Testing

Dataset: Krill swarms detected with active acoustic EK80 onboard small boat surveys in Palmer Deep Canyon, Antarctica during January-March 2020

Final no updates expectedDOI: 10.26008/1912/bco-dmo.949922.1Version 1 (2025-01-30)Dataset Type:Other Field Results

Co-Principal Investigator: Kim S. Bernard (Oregon State University)

Student: Ashley Hann (Oregon State University)

Student, Contact: Jacquelyn Veatch (Rutgers University)

BCO-DMO Data Manager: Karen Soenen (Woods Hole Oceanographic Institution)


Project: Collaborative Research: Physical Mechanisms Driving Food Web Focusing in Antarctic Biological Hotspots (Project SWARM)


Abstract

These data include identified krill swarms observed by a hull-mounted SIMRAD EK80 single-beam, single frequency (120 kHz) echo sounder (Kongsberg Maritime) hereby referred to as “EK80”. Data were collected in Palmer Deep Canyon, Antarctica during January-March 2020. Small boat surveys were conducted twice weekly over known penguin foraging areas. EK80 data were processed using Echoview software and backscattering zooplankton were identified as krill when within a target strength of -70 dB to -30...

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Day trip active acoustic surveys were conducted from Palmer Station Field Season aboard RHIB twice weekly from January-March 2020 using a hull-mounted SIMRAD EK80 single-beam, single frequency (120 kHz) echosounder (Kongsberg Maritime) along transects shown in Figure 1A (Veatch et al 2025).

The echosounder was configured with a 1 s ping rate, 512 µs pulse duration, and 24 µs sampling duration. Calibrations of the echosounder were performed in the vicinity of Palmer Deep Canyon using a tungsten sphere (diameter = 38.1 mm) during February, 2020. Acoustic data were processed in Myriax Echoview software version 11.1 following methods from (Tarling, Klevjer et al. 2009) and (Tarling, Thorpe et al. 2018). Raw data were processed to consider the echosounder calibration and in situ ocean acoustic conditions via incorporation of onboard CTD data, and to remove background noise and other interferences via the Background Noise Removal (De Robertis and Higginbottom 2007) and Impulse Noise Removal (Ryan, Downie et al. 2015) algorithms in Echoview. Krill were then detected using a target strength threshold of -70 dB to -30 dB(Tarling, Klevjer et al. 2009, Tarling, Thorpe et al. 2018) in Echoview following similar parameterization and protocols to (Nardelli, Cimino et al. 2021) and (Reiss, Cossio et al. 2021) (Figure 4, Veatch et al 2025).


Related Datasets

IsRelatedTo

Dataset: Antarctic ACROBAT data
Relationship Description: ACROBAT data to provide a wholistic view of the food web.
Statscewich, H., Veatch, J., Kohut, J., Oliver, M. (2024) Water temperature, salinity, and optical properties from an Acrobat towed vehicle from bi-weekly grids conducted at Palmer Station, Antarctica in 2020. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2023-12-01 doi:10.26008/1912/bco-dmo.916046.1

Related Publications

Results

Hann, A. M., Bernard, K. S., Kohut, J., Oliver, M. J., & Statscewich, H. (2023). New insight into Salpa thompsoni distribution via glider-borne acoustics. Frontiers in Marine Science, 9. https://doi.org/10.3389/fmars.2022.857560
Results

Veatch, Jacquelyn, Matthew Oliver, Erick Fredj, Hank Statscewich, Kim Bernard, Ashley M. Hann, Grant Voirol, Heidi Fuchs, William R Fraser, and Josh Kohut. 2024. 'Lagrangian coherent structures influence the spatial structure of marine food webs ', in revision at Communications Earth & Environment
Methods

De Robertis, A., & Higginbottom, I. (2007). A post-processing technique to estimate the signal-to-noise ratio and remove echosounder background noise. ICES Journal of Marine Science, 64(6), 1282–1291. doi:10.1093/icesjms/fsm112
Methods

Nardelli, S. C., Cimino, M. A., Conroy, J. A., Fraser, W. R., Steinberg, D. K., & Schofield, O. (2021). Krill availability in adjacent Adélie and gentoo penguin foraging regions near Palmer Station, Antarctica. Limnology and Oceanography, 66(6), 2234–2250. Portico. https://doi.org/10.1002/lno.11750
Methods

Reiss, C. S., Cossio, A. M., Walsh, J., Cutter, G. R., & Watters, G. M. (2021). Glider-Based Estimates of Meso-Zooplankton Biomass Density: A Fisheries Case Study on Antarctic Krill (Euphausia superba) Around the Northern Antarctic Peninsula. Frontiers in Marine Science, 8. https://doi.org/10.3389/fmars.2021.604043