1 Software development WP6. 2 Application of FLR Generic Functions from Theory Key parameters...
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Transcript of 1 Software development WP6. 2 Application of FLR Generic Functions from Theory Key parameters...
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Software development
WP6
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Application of FLR• Generic
• Functions from Theory
• Key parameters (theory): q,x,shadow value,enf. cost, prob fine,f
• Case study specific
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Team
• CEFAS: “architecture” and documentation
• IC: modules for calculating new functions (penalty prob.; enforcement cost)
• AZTI: links FLR to databases
• JRC: testing solutions for less experienced users (web access version)
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• Requirement for development of generic code• Implement COBECOS theoretical approach on a
case-study basis• Each case-study has individual requirements• Guidance can be provided• Use simple relationships versus complex (MSE) –
depends on resources, data, linkages to other projects.
COBECOS requirements
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MANAGEMENT PROCEDUREAssess status of stock and set management options depending upon perceived status of fishery stock(s)
Management decision stage
Biological reference
points (e.g. MSY)
FLBRP
Management procedure
FLHCR
MANAGEMENT PROCEDUREAssess status of stock and set management options depending upon perceived status of fishery stock(s)
Management decision stage
Biological reference
points (e.g. MSY)
FLBRP
Management procedure
FLHCR
MANAGEMENT PROCEDUREAssess status of stock and set management options depending upon perceived status of fishery stock(s)
Management decision stage
Biological reference
points (e.g. MSY)
FLBRP
Management procedure
FLHCR
OPERATING MODELRepresents the “true” dynamics
of the system against which performance will be measured
Fleet dynamics
FLFleet
OPERATING MODELRepresents the “true” dynamics
of the system against which performance will be measured
Fleet dynamics
FLFleet
MODEL CONDITIONING
MODEL CONDITIONING
INITIAL CONDITIONS
INITIAL CONDITIONS
IMPLEMENTATION MODEL
FLEcon
IMPLEMENTATION MODEL
FLEcon
IMPLEMENTATION MODEL
FLEcon
IMPLEMENTATION MODEL
FLEcon
Assessment procedure
Assessment assumptions
Auxiliary information(e.g. tuning
indices)
FLIndices
Perceived stock
FLStock
Stock assessment (e.g. VPA)
FLAssess
Assessment procedure
Assessment assumptions
Auxiliary information(e.g. tuning
indices)
FLIndices
Perceived stock
FLStock
Stock assessment (e.g. VPA)
FLAssess
Assessment assumptions
Auxiliary information(e.g. tuning
indices)
FLIndices
Perceived stock
FLStock
Stock assessment (e.g. VPA)
FLAssess
Population biology
Stock dynamics
FLBiol
Stock processese.g. Recruitment
FLSR
Population biology
Stock dynamics
FLBiol
Stock processese.g. Recruitment
FLSR
Stock dynamics
FLBiol
Stock processese.g. Recruitment
FLSR
SUMMARY STATISTICS
Used to evaluate performance of management procedures
against objectives.
SUMMARY STATISTICS
Used to evaluate performance of management procedures
against objectives.
OBSERVATION ERROR MODEL
Generation of data on fishery and
stocks.
FLOEM
OBSERVATION ERROR MODEL
Generation of data on fishery and
stocks.
FLOEM
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• Code for computation of (Fbiol, FLEcon)?– Derive – Monte carlo
• Other functions? (regressions etc)
• Within case study: resources required! (dedication of participants – at case study level)
• Workshop (FLR – one day at IC September)
Work-plan