Behaviors on the Northern Gulf of Mexico Shelf
Descriptive Note:
Journal Article - Open Access
Corporate Author:
NAVAL RESEARCH LAB WASHINGTON DC WASHINGTON United States
Report Date:
2019-04-17
Pagination or Media Count:
22.0
Abstract:
Zooplankton respond to light levels, oceanographic conditions, and other cues through diel vertical migrations DVMs, which can occur at dawn and dusk. However, unraveling the influence of these drivers is difficult without high-resolution time series data encompassing multiple events that can alter zooplankton DVM. We address this knowledge gap with an interseasonal study using high-resolution measurements of zooplankton DVMs on the freshwater-influenced northern Gulf of Mexico shelf. Sampling encompassed 6 months of acoustic backscatter and vertical velocity profiles at five locations, supplemented with zooplankton taxonomic composition and abundance from in situ imaging, net samples, glider profiles, and remote sensing. Relative backscatter anomalies RBAs displayed a daily pattern that changed abruptly at dawn and dusk, with lower daytime 2-15 dB lower values relative to nighttime. Daily variability intensified from autumn to spring. The DVM pattern changed in structure on shorter temporal scales days to weeks, associated with factors including onshore and off-shelf currents, lunar variability, cloud cover, and harmful algal bloom passage. In situ imaging and net observations showed that the most likely acoustically observed migrating zooplankton were chaetognaths, shrimp performing reverse DVMs, copepods, and ostracods. Shrimp and chaetognath orientations also showed diel variability, with individuals more frequently oriented vertically during the daytime. Daily RBA and vertical velocity anomaly patterns could be caused by reverse DVM to the near-surface or nocturnal DVM to the near-bottom outside the acoustic detection range or diel changes in organism orientation. Pattern complexities suggest that multiple behaviors are happening and being observed simultaneously.
Distribution Statement:
APPROVED FOR PUBLIC RELEASE