A retrospective investigation of selectivity for Pacific halibut CAPAM Selectivity workshop
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Transcript of A retrospective investigation of selectivity for Pacific halibut CAPAM Selectivity workshop
A retrospective investigation of selectivity for Pacific halibut
CAPAM Selectivity workshop14 March, 2013
Ian Stewart & Steve Martell
Years Model Issues
Pre-1977 Yield, yield-per-recruit, simple stock-production models No growth or recruitment variability
1978-1981 Cohort analysis, coastwide, natural mortality (M)=0.2 Unstable estimates
1982-1983 Catch-AGE-ANalysis (CAGEAN; age-based availability), coastwide, M=0.2
Migratory dynamics not accounted for
1984-1988 CAGEAN, area-specific, migratory and coastwide, M=0.2 Trends differ by area
1989-1994 CAGEAN, area-specific, M=0.2, age-based selectivity Retrospective pattern
1995-1997 Statistical Catch-Age (SCA), area-specific, length-based selectivity, M=0.2
M estimate imprecise
1998-1999 SCA, area-specific, length-based selectivity, M=0.15 Poor fit to data
2000-2002 New SCA, area-specific, constant age-based selectivity, M=0.15
Retrospective pattern
2003-2006 SCA, area-specific, constant length-based selectivity, M=0.15
Migratory dynamics created bias
2006-2011 SCA, coastwide, constant length-based selectivity, M=0.15
Retrospective pattern
Assessment model evolution
Interim II: Length-based selectivity
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Figure from: Clark and Hare, 2004
Factors contributing to selectivity:- Highly dimorphic growth- Size-at-age: temporal trends and differences by area- Fishery minimum size limit- Hook-size effects – few small fish observed
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Age 6 05
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Age 7 05
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Age 8 010
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Age 9 010
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Age 10
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Age 11 020
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Age 12 020
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Age 13 020
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Age 14 020
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Age 15
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Age 16 050
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Age 17 050
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Age 18 050
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Age 19 050
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Age 20
Weig
ht
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lbs)
Year (1926 to 2011)
Historical weight-at-age
(Ageing methods, sampling locations, selectivity itself, etc. may bias these trends)
Directly observed gear selectivity (vulnerability)
Based on Didson acoustic camera observations (S. Kaimmer; In prep)
Length-based selectivity: area (vulnerability) vs. coast-wide (vulnerability + availability)
Changes in proportional abundance
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Differences in: - Biology (age, length, length-at-age) - Vulnerability
Length-based selectivity: area (vulnerability) vs. coast-wide (vulnerability + availability)
Coast-wide “average” selectivity changes over time
Spatial approaches: Separate stocks < 2006
J.D. Herder 2008
Fishery
J.D. Herder 2008
Survey
J.D. Herder 2008
Survey
J.D. Herder 2008
Fishery
J.D. Herder 2008
FisheryJ.D. Herder 2008
Survey
J.D. Herder 2008
Survey
J.D. Herder 2008
Fishery
Spatial approaches: coastwide dynamics 2006+
J.D. Herder 2008
Fishery
J.D. Herder 2008
Survey
Population
Non-parametric length-based selectivity
Inputs:Minimum size binBin at which selectivity = 1.0Maximum size binType switchSDsize
SDtime (added this year)
Specifications:Operates on 10cm binsSex-specificType: Asymptotic, ‘Ramp’, or domed above size bin = 1.0Smoother for second difference b/w adjacent sizes within yearSmoother for second difference b/w adjacent years within size binYears for which to estimate separate curvesScaled by sex-specific catchability (so values above 1.0 are ok, since that bin is fixed)Catchability (q) can also vary among years
Crux: There is no underlying growth model, nor distribution of lengths for a given age.
The approach uses ‘true’ observed survey length-at-age to translate size- to age-based selectivity.
This is done via interpolating the values at age from the values at each bin.
Non-parametric length-based selectivity
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1995 1997 1999 2001 2003 2005 2007 2009 2011 2013
Spaw
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Increasing penalty on large recruitment estimates
Increasing penalty on large recruitment estimatesSS
Qs
Increasing initial recruitment penalty
Males
Females
Total
Secondary exploration: Investigate increasing the relative survey weight Explore process error in selectivity (time-varying)
Retrospective: Contributing factors
1) Transition from area-specific to coastwide model in 2006(and retaining the assumption of constant availability)
2) Changes in the coastwide population distribution3) Too much emphasis on the age data
(and not the survey trend)4) Short time-series
Looking forward:
Comparison of spatial modeling approaches: - Coast-wide: time-varying selectivity
- Implicitly spatial: fleets-as-time-periodsfleets-as-areas
- Explicitly spatial: Multi-area assessment
Once selectivity is treated as time-varying, either length- or age-based formulations can capture the process.