Journal article

MEY for a short-lived species: A neural network approach

Tom Kompas, Long Chu

FISHERIES RESEARCH | ELSEVIER SCIENCE BV | Published : 2018

Abstract

This paper develops a neural network approach to estimate ‘Maximum Economic Yield’ (MEY) for a short-lived species. Unlike long-lived species, short-lived species are often relatively resistant to fishing pressure, but overall stock availability and MEY can also vary considerably in these fisheries due to environmental factors, such as changes in ocean currents and the weather. We argue that the common CPUE approach results in economic overfishing (lost profitability) if the price of fish varies with catch and, if so, neural networks can provide a very useful ex-ante prediction for stock availability and estimates of MEY, depending on how environmental factors unfold. Our approach is illustr..

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University of Melbourne Researchers