Cristin-resultat-ID: 1945286
Sist endret: 10. februar 2022, 10:17
NVI-rapporteringsår: 2021
Resultat
Vitenskapelig artikkel
2021

Behavioural response of farmed Atlantic salmon (Salmo salar L.) to artificial underwater lights: Wavelet analysis of acoustic telemetry data

Bidragsytere:
  • John Birger Ulvund
  • Solveig Engebretsen
  • Jo Arve Alfredsen
  • Torstein Kristensen
  • Henning André Urke og
  • Peder A. Jansen

Tidsskrift

Aquacultural Engineering
ISSN 0144-8609
e-ISSN 1873-5614
NVI-nivå 1

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2021
Publisert online: 2021
Volum: 95
Sider: 1 - 11
Artikkelnummer: 102196
Open Access

Importkilder

Scopus-ID: 2-s2.0-85115353226

Beskrivelse Beskrivelse

Tittel

Behavioural response of farmed Atlantic salmon (Salmo salar L.) to artificial underwater lights: Wavelet analysis of acoustic telemetry data

Sammendrag

Biological, environmental, economic and ethical issues become increasingly pertinent as the scale of the aquaculture industry expands. This study used acoustic telemetry data and wavelet analysis to investigate behavioural patterns of Atlantic salmon when exposed to artificial underwater lights in fully stocked production cages located on the Norwegian coast. Using acoustic depth sensor tags, time series of depth registrations were gathered from 21 individual salmon distributed over three cages during a five-month experimental period. Underwater lights, normally used to suppress pre-harvest sexual maturation amongst Atlantic salmon, were installed at eight-metre depth and switched on in the middle of the experimental period. Swimming depth registrations initially showed a typical diurnal swimming behaviour, manifested by registrations generally in deeper waters during day-time than during night-time. The diurnal swimming behaviour abruptly ceased after the onset of lights. The change in swimming behaviour was detected by wavelet analysis and coincided with the introduction of underwater lights. Results from this study demonstrate the utility of wavelet analysis as a timely surveillance tool when investigating behavioural patterns of a periodic nature in fish, and specifically the individual response of farmed salmon to artificial lighting in a genuine industrial setting.

Bidragsytere

John Birger Ulvund

  • Tilknyttet:
    Forfatter
    ved Fakultet for biovitenskap og akvakultur ved Nord universitet

Solveig Engebretsen

  • Tilknyttet:
    Forfatter
    ved Avdeling for statistisk analyse og maskinlæring for brukermotiverte anvendelser SAMBA ved Norsk Regnesentral
Aktiv cristin-person

Jo Arve Alfredsen

  • Tilknyttet:
    Forfatter
    ved Institutt for teknisk kybernetikk ved Norges teknisk-naturvitenskapelige universitet

Torstein Kristensen

  • Tilknyttet:
    Forfatter
    ved Fakultet for biovitenskap og akvakultur ved Nord universitet

Henning Andre Urke

Bidragsyterens navn vises på dette resultatet som Henning André Urke
  • Tilknyttet:
    Forfatter
    ved INAQ AS
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