• norsk
    • English
  • norsk 
    • norsk
    • English
  • Logg inn
Vis innførsel 
  •   Hjem
  • Havforskningsinstituttet
  • Published in cooperation with others
  • ICES CM documents authored by IMR scientists (1949-2011)
  • Vis innførsel
  •   Hjem
  • Havforskningsinstituttet
  • Published in cooperation with others
  • ICES CM documents authored by IMR scientists (1949-2011)
  • Vis innførsel
JavaScript is disabled for your browser. Some features of this site may not work without it.

Predicting recruitment of 0-group gadoids in the Barents Sea - critical interaction between models and observations

Johansen, Geir Odd; Skogen, Morten D.; Godø, Olav Rune; Torkelsen, Terje
Working paper
Thumbnail
Åpne
Johansen_etal_ICES_ASC_2007_B07.pdf (5.159Mb)
Permanent lenke
http://hdl.handle.net/11250/100669
Utgivelsesdato
2007
Metadata
Vis full innførsel
Samlinger
  • ICES CM documents authored by IMR scientists (1949-2011) [3138]
Sammendrag
The most important gadoid fish stocks of the Barents Sea spawn along the coast of Norway. The eggs, larvae and juveniles are transported northwards with the oceanic coastal currents from the spawning grounds towards their nursery and feeding areas in the Barents Sea. In this work, we present a conceptual model of the vertical dynamics of 0-group during the transport and settlement phase. Field observations of the vertical distribution and behaviour of 0-group fish recorded by a stationary acoustic system are compared to the conceptual model to validate critical assumptions. They also serve as an example of some critical observations needed to improve hydrodynamic modelling of the transport. We used two different vertical distribution algorithms for particles representing juvenile fish in a Lagrangian particletracking model. One is based on the behaviour described in the conceptual model and the other assumes random vertical distribution at a fixed depth range throughout the whole period. The distribution predicted from the vertical behaviour algorithms fits best to observations from surveys. Based on this experience we propose an observation program for collecting the needed observations to obtain a more realistic recruitment prediction model.
Utgiver
ICES
Serie
ICES CM documents
2007/B:07

Kontakt oss | Gi tilbakemelding

Personvernerklæring
DSpace software copyright © 2002-2019  DuraSpace

Levert av  Unit
 

 

Bla i

Hele arkivetDelarkiv og samlingerUtgivelsesdatoForfattereTitlerEmneordDokumenttyperTidsskrifterDenne samlingenUtgivelsesdatoForfattereTitlerEmneordDokumenttyperTidsskrifter

Min side

Logg inn

Statistikk

Besøksstatistikk

Kontakt oss | Gi tilbakemelding

Personvernerklæring
DSpace software copyright © 2002-2019  DuraSpace

Levert av  Unit