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Acoustic backscatter data and RMT25 abundance and biomass data for Scotia Sea, Southern Ocean 2006, 2008, 2009, 2015, 2016 and 2017
GB/NERC/BAS/PDC/01142

Summary

Abstract:
This is a mixed data set held in six excel files, containing processed acoustic backscatter data, mesopelagic fish abundance and swimbladder contents from night time sampled RMT25 nets, plus net catch data for all fauna combined and dominant mesopelagic fish in night time RMT25.

Acoustic backscatter data is from 6 latitudinal acoustic transects spanning the Scotia Sea, obtained during cruises JR161, JR177, JR200, JR15002 and JR15004 (two transects). Data were collected using a Simrad EK60 echo sounder at 38 kHz. The EK60 was run continuously between Stanley (Falkland Islands) and Signy (South Orkney Islands). Fish data was collected using RMT25 night time net samples from 5 cruises JR161, JR177, JR200, JR15004 and JR16003. The data set focuses on 11 species of mesopelagic fish Bathylagus species, Cyclothone species, Electrona antarctica, Electrona carlsbergi, Gymnoscopelus braueri, Gymnoscopelus fraseri, Gymnoscopelus nicholsi, Krefftichthys anderssoni, Protomyctophum bolini, Protomyctophum tenisoni and Notolepis species. Abundance and proportion data was obtained for combined fish species, and identified by net tow and latitude. Biomass for all fauna and the 11 fish species was calculated from RMT25 night catch log data. Myctophid gas presence absence was determined from a combination of dissection, Computed Tomography and soft tissue X-ray.

Funding was provided by the NERC grants NE/L002434/1 and bas010017.


This data is embargoed until August 2019.

Keywords:
Abundance, Acoustic backscatter, Biomass, Mesopelagic fish, Myctophid, Swimbladder

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Citation

Dornan, T., Fielding, S., Saunders, R., & Stowasser, G. (2019). Acoustic backscatter data and RMT25 abundance and biomass data for Scotia Sea, Southern Ocean 2006, 2008, 2009, 2015, 2016 and 2017 (Version 1.0) [Data set]. UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation. https://doi.org/10.5285/e15d622c-5c7e-45e9-b127-f27def94bbe8

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