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JMC talk edits to text.
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andrew-edwards committed Mar 1, 2022
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33 changes: 23 additions & 10 deletions beamer/JMC/presentation/beamer-hake-JMC.rnw
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\mode<presentation>
\usetheme[compress]{Singapore} %Berkeley, Palo Alto, Singapore, Warsaw
%\usecolortheme{seagull} %Beaver, dolphin, dove, lily, orchid, seagull, seahorse
% Command line building in R (obviously repeat the latex step if running fresh):
% knitr::knit("beamer-hake-JMC.rnw")
% shell("latex beamer-hake-JMC"); shell("dvips beamer-hake-JMC"); shell("ps2pdf beamer-hake-JMC.ps")


%\usefonttheme{serif}
% font themes: default, professionalfonts, serif, structurebold, structureitalicserif, structuresmallcapsserif
Expand Down Expand Up @@ -701,7 +705,9 @@ Extra & 2022 & 525,000 & Start of 2023 & 0.31 & 0.69 & 1.54 \\
\item the 2021 catch of 325,000~t is 64\%
\item the 2021 TAC of 473,880~t is 79\%
\ei
But large uncertainty, e.g., 5\% chance that 430,000~t is $>$100\% in 2022.
But large uncertainty,
with upper end of credible interval reaching $>$100\%
in most cases shown here.
\end{column}
\begin{column}{0.65\textwidth}
<<decisions.spr.table, results='asis', echo=FALSE>>=
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\item Projections strongly influenced by size of above-average 2014 and 2016
cohorts, 2017 still looks to be average, 2018 and 2019 small, and
2020 large (but still highly uncertain).
\item There is $<50\%$ chance that spawning biomass will decline from
\item Spawning biomass will likely increase from
% There is $<50\%$ chance that spawning biomass will decline from
\Sexpr{assess.yr} to \Sexpr{assess.yr+1} for any catch $\leq 473,880$~t.
\item But $>50\%$ chance that spawning biomass will decline from
\Sexpr{assess.yr+1} to \Sexpr{assess.yr+2} for any catch stream evaluated $>0$~t.
Driven by expected growth of the large 2020 cohort.
\item But then likely decline from
% $>50\%$ chance that spawning biomass will decline from
\Sexpr{assess.yr+1} to \Sexpr{assess.yr+2} for any catch evaluated $>0$~t.
\item Maintaining a constant catch of 473,880~t (the 2021 TAC) gives a 11\%
chance of falling below $B_{40\%}$ in 1 year (21\% in 2 years' time).
\item Overall, we estimate probabilities of future events, and analyses
of past projections
give some idea of the confidence we can have in those probabilities.
\ei
}
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\item Low proportion of young fish (ages 1--3) in 2021 fishery
\item Above average 2014 and 2016 cohort biomass: mortality outpacing growth (36\% and 34\%
decline, respectively, from beginning of 2021)
\item Spawning stock biomass relatively high (65\% of $B_0$), but steady decline over recent years:
\item Median spawning stock biomass relatively high (65\% of $B_0$), but
steady recent year-upon-year declines:
\bi
\item SSB(2019) to SSB(2020): -9\%
\item SSB(2020) to SSB(2021): -12\%
\item SSB(2021) to SSB(2022): -13\%
\item $B_{2019}$ to $B_{2020}$: -9\%
\item $B_{2020}$ to $B_{2021}$: -12\%
\item $B_{2021}$ to $B_{2022}$: -13\%
\ei
\item The 2020 year class currently estimated to be above average
\item The model estimates a \Sexpr{joint.percent.prob.above.below}\%
Expand All @@ -951,10 +962,12 @@ Extra & 2022 & 525,000 & Start of 2023 & 0.31 & 0.69 & 1.54 \\
\bi
\item Timeline was very tight this year
\item JTC being asked to do more with less
\item Technology helping, but bottlenecks remain
\item Given 18 business 'working' days this year (data deadline to draft assessment due date)
\item Technology `helping', but bottlenecks remain
\item Only 18 business `working' days this year (data deadline to
due date of draft assessment)
\item Required 24/7 work schedules to complete on time
\item Extremely taxing on analysts (not sustainable)
\item Not obvious beforehand what will suck up the time.
\ei
\end{column}
\begin{column}{0.5\textwidth}
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