Alternatives for updating AEQ analysis and prioritizing data needs

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Presentation transcript:

Alternatives for updating AEQ analysis and prioritizing data needs

Bycatch history EBS pollock

General steps Compile PSC statistics a. Total bycatch by season (Table 1) b. Length and sex composition of the bycatch c. Date and location Convert seasonal length compositions to PSC by age Apply oceanic survival and maturity-at-age Use genetic stock ID information (Table 5) Run the AEQ model (1994-2017) and summarize Compare subset with available run-strength estimates Modifications Change effective growth assumption in recent period

Chinook salmon bycatch by season and fleet category, pollock fishery Table 1 in document Just PSC total

Chinook salmon proportions at length Season specific length frequencies sampled by observers 9/29/2019

Chinook salmon proportions at length

Chinook salmon measurements… EBS A and B

EBS vs GOA Chinook salmon proportions…

EBS vs GOA Chinook salmon measurements…

What-if ages wrong… younger at size Ohlberger et al. 2018 suggest change over time Modified 2008-2017 data to be on average a half year younger…for A-season Ohlberger et al. 2018 suggest some changes over time 9/29/2019

What-if ages wrong… older at size Modified 2008-2017 data to be on average a half year older…for A-season

Time series of total Chinook salmon AEQ 9/29/2019

Time series of total Chinook salmon AEQ 9/29/2019

Applying genetics stock ID estimates… 9/29/2019

Chinook salmon bycatch stock composition estimates (Source: ABL Publications) From ABL, what Council has received

Chinook salmon AEQ estimates, 1994-2017 This shows individual time trends on same scale, shows that Coastal West Alaska stocks were highest, NOTE that the time series extends from 1994 through 2017—the genetics data are only from 2011-2016, the years where the information was unavailable were based on the average stock composition estimates (from years where data exist) and the inter-annual variability

Chinook salmon AEQ estimates, 1994-2017 (rescaled) Scales vary here, to see how bycatch AEQ varies in patterns (instead of scale)

Chinook salmon AEQ estimates, 1994-2017, growth shifts… This shows individual time trends on same scale, shows that Coastal West Alaska stocks were highest, NOTE that the time series extends from 1994 through 2017—the genetics data are only from 2011-2016, the years where the information was unavailable were based on the average stock composition estimates (from years where data exist) and the inter-annual variability

Chinook salmon bycatch AEQ Estimates This is revised from previous version and is now posted to June 2018 council agenda

Chinook salmon run-strength estimates (courtesy of ADFG) 2017 9/29/2019 2017

Regional impact estimates (under different growth alternatives)

Chinook salmon AEQ / run strength

Chinook salmon AEQ / run strength

Coastal western Alaska stocks 9/29/2019

Combined western Alaska stocks

Chum salmon

Chum salmon

Chum salmon

Chum salmon

Summary AEQ Length frequency data: Seems to be smaller in recent years B-season generally smaller/younger Chinook salmon Sample sizes of length measures much lower in EBS since census period GOA sample sizes remain high (for length measurements) Growth changes affect results slightly What-ifs based on aassumed growth changes (no basis for actual values chosen!!) The need to age samples would improve estimates