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How many feeding data be integrated into a model for a Norwegian fjord population of cod (Gadus morhua L.)?
Pedersen, T.; Pope, J.G. (2003). How many feeding data be integrated into a model for a Norwegian fjord population of cod (Gadus morhua L.)?, in: Ulltang, Ø. et al. Fish stock assessments and predictions: integrating relevant knowledge: SAP Symposium held in Bergen, Norway 4-6 December 2000. Scientia Marina (Barcelona), 67(Suppl. 1): pp. 155-169
In: Ulltang, Ø.; Blom, G. (2003). Fish stock assessments and predictions: integrating relevant knowledge: SAP Symposium held in Bergen, Norway 4-6 December 2000. Scientia Marina (Barcelona), 67(Suppl. 1). Institut de Ciències de Mar: Barcelona. 374 pp., more
In: Scientia Marina (Barcelona). Consejo Superior de Investigaciones Científicas. Institut de Ciènces del Mar: Barcelona. ISSN 0214-8358, more
Peer reviewed article  

Also published as
  • Pedersen, T.; Pope, J.G. (2003). How many feeding data be integrated into a model for a Norwegian fjord population of cod (Gadus morhua L.)? Sci. Mar. (Barc.) 2003: 155-169, more

Available in Authors 
Document type: Conference paper

Keywords
    Cannibalism; Cod; Feeding; Marine fish; Mathematical models; Mortality; Population number; Gadus morhua Linnaeus, 1758 [WoRMS]; ANE, Norway [Marine Regions]; Marine

Authors  Top 
  • Pedersen, T.
  • Pope, J.G.

Abstract
    We investigate how cod feeding data may be included into a recently developed age-structured model for a coastal cod population in a small fjord in northern Norway. The model integrates data from mark-recapture experiments, trawl-surveys and commercial catches. The fjord population has high biomass density (2-3 tonnes km-2) and low fishing mortality rates (F <0.30 year-1). The model output parameters (cannibalism mortality rate, other natural mortality rate, fishing mortality rate, recruitment numbers, gear selection functions for commercial and research trawls and trawl catchability coefficient) are estimated using a weighted least-square minimisation routine. We evaluate different strategies for, and effects of, inclusion of feeding data in the model, and evaluate the effects of uncertainty in the different data sets. Representation of the feeding data as an Ursin lognormal distributed size (predator weight/prey weight) food preference function yielded realistic cannibalism mortalities. The sensitivity of the results to data input are discussed.

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