dataspm {MQMF}

dataspm A data.frame of fisheries catch and cpue data

Description

A data.frame containing 31 years of catch, standardized cpue, number of records, and the unstandardized geometric mean cpue for Pink Ling (Genypterus blacodes). The fisheries data can be used in the surplus production modelling in Chapter 7. Initial parameter estimates very close to the optimum values could be param <- log(c(r=0.25, K=5500, Binit=3000,sigma=0.2)) for the Schaefer model and log(c(r=0.15, K=6500, Binit=3000, sigma=0.2)) for the Fox model

Format

A 31 x 5 data.frame

year

the year from 1986 t0 2016

catch

the catch in tonnes to the nearest 100kg

cpue

the standardized cpue scaled to the mean of the series

records

the number of records making up the yearly totals

geom

the naive geometric mean cpue of the raw data as kg/hr, also rescaled to the mean of the series

Subjects

• Fishery data-set

• Surplus Production Modelling

• Log-Normal likelihoods

Source

Haddon, M. and M. Sporcic (2017) Catch rate standardizations for selected SESSF Species (data to 2016) pp 43-406 in Tuck, G.N. (ed) Stock Assessment for the Southern and Eastern scalefish and shark fishery 2016 and 2017. 837 pp. ISBN 978-1-4863-1012-8 data extracted from Table 7.96 PinkLing4050 page 216.

Examples

 data(dataspm)
 oldpar <- par(no.readonly=TRUE)
 plot(dataspm$year,dataspm$geom,type="l",lwd=2,xlab="Year",
 ylab="CPUE",panel.first=grid())
 lines(dataspm$year,dataspm$cpue*mean(dataspm$geom),lwd=2,col=2)
 legend("topright",c("cpue","geom"), col=c(1,2), lwd=3, bty="n",
 cex=1.2)
 par(oldpar)