MULTIFAN-CL : a length-based, aged-structured model for fisheries stock
assessment, with application to South Pacific albacore, Thunnus
Alalunga. (David A.
Fournier, John Hampton, and John R. Sibert) (pdf - 287k)
We introduce
a
length-based, age-structured model, MULTIFAN-CL, that provides an
integrated method of estimating catch age composition, growth parameters,
mortality rates, recruitment, and other parameters, from time series of
fishery catch, effort, and length frequency data. The method incorporates
Bayesian parameter estimation, estimation of confidence intervals for
model parameters, and procedures for hypothesis testing to assist model
development. We apply the method to South Pacific albacore (Thunnus
alalunga) fishery data, and demonstrate the incorporation of model
structure such as spatial heterogeneity, age-dependent natural mortality
and movement rates, time series trends and seasonal variation in
catchability, and density-dependent growth. Consistency of the results of
the albacore analysis with various exogenous sets of biological and
environmental data give credence to the model results.
A spatially disaggregated,
length-based, age-structured population model of yellowfin
tuna (Thunnus albacares) in the western and central Pacific Ocean. (Hampton, J., and D.A. Fournier.
2001). (pdf - 4502k)
A spatially disaggregated,
length-based, age-structured model for yellowfin tuna (Thunnus albacares)
in the western and central Pacific Ocean is described. Catch, effort,
length-frequency and tagging data stratified by quarter (for the period
1962.... 99), seven model regions and 16 fisheries are used in the
analysis. The model structure includes quarterly recruitment in each
region, 20 quarterly age classes, independent growth patterns for
juveniles and adults, structural time-series variation in catchability for
all non-longline fisheries, age-specific natural mortality, and
age-specific movement among the model regions. Acceptable fits to each
component data set comprising the log-likelihood function were obtained.
The model results suggest that declines in recruitment, and as a
consequence, population biomass, have occurred in recent years. Although
not obviously related to over-exploitation, the recruitment decline
suggests that the productivity of the yellowfin tuna stock may currently
be lower than it has been previously. Recent catch levels appear to have
been maintained by increases in fishing mortality, possibly related to
increased use of fish aggregation devices in the purse-seine fishery. A
yield analysis indicates that average catches over the past three years
may have slightly exceeded the maximum sustainable yield. The model
results also reveal strong regional differences in the impact of fishing.
Such heterogeneity in the fisheries and the impacts on them will need to
be considered when future management measures are designed.
Fournier, D., and Archibald, C.P. (1982). A general
theory for analyzing catch at age data. Canadian Journal of Fisheries and
Aquatic Sciences} 39, 1195-1207.
Fournier, D.A., Sibert, J.R., Majkowski, J., and
Hampton, J. (1990). MULTIFAN:
a likelihood-based method for estimating growth parameters and age
composition from multiple length frequency data sets illustrated using
data for southern bluefin tuna (Thunnus maccoyii). Canadian Journal
of Fisheries and Aquatic Sciences 47,
301-317.
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