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Published byJoshua Reed Modified over 11 years ago
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(Western) Channel Fisheries UK Trevor Hutton, Aaron Hatcher, Finlay Scott, Alyson Little, Charlie Edwards, Tom Carruthers cemare Imperial College
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Introduction English Beam trawlers in South West (VIIe) High value fishery (£4.7 million) with regional importance Mixed demersal fishery – we focus on sole Historically, high level of misreporting (landings) Stock status – CPUE trends down, F above Fpa, Beamer effort increasing
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Area of study: boundaries
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Effort, F, SSB, LPUE, etc
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Long –term maximum yield ~ O.26 Stock recruitment relationship
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Management and Enforcement issue Over quota (evidence of cod, sole) Declaring Sole (VIIe) as sole landed in VIId()
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Sources of Data SeaFish – economic data MFA – enforcement data
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UK beam >221kw ( 221kw (<30m) Technical characteristics
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e.g. UK beam >221kw ( 221kw (<30m) Added up all variable costs And all fixed costs Economic characteristics
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Enforcement data – FROM MFA
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Enforcement data - Costs
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Calculating Social Benefit Fit enforcement relationships: –Cost of enforcement vs enforcement effort –Cost of enforcement vs probability of detection Estimate Shadow Value Biomass using bioeconomic model Estimate enforcement effort that maximises Social Benefit (using WP6 code)
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Enforcement relationships
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Bioeconomic model Simple projection model starting from latest WG assessment. Fitted stock-recruitment relationship Examined various overfishing scenarios by projecting under a range of constant F values –E.g. No overfishing F = F pa, harvest = TAC –Scenarios with higher F assumed to have lower enforcement effort Make a small change in initial biomass level, project forward again. Estimate profit and Shadow Value Biomass
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Catch over time (vary F: TAC + X) Catch (tonnes)
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Shadow value biomass Harvest (tonnes) Euros per tonne V is social value We vary (e) thus x, And compute v and V
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Maximise Social Benefit Demo…
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Future Estimate enforcement efforts that maximise Social Benefit Explore effects of different levels of enforcement efforts Conduct sensitivity analysis – see changes in surface under alternative scenarios (e.g. alternative values of SVB, costs etc.)
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