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zHLd~4;1in|-YOt2={ef!t^mR|GmI5VI)G8(lbZX21A@^*S;f9GWPEY5ykfW~d7IdM zk+(=67@s4%S_D>rfYC=L?HB;-btjfwaybfyw;0xvt-AptYR@-Z=>`MGq2rnQw?NNt zyU?3H9_WziWu6P?gZ8o~yri0Qu##Q;u^@FDXsEp@aNc+nR(Tdaf7M?K%X)@`SE>eq zM$ryW+m&{!LT|zEkd~@0`v?+n9W9J1e|~k7+mB#n z9+Q1;H32Je!3D}r!(ep3&%|VxDy*$NuJ7ho0jrPbwHGeUfiy3_~&@=tx)PV?o< zmoHzweEI&}WiXfmUoOPp1sS1zti5awHQ& z%h%Zr7b1Tyc5&E$`SYUtz5JI?{floVZvvr{cM}tz2mbmzoIP2bspm1ZbH*N)FKfBW T{>jHru0H=8ePWMpu`K`q$>E2# literal 0 HcmV?d00001 diff --git a/Rscripts/pacfin_ashop_comps.R b/Rscripts/pacfin_ashop_comps.R new file mode 100644 index 0000000..d23d297 --- /dev/null +++ b/Rscripts/pacfin_ashop_comps.R @@ -0,0 +1,37 @@ +# PacFIN comps ------------------------------------------------------------ + +load(here('Data/Confidential/Commercial/pacfin_12-11-2024/PacFIN.YTRK.bds.11.Dec.2024.RData')) + +comm_catch <- readRDS('Data/processed/ss3_landings_2023.rds') |> + filter(fleet == 1, year >= 1981) |> + select(year, catch) + +bds_clean <- PacFIN.Utilities::cleanPacFIN(bds.pacfin, keep_age_method = c('B', 'S')) |> + filter(age_method != 'L', # n = 1 + age_method != 'T', # n = 2, + age_method != '', # n = 33 + age_method != 'S' | state != 'WA' # n = 99, keep OR surface reads for now + ) + +w_l_pars <- read.csv('Data/processed/W_L_pars.csv') + +# length expansions +pacfin_exp1 <- PacFIN.Utilities::getExpansion_1(Pdata = bds_clean, + fa = w_l_pars$A[w_l_pars$Sex == 'F'], + fb = w_l_pars$B[w_l_pars$Sex == 'F'], + ma = w_l_pars$A[w_l_pars$Sex == 'M'], + mb = w_l_pars$B[w_l_pars$Sex == 'M'], + ua = w_l_pars$A[w_l_pars$Sex == 'B'], + ub = w_l_pars$B[w_l_pars$Sex == 'B']) + +pacfin_exp2 <- pacfin_exp1 |> + mutate(fleet = 'catch') |> + PacFIN.Utilities::getExpansion_2(Catch = comm_catch, + Units = 'MT', + stratification.cols = 'fleet') |> + mutate(Final_Sample_Size = PacFIN.Utilities::capValues(Expansion_Factor_1_L * Expansion_Factor_2, + maxVal = 0.80)) # where does the 0.8 come from? + +comps <- PacFIN.Utilities::getComps(pacfin_exp2, + strat = 'fleet', + Comps = 'LEN') diff --git a/docs/data_summary_doc.qmd b/docs/data_summary_doc.qmd index ce2ef84..98cb118 100644 --- a/docs/data_summary_doc.qmd +++ b/docs/data_summary_doc.qmd @@ -111,17 +111,6 @@ comm_draft_landings <- yt_n_catch_pacfin |> group_by(YEAR, AGENCY_CODE) |> summarise(catch_mt = sum(catch_mt)) -# 2017 assessment landings -comm2017 <- read.csv(here("Data/Raw_not_confidential/commercial_catch_2017.csv")) |> - as_tibble() |> - tidyr::replace_na(list(Mirick.reconstructed.POP1.URCK = 0)) |> - mutate(O = OR.Recent..MT. + Mirick.reconstructed.POP1.URCK + OR.Hist..MT., - W = as.numeric(stringr::str_remove(WA, ','))) |> - select(Year, W, C = CA.North..MT., O) |> - filter(Year >= 1981) |> - tidyr::pivot_longer(-Year, names_to = 'AGENCY_CODE', values_to = 'catch_mt') |> - mutate(model = '2017') - # landings by state comm_draft_landings |> ggplot() + @@ -150,6 +139,18 @@ yt_n_catch_pacfin |> labs(fill = "PacFIN gear group\n(MDT = midwater trawl)", x = 'YEAR') #+ # viridis::scale_fill_viridis(discrete = TRUE) # colors were hard to see in viridis +# 2017 assessment landings +comm2017 <- read.csv(here("Data/Raw_not_confidential/commercial_catch_2017.csv")) |> + as_tibble() |> + tidyr::replace_na(list(Mirick.reconstructed.POP1.URCK = 0)) |> + mutate(O = OR.Recent..MT. + Mirick.reconstructed.POP1.URCK + OR.Hist..MT., + W = as.numeric(stringr::str_remove(WA, ',')), + C = CA.North..MT. + CA.North.Hist..MT.) |> + select(Year, W, C, O) |> + # filter(Year >= 1981) |> + tidyr::pivot_longer(-Year, names_to = 'AGENCY_CODE', values_to = 'catch_mt') |> + mutate(model = '2017') + # compare 2017 landings to current landings, by state comm_draft_landings |> rename(Year = YEAR) |> @@ -177,7 +178,13 @@ WDFW has alerted the STAT these do not include all tribal catches in recent year Oregon landings were provided directly to the STAT from ODFW and come from PacFIN and a UPOP/URCK reconstruction. -California landings are for catch landed into Del Norte and Humboldt counties only. +California landings are for catch landed into Del Norte and Humboldt counties only. Data sources are: + +- Ralston et al. (2010) + supplementary catch from OR waters: 1916 - 1968 +- CALCOM: 1969 - 1980 +- PacFIN: 1981 - present + +In the Ralston et al. (2010) reconstruction, the northernmost region (region 2) includes Crescent City, Eureka AND Fort Bragg port area groups. Catch in the Crescent City and Eureka port area groups (i.e., Del Norte and Humboldt counties) is estimated based on the fraction of catch in Crescent City and Eureka divided by catch in all of region 2 during the first five years of CALCOM. The vast majority of the catch is in the two northern port areas (`r round(calcom_ratio$pct_n_40_10 * 100, 0)`\%). All supplementary catches in the Ralston reconstruction caught off the coast of Oregon, but landed into California are included. ### At-Sea landings @@ -188,7 +195,7 @@ ashop_catch <- readxl::read_excel( mutate(catch_mt = EXPANDED_SumOfEXTRAPOLATED_2SECTOR_WEIGHT_KG / 1000) # compare to 2017 -dat2017 <- r4ss::SS_readdat(here('Model_Runs/base_2017_3.30.23/YTRK.NORTH.data.ss')) +dat2017 <- r4ss::SS_readdat(here('Model_Runs/1.02_base_2017_3.30.23/YTRK.NORTH.data.ss')) ashop2017 <- dat2017$catch |> filter(fleet == 2) |> @@ -362,7 +369,7 @@ ralston_rec <- readxl::read_excel( rename(RECFIN_YEAR = Year) # Put it all together -bind_rows( +rec_landings <- bind_rows( or_rec_catch, wa_modern, tidyr::pivot_longer(wa_historical, cols = -RECFIN_YEAR, names_to = 'State', values_to = 'Dead_Catch'), @@ -371,7 +378,26 @@ bind_rows( ca_mrfss_catch, ca_mrfss_interpolate, ralston_rec - ) |> + ) + +# rec_landings |> +# filter(State != 'WA (num)') |> +# mutate(fleet = ifelse(State == 'WA (mt)', 'WA', 'OR/CA')) |> +# group_by(RECFIN_YEAR, fleet) |> +# summarise(Dead_Catch = sum(Dead_Catch)) |> +# mutate(model = 'current') |> +# bind_rows({ +# filter(dat2017$catch, fleet %in% 3:4) |> +# mutate(fleet = ifelse(fleet == 3, 'OR/CA', 'WA'), +# model = '2017') |> +# select(RECFIN_YEAR = year, Dead_Catch = catch, fleet, model) +# }) |> +# ggplot() + +# geom_line(aes(x = RECFIN_YEAR, y = Dead_Catch, col = fleet, linetype = model), +# linewidth = 1) +# This is bizarre, it is as if WA was actually entered in mt, even though it is specified in numbers. + +rec_landings |> tidyr::pivot_wider(names_from = 'State', values_from = 'Dead_Catch', values_fill = 0) |> rename(YEAR = 'RECFIN_YEAR') |> arrange(YEAR) |> @@ -413,6 +439,40 @@ For CA rec catch estimates for the assessment: In addition, Albin ratio (1) is used to calculate what fraction of N. CA catches from the Ralston recreational reconstruction are in the assessment area. +```{r ss3-landings} +rec_landings_ss3 <- rec_landings |> + filter(State != 'WA (num)') |> + group_by(RECFIN_YEAR) |> + summarise(catch = sum(Dead_Catch)) |> + rename(YEAR = RECFIN_YEAR) + +comm_landings_ss3 <- comm2017 |> + filter(AGENCY_CODE == 'W', Year < 1981) |> + rename(YEAR = Year) |> + bind_rows(comm_draft_landings) |> + select(-model) |> + group_by(YEAR) |> + summarise(catch = sum(catch_mt)) + +ss3_landings <- bind_rows(list( + comm_landings_ss3, + select(ashop_catch, YEAR, catch = catch_mt), + rec_landings_ss3 + ), .id = 'fleet') |> + mutate(seas = 1, catch_se = 0.05) |> + rename(year = YEAR) |> + select(names(dat2017$catch)) |> + as.data.frame() + +ss3_landings |> + saveRDS(file = here('Data/Processed/ss3_landings_2023.rds')) + +ss3_landings |> + filter(year < 2017) |> + saveRDS(file = here('Data/Processed/ss3_landings_2016.rds')) +``` + + ## Comp Data ### Commercial @@ -421,7 +481,10 @@ Initial length sample sizes after running `PacFIN.Utilities::cleanPacFIN()`: ```{r comm-bio, cache=TRUE} load(here('Data/Confidential/Commercial/pacfin_12-11-2024/PacFIN.YTRK.bds.11.Dec.2024.RData')) -bds_clean <- PacFIN.Utilities::cleanPacFIN(bds.pacfin, verbose = FALSE) +bds_clean <- PacFIN.Utilities::cleanPacFIN(bds.pacfin)#, verbose = FALSE) + +# to figure out, why is clean pacfin filtering out OR ages before 1981. + bds_clean |> filter(state == 'WA' | state == 'OR' | PACFIN_GROUP_PORT_CODE == 'CCA' | PACFIN_GROUP_PORT_CODE == 'ERA', geargroup != 'XXX') |> @@ -452,10 +515,6 @@ bds_clean |> knitr::kable(align = 'l', digits = 1) ``` -Note that California lengths are not yet available for 2023. - -While running `PacFIN.Utilities::cleanPacFIN()`, it noted that 20 Washington ages in 1991 were double read, the second reader was not recorded, the first and second ages differed, and no final age was determined. - #### Comparing midwater vs bottom trawl lengths and ages The length and age distribution associated with the midwater trawl (MDT) code in PacFIN is is very similar to bottom trawl catch (everything else in the TWL gear group). 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