4.6 Article

Modelling indices of abundance and size-based indicators of cod and flounder stocks in the Baltic Sea using newly standardized trawl survey data

Journal

ICES JOURNAL OF MARINE SCIENCE
Volume 74, Issue 5, Pages 1322-1333

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/icesjms/fsx005

Keywords

Baltic Sea; Gadus morhua; index of abundance; maximum length; Platichthys flesus; standardized trawl survey data

Funding

  1. BONUS INSPIRE project - Joint Baltic Sea Research and Development Programme BONUS - EU
  2. BONUS INSPIRE project - Joint Baltic Sea Research and Development Programme BONUS - Swedish Research Council Formas (Sweden)
  3. BONUS INSPIRE project - Joint Baltic Sea Research and Development Programme BONUS - State Education Development Agency (Latvia)

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Standardized indices of abundance and size-based indicators are of extreme importance for monitoring fish population status. The main objectives of the current study were to (i) combine and standardize recently performed trawl survey with historical ones, (ii) explore and discuss the trends in abundance, and (iii) the trends in maximum length (L-max) for cod (Gadus morhua) and flounder (Platichthys flesus) stocks in the Baltic Sea. Standardization of catch per unit of effort (CPUE) from trawl surveys from 1978 to 2014 to swept area per unit of time was conducted using information on trawling speed and horizontal opening of the trawls. CPUE data for cod and flounder stocks were modelled using generalized additive models (GAMs) in a delta modelling approach framework, while the L-max data were modelled using ordinary GAMs. The CPUE time series of the Eastern Baltic cod stock closely resembles the spawning stock biomass trend from analytical stock assessment. The results obtained furnish evidence of the cod spill-over from Subdivisions (SD) 25-28 to SD 24. The decline of L-max in recent years was evident for both species in all the stocks analysed indicating that the demersal fish community is becoming progressively dominated by small individuals. It is concluded that the standardization of long time series of fisheries-independent data constitutes a powerful tool that could help improve our knowledge on the dynamics of fished populations, thus promoting a long-term sustainable use of these marine resources.

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