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

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Atmospheric Administration, National Marine Fisheries Service,<br />

Southeast Fisheries Center, 75 Virginia Beach Drive, Miami,<br />

Florida.<br />

The usefulness <strong>of</strong> virtual population analysis (VPA) for estimating<br />

mortality and population size independently <strong>of</strong> fishing effort data has led to<br />

detailed analyses <strong>of</strong> the quality <strong>of</strong> the estimates given various sources <strong>of</strong><br />

error in the inputs. For the most part, these studies have dealt with the<br />

possible consequences <strong>of</strong> using erroneous inputs or inputs characterized by<br />

some degree <strong>of</strong> uncertainty. Largely ignored in the <strong>literature</strong> is the problem<br />

<strong>of</strong> biases due specifically to systematic errors in ageing. In this study, we<br />

use simulation analysis to examine the performance <strong>of</strong> three methods to handle<br />

the plus group. The analyses that follow are focused on the effects that<br />

systematic ageing errors may have on the conclusions drawn from the VPAs. The<br />

simulations are loosely based on swordfish (Xiphias gladius) data from the<br />

North Atlantic.<br />

Restrepo, Victor R., Joseph E. Powers, and Steven C. Turner (1990).<br />

"Incorporating Uncertainty in VPA Results Via Simulation." ICCAT<br />

Working Document, SCRS/90/, Cooperative Institute for Marine and<br />

Atmospheric Studies, Rosenstiel School <strong>of</strong> Marine and Atmospheric<br />

Science, University <strong>of</strong> Miami, 4600 Rickenbacker Causeway, Miami,<br />

Florida and U.S. Department <strong>of</strong> Commerce, National Oceanic and<br />

Atmospheric Administration, National Marine Fisheries Service,<br />

Southeast Fisheries Center, 75 Virginia Beach Drive, Miami,<br />

Florida.<br />

Simulation methods are employed to allow incorporation <strong>of</strong> uncertainty in<br />

input parameters to the ADAPT VPA methodology. Empirical probability<br />

distributions describing the VPA results are developed using Monte Carlo<br />

techniques. The methodology described allows for incorporation <strong>of</strong> uncertainty<br />

parameters that are either internal or external to the ADAPT methodology.<br />

Restrepo, V.R., G.P. Scott, and J.E. Powers (1991). "Analysis <strong>of</strong> North<br />

Atlantic Swordfish Catch-At-Age Data Under Alternative Hypotheses<br />

About Growth and Sex Ratio." ICCAT Working Document, SCRS/91/47,<br />

CIMAS, University <strong>of</strong> Miami, 4600 Rickenbacker Causeway, Miami, FL,<br />

and NMFS, Southeast Fisheries Center, 75 Virginia Beach Dr.,<br />

Miami, FL.<br />

Information about differences in sex ratio at size and possible sexual<br />

dimorphism in growth have raised questions regarding likely biases that may be<br />

incurred during swordfish stock assessments. In this study, the 1978-89 catch<br />

at length data is separated into sexes and converted into catch at age using<br />

three growth curves (two sex specific ones and the one used in the 1990<br />

assessment). The U.S. and Spain CPUE data were treated similarly to derive<br />

age specific indices <strong>of</strong> abundance for each sex-growth curve combination.<br />

Virtual population analyses (VPAs) were carried out on the resulting data sets<br />

to better understand how trends in population size and fishing mortality may<br />

differ depending on the growth hypothesis used.<br />

Rettig, R. Bruce (1984). "License Limitation in the United States and<br />

Canada: An Assessment." North American Journal <strong>of</strong> Fisheries<br />

Management, 4(3):231-248.<br />

License limitation is finding increasing acceptance. Reasons for growth<br />

in license control include its relationship to other management measures and<br />

its similarity to other forms <strong>of</strong> public regulation in North American.<br />

Experiences with license control in several areas <strong>of</strong> the United States and<br />

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