MEPS 235:223-234 (2002)  -  doi:10.3354/meps235223

Stochastic dynamic population model of North Sea sandeels, and its application to precautionary management procedures

Stephen A. Arnott*, Graeme D. Ruxton, Elvira S. Poloczanska

Division of Environmental & Evolutionary Biology, Faculty of Biomedical & Life Sciences, University of Glasgow, Glasgow G12 8QQ, Scotland, UK
*Present address: Marine Sciences Research Center, Stony Brook University, Stony Brook, New York, 11794-5000, USA. E-mail:

ABSTRACT: Sandeels (sand lance) are important prey for fish, bird and mammal predators. In the North Sea, they are also the target of the region¹s largest Œsingle-speciesŒ fishery, with annual yields of ca. 0.8 million tonnes, mostly (>90%) comprising the species Ammodytes marinus. This species is relatively short-lived, and has large, naturally occurring, population fluctuations that confound the use of traditional methods of fishery forecasting for their management. Here we present a stochastic age-structured model that describes the population dynamics of North Sea sandeels. Recruitment to the population occurs according to a stochastic, autocorrelated Ricker function. Uncertainty in the recruitment parameters was quantified by bootstrap analysis, leading to 3 different versions of the model that allowed a range of potentially viable recruitment scenarios to be explored. Monte Carlo simulations were performed under different fishing mortality levels, and the responses of the population assessed. The model is used to quantify recruitment and the likelihood of the sandeel spawning stock biomass falling below 600000 and 430000 t, which represent the precautionary and biomass limit levels, respectively, imposed by managers upon the stock.

KEY WORDS: Sandeel · Sand lance · Ammodytes marinus · North Sea · Industrial fishery · Population dynamics · Autocorrelation · Precautionary approach

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