annotated bibliography of fisheries economics literature - Office of ...

Bioeconomic Model to Evaluate Changes in Fishing Mortality in the
United States Atlantic Silver Hake Fisheries." Economics
Investigation and Population Dynamics Branch, Northeast Fisheries
Science Center, National Marine Fisheries Service, 166 Water
Street, Woods Hole, MA, 21 pp.
In this paper, a bioeconomic model of the USA whiting fishery is
developed. The biological component incorporates age-structured models of
whiting stocks while an economic component accounts for size based pricing. A
revenue response surface is derived that gives the maximum revenue obtainable
from systematically varying fishing mortality and age specific selection
patterns. A stochastic recruitment function is used that permits assessment
of revenue and yield trajectories over time, as well as their associated
probability distributions.
Thunberg, E.M., T.E. Helser, and R.K. Mayo (1994). "An Age-Structured
Bioeconomic Model to Evaluate Changes in Fishing Mortality in the
United States Atlantic Silver Hake Fisheries." C.M. 1994/T:7,
Theme Session on Improving the Link Between Fisheries Science and
Management: Biological, Social, and Economic Considerations,
International Council for the Exploration of the Sea, St. John's,
Newfoundland, Canada, September, 21 pp.
Silver hake or whiting (Merluccius bilinearis) range from Newfoundland
to South Carolina. The resource has traditionally supported a U.S.A. fishery
on the adult component of the stock. However, with developing markets for
juveniles and the possibility of increased effort, managers and industry have
expressed concern over the health of whiting stocks that are already
considered to be fully exploited. Market prices for whiting are based upon
its size and therefore, managers are concerned not only with the overall
fishing mortality rate but with how a directed fishery on juveniles may affect
the age structure of the population.
Age structured models can be used to evaluate changes in population
structure. However, without an understanding of the economic value of
different size components, biological models alone provide incomplete
management guidance. In this paper, a bioeconomic model of the USA whiting
fishery is developed. The biological component incorporates age-structured
models of whiting stocks while an economic component accounts for size based
pricing. A revenue response surface is derived that gives the maximum revenue
obtainable from systematically varying fishing mortality and age specific
selection patterns. A stochastic recruitment function is used that permits
assessment of revenue and yield trajectories over time, as well as their
associated probability distributions.
Thunberg, E.M., T.E. Helser, and R.K. Mayo (1996). "Bioeconomic
Analysis of Alternative Selection Patterns in the United States
Atlantic Silver Hake Fishery." Social Science Branch and
Population Dynamics Branch, Northeast Fisheries Science Center,
National Marine Fisheries Service, 166 Water Street, Woods Hole,
MA.
In this paper, a bioeconomic simulation of the U.S. fisheries for silver
hake, Merluccius bilinearis, is presented. The model design combines elements
of age-structured population and harvest yield models with economics of the
silver hake fishery. The analysis evaluates both biological and economic
effects of interest to managers, such as future yields or rebuilding of
parental stock as well as future revenues and net returns to vessels. The
bioeconomic model is used to evaluate the economic implications of tradeoffs
between alternative selection patterns in the U.S. Atlantic silver hake
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