Adding the risk of stock collapse over time to stock assessments and harvest allocation decisions

Abstract Globally, many fisheries have experienced collapse even though most of these fisheries had management plans with harvest control rules and were supported by scientific modelling that explicitly accounted for uncertainty. Recognizing that an informed decision on risks of a stock collapse ver...

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Veröffentlicht in:ICES journal of marine science 2024-09, Vol.81 (7), p.1234-1246
Hauptverfasser: Blanz, Benjamin, Cormier, Roland, Swain, Douglas, Held, Hermann
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container_title ICES journal of marine science
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creator Blanz, Benjamin
Cormier, Roland
Swain, Douglas
Held, Hermann
description Abstract Globally, many fisheries have experienced collapse even though most of these fisheries had management plans with harvest control rules and were supported by scientific modelling that explicitly accounted for uncertainty. Recognizing that an informed decision on risks of a stock collapse versus harvest is only possible when the outcomes of the technical measures are described explicitly. We propose that the cumulative probability of stock collapse over a range of harvest levels would provide a perspective of the future consequences of harvesting decisions. Adding to the harvest level negotiations the consideration of how long a fishery should sustain the livelihoods of fishers may provide managers, fishers, and other stakeholders with a more tangible understanding of the risks within the context of precautionary principles in decision-making. We use a time series from the Canadian Cod fishery of the Southern Gulf of St. Lawrence, from which we construct and calibrate a simplified model as an emulator of more comprehensive models to demonstrate the approach. The implications of adding an analysis of the probabilities of stock collapse for a range of harvest levels and using a risk matrix to inform decision-making are discussed for four selected years 1974, 1986, 1993, and 2017.
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title Adding the risk of stock collapse over time to stock assessments and harvest allocation decisions
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