(Western) Channel Fisheries UK Trevor Hutton, Aaron Hatcher, Finlay Scott, Alyson Little, Charlie Edwards, Tom Carruthers cemare Imperial College.

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(Western) Channel Fisheries UK Finlay Scott, Trevor Hutton, Alyson Little, Aaron Hatcher cemare.

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Presentation transcript:

(Western) Channel Fisheries UK Trevor Hutton, Aaron Hatcher, Finlay Scott, Alyson Little, Charlie Edwards, Tom Carruthers cemare Imperial College

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

Area of study: boundaries

Effort, F, SSB, LPUE, etc

Long –term maximum yield ~ O.26 Stock recruitment relationship

Management and Enforcement issue Over quota (evidence of cod, sole) Declaring Sole (VIIe) as sole landed in VIId()

Sources of Data SeaFish – economic data MFA – enforcement data

UK beam >221kw ( 221kw (<30m) Technical characteristics

e.g. UK beam >221kw ( 221kw (<30m) Added up all variable costs And all fixed costs Economic characteristics

Enforcement data – FROM MFA

Enforcement data - Costs

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)

Enforcement relationships

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

Catch over time (vary F: TAC + X) Catch (tonnes)

Shadow value biomass Harvest (tonnes) Euros per tonne V is social value We vary (e) thus x, And compute v and V

Maximise Social Benefit Demo…

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.)