Integrating recreational fisheries data into stock assessment: implications for model performance and subsequent harvest strategies |
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| Authors: | S. P. Griffiths G. Fay |
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| Affiliation: | 1. CSIRO Oceans and Atmosphere Flagship, Dutton Park, Queensland, Australia;2. School for Marine Science and Technology, University of Massachusetts Dartmouth, Fairhaven, MA, USA |
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| Abstract: | Understanding the impacts of recreational fishing on commercially fished stocks is becoming increasingly relevant for fisheries managers. However, data from recreational fisheries are not commonly included in stock assessments of commercially fished stocks. Simulation models of two assessment methods employed in Australia's Commonwealth fisheries were used to explore how recreational fishery data can be included, and the likely consequences for management. In a data‐poor management strategy for blue eye trevalla, Hyperoglyphe antarctica (Carmichael), temporal trends in recreational catch most affected management outcomes. In a data‐rich age‐structured stock assessment for striped marlin, Kajikia audax (Philippi), estimates of stock status were biased when recreational catches were large or when the recreational fishery targeted different size classes than the commercial fishery and these data were not integrated into the assessment. Including data from recreational fishing can change perceptions of stock status and impact recommendations for harvest strategies and management action. An understanding of recreational fishery dynamics should be prioritised for some species. |
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| Keywords: | Australia blue eye trevalla resource allocation simulation modelling sport fishing striped marlin |
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