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Research article - Peer-reviewed, 2022

Data-poor stock assessment of fish stocks co-exploited by commercial and recreational fisheries: Applications to pike Esox lucius in the western Baltic Sea

van Gemert, Rob; Koemle, Dieter; Winkler, Helmut; Arlinghaus, Robert;

Abstract

Information on catch and effort of recreational angling in mixed-use fisheries (co-exploited by commercial and recreational fishers) is often scarce, preventing the application of data-rich stock assessments typically performed for industrialised commercial fisheries. This study shows how data-poor stock assessment methods developed for marine fisheries, particularly a model class labelled as "catch-only" models (COMs), offer a possible solution. As a case study, COMs are used to assess a northern pike Esox lucius L. stock around the German Baltic island of Rugen. Multiple COMs were fitted to a time series of total pike removals, and their outputs were used as explanatory variables in ensemble models. The stock was found to be fully exploited and currently declining. This study highlights the potential for using COMs to determine status of previously unassessed coastal and freshwater stocks facing recreational fishing pressure and demonstrates how incorporating recreational removals is crucial for achieving reliable insights into the status of mixed-use stocks.

Keywords

catch-only models; coastal stocks; ensemble models; freshwater stocks; mixed-use fisheries; stock status

Published in

Fisheries Management and Ecology

2022, volume: 29, pages: 16-28
Publisher: WILEY

Authors' information

Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB)
Swedish University of Agricultural Sciences, Department of Aquatic Resources
Koemle, Dieter
Leibniz Institut fur Gewasserokologie und Binnenfischerei (IGB)
Winkler, Helmut
University of Rostock
Arlinghaus, Robert
Leibniz Institut fur Gewasserokologie und Binnenfischerei (IGB)
Arlinghaus, Robert
Humboldt University of Berlin

UKÄ Subject classification

Fish and Aquacultural Science

Publication Identifiers

DOI: https://doi.org/10.1111/fme.12514

URI (permanent link to this page)

https://res.slu.se/id/publ/113763