DLMtool (version 3.2.3)

DLMtool-package: Data-Limited Methods Toolkit

Description

Simulation testing and implementation of data-limited fishery stock assessment methods

References

Carruthers, T.R., Punt, A.E., Walters, C.J., MacCall, A., McAllister, M.K., Dick, E.J., Cope, J. 2014. Evaluating methods for setting catch limits in data-limited fisheries. Fisheries Research. 153: 48-68. Carruthers, T.R., Kell, L.T., Butterworth, D.S., Maunder, M.N., Geromont, H.F., Walters, C., McAllister, M.K., Hillary, R., Levontin, P., Kitakado, T., Davies, C.R. Performance review of simple management procedures. ICES Journal of Marine Science.

Examples

# --- Application to real fishery data ---
library(DLMtool)
library(snowfall)              # load package for parallel computing
sfInit(parallel=TRUE,cpus=2)   # initiate the cluster with two cpus

mydata<-new('DLM_data')        # create a new DLM data object and define:
mydata@Year<-2001:2010         # years
mydata@Cat<-matrix((11:20)*10*runif(10,0.5,1.5),nrow=1) # make up some annual catches
mydata@Ind<-matrix(seq(1.1,0.9,length.out=10)*runif(10,0.5,1.5),nrow=1) 
mydata@Mort<-0.2               # instantaneous natural mortality rate
mydata@Abun<-1000              # current abundance estimate (biomass)
mydata@FMSY_M<-0.5             # guess of the ratio of FMSY to natural mortality rate
mydata@vbLinf<-200             # maximum length
mydata@vbK<-0.2                # von B growth coefficient k
mydata@LFC<-50                 # length at first capture
mydata<-TAC(mydata)            # calculate quotas
plot(mydata)                   # plot them
mydata<-Sense(mydata,'Fratio') # conduct a sensitivity analysis for one of the methods

sfStop()