Cristin-resultat-ID: 2004165
Sist endret: 21. februar 2022, 14:47
Resultat
Vitenskapelig foredrag
2021

Combined trawl-mounted optic and acoustic methods to study the mesopelagic ecosystem

Bidragsytere:
  • Shale Pettit Rosen
  • Eva Garcia Seoane
  • Melanie Underwood
  • Thor Aleksander Klevjer
  • Gavin John Macaulay
  • Mette Dalgaard Agersted
  • mfl.

Presentasjon

Navn på arrangementet: e ICES-FAO Working Group on Fishing Technology and Fish Behaviour [WGFTFB] and the Working Group on Fisheries Acoustics Science and Technology [WGFAST] (JFATB)
Sted: online
Dato fra: 21. april 2021
Dato til: 21. april 2021

Arrangør:

Arrangørnavn: International Council for the Exploration of the Seas (ICES), Food and Agriculture Organisation of the United Nations (FAO)

Om resultatet

Vitenskapelig foredrag
Publiseringsår: 2021

Beskrivelse Beskrivelse

Tittel

Combined trawl-mounted optic and acoustic methods to study the mesopelagic ecosystem

Sammendrag

Acoustic methods may oversample mesopelagic fishes due to uncertainties in resonance, the proportion of backscatter due to siphonophores and population characteristics. On the other hand, nets may under sample due to trawl avoidance and poor retention of small individuals. In the work presented, a stereo camera system (Deep Vision) mounted in the extension of a pelagic trawl was used in combination with a self-contained wide-band echosounder (SIMRAD WBAT) in the trawl’s opening as a tool to compare catch and acoustic estimates and improve understanding of the mesopelagic ecosystem. Estimates from the WBAT (counting acoustic targets) and the Deep Vision (counting the organisms in the pictures) show similar patterns in vertical distribution and densities over time for the mesopelagic organisms encountered, providing an enhanced sampling method for mesopelagic species by verifying acoustic targets in situ and establish their vertical distribution. Images and the trawl’s path through the water column from the Deep Vision system can also be imported directly into the LSSS (Large Scale Survey System) software to verify acoustic scatterers in echograms. Finally, machine learning methods are being developed and tested to automate species identification and length measurement from the Deep Vision stereo images.

Bidragsytere

Aktiv cristin-person

Shale Pettit Rosen

  • Tilknyttet:
    Forfatter
    ved Fangst ved Havforskningsinstituttet

Eva Garcia Seoane

  • Tilknyttet:
    Forfatter
    ved Plankton ved Havforskningsinstituttet

Melanie Underwood

  • Tilknyttet:
    Forfatter
    ved Fangst ved Havforskningsinstituttet

Thor Aleksander Klevjer

  • Tilknyttet:
    Forfatter
    ved Plankton ved Havforskningsinstituttet

Gavin John Macaulay

  • Tilknyttet:
    Forfatter
    ved Økosystemakustikk ved Havforskningsinstituttet
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