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Modelling the spatio-temporal interplay between North Sea saithe (Pollachius virens) and multiple fleet segments for management evaluation

Published online by Cambridge University Press:  02 September 2014

Sarah Laura Simons ,
Ralf Döring  and
Axel Temming
Sarah Laura Simons*
Affiliation:
Johann Heinrich von Thünen Institute (Federal Research Institute for Rural Areas, Forestry and Fisheries), Institute of Sea Fisheries, Palmaille 9, 22767 Hamburg, Germany Institut für Hydrobiologie und Fischereiwissenschaft, Universität Hamburg, Olbersweg 24, 22767 Hamburg, Germany
Ralf Döring
Affiliation:
Johann Heinrich von Thünen Institute (Federal Research Institute for Rural Areas, Forestry and Fisheries), Institute of Sea Fisheries, Palmaille 9, 22767 Hamburg, Germany
Axel Temming
Affiliation:
Institut für Hydrobiologie und Fischereiwissenschaft, Universität Hamburg, Olbersweg 24, 22767 Hamburg, Germany
*
a Corresponding author: sarah.simons@ti.bund.de
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Abstract

There is growing interest in bio-economic models as tools for understanding pathways of fishery behaviour, in order to assess the impact on natural resources. Based on ‘FishRent’, a modelling approach is presented that integrates economics of the fleet, the impact of fishing on stock development and their spatio-temporal interplay. The simulation of species seasonal movements in combination with both observed values and stochastic recruitment allowed analysing the economic response of fleet segments to changes in stock distribution and development. Optimisation of net profits determines the effort adjustment and spatial allocation of fleet segments, which in turn affects the level of catch rates. Effort tended to concentrate where fish abundance was high, but also where fishing costs were low. In simulations with the current management plan spawning stock of North Sea saithe (Pollachius virens) declined below its precautionary reference point. In response fishing far from home ports became expensive and 40% of the initial effort was shifted to areas closer to home ports, but as areas of high fish concentrations were located by the modelled fleet segments catch rates remained high. Changes in seasonal/annual stock distribution, the stock decline and costs influenced the change in fishing effort distributions leading to overestimated catch per unit of effort values that masked the decline of stock abundance.

Keywords

Bio-economicsFisheries economicsFleet dynamicsSpatial structureStock assessmentPopulation dynamics
Type
Research Article
Information
Aquatic Living Resources , Volume 27 , Issue 1 , January 2014 , pp. 1 - 16
Copyright
© EDP Sciences, IFREMER, IRD 2014

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